Overview

Dataset statistics

Number of variables133
Number of observations41
Missing cells11
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory48.0 KiB
Average record size in memory1.2 KiB

Variable types

Text1
Numeric132

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국주택가격동향조사 월간동향 중 종합주택유형 평균매매가격 데이터입니다. - 단위 : 천원 - 공표시기(월간) : 익월 15일(발표일이 휴일인 경우 그 다음날)
Author한국부동산원
URLhttps://www.data.go.kr/data/15112203/fileData.do

Alerts

2012-01 has 1 (2.4%) missing valuesMissing
2012-02 has 1 (2.4%) missing valuesMissing
2012-03 has 1 (2.4%) missing valuesMissing
2012-04 has 1 (2.4%) missing valuesMissing
2012-05 has 1 (2.4%) missing valuesMissing
2012-06 has 1 (2.4%) missing valuesMissing
2012-07 has 1 (2.4%) missing valuesMissing
2012-08 has 1 (2.4%) missing valuesMissing
2012-09 has 1 (2.4%) missing valuesMissing
2012-10 has 1 (2.4%) missing valuesMissing
2012-11 has 1 (2.4%) missing valuesMissing
지역 has unique valuesUnique
2012-12 has unique valuesUnique
2013-01 has unique valuesUnique
2013-02 has unique valuesUnique
2013-03 has unique valuesUnique
2013-04 has unique valuesUnique
2013-05 has unique valuesUnique
2013-06 has unique valuesUnique
2013-07 has unique valuesUnique
2013-08 has unique valuesUnique
2013-09 has unique valuesUnique
2013-10 has unique valuesUnique
2013-11 has unique valuesUnique
2014-01 has unique valuesUnique
2014-02 has unique valuesUnique
2014-03 has unique valuesUnique
2014-04 has unique valuesUnique
2014-05 has unique valuesUnique
2014-06 has unique valuesUnique
2014-07 has unique valuesUnique
2014-08 has unique valuesUnique
2014-09 has unique valuesUnique
2014-10 has unique valuesUnique
2014-11 has unique valuesUnique
2014-12 has unique valuesUnique
2015-01 has unique valuesUnique
2015-02 has unique valuesUnique
2015-03 has unique valuesUnique
2015-04 has unique valuesUnique
2015-05 has unique valuesUnique
2015-06 has unique valuesUnique
2015-07 has unique valuesUnique
2015-08 has unique valuesUnique
2015-09 has unique valuesUnique
2015-10 has unique valuesUnique
2015-11 has unique valuesUnique
2015-12 has unique valuesUnique
2016-01 has unique valuesUnique
2016-02 has unique valuesUnique
2016-03 has unique valuesUnique
2016-04 has unique valuesUnique
2016-05 has unique valuesUnique
2016-06 has unique valuesUnique
2016-07 has unique valuesUnique
2016-08 has unique valuesUnique
2016-09 has unique valuesUnique
2016-10 has unique valuesUnique
2016-11 has unique valuesUnique
2016-12 has unique valuesUnique
2017-01 has unique valuesUnique
2017-02 has unique valuesUnique
2017-03 has unique valuesUnique
2017-04 has unique valuesUnique
2017-05 has unique valuesUnique
2017-06 has unique valuesUnique
2017-07 has unique valuesUnique
2017-08 has unique valuesUnique
2017-09 has unique valuesUnique
2017-10 has unique valuesUnique
2017-11 has unique valuesUnique
2017-12 has unique valuesUnique
2018-01 has unique valuesUnique
2018-02 has unique valuesUnique
2018-03 has unique valuesUnique
2018-04 has unique valuesUnique
2018-05 has unique valuesUnique
2018-06 has unique valuesUnique
2018-07 has unique valuesUnique
2018-08 has unique valuesUnique
2018-09 has unique valuesUnique
2018-10 has unique valuesUnique
2018-11 has unique valuesUnique
2018-12 has unique valuesUnique
2019-01 has unique valuesUnique
2019-02 has unique valuesUnique
2019-03 has unique valuesUnique
2019-04 has unique valuesUnique
2019-05 has unique valuesUnique
2019-06 has unique valuesUnique
2019-07 has unique valuesUnique
2019-08 has unique valuesUnique
2019-09 has unique valuesUnique
2019-10 has unique valuesUnique
2019-11 has unique valuesUnique
2019-12 has unique valuesUnique
2020-01 has unique valuesUnique
2020-02 has unique valuesUnique
2020-03 has unique valuesUnique
2020-04 has unique valuesUnique
2020-05 has unique valuesUnique
2020-06 has unique valuesUnique
2020-07 has unique valuesUnique
2020-08 has unique valuesUnique
2020-09 has unique valuesUnique
2020-10 has unique valuesUnique
2020-11 has unique valuesUnique
2020-12 has unique valuesUnique
2021-01 has unique valuesUnique
2021-02 has unique valuesUnique
2021-03 has unique valuesUnique
2021-04 has unique valuesUnique
2021-05 has unique valuesUnique
2021-06 has unique valuesUnique
2021-07 has unique valuesUnique
2021-08 has unique valuesUnique
2021-09 has unique valuesUnique
2021-10 has unique valuesUnique
2021-11 has unique valuesUnique
2021-12 has unique valuesUnique
2022-01 has unique valuesUnique
2022-02 has unique valuesUnique
2022-03 has unique valuesUnique
2022-04 has unique valuesUnique
2022-05 has unique valuesUnique
2022-06 has unique valuesUnique
2022-07 has unique valuesUnique
2022-08 has unique valuesUnique
2022-09 has unique valuesUnique
2022-10 has unique valuesUnique
2022-11 has unique valuesUnique
2022-12 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:42:30.078367
Analysis finished2023-12-12 04:42:31.474431
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-12T13:42:31.650101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length4.8780488
Min length2

Characters and Unicode

Total characters200
Distinct characters43
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row전국
2nd row수도권
3rd row지방권
4th row6대광역시
5th row5대광역시
ValueCountFrequency (%)
서울 8
 
12.5%
경기 8
 
12.5%
부산 4
 
6.2%
강남지역 4
 
6.2%
강북지역 4
 
6.2%
중부산권 1
 
1.6%
동부산권 1
 
1.6%
서부산권 1
 
1.6%
대구 1
 
1.6%
광주 1
 
1.6%
Other values (31) 31
48.4%
2023-12-12T13:42:32.058083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
23
 
11.5%
17
 
8.5%
14
 
7.0%
12
 
6.0%
11
 
5.5%
10
 
5.0%
9
 
4.5%
9
 
4.5%
9
 
4.5%
9
 
4.5%
Other values (33) 77
38.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 169
84.5%
Space Separator 23
 
11.5%
Decimal Number 8
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
17
 
10.1%
14
 
8.3%
12
 
7.1%
11
 
6.5%
10
 
5.9%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
Other values (26) 60
35.5%
Decimal Number
ValueCountFrequency (%)
2 2
25.0%
1 2
25.0%
8 1
12.5%
9 1
12.5%
5 1
12.5%
6 1
12.5%
Space Separator
ValueCountFrequency (%)
23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 169
84.5%
Common 31
 
15.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
17
 
10.1%
14
 
8.3%
12
 
7.1%
11
 
6.5%
10
 
5.9%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
Other values (26) 60
35.5%
Common
ValueCountFrequency (%)
23
74.2%
2 2
 
6.5%
1 2
 
6.5%
8 1
 
3.2%
9 1
 
3.2%
5 1
 
3.2%
6 1
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 169
84.5%
ASCII 31
 
15.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
23
74.2%
2 2
 
6.5%
1 2
 
6.5%
8 1
 
3.2%
9 1
 
3.2%
5 1
 
3.2%
6 1
 
3.2%
Hangul
ValueCountFrequency (%)
17
 
10.1%
14
 
8.3%
12
 
7.1%
11
 
6.5%
10
 
5.9%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
9
 
5.3%
Other values (26) 60
35.5%

2012-01
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean252871.23
Minimum84838
Maximum751883
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:32.233664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84838
5-th percentile112001.05
Q1159208.75
median194494
Q3304863.25
95-th percentile577096.5
Maximum751883
Range667045
Interquartile range (IQR)145654.5

Descriptive statistics

Standard deviation148342.63
Coefficient of variation (CV)0.58663311
Kurtosis2.5324187
Mean252871.23
Median Absolute Deviation (MAD)66058
Skewness1.5947838
Sum10114849
Variance2.2005537 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:32.428720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
241108 1
 
2.4%
285596 1
 
2.4%
193693 1
 
2.4%
195295 1
 
2.4%
185506 1
 
2.4%
224813 1
 
2.4%
177239 1
 
2.4%
163724 1
 
2.4%
132796 1
 
2.4%
197017 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
84838 1
2.4%
108240 1
2.4%
112199 1
2.4%
115390 1
2.4%
124615 1
2.4%
125765 1
2.4%
131107 1
2.4%
132796 1
2.4%
135150 1
2.4%
146377 1
2.4%
ValueCountFrequency (%)
751883 1
2.4%
583680 1
2.4%
576750 1
2.4%
484415 1
2.4%
437329 1
2.4%
386182 1
2.4%
384639 1
2.4%
359451 1
2.4%
357785 1
2.4%
343420 1
2.4%

2012-02
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean252599.7
Minimum84929
Maximum747515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:32.594482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84929
5-th percentile112151.35
Q1159126.75
median194097.5
Q3304453.75
95-th percentile575086.9
Maximum747515
Range662586
Interquartile range (IQR)145327

Descriptive statistics

Standard deviation147689.66
Coefficient of variation (CV)0.58467868
Kurtosis2.4874006
Mean252599.7
Median Absolute Deviation (MAD)65522
Skewness1.587096
Sum10103988
Variance2.1812235 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:32.768437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
240843 1
 
2.4%
285582 1
 
2.4%
193374 1
 
2.4%
194821 1
 
2.4%
185520 1
 
2.4%
223772 1
 
2.4%
176613 1
 
2.4%
164236 1
 
2.4%
132770 1
 
2.4%
196065 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
84929 1
2.4%
108434 1
2.4%
112347 1
2.4%
115695 1
2.4%
124782 1
2.4%
125897 1
2.4%
131254 1
2.4%
132770 1
2.4%
136909 1
2.4%
146448 1
2.4%
ValueCountFrequency (%)
747515 1
2.4%
583483 1
2.4%
574645 1
2.4%
483187 1
2.4%
437025 1
2.4%
385886 1
2.4%
384157 1
2.4%
359226 1
2.4%
357251 1
2.4%
342793 1
2.4%

2012-03
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean252166.42
Minimum84927
Maximum743036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:32.956793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84927
5-th percentile112552.3
Q1159345
median193763.5
Q3303690.25
95-th percentile572465.25
Maximum743036
Range658109
Interquartile range (IQR)144345.25

Descriptive statistics

Standard deviation146762.83
Coefficient of variation (CV)0.58200782
Kurtosis2.4649695
Mean252166.42
Median Absolute Deviation (MAD)64801
Skewness1.5829683
Sum10086657
Variance2.1539329 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:33.147636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
240486 1
 
2.4%
284380 1
 
2.4%
192997 1
 
2.4%
194530 1
 
2.4%
185609 1
 
2.4%
223522 1
 
2.4%
175642 1
 
2.4%
164924 1
 
2.4%
133364 1
 
2.4%
195746 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
84927 1
2.4%
109024 1
2.4%
112738 1
2.4%
115928 1
2.4%
125098 1
2.4%
126314 1
2.4%
131611 1
2.4%
133364 1
2.4%
137100 1
2.4%
146718 1
2.4%
ValueCountFrequency (%)
743036 1
2.4%
581628 1
2.4%
571983 1
2.4%
481343 1
2.4%
435810 1
2.4%
384912 1
2.4%
383424 1
2.4%
358370 1
2.4%
356403 1
2.4%
341758 1
2.4%

2012-04
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean251364.85
Minimum85284
Maximum732607
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:33.306060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85284
5-th percentile112830.5
Q1159209.75
median193388.5
Q3302426.25
95-th percentile567065.1
Maximum732607
Range647323
Interquartile range (IQR)143216.5

Descriptive statistics

Standard deviation145149.62
Coefficient of variation (CV)0.57744596
Kurtosis2.3686013
Mean251364.85
Median Absolute Deviation (MAD)64010.5
Skewness1.5650614
Sum10054594
Variance2.1068412 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:33.476541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
239725 1
 
2.4%
282983 1
 
2.4%
192741 1
 
2.4%
194036 1
 
2.4%
185471 1
 
2.4%
222923 1
 
2.4%
174680 1
 
2.4%
165526 1
 
2.4%
133666 1
 
2.4%
195304 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85284 1
2.4%
109249 1
2.4%
113019 1
2.4%
116122 1
2.4%
125308 1
2.4%
126686 1
2.4%
132070 1
2.4%
133666 1
2.4%
137614 1
2.4%
146870 1
2.4%
ValueCountFrequency (%)
732607 1
2.4%
581260 1
2.4%
566318 1
2.4%
477814 1
2.4%
433937 1
2.4%
383655 1
2.4%
382362 1
2.4%
356535 1
2.4%
356245 1
2.4%
340011 1
2.4%

2012-05
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean250831.3
Minimum85382
Maximum729824
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:33.619212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85382
5-th percentile113105.2
Q1159004
median192804
Q3301209
95-th percentile564601.25
Maximum729824
Range644442
Interquartile range (IQR)142205

Descriptive statistics

Standard deviation144453.31
Coefficient of variation (CV)0.57589826
Kurtosis2.379647
Mean250831.3
Median Absolute Deviation (MAD)63092
Skewness1.5681297
Sum10033252
Variance2.0866759 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:33.771640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
239186 1
 
2.4%
281754 1
 
2.4%
192066 1
 
2.4%
193542 1
 
2.4%
185223 1
 
2.4%
222384 1
 
2.4%
173830 1
 
2.4%
165797 1
 
2.4%
134272 1
 
2.4%
194895 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85382 1
2.4%
109043 1
2.4%
113319 1
2.4%
116129 1
2.4%
125403 1
2.4%
126997 1
2.4%
132427 1
2.4%
134272 1
2.4%
138439 1
2.4%
146935 1
2.4%
ValueCountFrequency (%)
729824 1
2.4%
580813 1
2.4%
563748 1
2.4%
475972 1
2.4%
431537 1
2.4%
382589 1
2.4%
381241 1
2.4%
355603 1
2.4%
355194 1
2.4%
338820 1
2.4%

2012-06
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean249854.35
Minimum85522
Maximum722402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:33.928746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85522
5-th percentile113269.55
Q1158561.25
median191994
Q3299670
95-th percentile560258
Maximum722402
Range636880
Interquartile range (IQR)141108.75

Descriptive statistics

Standard deviation143215.98
Coefficient of variation (CV)0.57319787
Kurtosis2.3303321
Mean249854.35
Median Absolute Deviation (MAD)62101.5
Skewness1.5598757
Sum9994174
Variance2.0510818 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:34.074029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
238249 1
 
2.4%
279484 1
 
2.4%
191348 1
 
2.4%
192640 1
 
2.4%
184652 1
 
2.4%
221260 1
 
2.4%
172635 1
 
2.4%
165887 1
 
2.4%
134835 1
 
2.4%
193673 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85522 1
2.4%
108739 1
2.4%
113508 1
2.4%
116145 1
2.4%
125353 1
2.4%
127222 1
2.4%
132563 1
2.4%
134835 1
2.4%
138449 1
2.4%
146775 1
2.4%
ValueCountFrequency (%)
722402 1
2.4%
579581 1
2.4%
559241 1
2.4%
473092 1
2.4%
429350 1
2.4%
381440 1
2.4%
379452 1
2.4%
354850 1
2.4%
353913 1
2.4%
337044 1
2.4%

2012-07
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean248801.88
Minimum85424
Maximum715642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:34.248713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85424
5-th percentile113483.25
Q1158014.25
median191194
Q3297788.75
95-th percentile555933.5
Maximum715642
Range630218
Interquartile range (IQR)139774.5

Descriptive statistics

Standard deviation142072.69
Coefficient of variation (CV)0.5710274
Kurtosis2.2917232
Mean248801.88
Median Absolute Deviation (MAD)61076
Skewness1.5537666
Sum9952075
Variance2.0184649 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:34.408949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
237240 1
 
2.4%
277607 1
 
2.4%
190421 1
 
2.4%
191967 1
 
2.4%
184374 1
 
2.4%
220233 1
 
2.4%
171717 1
 
2.4%
165917 1
 
2.4%
135088 1
 
2.4%
192688 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85424 1
2.4%
108396 1
2.4%
113751 1
2.4%
116114 1
2.4%
125264 1
2.4%
127421 1
2.4%
132815 1
2.4%
135088 1
2.4%
138499 1
2.4%
146555 1
2.4%
ValueCountFrequency (%)
715642 1
2.4%
578439 1
2.4%
554749 1
2.4%
470288 1
2.4%
426663 1
2.4%
380431 1
2.4%
377128 1
2.4%
354405 1
2.4%
352718 1
2.4%
335183 1
2.4%

2012-08
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean247546.58
Minimum85490
Maximum707943
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:34.555340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85490
5-th percentile113766.8
Q1157581.75
median190289.5
Q3295513
95-th percentile550617.35
Maximum707943
Range622453
Interquartile range (IQR)137931.25

Descriptive statistics

Standard deviation140609.71
Coefficient of variation (CV)0.56801315
Kurtosis2.2577085
Mean247546.58
Median Absolute Deviation (MAD)60081.5
Skewness1.5478752
Sum9901863
Variance1.977109 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:34.696401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
236058 1
 
2.4%
274638 1
 
2.4%
189454 1
 
2.4%
191125 1
 
2.4%
183858 1
 
2.4%
219044 1
 
2.4%
170740 1
 
2.4%
166278 1
 
2.4%
135023 1
 
2.4%
191282 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85490 1
2.4%
108177 1
2.4%
114061 1
2.4%
115954 1
2.4%
125214 1
2.4%
127693 1
2.4%
132723 1
2.4%
135023 1
2.4%
138496 1
2.4%
146337 1
2.4%
ValueCountFrequency (%)
707943 1
2.4%
575856 1
2.4%
549289 1
2.4%
466853 1
2.4%
422986 1
2.4%
379151 1
2.4%
374494 1
2.4%
353726 1
2.4%
351459 1
2.4%
332959 1
2.4%

2012-09
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean246500.02
Minimum85580
Maximum701376
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:34.848667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85580
5-th percentile114131.65
Q1157436.5
median189647.5
Q3294077.5
95-th percentile546634.15
Maximum701376
Range615796
Interquartile range (IQR)136641

Descriptive statistics

Standard deviation139377.92
Coefficient of variation (CV)0.56542762
Kurtosis2.2338371
Mean246500.02
Median Absolute Deviation (MAD)59358.5
Skewness1.5444361
Sum9860001
Variance1.9426205 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:35.001588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
235050 1
 
2.4%
272447 1
 
2.4%
188543 1
 
2.4%
190752 1
 
2.4%
183675 1
 
2.4%
218769 1
 
2.4%
169935 1
 
2.4%
166441 1
 
2.4%
134990 1
 
2.4%
190992 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85580 1
2.4%
107570 1
2.4%
114477 1
2.4%
115914 1
2.4%
125215 1
2.4%
128005 1
2.4%
132573 1
2.4%
134990 1
2.4%
138489 1
2.4%
146266 1
2.4%
ValueCountFrequency (%)
701376 1
2.4%
573902 1
2.4%
545199 1
2.4%
464112 1
2.4%
420868 1
2.4%
377845 1
2.4%
371083 1
2.4%
352007 1
2.4%
350431 1
2.4%
330940 1
2.4%

2012-10
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean245595.17
Minimum85599
Maximum696248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:35.172167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85599
5-th percentile114396.6
Q1157364.25
median189091
Q3293204.75
95-th percentile543510.65
Maximum696248
Range610649
Interquartile range (IQR)135840.5

Descriptive statistics

Standard deviation138302
Coefficient of variation (CV)0.56312994
Kurtosis2.2244602
Mean245595.17
Median Absolute Deviation (MAD)58643
Skewness1.5432351
Sum9823807
Variance1.9127442 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:35.327598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
234198 1
 
2.4%
270792 1
 
2.4%
187609 1
 
2.4%
190573 1
 
2.4%
183625 1
 
2.4%
218599 1
 
2.4%
169531 1
 
2.4%
166701 1
 
2.4%
135005 1
 
2.4%
191101 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85599 1
2.4%
107169 1
2.4%
114777 1
2.4%
115869 1
2.4%
125242 1
2.4%
128284 1
2.4%
132612 1
2.4%
135005 1
2.4%
138483 1
2.4%
146280 1
2.4%
ValueCountFrequency (%)
696248 1
2.4%
571320 1
2.4%
542047 1
2.4%
461765 1
2.4%
419290 1
2.4%
376354 1
2.4%
367567 1
2.4%
350292 1
2.4%
349229 1
2.4%
329153 1
2.4%

2012-11
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean244882.98
Minimum85380
Maximum694230
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:35.713603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85380
5-th percentile114688.75
Q1157308.75
median188652
Q3291896.25
95-th percentile541516.6
Maximum694230
Range608850
Interquartile range (IQR)134587.5

Descriptive statistics

Standard deviation137582.16
Coefficient of variation (CV)0.56182821
Kurtosis2.2543736
Mean244882.98
Median Absolute Deviation (MAD)58015.5
Skewness1.5490334
Sum9795319
Variance1.8928852 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:35.850056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
233522 1
 
2.4%
269400 1
 
2.4%
186956 1
 
2.4%
190348 1
 
2.4%
183416 1
 
2.4%
218524 1
 
2.4%
169107 1
 
2.4%
166945 1
 
2.4%
135123 1
 
2.4%
191361 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
85380 1
2.4%
106628 1
2.4%
115113 1
2.4%
115788 1
2.4%
125238 1
2.4%
128555 1
2.4%
132718 1
2.4%
135123 1
2.4%
138443 1
2.4%
146310 1
2.4%
ValueCountFrequency (%)
694230 1
2.4%
568679 1
2.4%
540087 1
2.4%
459987 1
2.4%
417376 1
2.4%
374769 1
2.4%
364568 1
2.4%
350018 1
2.4%
347354 1
2.4%
327714 1
2.4%

2012-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240236.07
Minimum85570
Maximum681311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:35.979215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85570
5-th percentile115200
Q1150162
median185442
Q3272895
95-th percentile530515
Maximum681311
Range595741
Interquartile range (IQR)122733

Descriptive statistics

Standard deviation133847.54
Coefficient of variation (CV)0.55715004
Kurtosis2.3715043
Mean240236.07
Median Absolute Deviation (MAD)52690
Skewness1.5860443
Sum9849679
Variance1.7915163 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:36.154992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
231416 1
 
2.4%
208756 1
 
2.4%
184668 1
 
2.4%
188977 1
 
2.4%
181174 1
 
2.4%
216616 1
 
2.4%
169018 1
 
2.4%
167472 1
 
2.4%
135518 1
 
2.4%
191125 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85570 1
2.4%
105860 1
2.4%
115200 1
2.4%
115996 1
2.4%
125298 1
2.4%
130818 1
2.4%
132752 1
2.4%
135518 1
2.4%
138045 1
2.4%
146395 1
2.4%
ValueCountFrequency (%)
681311 1
2.4%
564110 1
2.4%
530515 1
2.4%
452120 1
2.4%
410086 1
2.4%
370277 1
2.4%
362577 1
2.4%
344628 1
2.4%
343353 1
2.4%
322524 1
2.4%

2013-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239328.24
Minimum85533
Maximum676083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:36.279019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85533
5-th percentile115633
Q1150849
median185158
Q3271345
95-th percentile526716
Maximum676083
Range590550
Interquartile range (IQR)120496

Descriptive statistics

Standard deviation132832.16
Coefficient of variation (CV)0.55502084
Kurtosis2.365682
Mean239328.24
Median Absolute Deviation (MAD)52542
Skewness1.5861242
Sum9812458
Variance1.7644383 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:36.414260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
230467 1
 
2.4%
208529 1
 
2.4%
183452 1
 
2.4%
188481 1
 
2.4%
180802 1
 
2.4%
216076 1
 
2.4%
168366 1
 
2.4%
168210 1
 
2.4%
135522 1
 
2.4%
191139 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85533 1
2.4%
105317 1
2.4%
115633 1
2.4%
115957 1
2.4%
125232 1
2.4%
131093 1
2.4%
132616 1
2.4%
135522 1
2.4%
137938 1
2.4%
146346 1
2.4%
ValueCountFrequency (%)
676083 1
2.4%
563256 1
2.4%
526716 1
2.4%
449525 1
2.4%
407428 1
2.4%
368940 1
2.4%
359435 1
2.4%
344340 1
2.4%
341519 1
2.4%
320611 1
2.4%

2013-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238784.78
Minimum85391
Maximum674250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:36.548543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85391
5-th percentile115829
Q1151784
median185268
Q3270220
95-th percentile525056
Maximum674250
Range588859
Interquartile range (IQR)118436

Descriptive statistics

Standard deviation132340.38
Coefficient of variation (CV)0.55422452
Kurtosis2.390101
Mean238784.78
Median Absolute Deviation (MAD)52628
Skewness1.5924445
Sum9790176
Variance1.7513976 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:36.673390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229870 1
 
2.4%
208190 1
 
2.4%
182482 1
 
2.4%
188185 1
 
2.4%
180671 1
 
2.4%
215434 1
 
2.4%
168203 1
 
2.4%
168510 1
 
2.4%
135623 1
 
2.4%
190959 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85391 1
2.4%
105224 1
2.4%
115829 1
2.4%
115927 1
2.4%
125212 1
2.4%
131177 1
2.4%
132640 1
2.4%
135623 1
2.4%
137897 1
2.4%
146304 1
2.4%
ValueCountFrequency (%)
674250 1
2.4%
562864 1
2.4%
525056 1
2.4%
448106 1
2.4%
405905 1
2.4%
367773 1
2.4%
357409 1
2.4%
343940 1
2.4%
339907 1
2.4%
319418 1
2.4%

2013-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238787.8
Minimum85240
Maximum674600
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:36.815471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85240
5-th percentile115567
Q1152807
median185313
Q3269505
95-th percentile528064
Maximum674600
Range589360
Interquartile range (IQR)116698

Descriptive statistics

Standard deviation132617.31
Coefficient of variation (CV)0.55537725
Kurtosis2.3818616
Mean238787.8
Median Absolute Deviation (MAD)52661
Skewness1.5954414
Sum9790300
Variance1.7587352 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:36.938757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229875 1
 
2.4%
207948 1
 
2.4%
181728 1
 
2.4%
187982 1
 
2.4%
180550 1
 
2.4%
214969 1
 
2.4%
168177 1
 
2.4%
168798 1
 
2.4%
135733 1
 
2.4%
191027 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85240 1
2.4%
105106 1
2.4%
115567 1
2.4%
116350 1
2.4%
125270 1
2.4%
131347 1
2.4%
132652 1
2.4%
135733 1
2.4%
137879 1
2.4%
146340 1
2.4%
ValueCountFrequency (%)
674600 1
2.4%
562017 1
2.4%
528064 1
2.4%
449334 1
2.4%
411037 1
2.4%
367142 1
2.4%
356407 1
2.4%
342586 1
2.4%
339596 1
2.4%
319391 1
2.4%

2013-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238942.95
Minimum85099
Maximum679581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:37.066103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85099
5-th percentile115374
Q1153535
median185758
Q3269740
95-th percentile530252
Maximum679581
Range594482
Interquartile range (IQR)116205

Descriptive statistics

Standard deviation132965.16
Coefficient of variation (CV)0.55647243
Kurtosis2.4626452
Mean238942.95
Median Absolute Deviation (MAD)52737
Skewness1.6111914
Sum9796661
Variance1.7679735 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:37.202516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229924 1
 
2.4%
208199 1
 
2.4%
182890 1
 
2.4%
188004 1
 
2.4%
180363 1
 
2.4%
215044 1
 
2.4%
168492 1
 
2.4%
170028 1
 
2.4%
135971 1
 
2.4%
189248 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85099 1
2.4%
105230 1
2.4%
115374 1
2.4%
116488 1
2.4%
125416 1
2.4%
131526 1
2.4%
133021 1
2.4%
135971 1
2.4%
137851 1
2.4%
146465 1
2.4%
ValueCountFrequency (%)
679581 1
2.4%
559510 1
2.4%
530252 1
2.4%
449777 1
2.4%
412639 1
2.4%
366278 1
2.4%
357027 1
2.4%
341541 1
2.4%
339116 1
2.4%
319466 1
2.4%

2013-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239290.83
Minimum85004
Maximum682322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:37.331334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85004
5-th percentile115410
Q1154501
median186118
Q3270103
95-th percentile531736
Maximum682322
Range597318
Interquartile range (IQR)115602

Descriptive statistics

Standard deviation133220.26
Coefficient of variation (CV)0.5567295
Kurtosis2.49543
Mean239290.83
Median Absolute Deviation (MAD)53000
Skewness1.6168276
Sum9810924
Variance1.7747639 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:37.464422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
230307 1
 
2.4%
208316 1
 
2.4%
183031 1
 
2.4%
188071 1
 
2.4%
180355 1
 
2.4%
215066 1
 
2.4%
168741 1
 
2.4%
171216 1
 
2.4%
136110 1
 
2.4%
189389 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85004 1
2.4%
105188 1
2.4%
115410 1
2.4%
117004 1
2.4%
125646 1
2.4%
131840 1
2.4%
133118 1
2.4%
136110 1
2.4%
137832 1
2.4%
146745 1
2.4%
ValueCountFrequency (%)
682322 1
2.4%
558746 1
2.4%
531736 1
2.4%
450617 1
2.4%
413132 1
2.4%
366451 1
2.4%
357526 1
2.4%
341555 1
2.4%
339527 1
2.4%
319959 1
2.4%

2013-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239079.29
Minimum84936
Maximum679186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:37.621457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84936
5-th percentile115244
Q1155153
median186266
Q3269866
95-th percentile529958
Maximum679186
Range594250
Interquartile range (IQR)114713

Descriptive statistics

Standard deviation132594.52
Coefficient of variation (CV)0.55460477
Kurtosis2.4697399
Mean239079.29
Median Absolute Deviation (MAD)53015
Skewness1.6104896
Sum9802251
Variance1.7581306 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:37.784767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
230150 1
 
2.4%
208582 1
 
2.4%
182985 1
 
2.4%
187966 1
 
2.4%
180137 1
 
2.4%
215009 1
 
2.4%
168771 1
 
2.4%
172586 1
 
2.4%
136170 1
 
2.4%
189384 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84936 1
2.4%
104965 1
2.4%
115244 1
2.4%
117494 1
2.4%
125759 1
2.4%
132085 1
2.4%
133251 1
2.4%
136170 1
2.4%
137843 1
2.4%
146939 1
2.4%
ValueCountFrequency (%)
679186 1
2.4%
557049 1
2.4%
529958 1
2.4%
449324 1
2.4%
412424 1
2.4%
365661 1
2.4%
357866 1
2.4%
341332 1
2.4%
338690 1
2.4%
319425 1
2.4%

2013-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238429.51
Minimum84525
Maximum674320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:37.979400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84525
5-th percentile115139
Q1155192
median186237
Q3265046
95-th percentile526808
Maximum674320
Range589795
Interquartile range (IQR)109854

Descriptive statistics

Standard deviation131638.88
Coefficient of variation (CV)0.55210816
Kurtosis2.452312
Mean238429.51
Median Absolute Deviation (MAD)52938
Skewness1.6073915
Sum9775610
Variance1.7328794 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:38.211297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229578 1
 
2.4%
208837 1
 
2.4%
182782 1
 
2.4%
187725 1
 
2.4%
179799 1
 
2.4%
214783 1
 
2.4%
168675 1
 
2.4%
174474 1
 
2.4%
136231 1
 
2.4%
188904 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84525 1
2.4%
104750 1
2.4%
115139 1
2.4%
118248 1
2.4%
125839 1
2.4%
132185 1
2.4%
133299 1
2.4%
136231 1
2.4%
137808 1
2.4%
147107 1
2.4%
ValueCountFrequency (%)
674320 1
2.4%
555532 1
2.4%
526808 1
2.4%
447128 1
2.4%
410625 1
2.4%
364454 1
2.4%
356849 1
2.4%
340986 1
2.4%
337211 1
2.4%
318059 1
2.4%

2013-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237868.27
Minimum84373
Maximum671109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:38.403437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84373
5-th percentile115013
Q1154906
median186158
Q3264513
95-th percentile524682
Maximum671109
Range586736
Interquartile range (IQR)109607

Descriptive statistics

Standard deviation130908.78
Coefficient of variation (CV)0.55034151
Kurtosis2.450639
Mean237868.27
Median Absolute Deviation (MAD)52834
Skewness1.6064439
Sum9752599
Variance1.7137109 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:38.559926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229072 1
 
2.4%
208556 1
 
2.4%
182540 1
 
2.4%
187544 1
 
2.4%
179660 1
 
2.4%
214561 1
 
2.4%
168473 1
 
2.4%
175512 1
 
2.4%
136151 1
 
2.4%
188446 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84373 1
2.4%
104615 1
2.4%
115013 1
2.4%
118541 1
2.4%
125836 1
2.4%
132275 1
2.4%
133324 1
2.4%
136151 1
2.4%
137677 1
2.4%
147127 1
2.4%
ValueCountFrequency (%)
671109 1
2.4%
553629 1
2.4%
524682 1
2.4%
445222 1
2.4%
409355 1
2.4%
362776 1
2.4%
355854 1
2.4%
339688 1
2.4%
335429 1
2.4%
316987 1
2.4%

2013-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237874.76
Minimum84278
Maximum672490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:38.721361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84278
5-th percentile115097
Q1154987
median186105
Q3264019
95-th percentile525648
Maximum672490
Range588212
Interquartile range (IQR)109032

Descriptive statistics

Standard deviation130992.03
Coefficient of variation (CV)0.55067646
Kurtosis2.4780504
Mean237874.76
Median Absolute Deviation (MAD)52668
Skewness1.6121552
Sum9752865
Variance1.7158911 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:38.862836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229121 1
 
2.4%
208475 1
 
2.4%
182572 1
 
2.4%
187443 1
 
2.4%
179568 1
 
2.4%
214411 1
 
2.4%
168414 1
 
2.4%
176259 1
 
2.4%
136120 1
 
2.4%
188274 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84278 1
2.4%
104478 1
2.4%
115097 1
2.4%
118928 1
2.4%
125929 1
2.4%
132409 1
2.4%
133437 1
2.4%
136120 1
2.4%
137596 1
2.4%
147220 1
2.4%
ValueCountFrequency (%)
672490 1
2.4%
552657 1
2.4%
525648 1
2.4%
445369 1
2.4%
409995 1
2.4%
362073 1
2.4%
355923 1
2.4%
339454 1
2.4%
334596 1
2.4%
316991 1
2.4%

2013-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238445.44
Minimum84277
Maximum675285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:38.997520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84277
5-th percentile115288
Q1155377
median186595
Q3264973
95-th percentile527615
Maximum675285
Range591008
Interquartile range (IQR)109596

Descriptive statistics

Standard deviation131367.19
Coefficient of variation (CV)0.55093188
Kurtosis2.4909881
Mean238445.44
Median Absolute Deviation (MAD)53085
Skewness1.6132657
Sum9776263
Variance1.7257339 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:39.143564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
229739 1
 
2.4%
208753 1
 
2.4%
183223 1
 
2.4%
187705 1
 
2.4%
179694 1
 
2.4%
214581 1
 
2.4%
169017 1
 
2.4%
177412 1
 
2.4%
136214 1
 
2.4%
188609 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84277 1
2.4%
104419 1
2.4%
115288 1
2.4%
119510 1
2.4%
126192 1
2.4%
132824 1
2.4%
133510 1
2.4%
136214 1
2.4%
137629 1
2.4%
147558 1
2.4%
ValueCountFrequency (%)
675285 1
2.4%
552054 1
2.4%
527615 1
2.4%
446669 1
2.4%
411309 1
2.4%
362681 1
2.4%
356895 1
2.4%
340109 1
2.4%
335415 1
2.4%
317909 1
2.4%

2013-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238753.98
Minimum84199
Maximum675248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:39.294979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84199
5-th percentile115533
Q1155637
median186759
Q3264902
95-th percentile527952
Maximum675248
Range591049
Interquartile range (IQR)109265

Descriptive statistics

Standard deviation131291.03
Coefficient of variation (CV)0.5499009
Kurtosis2.4878707
Mean238753.98
Median Absolute Deviation (MAD)52652
Skewness1.6121381
Sum9788913
Variance1.7237334 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:39.443455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
230110 1
 
2.4%
209344 1
 
2.4%
183799 1
 
2.4%
187876 1
 
2.4%
179796 1
 
2.4%
214780 1
 
2.4%
169275 1
 
2.4%
179054 1
 
2.4%
136348 1
 
2.4%
188939 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84199 1
2.4%
104440 1
2.4%
115533 1
2.4%
119932 1
2.4%
126555 1
2.4%
133889 1
2.4%
134107 1
2.4%
136348 1
2.4%
137812 1
2.4%
148001 1
2.4%
ValueCountFrequency (%)
675248 1
2.4%
551878 1
2.4%
527952 1
2.4%
446890 1
2.4%
411941 1
2.4%
362782 1
2.4%
357226 1
2.4%
340192 1
2.4%
335576 1
2.4%
318203 1
2.4%

2013-12
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean238958.41
Minimum84132
Maximum675223
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:39.589943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84132
5-th percentile115714
Q1155890
median186947
Q3264784
95-th percentile527481
Maximum675223
Range591091
Interquartile range (IQR)108894

Descriptive statistics

Standard deviation131141.92
Coefficient of variation (CV)0.54880645
Kurtosis2.4909724
Mean238958.41
Median Absolute Deviation (MAD)52491
Skewness1.611265
Sum9797295
Variance1.7198203 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:39.779368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
181090 2
 
4.9%
230364 1
 
2.4%
155890 1
 
2.4%
184043 1
 
2.4%
188041 1
 
2.4%
179959 1
 
2.4%
214870 1
 
2.4%
169533 1
 
2.4%
136356 1
 
2.4%
189079 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
84132 1
2.4%
104493 1
2.4%
115714 1
2.4%
120453 1
2.4%
126813 1
2.4%
134367 1
2.4%
134456 1
2.4%
136356 1
2.4%
138140 1
2.4%
148372 1
2.4%
ValueCountFrequency (%)
675223 1
2.4%
551577 1
2.4%
527481 1
2.4%
446743 1
2.4%
411118 1
2.4%
362972 1
2.4%
357927 1
2.4%
340334 1
2.4%
335877 1
2.4%
318331 1
2.4%

2014-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean239953.76
Minimum84635
Maximum673330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:39.976117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84635
5-th percentile116695
Q1160953
median187939
Q3274946
95-th percentile519302
Maximum673330
Range588695
Interquartile range (IQR)113993

Descriptive statistics

Standard deviation129556.38
Coefficient of variation (CV)0.53992229
Kurtosis2.5289126
Mean239953.76
Median Absolute Deviation (MAD)51013
Skewness1.599601
Sum9838104
Variance1.6784856 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:40.145973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
231351 1
 
2.4%
211167 1
 
2.4%
187939 1
 
2.4%
189266 1
 
2.4%
179079 1
 
2.4%
219987 1
 
2.4%
169659 1
 
2.4%
183910 1
 
2.4%
137498 1
 
2.4%
192625 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84635 1
2.4%
105230 1
2.4%
116695 1
2.4%
121408 1
2.4%
127827 1
2.4%
134605 1
2.4%
136926 1
2.4%
137498 1
2.4%
140256 1
2.4%
149789 1
2.4%
ValueCountFrequency (%)
673330 1
2.4%
551178 1
2.4%
519302 1
2.4%
442844 1
2.4%
397989 1
2.4%
363512 1
2.4%
358056 1
2.4%
341948 1
2.4%
336182 1
2.4%
318856 1
2.4%

2014-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240250.63
Minimum84563
Maximum675391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:40.738889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84563
5-th percentile116640
Q1160944
median188277
Q3275129
95-th percentile520880
Maximum675391
Range590828
Interquartile range (IQR)114185

Descriptive statistics

Standard deviation129957.86
Coefficient of variation (CV)0.54092619
Kurtosis2.5291278
Mean240250.63
Median Absolute Deviation (MAD)51146
Skewness1.6002593
Sum9850276
Variance1.6889045 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:40.949030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
231740 1
 
2.4%
206893 1
 
2.4%
188277 1
 
2.4%
189223 1
 
2.4%
179156 1
 
2.4%
219570 1
 
2.4%
169865 1
 
2.4%
185185 1
 
2.4%
137770 1
 
2.4%
192476 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84563 1
2.4%
105019 1
2.4%
116640 1
2.4%
121880 1
2.4%
127947 1
2.4%
134688 1
2.4%
137131 1
2.4%
137770 1
2.4%
140418 1
2.4%
149790 1
2.4%
ValueCountFrequency (%)
675391 1
2.4%
550908 1
2.4%
520880 1
2.4%
444004 1
2.4%
399186 1
2.4%
364240 1
2.4%
359514 1
2.4%
342292 1
2.4%
337247 1
2.4%
319661 1
2.4%

2014-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240771.22
Minimum84454
Maximum678034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:41.138458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84454
5-th percentile116611
Q1160911
median189003
Q3275471
95-th percentile522490
Maximum678034
Range593580
Interquartile range (IQR)114560

Descriptive statistics

Standard deviation130316.72
Coefficient of variation (CV)0.54124706
Kurtosis2.5399917
Mean240771.22
Median Absolute Deviation (MAD)51486
Skewness1.6006402
Sum9871620
Variance1.6982446 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:41.317611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232338 1
 
2.4%
207180 1
 
2.4%
189003 1
 
2.4%
189346 1
 
2.4%
179265 1
 
2.4%
219618 1
 
2.4%
170099 1
 
2.4%
186158 1
 
2.4%
138322 1
 
2.4%
192441 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84454 1
2.4%
105073 1
2.4%
116611 1
2.4%
122302 1
2.4%
128159 1
2.4%
134921 1
2.4%
137517 1
2.4%
138322 1
2.4%
140399 1
2.4%
150065 1
2.4%
ValueCountFrequency (%)
678034 1
2.4%
550343 1
2.4%
522490 1
2.4%
445126 1
2.4%
399982 1
2.4%
364855 1
2.4%
361190 1
2.4%
342710 1
2.4%
338163 1
2.4%
320606 1
2.4%

2014-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240844.41
Minimum84446
Maximum678192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:41.484590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84446
5-th percentile116576
Q1160798
median189280
Q3275401
95-th percentile522359
Maximum678192
Range593746
Interquartile range (IQR)114603

Descriptive statistics

Standard deviation130246.16
Coefficient of variation (CV)0.54078964
Kurtosis2.5476211
Mean240844.41
Median Absolute Deviation (MAD)51410
Skewness1.6016559
Sum9874621
Variance1.6964063 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:41.691839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232437 1
 
2.4%
207604 1
 
2.4%
189280 1
 
2.4%
189483 1
 
2.4%
179528 1
 
2.4%
219688 1
 
2.4%
170103 1
 
2.4%
187150 1
 
2.4%
138493 1
 
2.4%
192298 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84446 1
2.4%
104970 1
2.4%
116576 1
2.4%
122676 1
2.4%
128315 1
2.4%
135052 1
2.4%
137870 1
2.4%
138493 1
2.4%
140429 1
2.4%
150287 1
2.4%
ValueCountFrequency (%)
678192 1
2.4%
550002 1
2.4%
522359 1
2.4%
445140 1
2.4%
399623 1
2.4%
365019 1
2.4%
361181 1
2.4%
342838 1
2.4%
338437 1
2.4%
320573 1
2.4%

2014-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240803.71
Minimum84429
Maximum677422
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:41.916934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84429
5-th percentile116581
Q1160404
median189412
Q3275080
95-th percentile521785
Maximum677422
Range592993
Interquartile range (IQR)114676

Descriptive statistics

Standard deviation130047.03
Coefficient of variation (CV)0.5400541
Kurtosis2.5464525
Mean240803.71
Median Absolute Deviation (MAD)51309
Skewness1.6010867
Sum9872952
Variance1.691223 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:42.118371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232430 1
 
2.4%
208066 1
 
2.4%
189412 1
 
2.4%
189607 1
 
2.4%
179744 1
 
2.4%
219759 1
 
2.4%
170133 1
 
2.4%
188131 1
 
2.4%
138542 1
 
2.4%
192069 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84429 1
2.4%
104892 1
2.4%
116581 1
2.4%
122943 1
2.4%
128452 1
2.4%
135208 1
2.4%
138103 1
2.4%
138542 1
2.4%
140429 1
2.4%
150482 1
2.4%
ValueCountFrequency (%)
677422 1
2.4%
549578 1
2.4%
521785 1
2.4%
444804 1
2.4%
399203 1
2.4%
364930 1
2.4%
361062 1
2.4%
342905 1
2.4%
338351 1
2.4%
320350 1
2.4%

2014-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240788.41
Minimum84315
Maximum677234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:42.384665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84315
5-th percentile116505
Q1160176
median189412
Q3274821
95-th percentile521332
Maximum677234
Range592919
Interquartile range (IQR)114645

Descriptive statistics

Standard deviation129930.78
Coefficient of variation (CV)0.53960562
Kurtosis2.5535098
Mean240788.41
Median Absolute Deviation (MAD)51023
Skewness1.6017159
Sum9872325
Variance1.6882008 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:42.601361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232431 1
 
2.4%
208729 1
 
2.4%
189412 1
 
2.4%
189771 1
 
2.4%
180052 1
 
2.4%
219840 1
 
2.4%
170151 1
 
2.4%
188500 1
 
2.4%
138604 1
 
2.4%
191877 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84315 1
2.4%
104829 1
2.4%
116505 1
2.4%
123139 1
2.4%
128561 1
2.4%
135383 1
2.4%
138389 1
2.4%
138604 1
2.4%
140221 1
2.4%
150624 1
2.4%
ValueCountFrequency (%)
677234 1
2.4%
549453 1
2.4%
521332 1
2.4%
444506 1
2.4%
398543 1
2.4%
364793 1
2.4%
360932 1
2.4%
342909 1
2.4%
338157 1
2.4%
320200 1
2.4%

2014-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240802.54
Minimum84179
Maximum677764
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:42.798226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84179
5-th percentile116485
Q1159767
median189447
Q3274648
95-th percentile521384
Maximum677764
Range593585
Interquartile range (IQR)114881

Descriptive statistics

Standard deviation129938.7
Coefficient of variation (CV)0.53960686
Kurtosis2.5674844
Mean240802.54
Median Absolute Deviation (MAD)50838
Skewness1.6036814
Sum9872904
Variance1.6884066 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:43.019215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232383 1
 
2.4%
209304 1
 
2.4%
189447 1
 
2.4%
190006 1
 
2.4%
180351 1
 
2.4%
220132 1
 
2.4%
170212 1
 
2.4%
188899 1
 
2.4%
138754 1
 
2.4%
191797 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84179 1
2.4%
104705 1
2.4%
116485 1
2.4%
123305 1
2.4%
128604 1
2.4%
134692 1
2.4%
138609 1
2.4%
138754 1
2.4%
140279 1
2.4%
150710 1
2.4%
ValueCountFrequency (%)
677764 1
2.4%
549321 1
2.4%
521384 1
2.4%
444436 1
2.4%
398217 1
2.4%
364597 1
2.4%
360973 1
2.4%
342832 1
2.4%
337903 1
2.4%
320151 1
2.4%

2014-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241000.76
Minimum84089
Maximum679417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:43.236959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84089
5-th percentile116477
Q1159414
median189574
Q3274633
95-th percentile522036
Maximum679417
Range595328
Interquartile range (IQR)115219

Descriptive statistics

Standard deviation130091.94
Coefficient of variation (CV)0.53979889
Kurtosis2.5908548
Mean241000.76
Median Absolute Deviation (MAD)50919
Skewness1.6071526
Sum9881031
Variance1.6923913 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:43.437004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232606 1
 
2.4%
209890 1
 
2.4%
189574 1
 
2.4%
190224 1
 
2.4%
180579 1
 
2.4%
220401 1
 
2.4%
170349 1
 
2.4%
189519 1
 
2.4%
138892 1
 
2.4%
191835 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84089 1
2.4%
104641 1
2.4%
116477 1
2.4%
123478 1
2.4%
128727 1
2.4%
134819 1
2.4%
138655 1
2.4%
138892 1
2.4%
140446 1
2.4%
150904 1
2.4%
ValueCountFrequency (%)
679417 1
2.4%
549195 1
2.4%
522036 1
2.4%
444737 1
2.4%
398080 1
2.4%
364535 1
2.4%
361570 1
2.4%
342990 1
2.4%
337768 1
2.4%
320405 1
2.4%

2014-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241605.34
Minimum84096
Maximum682847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:43.642570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84096
5-th percentile116547
Q1159193
median190510
Q3274993
95-th percentile524166
Maximum682847
Range598751
Interquartile range (IQR)115800

Descriptive statistics

Standard deviation130617.2
Coefficient of variation (CV)0.54062213
Kurtosis2.6112444
Mean241605.34
Median Absolute Deviation (MAD)51801
Skewness1.6096432
Sum9905819
Variance1.7060852 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:43.884011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
233258 1
 
2.4%
210518 1
 
2.4%
189967 1
 
2.4%
190510 1
 
2.4%
180915 1
 
2.4%
220756 1
 
2.4%
170470 1
 
2.4%
190541 1
 
2.4%
139084 1
 
2.4%
192086 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84096 1
2.4%
104664 1
2.4%
116547 1
2.4%
123711 1
2.4%
128906 1
2.4%
135167 1
2.4%
138709 1
2.4%
139084 1
2.4%
140601 1
2.4%
151196 1
2.4%
ValueCountFrequency (%)
682847 1
2.4%
549484 1
2.4%
524166 1
2.4%
446083 1
2.4%
399187 1
2.4%
365066 1
2.4%
363123 1
2.4%
343639 1
2.4%
338299 1
2.4%
321444 1
2.4%

2014-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242224.93
Minimum84096
Maximum685610
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:44.126019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84096
5-th percentile116678
Q1159565
median190869
Q3275223
95-th percentile526065
Maximum685610
Range601514
Interquartile range (IQR)115658

Descriptive statistics

Standard deviation131053.21
Coefficient of variation (CV)0.54103932
Kurtosis2.6250126
Mean242224.93
Median Absolute Deviation (MAD)51784
Skewness1.6114922
Sum9931222
Variance1.7174944 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:44.354848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
233902 1
 
2.4%
211069 1
 
2.4%
190431 1
 
2.4%
190869 1
 
2.4%
181405 1
 
2.4%
220955 1
 
2.4%
170798 1
 
2.4%
191548 1
 
2.4%
139355 1
 
2.4%
192353 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84096 1
2.4%
104686 1
2.4%
116678 1
2.4%
124052 1
2.4%
129191 1
2.4%
135596 1
2.4%
139085 1
2.4%
139355 1
2.4%
140793 1
2.4%
151566 1
2.4%
ValueCountFrequency (%)
685610 1
2.4%
550083 1
2.4%
526065 1
2.4%
447357 1
2.4%
400406 1
2.4%
365691 1
2.4%
364479 1
2.4%
344456 1
2.4%
338856 1
2.4%
322382 1
2.4%

2014-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242219.51
Minimum84113
Maximum685815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:44.571685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84113
5-th percentile116800
Q1159535
median191202
Q3275384
95-th percentile526372
Maximum685815
Range601702
Interquartile range (IQR)115849

Descriptive statistics

Standard deviation130791.63
Coefficient of variation (CV)0.5399715
Kurtosis2.6767223
Mean242219.51
Median Absolute Deviation (MAD)51940
Skewness1.620945
Sum9931000
Variance1.7106451 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:44.789603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
233909 1
 
2.4%
211860 1
 
2.4%
190784 1
 
2.4%
191202 1
 
2.4%
181837 1
 
2.4%
221225 1
 
2.4%
171035 1
 
2.4%
192826 1
 
2.4%
139737 1
 
2.4%
192433 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84113 1
2.4%
104685 1
2.4%
116800 1
2.4%
124364 1
2.4%
129431 1
2.4%
136148 1
2.4%
139262 1
2.4%
139737 1
2.4%
140956 1
2.4%
151933 1
2.4%
ValueCountFrequency (%)
685815 1
2.4%
550529 1
2.4%
526372 1
2.4%
445647 1
2.4%
400793 1
2.4%
365313 1
2.4%
361888 1
2.4%
344698 1
2.4%
332683 1
2.4%
322002 1
2.4%

2014-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242467.27
Minimum84032
Maximum685103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:44.998320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum84032
5-th percentile116980
Q1159657
median191574
Q3275475
95-th percentile526088
Maximum685103
Range601071
Interquartile range (IQR)115818

Descriptive statistics

Standard deviation130652.29
Coefficient of variation (CV)0.53884504
Kurtosis2.6618287
Mean242467.27
Median Absolute Deviation (MAD)52128
Skewness1.6168813
Sum9941158
Variance1.707002 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:45.185307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
234176 1
 
2.4%
212359 1
 
2.4%
190937 1
 
2.4%
191574 1
 
2.4%
182370 1
 
2.4%
221556 1
 
2.4%
171185 1
 
2.4%
194323 1
 
2.4%
139844 1
 
2.4%
192226 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
84032 1
2.4%
104599 1
2.4%
116980 1
2.4%
124738 1
2.4%
129680 1
2.4%
136517 1
2.4%
139446 1
2.4%
139844 1
2.4%
141829 1
2.4%
152286 1
2.4%
ValueCountFrequency (%)
685103 1
2.4%
550662 1
2.4%
526088 1
2.4%
445586 1
2.4%
400847 1
2.4%
365917 1
2.4%
362059 1
2.4%
344827 1
2.4%
332877 1
2.4%
322176 1
2.4%

2015-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240276.73
Minimum85202
Maximum677402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:45.376821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85202
5-th percentile116798
Q1164296
median191736
Q3270036
95-th percentile517904
Maximum677402
Range592200
Interquartile range (IQR)105740

Descriptive statistics

Standard deviation128035.24
Coefficient of variation (CV)0.53286573
Kurtosis2.8369974
Mean240276.73
Median Absolute Deviation (MAD)52621
Skewness1.6585706
Sum9851346
Variance1.6393022 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:45.583352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
231658 1
 
2.4%
211627 1
 
2.4%
191736 1
 
2.4%
191180 1
 
2.4%
181421 1
 
2.4%
220190 1
 
2.4%
172855 1
 
2.4%
195153 1
 
2.4%
139115 1
 
2.4%
192656 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85202 1
2.4%
104739 1
2.4%
116798 1
2.4%
125970 1
2.4%
130217 1
2.4%
136717 1
2.4%
139115 1
2.4%
139174 1
2.4%
144242 1
2.4%
152664 1
2.4%
ValueCountFrequency (%)
677402 1
2.4%
547785 1
2.4%
517904 1
2.4%
440592 1
2.4%
391637 1
2.4%
358086 1
2.4%
356317 1
2.4%
339796 1
2.4%
329931 1
2.4%
316535 1
2.4%

2015-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean240780.56
Minimum85082
Maximum680351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:45.778826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85082
5-th percentile116903
Q1164337
median192073
Q3270879
95-th percentile519487
Maximum680351
Range595269
Interquartile range (IQR)106542

Descriptive statistics

Standard deviation128445.54
Coefficient of variation (CV)0.53345478
Kurtosis2.8614175
Mean240780.56
Median Absolute Deviation (MAD)52810
Skewness1.6619595
Sum9872003
Variance1.6498257 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:45.995783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
232181 1
 
2.4%
212054 1
 
2.4%
192073 1
 
2.4%
191556 1
 
2.4%
181902 1
 
2.4%
220661 1
 
2.4%
172941 1
 
2.4%
196176 1
 
2.4%
139533 1
 
2.4%
192678 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85082 1
2.4%
104709 1
2.4%
116903 1
2.4%
126228 1
2.4%
130360 1
2.4%
136862 1
2.4%
139263 1
2.4%
139533 1
2.4%
144872 1
2.4%
152939 1
2.4%
ValueCountFrequency (%)
680351 1
2.4%
548154 1
2.4%
519487 1
2.4%
441700 1
2.4%
392138 1
2.4%
358687 1
2.4%
357387 1
2.4%
340010 1
2.4%
330721 1
2.4%
317325 1
2.4%

2015-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241586.49
Minimum85096
Maximum685483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:46.197938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85096
5-th percentile117009
Q1164310
median192875
Q3271719
95-th percentile522199
Maximum685483
Range600387
Interquartile range (IQR)107409

Descriptive statistics

Standard deviation129168.6
Coefficient of variation (CV)0.53466816
Kurtosis2.9093932
Mean241586.49
Median Absolute Deviation (MAD)53451
Skewness1.6697168
Sum9905046
Variance1.6684528 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:46.399945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
233006 1
 
2.4%
212479 1
 
2.4%
192875 1
 
2.4%
192117 1
 
2.4%
182498 1
 
2.4%
221315 1
 
2.4%
173334 1
 
2.4%
197438 1
 
2.4%
140280 1
 
2.4%
192892 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85096 1
2.4%
104767 1
2.4%
117009 1
2.4%
126616 1
2.4%
130587 1
2.4%
137067 1
2.4%
139424 1
2.4%
140280 1
2.4%
145566 1
2.4%
153342 1
2.4%
ValueCountFrequency (%)
685483 1
2.4%
549102 1
2.4%
522199 1
2.4%
443560 1
2.4%
392935 1
2.4%
359637 1
2.4%
358892 1
2.4%
340464 1
2.4%
331857 1
2.4%
318603 1
2.4%

2015-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242710.46
Minimum85161
Maximum691064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:46.584712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85161
5-th percentile117252
Q1164336
median192993
Q3272775
95-th percentile525713
Maximum691064
Range605903
Interquartile range (IQR)108439

Descriptive statistics

Standard deviation130018.65
Coefficient of variation (CV)0.53569445
Kurtosis2.9424554
Mean242710.46
Median Absolute Deviation (MAD)53324
Skewness1.6737418
Sum9951129
Variance1.6904849 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:46.796034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
234157 1
 
2.4%
213213 1
 
2.4%
193893 1
 
2.4%
192993 1
 
2.4%
183461 1
 
2.4%
222460 1
 
2.4%
173740 1
 
2.4%
199521 1
 
2.4%
141815 1
 
2.4%
192977 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85161 1
2.4%
104786 1
2.4%
117252 1
2.4%
126981 1
2.4%
130841 1
2.4%
137339 1
2.4%
139669 1
2.4%
141815 1
2.4%
146178 1
2.4%
153932 1
2.4%
ValueCountFrequency (%)
691064 1
2.4%
549971 1
2.4%
525713 1
2.4%
445949 1
2.4%
394811 1
2.4%
361564 1
2.4%
360828 1
2.4%
341284 1
2.4%
333245 1
2.4%
320358 1
2.4%

2015-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean243640.61
Minimum85208
Maximum696176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:46.972763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85208
5-th percentile117477
Q1164382
median193604
Q3273790
95-th percentile529115
Maximum696176
Range610968
Interquartile range (IQR)109408

Descriptive statistics

Standard deviation130827.04
Coefficient of variation (CV)0.5369673
Kurtosis2.9753723
Mean243640.61
Median Absolute Deviation (MAD)53773
Skewness1.6783774
Sum9989265
Variance1.7115714 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:47.144227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
235123 1
 
2.4%
213828 1
 
2.4%
194673 1
 
2.4%
193604 1
 
2.4%
184062 1
 
2.4%
223274 1
 
2.4%
174123 1
 
2.4%
201247 1
 
2.4%
142697 1
 
2.4%
193048 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85208 1
2.4%
104762 1
2.4%
117477 1
2.4%
127228 1
2.4%
131017 1
2.4%
137463 1
2.4%
139831 1
2.4%
142697 1
2.4%
146679 1
2.4%
154362 1
2.4%
ValueCountFrequency (%)
696176 1
2.4%
550757 1
2.4%
529115 1
2.4%
448166 1
2.4%
396860 1
2.4%
363133 1
2.4%
361780 1
2.4%
341861 1
2.4%
334368 1
2.4%
321899 1
2.4%

2015-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244678.22
Minimum85327
Maximum701154
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:47.321281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85327
5-th percentile117664
Q1164547
median194460
Q3274895
95-th percentile532493
Maximum701154
Range615827
Interquartile range (IQR)110348

Descriptive statistics

Standard deviation131661.41
Coefficient of variation (CV)0.53810026
Kurtosis2.9991166
Mean244678.22
Median Absolute Deviation (MAD)54566
Skewness1.6812745
Sum10031807
Variance1.7334728 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:47.519226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
236171 1
 
2.4%
214604 1
 
2.4%
195542 1
 
2.4%
194460 1
 
2.4%
185000 1
 
2.4%
224421 1
 
2.4%
174493 1
 
2.4%
203169 1
 
2.4%
143764 1
 
2.4%
193071 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
85327 1
2.4%
104723 1
2.4%
117664 1
2.4%
127640 1
2.4%
131219 1
2.4%
137547 1
2.4%
139894 1
2.4%
143764 1
2.4%
147369 1
2.4%
154875 1
2.4%
ValueCountFrequency (%)
701154 1
2.4%
552038 1
2.4%
532493 1
2.4%
450562 1
2.4%
398971 1
2.4%
364649 1
2.4%
363128 1
2.4%
342955 1
2.4%
335825 1
2.4%
323521 1
2.4%

2015-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean252662.56
Minimum91505
Maximum741529
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:48.112776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91505
5-th percentile125646
Q1174986
median205790
Q3287570
95-th percentile541981
Maximum741529
Range650024
Interquartile range (IQR)112584

Descriptive statistics

Standard deviation135172.26
Coefficient of variation (CV)0.53499123
Kurtosis3.7649394
Mean252662.56
Median Absolute Deviation (MAD)41494
Skewness1.8228806
Sum10359165
Variance1.8271539 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:48.275174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
242371 1
 
2.4%
233753 1
 
2.4%
192843 1
 
2.4%
198462 1
 
2.4%
187959 1
 
2.4%
232808 1
 
2.4%
175762 1
 
2.4%
226037 1
 
2.4%
168254 1
 
2.4%
208490 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
91505 1
2.4%
115160 1
2.4%
125646 1
2.4%
126536 1
2.4%
132996 1
2.4%
135931 1
2.4%
137263 1
2.4%
164296 1
2.4%
166150 1
2.4%
168254 1
2.4%
ValueCountFrequency (%)
741529 1
2.4%
577760 1
2.4%
541981 1
2.4%
458931 1
2.4%
386553 1
2.4%
372919 1
2.4%
371242 1
2.4%
346134 1
2.4%
342306 1
2.4%
328722 1
2.4%

2015-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253446.29
Minimum91608
Maximum745294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:48.461101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91608
5-th percentile125787
Q1175114
median206516
Q3288416
95-th percentile544214
Maximum745294
Range653686
Interquartile range (IQR)113302

Descriptive statistics

Standard deviation135737.54
Coefficient of variation (CV)0.53556727
Kurtosis3.7880772
Mean253446.29
Median Absolute Deviation (MAD)41740
Skewness1.8260141
Sum10391298
Variance1.8424679 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:48.662113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
243153 1
 
2.4%
234216 1
 
2.4%
193238 1
 
2.4%
198980 1
 
2.4%
188543 1
 
2.4%
233618 1
 
2.4%
175826 1
 
2.4%
227780 1
 
2.4%
168819 1
 
2.4%
208508 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
91608 1
2.4%
115317 1
2.4%
125787 1
2.4%
126934 1
2.4%
133085 1
2.4%
136250 1
2.4%
138430 1
2.4%
164776 1
2.4%
166537 1
2.4%
168819 1
2.4%
ValueCountFrequency (%)
745294 1
2.4%
578492 1
2.4%
544214 1
2.4%
460692 1
2.4%
387594 1
2.4%
374089 1
2.4%
372505 1
2.4%
347700 1
2.4%
343022 1
2.4%
329838 1
2.4%

2015-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean254335.78
Minimum91722
Maximum749361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:48.858755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91722
5-th percentile126041
Q1175409
median207321
Q3289355
95-th percentile546924
Maximum749361
Range657639
Interquartile range (IQR)113946

Descriptive statistics

Standard deviation136445.44
Coefficient of variation (CV)0.53647757
Kurtosis3.7990264
Mean254335.78
Median Absolute Deviation (MAD)42058
Skewness1.8266468
Sum10427767
Variance1.8617359 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:49.087492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
244032 1
 
2.4%
234874 1
 
2.4%
193556 1
 
2.4%
199668 1
 
2.4%
189243 1
 
2.4%
234707 1
 
2.4%
176022 1
 
2.4%
230033 1
 
2.4%
168665 1
 
2.4%
208411 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
91722 1
2.4%
115488 1
2.4%
126041 1
2.4%
127463 1
2.4%
133105 1
2.4%
136525 1
2.4%
138504 1
2.4%
165263 1
2.4%
167041 1
2.4%
168665 1
2.4%
ValueCountFrequency (%)
749361 1
2.4%
579618 1
2.4%
546924 1
2.4%
462804 1
2.4%
389248 1
2.4%
375462 1
2.4%
373985 1
2.4%
349437 1
2.4%
343991 1
2.4%
331150 1
2.4%

2015-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean255277.76
Minimum91879
Maximum753125
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:49.290030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91879
5-th percentile126331
Q1175609
median208251
Q3290323
95-th percentile549263
Maximum753125
Range661246
Interquartile range (IQR)114714

Descriptive statistics

Standard deviation137103.88
Coefficient of variation (CV)0.53707727
Kurtosis3.8023613
Mean255277.76
Median Absolute Deviation (MAD)42506
Skewness1.8250322
Sum10466388
Variance1.8797474 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:49.455312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
244938 1
 
2.4%
235658 1
 
2.4%
194006 1
 
2.4%
200608 1
 
2.4%
190152 1
 
2.4%
236316 1
 
2.4%
176229 1
 
2.4%
231681 1
 
2.4%
169318 1
 
2.4%
208586 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
91879 1
2.4%
115567 1
2.4%
126331 1
2.4%
127691 1
2.4%
133121 1
2.4%
136708 1
2.4%
138461 1
2.4%
165745 1
2.4%
167493 1
2.4%
169318 1
2.4%
ValueCountFrequency (%)
753125 1
2.4%
580793 1
2.4%
549263 1
2.4%
464839 1
2.4%
390477 1
2.4%
377104 1
2.4%
375698 1
2.4%
351468 1
2.4%
345123 1
2.4%
332525 1
2.4%

2015-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256058.66
Minimum92089
Maximum753944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:49.620598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92089
5-th percentile126704
Q1175844
median208802
Q3291213
95-th percentile550698
Maximum753944
Range661855
Interquartile range (IQR)115369

Descriptive statistics

Standard deviation137380.57
Coefficient of variation (CV)0.53651991
Kurtosis3.7631335
Mean256058.66
Median Absolute Deviation (MAD)42587
Skewness1.8164353
Sum10498405
Variance1.8873421 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:49.773218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
245676 1
 
2.4%
236389 1
 
2.4%
194574 1
 
2.4%
201561 1
 
2.4%
190915 1
 
2.4%
237873 1
 
2.4%
176794 1
 
2.4%
232849 1
 
2.4%
170151 1
 
2.4%
208802 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92089 1
2.4%
115698 1
2.4%
126704 1
2.4%
127800 1
2.4%
133167 1
2.4%
136925 1
2.4%
138350 1
2.4%
166215 1
2.4%
168056 1
2.4%
170151 1
2.4%
ValueCountFrequency (%)
753944 1
2.4%
581852 1
2.4%
550698 1
2.4%
466236 1
2.4%
392391 1
2.4%
378160 1
2.4%
377056 1
2.4%
353023 1
2.4%
346102 1
2.4%
333558 1
2.4%

2015-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256581.9
Minimum92318
Maximum755964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:49.930274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92318
5-th percentile126890
Q1176034
median208718
Q3291535
95-th percentile552488
Maximum755964
Range663646
Interquartile range (IQR)115501

Descriptive statistics

Standard deviation137748.3
Coefficient of variation (CV)0.53685898
Kurtosis3.7658556
Mean256581.9
Median Absolute Deviation (MAD)42277
Skewness1.8167262
Sum10519858
Variance1.8974594 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:50.076307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246134 1
 
2.4%
236793 1
 
2.4%
194929 1
 
2.4%
202023 1
 
2.4%
191399 1
 
2.4%
238551 1
 
2.4%
176965 1
 
2.4%
232861 1
 
2.4%
170599 1
 
2.4%
208718 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92318 1
2.4%
115798 1
2.4%
126890 1
2.4%
127775 1
2.4%
133031 1
2.4%
137123 1
2.4%
138209 1
2.4%
166441 1
2.4%
168043 1
2.4%
170599 1
2.4%
ValueCountFrequency (%)
755964 1
2.4%
582450 1
2.4%
552488 1
2.4%
467519 1
2.4%
394001 1
2.4%
378681 1
2.4%
377804 1
2.4%
353902 1
2.4%
346578 1
2.4%
334275 1
2.4%

2016-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256723.24
Minimum92479
Maximum755169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:50.231932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92479
5-th percentile127006
Q1176021
median208582
Q3291720
95-th percentile552395
Maximum755169
Range662690
Interquartile range (IQR)115699

Descriptive statistics

Standard deviation137654.09
Coefficient of variation (CV)0.53619644
Kurtosis3.7470161
Mean256723.24
Median Absolute Deviation (MAD)42415
Skewness1.8130636
Sum10525653
Variance1.8948648 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:50.400414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246194 1
 
2.4%
237199 1
 
2.4%
194972 1
 
2.4%
202135 1
 
2.4%
191513 1
 
2.4%
238742 1
 
2.4%
176979 1
 
2.4%
232525 1
 
2.4%
170597 1
 
2.4%
208582 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92479 1
2.4%
115819 1
2.4%
127006 1
2.4%
127687 1
2.4%
132850 1
2.4%
137262 1
2.4%
138123 1
2.4%
166520 1
2.4%
168088 1
2.4%
170597 1
2.4%
ValueCountFrequency (%)
755169 1
2.4%
582701 1
2.4%
552395 1
2.4%
467557 1
2.4%
394455 1
2.4%
378765 1
2.4%
377981 1
2.4%
354017 1
2.4%
346882 1
2.4%
334314 1
2.4%

2016-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256695.02
Minimum92513
Maximum752604
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:50.574495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92513
5-th percentile127081
Q1176046
median208550
Q3291754
95-th percentile551301
Maximum752604
Range660091
Interquartile range (IQR)115708

Descriptive statistics

Standard deviation137335.36
Coefficient of variation (CV)0.5350137
Kurtosis3.7024904
Mean256695.02
Median Absolute Deviation (MAD)42493
Skewness1.8044599
Sum10524496
Variance1.8861 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:50.743914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246114 1
 
2.4%
237623 1
 
2.4%
194930 1
 
2.4%
202286 1
 
2.4%
191769 1
 
2.4%
238838 1
 
2.4%
177021 1
 
2.4%
232102 1
 
2.4%
170691 1
 
2.4%
208550 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92513 1
2.4%
115786 1
2.4%
127081 1
2.4%
127548 1
2.4%
132607 1
2.4%
137287 1
2.4%
138043 1
2.4%
166543 1
2.4%
168054 1
2.4%
170691 1
2.4%
ValueCountFrequency (%)
752604 1
2.4%
582910 1
2.4%
551301 1
2.4%
467048 1
2.4%
394507 1
2.4%
378751 1
2.4%
378088 1
2.4%
354076 1
2.4%
347068 1
2.4%
334119 1
2.4%

2016-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256718.88
Minimum92551
Maximum752273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:50.935560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92551
5-th percentile127201
Q1176029
median208640
Q3291769
95-th percentile551146
Maximum752273
Range659722
Interquartile range (IQR)115740

Descriptive statistics

Standard deviation137297.1
Coefficient of variation (CV)0.53481499
Kurtosis3.6958009
Mean256718.88
Median Absolute Deviation (MAD)42461
Skewness1.802984
Sum10525474
Variance1.8850495 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:51.110348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246098 1
 
2.4%
237822 1
 
2.4%
195105 1
 
2.4%
202483 1
 
2.4%
191975 1
 
2.4%
239149 1
 
2.4%
177068 1
 
2.4%
231600 1
 
2.4%
170729 1
 
2.4%
208640 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92551 1
2.4%
115784 1
2.4%
127201 1
2.4%
127428 1
2.4%
132389 1
2.4%
137259 1
2.4%
137862 1
2.4%
166527 1
2.4%
168038 1
2.4%
170729 1
2.4%
ValueCountFrequency (%)
752273 1
2.4%
583034 1
2.4%
551146 1
2.4%
467019 1
2.4%
394489 1
2.4%
378652 1
2.4%
378193 1
2.4%
354144 1
2.4%
347261 1
2.4%
334103 1
2.4%

2016-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean256839.32
Minimum92620
Maximum753362
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:51.262146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92620
5-th percentile127207
Q1176036
median208628
Q3291711
95-th percentile551756
Maximum753362
Range660742
Interquartile range (IQR)115675

Descriptive statistics

Standard deviation137470.65
Coefficient of variation (CV)0.53523991
Kurtosis3.7079483
Mean256839.32
Median Absolute Deviation (MAD)42596
Skewness1.8053398
Sum10530412
Variance1.8898181 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:51.403919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246162 1
 
2.4%
238074 1
 
2.4%
195150 1
 
2.4%
202752 1
 
2.4%
192225 1
 
2.4%
239545 1
 
2.4%
177219 1
 
2.4%
231135 1
 
2.4%
170891 1
 
2.4%
208628 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92620 1
2.4%
115809 1
2.4%
127207 1
2.4%
127357 1
2.4%
132148 1
2.4%
137208 1
2.4%
137700 1
2.4%
166514 1
2.4%
168272 1
2.4%
170891 1
2.4%
ValueCountFrequency (%)
753362 1
2.4%
583391 1
2.4%
551756 1
2.4%
467431 1
2.4%
394725 1
2.4%
378715 1
2.4%
378397 1
2.4%
354315 1
2.4%
347481 1
2.4%
334252 1
2.4%

2016-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257052.02
Minimum92761
Maximum755699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:51.552044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92761
5-th percentile126961
Q1175918
median208677
Q3291665
95-th percentile553043
Maximum755699
Range662938
Interquartile range (IQR)115747

Descriptive statistics

Standard deviation137847.07
Coefficient of variation (CV)0.53626138
Kurtosis3.7331502
Mean257052.02
Median Absolute Deviation (MAD)42573
Skewness1.8102296
Sum10539133
Variance1.9001815 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:51.716204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246318 1
 
2.4%
238274 1
 
2.4%
195225 1
 
2.4%
202981 1
 
2.4%
192427 1
 
2.4%
239831 1
 
2.4%
177426 1
 
2.4%
230874 1
 
2.4%
170900 1
 
2.4%
208677 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92761 1
2.4%
115794 1
2.4%
126961 1
2.4%
127476 1
2.4%
131890 1
2.4%
137110 1
2.4%
137590 1
2.4%
166479 1
2.4%
168548 1
2.4%
170900 1
2.4%
ValueCountFrequency (%)
755699 1
2.4%
583950 1
2.4%
553043 1
2.4%
468251 1
2.4%
395194 1
2.4%
378919 1
2.4%
378723 1
2.4%
354521 1
2.4%
348012 1
2.4%
334619 1
2.4%

2016-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257214.68
Minimum92963
Maximum757211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:51.898350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92963
5-th percentile127004
Q1175727
median208511
Q3291570
95-th percentile554039
Maximum757211
Range664248
Interquartile range (IQR)115843

Descriptive statistics

Standard deviation138119.9
Coefficient of variation (CV)0.53698294
Kurtosis3.7514921
Mean257214.68
Median Absolute Deviation (MAD)42780
Skewness1.8145104
Sum10545802
Variance1.9077106 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:52.080801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246414 1
 
2.4%
238570 1
 
2.4%
195411 1
 
2.4%
203250 1
 
2.4%
192435 1
 
2.4%
240543 1
 
2.4%
177616 1
 
2.4%
230053 1
 
2.4%
170838 1
 
2.4%
208511 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92963 1
2.4%
115810 1
2.4%
127004 1
2.4%
127583 1
2.4%
131769 1
2.4%
137059 1
2.4%
137220 1
2.4%
166417 1
2.4%
168909 1
2.4%
170838 1
2.4%
ValueCountFrequency (%)
757211 1
2.4%
585077 1
2.4%
554039 1
2.4%
468738 1
2.4%
395789 1
2.4%
378981 1
2.4%
378672 1
2.4%
354259 1
2.4%
347972 1
2.4%
334890 1
2.4%

2016-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257481.29
Minimum93298
Maximum760170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:52.256149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93298
5-th percentile126696
Q1175596
median208620
Q3291628
95-th percentile555790
Maximum760170
Range666872
Interquartile range (IQR)116032

Descriptive statistics

Standard deviation138669.37
Coefficient of variation (CV)0.53856096
Kurtosis3.7728948
Mean257481.29
Median Absolute Deviation (MAD)42889
Skewness1.8185884
Sum10556733
Variance1.9229195 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:52.434865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
246615 1
 
2.4%
237925 1
 
2.4%
195379 1
 
2.4%
203797 1
 
2.4%
192915 1
 
2.4%
241470 1
 
2.4%
177826 1
 
2.4%
229849 1
 
2.4%
170642 1
 
2.4%
208620 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
93298 1
2.4%
115858 1
2.4%
126696 1
2.4%
127812 1
2.4%
132109 1
2.4%
134941 1
2.4%
136863 1
2.4%
166332 1
2.4%
168829 1
2.4%
170642 1
2.4%
ValueCountFrequency (%)
760170 1
2.4%
585925 1
2.4%
555790 1
2.4%
469910 1
2.4%
396600 1
2.4%
379449 1
2.4%
379232 1
2.4%
354721 1
2.4%
348659 1
2.4%
335408 1
2.4%

2016-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean257990.93
Minimum92908
Maximum763241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:52.609836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92908
5-th percentile126385
Q1175436
median208813
Q3291648
95-th percentile558121
Maximum763241
Range670333
Interquartile range (IQR)116212

Descriptive statistics

Standard deviation139343.89
Coefficient of variation (CV)0.54011161
Kurtosis3.7723089
Mean257990.93
Median Absolute Deviation (MAD)42814
Skewness1.8184637
Sum10577628
Variance1.9416721 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:52.789477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
247023 1
 
2.4%
237800 1
 
2.4%
195667 1
 
2.4%
204832 1
 
2.4%
194270 1
 
2.4%
242755 1
 
2.4%
178030 1
 
2.4%
229375 1
 
2.4%
170556 1
 
2.4%
208813 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
92908 1
2.4%
115857 1
2.4%
126385 1
2.4%
127979 1
2.4%
131842 1
2.4%
134714 1
2.4%
136693 1
2.4%
166343 1
2.4%
169022 1
2.4%
170556 1
2.4%
ValueCountFrequency (%)
763241 1
2.4%
587142 1
2.4%
558121 1
2.4%
471740 1
2.4%
398354 1
2.4%
380535 1
2.4%
380274 1
2.4%
356015 1
2.4%
350025 1
2.4%
336255 1
2.4%

2016-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259596.88
Minimum94071
Maximum754336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:52.986537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94071
5-th percentile126359
Q1176060
median212073
Q3294502
95-th percentile550227
Maximum754336
Range660265
Interquartile range (IQR)118442

Descriptive statistics

Standard deviation137062.8
Coefficient of variation (CV)0.52798323
Kurtosis3.6945533
Mean259596.88
Median Absolute Deviation (MAD)43747
Skewness1.783645
Sum10643472
Variance1.8786211 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:53.172728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
247169 1
 
2.4%
239525 1
 
2.4%
197354 1
 
2.4%
206720 1
 
2.4%
196086 1
 
2.4%
244266 1
 
2.4%
179979 1
 
2.4%
231913 1
 
2.4%
170641 1
 
2.4%
212073 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
94071 1
2.4%
115811 1
2.4%
126359 1
2.4%
127405 1
2.4%
131737 1
2.4%
135861 1
2.4%
138434 1
2.4%
168326 1
2.4%
168600 1
2.4%
170641 1
2.4%
ValueCountFrequency (%)
754336 1
2.4%
586892 1
2.4%
550227 1
2.4%
466414 1
2.4%
397509 1
2.4%
383590 1
2.4%
378525 1
2.4%
353373 1
2.4%
350095 1
2.4%
334448 1
2.4%

2016-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260352.07
Minimum94218
Maximum761288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:53.350307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94218
5-th percentile126209
Q1175889
median212348
Q3294650
95-th percentile553843
Maximum761288
Range667070
Interquartile range (IQR)118761

Descriptive statistics

Standard deviation138058.23
Coefficient of variation (CV)0.53027514
Kurtosis3.7794481
Mean260352.07
Median Absolute Deviation (MAD)43814
Skewness1.7988775
Sum10674435
Variance1.9060075 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:53.535048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
247791 1
 
2.4%
239807 1
 
2.4%
197616 1
 
2.4%
208091 1
 
2.4%
197222 1
 
2.4%
246193 1
 
2.4%
181086 1
 
2.4%
231812 1
 
2.4%
170721 1
 
2.4%
212193 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
94218 1
2.4%
116045 1
2.4%
126209 1
2.4%
127683 1
2.4%
131586 1
2.4%
135705 1
2.4%
138418 1
2.4%
168534 1
2.4%
168929 1
2.4%
170721 1
2.4%
ValueCountFrequency (%)
761288 1
2.4%
588183 1
2.4%
553843 1
2.4%
468829 1
2.4%
398629 1
2.4%
382939 1
2.4%
379681 1
2.4%
354668 1
2.4%
350832 1
2.4%
335527 1
2.4%

2016-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260996.85
Minimum94356
Maximum763788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:53.727978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94356
5-th percentile126020
Q1175665
median213014
Q3294925
95-th percentile556048
Maximum763788
Range669432
Interquartile range (IQR)119260

Descriptive statistics

Standard deviation138588.52
Coefficient of variation (CV)0.53099691
Kurtosis3.7733391
Mean260996.85
Median Absolute Deviation (MAD)44498
Skewness1.7970431
Sum10700871
Variance1.9206779 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:54.271347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
248318 1
 
2.4%
239790 1
 
2.4%
197888 1
 
2.4%
209619 1
 
2.4%
198592 1
 
2.4%
248246 1
 
2.4%
182254 1
 
2.4%
231735 1
 
2.4%
170819 1
 
2.4%
212486 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
94356 1
2.4%
116102 1
2.4%
126020 1
2.4%
127953 1
2.4%
131357 1
2.4%
135672 1
2.4%
138368 1
2.4%
168516 1
2.4%
168748 1
2.4%
170819 1
2.4%
ValueCountFrequency (%)
763788 1
2.4%
589335 1
2.4%
556048 1
2.4%
470507 1
2.4%
400613 1
2.4%
383269 1
2.4%
380807 1
2.4%
355861 1
2.4%
351772 1
2.4%
336402 1
2.4%

2016-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261206.85
Minimum94537
Maximum762571
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:54.421410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94537
5-th percentile125863
Q1175390
median213401
Q3294975
95-th percentile555913
Maximum762571
Range668034
Interquartile range (IQR)119585

Descriptive statistics

Standard deviation138514.44
Coefficient of variation (CV)0.5302864
Kurtosis3.7357751
Mean261206.85
Median Absolute Deviation (MAD)44785
Skewness1.7898181
Sum10709481
Variance1.9186251 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:54.559971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
248452 1
 
2.4%
239690 1
 
2.4%
198010 1
 
2.4%
210541 1
 
2.4%
199464 1
 
2.4%
249281 1
 
2.4%
183123 1
 
2.4%
231638 1
 
2.4%
170962 1
 
2.4%
212777 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
94537 1
2.4%
116197 1
2.4%
125863 1
2.4%
128149 1
2.4%
131255 1
2.4%
135604 1
2.4%
138330 1
2.4%
168616 1
2.4%
168875 1
2.4%
170962 1
2.4%
ValueCountFrequency (%)
762571 1
2.4%
590052 1
2.4%
555913 1
2.4%
470686 1
2.4%
401288 1
2.4%
383393 1
2.4%
381315 1
2.4%
356295 1
2.4%
352380 1
2.4%
336544 1
2.4%

2017-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261261.68
Minimum94659
Maximum761285
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:54.737727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94659
5-th percentile125741
Q1175226
median213576
Q3295034
95-th percentile555547
Maximum761285
Range666626
Interquartile range (IQR)119808

Descriptive statistics

Standard deviation138405.1
Coefficient of variation (CV)0.5297566
Kurtosis3.706534
Mean261261.68
Median Absolute Deviation (MAD)45018
Skewness1.7844454
Sum10711729
Variance1.9155972 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:54.894454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
248457 1
 
2.4%
239548 1
 
2.4%
197956 1
 
2.4%
211028 1
 
2.4%
199950 1
 
2.4%
249693 1
 
2.4%
183704 1
 
2.4%
231501 1
 
2.4%
171084 1
 
2.4%
212955 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
94659 1
2.4%
116229 1
2.4%
125741 1
2.4%
128303 1
2.4%
131084 1
2.4%
135492 1
2.4%
138284 1
2.4%
168558 1
2.4%
168918 1
2.4%
171084 1
2.4%
ValueCountFrequency (%)
761285 1
2.4%
590564 1
2.4%
555547 1
2.4%
470606 1
2.4%
401609 1
2.4%
383385 1
2.4%
381535 1
2.4%
356369 1
2.4%
352844 1
2.4%
336507 1
2.4%

2017-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean261480.73
Minimum95000
Maximum762242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:55.034520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95000
5-th percentile125605
Q1175718
median213872
Q3295067
95-th percentile556111
Maximum762242
Range667242
Interquartile range (IQR)119349

Descriptive statistics

Standard deviation138514.16
Coefficient of variation (CV)0.52972991
Kurtosis3.7225695
Mean261480.73
Median Absolute Deviation (MAD)45331
Skewness1.788401
Sum10720710
Variance1.9186173 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:55.200546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
248640 1
 
2.4%
239489 1
 
2.4%
198044 1
 
2.4%
211460 1
 
2.4%
200269 1
 
2.4%
250056 1
 
2.4%
184406 1
 
2.4%
231403 1
 
2.4%
171136 1
 
2.4%
213166 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
95000 1
2.4%
116431 1
2.4%
125605 1
2.4%
128419 1
2.4%
130948 1
2.4%
136603 1
2.4%
138523 1
2.4%
168541 1
2.4%
169129 1
2.4%
171136 1
2.4%
ValueCountFrequency (%)
762242 1
2.4%
591290 1
2.4%
556111 1
2.4%
470974 1
2.4%
401879 1
2.4%
383446 1
2.4%
381696 1
2.4%
356360 1
2.4%
353190 1
2.4%
336659 1
2.4%

2017-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262077.27
Minimum95127
Maximum769870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:55.361181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95127
5-th percentile125494
Q1176142
median214618
Q3295181
95-th percentile559733
Maximum769870
Range674743
Interquartile range (IQR)119039

Descriptive statistics

Standard deviation139526.53
Coefficient of variation (CV)0.532387
Kurtosis3.8367605
Mean262077.27
Median Absolute Deviation (MAD)45762
Skewness1.809873
Sum10745168
Variance1.9467653 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:55.521707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
249156 1
 
2.4%
239445 1
 
2.4%
198142 1
 
2.4%
211782 1
 
2.4%
200542 1
 
2.4%
250315 1
 
2.4%
184885 1
 
2.4%
231749 1
 
2.4%
171475 1
 
2.4%
213325 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
95127 1
2.4%
116526 1
2.4%
125494 1
2.4%
128654 1
2.4%
130834 1
2.4%
136509 1
2.4%
138616 1
2.4%
168856 1
2.4%
169297 1
2.4%
171475 1
2.4%
ValueCountFrequency (%)
769870 1
2.4%
592465 1
2.4%
559733 1
2.4%
472967 1
2.4%
402505 1
2.4%
383709 1
2.4%
381981 1
2.4%
356394 1
2.4%
353726 1
2.4%
337561 1
2.4%

2017-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262503.71
Minimum95342
Maximum771747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:55.678817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95342
5-th percentile125360
Q1175989
median215251
Q3295332
95-th percentile561026
Maximum771747
Range676405
Interquartile range (IQR)119343

Descriptive statistics

Standard deviation139958.25
Coefficient of variation (CV)0.53316677
Kurtosis3.8323851
Mean262503.71
Median Absolute Deviation (MAD)46276
Skewness1.8097391
Sum10762652
Variance1.9588313 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:55.842682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
249475 1
 
2.4%
239269 1
 
2.4%
198258 1
 
2.4%
212399 1
 
2.4%
201110 1
 
2.4%
250906 1
 
2.4%
185614 1
 
2.4%
231697 1
 
2.4%
171570 1
 
2.4%
213492 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
95342 1
2.4%
116678 1
2.4%
125360 1
2.4%
128970 1
2.4%
130668 1
2.4%
136441 1
2.4%
138600 1
2.4%
168975 1
2.4%
169386 1
2.4%
171570 1
2.4%
ValueCountFrequency (%)
771747 1
2.4%
593990 1
2.4%
561026 1
2.4%
474155 1
2.4%
403361 1
2.4%
384067 1
2.4%
383059 1
2.4%
356921 1
2.4%
356030 1
2.4%
338135 1
2.4%

2017-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263097.46
Minimum95701
Maximum775058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:56.023894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95701
5-th percentile125312
Q1175742
median217254
Q3295433
95-th percentile563409
Maximum775058
Range679357
Interquartile range (IQR)119691

Descriptive statistics

Standard deviation140558.56
Coefficient of variation (CV)0.5342452
Kurtosis3.8549634
Mean263097.46
Median Absolute Deviation (MAD)47919
Skewness1.8151054
Sum10786996
Variance1.9756708 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:56.193229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
249959 1
 
2.4%
239207 1
 
2.4%
198388 1
 
2.4%
213297 1
 
2.4%
201921 1
 
2.4%
251918 1
 
2.4%
186522 1
 
2.4%
231573 1
 
2.4%
171763 1
 
2.4%
213707 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
95701 1
2.4%
117070 1
2.4%
125312 1
2.4%
129319 1
2.4%
130619 1
2.4%
136350 1
2.4%
138642 1
2.4%
169335 1
2.4%
169570 1
2.4%
171763 1
2.4%
ValueCountFrequency (%)
775058 1
2.4%
595853 1
2.4%
563409 1
2.4%
475812 1
2.4%
405049 1
2.4%
384512 1
2.4%
383956 1
2.4%
358146 1
2.4%
355642 1
2.4%
338950 1
2.4%

2017-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean264317.1
Minimum95873
Maximum785317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:56.372413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95873
5-th percentile125277
Q1175526
median222508
Q3295586
95-th percentile569523
Maximum785317
Range689444
Interquartile range (IQR)120060

Descriptive statistics

Standard deviation142257.68
Coefficient of variation (CV)0.53820839
Kurtosis3.9507754
Mean264317.1
Median Absolute Deviation (MAD)52715
Skewness1.8337411
Sum10837001
Variance2.0237248 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:56.569581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
250921 1
 
2.4%
238971 1
 
2.4%
198673 1
 
2.4%
214120 1
 
2.4%
202789 1
 
2.4%
252862 1
 
2.4%
187128 1
 
2.4%
231655 1
 
2.4%
171833 1
 
2.4%
213859 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
95873 1
2.4%
117239 1
2.4%
125277 1
2.4%
129560 1
2.4%
130452 1
2.4%
136249 1
2.4%
138678 1
2.4%
169772 1
2.4%
169793 1
2.4%
171833 1
2.4%
ValueCountFrequency (%)
785317 1
2.4%
598918 1
2.4%
569523 1
2.4%
479832 1
2.4%
408062 1
2.4%
385779 1
2.4%
385383 1
2.4%
359871 1
2.4%
357164 1
2.4%
340754 1
2.4%

2017-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean265049.85
Minimum96099
Maximum788060
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:56.784211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96099
5-th percentile125231
Q1175093
median224572
Q3295769
95-th percentile571670
Maximum788060
Range691961
Interquartile range (IQR)120676

Descriptive statistics

Standard deviation142937.65
Coefficient of variation (CV)0.53928589
Kurtosis3.9332168
Mean265049.85
Median Absolute Deviation (MAD)54167
Skewness1.8311633
Sum10867044
Variance2.0431171 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:56.974762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
251522 1
 
2.4%
238868 1
 
2.4%
198922 1
 
2.4%
214724 1
 
2.4%
203315 1
 
2.4%
253650 1
 
2.4%
187641 1
 
2.4%
231911 1
 
2.4%
172134 1
 
2.4%
214005 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
96099 1
2.4%
117417 1
2.4%
125231 1
2.4%
129785 1
2.4%
130642 1
2.4%
136132 1
2.4%
138689 1
2.4%
169930 1
2.4%
170251 1
2.4%
172134 1
2.4%
ValueCountFrequency (%)
788060 1
2.4%
601349 1
2.4%
571670 1
2.4%
481754 1
2.4%
409763 1
2.4%
387465 1
2.4%
386911 1
2.4%
361567 1
2.4%
358487 1
2.4%
341844 1
2.4%

2017-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266049.59
Minimum96480
Maximum792837
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:57.180987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96480
5-th percentile125165
Q1174606
median225877
Q3295891
95-th percentile575159
Maximum792837
Range696357
Interquartile range (IQR)121285

Descriptive statistics

Standard deviation143939.96
Coefficient of variation (CV)0.54102681
Kurtosis3.9326849
Mean266049.59
Median Absolute Deviation (MAD)54926
Skewness1.8314278
Sum10908033
Variance2.0718712 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:57.390527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
252429 1
 
2.4%
238771 1
 
2.4%
199612 1
 
2.4%
215247 1
 
2.4%
203897 1
 
2.4%
254238 1
 
2.4%
187989 1
 
2.4%
233580 1
 
2.4%
172414 1
 
2.4%
214674 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
96480 1
2.4%
117673 1
2.4%
125165 1
2.4%
130120 1
2.4%
130567 1
2.4%
136045 1
2.4%
138697 1
2.4%
170226 1
2.4%
170667 1
2.4%
172414 1
2.4%
ValueCountFrequency (%)
792837 1
2.4%
603979 1
2.4%
575159 1
2.4%
484233 1
2.4%
412289 1
2.4%
390377 1
2.4%
388886 1
2.4%
362849 1
2.4%
359725 1
2.4%
343428 1
2.4%

2017-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266421.59
Minimum96676
Maximum792425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:57.609291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96676
5-th percentile125119
Q1174389
median226080
Q3296346
95-th percentile575151
Maximum792425
Range695749
Interquartile range (IQR)121957

Descriptive statistics

Standard deviation143978.79
Coefficient of variation (CV)0.54041714
Kurtosis3.8987605
Mean266421.59
Median Absolute Deviation (MAD)54894
Skewness1.8244957
Sum10923285
Variance2.0729892 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:57.835779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
252787 1
 
2.4%
238927 1
 
2.4%
200163 1
 
2.4%
215496 1
 
2.4%
204124 1
 
2.4%
254551 1
 
2.4%
188200 1
 
2.4%
234720 1
 
2.4%
172691 1
 
2.4%
215116 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
96676 1
2.4%
117914 1
2.4%
125119 1
2.4%
130555 1
2.4%
130564 1
2.4%
135981 1
2.4%
138756 1
2.4%
170452 1
2.4%
170904 1
2.4%
172691 1
2.4%
ValueCountFrequency (%)
792425 1
2.4%
604870 1
2.4%
575151 1
2.4%
484488 1
2.4%
412583 1
2.4%
392707 1
2.4%
389415 1
2.4%
363270 1
2.4%
360374 1
2.4%
343932 1
2.4%

2017-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266938.71
Minimum96915
Maximum796004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:58.061304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96915
5-th percentile124968
Q1173867
median226218
Q3296539
95-th percentile577141
Maximum796004
Range699089
Interquartile range (IQR)122672

Descriptive statistics

Standard deviation144572.43
Coefficient of variation (CV)0.54159411
Kurtosis3.9264006
Mean266938.71
Median Absolute Deviation (MAD)55074
Skewness1.8298311
Sum10944487
Variance2.0901188 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:58.265893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
253259 1
 
2.4%
238871 1
 
2.4%
200631 1
 
2.4%
215586 1
 
2.4%
204226 1
 
2.4%
254601 1
 
2.4%
188318 1
 
2.4%
235578 1
 
2.4%
173046 1
 
2.4%
215609 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
96915 1
2.4%
118203 1
2.4%
124968 1
2.4%
130659 1
2.4%
130927 1
2.4%
135953 1
2.4%
138749 1
2.4%
170587 1
2.4%
171144 1
2.4%
173046 1
2.4%
ValueCountFrequency (%)
796004 1
2.4%
606065 1
2.4%
577141 1
2.4%
485858 1
2.4%
413384 1
2.4%
394325 1
2.4%
390137 1
2.4%
364043 1
2.4%
360749 1
2.4%
344777 1
2.4%

2017-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267586.8
Minimum97123
Maximum800716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:58.445153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97123
5-th percentile124791
Q1173245
median226362
Q3296637
95-th percentile580288
Maximum800716
Range703593
Interquartile range (IQR)123392

Descriptive statistics

Standard deviation145482.65
Coefficient of variation (CV)0.54368395
Kurtosis3.9473036
Mean267586.8
Median Absolute Deviation (MAD)54923
Skewness1.8347749
Sum10971059
Variance2.1165202 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:58.635813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
253839 1
 
2.4%
238538 1
 
2.4%
201017 1
 
2.4%
215647 1
 
2.4%
204252 1
 
2.4%
254774 1
 
2.4%
188303 1
 
2.4%
236521 1
 
2.4%
173245 1
 
2.4%
216290 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
97123 1
2.4%
118450 1
2.4%
124791 1
2.4%
130518 1
2.4%
131258 1
2.4%
136059 1
2.4%
138637 1
2.4%
170652 1
2.4%
171439 1
2.4%
173053 1
2.4%
ValueCountFrequency (%)
800716 1
2.4%
607766 1
2.4%
580288 1
2.4%
488047 1
2.4%
415360 1
2.4%
396018 1
2.4%
391320 1
2.4%
365151 1
2.4%
361898 1
2.4%
345928 1
2.4%

2017-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297249.51
Minimum106895
Maximum934350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:58.826767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum106895
5-th percentile137953
Q1188044
median254520
Q3304964
95-th percentile650091
Maximum934350
Range827455
Interquartile range (IQR)116920

Descriptive statistics

Standard deviation168674.88
Coefficient of variation (CV)0.56745217
Kurtosis4.5262614
Mean297249.51
Median Absolute Deviation (MAD)66476
Skewness1.9404565
Sum12187230
Variance2.8451215 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:59.011903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
278985 1
 
2.4%
254520 1
 
2.4%
214519 1
 
2.4%
249408 1
 
2.4%
230984 1
 
2.4%
304964 1
 
2.4%
215731 1
 
2.4%
259320 1
 
2.4%
204601 1
 
2.4%
221275 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
106895 1
2.4%
131275 1
2.4%
137953 1
2.4%
141469 1
2.4%
146641 1
2.4%
146953 1
2.4%
150804 1
2.4%
176833 1
2.4%
179604 1
2.4%
181339 1
2.4%
ValueCountFrequency (%)
934350 1
2.4%
692647 1
2.4%
650091 1
2.4%
549150 1
2.4%
443405 1
2.4%
441553 1
2.4%
438942 1
2.4%
437422 1
2.4%
402041 1
2.4%
379305 1
2.4%

2018-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean299099.46
Minimum107133
Maximum960392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:59.159193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107133
5-th percentile137882
Q1188062
median254052
Q3304715
95-th percentile663428
Maximum960392
Range853259
Interquartile range (IQR)116653

Descriptive statistics

Standard deviation172775.34
Coefficient of variation (CV)0.5776518
Kurtosis4.7997334
Mean299099.46
Median Absolute Deviation (MAD)65990
Skewness1.9916461
Sum12263078
Variance2.9851319 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:59.308376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
280615 1
 
2.4%
254052 1
 
2.4%
214537 1
 
2.4%
249255 1
 
2.4%
230928 1
 
2.4%
304715 1
 
2.4%
215532 1
 
2.4%
260398 1
 
2.4%
205065 1
 
2.4%
221684 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107133 1
2.4%
131036 1
2.4%
137882 1
2.4%
141495 1
2.4%
146396 1
2.4%
146898 1
2.4%
150645 1
2.4%
177079 1
2.4%
179609 1
2.4%
180795 1
2.4%
ValueCountFrequency (%)
960392 1
2.4%
697797 1
2.4%
663428 1
2.4%
557233 1
2.4%
445982 1
2.4%
445278 1
2.4%
441253 1
2.4%
441148 1
2.4%
404321 1
2.4%
382713 1
2.4%

2018-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean301166.71
Minimum107446
Maximum981937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:59.503327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107446
5-th percentile137723
Q1188104
median253674
Q3304336
95-th percentile674953
Maximum981937
Range874491
Interquartile range (IQR)116232

Descriptive statistics

Standard deviation176788.65
Coefficient of variation (CV)0.58701259
Kurtosis4.938384
Mean301166.71
Median Absolute Deviation (MAD)65570
Skewness2.021393
Sum12347835
Variance3.1254226 × 1010
MonotonicityNot monotonic
2023-12-12T13:42:59.718485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
282377 1
 
2.4%
253674 1
 
2.4%
214765 1
 
2.4%
249043 1
 
2.4%
230818 1
 
2.4%
304336 1
 
2.4%
215344 1
 
2.4%
261257 1
 
2.4%
205489 1
 
2.4%
222247 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107446 1
2.4%
130920 1
2.4%
137723 1
2.4%
141560 1
2.4%
146155 1
2.4%
146948 1
2.4%
150558 1
2.4%
177324 1
2.4%
179662 1
2.4%
180410 1
2.4%
ValueCountFrequency (%)
981937 1
2.4%
707622 1
2.4%
674953 1
2.4%
565125 1
2.4%
452362 1
2.4%
450070 1
2.4%
446074 1
2.4%
445282 1
2.4%
407081 1
2.4%
386373 1
2.4%

2018-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302314.24
Minimum107608
Maximum988723
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:42:59.936931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107608
5-th percentile137592
Q1188164
median253363
Q3303914
95-th percentile679205
Maximum988723
Range881115
Interquartile range (IQR)115750

Descriptive statistics

Standard deviation178486.71
Coefficient of variation (CV)0.59040127
Kurtosis4.911485
Mean302314.24
Median Absolute Deviation (MAD)65199
Skewness2.019642
Sum12394884
Variance3.1857507 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:00.549547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
283340 1
 
2.4%
253363 1
 
2.4%
214916 1
 
2.4%
248812 1
 
2.4%
230679 1
 
2.4%
303914 1
 
2.4%
215182 1
 
2.4%
262315 1
 
2.4%
206057 1
 
2.4%
222613 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107608 1
2.4%
130828 1
2.4%
137592 1
2.4%
141576 1
2.4%
146068 1
2.4%
147044 1
2.4%
150469 1
2.4%
177687 1
2.4%
179741 1
2.4%
179996 1
2.4%
ValueCountFrequency (%)
988723 1
2.4%
713868 1
2.4%
679205 1
2.4%
568881 1
2.4%
456634 1
2.4%
453305 1
2.4%
450158 1
2.4%
447638 1
2.4%
409456 1
2.4%
388331 1
2.4%

2018-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302865.37
Minimum107791
Maximum989239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:00.749201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107791
5-th percentile137429
Q1188108
median252652
Q3303419
95-th percentile680739
Maximum989239
Range881448
Interquartile range (IQR)115311

Descriptive statistics

Standard deviation179088.01
Coefficient of variation (CV)0.5913123
Kurtosis4.8352344
Mean302865.37
Median Absolute Deviation (MAD)64544
Skewness2.0076117
Sum12417480
Variance3.2072517 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:00.967834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
283813 1
 
2.4%
252652 1
 
2.4%
214944 1
 
2.4%
248454 1
 
2.4%
230309 1
 
2.4%
303419 1
 
2.4%
215001 1
 
2.4%
263822 1
 
2.4%
206661 1
 
2.4%
222894 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107791 1
2.4%
130679 1
2.4%
137429 1
2.4%
141576 1
2.4%
145888 1
2.4%
146886 1
2.4%
150182 1
2.4%
177905 1
2.4%
178972 1
2.4%
179805 1
2.4%
ValueCountFrequency (%)
989239 1
2.4%
716899 1
2.4%
680739 1
2.4%
570502 1
2.4%
459373 1
2.4%
455018 1
2.4%
452681 1
2.4%
449933 1
2.4%
410618 1
2.4%
389389 1
2.4%

2018-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303173.37
Minimum107809
Maximum987439
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:01.172130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107809
5-th percentile137276
Q1188008
median251478
Q3304289
95-th percentile680980
Maximum987439
Range879630
Interquartile range (IQR)116281

Descriptive statistics

Standard deviation179336.25
Coefficient of variation (CV)0.59153035
Kurtosis4.7401275
Mean303173.37
Median Absolute Deviation (MAD)63470
Skewness1.9923762
Sum12430108
Variance3.216149 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:01.378541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
284036 1
 
2.4%
251478 1
 
2.4%
214918 1
 
2.4%
248172 1
 
2.4%
230130 1
 
2.4%
303031 1
 
2.4%
214676 1
 
2.4%
265126 1
 
2.4%
207189 1
 
2.4%
223030 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107809 1
2.4%
130557 1
2.4%
137276 1
2.4%
141444 1
2.4%
145590 1
2.4%
146711 1
2.4%
149892 1
2.4%
178100 1
2.4%
178253 1
2.4%
179852 1
2.4%
ValueCountFrequency (%)
987439 1
2.4%
719704 1
2.4%
680980 1
2.4%
571430 1
2.4%
460828 1
2.4%
456666 1
2.4%
455159 1
2.4%
451700 1
2.4%
411734 1
2.4%
389969 1
2.4%

2018-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303474
Minimum107938
Maximum985145
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:01.582819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum107938
5-th percentile137190
Q1187878
median250791
Q3305123
95-th percentile680885
Maximum985145
Range877207
Interquartile range (IQR)117245

Descriptive statistics

Standard deviation179597.24
Coefficient of variation (CV)0.59180437
Kurtosis4.6349562
Mean303474
Median Absolute Deviation (MAD)62913
Skewness1.976318
Sum12442434
Variance3.2255169 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:01.794710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
284224 1
 
2.4%
250791 1
 
2.4%
214892 1
 
2.4%
247713 1
 
2.4%
229761 1
 
2.4%
302323 1
 
2.4%
214353 1
 
2.4%
265720 1
 
2.4%
207690 1
 
2.4%
223204 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
107938 1
2.4%
130457 1
2.4%
137190 1
2.4%
141391 1
2.4%
145355 1
2.4%
146358 1
2.4%
149667 1
2.4%
177358 1
2.4%
178802 1
2.4%
179734 1
2.4%
ValueCountFrequency (%)
985145 1
2.4%
723624 1
2.4%
680885 1
2.4%
572400 1
2.4%
461631 1
2.4%
458751 1
2.4%
458460 1
2.4%
453252 1
2.4%
413016 1
2.4%
390508 1
2.4%

2018-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303831.17
Minimum108128
Maximum983588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:02.032213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108128
5-th percentile136949
Q1187767
median249480
Q3305983
95-th percentile681511
Maximum983588
Range875460
Interquartile range (IQR)118216

Descriptive statistics

Standard deviation180008.12
Coefficient of variation (CV)0.59246101
Kurtosis4.5357948
Mean303831.17
Median Absolute Deviation (MAD)61713
Skewness1.9614737
Sum12457078
Variance3.2402924 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:02.236841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
284483 1
 
2.4%
249480 1
 
2.4%
214744 1
 
2.4%
247288 1
 
2.4%
229414 1
 
2.4%
301923 1
 
2.4%
213774 1
 
2.4%
266461 1
 
2.4%
208638 1
 
2.4%
223397 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
108128 1
2.4%
130324 1
2.4%
136949 1
2.4%
141347 1
2.4%
145152 1
2.4%
146017 1
2.4%
149441 1
2.4%
176730 1
2.4%
178972 1
2.4%
179771 1
2.4%
ValueCountFrequency (%)
983588 1
2.4%
727615 1
2.4%
681511 1
2.4%
573870 1
2.4%
462230 1
2.4%
461106 1
2.4%
460775 1
2.4%
455510 1
2.4%
415104 1
2.4%
391173 1
2.4%

2018-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean304854.37
Minimum108299
Maximum990966
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:02.455799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108299
5-th percentile136725
Q1187574
median247904
Q3306839
95-th percentile686865
Maximum990966
Range882667
Interquartile range (IQR)119265

Descriptive statistics

Standard deviation182020.77
Coefficient of variation (CV)0.59707451
Kurtosis4.5123364
Mean304854.37
Median Absolute Deviation (MAD)60330
Skewness1.9624988
Sum12499029
Variance3.3131561 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:02.666894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
285268 1
 
2.4%
247904 1
 
2.4%
214305 1
 
2.4%
246676 1
 
2.4%
229088 1
 
2.4%
301143 1
 
2.4%
212889 1
 
2.4%
267192 1
 
2.4%
209648 1
 
2.4%
223996 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
108299 1
2.4%
130020 1
2.4%
136725 1
2.4%
141393 1
2.4%
144841 1
2.4%
145714 1
2.4%
149110 1
2.4%
175689 1
2.4%
179387 1
2.4%
179844 1
2.4%
ValueCountFrequency (%)
990966 1
2.4%
735704 1
2.4%
686865 1
2.4%
578331 1
2.4%
465374 1
2.4%
464632 1
2.4%
463450 1
2.4%
459349 1
2.4%
417413 1
2.4%
393037 1
2.4%

2018-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307291.1
Minimum108600
Maximum1011074
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:02.840914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108600
5-th percentile136689
Q1187673
median246927
Q3309585
95-th percentile699453
Maximum1011074
Range902474
Interquartile range (IQR)121912

Descriptive statistics

Standard deviation186019.65
Coefficient of variation (CV)0.60535321
Kurtosis4.5781073
Mean307291.1
Median Absolute Deviation (MAD)62658
Skewness1.9772155
Sum12598935
Variance3.4603311 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:03.030567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
287487 1
 
2.4%
246927 1
 
2.4%
214285 1
 
2.4%
246420 1
 
2.4%
228902 1
 
2.4%
300957 1
 
2.4%
212438 1
 
2.4%
268490 1
 
2.4%
211906 1
 
2.4%
224712 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
108600 1
2.4%
129780 1
2.4%
136689 1
2.4%
141582 1
2.4%
144581 1
2.4%
145562 1
2.4%
148926 1
2.4%
174842 1
2.4%
179847 1
2.4%
179876 1
2.4%
ValueCountFrequency (%)
1011074 1
2.4%
744102 1
2.4%
699453 1
2.4%
587393 1
2.4%
470447 1
2.4%
470226 1
2.4%
470000 1
2.4%
466311 1
2.4%
422373 1
2.4%
397595 1
2.4%

2018-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308589.78
Minimum108990
Maximum1017026
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:03.206048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum108990
5-th percentile136464
Q1187893
median246241
Q3312511
95-th percentile703261
Maximum1017026
Range908036
Interquartile range (IQR)124618

Descriptive statistics

Standard deviation187496.85
Coefficient of variation (CV)0.60759255
Kurtosis4.5506549
Mean308589.78
Median Absolute Deviation (MAD)65999
Skewness1.9726982
Sum12652181
Variance3.515507 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:03.376009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
288695 1
 
2.4%
245568 1
 
2.4%
214678 1
 
2.4%
246241 1
 
2.4%
228745 1
 
2.4%
300761 1
 
2.4%
212244 1
 
2.4%
270674 1
 
2.4%
213727 1
 
2.4%
226843 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
108990 1
2.4%
129553 1
2.4%
136464 1
2.4%
141746 1
2.4%
144314 1
2.4%
145307 1
2.4%
148712 1
2.4%
174127 1
2.4%
180006 1
2.4%
180242 1
2.4%
ValueCountFrequency (%)
1017026 1
2.4%
749692 1
2.4%
703261 1
2.4%
590915 1
2.4%
473473 1
2.4%
473362 1
2.4%
473222 1
2.4%
468516 1
2.4%
425264 1
2.4%
399894 1
2.4%

2018-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309194.39
Minimum109471
Maximum1015975
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:03.540385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109471
5-th percentile136451
Q1188136
median245877
Q3314522
95-th percentile703241
Maximum1015975
Range906504
Interquartile range (IQR)126386

Descriptive statistics

Standard deviation187687.89
Coefficient of variation (CV)0.60702232
Kurtosis4.4864537
Mean309194.39
Median Absolute Deviation (MAD)65481
Skewness1.9611035
Sum12676970
Variance3.5226746 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:03.708040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
289306 1
 
2.4%
243873 1
 
2.4%
215330 1
 
2.4%
245877 1
 
2.4%
228680 1
 
2.4%
299989 1
 
2.4%
211863 1
 
2.4%
273058 1
 
2.4%
214932 1
 
2.4%
229216 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
109471 1
2.4%
129479 1
2.4%
136451 1
2.4%
141904 1
2.4%
144175 1
2.4%
145183 1
2.4%
148615 1
2.4%
173555 1
2.4%
180113 1
2.4%
180396 1
2.4%
ValueCountFrequency (%)
1015975 1
2.4%
753025 1
2.4%
703241 1
2.4%
591704 1
2.4%
474858 1
2.4%
474514 1
2.4%
474462 1
2.4%
469267 1
2.4%
426843 1
2.4%
400909 1
2.4%

2018-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean309358.9
Minimum109840
Maximum1013618
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:03.917082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum109840
5-th percentile136328
Q1188215
median245567
Q3315574
95-th percentile702301
Maximum1013618
Range903778
Interquartile range (IQR)127359

Descriptive statistics

Standard deviation187583.33
Coefficient of variation (CV)0.60636152
Kurtosis4.4327559
Mean309358.9
Median Absolute Deviation (MAD)64842
Skewness1.9519275
Sum12683715
Variance3.5187507 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:04.130564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
289448 1
 
2.4%
242211 1
 
2.4%
216005 1
 
2.4%
245357 1
 
2.4%
228251 1
 
2.4%
299220 1
 
2.4%
211481 1
 
2.4%
274983 1
 
2.4%
215847 1
 
2.4%
231027 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
109840 1
2.4%
129265 1
2.4%
136328 1
2.4%
142162 1
2.4%
143842 1
2.4%
144819 1
2.4%
148434 1
2.4%
172821 1
2.4%
180338 1
2.4%
180725 1
2.4%
ValueCountFrequency (%)
1013618 1
2.4%
755313 1
2.4%
702301 1
2.4%
591674 1
2.4%
475781 1
2.4%
475247 1
2.4%
474250 1
2.4%
469387 1
2.4%
427606 1
2.4%
401122 1
2.4%

2019-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330419.37
Minimum119597
Maximum1073544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:04.305785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119597
5-th percentile144487
Q1197026
median254148
Q3332651
95-th percentile757329
Maximum1073544
Range953947
Interquartile range (IQR)135625

Descriptive statistics

Standard deviation206257.4
Coefficient of variation (CV)0.62422916
Kurtosis3.712791
Mean330419.37
Median Absolute Deviation (MAD)74806
Skewness1.8524187
Sum13547194
Variance4.2542117 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:04.464930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
307279 1
 
2.4%
245484 1
 
2.4%
225902 1
 
2.4%
248214 1
 
2.4%
235015 1
 
2.4%
297671 1
 
2.4%
212790 1
 
2.4%
285211 1
 
2.4%
235378 1
 
2.4%
244046 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
119597 1
2.4%
133179 1
2.4%
144487 1
2.4%
148572 1
2.4%
149426 1
2.4%
152946 1
2.4%
156872 1
2.4%
178544 1
2.4%
179097 1
2.4%
187077 1
2.4%
ValueCountFrequency (%)
1073544 1
2.4%
839282 1
2.4%
757329 1
2.4%
648286 1
2.4%
533192 1
2.4%
530370 1
2.4%
517925 1
2.4%
515209 1
2.4%
481041 1
2.4%
428615 1
2.4%

2019-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329831.1
Minimum119756
Maximum1066283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:04.659259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119756
5-th percentile144459
Q1196888
median254074
Q3332291
95-th percentile753796
Maximum1066283
Range946527
Interquartile range (IQR)135403

Descriptive statistics

Standard deviation205229.35
Coefficient of variation (CV)0.62222558
Kurtosis3.6536752
Mean329831.1
Median Absolute Deviation (MAD)74798
Skewness1.8416247
Sum13523075
Variance4.2119085 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:04.859519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
306725 1
 
2.4%
244677 1
 
2.4%
225764 1
 
2.4%
247892 1
 
2.4%
234862 1
 
2.4%
297056 1
 
2.4%
212529 1
 
2.4%
285366 1
 
2.4%
235692 1
 
2.4%
244423 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
119756 1
2.4%
132953 1
2.4%
144459 1
2.4%
148267 1
2.4%
149226 1
2.4%
152819 1
2.4%
156690 1
2.4%
178126 1
2.4%
179143 1
2.4%
187157 1
2.4%
ValueCountFrequency (%)
1066283 1
2.4%
838492 1
2.4%
753796 1
2.4%
646174 1
2.4%
532581 1
2.4%
529693 1
2.4%
517214 1
2.4%
513316 1
2.4%
480487 1
2.4%
427603 1
2.4%

2019-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329211.9
Minimum119904
Maximum1060341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:05.051730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum119904
5-th percentile144299
Q1196678
median253949
Q3331849
95-th percentile750593
Maximum1060341
Range940437
Interquartile range (IQR)135171

Descriptive statistics

Standard deviation204378.13
Coefficient of variation (CV)0.62081028
Kurtosis3.6112403
Mean329211.9
Median Absolute Deviation (MAD)73943
Skewness1.8339787
Sum13497688
Variance4.1770422 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:05.223268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
306155 1
 
2.4%
243955 1
 
2.4%
225866 1
 
2.4%
247486 1
 
2.4%
234657 1
 
2.4%
296570 1
 
2.4%
211890 1
 
2.4%
285606 1
 
2.4%
235909 1
 
2.4%
244547 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
119904 1
2.4%
132753 1
2.4%
144299 1
2.4%
147929 1
2.4%
148926 1
2.4%
152457 1
2.4%
156439 1
2.4%
177662 1
2.4%
179113 1
2.4%
187118 1
2.4%
ValueCountFrequency (%)
1060341 1
2.4%
837925 1
2.4%
750593 1
2.4%
644226 1
2.4%
531956 1
2.4%
529181 1
2.4%
516085 1
2.4%
511460 1
2.4%
479807 1
2.4%
426638 1
2.4%

2019-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328506.93
Minimum120061
Maximum1056845
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:05.396649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120061
5-th percentile144084
Q1196388
median253712
Q3330941
95-th percentile748604
Maximum1056845
Range936784
Interquartile range (IQR)134553

Descriptive statistics

Standard deviation203868.7
Coefficient of variation (CV)0.62059179
Kurtosis3.597575
Mean328506.93
Median Absolute Deviation (MAD)72202
Skewness1.8325542
Sum13468784
Variance4.1562448 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:05.566691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
305480 1
 
2.4%
243087 1
 
2.4%
225881 1
 
2.4%
246941 1
 
2.4%
234476 1
 
2.4%
295787 1
 
2.4%
211029 1
 
2.4%
285682 1
 
2.4%
235952 1
 
2.4%
244806 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120061 1
2.4%
132434 1
2.4%
144084 1
2.4%
147424 1
2.4%
148699 1
2.4%
152272 1
2.4%
156149 1
2.4%
177101 1
2.4%
179017 1
2.4%
186219 1
2.4%
ValueCountFrequency (%)
1056845 1
2.4%
837302 1
2.4%
748604 1
2.4%
642954 1
2.4%
531441 1
2.4%
528819 1
2.4%
515237 1
2.4%
508573 1
2.4%
479250 1
2.4%
425539 1
2.4%

2019-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328100.66
Minimum120176
Maximum1055388
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:05.765441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120176
5-th percentile143977
Q1196153
median253616
Q3330554
95-th percentile747635
Maximum1055388
Range935212
Interquartile range (IQR)134401

Descriptive statistics

Standard deviation203676.49
Coefficient of variation (CV)0.62077439
Kurtosis3.5952923
Mean328100.66
Median Absolute Deviation (MAD)71553
Skewness1.8326397
Sum13452127
Variance4.1484111 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:05.975807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
305053 1
 
2.4%
242489 1
 
2.4%
225905 1
 
2.4%
246482 1
 
2.4%
234341 1
 
2.4%
294999 1
 
2.4%
210423 1
 
2.4%
285841 1
 
2.4%
235820 1
 
2.4%
245661 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120176 1
2.4%
132162 1
2.4%
143977 1
2.4%
146965 1
2.4%
148191 1
2.4%
151852 1
2.4%
155831 1
2.4%
176595 1
2.4%
178942 1
2.4%
186106 1
2.4%
ValueCountFrequency (%)
1055388 1
2.4%
837305 1
2.4%
747635 1
2.4%
642329 1
2.4%
531178 1
2.4%
528820 1
2.4%
514637 1
2.4%
506488 1
2.4%
478838 1
2.4%
424902 1
2.4%

2019-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327903.2
Minimum120296
Maximum1055825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:06.160969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120296
5-th percentile143843
Q1195962
median253555
Q3330307
95-th percentile747494
Maximum1055825
Range935529
Interquartile range (IQR)134345

Descriptive statistics

Standard deviation203778.62
Coefficient of variation (CV)0.62145968
Kurtosis3.6044302
Mean327903.2
Median Absolute Deviation (MAD)71222
Skewness1.8348882
Sum13444031
Variance4.1525724 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:06.336864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
304869 1
 
2.4%
241996 1
 
2.4%
226048 1
 
2.4%
245972 1
 
2.4%
234081 1
 
2.4%
294401 1
 
2.4%
209607 1
 
2.4%
286040 1
 
2.4%
235659 1
 
2.4%
246777 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120296 1
2.4%
131921 1
2.4%
143843 1
2.4%
146438 1
2.4%
148044 1
2.4%
151578 1
2.4%
155583 1
2.4%
176190 1
2.4%
178921 1
2.4%
186102 1
2.4%
ValueCountFrequency (%)
1055825 1
2.4%
837742 1
2.4%
747494 1
2.4%
642302 1
2.4%
531274 1
2.4%
529343 1
2.4%
514059 1
2.4%
505516 1
2.4%
478705 1
2.4%
424724 1
2.4%

2019-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327995.15
Minimum120542
Maximum1058355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:06.531940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120542
5-th percentile143699
Q1195765
median253510
Q3330830
95-th percentile749006
Maximum1058355
Range937813
Interquartile range (IQR)135065

Descriptive statistics

Standard deviation204257.57
Coefficient of variation (CV)0.6227457
Kurtosis3.6141417
Mean327995.15
Median Absolute Deviation (MAD)71376
Skewness1.8371962
Sum13447801
Variance4.1721154 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:07.099151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
304980 1
 
2.4%
241671 1
 
2.4%
226047 1
 
2.4%
245553 1
 
2.4%
233700 1
 
2.4%
293938 1
 
2.4%
209176 1
 
2.4%
286168 1
 
2.4%
235456 1
 
2.4%
247794 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120542 1
2.4%
132036 1
2.4%
143699 1
2.4%
146048 1
2.4%
147956 1
2.4%
151324 1
2.4%
155300 1
2.4%
175466 1
2.4%
179110 1
2.4%
185941 1
2.4%
ValueCountFrequency (%)
1058355 1
2.4%
837736 1
2.4%
749006 1
2.4%
643380 1
2.4%
531894 1
2.4%
530801 1
2.4%
514799 1
2.4%
505674 1
2.4%
479102 1
2.4%
425175 1
2.4%

2019-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328297.07
Minimum120722
Maximum1061116
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:07.281007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120722
5-th percentile143556
Q1195628
median253653
Q3331829
95-th percentile750633
Maximum1061116
Range940394
Interquartile range (IQR)136201

Descriptive statistics

Standard deviation204902.08
Coefficient of variation (CV)0.62413618
Kurtosis3.6150503
Mean328297.07
Median Absolute Deviation (MAD)72133
Skewness1.8374962
Sum13460180
Variance4.1984863 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:07.461079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
305248 1
 
2.4%
241363 1
 
2.4%
225870 1
 
2.4%
245226 1
 
2.4%
233316 1
 
2.4%
293695 1
 
2.4%
208849 1
 
2.4%
286138 1
 
2.4%
235417 1
 
2.4%
249979 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120722 1
2.4%
131849 1
2.4%
143556 1
2.4%
145633 1
2.4%
147805 1
2.4%
150899 1
2.4%
154986 1
2.4%
174828 1
2.4%
179167 1
2.4%
185845 1
2.4%
ValueCountFrequency (%)
1061116 1
2.4%
839290 1
2.4%
750633 1
2.4%
644713 1
2.4%
532915 1
2.4%
531842 1
2.4%
515569 1
2.4%
506978 1
2.4%
480024 1
2.4%
425888 1
2.4%

2019-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean328844.54
Minimum120860
Maximum1064266
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:07.650524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum120860
5-th percentile143322
Q1195592
median253951
Q3333075
95-th percentile752868
Maximum1064266
Range943406
Interquartile range (IQR)137483

Descriptive statistics

Standard deviation205667.62
Coefficient of variation (CV)0.62542507
Kurtosis3.6091657
Mean328844.54
Median Absolute Deviation (MAD)72493
Skewness1.8363106
Sum13482626
Variance4.2299169 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:07.823288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
305797 1
 
2.4%
240872 1
 
2.4%
226445 1
 
2.4%
244992 1
 
2.4%
233209 1
 
2.4%
293298 1
 
2.4%
208594 1
 
2.4%
286317 1
 
2.4%
235488 1
 
2.4%
252724 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
120860 1
2.4%
131720 1
2.4%
143322 1
2.4%
145351 1
2.4%
147758 1
2.4%
150514 1
2.4%
154726 1
2.4%
174328 1
2.4%
179253 1
2.4%
185888 1
2.4%
ValueCountFrequency (%)
1064266 1
2.4%
841379 1
2.4%
752868 1
2.4%
646418 1
2.4%
534062 1
2.4%
532412 1
2.4%
517110 1
2.4%
509777 1
2.4%
481235 1
2.4%
427081 1
2.4%

2019-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329966.05
Minimum121027
Maximum1073248
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:08.009561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121027
5-th percentile143215
Q1195709
median256388
Q3334495
95-th percentile758164
Maximum1073248
Range952221
Interquartile range (IQR)138786

Descriptive statistics

Standard deviation207410.3
Coefficient of variation (CV)0.62858072
Kurtosis3.6388842
Mean329966.05
Median Absolute Deviation (MAD)70947
Skewness1.8423331
Sum13528608
Variance4.3019032 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:08.178318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
306826 1
 
2.4%
241148 1
 
2.4%
226920 1
 
2.4%
244788 1
 
2.4%
233211 1
 
2.4%
292906 1
 
2.4%
208272 1
 
2.4%
286853 1
 
2.4%
235564 1
 
2.4%
256388 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
121027 1
2.4%
131613 1
2.4%
143215 1
2.4%
145013 1
2.4%
147828 1
2.4%
150362 1
2.4%
154518 1
2.4%
173924 1
2.4%
179492 1
2.4%
185986 1
2.4%
ValueCountFrequency (%)
1073248 1
2.4%
845272 1
2.4%
758164 1
2.4%
650238 1
2.4%
536323 1
2.4%
535277 1
2.4%
519616 1
2.4%
513403 1
2.4%
482973 1
2.4%
429114 1
2.4%

2019-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331417.71
Minimum121203
Maximum1083054
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:08.355840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121203
5-th percentile143070
Q1196055
median260419
Q3336936
95-th percentile764227
Maximum1083054
Range961851
Interquartile range (IQR)140881

Descriptive statistics

Standard deviation209259.59
Coefficient of variation (CV)0.6314074
Kurtosis3.6688772
Mean331417.71
Median Absolute Deviation (MAD)74326
Skewness1.8474771
Sum13588126
Variance4.3789577 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:08.510550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
308186 1
 
2.4%
241837 1
 
2.4%
227494 1
 
2.4%
245263 1
 
2.4%
233580 1
 
2.4%
294019 1
 
2.4%
208187 1
 
2.4%
287529 1
 
2.4%
235820 1
 
2.4%
260419 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
121203 1
2.4%
131479 1
2.4%
143070 1
2.4%
145022 1
2.4%
148016 1
2.4%
150247 1
2.4%
154422 1
2.4%
173839 1
2.4%
179755 1
2.4%
186093 1
2.4%
ValueCountFrequency (%)
1083054 1
2.4%
849340 1
2.4%
764227 1
2.4%
654481 1
2.4%
538646 1
2.4%
537766 1
2.4%
522844 1
2.4%
517745 1
2.4%
484926 1
2.4%
431589 1
2.4%

2019-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean334191.51
Minimum121399
Maximum1108069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:08.665766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum121399
5-th percentile143105
Q1196776
median264073
Q3339483
95-th percentile778038
Maximum1108069
Range986670
Interquartile range (IQR)142707

Descriptive statistics

Standard deviation213130.39
Coefficient of variation (CV)0.63774928
Kurtosis3.8268901
Mean334191.51
Median Absolute Deviation (MAD)75410
Skewness1.8736915
Sum13701852
Variance4.5424565 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:08.849535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
310734 1
 
2.4%
242980 1
 
2.4%
228603 1
 
2.4%
247379 1
 
2.4%
235131 1
 
2.4%
298682 1
 
2.4%
208290 1
 
2.4%
288470 1
 
2.4%
236054 1
 
2.4%
264073 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
121399 1
2.4%
131360 1
2.4%
143105 1
2.4%
145119 1
2.4%
148451 1
2.4%
150091 1
2.4%
154475 1
2.4%
174132 1
2.4%
179920 1
2.4%
186383 1
2.4%
ValueCountFrequency (%)
1108069 1
2.4%
853903 1
2.4%
778038 1
2.4%
662952 1
2.4%
541480 1
2.4%
540720 1
2.4%
528173 1
2.4%
524638 1
2.4%
487412 1
2.4%
436148 1
2.4%

2020-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346624.24
Minimum122209
Maximum1162166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:09.009796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122209
5-th percentile144491
Q1200888
median276790
Q3359998
95-th percentile808371
Maximum1162166
Range1039957
Interquartile range (IQR)159110

Descriptive statistics

Standard deviation223317.26
Coefficient of variation (CV)0.64426325
Kurtosis3.8650856
Mean346624.24
Median Absolute Deviation (MAD)83208
Skewness1.8667572
Sum14211594
Variance4.98706 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:09.178626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
320854 1
 
2.4%
247091 1
 
2.4%
242683 1
 
2.4%
255707 1
 
2.4%
245345 1
 
2.4%
305078 1
 
2.4%
215281 1
 
2.4%
296784 1
 
2.4%
238232 1
 
2.4%
276790 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122209 1
2.4%
132718 1
2.4%
144491 1
2.4%
147528 1
2.4%
149748 1
2.4%
151253 1
2.4%
156015 1
2.4%
175758 1
2.4%
185094 1
2.4%
193298 1
2.4%
ValueCountFrequency (%)
1162166 1
2.4%
882130 1
2.4%
808371 1
2.4%
688336 1
2.4%
573391 1
2.4%
561812 1
2.4%
552826 1
2.4%
541297 1
2.4%
501003 1
2.4%
451990 1
2.4%

2020-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean348036.02
Minimum122397
Maximum1161558
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:09.404146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122397
5-th percentile144748
Q1201555
median280491
Q3367836
95-th percentile808111
Maximum1161558
Range1039161
Interquartile range (IQR)166281

Descriptive statistics

Standard deviation223378.07
Coefficient of variation (CV)0.64182456
Kurtosis3.8048327
Mean348036.02
Median Absolute Deviation (MAD)86973
Skewness1.8503891
Sum14269477
Variance4.9897761 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:09.591475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
322306 1
 
2.4%
248460 1
 
2.4%
244339 1
 
2.4%
256140 1
 
2.4%
245876 1
 
2.4%
305587 1
 
2.4%
215467 1
 
2.4%
297575 1
 
2.4%
238511 1
 
2.4%
280491 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122397 1
2.4%
132826 1
2.4%
144748 1
2.4%
147602 1
2.4%
150102 1
2.4%
152011 1
2.4%
156269 1
2.4%
176142 1
2.4%
185656 1
2.4%
193518 1
2.4%
ValueCountFrequency (%)
1161558 1
2.4%
883977 1
2.4%
808111 1
2.4%
688898 1
2.4%
574868 1
2.4%
563241 1
2.4%
556094 1
2.4%
541301 1
2.4%
502339 1
2.4%
454301 1
2.4%

2020-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350076.73
Minimum122625
Maximum1158937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:09.763144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122625
5-th percentile145087
Q1202253
median285195
Q3386538
95-th percentile807501
Maximum1158937
Range1036312
Interquartile range (IQR)184285

Descriptive statistics

Standard deviation223298.34
Coefficient of variation (CV)0.63785543
Kurtosis3.6868687
Mean350076.73
Median Absolute Deviation (MAD)91381
Skewness1.8193029
Sum14353146
Variance4.9862151 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:09.911862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
324460 1
 
2.4%
249524 1
 
2.4%
251076 1
 
2.4%
256372 1
 
2.4%
246058 1
 
2.4%
305992 1
 
2.4%
215579 1
 
2.4%
297671 1
 
2.4%
238453 1
 
2.4%
285195 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122625 1
2.4%
132821 1
2.4%
145087 1
2.4%
147910 1
2.4%
150296 1
2.4%
152247 1
2.4%
156454 1
2.4%
176491 1
2.4%
185867 1
2.4%
193814 1
2.4%
ValueCountFrequency (%)
1158937 1
2.4%
885462 1
2.4%
807501 1
2.4%
689215 1
2.4%
575987 1
2.4%
564535 1
2.4%
562273 1
2.4%
542208 1
2.4%
503668 1
2.4%
458047 1
2.4%

2020-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean350875.95
Minimum122652
Maximum1151010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:10.109306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122652
5-th percentile145367
Q1202531
median288118
Q3393894
95-th percentile804456
Maximum1151010
Range1028358
Interquartile range (IQR)191363

Descriptive statistics

Standard deviation222514.96
Coefficient of variation (CV)0.63416987
Kurtosis3.5544504
Mean350875.95
Median Absolute Deviation (MAD)93522
Skewness1.7906165
Sum14385914
Variance4.9512906 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:10.277652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
325413 1
 
2.4%
250077 1
 
2.4%
254826 1
 
2.4%
256448 1
 
2.4%
245866 1
 
2.4%
306618 1
 
2.4%
215452 1
 
2.4%
296984 1
 
2.4%
238564 1
 
2.4%
288118 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122652 1
2.4%
132756 1
2.4%
145367 1
2.4%
148135 1
2.4%
150551 1
2.4%
152275 1
2.4%
156527 1
2.4%
176610 1
2.4%
185989 1
2.4%
194596 1
2.4%
ValueCountFrequency (%)
1151010 1
2.4%
886509 1
2.4%
804456 1
2.4%
688161 1
2.4%
575716 1
2.4%
566362 1
2.4%
565581 1
2.4%
542848 1
2.4%
505233 1
2.4%
459737 1
2.4%

2020-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean351087.88
Minimum122757
Maximum1144888
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:10.432148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122757
5-th percentile145608
Q1202695
median289216
Q3395270
95-th percentile801893
Maximum1144888
Range1022131
Interquartile range (IQR)192575

Descriptive statistics

Standard deviation221725.21
Coefficient of variation (CV)0.63153763
Kurtosis3.4788996
Mean351087.88
Median Absolute Deviation (MAD)94292
Skewness1.7745058
Sum14394603
Variance4.9162067 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:10.608239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
325780 1
 
2.4%
250456 1
 
2.4%
256922 1
 
2.4%
256603 1
 
2.4%
245907 1
 
2.4%
307099 1
 
2.4%
215415 1
 
2.4%
297027 1
 
2.4%
238740 1
 
2.4%
289216 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
122757 1
2.4%
132744 1
2.4%
145608 1
2.4%
148584 1
2.4%
150688 1
2.4%
152400 1
2.4%
156582 1
2.4%
176512 1
2.4%
186114 1
2.4%
194924 1
2.4%
ValueCountFrequency (%)
1144888 1
2.4%
886165 1
2.4%
801893 1
2.4%
686807 1
2.4%
575397 1
2.4%
568390 1
2.4%
565499 1
2.4%
542973 1
2.4%
505291 1
2.4%
460325 1
2.4%

2020-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean352650.68
Minimum123060
Maximum1146740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:10.807107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123060
5-th percentile145997
Q1203732
median296403
Q3404208
95-th percentile803280
Maximum1146740
Range1023680
Interquartile range (IQR)200476

Descriptive statistics

Standard deviation221941.43
Coefficient of variation (CV)0.62935204
Kurtosis3.4583844
Mean352650.68
Median Absolute Deviation (MAD)100369
Skewness1.7657467
Sum14458678
Variance4.9257997 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:11.022186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
327333 1
 
2.4%
251552 1
 
2.4%
259757 1
 
2.4%
257051 1
 
2.4%
246404 1
 
2.4%
307740 1
 
2.4%
215559 1
 
2.4%
297987 1
 
2.4%
238792 1
 
2.4%
296403 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
123060 1
2.4%
132926 1
2.4%
145997 1
2.4%
151041 1
2.4%
151370 1
2.4%
152765 1
2.4%
157124 1
2.4%
176905 1
2.4%
186358 1
2.4%
196034 1
2.4%
ValueCountFrequency (%)
1146740 1
2.4%
887388 1
2.4%
803280 1
2.4%
687922 1
2.4%
575955 1
2.4%
570127 1
2.4%
566329 1
2.4%
544008 1
2.4%
506159 1
2.4%
462442 1
2.4%

2020-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean356094.05
Minimum123393
Maximum1158425
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:11.227336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123393
5-th percentile146765
Q1205263
median298861
Q3428049
95-th percentile810795
Maximum1158425
Range1035032
Interquartile range (IQR)222786

Descriptive statistics

Standard deviation224187.63
Coefficient of variation (CV)0.62957422
Kurtosis3.4310473
Mean356094.05
Median Absolute Deviation (MAD)101735
Skewness1.7538103
Sum14599856
Variance5.0260096 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:11.423118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
330280 1
 
2.4%
253433 1
 
2.4%
261331 1
 
2.4%
259575 1
 
2.4%
248559 1
 
2.4%
312493 1
 
2.4%
216098 1
 
2.4%
298861 1
 
2.4%
238927 1
 
2.4%
299129 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
123393 1
2.4%
133455 1
2.4%
146765 1
2.4%
152375 1
2.4%
152934 1
2.4%
153345 1
2.4%
158030 1
2.4%
178105 1
2.4%
186717 1
2.4%
197126 1
2.4%
ValueCountFrequency (%)
1158425 1
2.4%
892084 1
2.4%
810795 1
2.4%
693996 1
2.4%
580619 1
2.4%
575024 1
2.4%
570884 1
2.4%
548376 1
2.4%
510646 1
2.4%
466938 1
2.4%

2020-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359052.61
Minimum123785
Maximum1162652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:11.590605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum123785
5-th percentile147310
Q1206897
median300435
Q3466470
95-th percentile814156
Maximum1162652
Range1038867
Interquartile range (IQR)259573

Descriptive statistics

Standard deviation225461.5
Coefficient of variation (CV)0.62793444
Kurtosis3.3278525
Mean359052.61
Median Absolute Deviation (MAD)101977
Skewness1.7261594
Sum14721157
Variance5.0832888 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:11.762890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
332498 1
 
2.4%
255406 1
 
2.4%
262029 1
 
2.4%
261823 1
 
2.4%
249536 1
 
2.4%
318035 1
 
2.4%
216590 1
 
2.4%
300741 1
 
2.4%
238952 1
 
2.4%
301402 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
123785 1
2.4%
134078 1
2.4%
147310 1
2.4%
152827 1
2.4%
154056 1
2.4%
154590 1
2.4%
158749 1
2.4%
178833 1
2.4%
187038 1
2.4%
198458 1
2.4%
ValueCountFrequency (%)
1162652 1
2.4%
895588 1
2.4%
814156 1
2.4%
697028 1
2.4%
583200 1
2.4%
579953 1
2.4%
573569 1
2.4%
551083 1
2.4%
513229 1
2.4%
469794 1
2.4%

2020-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361354.71
Minimum124091
Maximum1164483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:11.971250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124091
5-th percentile147871
Q1208488
median300277
Q3472033
95-th percentile816030
Maximum1164483
Range1040392
Interquartile range (IQR)263545

Descriptive statistics

Standard deviation226067.46
Coefficient of variation (CV)0.62561094
Kurtosis3.2543483
Mean361354.71
Median Absolute Deviation (MAD)100264
Skewness1.7059878
Sum14815543
Variance5.1106495 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:12.165822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
334399 1
 
2.4%
258310 1
 
2.4%
262696 1
 
2.4%
264694 1
 
2.4%
251838 1
 
2.4%
323688 1
 
2.4%
217159 1
 
2.4%
303528 1
 
2.4%
239101 1
 
2.4%
305621 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
124091 1
2.4%
134563 1
2.4%
147871 1
2.4%
153067 1
2.4%
154561 1
2.4%
155926 1
2.4%
159285 1
2.4%
179244 1
2.4%
187479 1
2.4%
200013 1
2.4%
ValueCountFrequency (%)
1164483 1
2.4%
898143 1
2.4%
816030 1
2.4%
698888 1
2.4%
585108 1
2.4%
583893 1
2.4%
575414 1
2.4%
552988 1
2.4%
514924 1
2.4%
485048 1
2.4%

2020-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean362791.37
Minimum124535
Maximum1165784
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:12.374608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum124535
5-th percentile148311
Q1209645
median299974
Q3473460
95-th percentile817146
Maximum1165784
Range1041249
Interquartile range (IQR)263815

Descriptive statistics

Standard deviation226328.36
Coefficient of variation (CV)0.62385265
Kurtosis3.2255435
Mean362791.37
Median Absolute Deviation (MAD)98805
Skewness1.6970796
Sum14874446
Variance5.1224525 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:12.595402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
335685 1
 
2.4%
261057 1
 
2.4%
263525 1
 
2.4%
266689 1
 
2.4%
253014 1
 
2.4%
328072 1
 
2.4%
217714 1
 
2.4%
306443 1
 
2.4%
239470 1
 
2.4%
308388 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
124535 1
2.4%
134940 1
2.4%
148311 1
2.4%
153312 1
2.4%
155115 1
2.4%
156747 1
2.4%
159691 1
2.4%
179521 1
2.4%
187826 1
2.4%
201169 1
2.4%
ValueCountFrequency (%)
1165784 1
2.4%
899793 1
2.4%
817146 1
2.4%
699982 1
2.4%
587042 1
2.4%
586572 1
2.4%
576484 1
2.4%
553966 1
2.4%
515737 1
2.4%
490528 1
2.4%

2020-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean365182.8
Minimum125062
Maximum1167027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:13.184140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125062
5-th percentile149096
Q1211786
median299809
Q3475749
95-th percentile818140
Maximum1167027
Range1041965
Interquartile range (IQR)263963

Descriptive statistics

Standard deviation226323.01
Coefficient of variation (CV)0.61975264
Kurtosis3.1932432
Mean365182.8
Median Absolute Deviation (MAD)99020
Skewness1.6831421
Sum14972495
Variance5.1222103 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:13.377819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
337897 1
 
2.4%
264586 1
 
2.4%
264866 1
 
2.4%
272194 1
 
2.4%
258191 1
 
2.4%
337397 1
 
2.4%
219324 1
 
2.4%
310941 1
 
2.4%
240377 1
 
2.4%
312405 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
125062 1
2.4%
135322 1
2.4%
149096 1
2.4%
153855 1
2.4%
155790 1
2.4%
157821 1
2.4%
160468 1
2.4%
180869 1
2.4%
188182 1
2.4%
202680 1
2.4%
ValueCountFrequency (%)
1167027 1
2.4%
901521 1
2.4%
818140 1
2.4%
701083 1
2.4%
591564 1
2.4%
587761 1
2.4%
577698 1
2.4%
554772 1
2.4%
516871 1
2.4%
495104 1
2.4%

2020-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368841.22
Minimum125580
Maximum1171080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:13.559311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125580
5-th percentile151362
Q1215405
median299845
Q3479017
95-th percentile820633
Maximum1171080
Range1045500
Interquartile range (IQR)263612

Descriptive statistics

Standard deviation226386.73
Coefficient of variation (CV)0.61377827
Kurtosis3.18881
Mean368841.22
Median Absolute Deviation (MAD)102624
Skewness1.6727525
Sum15122490
Variance5.125095 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:13.799635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
341347 1
 
2.4%
273088 1
 
2.4%
266703 1
 
2.4%
279478 1
 
2.4%
265071 1
 
2.4%
346162 1
 
2.4%
225543 1
 
2.4%
317056 1
 
2.4%
244206 1
 
2.4%
318374 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
125580 1
2.4%
136393 1
2.4%
151362 1
2.4%
155418 1
2.4%
156513 1
2.4%
159441 1
2.4%
162233 1
2.4%
184457 1
2.4%
188534 1
2.4%
204561 1
2.4%
ValueCountFrequency (%)
1171080 1
2.4%
904329 1
2.4%
820633 1
2.4%
703270 1
2.4%
597708 1
2.4%
589808 1
2.4%
579562 1
2.4%
556087 1
2.4%
518497 1
2.4%
499069 1
2.4%

2021-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean372086.51
Minimum125927
Maximum1178358
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:14.004120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum125927
5-th percentile151797
Q1217684
median300263
Q3483105
95-th percentile824876
Maximum1178358
Range1052431
Interquartile range (IQR)265421

Descriptive statistics

Standard deviation227270.77
Coefficient of variation (CV)0.61080088
Kurtosis3.1909669
Mean372086.51
Median Absolute Deviation (MAD)107300
Skewness1.6654746
Sum15255547
Variance5.1652003 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:14.199274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
344491 1
 
2.4%
278128 1
 
2.4%
269720 1
 
2.4%
284001 1
 
2.4%
269278 1
 
2.4%
351461 1
 
2.4%
229683 1
 
2.4%
321270 1
 
2.4%
245988 1
 
2.4%
322511 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
125927 1
2.4%
137743 1
2.4%
151797 1
2.4%
156317 1
2.4%
157371 1
2.4%
160833 1
2.4%
163344 1
2.4%
186235 1
2.4%
188879 1
2.4%
208335 1
2.4%
ValueCountFrequency (%)
1178358 1
2.4%
906995 1
2.4%
824876 1
2.4%
706492 1
2.4%
605658 1
2.4%
592265 1
2.4%
581708 1
2.4%
558039 1
2.4%
520429 1
2.4%
502059 1
2.4%

2021-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean375819.54
Minimum126155
Maximum1186649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:14.399082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126155
5-th percentile152104
Q1219644
median300791
Q3488843
95-th percentile830139
Maximum1186649
Range1060494
Interquartile range (IQR)269199

Descriptive statistics

Standard deviation228620.65
Coefficient of variation (CV)0.60832563
Kurtosis3.1650429
Mean375819.54
Median Absolute Deviation (MAD)113617
Skewness1.6521692
Sum15408601
Variance5.2267404 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:14.565755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
348256 1
 
2.4%
280608 1
 
2.4%
274193 1
 
2.4%
287574 1
 
2.4%
272973 1
 
2.4%
355619 1
 
2.4%
232376 1
 
2.4%
326315 1
 
2.4%
247110 1
 
2.4%
327231 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126155 1
2.4%
138884 1
2.4%
152104 1
2.4%
157461 1
2.4%
158439 1
2.4%
162113 1
2.4%
164238 1
2.4%
187174 1
2.4%
189573 1
2.4%
214518 1
2.4%
ValueCountFrequency (%)
1186649 1
2.4%
910766 1
2.4%
830139 1
2.4%
710849 1
2.4%
616049 1
2.4%
595738 1
2.4%
585110 1
2.4%
561015 1
2.4%
523738 1
2.4%
504250 1
2.4%

2021-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean378450.83
Minimum126186
Maximum1190195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:14.733160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126186
5-th percentile152483
Q1221150
median301225
Q3493065
95-th percentile833062
Maximum1190195
Range1064009
Interquartile range (IQR)271915

Descriptive statistics

Standard deviation229255.2
Coefficient of variation (CV)0.60577275
Kurtosis3.124323
Mean378450.83
Median Absolute Deviation (MAD)113359
Skewness1.6383429
Sum15516484
Variance5.2557947 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:14.914147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
351059 1
 
2.4%
282134 1
 
2.4%
279048 1
 
2.4%
289725 1
 
2.4%
274607 1
 
2.4%
358690 1
 
2.4%
234299 1
 
2.4%
330458 1
 
2.4%
248080 1
 
2.4%
331189 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126186 1
2.4%
139692 1
2.4%
152483 1
2.4%
158754 1
2.4%
159404 1
2.4%
163394 1
2.4%
165010 1
2.4%
187866 1
2.4%
190335 1
2.4%
218221 1
2.4%
ValueCountFrequency (%)
1190195 1
2.4%
913059 1
2.4%
833062 1
2.4%
713486 1
2.4%
623638 1
2.4%
597798 1
2.4%
587448 1
2.4%
563467 1
2.4%
526193 1
2.4%
505981 1
2.4%

2021-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380966.54
Minimum126482
Maximum1197046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:15.090812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126482
5-th percentile153016
Q1222522
median302003
Q3497292
95-th percentile837220
Maximum1197046
Range1070564
Interquartile range (IQR)274770

Descriptive statistics

Standard deviation230261.23
Coefficient of variation (CV)0.60441326
Kurtosis3.1269178
Mean380966.54
Median Absolute Deviation (MAD)113280
Skewness1.6342434
Sum15619628
Variance5.3020232 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:15.289359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
353795 1
 
2.4%
283311 1
 
2.4%
284367 1
 
2.4%
291540 1
 
2.4%
275837 1
 
2.4%
361364 1
 
2.4%
236071 1
 
2.4%
333214 1
 
2.4%
249353 1
 
2.4%
334704 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126482 1
2.4%
140387 1
2.4%
153016 1
2.4%
160161 1
2.4%
160219 1
2.4%
164907 1
2.4%
165894 1
2.4%
188723 1
2.4%
191086 1
2.4%
220314 1
2.4%
ValueCountFrequency (%)
1197046 1
2.4%
915467 1
2.4%
837220 1
2.4%
716584 1
2.4%
631305 1
2.4%
599484 1
2.4%
589426 1
2.4%
565594 1
2.4%
528211 1
2.4%
507423 1
2.4%

2021-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean383628.46
Minimum126870
Maximum1206027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:15.446404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126870
5-th percentile153551
Q1224047
median304462
Q3501404
95-th percentile842508
Maximum1206027
Range1079157
Interquartile range (IQR)277357

Descriptive statistics

Standard deviation231554.24
Coefficient of variation (CV)0.60358983
Kurtosis3.1504147
Mean383628.46
Median Absolute Deviation (MAD)114707
Skewness1.6348289
Sum15728767
Variance5.3617366 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:15.602139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
356556 1
 
2.4%
284396 1
 
2.4%
289487 1
 
2.4%
294359 1
 
2.4%
277573 1
 
2.4%
366291 1
 
2.4%
238202 1
 
2.4%
335919 1
 
2.4%
250751 1
 
2.4%
337829 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
126870 1
2.4%
141193 1
2.4%
153551 1
2.4%
161050 1
2.4%
161408 1
2.4%
166107 1
2.4%
166859 1
2.4%
189755 1
2.4%
191922 1
2.4%
222175 1
2.4%
ValueCountFrequency (%)
1206027 1
2.4%
918297 1
2.4%
842508 1
2.4%
720354 1
2.4%
640051 1
2.4%
601364 1
2.4%
591596 1
2.4%
568093 1
2.4%
530380 1
2.4%
507768 1
2.4%

2021-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean388153.12
Minimum127486
Maximum1223861
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:15.759909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127486
5-th percentile154640
Q1226920
median309430
Q3506505
95-th percentile852613
Maximum1223861
Range1096375
Interquartile range (IQR)279585

Descriptive statistics

Standard deviation234069.29
Coefficient of variation (CV)0.60303337
Kurtosis3.214658
Mean388153.12
Median Absolute Deviation (MAD)118442
Skewness1.6399487
Sum15914278
Variance5.478843 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:15.970526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
361192 1
 
2.4%
286456 1
 
2.4%
296879 1
 
2.4%
299384 1
 
2.4%
280460 1
 
2.4%
375104 1
 
2.4%
242306 1
 
2.4%
338684 1
 
2.4%
253542 1
 
2.4%
341342 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
127486 1
2.4%
142119 1
2.4%
154640 1
2.4%
162143 1
2.4%
163207 1
2.4%
167540 1
2.4%
168207 1
2.4%
190988 1
2.4%
193059 1
2.4%
226242 1
2.4%
ValueCountFrequency (%)
1223861 1
2.4%
922177 1
2.4%
852613 1
2.4%
727396 1
2.4%
653924 1
2.4%
605209 1
2.4%
595410 1
2.4%
572364 1
2.4%
534171 1
2.4%
508708 1
2.4%

2021-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean445929.2
Minimum134159
Maximum1391181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:16.153574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134159
5-th percentile150282
Q1255969
median347522
Q3600358
95-th percentile949013
Maximum1391181
Range1257022
Interquartile range (IQR)344389

Descriptive statistics

Standard deviation274187
Coefficient of variation (CV)0.61486668
Kurtosis2.257764
Mean445929.2
Median Absolute Deviation (MAD)147318
Skewness1.3994133
Sum18283097
Variance7.5178514 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:16.352594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
411499 1
 
2.4%
315748 1
 
2.4%
325826 1
 
2.4%
351788 1
 
2.4%
332837 1
 
2.4%
442327 1
 
2.4%
276951 1
 
2.4%
379064 1
 
2.4%
271027 1
 
2.4%
347522 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
134159 1
2.4%
149608 1
2.4%
150282 1
2.4%
159575 1
2.4%
178365 1
2.4%
188345 1
2.4%
193060 1
2.4%
208491 1
2.4%
222903 1
2.4%
249015 1
2.4%
ValueCountFrequency (%)
1391181 1
2.4%
990194 1
2.4%
949013 1
2.4%
853858 1
2.4%
797201 1
2.4%
722784 1
2.4%
695309 1
2.4%
680094 1
2.4%
678413 1
2.4%
665251 1
2.4%

2021-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450305.17
Minimum134602
Maximum1404174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:16.540790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134602
5-th percentile151436
Q1260373
median350867
Q3607849
95-th percentile954866
Maximum1404174
Range1269572
Interquartile range (IQR)347476

Descriptive statistics

Standard deviation276382.21
Coefficient of variation (CV)0.61376646
Kurtosis2.2678351
Mean450305.17
Median Absolute Deviation (MAD)152686
Skewness1.3958276
Sum18462512
Variance7.6387125 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:16.728200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
415945 1
 
2.4%
317831 1
 
2.4%
332035 1
 
2.4%
355901 1
 
2.4%
336064 1
 
2.4%
449099 1
 
2.4%
279534 1
 
2.4%
380039 1
 
2.4%
273399 1
 
2.4%
350867 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
134602 1
2.4%
150390 1
2.4%
151436 1
2.4%
160605 1
2.4%
179628 1
2.4%
189933 1
2.4%
194539 1
2.4%
209816 1
2.4%
225845 1
2.4%
250797 1
2.4%
ValueCountFrequency (%)
1404174 1
2.4%
997375 1
2.4%
954866 1
2.4%
859959 1
2.4%
811335 1
2.4%
727803 1
2.4%
698615 1
2.4%
685843 1
2.4%
676210 1
2.4%
668575 1
2.4%

2021-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean454374.63
Minimum135182
Maximum1421894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:16.908738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135182
5-th percentile152579
Q1263536
median353783
Q3614755
95-th percentile961477
Maximum1421894
Range1286712
Interquartile range (IQR)351219

Descriptive statistics

Standard deviation279228.14
Coefficient of variation (CV)0.61453285
Kurtosis2.3256102
Mean454374.63
Median Absolute Deviation (MAD)156805
Skewness1.4044007
Sum18629360
Variance7.7968352 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:17.112231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
419990 1
 
2.4%
319590 1
 
2.4%
337364 1
 
2.4%
358690 1
 
2.4%
336863 1
 
2.4%
455030 1
 
2.4%
281712 1
 
2.4%
380653 1
 
2.4%
275856 1
 
2.4%
353783 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
135182 1
2.4%
151042 1
2.4%
152579 1
2.4%
161712 1
2.4%
180931 1
2.4%
191618 1
2.4%
196077 1
2.4%
211647 1
2.4%
227374 1
2.4%
252378 1
2.4%
ValueCountFrequency (%)
1421894 1
2.4%
1007535 1
2.4%
961477 1
2.4%
867269 1
2.4%
821641 1
2.4%
732410 1
2.4%
703547 1
2.4%
689991 1
2.4%
675199 1
2.4%
672861 1
2.4%

2021-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458352.78
Minimum135770
Maximum1437475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:17.303093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135770
5-th percentile153756
Q1266369
median356650
Q3621039
95-th percentile970042
Maximum1437475
Range1301705
Interquartile range (IQR)354670

Descriptive statistics

Standard deviation281766.89
Coefficient of variation (CV)0.61473804
Kurtosis2.3707871
Mean458352.78
Median Absolute Deviation (MAD)158870
Skewness1.4113828
Sum18792464
Variance7.9392579 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:17.546551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
423864 1
 
2.4%
321106 1
 
2.4%
342838 1
 
2.4%
362242 1
 
2.4%
339448 1
 
2.4%
461044 1
 
2.4%
284083 1
 
2.4%
380811 1
 
2.4%
278657 1
 
2.4%
356650 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
135770 1
2.4%
151908 1
2.4%
153756 1
2.4%
163051 1
2.4%
182488 1
2.4%
193611 1
2.4%
197780 1
2.4%
214029 1
2.4%
228963 1
2.4%
254175 1
2.4%
ValueCountFrequency (%)
1437475 1
2.4%
1016533 1
2.4%
970042 1
2.4%
874121 1
2.4%
830270 1
2.4%
737250 1
2.4%
707980 1
2.4%
693463 1
2.4%
678510 1
2.4%
673620 1
2.4%

2021-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461001.76
Minimum136254
Maximum1449274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:17.815039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136254
5-th percentile154654
Q1267896
median358483
Q3625192
95-th percentile977202
Maximum1449274
Range1313020
Interquartile range (IQR)357296

Descriptive statistics

Standard deviation283576.62
Coefficient of variation (CV)0.61513133
Kurtosis2.4208987
Mean461001.76
Median Absolute Deviation (MAD)159406
Skewness1.4213313
Sum18901072
Variance8.0415701 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:17.967402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
426454 1
 
2.4%
322018 1
 
2.4%
346360 1
 
2.4%
364723 1
 
2.4%
341556 1
 
2.4%
464578 1
 
2.4%
285975 1
 
2.4%
380675 1
 
2.4%
280836 1
 
2.4%
358483 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136254 1
2.4%
152577 1
2.4%
154654 1
2.4%
164280 1
2.4%
183689 1
2.4%
194950 1
2.4%
199077 1
2.4%
216036 1
2.4%
230890 1
2.4%
255425 1
2.4%
ValueCountFrequency (%)
1449274 1
2.4%
1023365 1
2.4%
977202 1
2.4%
879357 1
2.4%
834754 1
2.4%
740989 1
2.4%
711356 1
2.4%
695868 1
2.4%
683144 1
2.4%
667932 1
2.4%

2021-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461817.9
Minimum136450
Maximum1455522
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:18.139752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136450
5-th percentile155140
Q1268278
median358692
Q3626986
95-th percentile979759
Maximum1455522
Range1319072
Interquartile range (IQR)358708

Descriptive statistics

Standard deviation284235.14
Coefficient of variation (CV)0.61547016
Kurtosis2.4787106
Mean461817.9
Median Absolute Deviation (MAD)158824
Skewness1.4339745
Sum18934534
Variance8.0789614 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:18.330397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
427501 1
 
2.4%
322302 1
 
2.4%
347909 1
 
2.4%
365494 1
 
2.4%
342151 1
 
2.4%
465952 1
 
2.4%
286384 1
 
2.4%
380268 1
 
2.4%
282372 1
 
2.4%
358692 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136450 1
2.4%
153017 1
2.4%
155140 1
2.4%
165025 1
2.4%
184344 1
2.4%
195459 1
2.4%
199868 1
2.4%
217185 1
2.4%
232419 1
2.4%
255829 1
2.4%
ValueCountFrequency (%)
1455522 1
2.4%
1026961 1
2.4%
979759 1
2.4%
881835 1
2.4%
836915 1
2.4%
742406 1
2.4%
713068 1
2.4%
696993 1
2.4%
684477 1
2.4%
652826 1
2.4%

2022-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461863.1
Minimum136604
Maximum1456823
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:18.496593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136604
5-th percentile155577
Q1268350
median358185
Q3627130
95-th percentile980038
Maximum1456823
Range1320219
Interquartile range (IQR)358780

Descriptive statistics

Standard deviation284215.14
Coefficient of variation (CV)0.61536663
Kurtosis2.5039021
Mean461863.1
Median Absolute Deviation (MAD)157993
Skewness1.4400479
Sum18936387
Variance8.0778244 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:18.662296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
427654 1
 
2.4%
322293 1
 
2.4%
348101 1
 
2.4%
365640 1
 
2.4%
342432 1
 
2.4%
465948 1
 
2.4%
286449 1
 
2.4%
379381 1
 
2.4%
283280 1
 
2.4%
358185 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136604 1
2.4%
153340 1
2.4%
155577 1
2.4%
165423 1
2.4%
184732 1
2.4%
195750 1
2.4%
200192 1
2.4%
217810 1
2.4%
233125 1
2.4%
255981 1
2.4%
ValueCountFrequency (%)
1456823 1
2.4%
1027894 1
2.4%
980038 1
2.4%
882277 1
2.4%
836475 1
2.4%
742430 1
2.4%
713696 1
2.4%
696990 1
2.4%
684452 1
2.4%
646664 1
2.4%

2022-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461651.73
Minimum136671
Maximum1456489
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:18.890134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136671
5-th percentile155791
Q1268306
median357634
Q3626828
95-th percentile979324
Maximum1456489
Range1319818
Interquartile range (IQR)358522

Descriptive statistics

Standard deviation283966.63
Coefficient of variation (CV)0.61511006
Kurtosis2.5182394
Mean461651.73
Median Absolute Deviation (MAD)157292
Skewness1.4437364
Sum18927721
Variance8.0637044 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:19.087626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
427531 1
 
2.4%
322414 1
 
2.4%
348038 1
 
2.4%
365657 1
 
2.4%
342404 1
 
2.4%
466021 1
 
2.4%
286472 1
 
2.4%
378149 1
 
2.4%
283821 1
 
2.4%
357634 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136671 1
2.4%
153473 1
2.4%
155791 1
2.4%
165809 1
2.4%
184974 1
2.4%
195892 1
2.4%
200342 1
2.4%
218396 1
2.4%
233889 1
2.4%
256001 1
2.4%
ValueCountFrequency (%)
1456489 1
2.4%
1027777 1
2.4%
979324 1
2.4%
882062 1
2.4%
835879 1
2.4%
742139 1
2.4%
713640 1
2.4%
696679 1
2.4%
684387 1
2.4%
642163 1
2.4%

2022-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461336.54
Minimum136714
Maximum1456909
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:19.292744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136714
5-th percentile156045
Q1268326
median356938
Q3626350
95-th percentile977671
Maximum1456909
Range1320195
Interquartile range (IQR)358024

Descriptive statistics

Standard deviation283782.16
Coefficient of variation (CV)0.61513046
Kurtosis2.5416294
Mean461336.54
Median Absolute Deviation (MAD)156591
Skewness1.4491851
Sum18914798
Variance8.0532313 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:19.855926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
427256 1
 
2.4%
322315 1
 
2.4%
347522 1
 
2.4%
365709 1
 
2.4%
342368 1
 
2.4%
466019 1
 
2.4%
286728 1
 
2.4%
376168 1
 
2.4%
284314 1
 
2.4%
356938 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136714 1
2.4%
153365 1
2.4%
156045 1
2.4%
166091 1
2.4%
185123 1
2.4%
195722 1
2.4%
200347 1
2.4%
218913 1
2.4%
234797 1
2.4%
255893 1
2.4%
ValueCountFrequency (%)
1456909 1
2.4%
1027819 1
2.4%
977671 1
2.4%
881860 1
2.4%
835276 1
2.4%
741699 1
2.4%
713451 1
2.4%
696425 1
2.4%
684268 1
2.4%
638168 1
2.4%

2022-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461339.71
Minimum136790
Maximum1459226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:20.091048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136790
5-th percentile156504
Q1268241
median356301
Q3626399
95-th percentile978838
Maximum1459226
Range1322436
Interquartile range (IQR)358158

Descriptive statistics

Standard deviation284044.65
Coefficient of variation (CV)0.61569521
Kurtosis2.5677095
Mean461339.71
Median Absolute Deviation (MAD)156140
Skewness1.4561146
Sum18914928
Variance8.0681362 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:20.286266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
427237 1
 
2.4%
321406 1
 
2.4%
347331 1
 
2.4%
365936 1
 
2.4%
342331 1
 
2.4%
466577 1
 
2.4%
286982 1
 
2.4%
374376 1
 
2.4%
284808 1
 
2.4%
356301 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136790 1
2.4%
153583 1
2.4%
156504 1
2.4%
166477 1
2.4%
185339 1
2.4%
195765 1
2.4%
200161 1
2.4%
219357 1
2.4%
235702 1
2.4%
255806 1
2.4%
ValueCountFrequency (%)
1459226 1
2.4%
1028966 1
2.4%
978838 1
2.4%
882567 1
2.4%
835196 1
2.4%
742018 1
2.4%
713776 1
2.4%
696585 1
2.4%
684491 1
2.4%
634328 1
2.4%

2022-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean461064.51
Minimum136982
Maximum1455387
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:20.499746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136982
5-th percentile157113
Q1267937
median355764
Q3625854
95-th percentile980256
Maximum1455387
Range1318405
Interquartile range (IQR)357917

Descriptive statistics

Standard deviation283618.52
Coefficient of variation (CV)0.61513846
Kurtosis2.5386745
Mean461064.51
Median Absolute Deviation (MAD)155870
Skewness1.4525496
Sum18903645
Variance8.0439463 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:20.690463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
426963 1
 
2.4%
321366 1
 
2.4%
346228 1
 
2.4%
366084 1
 
2.4%
342066 1
 
2.4%
467420 1
 
2.4%
287001 1
 
2.4%
372150 1
 
2.4%
285177 1
 
2.4%
355764 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136982 1
2.4%
153637 1
2.4%
157113 1
2.4%
166863 1
2.4%
185603 1
2.4%
195684 1
2.4%
199894 1
2.4%
219949 1
2.4%
236512 1
2.4%
255759 1
2.4%
ValueCountFrequency (%)
1455387 1
2.4%
1027682 1
2.4%
980256 1
2.4%
882164 1
2.4%
835210 1
2.4%
742446 1
2.4%
714056 1
2.4%
696922 1
2.4%
684586 1
2.4%
630693 1
2.4%

2022-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460691.76
Minimum136733
Maximum1455948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:20.899078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136733
5-th percentile157289
Q1268348
median355074
Q3625325
95-th percentile981039
Maximum1455948
Range1319215
Interquartile range (IQR)356977

Descriptive statistics

Standard deviation283614.68
Coefficient of variation (CV)0.61562786
Kurtosis2.5590634
Mean460691.76
Median Absolute Deviation (MAD)155991
Skewness1.4585272
Sum18888362
Variance8.0437288 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:21.086509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
426583 1
 
2.4%
320996 1
 
2.4%
345346 1
 
2.4%
365869 1
 
2.4%
341518 1
 
2.4%
467493 1
 
2.4%
287003 1
 
2.4%
370322 1
 
2.4%
285390 1
 
2.4%
355074 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136733 1
2.4%
153683 1
2.4%
157289 1
2.4%
167051 1
2.4%
185586 1
2.4%
195533 1
2.4%
199083 1
2.4%
220293 1
2.4%
237472 1
2.4%
255511 1
2.4%
ValueCountFrequency (%)
1455948 1
2.4%
1027949 1
2.4%
981039 1
2.4%
882106 1
2.4%
834946 1
2.4%
742070 1
2.4%
714121 1
2.4%
696906 1
2.4%
683090 1
2.4%
626332 1
2.4%

2022-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean460011.32
Minimum136709
Maximum1456008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:21.250140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136709
5-th percentile157624
Q1268008
median354077
Q3621809
95-th percentile980527
Maximum1456008
Range1319299
Interquartile range (IQR)353801

Descriptive statistics

Standard deviation283422.96
Coefficient of variation (CV)0.61612171
Kurtosis2.5868072
Mean460011.32
Median Absolute Deviation (MAD)155107
Skewness1.4661839
Sum18860464
Variance8.0328574 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:21.422929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
425953 1
 
2.4%
320507 1
 
2.4%
344197 1
 
2.4%
365191 1
 
2.4%
340782 1
 
2.4%
466557 1
 
2.4%
286737 1
 
2.4%
368795 1
 
2.4%
285298 1
 
2.4%
354077 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136709 1
2.4%
153595 1
2.4%
157624 1
2.4%
167195 1
2.4%
185547 1
2.4%
195539 1
2.4%
198970 1
2.4%
220127 1
2.4%
238335 1
2.4%
255155 1
2.4%
ValueCountFrequency (%)
1456008 1
2.4%
1027890 1
2.4%
980527 1
2.4%
881453 1
2.4%
834244 1
2.4%
740861 1
2.4%
713882 1
2.4%
695650 1
2.4%
681660 1
2.4%
624369 1
2.4%

2022-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458157.24
Minimum136577
Maximum1453514
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:21.582767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136577
5-th percentile157483
Q1265822
median351761
Q3614214
95-th percentile979185
Maximum1453514
Range1316937
Interquartile range (IQR)348392

Descriptive statistics

Standard deviation282742.15
Coefficient of variation (CV)0.61712905
Kurtosis2.6235459
Mean458157.24
Median Absolute Deviation (MAD)153252
Skewness1.4771599
Sum18784447
Variance7.9943121 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:21.735958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
424180 1
 
2.4%
318797 1
 
2.4%
341151 1
 
2.4%
363492 1
 
2.4%
338802 1
 
2.4%
464408 1
 
2.4%
286083 1
 
2.4%
366294 1
 
2.4%
284929 1
 
2.4%
351761 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136577 1
2.4%
153327 1
2.4%
157483 1
2.4%
167252 1
2.4%
185130 1
2.4%
194995 1
2.4%
198509 1
2.4%
219082 1
2.4%
238772 1
2.4%
254171 1
2.4%
ValueCountFrequency (%)
1453514 1
2.4%
1026038 1
2.4%
979185 1
2.4%
879290 1
2.4%
830454 1
2.4%
738420 1
2.4%
712400 1
2.4%
693173 1
2.4%
678769 1
2.4%
621669 1
2.4%

2022-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean455110.68
Minimum136235
Maximum1446401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:21.935644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum136235
5-th percentile157168
Q1262643
median348070
Q3605012
95-th percentile974765
Maximum1446401
Range1310166
Interquartile range (IQR)342369

Descriptive statistics

Standard deviation281105.5
Coefficient of variation (CV)0.61766404
Kurtosis2.6598701
Mean455110.68
Median Absolute Deviation (MAD)150274
Skewness1.4886846
Sum18659538
Variance7.9020305 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:22.127165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
421339 1
 
2.4%
316578 1
 
2.4%
337123 1
 
2.4%
360735 1
 
2.4%
335852 1
 
2.4%
460457 1
 
2.4%
285048 1
 
2.4%
363130 1
 
2.4%
283232 1
 
2.4%
348070 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
136235 1
2.4%
153148 1
2.4%
157168 1
2.4%
167176 1
2.4%
184630 1
2.4%
194391 1
2.4%
197796 1
2.4%
218062 1
2.4%
239568 1
2.4%
252751 1
2.4%
ValueCountFrequency (%)
1446401 1
2.4%
1021150 1
2.4%
974765 1
2.4%
874705 1
2.4%
824237 1
2.4%
734092 1
2.4%
709040 1
2.4%
689149 1
2.4%
674008 1
2.4%
617175 1
2.4%

2022-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean450423.98
Minimum135761
Maximum1431134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:22.309896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum135761
5-th percentile156622
Q1258730
median343853
Q3594802
95-th percentile967974
Maximum1431134
Range1295373
Interquartile range (IQR)336072

Descriptive statistics

Standard deviation278122.43
Coefficient of variation (CV)0.61746809
Kurtosis2.6688071
Mean450423.98
Median Absolute Deviation (MAD)147233
Skewness1.4958533
Sum18467383
Variance7.7352086 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:22.513009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
416936 1
 
2.4%
313669 1
 
2.4%
331241 1
 
2.4%
356339 1
 
2.4%
331709 1
 
2.4%
453349 1
 
2.4%
283302 1
 
2.4%
358868 1
 
2.4%
281278 1
 
2.4%
343853 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
135761 1
2.4%
152588 1
2.4%
156622 1
2.4%
166789 1
2.4%
183666 1
2.4%
193212 1
2.4%
196620 1
2.4%
216155 1
2.4%
239597 1
2.4%
250651 1
2.4%
ValueCountFrequency (%)
1431134 1
2.4%
1011357 1
2.4%
967974 1
2.4%
866671 1
2.4%
814379 1
2.4%
727708 1
2.4%
702939 1
2.4%
682654 1
2.4%
668333 1
2.4%
610095 1
2.4%

2022-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean442815.34
Minimum134907
Maximum1408938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:22.710390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum134907
5-th percentile154756
Q1253435
median337032
Q3579589
95-th percentile957612
Maximum1408938
Range1274031
Interquartile range (IQR)326154

Descriptive statistics

Standard deviation273562.17
Coefficient of variation (CV)0.61777934
Kurtosis2.7098743
Mean442815.34
Median Absolute Deviation (MAD)141828
Skewness1.5112891
Sum18155429
Variance7.4836261 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:22.866438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
409685 1
 
2.4%
307286 1
 
2.4%
321457 1
 
2.4%
349844 1
 
2.4%
326223 1
 
2.4%
443340 1
 
2.4%
279205 1
 
2.4%
352386 1
 
2.4%
276770 1
 
2.4%
337032 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
134907 1
2.4%
151539 1
2.4%
154756 1
2.4%
166032 1
2.4%
181949 1
2.4%
191633 1
2.4%
195204 1
2.4%
212624 1
2.4%
238060 1
2.4%
247113 1
2.4%
ValueCountFrequency (%)
1408938 1
2.4%
996204 1
2.4%
957612 1
2.4%
853748 1
2.4%
794419 1
2.4%
716878 1
2.4%
692531 1
2.4%
670819 1
2.4%
659863 1
2.4%
598532 1
2.4%

2022-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431944.2
Minimum133693
Maximum1382775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T13:43:23.018234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum133693
5-th percentile152792
Q1243168
median328057
Q3548235
95-th percentile939788
Maximum1382775
Range1249082
Interquartile range (IQR)305067

Descriptive statistics

Standard deviation267307.16
Coefficient of variation (CV)0.61884652
Kurtosis2.8599041
Mean431944.2
Median Absolute Deviation (MAD)134791
Skewness1.550946
Sum17709712
Variance7.1453119 × 1010
MonotonicityNot monotonic
2023-12-12T13:43:23.162292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
399620 1
 
2.4%
301251 1
 
2.4%
308603 1
 
2.4%
341608 1
 
2.4%
319258 1
 
2.4%
431010 1
 
2.4%
273643 1
 
2.4%
342907 1
 
2.4%
271858 1
 
2.4%
328057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
133693 1
2.4%
149901 1
2.4%
152792 1
2.4%
165209 1
2.4%
179614 1
2.4%
188953 1
2.4%
193266 1
2.4%
208077 1
2.4%
234932 1
2.4%
242396 1
2.4%
ValueCountFrequency (%)
1382775 1
2.4%
977787 1
2.4%
939788 1
2.4%
835729 1
2.4%
767410 1
2.4%
699282 1
2.4%
679156 1
2.4%
653004 1
2.4%
643407 1
2.4%
582248 1
2.4%

Sample

지역2012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-12
0전국241108240843240486239725239186238249237240236058235050234198233522231416230467229870229875229924230307230150229578229072229121229739230110230364231351231740232338232437232430232431232383232606233258233902233909234176231658232181233006234157235123236171242371243153244032244938245676246134246194246114246098246162246318246414246615247023247169247791248318248452248457248640249156249475249959250921251522252429252787253259253839278985280615282377283340283813284036284224284483285268287487288695289306289448307279306725306155305480305053304869304980305248305797306826308186310734320854322306324460325413325780327333330280332498334399335685337897341347344491348256351059353795356556361192411499415945419990423864426454427501427654427531427256427237426963426583425953424180421339416936409685399620
1수도권343420342793341758340011338820337044335183332959330940329153327714322524320611319418319391319466319959319425318059316987316991317909318203318331318856319661320606320573320350320200320151320405321444322382322002322176316535317325318603320358321899323521328722329838331150332525333558334275334314334119334103334252334619334890335408336255334448335527336402336544336507336659337561338135338950340754341844343428343932344777345928379305382713386373388331389389389969390508391173393037397595399894400909401122428615427603426638425539424902424724425175425888427081429114431589436148451990454301458047459737460325462442466938469794472033473460475749479017483105488843493065497292501404508708600358607849614755621039625192626986627130626828626350626399625854625325624369621669617175610095598532582248
2지방권146377146448146718146870146935146775146555146337146266146280146310146395146346146304146340146465146745146939147107147127147220147558148001148372149789149790150065150287150482150624150710150904151196151566151933152286152664152939153342153932154362154875164296164776165263165745166215166441166520166543166527166514166479166417166332166343168326168534168748168875168918169129169297169386169570169772169930170226170452170587170652188044188062188104188164188108188008187878187767187574187673187893188136188215197026196888196678196388196153195962195765195628195592195709196055196776200888201555202253202531202695203732205263206897208488209645211786215405217684219644221150222522224047226242249015250797252378254175255425255829255981256001255893255806255759255511255155254171252751250651247113242396
36대광역시183130182995183058183044182899182477181935181343180987180760180667179958179638179337179149179493179792180015180198180183180261180761181331181803184248184194184653184967185219185369185567185833186285186776187291187717187924188369189078190167190979191942202838203489204183205004205792206082206084206087206125206168206228206201206246206522208512208988209510209821209943210092210318210523210824211140211453212151212643213016213357235586235797236020236256236469236589236575236567236466236869237621238343238853247709247620247547247368247299247285247250247319247681248262249179250722259670260870263100264239264945266779268485270040272234274095277610283010286829290627293767296624299672304157337804341370344265347305349314350035350009349796349305348881348249347566346680344613341561337283330232321184
45대광역시179831179754179954180017180036179707179286178810178627178621178703178458178423178335178327178412178760179069179375179433179525179976180544181090183073182893183268183593183884184081184331184641185112185611186178186692186706187186187866188978189799190793205790206516207321208251209104209375209365209380209379209421209476209387209455209727211802212342212937213303213477213644213908214139214491214816215148215848216322216668216996241777242044242266242528242795242957242947242980242979243505244363245106245567254148254074253949253712253616253555253510253653253951254564255582257254264742265805266690267049267340268875270621272432275082277251281416287879291938295534298162300284302713306329340891343635345805348114349662350138350049349790349308348816348320347708346899345122342357338565332328324442
59개도188230188224188157187954187658187118186480185762185013184355183761183020182306181831181516181516181785181815181413181131181134181583181906182187184072184423184917184940184917184946184859185037185560186070186401186700184841185213185760186542187177187828191482192014192585193170193670193947194042194059194018193979193965193992193950193958195830195947196105196135196108196247196427196520196701196955197257197757198083198317198501212952213201213747214163214389214429214458214447214481215399216087216584216600228463228170227800227089226557226256226146226182226462226840227516228682236773238539241019242420243141244605246926248767250340251363253272256185258987262575265284267868270214274257312303316724320425323892326085327057327270327244327072327070327024326707326235324759322580319221313604305612
68개도124615124782125098125308125403125353125264125214125215125242125238125298125232125212125270125416125646125759125839125836125929126192126555126813127827127947128159128315128452128561128604128727128906129191129431129680130217130360130587130841131017131219135931136250136525136708136925137123137262137287137259137208137110137059136863136693138434138418138368138330138284138523138616138600138642138678138689138697138756138749138637150804150645150558150469150182149892149667149441149110148926148712148615148434156872156690156439156149155831155583155300154986154726154518154422154475156015156269156454156527156582157124158030158749159285159691160468162233163344164238165010165894166859168207178365179628180931182488183689184344184732184974185123185339185603185586185547185130184630183666181949179614
7서울484415483187481343477814475972473092470288466853464112461765459987452120449525448106449334449777450617449324447128445222445369446669446890446743442844444004445126445140444804444506444436444737446083447357445647445586440592441700443560445949448166450562458931460692462804464839466236467519467557467048467019467431468251468738469910471740466414468829470507470686470606470974472967474155475812479832481754484233484488485858488047549150557233565125568881570502571430572400573870578331587393590915591704591674648286646174644226642954642329642302643380644713646418650238654481662952688336688898689215688161686807687922693996697028698888699982701083703270706492710849713486716584720354727396853858859959867269874121879357881835882277882062881860882567882164882106881453879290874705866671853748835729
8서울 강북지역386182385886384912383655382589381440380431379151377845376354374769370277368940367773367142366278366451365661364454362776362073362681362782362972363512364240364855365019364930364793364597364535365066365691361888362059358086358687359637360828361780363128371242372505373985375698377056377804377981378088378193378397378723378672379232380535378525379681380807381315381535381696381981383059383956385779387465388886389415390137391320443405445982450070453305455018456666458751461106464632470000473222474858475781533192532581531956531441531178531274531894532915534062536323538646541480561812563241564535565581565499566329570884573569575414576484577698579562581708585110587448589426591596595410722784727803732410737250740989742406742430742139741699742018742446742070740861738420734092727708716878699282
9서울 강북지역 도심권583680583483581628581260580813579581578439575856573902571320568679564110563256562864562017559510558746557049555532553629552657552054551878551577551178550908550343550002549578549453549321549195549484550083550529550662547785548154549102549971550757552038577760578492579618580793581852582450582701582910583034583391583950585077585925587142586892588183589335590052590564591290592465593990595853598918601349603979604870606065607766692647697797707622713868716899719704723624727615735704744102749692753025755313839282838492837925837302837305837742837736839290841379845272849340853903882130883977885462886509886165887388892084895588898143899793901521904329906995910766913059915467918297922177949013954866961477970042977202979759980038979324977671978838980256981039980527979185974765967974957612939788
지역2012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-12
31울산206601207684208612209701210619211212210471210109209753209574210036208756208529208190207948208199208316208582208837208556208475208753209344209375211167206893207180207604208066208729209304209890210518211069211860212359211627212054212479213213213828214604233753234216234874235658236389236793237199237623237822238074238274238570237925237800239525239807239790239690239548239489239445239269239207238971238868238771238927238871238538254520254052253674253363252652251478250791249480247904246927245568243873242211245484244677243955243087242489241996241671241363240872241148241837242980247091248460249524250077250456251552253433255406258310261057264586273088278128280608282134283311284396286456315748317831319590321106322018322302322293322414322315321406321366320996320507318797316578313669307286301251
32세종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>150162150849151784152807153535154501155153155192154906154987155377155637155890160953160944160911160798160404160176159767159414159193159565159535159657164296164337164310164336164382164547189378189444189572189762189814189772189904190171190310190407190578191042191548191969212030212348213014213401213576213872214618215251217254222508224572225877226080226218226362283698284427285022285954286940287777288489289606290096290173290978291778292269328954328872327892325832325169323579322623322186322346322495322830325757359998367836386538393894395270404208428049466470485048490528495104499069502059504250505981507423507768506505678413676210675199673620667932652826646664642163638168634328630693626332621809614214605012594802579589548235
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