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 평균단위매매가격 데이터입니다. - 단위 : 천원/㎡ - 공표시기(월간) : 익월 15일(발표일이 휴일인 경우 그 다음날)
Author한국부동산원
URLhttps://www.data.go.kr/data/15112205/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
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
2013-07 has unique valuesUnique
2013-10 has unique valuesUnique
2013-11 has unique valuesUnique
2013-12 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
2015-09 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
2016-06 has unique valuesUnique
2016-07 has unique valuesUnique
2016-08 has unique valuesUnique
2016-09 has unique valuesUnique
2016-10 has unique valuesUnique
2016-12 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
2018-06 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
2019-04 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
2020-05 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 00:13:43.329910
Analysis finished2023-12-12 00:13:44.594590
Duration1.26 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
2023-12-12T09:13:44.759673image/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%
2023-12-12T09:13:45.128084image/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%
Mean2713.925
Minimum781
Maximum8289
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:45.294802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum781
5-th percentile944.9
Q11465
median2099
Q33186.25
95-th percentile6000.45
Maximum8289
Range7508
Interquartile range (IQR)1721.25

Descriptive statistics

Standard deviation1711.2792
Coefficient of variation (CV)0.63055508
Kurtosis1.79328
Mean2713.925
Median Absolute Deviation (MAD)835.5
Skewness1.3871219
Sum108557
Variance2928476.5
MonotonicityNot monotonic
2023-12-12T09:13:45.433018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2610 1
 
2.4%
2790 1
 
2.4%
2351 1
 
2.4%
2187 1
 
2.4%
2086 1
 
2.4%
2403 1
 
2.4%
2103 1
 
2.4%
1759 1
 
2.4%
1441 1
 
2.4%
2084 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
781 1
2.4%
943 1
2.4%
945 1
2.4%
1046 1
2.4%
1067 1
2.4%
1110 1
2.4%
1165 1
2.4%
1231 1
2.4%
1258 1
2.4%
1441 1
2.4%
ValueCountFrequency (%)
8289 1
2.4%
6332 1
2.4%
5983 1
2.4%
5465 1
2.4%
4774 1
2.4%
4561 1
2.4%
4543 1
2.4%
4426 1
2.4%
4264 1
2.4%
3838 1
2.4%

2012-02
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2711.6
Minimum783
Maximum8244
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:45.596571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum783
5-th percentile961.25
Q11466.5
median2104
Q33183
95-th percentile5997.5
Maximum8244
Range7461
Interquartile range (IQR)1716.5

Descriptive statistics

Standard deviation1704.2476
Coefficient of variation (CV)0.62850258
Kurtosis1.7531668
Mean2711.6
Median Absolute Deviation (MAD)834
Skewness1.3803927
Sum108464
Variance2904459.8
MonotonicityNot monotonic
2023-12-12T09:13:45.757798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2608 1
 
2.4%
2790 1
 
2.4%
2347 1
 
2.4%
2182 1
 
2.4%
2086 1
 
2.4%
2391 1
 
2.4%
2096 1
 
2.4%
1765 1
 
2.4%
1441 1
 
2.4%
2074 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
783 1
2.4%
947 1
2.4%
962 1
2.4%
1048 1
2.4%
1072 1
2.4%
1112 1
2.4%
1167 1
2.4%
1232 1
2.4%
1260 1
2.4%
1441 1
2.4%
ValueCountFrequency (%)
8244 1
2.4%
6311 1
2.4%
5981 1
2.4%
5453 1
2.4%
4772 1
2.4%
4554 1
2.4%
4540 1
2.4%
4422 1
2.4%
4262 1
2.4%
3831 1
2.4%

2012-03
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2707
Minimum782
Maximum8195
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:45.932076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum782
5-th percentile963.4
Q11470.75
median2106.5
Q33175
95-th percentile5978.95
Maximum8195
Range7413
Interquartile range (IQR)1704.25

Descriptive statistics

Standard deviation1694.0449
Coefficient of variation (CV)0.62580158
Kurtosis1.7301381
Mean2707
Median Absolute Deviation (MAD)827.5
Skewness1.3757853
Sum108280
Variance2869788
MonotonicityNot monotonic
2023-12-12T09:13:46.070972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2778 2
 
4.9%
2604 1
 
2.4%
2017 1
 
2.4%
2178 1
 
2.4%
2087 1
 
2.4%
2388 1
 
2.4%
2083 1
 
2.4%
1775 1
 
2.4%
1449 1
 
2.4%
2071 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
782 1
2.4%
952 1
2.4%
964 1
2.4%
1054 1
2.4%
1075 1
2.4%
1120 1
2.4%
1171 1
2.4%
1231 1
2.4%
1265 1
2.4%
1449 1
2.4%
ValueCountFrequency (%)
8195 1
2.4%
6282 1
2.4%
5963 1
2.4%
5432 1
2.4%
4759 1
2.4%
4542 1
2.4%
4528 1
2.4%
4415 1
2.4%
4251 1
2.4%
3820 1
2.4%

2012-04
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2700.325
Minimum786
Maximum8127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:46.205187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum786
5-th percentile969.3
Q11473.25
median2113.5
Q33165.75
95-th percentile5973
Maximum8127
Range7341
Interquartile range (IQR)1692.5

Descriptive statistics

Standard deviation1681.5747
Coefficient of variation (CV)0.62273048
Kurtosis1.6893802
Mean2700.325
Median Absolute Deviation (MAD)817.5
Skewness1.36814
Sum108013
Variance2827693.5
MonotonicityNot monotonic
2023-12-12T09:13:46.343192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2598 1
 
2.4%
2765 1
 
2.4%
2339 1
 
2.4%
2172 1
 
2.4%
2086 1
 
2.4%
2381 1
 
2.4%
2070 1
 
2.4%
1784 1
 
2.4%
1453 1
 
2.4%
2065 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
786 1
2.4%
956 1
2.4%
970 1
2.4%
1058 1
2.4%
1078 1
2.4%
1122 1
2.4%
1173 1
2.4%
1230 1
2.4%
1270 1
2.4%
1453 1
2.4%
ValueCountFrequency (%)
8127 1
2.4%
6239 1
2.4%
5959 1
2.4%
5402 1
2.4%
4736 1
2.4%
4540 1
2.4%
4513 1
2.4%
4404 1
2.4%
4229 1
2.4%
3804 1
2.4%

2012-05
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2694.275
Minimum787
Maximum8096
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:46.476614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum787
5-th percentile981.85
Q11476
median2118.5
Q33155.75
95-th percentile5966.85
Maximum8096
Range7309
Interquartile range (IQR)1679.75

Descriptive statistics

Standard deviation1673.3861
Coefficient of variation (CV)0.62108956
Kurtosis1.6964217
Mean2694.275
Median Absolute Deviation (MAD)804
Skewness1.3709221
Sum107771
Variance2800221
MonotonicityNot monotonic
2023-12-12T09:13:46.914632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2059 2
 
4.9%
2591 1
 
2.4%
3791 1
 
2.4%
2011 1
 
2.4%
2330 1
 
2.4%
2165 1
 
2.4%
2083 1
 
2.4%
2375 1
 
2.4%
1787 1
 
2.4%
1461 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
787 1
2.4%
960 1
2.4%
983 1
2.4%
1062 1
2.4%
1078 1
2.4%
1120 1
2.4%
1174 1
2.4%
1230 1
2.4%
1275 1
2.4%
1461 1
2.4%
ValueCountFrequency (%)
8096 1
2.4%
6211 1
2.4%
5954 1
2.4%
5381 1
2.4%
4709 1
2.4%
4532 1
2.4%
4498 1
2.4%
4392 1
2.4%
4211 1
2.4%
3791 1
2.4%

2012-06
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2683.525
Minimum790
Maximum8013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:47.029426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum790
5-th percentile982
Q11476.5
median2116
Q33141
95-th percentile5951.95
Maximum8013
Range7223
Interquartile range (IQR)1664.5

Descriptive statistics

Standard deviation1659.5369
Coefficient of variation (CV)0.61841679
Kurtosis1.6412297
Mean2683.525
Median Absolute Deviation (MAD)792.5
Skewness1.3610129
Sum107341
Variance2754062.8
MonotonicityNot monotonic
2023-12-12T09:13:47.151633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2581 1
 
2.4%
2732 1
 
2.4%
2321 1
 
2.4%
2155 1
 
2.4%
2077 1
 
2.4%
2363 1
 
2.4%
2043 1
 
2.4%
1789 1
 
2.4%
1469 1
 
2.4%
2044 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
790 1
2.4%
963 1
2.4%
983 1
2.4%
1064 1
2.4%
1078 1
2.4%
1116 1
2.4%
1174 1
2.4%
1229 1
2.4%
1277 1
2.4%
1469 1
2.4%
ValueCountFrequency (%)
8013 1
2.4%
6160 1
2.4%
5941 1
2.4%
5348 1
2.4%
4684 1
2.4%
4525 1
2.4%
4485 1
2.4%
4372 1
2.4%
4195 1
2.4%
3771 1
2.4%

2012-07
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2671.375
Minimum789
Maximum7940
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:47.272110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum789
5-th percentile982.15
Q11474.75
median2109.5
Q33122.75
95-th percentile5939.2
Maximum7940
Range7151
Interquartile range (IQR)1648

Descriptive statistics

Standard deviation1647.772
Coefficient of variation (CV)0.61682541
Kurtosis1.5975073
Mean2671.375
Median Absolute Deviation (MAD)787
Skewness1.3544576
Sum106855
Variance2715152.5
MonotonicityNot monotonic
2023-12-12T09:13:47.390452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2569 1
 
2.4%
2709 1
 
2.4%
2308 1
 
2.4%
2146 1
 
2.4%
2073 1
 
2.4%
2351 1
 
2.4%
2030 1
 
2.4%
1790 1
 
2.4%
1471 1
 
2.4%
2033 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
789 1
2.4%
966 1
2.4%
983 1
2.4%
1067 1
2.4%
1077 1
2.4%
1111 1
2.4%
1172 1
2.4%
1226 1
2.4%
1277 1
2.4%
1471 1
2.4%
ValueCountFrequency (%)
7940 1
2.4%
6114 1
2.4%
5930 1
2.4%
5319 1
2.4%
4660 1
2.4%
4521 1
2.4%
4472 1
2.4%
4343 1
2.4%
4179 1
2.4%
3749 1
2.4%

2012-08
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2657.025
Minimum790
Maximum7847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:47.518849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum790
5-th percentile983.35
Q11473.25
median2102
Q33102.25
95-th percentile5915.1
Maximum7847
Range7057
Interquartile range (IQR)1629

Descriptive statistics

Standard deviation1631.036
Coefficient of variation (CV)0.61385797
Kurtosis1.5475627
Mean2657.025
Median Absolute Deviation (MAD)777.5
Skewness1.3458153
Sum106281
Variance2660278.4
MonotonicityNot monotonic
2023-12-12T09:13:47.670760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2556 1
 
2.4%
2677 1
 
2.4%
2296 1
 
2.4%
2136 1
 
2.4%
2068 1
 
2.4%
2337 1
 
2.4%
2017 1
 
2.4%
1795 1
 
2.4%
1471 1
 
2.4%
2016 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
790 1
2.4%
971 1
2.4%
984 1
2.4%
1072 1
2.4%
1076 1
2.4%
1108 1
2.4%
1172 1
2.4%
1223 1
2.4%
1277 1
2.4%
1471 1
2.4%
ValueCountFrequency (%)
7847 1
2.4%
6050 1
2.4%
5908 1
2.4%
5278 1
2.4%
4620 1
2.4%
4512 1
2.4%
4457 1
2.4%
4310 1
2.4%
4163 1
2.4%
3724 1
2.4%

2012-09
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2645.025
Minimum791
Maximum7763
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:47.815269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum791
5-th percentile982.65
Q11472.5
median2098.5
Q33082.75
95-th percentile5892.7
Maximum7763
Range6972
Interquartile range (IQR)1610.25

Descriptive statistics

Standard deviation1616.1951
Coefficient of variation (CV)0.61103207
Kurtosis1.5025281
Mean2645.025
Median Absolute Deviation (MAD)761
Skewness1.3373891
Sum105801
Variance2612086.6
MonotonicityNot monotonic
2023-12-12T09:13:47.956985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2544 1
 
2.4%
2655 1
 
2.4%
2284 1
 
2.4%
2131 1
 
2.4%
2066 1
 
2.4%
2333 1
 
2.4%
2006 1
 
2.4%
1798 1
 
2.4%
1471 1
 
2.4%
2013 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
791 1
2.4%
976 1
2.4%
983 1
2.4%
1075 1
2.4%
1076 1
2.4%
1100 1
2.4%
1172 1
2.4%
1223 1
2.4%
1275 1
2.4%
1471 1
2.4%
ValueCountFrequency (%)
7763 1
2.4%
6001 1
2.4%
5887 1
2.4%
5245 1
2.4%
4598 1
2.4%
4492 1
2.4%
4442 1
2.4%
4271 1
2.4%
4150 1
2.4%
3700 1
2.4%

2012-10
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2635.175
Minimum792
Maximum7699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:48.148351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum792
5-th percentile982.85
Q11473.25
median2097
Q33065
95-th percentile5866.1
Maximum7699
Range6907
Interquartile range (IQR)1591.75

Descriptive statistics

Standard deviation1603.4897
Coefficient of variation (CV)0.60849456
Kurtosis1.4783481
Mean2635.175
Median Absolute Deviation (MAD)744.5
Skewness1.3324394
Sum105407
Variance2571179.1
MonotonicityNot monotonic
2023-12-12T09:13:48.265634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2535 1
 
2.4%
2640 1
 
2.4%
2272 1
 
2.4%
2129 1
 
2.4%
2065 1
 
2.4%
2331 1
 
2.4%
2001 1
 
2.4%
1802 1
 
2.4%
1471 1
 
2.4%
2015 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
792 1
2.4%
980 1
2.4%
983 1
2.4%
1075 1
2.4%
1079 1
2.4%
1095 1
2.4%
1173 1
2.4%
1218 1
2.4%
1276 1
2.4%
1471 1
2.4%
ValueCountFrequency (%)
7699 1
2.4%
5963 1
2.4%
5861 1
2.4%
5218 1
2.4%
4580 1
2.4%
4476 1
2.4%
4426 1
2.4%
4230 1
2.4%
4136 1
2.4%
3680 1
2.4%

2012-11
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2627.725
Minimum789
Maximum7681
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:48.410166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum789
5-th percentile983.95
Q11473.75
median2095.5
Q33049.75
95-th percentile5842.25
Maximum7681
Range6892
Interquartile range (IQR)1576

Descriptive statistics

Standard deviation1596.1111
Coefficient of variation (CV)0.60741176
Kurtosis1.5072279
Mean2627.725
Median Absolute Deviation (MAD)730
Skewness1.338006
Sum105109
Variance2547570.5
MonotonicityNot monotonic
2023-12-12T09:13:48.534007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2527 1
 
2.4%
2628 1
 
2.4%
2263 1
 
2.4%
2127 1
 
2.4%
2064 1
 
2.4%
2330 1
 
2.4%
1996 1
 
2.4%
1806 1
 
2.4%
1473 1
 
2.4%
2018 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
789 1
2.4%
983 1
2.4%
984 1
2.4%
1074 1
2.4%
1083 1
2.4%
1088 1
2.4%
1173 1
2.4%
1214 1
2.4%
1277 1
2.4%
1473 1
2.4%
ValueCountFrequency (%)
7681 1
2.4%
5942 1
2.4%
5837 1
2.4%
5199 1
2.4%
4558 1
2.4%
4472 1
2.4%
4408 1
2.4%
4196 1
2.4%
4113 1
2.4%
3664 1
2.4%

2012-12
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2581.4146
Minimum796
Maximum7595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:48.677665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum796
5-th percentile1002
Q11480
median2060
Q32822
95-th percentile5831
Maximum7595
Range6799
Interquartile range (IQR)1342

Descriptive statistics

Standard deviation1575.2775
Coefficient of variation (CV)0.61023809
Kurtosis1.5414862
Mean2581.4146
Median Absolute Deviation (MAD)762
Skewness1.3583809
Sum105838
Variance2481499.3
MonotonicityNot monotonic
2023-12-12T09:13:48.795391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1480 2
 
4.9%
2518 1
 
2.4%
1118 1
 
2.4%
2250 1
 
2.4%
2124 1
 
2.4%
2060 1
 
2.4%
2322 1
 
2.4%
1995 1
 
2.4%
1819 1
 
2.4%
2030 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
796 1
2.4%
994 1
2.4%
1002 1
2.4%
1064 1
2.4%
1076 1
2.4%
1118 1
2.4%
1121 1
2.4%
1177 1
2.4%
1247 1
2.4%
1279 1
2.4%
ValueCountFrequency (%)
7595 1
2.4%
5884 1
2.4%
5831 1
2.4%
5154 1
2.4%
4517 1
2.4%
4451 1
2.4%
4393 1
2.4%
4177 1
2.4%
4097 1
2.4%
3630 1
2.4%

2013-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2571.4634
Minimum795
Maximum7541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:48.912846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum795
5-th percentile1001
Q11480
median2056
Q32804
95-th percentile5823
Maximum7541
Range6746
Interquartile range (IQR)1324

Descriptive statistics

Standard deviation1564.1438
Coefficient of variation (CV)0.60826991
Kurtosis1.5323304
Mean2571.4634
Median Absolute Deviation (MAD)748
Skewness1.3580486
Sum105430
Variance2446545.9
MonotonicityNot monotonic
2023-12-12T09:13:49.032762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2507 1
 
2.4%
2145 1
 
2.4%
2235 1
 
2.4%
2118 1
 
2.4%
2056 1
 
2.4%
2316 1
 
2.4%
1987 1
 
2.4%
1830 1
 
2.4%
1481 1
 
2.4%
2031 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
795 1
2.4%
999 1
2.4%
1001 1
2.4%
1057 1
2.4%
1075 1
2.4%
1125 1
2.4%
1130 1
2.4%
1176 1
2.4%
1246 1
2.4%
1277 1
2.4%
ValueCountFrequency (%)
7541 1
2.4%
5842 1
2.4%
5823 1
2.4%
5126 1
2.4%
4485 1
2.4%
4447 1
2.4%
4378 1
2.4%
4141 1
2.4%
4076 1
2.4%
3609 1
2.4%

2013-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2565.6585
Minimum793
Maximum7526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:49.161633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum793
5-th percentile1003
Q11479
median2054
Q32792
95-th percentile5818
Maximum7526
Range6733
Interquartile range (IQR)1313

Descriptive statistics

Standard deviation1559.0177
Coefficient of variation (CV)0.60764818
Kurtosis1.5551149
Mean2565.6585
Median Absolute Deviation (MAD)738
Skewness1.3644768
Sum105192
Variance2430536.3
MonotonicityNot monotonic
2023-12-12T09:13:49.301023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2501 1
 
2.4%
2142 1
 
2.4%
2224 1
 
2.4%
2115 1
 
2.4%
2054 1
 
2.4%
2309 1
 
2.4%
1984 1
 
2.4%
1834 1
 
2.4%
1482 1
 
2.4%
2029 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
793 1
2.4%
1000 1
2.4%
1003 1
2.4%
1056 1
2.4%
1073 1
2.4%
1126 1
2.4%
1141 1
2.4%
1176 1
2.4%
1248 1
2.4%
1278 1
2.4%
ValueCountFrequency (%)
7526 1
2.4%
5827 1
2.4%
5818 1
2.4%
5111 1
2.4%
4469 1
2.4%
4443 1
2.4%
4364 1
2.4%
4117 1
2.4%
4057 1
2.4%
3596 1
2.4%

2013-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2563.8293
Minimum792
Maximum7544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:49.430728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum792
5-th percentile1008
Q11480
median2053
Q32783
95-th percentile5808
Maximum7544
Range6752
Interquartile range (IQR)1303

Descriptive statistics

Standard deviation1559.2177
Coefficient of variation (CV)0.60815974
Kurtosis1.5986566
Mean2563.8293
Median Absolute Deviation (MAD)730
Skewness1.3754678
Sum105117
Variance2431159.9
MonotonicityNot monotonic
2023-12-12T09:13:49.567389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2498 1
 
2.4%
2139 1
 
2.4%
2215 1
 
2.4%
2112 1
 
2.4%
2053 1
 
2.4%
2303 1
 
2.4%
1984 1
 
2.4%
1838 1
 
2.4%
1484 1
 
2.4%
2031 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
792 1
2.4%
1000 1
2.4%
1008 1
2.4%
1054 1
2.4%
1070 1
2.4%
1128 1
2.4%
1155 1
2.4%
1177 1
2.4%
1249 1
2.4%
1278 1
2.4%
ValueCountFrequency (%)
7544 1
2.4%
5835 1
2.4%
5808 1
2.4%
5112 1
2.4%
4471 1
2.4%
4439 1
2.4%
4356 1
2.4%
4105 1
2.4%
4049 1
2.4%
3590 1
2.4%

2013-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2562.3902
Minimum790
Maximum7507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:49.723813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum790
5-th percentile1013
Q11483
median2051
Q32782
95-th percentile5784
Maximum7507
Range6717
Interquartile range (IQR)1299

Descriptive statistics

Standard deviation1551.8946
Coefficient of variation (CV)0.60564334
Kurtosis1.5684427
Mean2562.3902
Median Absolute Deviation (MAD)731
Skewness1.3676863
Sum105058
Variance2408376.8
MonotonicityNot monotonic
2023-12-12T09:13:49.863893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2496 1
 
2.4%
2141 1
 
2.4%
2221 1
 
2.4%
2113 1
 
2.4%
2051 1
 
2.4%
2304 1
 
2.4%
1988 1
 
2.4%
1855 1
 
2.4%
1488 1
 
2.4%
2037 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
790 1
2.4%
1001 1
2.4%
1013 1
2.4%
1054 1
2.4%
1069 1
2.4%
1131 1
2.4%
1163 1
2.4%
1179 1
2.4%
1252 1
2.4%
1282 1
2.4%
ValueCountFrequency (%)
7507 1
2.4%
5817 1
2.4%
5784 1
2.4%
5095 1
2.4%
4485 1
2.4%
4423 1
2.4%
4346 1
2.4%
4113 1
2.4%
4042 1
2.4%
3582 1
2.4%

2013-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2566.7805
Minimum789
Maximum7544
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:49.981643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum789
5-th percentile1020
Q11487
median2051
Q32786
95-th percentile5778
Maximum7544
Range6755
Interquartile range (IQR)1299

Descriptive statistics

Standard deviation1555.4564
Coefficient of variation (CV)0.60599511
Kurtosis1.6096287
Mean2566.7805
Median Absolute Deviation (MAD)735
Skewness1.3756634
Sum105238
Variance2419444.7
MonotonicityNot monotonic
2023-12-12T09:13:50.129768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2501 1
 
2.4%
2141 1
 
2.4%
2221 1
 
2.4%
2114 1
 
2.4%
2051 1
 
2.4%
2304 1
 
2.4%
1992 1
 
2.4%
1871 1
 
2.4%
1490 1
 
2.4%
2038 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
789 1
2.4%
1000 1
2.4%
1020 1
2.4%
1054 1
2.4%
1070 1
2.4%
1135 1
2.4%
1172 1
2.4%
1182 1
2.4%
1255 1
2.4%
1283 1
2.4%
ValueCountFrequency (%)
7544 1
2.4%
5836 1
2.4%
5778 1
2.4%
5105 1
2.4%
4491 1
2.4%
4424 1
2.4%
4347 1
2.4%
4120 1
2.4%
4045 1
2.4%
3589 1
2.4%

2013-06
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2564.878
Minimum788
Maximum7506
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:50.259247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum788
5-th percentile1026
Q11489
median2049
Q32787
95-th percentile5759
Maximum7506
Range6718
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation1548.5651
Coefficient of variation (CV)0.6037578
Kurtosis1.5752664
Mean2564.878
Median Absolute Deviation (MAD)738
Skewness1.3667538
Sum105160
Variance2398054
MonotonicityNot monotonic
2023-12-12T09:13:50.383483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1889 2
 
4.9%
2542 1
 
2.4%
2222 1
 
2.4%
2113 1
 
2.4%
2049 1
 
2.4%
2304 1
 
2.4%
1992 1
 
2.4%
1491 1
 
2.4%
2039 1
 
2.4%
2143 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
788 1
2.4%
1001 1
2.4%
1026 1
2.4%
1051 1
2.4%
1068 1
2.4%
1137 1
2.4%
1176 1
2.4%
1183 1
2.4%
1257 1
2.4%
1284 1
2.4%
ValueCountFrequency (%)
7506 1
2.4%
5815 1
2.4%
5759 1
2.4%
5091 1
2.4%
4483 1
2.4%
4423 1
2.4%
4339 1
2.4%
4125 1
2.4%
4038 1
2.4%
3584 1
2.4%

2013-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2559
Minimum786
Maximum7451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:50.536906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum786
5-th percentile1036
Q11491
median2044
Q32780
95-th percentile5744
Maximum7451
Range6665
Interquartile range (IQR)1289

Descriptive statistics

Standard deviation1538.11
Coefficient of variation (CV)0.60105902
Kurtosis1.5431409
Mean2559
Median Absolute Deviation (MAD)736
Skewness1.3588239
Sum104919
Variance2365782.5
MonotonicityNot monotonic
2023-12-12T09:13:50.700958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2495 1
 
2.4%
2145 1
 
2.4%
2220 1
 
2.4%
2110 1
 
2.4%
2044 1
 
2.4%
2300 1
 
2.4%
1991 1
 
2.4%
1915 1
 
2.4%
1491 1
 
2.4%
2033 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
786 1
2.4%
1000 1
2.4%
1036 1
2.4%
1049 1
2.4%
1066 1
2.4%
1139 1
2.4%
1175 1
2.4%
1184 1
2.4%
1257 1
2.4%
1284 1
2.4%
ValueCountFrequency (%)
7451 1
2.4%
5779 1
2.4%
5744 1
2.4%
5065 1
2.4%
4462 1
2.4%
4419 1
2.4%
4325 1
2.4%
4114 1
2.4%
4020 1
2.4%
3571 1
2.4%

2013-08
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2552.8537
Minimum784
Maximum7416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:50.851772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum784
5-th percentile1040
Q11490
median2042
Q32773
95-th percentile5725
Maximum7416
Range6632
Interquartile range (IQR)1283

Descriptive statistics

Standard deviation1529.9659
Coefficient of variation (CV)0.59931594
Kurtosis1.5391264
Mean2552.8537
Median Absolute Deviation (MAD)731
Skewness1.3567727
Sum104667
Variance2340795.6
MonotonicityNot monotonic
2023-12-12T09:13:50.970488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1868 2
 
4.9%
2489 1
 
2.4%
1172 1
 
2.4%
2108 1
 
2.4%
2042 1
 
2.4%
2299 1
 
2.4%
1989 1
 
2.4%
1929 1
 
2.4%
1490 1
 
2.4%
2028 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
784 1
2.4%
999 1
2.4%
1040 1
2.4%
1047 1
2.4%
1065 1
2.4%
1140 1
2.4%
1172 1
2.4%
1185 1
2.4%
1256 1
2.4%
1285 1
2.4%
ValueCountFrequency (%)
7416 1
2.4%
5756 1
2.4%
5725 1
2.4%
5044 1
2.4%
4447 1
2.4%
4402 1
2.4%
4306 1
2.4%
4103 1
2.4%
3999 1
2.4%
3559 1
2.4%

2013-09
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2554.2683
Minimum783
Maximum7444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:51.098478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum783
5-th percentile1045
Q11490
median2042
Q32774
95-th percentile5716
Maximum7444
Range6661
Interquartile range (IQR)1284

Descriptive statistics

Standard deviation1532.1432
Coefficient of variation (CV)0.59983642
Kurtosis1.5795346
Mean2554.2683
Median Absolute Deviation (MAD)732
Skewness1.3647619
Sum104725
Variance2347462.7
MonotonicityNot monotonic
2023-12-12T09:13:51.242688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2027 2
 
4.9%
2491 1
 
2.4%
1174 1
 
2.4%
2218 1
 
2.4%
2107 1
 
2.4%
2042 1
 
2.4%
2298 1
 
2.4%
1989 1
 
2.4%
1939 1
 
2.4%
1490 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
783 1
2.4%
998 1
2.4%
1045 1
2.4%
1046 1
2.4%
1065 1
2.4%
1142 1
2.4%
1174 1
2.4%
1186 1
2.4%
1257 1
2.4%
1286 1
2.4%
ValueCountFrequency (%)
7444 1
2.4%
5771 1
2.4%
5716 1
2.4%
5048 1
2.4%
4453 1
2.4%
4399 1
2.4%
4298 1
2.4%
4108 1
2.4%
3990 1
2.4%
3561 1
2.4%

2013-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2562.3659
Minimum783
Maximum7483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:51.690035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum783
5-th percentile1046
Q11492
median2043
Q32784
95-th percentile5714
Maximum7483
Range6700
Interquartile range (IQR)1292

Descriptive statistics

Standard deviation1537.8415
Coefficient of variation (CV)0.60016468
Kurtosis1.6001884
Mean2562.3659
Median Absolute Deviation (MAD)741
Skewness1.3678748
Sum105057
Variance2364956.4
MonotonicityNot monotonic
2023-12-12T09:13:51.880805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2500 1
 
2.4%
2146 1
 
2.4%
2228 1
 
2.4%
2110 1
 
2.4%
2043 1
 
2.4%
2300 1
 
2.4%
1997 1
 
2.4%
1956 1
 
2.4%
1492 1
 
2.4%
2031 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
783 1
2.4%
997 1
2.4%
1046 1
2.4%
1053 1
2.4%
1068 1
2.4%
1148 1
2.4%
1181 1
2.4%
1189 1
2.4%
1262 1
2.4%
1287 1
2.4%
ValueCountFrequency (%)
7483 1
2.4%
5797 1
2.4%
5714 1
2.4%
5067 1
2.4%
4469 1
2.4%
4408 1
2.4%
4309 1
2.4%
4124 1
2.4%
4003 1
2.4%
3574 1
2.4%

2013-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2566.3659
Minimum782
Maximum7483
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:52.016177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum782
5-th percentile1047
Q11494
median2044
Q32790
95-th percentile5712
Maximum7483
Range6701
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation1537.2243
Coefficient of variation (CV)0.59898878
Kurtosis1.5941617
Mean2566.3659
Median Absolute Deviation (MAD)746
Skewness1.3653961
Sum105221
Variance2363058.7
MonotonicityNot monotonic
2023-12-12T09:13:52.152711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2504 1
 
2.4%
2151 1
 
2.4%
2236 1
 
2.4%
2113 1
 
2.4%
2044 1
 
2.4%
2302 1
 
2.4%
2001 1
 
2.4%
1975 1
 
2.4%
1494 1
 
2.4%
2035 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
782 1
2.4%
998 1
2.4%
1047 1
2.4%
1058 1
2.4%
1071 1
2.4%
1158 1
2.4%
1185 1
2.4%
1193 1
2.4%
1263 1
2.4%
1292 1
2.4%
ValueCountFrequency (%)
7483 1
2.4%
5801 1
2.4%
5712 1
2.4%
5069 1
2.4%
4476 1
2.4%
4408 1
2.4%
4310 1
2.4%
4133 1
2.4%
4005 1
2.4%
3579 1
2.4%

2013-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2569.1951
Minimum781
Maximum7481
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:52.315401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum781
5-th percentile1048
Q11494
median2048
Q32794
95-th percentile5710
Maximum7481
Range6700
Interquartile range (IQR)1300

Descriptive statistics

Standard deviation1535.6119
Coefficient of variation (CV)0.59770157
Kurtosis1.5906598
Mean2569.1951
Median Absolute Deviation (MAD)746
Skewness1.3630282
Sum105337
Variance2358104.1
MonotonicityNot monotonic
2023-12-12T09:13:52.468770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2508 1
 
2.4%
2152 1
 
2.4%
2240 1
 
2.4%
2115 1
 
2.4%
2045 1
 
2.4%
2304 1
 
2.4%
2005 1
 
2.4%
2001 1
 
2.4%
1494 1
 
2.4%
2038 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
781 1
2.4%
1001 1
2.4%
1048 1
2.4%
1065 1
2.4%
1074 1
2.4%
1164 1
2.4%
1187 1
2.4%
1196 1
2.4%
1265 1
2.4%
1295 1
2.4%
ValueCountFrequency (%)
7481 1
2.4%
5795 1
2.4%
5710 1
2.4%
5067 1
2.4%
4466 1
2.4%
4412 1
2.4%
4313 1
2.4%
4143 1
2.4%
4009 1
2.4%
3581 1
2.4%

2014-01
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2588.0488
Minimum787
Maximum7494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:52.624443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum787
5-th percentile1050
Q11511
median2074
Q32818
95-th percentile5713
Maximum7494
Range6707
Interquartile range (IQR)1307

Descriptive statistics

Standard deviation1533.6504
Coefficient of variation (CV)0.59258946
Kurtosis1.5797613
Mean2588.0488
Median Absolute Deviation (MAD)744
Skewness1.3548839
Sum106110
Variance2352083.6
MonotonicityNot monotonic
2023-12-12T09:13:52.777404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2818 2
 
4.9%
2526 1
 
2.4%
2168 1
 
2.4%
2132 1
 
2.4%
2061 1
 
2.4%
2338 1
 
2.4%
2005 1
 
2.4%
2035 1
 
2.4%
1511 1
 
2.4%
2073 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
787 1
2.4%
1028 1
2.4%
1050 1
2.4%
1077 1
2.4%
1079 1
2.4%
1184 1
2.4%
1206 1
2.4%
1264 1
2.4%
1267 1
2.4%
1302 1
2.4%
ValueCountFrequency (%)
7494 1
2.4%
5801 1
2.4%
5713 1
2.4%
5082 1
2.4%
4468 1
2.4%
4424 1
2.4%
4336 1
2.4%
4145 1
2.4%
4041 1
2.4%
3602 1
2.4%

2014-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2594.0976
Minimum786
Maximum7526
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:52.907249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum786
5-th percentile1050
Q11515
median2078
Q32827
95-th percentile5708
Maximum7526
Range6740
Interquartile range (IQR)1312

Descriptive statistics

Standard deviation1538.4853
Coefficient of variation (CV)0.5930715
Kurtosis1.5950249
Mean2594.0976
Median Absolute Deviation (MAD)749
Skewness1.3570626
Sum106358
Variance2366937.1
MonotonicityNot monotonic
2023-12-12T09:13:53.030794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2533 1
 
2.4%
2177 1
 
2.4%
2276 1
 
2.4%
2131 1
 
2.4%
2064 1
 
2.4%
2330 1
 
2.4%
2008 1
 
2.4%
2051 1
 
2.4%
1515 1
 
2.4%
2072 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
786 1
2.4%
1030 1
2.4%
1050 1
2.4%
1076 1
2.4%
1087 1
2.4%
1187 1
2.4%
1208 1
2.4%
1265 1
2.4%
1270 1
2.4%
1303 1
2.4%
ValueCountFrequency (%)
7526 1
2.4%
5821 1
2.4%
5708 1
2.4%
5097 1
2.4%
4478 1
2.4%
4431 1
2.4%
4346 1
2.4%
4163 1
2.4%
4054 1
2.4%
3613 1
2.4%

2014-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2601
Minimum785
Maximum7559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:53.175634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum785
5-th percentile1050
Q11518
median2084
Q32839
95-th percentile5706
Maximum7559
Range6774
Interquartile range (IQR)1321

Descriptive statistics

Standard deviation1543.5731
Coefficient of variation (CV)0.5934537
Kurtosis1.6084074
Mean2601
Median Absolute Deviation (MAD)755
Skewness1.3580633
Sum106641
Variance2382617.9
MonotonicityNot monotonic
2023-12-12T09:13:53.333486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2541 1
 
2.4%
2182 1
 
2.4%
2286 1
 
2.4%
2133 1
 
2.4%
2066 1
 
2.4%
2331 1
 
2.4%
2011 1
 
2.4%
2063 1
 
2.4%
1518 1
 
2.4%
2071 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
785 1
2.4%
1029 1
2.4%
1050 1
2.4%
1076 1
2.4%
1092 1
2.4%
1193 1
2.4%
1211 1
2.4%
1265 1
2.4%
1274 1
2.4%
1306 1
2.4%
ValueCountFrequency (%)
7559 1
2.4%
5841 1
2.4%
5706 1
2.4%
5111 1
2.4%
4488 1
2.4%
4438 1
2.4%
4354 1
2.4%
4187 1
2.4%
4065 1
2.4%
3626 1
2.4%

2014-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602.3171
Minimum785
Maximum7561
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:53.474162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum785
5-th percentile1049
Q11521
median2088
Q32839
95-th percentile5705
Maximum7561
Range6776
Interquartile range (IQR)1318

Descriptive statistics

Standard deviation1543.1109
Coefficient of variation (CV)0.59297573
Kurtosis1.6118753
Mean2602.3171
Median Absolute Deviation (MAD)751
Skewness1.3582306
Sum106695
Variance2381191.2
MonotonicityNot monotonic
2023-12-12T09:13:53.599556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2543 1
 
2.4%
2187 1
 
2.4%
2290 1
 
2.4%
2135 1
 
2.4%
2069 1
 
2.4%
2332 1
 
2.4%
2011 1
 
2.4%
2075 1
 
2.4%
1521 1
 
2.4%
2070 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
785 1
2.4%
1028 1
2.4%
1049 1
2.4%
1076 1
2.4%
1097 1
2.4%
1198 1
2.4%
1213 1
2.4%
1263 1
2.4%
1275 1
2.4%
1309 1
2.4%
ValueCountFrequency (%)
7561 1
2.4%
5839 1
2.4%
5705 1
2.4%
5112 1
2.4%
4482 1
2.4%
4442 1
2.4%
4358 1
2.4%
4187 1
2.4%
4069 1
2.4%
3626 1
2.4%

2014-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602
Minimum784
Maximum7552
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:53.757486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum784
5-th percentile1048
Q11522
median2091
Q32836
95-th percentile5703
Maximum7552
Range6768
Interquartile range (IQR)1314

Descriptive statistics

Standard deviation1541.0245
Coefficient of variation (CV)0.59224614
Kurtosis1.607958
Mean2602
Median Absolute Deviation (MAD)745
Skewness1.3569482
Sum106682
Variance2374756.4
MonotonicityNot monotonic
2023-12-12T09:13:53.924121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2543 1
 
2.4%
2193 1
 
2.4%
2292 1
 
2.4%
2137 1
 
2.4%
2072 1
 
2.4%
2333 1
 
2.4%
2011 1
 
2.4%
2084 1
 
2.4%
1522 1
 
2.4%
2067 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
784 1
2.4%
1029 1
2.4%
1048 1
2.4%
1076 1
2.4%
1101 1
2.4%
1201 1
2.4%
1215 1
2.4%
1259 1
2.4%
1275 1
2.4%
1311 1
2.4%
ValueCountFrequency (%)
7552 1
2.4%
5832 1
2.4%
5703 1
2.4%
5108 1
2.4%
4477 1
2.4%
4443 1
2.4%
4357 1
2.4%
4185 1
2.4%
4067 1
2.4%
3623 1
2.4%

2014-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2601.9512
Minimum782
Maximum7549
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:54.083186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum782
5-th percentile1047
Q11523
median2093
Q32835
95-th percentile5701
Maximum7549
Range6767
Interquartile range (IQR)1312

Descriptive statistics

Standard deviation1539.6452
Coefficient of variation (CV)0.59172716
Kurtosis1.6105537
Mean2601.9512
Median Absolute Deviation (MAD)742
Skewness1.3562651
Sum106680
Variance2370507.4
MonotonicityNot monotonic
2023-12-12T09:13:54.206134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2543 1
 
2.4%
2202 1
 
2.4%
2292 1
 
2.4%
2139 1
 
2.4%
2075 1
 
2.4%
2335 1
 
2.4%
2011 1
 
2.4%
2089 1
 
2.4%
1523 1
 
2.4%
2065 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
782 1
2.4%
1027 1
2.4%
1047 1
2.4%
1075 1
2.4%
1103 1
2.4%
1205 1
2.4%
1216 1
2.4%
1256 1
2.4%
1275 1
2.4%
1313 1
2.4%
ValueCountFrequency (%)
7549 1
2.4%
5827 1
2.4%
5701 1
2.4%
5104 1
2.4%
4470 1
2.4%
4443 1
2.4%
4355 1
2.4%
4182 1
2.4%
4066 1
2.4%
3622 1
2.4%

2014-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602.7073
Minimum780
Maximum7556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:54.327926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum780
5-th percentile1045
Q11525
median2096
Q32835
95-th percentile5701
Maximum7556
Range6776
Interquartile range (IQR)1310

Descriptive statistics

Standard deviation1539.5512
Coefficient of variation (CV)0.59151914
Kurtosis1.6255795
Mean2602.7073
Median Absolute Deviation (MAD)739
Skewness1.3584421
Sum106711
Variance2370217.9
MonotonicityNot monotonic
2023-12-12T09:13:54.464664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2543 1
 
2.4%
2211 1
 
2.4%
2292 1
 
2.4%
2142 1
 
2.4%
2079 1
 
2.4%
2339 1
 
2.4%
2011 1
 
2.4%
2094 1
 
2.4%
1525 1
 
2.4%
2064 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
780 1
2.4%
1027 1
2.4%
1045 1
2.4%
1075 1
2.4%
1105 1
2.4%
1209 1
2.4%
1218 1
2.4%
1251 1
2.4%
1275 1
2.4%
1317 1
2.4%
ValueCountFrequency (%)
7556 1
2.4%
5828 1
2.4%
5701 1
2.4%
5104 1
2.4%
4467 1
2.4%
4441 1
2.4%
4352 1
2.4%
4182 1
2.4%
4062 1
2.4%
3621 1
2.4%

2014-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2605.561
Minimum779
Maximum7581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:54.597186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum779
5-th percentile1044
Q11527
median2101
Q32840
95-th percentile5700
Maximum7581
Range6802
Interquartile range (IQR)1313

Descriptive statistics

Standard deviation1542.0779
Coefficient of variation (CV)0.59184101
Kurtosis1.653691
Mean2605.561
Median Absolute Deviation (MAD)739
Skewness1.3629464
Sum106828
Variance2378004.1
MonotonicityNot monotonic
2023-12-12T09:13:54.757185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2546 1
 
2.4%
2218 1
 
2.4%
2294 1
 
2.4%
2144 1
 
2.4%
2081 1
 
2.4%
2342 1
 
2.4%
2012 1
 
2.4%
2101 1
 
2.4%
1527 1
 
2.4%
2065 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
779 1
2.4%
1029 1
2.4%
1044 1
2.4%
1075 1
2.4%
1108 1
2.4%
1211 1
2.4%
1220 1
2.4%
1246 1
2.4%
1275 1
2.4%
1319 1
2.4%
ValueCountFrequency (%)
7581 1
2.4%
5838 1
2.4%
5700 1
2.4%
5109 1
2.4%
4465 1
2.4%
4444 1
2.4%
4352 1
2.4%
4189 1
2.4%
4061 1
2.4%
3626 1
2.4%

2014-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2613.6098
Minimum779
Maximum7628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:54.899825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum779
5-th percentile1045
Q11530
median2112
Q32858
95-th percentile5703
Maximum7628
Range6849
Interquartile range (IQR)1328

Descriptive statistics

Standard deviation1549.1865
Coefficient of variation (CV)0.59273827
Kurtosis1.6832133
Mean2613.6098
Median Absolute Deviation (MAD)746
Skewness1.3671937
Sum107158
Variance2399978.9
MonotonicityNot monotonic
2023-12-12T09:13:55.027779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2555 1
 
2.4%
2225 1
 
2.4%
2300 1
 
2.4%
2148 1
 
2.4%
2085 1
 
2.4%
2346 1
 
2.4%
2015 1
 
2.4%
2112 1
 
2.4%
1530 1
 
2.4%
2068 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
779 1
2.4%
1031 1
2.4%
1045 1
2.4%
1075 1
2.4%
1111 1
2.4%
1213 1
2.4%
1223 1
2.4%
1243 1
2.4%
1277 1
2.4%
1323 1
2.4%
ValueCountFrequency (%)
7628 1
2.4%
5866 1
2.4%
5703 1
2.4%
5127 1
2.4%
4479 1
2.4%
4453 1
2.4%
4359 1
2.4%
4210 1
2.4%
4068 1
2.4%
3640 1
2.4%

2014-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2621.561
Minimum779
Maximum7659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:55.176301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum779
5-th percentile1045
Q11533
median2123
Q32870
95-th percentile5711
Maximum7659
Range6880
Interquartile range (IQR)1337

Descriptive statistics

Standard deviation1554.6776
Coefficient of variation (CV)0.59303507
Kurtosis1.6922315
Mean2621.561
Median Absolute Deviation (MAD)747
Skewness1.3682501
Sum107484
Variance2417022.5
MonotonicityNot monotonic
2023-12-12T09:13:55.302244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2563 1
 
2.4%
2231 1
 
2.4%
2306 1
 
2.4%
2152 1
 
2.4%
2091 1
 
2.4%
2350 1
 
2.4%
2019 1
 
2.4%
2123 1
 
2.4%
1533 1
 
2.4%
2072 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
779 1
2.4%
1034 1
2.4%
1045 1
2.4%
1076 1
2.4%
1115 1
2.4%
1218 1
2.4%
1226 1
2.4%
1246 1
2.4%
1279 1
2.4%
1329 1
2.4%
ValueCountFrequency (%)
7659 1
2.4%
5889 1
2.4%
5711 1
2.4%
5143 1
2.4%
4494 1
2.4%
4468 1
2.4%
4369 1
2.4%
4228 1
2.4%
4076 1
2.4%
3652 1
2.4%

2014-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2626.439
Minimum779
Maximum7659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:55.432609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum779
5-th percentile1045
Q11537
median2138
Q32880
95-th percentile5717
Maximum7659
Range6880
Interquartile range (IQR)1343

Descriptive statistics

Standard deviation1555.0921
Coefficient of variation (CV)0.59209144
Kurtosis1.676691
Mean2626.439
Median Absolute Deviation (MAD)742
Skewness1.3639857
Sum107684
Variance2418311.4
MonotonicityNot monotonic
2023-12-12T09:13:55.596158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2568 1
 
2.4%
2237 1
 
2.4%
2311 1
 
2.4%
2156 1
 
2.4%
2096 1
 
2.4%
2354 1
 
2.4%
2022 1
 
2.4%
2138 1
 
2.4%
1537 1
 
2.4%
2073 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
779 1
2.4%
1037 1
2.4%
1045 1
2.4%
1078 1
2.4%
1119 1
2.4%
1221 1
2.4%
1230 1
2.4%
1246 1
2.4%
1287 1
2.4%
1335 1
2.4%
ValueCountFrequency (%)
7659 1
2.4%
5892 1
2.4%
5717 1
2.4%
5148 1
2.4%
4499 1
2.4%
4474 1
2.4%
4376 1
2.4%
4238 1
2.4%
4084 1
2.4%
3658 1
2.4%

2014-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2629.2439
Minimum778
Maximum7649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:55.749869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum778
5-th percentile1046
Q11542
median2154
Q32888
95-th percentile5709
Maximum7649
Range6871
Interquartile range (IQR)1346

Descriptive statistics

Standard deviation1552.9074
Coefficient of variation (CV)0.59062889
Kurtosis1.6599251
Mean2629.2439
Median Absolute Deviation (MAD)734
Skewness1.3587661
Sum107799
Variance2411521.4
MonotonicityNot monotonic
2023-12-12T09:13:55.876617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2572 1
 
2.4%
2243 1
 
2.4%
2313 1
 
2.4%
2160 1
 
2.4%
2101 1
 
2.4%
2358 1
 
2.4%
2024 1
 
2.4%
2154 1
 
2.4%
1542 1
 
2.4%
2072 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
778 1
2.4%
1044 1
2.4%
1046 1
2.4%
1079 1
2.4%
1123 1
2.4%
1224 1
2.4%
1233 1
2.4%
1246 1
2.4%
1288 1
2.4%
1340 1
2.4%
ValueCountFrequency (%)
7649 1
2.4%
5888 1
2.4%
5709 1
2.4%
5147 1
2.4%
4500 1
2.4%
4476 1
2.4%
4378 1
2.4%
4246 1
2.4%
4087 1
2.4%
3660 1
2.4%

2015-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2636.8537
Minimum810
Maximum7620
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:55.995366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum810
5-th percentile1079
Q11551
median2172
Q32897
95-th percentile5719
Maximum7620
Range6810
Interquartile range (IQR)1346

Descriptive statistics

Standard deviation1538.459
Coefficient of variation (CV)0.58344499
Kurtosis1.7019398
Mean2636.8537
Median Absolute Deviation (MAD)725
Skewness1.3732523
Sum108111
Variance2366856.2
MonotonicityNot monotonic
2023-12-12T09:13:56.114896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2570 1
 
2.4%
2255 1
 
2.4%
2328 1
 
2.4%
2173 1
 
2.4%
2108 1
 
2.4%
2366 1
 
2.4%
2051 1
 
2.4%
2172 1
 
2.4%
1551 1
 
2.4%
2077 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
810 1
2.4%
1057 1
2.4%
1079 1
2.4%
1106 1
2.4%
1136 1
2.4%
1236 1
2.4%
1248 1
2.4%
1265 1
2.4%
1336 1
2.4%
1444 1
2.4%
ValueCountFrequency (%)
7620 1
2.4%
5870 1
2.4%
5719 1
2.4%
5138 1
2.4%
4484 1
2.4%
4447 1
2.4%
4357 1
2.4%
4258 1
2.4%
4072 1
2.4%
3641 1
2.4%

2015-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2643.6829
Minimum809
Maximum7656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:56.524436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum809
5-th percentile1080
Q11556
median2178
Q32909
95-th percentile5725
Maximum7656
Range6847
Interquartile range (IQR)1353

Descriptive statistics

Standard deviation1543.6297
Coefficient of variation (CV)0.58389367
Kurtosis1.7254876
Mean2643.6829
Median Absolute Deviation (MAD)731
Skewness1.3765415
Sum108391
Variance2382792.7
MonotonicityNot monotonic
2023-12-12T09:13:56.619547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2577 1
 
2.4%
2260 1
 
2.4%
2333 1
 
2.4%
2178 1
 
2.4%
2114 1
 
2.4%
2372 1
 
2.4%
2052 1
 
2.4%
2184 1
 
2.4%
1556 1
 
2.4%
2078 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
809 1
2.4%
1057 1
2.4%
1080 1
2.4%
1112 1
2.4%
1139 1
2.4%
1237 1
2.4%
1250 1
2.4%
1268 1
2.4%
1339 1
2.4%
1445 1
2.4%
ValueCountFrequency (%)
7656 1
2.4%
5889 1
2.4%
5725 1
2.4%
5152 1
2.4%
4490 1
2.4%
4451 1
2.4%
4366 1
2.4%
4273 1
2.4%
4083 1
2.4%
3652 1
2.4%

2015-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2653.7805
Minimum809
Maximum7720
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:56.726273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum809
5-th percentile1082
Q11566
median2185
Q32919
95-th percentile5735
Maximum7720
Range6911
Interquartile range (IQR)1353

Descriptive statistics

Standard deviation1552.7271
Coefficient of variation (CV)0.58510006
Kurtosis1.7758315
Mean2653.7805
Median Absolute Deviation (MAD)734
Skewness1.3853478
Sum108805
Variance2410961.5
MonotonicityNot monotonic
2023-12-12T09:13:56.834715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2588 1
 
2.4%
2264 1
 
2.4%
2343 1
 
2.4%
2185 1
 
2.4%
2121 1
 
2.4%
2381 1
 
2.4%
2057 1
 
2.4%
2197 1
 
2.4%
1566 1
 
2.4%
2080 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
809 1
2.4%
1057 1
2.4%
1082 1
2.4%
1118 1
2.4%
1144 1
2.4%
1239 1
2.4%
1252 1
2.4%
1271 1
2.4%
1344 1
2.4%
1445 1
2.4%
ValueCountFrequency (%)
7720 1
2.4%
5923 1
2.4%
5735 1
2.4%
5176 1
2.4%
4500 1
2.4%
4457 1
2.4%
4379 1
2.4%
4295 1
2.4%
4099 1
2.4%
3668 1
2.4%

2015-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2668.3415
Minimum810
Maximum7788
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:56.940385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum810
5-th percentile1085
Q11588
median2195
Q32933
95-th percentile5746
Maximum7788
Range6978
Interquartile range (IQR)1345

Descriptive statistics

Standard deviation1563.416
Coefficient of variation (CV)0.58591303
Kurtosis1.8111283
Mean2668.3415
Median Absolute Deviation (MAD)738
Skewness1.3899967
Sum109402
Variance2444269.7
MonotonicityNot monotonic
2023-12-12T09:13:57.046427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2603 1
 
2.4%
2273 1
 
2.4%
2357 1
 
2.4%
2195 1
 
2.4%
2132 1
 
2.4%
2395 1
 
2.4%
2062 1
 
2.4%
2221 1
 
2.4%
1588 1
 
2.4%
2080 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
810 1
2.4%
1058 1
2.4%
1085 1
2.4%
1125 1
2.4%
1149 1
2.4%
1241 1
2.4%
1256 1
2.4%
1276 1
2.4%
1349 1
2.4%
1445 1
2.4%
ValueCountFrequency (%)
7788 1
2.4%
5966 1
2.4%
5746 1
2.4%
5206 1
2.4%
4523 1
2.4%
4469 1
2.4%
4396 1
2.4%
4332 1
2.4%
4119 1
2.4%
3692 1
2.4%

2015-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2680.1463
Minimum810
Maximum7847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:57.152231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum810
5-th percentile1088
Q11595
median2203
Q32948
95-th percentile5757
Maximum7847
Range7037
Interquartile range (IQR)1353

Descriptive statistics

Standard deviation1573.314
Coefficient of variation (CV)0.58702541
Kurtosis1.8409569
Mean2680.1463
Median Absolute Deviation (MAD)745
Skewness1.3941826
Sum109886
Variance2475317
MonotonicityNot monotonic
2023-12-12T09:13:57.258006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2615 1
 
2.4%
2281 1
 
2.4%
2368 1
 
2.4%
2203 1
 
2.4%
2140 1
 
2.4%
2406 1
 
2.4%
2067 1
 
2.4%
2241 1
 
2.4%
1599 1
 
2.4%
2081 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
810 1
2.4%
1058 1
2.4%
1088 1
2.4%
1131 1
2.4%
1152 1
2.4%
1243 1
2.4%
1258 1
2.4%
1279 1
2.4%
1351 1
2.4%
1444 1
2.4%
ValueCountFrequency (%)
7847 1
2.4%
6006 1
2.4%
5757 1
2.4%
5234 1
2.4%
4549 1
2.4%
4477 1
2.4%
4409 1
2.4%
4356 1
2.4%
4135 1
2.4%
3712 1
2.4%

2015-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2693.4146
Minimum811
Maximum7912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:57.374982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum811
5-th percentile1091
Q11601
median2214
Q32962
95-th percentile5773
Maximum7912
Range7101
Interquartile range (IQR)1361

Descriptive statistics

Standard deviation1584.2435
Coefficient of variation (CV)0.58819147
Kurtosis1.8741859
Mean2693.4146
Median Absolute Deviation (MAD)748
Skewness1.3990388
Sum110430
Variance2509827.5
MonotonicityNot monotonic
2023-12-12T09:13:57.478267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2629 1
 
2.4%
2291 1
 
2.4%
2379 1
 
2.4%
2214 1
 
2.4%
2152 1
 
2.4%
2419 1
 
2.4%
2072 1
 
2.4%
2265 1
 
2.4%
1612 1
 
2.4%
2081 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
811 1
2.4%
1057 1
2.4%
1091 1
2.4%
1137 1
2.4%
1157 1
2.4%
1243 1
2.4%
1261 1
2.4%
1283 1
2.4%
1352 1
2.4%
1445 1
2.4%
ValueCountFrequency (%)
7912 1
2.4%
6049 1
2.4%
5773 1
2.4%
5265 1
2.4%
4574 1
2.4%
4493 1
2.4%
4427 1
2.4%
4376 1
2.4%
4154 1
2.4%
3733 1
2.4%

2015-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2789.5366
Minimum890
Maximum8296
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:57.584348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum890
5-th percentile1191
Q11861
median2306
Q33063
95-th percentile5882
Maximum8296
Range7406
Interquartile range (IQR)1202

Descriptive statistics

Standard deviation1585.685
Coefficient of variation (CV)0.5684403
Kurtosis2.6584983
Mean2789.5366
Median Absolute Deviation (MAD)706
Skewness1.5466363
Sum114371
Variance2514397
MonotonicityNot monotonic
2023-12-12T09:13:57.706146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2706 1
 
2.4%
2434 1
 
2.4%
2407 1
 
2.4%
2306 1
 
2.4%
2253 1
 
2.4%
2536 1
 
2.4%
2125 1
 
2.4%
2442 1
 
2.4%
1908 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
890 1
2.4%
1129 1
2.4%
1191 1
2.4%
1193 1
2.4%
1272 1
2.4%
1339 1
2.4%
1340 1
2.4%
1420 1
2.4%
1447 1
2.4%
1715 1
2.4%
ValueCountFrequency (%)
8296 1
2.4%
6218 1
2.4%
5882 1
2.4%
5321 1
2.4%
4600 1
2.4%
4514 1
2.4%
4373 1
2.4%
4200 1
2.4%
4136 1
2.4%
3802 1
2.4%

2015-08
Real number (ℝ)

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2799.3415
Minimum891
Maximum8348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:57.840950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum891
5-th percentile1195
Q11862
median2311
Q33074
95-th percentile5893
Maximum8348
Range7457
Interquartile range (IQR)1212

Descriptive statistics

Standard deviation1594.2101
Coefficient of variation (CV)0.56949468
Kurtosis2.6892096
Mean2799.3415
Median Absolute Deviation (MAD)713
Skewness1.5518977
Sum114773
Variance2541505.8
MonotonicityNot monotonic
2023-12-12T09:13:57.963346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1342 2
 
4.9%
1195 2
 
4.9%
2716 1
 
2.4%
2440 1
 
2.4%
2311 1
 
2.4%
2260 1
 
2.4%
2542 1
 
2.4%
2126 1
 
2.4%
2461 1
 
2.4%
1915 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
891 1
2.4%
1130 1
2.4%
1195 2
4.9%
1272 1
2.4%
1342 2
4.9%
1426 1
2.4%
1458 1
2.4%
1719 1
2.4%
1862 1
2.4%
1915 1
2.4%
ValueCountFrequency (%)
8348 1
2.4%
6249 1
2.4%
5893 1
2.4%
5345 1
2.4%
4614 1
2.4%
4532 1
2.4%
4390 1
2.4%
4220 1
2.4%
4146 1
2.4%
3818 1
2.4%

2015-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2810.5366
Minimum893
Maximum8398
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:58.087566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum893
5-th percentile1198
Q11865
median2319
Q33086
95-th percentile5903
Maximum8398
Range7505
Interquartile range (IQR)1221

Descriptive statistics

Standard deviation1603.1052
Coefficient of variation (CV)0.57039116
Kurtosis2.7060563
Mean2810.5366
Median Absolute Deviation (MAD)717
Skewness1.554277
Sum115232
Variance2569946.4
MonotonicityNot monotonic
2023-12-12T09:13:58.200399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2727 1
 
2.4%
2449 1
 
2.4%
2421 1
 
2.4%
2319 1
 
2.4%
2269 1
 
2.4%
2553 1
 
2.4%
2128 1
 
2.4%
2486 1
 
2.4%
1916 1
 
2.4%
2116 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
893 1
2.4%
1132 1
2.4%
1198 1
2.4%
1201 1
2.4%
1272 1
2.4%
1345 1
2.4%
1346 1
2.4%
1427 1
2.4%
1470 1
2.4%
1725 1
2.4%
ValueCountFrequency (%)
8398 1
2.4%
6283 1
2.4%
5903 1
2.4%
5372 1
2.4%
4636 1
2.4%
4550 1
2.4%
4410 1
2.4%
4244 1
2.4%
4160 1
2.4%
3835 1
2.4%

2015-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2822.5366
Minimum894
Maximum8445
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:58.320705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum894
5-th percentile1202
Q11868
median2330
Q33098
95-th percentile5917
Maximum8445
Range7551
Interquartile range (IQR)1230

Descriptive statistics

Standard deviation1612.0641
Coefficient of variation (CV)0.57114021
Kurtosis2.7110002
Mean2822.5366
Median Absolute Deviation (MAD)722
Skewness1.553575
Sum115724
Variance2598750.8
MonotonicityNot monotonic
2023-12-12T09:13:58.442635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2739 1
 
2.4%
2459 1
 
2.4%
2427 1
 
2.4%
2330 1
 
2.4%
2280 1
 
2.4%
2571 1
 
2.4%
2131 1
 
2.4%
2505 1
 
2.4%
1924 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
894 1
2.4%
1134 1
2.4%
1202 1
2.4%
1203 1
2.4%
1271 1
2.4%
1347 1
2.4%
1350 1
2.4%
1427 1
2.4%
1480 1
2.4%
1731 1
2.4%
ValueCountFrequency (%)
8445 1
2.4%
6315 1
2.4%
5917 1
2.4%
5399 1
2.4%
4656 1
2.4%
4572 1
2.4%
4432 1
2.4%
4270 1
2.4%
4176 1
2.4%
3854 1
2.4%

2015-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2830.1951
Minimum896
Maximum8403
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:58.559026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum896
5-th percentile1204
Q11870
median2343
Q33108
95-th percentile5931
Maximum8403
Range7507
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation1609.9784
Coefficient of variation (CV)0.56885775
Kurtosis2.5937082
Mean2830.1951
Median Absolute Deviation (MAD)720
Skewness1.5297089
Sum116038
Variance2592030.6
MonotonicityNot monotonic
2023-12-12T09:13:58.673722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2746 1
 
2.4%
2467 1
 
2.4%
2434 1
 
2.4%
2343 1
 
2.4%
2291 1
 
2.4%
2591 1
 
2.4%
2138 1
 
2.4%
2517 1
 
2.4%
1934 1
 
2.4%
2120 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
896 1
2.4%
1135 1
2.4%
1204 1
2.4%
1207 1
2.4%
1272 1
2.4%
1349 1
2.4%
1354 1
2.4%
1426 1
2.4%
1499 1
2.4%
1736 1
2.4%
ValueCountFrequency (%)
8403 1
2.4%
6311 1
2.4%
5931 1
2.4%
5407 1
2.4%
4681 1
2.4%
4587 1
2.4%
4452 1
2.4%
4294 1
2.4%
4189 1
2.4%
3863 1
2.4%

2015-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2836.6829
Minimum898
Maximum8428
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:58.803101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum898
5-th percentile1203
Q11873
median2349
Q33112
95-th percentile5937
Maximum8428
Range7530
Interquartile range (IQR)1239

Descriptive statistics

Standard deviation1614.52
Coefficient of variation (CV)0.56915774
Kurtosis2.6019474
Mean2836.6829
Median Absolute Deviation (MAD)720
Skewness1.5317517
Sum116304
Variance2606675
MonotonicityNot monotonic
2023-12-12T09:13:58.932667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2752 1
 
2.4%
2474 1
 
2.4%
2439 1
 
2.4%
2349 1
 
2.4%
2297 1
 
2.4%
2599 1
 
2.4%
2141 1
 
2.4%
2517 1
 
2.4%
1940 1
 
2.4%
2119 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
898 1
2.4%
1136 1
2.4%
1203 1
2.4%
1209 1
2.4%
1270 1
2.4%
1351 1
2.4%
1356 1
2.4%
1425 1
2.4%
1533 1
2.4%
1739 1
2.4%
ValueCountFrequency (%)
8428 1
2.4%
6333 1
2.4%
5937 1
2.4%
5423 1
2.4%
4702 1
2.4%
4594 1
2.4%
4461 1
2.4%
4304 1
2.4%
4196 1
2.4%
3873 1
2.4%

2016-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2838.0732
Minimum900
Maximum8416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:59.052727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum900
5-th percentile1201
Q11872
median2350
Q33114
95-th percentile5941
Maximum8416
Range7516
Interquartile range (IQR)1242

Descriptive statistics

Standard deviation1613.1926
Coefficient of variation (CV)0.5684112
Kurtosis2.5799077
Mean2838.0732
Median Absolute Deviation (MAD)720
Skewness1.528012
Sum116361
Variance2602390.3
MonotonicityNot monotonic
2023-12-12T09:13:59.187869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2753 1
 
2.4%
2480 1
 
2.4%
2440 1
 
2.4%
2350 1
 
2.4%
2299 1
 
2.4%
2601 1
 
2.4%
2141 1
 
2.4%
2513 1
 
2.4%
1941 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
900 1
2.4%
1136 1
2.4%
1201 1
2.4%
1211 1
2.4%
1268 1
2.4%
1352 1
2.4%
1357 1
2.4%
1423 1
2.4%
1567 1
2.4%
1739 1
2.4%
ValueCountFrequency (%)
8416 1
2.4%
6331 1
2.4%
5941 1
2.4%
5423 1
2.4%
4708 1
2.4%
4596 1
2.4%
4463 1
2.4%
4305 1
2.4%
4200 1
2.4%
3873 1
2.4%

2016-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2836.5854
Minimum901
Maximum8363
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:59.302432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum901
5-th percentile1199
Q11872
median2352
Q33115
95-th percentile5942
Maximum8363
Range7462
Interquartile range (IQR)1243

Descriptive statistics

Standard deviation1606.6088
Coefficient of variation (CV)0.5663883
Kurtosis2.5030609
Mean2836.5854
Median Absolute Deviation (MAD)718
Skewness1.5127255
Sum116300
Variance2581191.7
MonotonicityNot monotonic
2023-12-12T09:13:59.423897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2751 1
 
2.4%
2485 1
 
2.4%
2439 1
 
2.4%
2352 1
 
2.4%
2301 1
 
2.4%
2602 1
 
2.4%
2142 1
 
2.4%
2507 1
 
2.4%
1941 1
 
2.4%
2116 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
901 1
2.4%
1136 1
2.4%
1199 1
2.4%
1212 1
2.4%
1264 1
2.4%
1352 1
2.4%
1358 1
2.4%
1422 1
2.4%
1590 1
2.4%
1739 1
2.4%
ValueCountFrequency (%)
8363 1
2.4%
6307 1
2.4%
5942 1
2.4%
5412 1
2.4%
4706 1
2.4%
4595 1
2.4%
4466 1
2.4%
4309 1
2.4%
4203 1
2.4%
3869 1
2.4%

2016-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2836.5366
Minimum901
Maximum8357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:59.542682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum901
5-th percentile1196
Q11869
median2354
Q33115
95-th percentile5945
Maximum8357
Range7456
Interquartile range (IQR)1246

Descriptive statistics

Standard deviation1606.2825
Coefficient of variation (CV)0.56628302
Kurtosis2.4907408
Mean2836.5366
Median Absolute Deviation (MAD)716
Skewness1.5101905
Sum116298
Variance2580143.5
MonotonicityNot monotonic
2023-12-12T09:13:59.662841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2750 1
 
2.4%
2488 1
 
2.4%
2440 1
 
2.4%
2354 1
 
2.4%
2303 1
 
2.4%
2606 1
 
2.4%
2143 1
 
2.4%
2499 1
 
2.4%
1942 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
901 1
2.4%
1135 1
2.4%
1196 1
2.4%
1213 1
2.4%
1261 1
2.4%
1350 1
2.4%
1358 1
2.4%
1420 1
2.4%
1599 1
2.4%
1738 1
2.4%
ValueCountFrequency (%)
8357 1
2.4%
6305 1
2.4%
5945 1
2.4%
5411 1
2.4%
4706 1
2.4%
4594 1
2.4%
4468 1
2.4%
4310 1
2.4%
4206 1
2.4%
3869 1
2.4%

2016-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2838.0488
Minimum902
Maximum8374
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:13:59.783738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum902
5-th percentile1193
Q11868
median2357
Q33114
95-th percentile5949
Maximum8374
Range7472
Interquartile range (IQR)1246

Descriptive statistics

Standard deviation1608.9257
Coefficient of variation (CV)0.56691265
Kurtosis2.5081949
Mean2838.0488
Median Absolute Deviation (MAD)713
Skewness1.5138973
Sum116360
Variance2588642
MonotonicityNot monotonic
2023-12-12T09:13:59.915245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2751 1
 
2.4%
2490 1
 
2.4%
2440 1
 
2.4%
2357 1
 
2.4%
2306 1
 
2.4%
2611 1
 
2.4%
2145 1
 
2.4%
2492 1
 
2.4%
1944 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
902 1
2.4%
1135 1
2.4%
1193 1
2.4%
1215 1
2.4%
1258 1
2.4%
1349 1
2.4%
1360 1
2.4%
1418 1
2.4%
1602 1
2.4%
1737 1
2.4%
ValueCountFrequency (%)
8374 1
2.4%
6314 1
2.4%
5949 1
2.4%
5417 1
2.4%
4709 1
2.4%
4596 1
2.4%
4471 1
2.4%
4312 1
2.4%
4209 1
2.4%
3871 1
2.4%

2016-05
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2840.9024
Minimum904
Maximum8408
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:00.076903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum904
5-th percentile1189
Q11866
median2360
Q33113
95-th percentile5955
Maximum8408
Range7504
Interquartile range (IQR)1247

Descriptive statistics

Standard deviation1614.271
Coefficient of variation (CV)0.56822473
Kurtosis2.541943
Mean2840.9024
Median Absolute Deviation (MAD)712
Skewness1.520914
Sum116477
Variance2605870.9
MonotonicityNot monotonic
2023-12-12T09:14:00.204715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2308 2
 
4.9%
2753 1
 
2.4%
1986 1
 
2.4%
2441 1
 
2.4%
2360 1
 
2.4%
2615 1
 
2.4%
2148 1
 
2.4%
2487 1
 
2.4%
1943 1
 
2.4%
2117 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
904 1
2.4%
1135 1
2.4%
1189 1
2.4%
1217 1
2.4%
1254 1
2.4%
1347 1
2.4%
1363 1
2.4%
1416 1
2.4%
1602 1
2.4%
1737 1
2.4%
ValueCountFrequency (%)
8408 1
2.4%
6332 1
2.4%
5955 1
2.4%
5429 1
2.4%
4715 1
2.4%
4600 1
2.4%
4475 1
2.4%
4315 1
2.4%
4216 1
2.4%
3877 1
2.4%

2016-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2843.1707
Minimum905
Maximum8412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:00.567114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum905
5-th percentile1185
Q11861
median2365
Q33113
95-th percentile5967
Maximum8412
Range7507
Interquartile range (IQR)1252

Descriptive statistics

Standard deviation1616.9256
Coefficient of variation (CV)0.56870506
Kurtosis2.5236068
Mean2843.1707
Median Absolute Deviation (MAD)711
Skewness1.5178575
Sum116570
Variance2614448.3
MonotonicityNot monotonic
2023-12-12T09:14:00.671165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2754 1
 
2.4%
2494 1
 
2.4%
2444 1
 
2.4%
2365 1
 
2.4%
2311 1
 
2.4%
2624 1
 
2.4%
2150 1
 
2.4%
2480 1
 
2.4%
1942 1
 
2.4%
2117 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
905 1
2.4%
1135 1
2.4%
1185 1
2.4%
1219 1
2.4%
1251 1
2.4%
1345 1
2.4%
1365 1
2.4%
1415 1
2.4%
1602 1
2.4%
1735 1
2.4%
ValueCountFrequency (%)
8412 1
2.4%
6340 1
2.4%
5967 1
2.4%
5435 1
2.4%
4726 1
2.4%
4611 1
2.4%
4480 1
2.4%
4318 1
2.4%
4221 1
2.4%
3881 1
2.4%

2016-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2848.2439
Minimum912
Maximum8452
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:00.770617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum912
5-th percentile1177
Q11859
median2371
Q33114
95-th percentile5994
Maximum8452
Range7540
Interquartile range (IQR)1255

Descriptive statistics

Standard deviation1625.3113
Coefficient of variation (CV)0.57063629
Kurtosis2.5432741
Mean2848.2439
Median Absolute Deviation (MAD)709
Skewness1.5233027
Sum116778
Variance2641636.9
MonotonicityNot monotonic
2023-12-12T09:14:00.875148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2758 1
 
2.4%
2488 1
 
2.4%
2447 1
 
2.4%
2371 1
 
2.4%
2316 1
 
2.4%
2635 1
 
2.4%
2153 1
 
2.4%
2476 1
 
2.4%
1940 1
 
2.4%
2118 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
912 1
2.4%
1135 1
2.4%
1177 1
2.4%
1219 1
2.4%
1248 1
2.4%
1343 1
2.4%
1366 1
2.4%
1410 1
2.4%
1602 1
2.4%
1734 1
2.4%
ValueCountFrequency (%)
8452 1
2.4%
6366 1
2.4%
5994 1
2.4%
5454 1
2.4%
4741 1
2.4%
4618 1
2.4%
4490 1
2.4%
4325 1
2.4%
4232 1
2.4%
3891 1
2.4%

2016-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2853.9268
Minimum913
Maximum8490
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:00.979595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum913
5-th percentile1173
Q11856
median2382
Q33116
95-th percentile6010
Maximum8490
Range7577
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation1633.4338
Coefficient of variation (CV)0.57234608
Kurtosis2.5549648
Mean2853.9268
Median Absolute Deviation (MAD)703
Skewness1.5261016
Sum117011
Variance2668106.1
MonotonicityNot monotonic
2023-12-12T09:14:01.083534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2763 1
 
2.4%
2485 1
 
2.4%
2452 1
 
2.4%
2382 1
 
2.4%
2328 1
 
2.4%
2651 1
 
2.4%
2156 1
 
2.4%
2469 1
 
2.4%
1939 1
 
2.4%
2119 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
913 1
2.4%
1135 1
2.4%
1173 1
2.4%
1220 1
2.4%
1245 1
2.4%
1341 1
2.4%
1367 1
2.4%
1407 1
2.4%
1598 1
2.4%
1734 1
2.4%
ValueCountFrequency (%)
8490 1
2.4%
6393 1
2.4%
6010 1
2.4%
5473 1
2.4%
4760 1
2.4%
4630 1
2.4%
4502 1
2.4%
4336 1
2.4%
4245 1
2.4%
3901 1
2.4%

2016-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2882.8293
Minimum932
Maximum8451
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:01.190858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum932
5-th percentile1169
Q11895
median2409
Q33126
95-th percentile6025
Maximum8451
Range7519
Interquartile range (IQR)1231

Descriptive statistics

Standard deviation1616.9358
Coefficient of variation (CV)0.56088503
Kurtosis2.5236578
Mean2882.8293
Median Absolute Deviation (MAD)651
Skewness1.5071168
Sum118196
Variance2614481.3
MonotonicityNot monotonic
2023-12-12T09:14:01.296767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2772 1
 
2.4%
2516 1
 
2.4%
2469 1
 
2.4%
2409 1
 
2.4%
2356 1
 
2.4%
2678 1
 
2.4%
2180 1
 
2.4%
2480 1
 
2.4%
1945 1
 
2.4%
2168 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
932 1
2.4%
1137 1
2.4%
1169 1
2.4%
1228 1
2.4%
1262 1
2.4%
1362 1
2.4%
1370 1
2.4%
1415 1
2.4%
1758 1
2.4%
1869 1
2.4%
ValueCountFrequency (%)
8451 1
2.4%
6357 1
2.4%
6025 1
2.4%
5459 1
2.4%
4791 1
2.4%
4621 1
2.4%
4517 1
2.4%
4340 1
2.4%
4297 1
2.4%
3895 1
2.4%

2016-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2892.561
Minimum933
Maximum8545
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:01.405194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum933
5-th percentile1167
Q11899
median2427
Q33129
95-th percentile6040
Maximum8545
Range7612
Interquartile range (IQR)1230

Descriptive statistics

Standard deviation1630.5344
Coefficient of variation (CV)0.56369922
Kurtosis2.6236278
Mean2892.561
Median Absolute Deviation (MAD)667
Skewness1.5261631
Sum118595
Variance2658642.4
MonotonicityNot monotonic
2023-12-12T09:14:01.505975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2780 1
 
2.4%
2519 1
 
2.4%
2473 1
 
2.4%
2427 1
 
2.4%
2370 1
 
2.4%
2702 1
 
2.4%
2194 1
 
2.4%
2479 1
 
2.4%
1946 1
 
2.4%
2169 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
933 1
2.4%
1137 1
2.4%
1167 1
2.4%
1231 1
2.4%
1260 1
2.4%
1361 1
2.4%
1372 1
2.4%
1414 1
2.4%
1760 1
2.4%
1866 1
2.4%
ValueCountFrequency (%)
8545 1
2.4%
6408 1
2.4%
6040 1
2.4%
5493 1
2.4%
4809 1
2.4%
4607 1
2.4%
4533 1
2.4%
4360 1
2.4%
4305 1
2.4%
3909 1
2.4%

2016-11
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2900.7317
Minimum935
Maximum8573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:01.613556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum935
5-th percentile1164
Q11906
median2445
Q33132
95-th percentile6055
Maximum8573
Range7638
Interquartile range (IQR)1226

Descriptive statistics

Standard deviation1637.1689
Coefficient of variation (CV)0.56439858
Kurtosis2.6156138
Mean2900.7317
Median Absolute Deviation (MAD)660
Skewness1.523794
Sum118930
Variance2680321.9
MonotonicityNot monotonic
2023-12-12T09:14:01.722522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2477 2
 
4.9%
2787 1
 
2.4%
3007 1
 
2.4%
2445 1
 
2.4%
2388 1
 
2.4%
2727 1
 
2.4%
2209 1
 
2.4%
1947 1
 
2.4%
2172 1
 
2.4%
2520 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
935 1
2.4%
1137 1
2.4%
1164 1
2.4%
1234 1
2.4%
1256 1
2.4%
1359 1
2.4%
1375 1
2.4%
1413 1
2.4%
1763 1
2.4%
1862 1
2.4%
ValueCountFrequency (%)
8573 1
2.4%
6434 1
2.4%
6055 1
2.4%
5514 1
2.4%
4833 1
2.4%
4612 1
2.4%
4549 1
2.4%
4378 1
2.4%
4317 1
2.4%
3921 1
2.4%

2016-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2903.1463
Minimum937
Maximum8559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:01.868545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum937
5-th percentile1160
Q11912
median2457
Q33132
95-th percentile6064
Maximum8559
Range7622
Interquartile range (IQR)1220

Descriptive statistics

Standard deviation1636.8614
Coefficient of variation (CV)0.56382325
Kurtosis2.5759598
Mean2903.1463
Median Absolute Deviation (MAD)650
Skewness1.5155789
Sum119029
Variance2679315.3
MonotonicityNot monotonic
2023-12-12T09:14:01.984161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2788 1
 
2.4%
2519 1
 
2.4%
2479 1
 
2.4%
2457 1
 
2.4%
2398 1
 
2.4%
2739 1
 
2.4%
2220 1
 
2.4%
2475 1
 
2.4%
1948 1
 
2.4%
2174 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
937 1
2.4%
1138 1
2.4%
1160 1
2.4%
1237 1
2.4%
1254 1
2.4%
1358 1
2.4%
1375 1
2.4%
1412 1
2.4%
1763 1
2.4%
1858 1
2.4%
ValueCountFrequency (%)
8559 1
2.4%
6433 1
2.4%
6064 1
2.4%
5517 1
2.4%
4842 1
2.4%
4614 1
2.4%
4556 1
2.4%
4384 1
2.4%
4325 1
2.4%
3923 1
2.4%

2017-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2904
Minimum938
Maximum8547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:02.097190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum938
5-th percentile1158
Q11916
median2463
Q33133
95-th percentile6072
Maximum8547
Range7609
Interquartile range (IQR)1217

Descriptive statistics

Standard deviation1636.2043
Coefficient of variation (CV)0.56343122
Kurtosis2.5497204
Mean2904
Median Absolute Deviation (MAD)644
Skewness1.510491
Sum119064
Variance2677164.4
MonotonicityNot monotonic
2023-12-12T09:14:02.210883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2789 1
 
2.4%
2516 1
 
2.4%
2478 1
 
2.4%
2463 1
 
2.4%
2404 1
 
2.4%
2744 1
 
2.4%
2228 1
 
2.4%
2473 1
 
2.4%
1950 1
 
2.4%
2177 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
938 1
2.4%
1139 1
2.4%
1158 1
2.4%
1239 1
2.4%
1252 1
2.4%
1357 1
2.4%
1375 1
2.4%
1411 1
2.4%
1764 1
2.4%
1855 1
2.4%
ValueCountFrequency (%)
8547 1
2.4%
6430 1
2.4%
6072 1
2.4%
5517 1
2.4%
4846 1
2.4%
4614 1
2.4%
4559 1
2.4%
4385 1
2.4%
4332 1
2.4%
3923 1
2.4%

2017-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2905.8293
Minimum939
Maximum8560
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:02.337921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum939
5-th percentile1156
Q11917
median2468
Q33134
95-th percentile6078
Maximum8560
Range7621
Interquartile range (IQR)1217

Descriptive statistics

Standard deviation1638.3168
Coefficient of variation (CV)0.56380353
Kurtosis2.5606362
Mean2905.8293
Median Absolute Deviation (MAD)640
Skewness1.5127303
Sum119139
Variance2684081.9
MonotonicityNot monotonic
2023-12-12T09:14:02.479916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2790 1
 
2.4%
2515 1
 
2.4%
2480 1
 
2.4%
2468 1
 
2.4%
2407 1
 
2.4%
2747 1
 
2.4%
2237 1
 
2.4%
2470 1
 
2.4%
1950 1
 
2.4%
2179 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
939 1
2.4%
1140 1
2.4%
1156 1
2.4%
1240 1
2.4%
1249 1
2.4%
1357 1
2.4%
1376 1
2.4%
1413 1
2.4%
1764 1
2.4%
1855 1
2.4%
ValueCountFrequency (%)
8560 1
2.4%
6437 1
2.4%
6078 1
2.4%
5522 1
2.4%
4849 1
2.4%
4618 1
2.4%
4561 1
2.4%
4385 1
2.4%
4336 1
2.4%
3925 1
2.4%

2017-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2910.7073
Minimum941
Maximum8626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:02.723694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum941
5-th percentile1153
Q11918
median2470
Q33136
95-th percentile6091
Maximum8626
Range7685
Interquartile range (IQR)1218

Descriptive statistics

Standard deviation1647.5696
Coefficient of variation (CV)0.56603752
Kurtosis2.6393452
Mean2910.7073
Median Absolute Deviation (MAD)640
Skewness1.5292249
Sum119339
Variance2714485.5
MonotonicityNot monotonic
2023-12-12T09:14:02.865356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2794 1
 
2.4%
2514 1
 
2.4%
2481 1
 
2.4%
2472 1
 
2.4%
2411 1
 
2.4%
2750 1
 
2.4%
2243 1
 
2.4%
2470 1
 
2.4%
1951 1
 
2.4%
2181 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
941 1
2.4%
1141 1
2.4%
1153 1
2.4%
1243 1
2.4%
1248 1
2.4%
1357 1
2.4%
1378 1
2.4%
1412 1
2.4%
1765 1
2.4%
1855 1
2.4%
ValueCountFrequency (%)
8626 1
2.4%
6470 1
2.4%
6091 1
2.4%
5540 1
2.4%
4856 1
2.4%
4622 1
2.4%
4565 1
2.4%
4387 1
2.4%
4343 1
2.4%
3933 1
2.4%

2017-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2915.8293
Minimum943
Maximum8652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:03.078440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum943
5-th percentile1150
Q11918
median2468
Q33138
95-th percentile6109
Maximum8652
Range7709
Interquartile range (IQR)1220

Descriptive statistics

Standard deviation1654.0277
Coefficient of variation (CV)0.56725809
Kurtosis2.6357915
Mean2915.8293
Median Absolute Deviation (MAD)645
Skewness1.5297545
Sum119549
Variance2735807.7
MonotonicityNot monotonic
2023-12-12T09:14:03.244869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2798 1
 
2.4%
2512 1
 
2.4%
2483 1
 
2.4%
2478 1
 
2.4%
2417 1
 
2.4%
2755 1
 
2.4%
2252 1
 
2.4%
2468 1
 
2.4%
1951 1
 
2.4%
2180 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
943 1
2.4%
1143 1
2.4%
1150 1
2.4%
1244 1
2.4%
1247 1
2.4%
1356 1
2.4%
1380 1
2.4%
1410 1
2.4%
1765 1
2.4%
1852 1
2.4%
ValueCountFrequency (%)
8652 1
2.4%
6490 1
2.4%
6109 1
2.4%
5557 1
2.4%
4872 1
2.4%
4627 1
2.4%
4579 1
2.4%
4394 1
2.4%
4370 1
2.4%
3941 1
2.4%

2017-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2923.2195
Minimum946
Maximum8693
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:03.376025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum946
5-th percentile1148
Q11916
median2464
Q33141
95-th percentile6129
Maximum8693
Range7747
Interquartile range (IQR)1225

Descriptive statistics

Standard deviation1662.6029
Coefficient of variation (CV)0.56875746
Kurtosis2.6471424
Mean2923.2195
Median Absolute Deviation (MAD)654
Skewness1.5328944
Sum119852
Variance2764248.4
MonotonicityNot monotonic
2023-12-12T09:14:03.515517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2804 1
 
2.4%
2509 1
 
2.4%
2485 1
 
2.4%
2488 1
 
2.4%
2427 1
 
2.4%
2765 1
 
2.4%
2262 1
 
2.4%
2464 1
 
2.4%
1953 1
 
2.4%
2181 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
946 1
2.4%
1145 1
2.4%
1148 1
2.4%
1242 1
2.4%
1251 1
2.4%
1355 1
2.4%
1381 1
2.4%
1408 1
2.4%
1766 1
2.4%
1848 1
2.4%
ValueCountFrequency (%)
8693 1
2.4%
6520 1
2.4%
6129 1
2.4%
5580 1
2.4%
4893 1
2.4%
4634 1
2.4%
4595 1
2.4%
4410 1
2.4%
4386 1
2.4%
3953 1
2.4%

2017-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2937.4146
Minimum948
Maximum8817
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:03.673751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum948
5-th percentile1147
Q11921
median2464
Q33144
95-th percentile6163
Maximum8817
Range7869
Interquartile range (IQR)1223

Descriptive statistics

Standard deviation1683.5799
Coefficient of variation (CV)0.57315024
Kurtosis2.747645
Mean2937.4146
Median Absolute Deviation (MAD)660
Skewness1.5542776
Sum120434
Variance2834441.2
MonotonicityNot monotonic
2023-12-12T09:14:03.825606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2815 1
 
2.4%
2506 1
 
2.4%
2488 1
 
2.4%
2498 1
 
2.4%
2438 1
 
2.4%
2774 1
 
2.4%
2270 1
 
2.4%
2464 1
 
2.4%
1953 1
 
2.4%
2181 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
948 1
2.4%
1146 1
2.4%
1147 1
2.4%
1239 1
2.4%
1253 1
2.4%
1354 1
2.4%
1382 1
2.4%
1406 1
2.4%
1767 1
2.4%
1843 1
2.4%
ValueCountFrequency (%)
8817 1
2.4%
6594 1
2.4%
6163 1
2.4%
5631 1
2.4%
4931 1
2.4%
4645 1
2.4%
4620 1
2.4%
4435 1
2.4%
4407 1
2.4%
3975 1
2.4%

2017-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2945.7805
Minimum950
Maximum8846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:03.953281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum950
5-th percentile1149
Q11925
median2465
Q33147
95-th percentile6193
Maximum8846
Range7896
Interquartile range (IQR)1222

Descriptive statistics

Standard deviation1692.2678
Coefficient of variation (CV)0.57447181
Kurtosis2.7219178
Mean2945.7805
Median Absolute Deviation (MAD)668
Skewness1.5503607
Sum120777
Variance2863770.5
MonotonicityNot monotonic
2023-12-12T09:14:04.080418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2822 1
 
2.4%
2503 1
 
2.4%
2492 1
 
2.4%
2505 1
 
2.4%
2445 1
 
2.4%
2782 1
 
2.4%
2275 1
 
2.4%
2465 1
 
2.4%
1955 1
 
2.4%
2183 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
950 1
2.4%
1144 1
2.4%
1149 1
2.4%
1238 1
2.4%
1255 1
2.4%
1352 1
2.4%
1383 1
2.4%
1404 1
2.4%
1767 1
2.4%
1837 1
2.4%
ValueCountFrequency (%)
8846 1
2.4%
6619 1
2.4%
6193 1
2.4%
5655 1
2.4%
4953 1
2.4%
4666 1
2.4%
4643 1
2.4%
4459 1
2.4%
4424 1
2.4%
3989 1
2.4%

2017-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2957.1707
Minimum953
Maximum8904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:04.219314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum953
5-th percentile1151
Q11933
median2481
Q33148
95-th percentile6223
Maximum8904
Range7951
Interquartile range (IQR)1215

Descriptive statistics

Standard deviation1705.2163
Coefficient of variation (CV)0.57663774
Kurtosis2.7250352
Mean2957.1707
Median Absolute Deviation (MAD)666
Skewness1.5518906
Sum121244
Variance2907762.5
MonotonicityNot monotonic
2023-12-12T09:14:04.366239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2832 1
 
2.4%
2499 1
 
2.4%
2501 1
 
2.4%
2510 1
 
2.4%
2451 1
 
2.4%
2788 1
 
2.4%
2279 1
 
2.4%
2481 1
 
2.4%
1958 1
 
2.4%
2189 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
953 1
2.4%
1142 1
2.4%
1151 1
2.4%
1235 1
2.4%
1258 1
2.4%
1351 1
2.4%
1383 1
2.4%
1402 1
2.4%
1769 1
2.4%
1828 1
2.4%
ValueCountFrequency (%)
8904 1
2.4%
6662 1
2.4%
6223 1
2.4%
5685 1
2.4%
4984 1
2.4%
4712 1
2.4%
4662 1
2.4%
4477 1
2.4%
4440 1
2.4%
4009 1
2.4%

2017-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2960.1951
Minimum955
Maximum8897
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:04.571904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum955
5-th percentile1153
Q11936
median2492
Q33155
95-th percentile6234
Maximum8897
Range7942
Interquartile range (IQR)1219

Descriptive statistics

Standard deviation1705.993
Coefficient of variation (CV)0.576311
Kurtosis2.6894143
Mean2960.1951
Median Absolute Deviation (MAD)663
Skewness1.5443602
Sum121368
Variance2910412.2
MonotonicityNot monotonic
2023-12-12T09:14:05.045155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2835 1
 
2.4%
2498 1
 
2.4%
2509 1
 
2.4%
2512 1
 
2.4%
2453 1
 
2.4%
2789 1
 
2.4%
2281 1
 
2.4%
2492 1
 
2.4%
1961 1
 
2.4%
2194 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
955 1
2.4%
1139 1
2.4%
1153 1
2.4%
1234 1
2.4%
1261 1
2.4%
1349 1
2.4%
1384 1
2.4%
1399 1
2.4%
1770 1
2.4%
1821 1
2.4%
ValueCountFrequency (%)
8897 1
2.4%
6660 1
2.4%
6234 1
2.4%
5687 1
2.4%
4986 1
2.4%
4740 1
2.4%
4667 1
2.4%
4479 1
2.4%
4448 1
2.4%
4014 1
2.4%

2017-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2965.561
Minimum958
Maximum8941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:05.205688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum958
5-th percentile1156
Q11938
median2495
Q33161
95-th percentile6245
Maximum8941
Range7983
Interquartile range (IQR)1223

Descriptive statistics

Standard deviation1713.5389
Coefficient of variation (CV)0.57781273
Kurtosis2.7197032
Mean2965.561
Median Absolute Deviation (MAD)666
Skewness1.551006
Sum121588
Variance2936215.5
MonotonicityNot monotonic
2023-12-12T09:14:05.336220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2840 1
 
2.4%
2495 1
 
2.4%
2514 1
 
2.4%
2512 1
 
2.4%
2453 1
 
2.4%
2788 1
 
2.4%
2282 1
 
2.4%
2500 1
 
2.4%
1965 1
 
2.4%
2199 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
958 1
2.4%
1136 1
2.4%
1156 1
2.4%
1233 1
2.4%
1265 1
2.4%
1348 1
2.4%
1387 1
2.4%
1398 1
2.4%
1770 1
2.4%
1813 1
2.4%
ValueCountFrequency (%)
8941 1
2.4%
6684 1
2.4%
6245 1
2.4%
5704 1
2.4%
4996 1
2.4%
4760 1
2.4%
4676 1
2.4%
4489 1
2.4%
4455 1
2.4%
4024 1
2.4%

2017-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2972.3171
Minimum960
Maximum8993
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:05.484475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum960
5-th percentile1158
Q11940
median2488
Q33168
95-th percentile6266
Maximum8993
Range8033
Interquartile range (IQR)1228

Descriptive statistics

Standard deviation1724.5653
Coefficient of variation (CV)0.58020905
Kurtosis2.7384091
Mean2972.3171
Median Absolute Deviation (MAD)680
Skewness1.5564704
Sum121865
Variance2974125.4
MonotonicityNot monotonic
2023-12-12T09:14:05.638892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2846 1
 
2.4%
2488 1
 
2.4%
2519 1
 
2.4%
2512 1
 
2.4%
2453 1
 
2.4%
2788 1
 
2.4%
2282 1
 
2.4%
2508 1
 
2.4%
1967 1
 
2.4%
2206 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
960 1
2.4%
1133 1
2.4%
1158 1
2.4%
1231 1
2.4%
1267 1
2.4%
1345 1
2.4%
1386 1
2.4%
1396 1
2.4%
1769 1
2.4%
1801 1
2.4%
ValueCountFrequency (%)
8993 1
2.4%
6721 1
2.4%
6266 1
2.4%
5729 1
2.4%
5021 1
2.4%
4780 1
2.4%
4690 1
2.4%
4502 1
2.4%
4469 1
2.4%
4038 1
2.4%

2017-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3394.4146
Minimum1061
Maximum10397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:05.813261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1061
5-th percentile1306
Q12203
median2810
Q33475
95-th percentile7506
Maximum10397
Range9336
Interquartile range (IQR)1272

Descriptive statistics

Standard deviation2048.7726
Coefficient of variation (CV)0.6035717
Kurtosis2.4184229
Mean3394.4146
Median Absolute Deviation (MAD)665
Skewness1.5038232
Sum139171
Variance4197469.1
MonotonicityNot monotonic
2023-12-12T09:14:05.974055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3208 1
 
2.4%
2740 1
 
2.4%
2810 1
 
2.4%
3018 1
 
2.4%
2903 1
 
2.4%
3475 1
 
2.4%
2682 1
 
2.4%
2792 1
 
2.4%
2213 1
 
2.4%
2321 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1061 1
2.4%
1206 1
2.4%
1306 1
2.4%
1316 1
2.4%
1320 1
2.4%
1450 1
2.4%
1453 1
2.4%
1460 1
2.4%
1821 1
2.4%
1968 1
2.4%
ValueCountFrequency (%)
10397 1
2.4%
7702 1
2.4%
7506 1
2.4%
6688 1
2.4%
5685 1
2.4%
5627 1
2.4%
5586 1
2.4%
5444 1
2.4%
5318 1
2.4%
4576 1
2.4%

2018-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3415.0244
Minimum1063
Maximum10699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:06.104569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1063
5-th percentile1307
Q12203
median2810
Q33469
95-th percentile7562
Maximum10699
Range9636
Interquartile range (IQR)1266

Descriptive statistics

Standard deviation2095.3295
Coefficient of variation (CV)0.61356209
Kurtosis2.6677671
Mean3415.0244
Median Absolute Deviation (MAD)659
Skewness1.5575526
Sum140016
Variance4390405.8
MonotonicityNot monotonic
2023-12-12T09:14:06.230294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3226 1
 
2.4%
2731 1
 
2.4%
2810 1
 
2.4%
3015 1
 
2.4%
2901 1
 
2.4%
3469 1
 
2.4%
2679 1
 
2.4%
2802 1
 
2.4%
2217 1
 
2.4%
2326 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1063 1
2.4%
1203 1
2.4%
1307 1
2.4%
1315 1
2.4%
1317 1
2.4%
1445 1
2.4%
1450 1
2.4%
1458 1
2.4%
1812 1
2.4%
1966 1
2.4%
ValueCountFrequency (%)
10699 1
2.4%
7858 1
2.4%
7562 1
2.4%
6784 1
2.4%
5733 1
2.4%
5659 1
2.4%
5616 1
2.4%
5485 1
2.4%
5347 1
2.4%
4616 1
2.4%

2018-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3437.9024
Minimum1067
Maximum10941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:06.376014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1067
5-th percentile1307
Q12204
median2812
Q33474
95-th percentile7673
Maximum10941
Range9874
Interquartile range (IQR)1270

Descriptive statistics

Standard deviation2140.578
Coefficient of variation (CV)0.6226407
Kurtosis2.8030393
Mean3437.9024
Median Absolute Deviation (MAD)662
Skewness1.5910354
Sum140954
Variance4582074
MonotonicityNot monotonic
2023-12-12T09:14:06.505449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3245 1
 
2.4%
2723 1
 
2.4%
2812 1
 
2.4%
3011 1
 
2.4%
2899 1
 
2.4%
3462 1
 
2.4%
2676 1
 
2.4%
2808 1
 
2.4%
2222 1
 
2.4%
2331 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1067 1
2.4%
1200 1
2.4%
1307 1
2.4%
1313 1
2.4%
1315 1
2.4%
1441 1
2.4%
1447 1
2.4%
1458 1
2.4%
1805 1
2.4%
1965 1
2.4%
ValueCountFrequency (%)
10941 1
2.4%
7992 1
2.4%
7673 1
2.4%
6877 1
2.4%
5785 1
2.4%
5709 1
2.4%
5674 1
2.4%
5564 1
2.4%
5383 1
2.4%
4658 1
2.4%

2018-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3450.2927
Minimum1068
Maximum11021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:06.619444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1068
5-th percentile1309
Q12204
median2817
Q33486
95-th percentile7744
Maximum11021
Range9953
Interquartile range (IQR)1282

Descriptive statistics

Standard deviation2161.0369
Coefficient of variation (CV)0.62633436
Kurtosis2.7968152
Mean3450.2927
Median Absolute Deviation (MAD)669
Skewness1.5936522
Sum141462
Variance4670080.4
MonotonicityNot monotonic
2023-12-12T09:14:06.746606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3256 1
 
2.4%
2716 1
 
2.4%
2814 1
 
2.4%
3007 1
 
2.4%
2896 1
 
2.4%
3455 1
 
2.4%
2674 1
 
2.4%
2817 1
 
2.4%
2228 1
 
2.4%
2334 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1068 1
2.4%
1197 1
2.4%
1309 1
2.4%
1310 1
2.4%
1314 1
2.4%
1438 1
2.4%
1444 1
2.4%
1458 1
2.4%
1798 1
2.4%
1964 1
2.4%
ValueCountFrequency (%)
11021 1
2.4%
8042 1
2.4%
7744 1
2.4%
6922 1
2.4%
5813 1
2.4%
5748 1
2.4%
5723 1
2.4%
5614 1
2.4%
5412 1
2.4%
4681 1
2.4%

2018-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3455.6829
Minimum1070
Maximum11032
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:06.861603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile1306
Q12204
median2831
Q33495
95-th percentile7778
Maximum11032
Range9962
Interquartile range (IQR)1291

Descriptive statistics

Standard deviation2169.3554
Coefficient of variation (CV)0.62776459
Kurtosis2.7490474
Mean3455.6829
Median Absolute Deviation (MAD)664
Skewness1.5863624
Sum141683
Variance4706102.8
MonotonicityNot monotonic
2023-12-12T09:14:06.976672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3260 1
 
2.4%
2704 1
 
2.4%
2814 1
 
2.4%
3000 1
 
2.4%
2889 1
 
2.4%
3447 1
 
2.4%
2671 1
 
2.4%
2831 1
 
2.4%
2233 1
 
2.4%
2337 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1070 1
2.4%
1194 1
2.4%
1306 1
2.4%
1309 1
2.4%
1313 1
2.4%
1433 1
2.4%
1440 1
2.4%
1456 1
2.4%
1788 1
2.4%
1962 1
2.4%
ValueCountFrequency (%)
11032 1
2.4%
8061 1
2.4%
7778 1
2.4%
6941 1
2.4%
5839 1
2.4%
5768 1
2.4%
5755 1
2.4%
5645 1
2.4%
5425 1
2.4%
4693 1
2.4%

2018-05
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3457.3659
Minimum1069
Maximum11010
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:07.108572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1069
5-th percentile1301
Q12204
median2843
Q33499
95-th percentile7809
Maximum11010
Range9941
Interquartile range (IQR)1295

Descriptive statistics

Standard deviation2173.0991
Coefficient of variation (CV)0.62854184
Kurtosis2.6767134
Mean3457.3659
Median Absolute Deviation (MAD)656
Skewness1.5742409
Sum141752
Variance4722359.6
MonotonicityNot monotonic
2023-12-12T09:14:07.224909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1311 2
 
4.9%
3296 1
 
2.4%
2814 1
 
2.4%
2995 1
 
2.4%
2884 1
 
2.4%
3439 1
 
2.4%
2666 1
 
2.4%
2843 1
 
2.4%
2238 1
 
2.4%
2337 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1069 1
2.4%
1190 1
2.4%
1301 1
2.4%
1311 2
4.9%
1426 1
2.4%
1435 1
2.4%
1452 1
2.4%
1775 1
2.4%
1958 1
2.4%
2204 1
2.4%
ValueCountFrequency (%)
11010 1
2.4%
8063 1
2.4%
7809 1
2.4%
6951 1
2.4%
5858 1
2.4%
5786 1
2.4%
5783 1
2.4%
5661 1
2.4%
5437 1
2.4%
4698 1
2.4%

2018-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3458
Minimum1070
Maximum10980
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:07.345451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile1297
Q12204
median2849
Q33501
95-th percentile7840
Maximum10980
Range9910
Interquartile range (IQR)1297

Descriptive statistics

Standard deviation2175.8164
Coefficient of variation (CV)0.62921237
Kurtosis2.5996647
Mean3458
Median Absolute Deviation (MAD)652
Skewness1.5616356
Sum141778
Variance4734176.9
MonotonicityNot monotonic
2023-12-12T09:14:07.461813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3261 1
 
2.4%
2670 1
 
2.4%
2813 1
 
2.4%
2986 1
 
2.4%
2875 1
 
2.4%
3428 1
 
2.4%
2660 1
 
2.4%
2849 1
 
2.4%
2242 1
 
2.4%
2338 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1070 1
2.4%
1187 1
2.4%
1297 1
2.4%
1308 1
2.4%
1311 1
2.4%
1421 1
2.4%
1430 1
2.4%
1445 1
2.4%
1764 1
2.4%
1954 1
2.4%
ValueCountFrequency (%)
10980 1
2.4%
8060 1
2.4%
7840 1
2.4%
6960 1
2.4%
5876 1
2.4%
5810 1
2.4%
5806 1
2.4%
5670 1
2.4%
5453 1
2.4%
4702 1
2.4%

2018-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3459.9268
Minimum1071
Maximum10964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:07.599406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1071
5-th percentile1294
Q12203
median2855
Q33503
95-th percentile7883
Maximum10964
Range9893
Interquartile range (IQR)1300

Descriptive statistics

Standard deviation2181.2027
Coefficient of variation (CV)0.63041872
Kurtosis2.5353726
Mean3459.9268
Median Absolute Deviation (MAD)652
Skewness1.5522652
Sum141857
Variance4757645
MonotonicityNot monotonic
2023-12-12T09:14:07.719739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3262 1
 
2.4%
2650 1
 
2.4%
2810 1
 
2.4%
2979 1
 
2.4%
2870 1
 
2.4%
3421 1
 
2.4%
2651 1
 
2.4%
2855 1
 
2.4%
2250 1
 
2.4%
2339 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1071 1
2.4%
1184 1
2.4%
1294 1
2.4%
1306 1
2.4%
1312 1
2.4%
1416 1
2.4%
1425 1
2.4%
1440 1
2.4%
1752 1
2.4%
1951 1
2.4%
ValueCountFrequency (%)
10964 1
2.4%
8070 1
2.4%
7883 1
2.4%
6973 1
2.4%
5904 1
2.4%
5838 1
2.4%
5824 1
2.4%
5677 1
2.4%
5461 1
2.4%
4708 1
2.4%

2018-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3470.2195
Minimum1072
Maximum11051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:07.845028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1072
5-th percentile1289
Q12203
median2860
Q33507
95-th percentile7975
Maximum11051
Range9979
Interquartile range (IQR)1304

Descriptive statistics

Standard deviation2205.6534
Coefficient of variation (CV)0.63559479
Kurtosis2.5324749
Mean3470.2195
Median Absolute Deviation (MAD)657
Skewness1.5579537
Sum142279
Variance4864907.1
MonotonicityNot monotonic
2023-12-12T09:14:07.968642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3269 1
 
2.4%
2627 1
 
2.4%
2803 1
 
2.4%
2970 1
 
2.4%
2865 1
 
2.4%
3409 1
 
2.4%
2637 1
 
2.4%
2860 1
 
2.4%
2259 1
 
2.4%
2343 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1072 1
2.4%
1179 1
2.4%
1289 1
2.4%
1305 1
2.4%
1312 1
2.4%
1411 1
2.4%
1419 1
2.4%
1433 1
2.4%
1736 1
2.4%
1946 1
2.4%
ValueCountFrequency (%)
11051 1
2.4%
8134 1
2.4%
7975 1
2.4%
7027 1
2.4%
5951 1
2.4%
5894 1
2.4%
5867 1
2.4%
5689 1
2.4%
5492 1
2.4%
4729 1
2.4%

2018-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3496.5122
Minimum1074
Maximum11256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:08.090697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1074
5-th percentile1287
Q12203
median2862
Q33536
95-th percentile8068
Maximum11256
Range10182
Interquartile range (IQR)1333

Descriptive statistics

Standard deviation2250.3071
Coefficient of variation (CV)0.64358623
Kurtosis2.578433
Mean3496.5122
Median Absolute Deviation (MAD)674
Skewness1.5723071
Sum143357
Variance5063882.1
MonotonicityNot monotonic
2023-12-12T09:14:08.228401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3294 1
 
2.4%
2611 1
 
2.4%
2802 1
 
2.4%
2964 1
 
2.4%
2862 1
 
2.4%
3402 1
 
2.4%
2629 1
 
2.4%
2873 1
 
2.4%
2281 1
 
2.4%
2347 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1074 1
2.4%
1174 1
2.4%
1287 1
2.4%
1306 1
2.4%
1313 1
2.4%
1406 1
2.4%
1414 1
2.4%
1429 1
2.4%
1724 1
2.4%
1944 1
2.4%
ValueCountFrequency (%)
11256 1
2.4%
8271 1
2.4%
8068 1
2.4%
7131 1
2.4%
6038 1
2.4%
5959 1
2.4%
5936 1
2.4%
5776 1
2.4%
5558 1
2.4%
4782 1
2.4%

2018-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3508.4878
Minimum1077
Maximum11314
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:08.362381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1077
5-th percentile1283
Q12203
median2858
Q33559
95-th percentile8123
Maximum11314
Range10237
Interquartile range (IQR)1356

Descriptive statistics

Standard deviation2265.8721
Coefficient of variation (CV)0.64582584
Kurtosis2.5643924
Mean3508.4878
Median Absolute Deviation (MAD)701
Skewness1.5699264
Sum143848
Variance5134176.4
MonotonicityNot monotonic
2023-12-12T09:14:08.505408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3305 1
 
2.4%
2591 1
 
2.4%
2807 1
 
2.4%
2960 1
 
2.4%
2858 1
 
2.4%
3397 1
 
2.4%
2625 1
 
2.4%
2895 1
 
2.4%
2299 1
 
2.4%
2366 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1077 1
2.4%
1170 1
2.4%
1283 1
2.4%
1306 1
2.4%
1313 1
2.4%
1399 1
2.4%
1410 1
2.4%
1423 1
2.4%
1713 1
2.4%
1944 1
2.4%
ValueCountFrequency (%)
11314 1
2.4%
8311 1
2.4%
8123 1
2.4%
7164 1
2.4%
6065 1
2.4%
5995 1
2.4%
5963 1
2.4%
5816 1
2.4%
5576 1
2.4%
4807 1
2.4%

2018-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3511.9756
Minimum1081
Maximum11274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:08.625792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1081
5-th percentile1281
Q12202
median2855
Q33572
95-th percentile8153
Maximum11274
Range10193
Interquartile range (IQR)1370

Descriptive statistics

Standard deviation2265.4669
Coefficient of variation (CV)0.64506909
Kurtosis2.4869792
Mean3511.9756
Median Absolute Deviation (MAD)717
Skewness1.5541881
Sum143991
Variance5132340.3
MonotonicityNot monotonic
2023-12-12T09:14:08.784017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3309 1
 
2.4%
2568 1
 
2.4%
2814 1
 
2.4%
2953 1
 
2.4%
2855 1
 
2.4%
3386 1
 
2.4%
2618 1
 
2.4%
2916 1
 
2.4%
2309 1
 
2.4%
2389 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1081 1
2.4%
1166 1
2.4%
1281 1
2.4%
1307 1
2.4%
1311 1
2.4%
1393 1
2.4%
1406 1
2.4%
1417 1
2.4%
1704 1
2.4%
1944 1
2.4%
ValueCountFrequency (%)
11274 1
2.4%
8298 1
2.4%
8153 1
2.4%
7167 1
2.4%
6072 1
2.4%
6007 1
2.4%
5981 1
2.4%
5828 1
2.4%
5595 1
2.4%
4815 1
2.4%

2018-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3510.6341
Minimum1083
Maximum11235
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:08.914522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1083
5-th percentile1277
Q12202
median2848
Q33572
95-th percentile8175
Maximum11235
Range10152
Interquartile range (IQR)1370

Descriptive statistics

Standard deviation2263.307
Coefficient of variation (CV)0.64470033
Kurtosis2.4353835
Mean3510.6341
Median Absolute Deviation (MAD)724
Skewness1.5441659
Sum143936
Variance5122558.5
MonotonicityNot monotonic
2023-12-12T09:14:09.044664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3308 1
 
2.4%
2544 1
 
2.4%
2823 1
 
2.4%
2945 1
 
2.4%
2848 1
 
2.4%
3375 1
 
2.4%
2611 1
 
2.4%
2932 1
 
2.4%
2318 1
 
2.4%
2406 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1083 1
2.4%
1161 1
2.4%
1277 1
2.4%
1307 1
2.4%
1310 1
2.4%
1387 1
2.4%
1401 1
2.4%
1409 1
2.4%
1693 1
2.4%
1942 1
2.4%
ValueCountFrequency (%)
11235 1
2.4%
8281 1
2.4%
8175 1
2.4%
7161 1
2.4%
6071 1
2.4%
6014 1
2.4%
5989 1
2.4%
5823 1
2.4%
5600 1
2.4%
4815 1
2.4%

2019-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3762.9512
Minimum1176
Maximum12038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:09.221292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1176
5-th percentile1327
Q12277
median2959
Q33841
95-th percentile8997
Maximum12038
Range10862
Interquartile range (IQR)1564

Descriptive statistics

Standard deviation2505.5714
Coefficient of variation (CV)0.66585274
Kurtosis2.0290843
Mean3762.9512
Median Absolute Deviation (MAD)882
Skewness1.5003303
Sum154281
Variance6277887.9
MonotonicityNot monotonic
2023-12-12T09:14:09.359101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3522 1
 
2.4%
2568 1
 
2.4%
2919 1
 
2.4%
2995 1
 
2.4%
2959 1
 
2.4%
3362 1
 
2.4%
2631 1
 
2.4%
3055 1
 
2.4%
2534 1
 
2.4%
2533 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1176 1
2.4%
1213 1
2.4%
1327 1
2.4%
1331 1
2.4%
1414 1
2.4%
1423 1
2.4%
1466 1
2.4%
1478 1
2.4%
1766 1
2.4%
2032 1
2.4%
ValueCountFrequency (%)
12038 1
2.4%
9053 1
2.4%
8997 1
2.4%
7886 1
2.4%
6778 1
2.4%
6714 1
2.4%
6696 1
2.4%
6287 1
2.4%
6281 1
2.4%
5162 1
2.4%

2019-02
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3754.0732
Minimum1177
Maximum11948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:09.807695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1177
5-th percentile1326
Q12277
median2956
Q33836
95-th percentile8953
Maximum11948
Range10771
Interquartile range (IQR)1559

Descriptive statistics

Standard deviation2493.6184
Coefficient of variation (CV)0.66424341
Kurtosis1.9725105
Mean3754.0732
Median Absolute Deviation (MAD)880
Skewness1.4890388
Sum153917
Variance6218132.6
MonotonicityNot monotonic
2023-12-12T09:14:09.982124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2536 2
 
4.9%
3514 1
 
2.4%
3407 1
 
2.4%
2916 1
 
2.4%
2990 1
 
2.4%
2956 1
 
2.4%
3354 1
 
2.4%
2625 1
 
2.4%
3053 1
 
2.4%
2556 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1177 1
2.4%
1209 1
2.4%
1326 1
2.4%
1328 1
2.4%
1410 1
2.4%
1418 1
2.4%
1462 1
2.4%
1474 1
2.4%
1760 1
2.4%
2029 1
2.4%
ValueCountFrequency (%)
11948 1
2.4%
9044 1
2.4%
8953 1
2.4%
7860 1
2.4%
6767 1
2.4%
6706 1
2.4%
6685 1
2.4%
6275 1
2.4%
6260 1
2.4%
5148 1
2.4%

2019-03
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3744.6098
Minimum1177
Maximum11872
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:10.115826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1177
5-th percentile1322
Q12276
median2952
Q33828
95-th percentile8911
Maximum11872
Range10695
Interquartile range (IQR)1552

Descriptive statistics

Standard deviation2483.0592
Coefficient of variation (CV)0.66310227
Kurtosis1.9305364
Mean3744.6098
Median Absolute Deviation (MAD)876
Skewness1.4805994
Sum153529
Variance6165583.1
MonotonicityNot monotonic
2023-12-12T09:14:10.243644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2538 2
 
4.9%
3505 1
 
2.4%
3403 1
 
2.4%
2915 1
 
2.4%
2983 1
 
2.4%
2952 1
 
2.4%
3347 1
 
2.4%
2616 1
 
2.4%
3054 1
 
2.4%
2545 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1177 1
2.4%
1205 1
2.4%
1322 1
2.4%
1325 1
2.4%
1405 1
2.4%
1412 1
2.4%
1457 1
2.4%
1470 1
2.4%
1754 1
2.4%
2025 1
2.4%
ValueCountFrequency (%)
11872 1
2.4%
9036 1
2.4%
8911 1
2.4%
7833 1
2.4%
6758 1
2.4%
6695 1
2.4%
6669 1
2.4%
6263 1
2.4%
6238 1
2.4%
5134 1
2.4%

2019-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3733.8293
Minimum1178
Maximum11832
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:10.371787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1178
5-th percentile1318
Q12260
median2948
Q33815
95-th percentile8884
Maximum11832
Range10654
Interquartile range (IQR)1555

Descriptive statistics

Standard deviation2476.9941
Coefficient of variation (CV)0.66339243
Kurtosis1.9226157
Mean3733.8293
Median Absolute Deviation (MAD)867
Skewness1.4800825
Sum153087
Variance6135499.5
MonotonicityNot monotonic
2023-12-12T09:14:10.491585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3494 1
 
2.4%
2532 1
 
2.4%
2914 1
 
2.4%
2975 1
 
2.4%
2948 1
 
2.4%
3336 1
 
2.4%
2603 1
 
2.4%
3052 1
 
2.4%
2537 1
 
2.4%
2539 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1178 1
2.4%
1199 1
2.4%
1318 1
2.4%
1319 1
2.4%
1401 1
2.4%
1404 1
2.4%
1452 1
2.4%
1465 1
2.4%
1746 1
2.4%
2019 1
2.4%
ValueCountFrequency (%)
11832 1
2.4%
9029 1
2.4%
8884 1
2.4%
7815 1
2.4%
6752 1
2.4%
6686 1
2.4%
6652 1
2.4%
6252 1
2.4%
6196 1
2.4%
5117 1
2.4%

2019-05
Real number (ℝ)

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3727.1463
Minimum1179
Maximum11813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:10.632843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1179
5-th percentile1315
Q12258
median2945
Q33809
95-th percentile8870
Maximum11813
Range10634
Interquartile range (IQR)1551

Descriptive statistics

Standard deviation2474.2852
Coefficient of variation (CV)0.66385513
Kurtosis1.9218375
Mean3727.1463
Median Absolute Deviation (MAD)864
Skewness1.4805093
Sum152813
Variance6122087.4
MonotonicityNot monotonic
2023-12-12T09:14:10.795741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1315 2
 
4.9%
1397 2
 
4.9%
2534 1
 
2.4%
2258 1
 
2.4%
2913 1
 
2.4%
2967 1
 
2.4%
2945 1
 
2.4%
3324 1
 
2.4%
2594 1
 
2.4%
3052 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
1179 1
2.4%
1194 1
2.4%
1315 2
4.9%
1397 2
4.9%
1445 1
2.4%
1460 1
2.4%
1739 1
2.4%
2015 1
2.4%
2258 1
2.4%
2442 1
2.4%
ValueCountFrequency (%)
11813 1
2.4%
9028 1
2.4%
8870 1
2.4%
7805 1
2.4%
6750 1
2.4%
6680 1
2.4%
6642 1
2.4%
6244 1
2.4%
6167 1
2.4%
5107 1
2.4%

2019-06
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3722.8293
Minimum1179
Maximum11815
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:10.921606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1179
5-th percentile1311
Q12253
median2941
Q33804
95-th percentile8869
Maximum11815
Range10636
Interquartile range (IQR)1551

Descriptive statistics

Standard deviation2475.2583
Coefficient of variation (CV)0.66488634
Kurtosis1.928523
Mean3722.8293
Median Absolute Deviation (MAD)863
Skewness1.4824178
Sum152636
Variance6126903.8
MonotonicityNot monotonic
2023-12-12T09:14:11.048870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1311 2
 
4.9%
3375 1
 
2.4%
2913 1
 
2.4%
2960 1
 
2.4%
2941 1
 
2.4%
3315 1
 
2.4%
2582 1
 
2.4%
3052 1
 
2.4%
2530 1
 
2.4%
2559 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1179 1
2.4%
1190 1
2.4%
1311 2
4.9%
1388 1
2.4%
1394 1
2.4%
1439 1
2.4%
1456 1
2.4%
1731 1
2.4%
2011 1
2.4%
2253 1
2.4%
ValueCountFrequency (%)
11815 1
2.4%
9029 1
2.4%
8869 1
2.4%
7803 1
2.4%
6750 1
2.4%
6678 1
2.4%
6639 1
2.4%
6240 1
2.4%
6151 1
2.4%
5103 1
2.4%

2019-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3722.2439
Minimum1180
Maximum11838
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:11.168544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1180
5-th percentile1308
Q12250
median2935
Q33811
95-th percentile8883
Maximum11838
Range10658
Interquartile range (IQR)1561

Descriptive statistics

Standard deviation2480.7611
Coefficient of variation (CV)0.66646925
Kurtosis1.9357483
Mean3722.2439
Median Absolute Deviation (MAD)876
Skewness1.484551
Sum152612
Variance6154175.7
MonotonicityNot monotonic
2023-12-12T09:14:11.293390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3483 1
 
2.4%
2510 1
 
2.4%
2912 1
 
2.4%
2953 1
 
2.4%
2935 1
 
2.4%
3308 1
 
2.4%
2573 1
 
2.4%
3052 1
 
2.4%
2526 1
 
2.4%
2570 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1180 1
2.4%
1187 1
2.4%
1308 1
2.4%
1310 1
2.4%
1382 1
2.4%
1391 1
2.4%
1432 1
2.4%
1451 1
2.4%
1721 1
2.4%
2007 1
2.4%
ValueCountFrequency (%)
11838 1
2.4%
9034 1
2.4%
8883 1
2.4%
7813 1
2.4%
6760 1
2.4%
6684 1
2.4%
6646 1
2.4%
6244 1
2.4%
6150 1
2.4%
5106 1
2.4%

2019-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3724.1707
Minimum1181
Maximum11865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:11.411259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1181
5-th percentile1305
Q12248
median2929
Q33822
95-th percentile8899
Maximum11865
Range10684
Interquartile range (IQR)1574

Descriptive statistics

Standard deviation2487.92
Coefficient of variation (CV)0.6680467
Kurtosis1.937424
Mean3724.1707
Median Absolute Deviation (MAD)893
Skewness1.4852893
Sum152691
Variance6189745.8
MonotonicityNot monotonic
2023-12-12T09:14:11.550362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3484 1
 
2.4%
2506 1
 
2.4%
2908 1
 
2.4%
2947 1
 
2.4%
2929 1
 
2.4%
3303 1
 
2.4%
2568 1
 
2.4%
3050 1
 
2.4%
2524 1
 
2.4%
2593 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1181 1
2.4%
1183 1
2.4%
1305 1
2.4%
1308 1
2.4%
1377 1
2.4%
1389 1
2.4%
1424 1
2.4%
1446 1
2.4%
1713 1
2.4%
2004 1
2.4%
ValueCountFrequency (%)
11865 1
2.4%
9051 1
2.4%
8899 1
2.4%
7826 1
2.4%
6771 1
2.4%
6695 1
2.4%
6653 1
2.4%
6254 1
2.4%
6164 1
2.4%
5113 1
2.4%

2019-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3727.8537
Minimum1180
Maximum11893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:11.690411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1180
5-th percentile1300
Q12247
median2924
Q33836
95-th percentile8917
Maximum11893
Range10713
Interquartile range (IQR)1589

Descriptive statistics

Standard deviation2495.3219
Coefficient of variation (CV)0.66937227
Kurtosis1.9370419
Mean3727.8537
Median Absolute Deviation (MAD)912
Skewness1.484883
Sum152842
Variance6226631.2
MonotonicityNot monotonic
2023-12-12T09:14:11.836527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3488 1
 
2.4%
2501 1
 
2.4%
2914 1
 
2.4%
2942 1
 
2.4%
2924 1
 
2.4%
3296 1
 
2.4%
2564 1
 
2.4%
3052 1
 
2.4%
2523 1
 
2.4%
2623 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1180 1
2.4%
1182 1
2.4%
1300 1
2.4%
1306 1
2.4%
1372 1
2.4%
1387 1
2.4%
1416 1
2.4%
1441 1
2.4%
1705 1
2.4%
2002 1
2.4%
ValueCountFrequency (%)
11893 1
2.4%
9073 1
2.4%
8917 1
2.4%
7840 1
2.4%
6767 1
2.4%
6704 1
2.4%
6663 1
2.4%
6267 1
2.4%
6194 1
2.4%
5123 1
2.4%

2019-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3739.6341
Minimum1177
Maximum11989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:11.956758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1177
5-th percentile1297
Q12247
median2922
Q33850
95-th percentile8975
Maximum11989
Range10812
Interquartile range (IQR)1603

Descriptive statistics

Standard deviation2514.8711
Coefficient of variation (CV)0.67249121
Kurtosis1.9634495
Mean3739.6341
Median Absolute Deviation (MAD)919
Skewness1.4910343
Sum153325
Variance6324576.7
MonotonicityNot monotonic
2023-12-12T09:14:12.089455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3499 1
 
2.4%
2503 1
 
2.4%
2919 1
 
2.4%
2937 1
 
2.4%
2922 1
 
2.4%
3290 1
 
2.4%
2557 1
 
2.4%
3057 1
 
2.4%
2523 1
 
2.4%
2663 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1177 1
2.4%
1183 1
2.4%
1297 1
2.4%
1305 1
2.4%
1367 1
2.4%
1387 1
2.4%
1412 1
2.4%
1438 1
2.4%
1700 1
2.4%
2003 1
2.4%
ValueCountFrequency (%)
11989 1
2.4%
9114 1
2.4%
8975 1
2.4%
7883 1
2.4%
6798 1
2.4%
6731 1
2.4%
6693 1
2.4%
6290 1
2.4%
6238 1
2.4%
5146 1
2.4%

2019-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3755.5366
Minimum1175
Maximum12097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:12.218731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1175
5-th percentile1295
Q12247
median2926
Q33871
95-th percentile9044
Maximum12097
Range10922
Interquartile range (IQR)1624

Descriptive statistics

Standard deviation2536.3962
Coefficient of variation (CV)0.67537517
Kurtosis1.9903295
Mean3755.5366
Median Absolute Deviation (MAD)921
Skewness1.4964294
Sum153977
Variance6433305.5
MonotonicityNot monotonic
2023-12-12T09:14:12.410505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3514 1
 
2.4%
2512 1
 
2.4%
2926 1
 
2.4%
2941 1
 
2.4%
2925 1
 
2.4%
3300 1
 
2.4%
2554 1
 
2.4%
3064 1
 
2.4%
2525 1
 
2.4%
2704 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1175 1
2.4%
1184 1
2.4%
1295 1
2.4%
1303 1
2.4%
1364 1
2.4%
1389 1
2.4%
1410 1
2.4%
1436 1
2.4%
1698 1
2.4%
2005 1
2.4%
ValueCountFrequency (%)
12097 1
2.4%
9157 1
2.4%
9044 1
2.4%
7933 1
2.4%
6833 1
2.4%
6761 1
2.4%
6732 1
2.4%
6316 1
2.4%
6288 1
2.4%
5174 1
2.4%

2019-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3787.9268
Minimum1173
Maximum12384
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:12.589867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1173
5-th percentile1294
Q12249
median2941
Q33900
95-th percentile9206
Maximum12384
Range11211
Interquartile range (IQR)1651

Descriptive statistics

Standard deviation2581.1271
Coefficient of variation (CV)0.68140891
Kurtosis2.1328159
Mean3787.9268
Median Absolute Deviation (MAD)928
Skewness1.5224581
Sum155305
Variance6662217
MonotonicityNot monotonic
2023-12-12T09:14:12.735757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3544 1
 
2.4%
2526 1
 
2.4%
2940 1
 
2.4%
2964 1
 
2.4%
2941 1
 
2.4%
3352 1
 
2.4%
2554 1
 
2.4%
3074 1
 
2.4%
2527 1
 
2.4%
2745 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1173 1
2.4%
1184 1
2.4%
1294 1
2.4%
1302 1
2.4%
1365 1
2.4%
1392 1
2.4%
1406 1
2.4%
1436 1
2.4%
1702 1
2.4%
2013 1
2.4%
ValueCountFrequency (%)
12384 1
2.4%
9207 1
2.4%
9206 1
2.4%
8034 1
2.4%
6871 1
2.4%
6799 1
2.4%
6797 1
2.4%
6373 1
2.4%
6348 1
2.4%
5228 1
2.4%

2020-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4008.7805
Minimum1201
Maximum13351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:12.879290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1201
5-th percentile1326
Q12385
median3092
Q34132
95-th percentile9867
Maximum13351
Range12150
Interquartile range (IQR)1747

Descriptive statistics

Standard deviation2794.3327
Coefficient of variation (CV)0.69705306
Kurtosis2.1872212
Mean4008.7805
Median Absolute Deviation (MAD)1013
Skewness1.5371306
Sum164360
Variance7808295.2
MonotonicityNot monotonic
2023-12-12T09:14:13.007898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3726 1
 
2.4%
2597 1
 
2.4%
3123 1
 
2.4%
3092 1
 
2.4%
3086 1
 
2.4%
3465 1
 
2.4%
2670 1
 
2.4%
3176 1
 
2.4%
2566 1
 
2.4%
2894 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1201 1
2.4%
1205 1
2.4%
1326 1
2.4%
1369 1
2.4%
1416 1
2.4%
1432 1
2.4%
1444 1
2.4%
1474 1
2.4%
1738 1
2.4%
2079 1
2.4%
ValueCountFrequency (%)
13351 1
2.4%
9893 1
2.4%
9867 1
2.4%
8611 1
2.4%
7419 1
2.4%
7283 1
2.4%
7259 1
2.4%
6738 1
2.4%
6688 1
2.4%
5526 1
2.4%

2020-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4024.1951
Minimum1201
Maximum13331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:13.159750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1201
5-th percentile1328
Q12386
median3096
Q34161
95-th percentile9884
Maximum13331
Range12130
Interquartile range (IQR)1775

Descriptive statistics

Standard deviation2794.1266
Coefficient of variation (CV)0.69433178
Kurtosis2.1287986
Mean4024.1951
Median Absolute Deviation (MAD)1010
Skewness1.5194748
Sum164992
Variance7807143.3
MonotonicityNot monotonic
2023-12-12T09:14:13.325541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3742 1
 
2.4%
2612 1
 
2.4%
3142 1
 
2.4%
3096 1
 
2.4%
3092 1
 
2.4%
3470 1
 
2.4%
2670 1
 
2.4%
3185 1
 
2.4%
2568 1
 
2.4%
2934 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1201 1
2.4%
1206 1
2.4%
1328 1
2.4%
1368 1
2.4%
1417 1
2.4%
1435 1
2.4%
1445 1
2.4%
1476 1
2.4%
1743 1
2.4%
2086 1
2.4%
ValueCountFrequency (%)
13331 1
2.4%
9885 1
2.4%
9884 1
2.4%
8615 1
2.4%
7437 1
2.4%
7284 1
2.4%
7276 1
2.4%
6755 1
2.4%
6729 1
2.4%
5553 1
2.4%

2020-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4048.878
Minimum1200
Maximum13298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:13.486730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1331
Q12389
median3098
Q34266
95-th percentile9877
Maximum13298
Range12098
Interquartile range (IQR)1877

Descriptive statistics

Standard deviation2794.0565
Coefficient of variation (CV)0.69008167
Kurtosis2.0306725
Mean4048.878
Median Absolute Deviation (MAD)1121
Skewness1.4892473
Sum166004
Variance7806752
MonotonicityNot monotonic
2023-12-12T09:14:13.653661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3768 1
 
2.4%
2625 1
 
2.4%
3221 1
 
2.4%
3098 1
 
2.4%
3095 1
 
2.4%
3474 1
 
2.4%
2669 1
 
2.4%
3186 1
 
2.4%
2569 1
 
2.4%
2984 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1200 1
2.4%
1208 1
2.4%
1331 1
2.4%
1368 1
2.4%
1420 1
2.4%
1437 1
2.4%
1447 1
2.4%
1478 1
2.4%
1747 1
2.4%
2094 1
2.4%
ValueCountFrequency (%)
13298 1
2.4%
9901 1
2.4%
9877 1
2.4%
8619 1
2.4%
7452 1
2.4%
7295 1
2.4%
7293 1
2.4%
6816 1
2.4%
6772 1
2.4%
5599 1
2.4%

2020-04
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4057.5854
Minimum1199
Maximum13205
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:13.804623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1199
5-th percentile1333
Q12393
median3096
Q34351
95-th percentile9842
Maximum13205
Range12006
Interquartile range (IQR)1958

Descriptive statistics

Standard deviation2785.7561
Coefficient of variation (CV)0.68655514
Kurtosis1.9220294
Mean4057.5854
Median Absolute Deviation (MAD)1168
Skewness1.4621026
Sum166361
Variance7760436.9
MonotonicityNot monotonic
2023-12-12T09:14:13.974114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
7303 2
 
4.9%
3780 1
 
2.4%
4351 1
 
2.4%
3096 1
 
2.4%
3091 1
 
2.4%
3473 1
 
2.4%
2668 1
 
2.4%
3181 1
 
2.4%
2569 1
 
2.4%
3016 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1199 1
2.4%
1206 1
2.4%
1333 1
2.4%
1366 1
2.4%
1422 1
2.4%
1438 1
2.4%
1447 1
2.4%
1478 1
2.4%
1748 1
2.4%
2096 1
2.4%
ValueCountFrequency (%)
13205 1
2.4%
9901 1
2.4%
9842 1
2.4%
8606 1
2.4%
7452 1
2.4%
7303 2
4.9%
6871 1
2.4%
6788 1
2.4%
5620 1
2.4%
4351 1
2.4%

2020-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4059.561
Minimum1199
Maximum13135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:14.136323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1199
5-th percentile1335
Q12395
median3098
Q34365
95-th percentile9812
Maximum13135
Range11936
Interquartile range (IQR)1970

Descriptive statistics

Standard deviation2777.4992
Coefficient of variation (CV)0.68418709
Kurtosis1.8601814
Mean4059.561
Median Absolute Deviation (MAD)1187
Skewness1.4469911
Sum166442
Variance7714501.9
MonotonicityNot monotonic
2023-12-12T09:14:14.614837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3783 1
 
2.4%
2636 1
 
2.4%
3291 1
 
2.4%
3098 1
 
2.4%
3091 1
 
2.4%
3479 1
 
2.4%
2666 1
 
2.4%
3180 1
 
2.4%
2570 1
 
2.4%
3029 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1199 1
2.4%
1207 1
2.4%
1335 1
2.4%
1365 1
2.4%
1426 1
2.4%
1439 1
2.4%
1445 1
2.4%
1478 1
2.4%
1747 1
2.4%
2098 1
2.4%
ValueCountFrequency (%)
13135 1
2.4%
9897 1
2.4%
9812 1
2.4%
8589 1
2.4%
7446 1
2.4%
7303 1
2.4%
7301 1
2.4%
6899 1
2.4%
6788 1
2.4%
5626 1
2.4%

2020-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4077.3415
Minimum1200
Maximum13156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:14.760524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1200
5-th percentile1338
Q12408
median3108
Q34468
95-th percentile9828
Maximum13156
Range11956
Interquartile range (IQR)2060

Descriptive statistics

Standard deviation2779.5621
Coefficient of variation (CV)0.68170942
Kurtosis1.8473501
Mean4077.3415
Median Absolute Deviation (MAD)1225
Skewness1.4390543
Sum167171
Variance7725965.4
MonotonicityNot monotonic
2023-12-12T09:14:14.920210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3801 1
 
2.4%
2648 1
 
2.4%
3323 1
 
2.4%
3102 1
 
2.4%
3096 1
 
2.4%
3487 1
 
2.4%
2667 1
 
2.4%
3188 1
 
2.4%
2569 1
 
2.4%
3108 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1200 1
2.4%
1210 1
2.4%
1338 1
2.4%
1365 1
2.4%
1443 1
2.4%
1449 1
2.4%
1466 1
2.4%
1485 1
2.4%
1752 1
2.4%
2109 1
2.4%
ValueCountFrequency (%)
13156 1
2.4%
9908 1
2.4%
9828 1
2.4%
8601 1
2.4%
7451 1
2.4%
7315 1
2.4%
7308 1
2.4%
6923 1
2.4%
6795 1
2.4%
5651 1
2.4%

2020-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4118.1951
Minimum1205
Maximum13288
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:15.061465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1205
5-th percentile1346
Q12421
median3138
Q34749
95-th percentile9918
Maximum13288
Range12083
Interquartile range (IQR)2328

Descriptive statistics

Standard deviation2806.4685
Coefficient of variation (CV)0.6814802
Kurtosis1.8313166
Mean4118.1951
Median Absolute Deviation (MAD)1274
Skewness1.4289652
Sum168846
Variance7876265.2
MonotonicityNot monotonic
2023-12-12T09:14:15.217500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3837 1
 
2.4%
2668 1
 
2.4%
3343 1
 
2.4%
3131 1
 
2.4%
3121 1
 
2.4%
3539 1
 
2.4%
2673 1
 
2.4%
3197 1
 
2.4%
2570 1
 
2.4%
3138 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1205 1
2.4%
1213 1
2.4%
1346 1
2.4%
1366 1
2.4%
1456 1
2.4%
1463 1
2.4%
1478 1
2.4%
1495 1
2.4%
1767 1
2.4%
2126 1
2.4%
ValueCountFrequency (%)
13288 1
2.4%
9962 1
2.4%
9918 1
2.4%
8676 1
2.4%
7512 1
2.4%
7373 1
2.4%
7367 1
2.4%
6984 1
2.4%
6855 1
2.4%
5706 1
2.4%

2020-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4153.561
Minimum1212
Maximum13334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:15.390543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1212
5-th percentile1350
Q12436
median3164
Q35206
95-th percentile9958
Maximum13334
Range12122
Interquartile range (IQR)2770

Descriptive statistics

Standard deviation2821.4848
Coefficient of variation (CV)0.67929298
Kurtosis1.7566753
Mean4153.561
Median Absolute Deviation (MAD)1319
Skewness1.4044007
Sum170296
Variance7960776.6
MonotonicityNot monotonic
2023-12-12T09:14:15.526195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3863 1
 
2.4%
2689 1
 
2.4%
3351 1
 
2.4%
3160 1
 
2.4%
3143 1
 
2.4%
3597 1
 
2.4%
2679 1
 
2.4%
3218 1
 
2.4%
2570 1
 
2.4%
3164 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1212 1
2.4%
1217 1
2.4%
1350 1
2.4%
1366 1
2.4%
1462 1
2.4%
1481 1
2.4%
1482 1
2.4%
1503 1
2.4%
1776 1
2.4%
2145 1
2.4%
ValueCountFrequency (%)
13334 1
2.4%
10003 1
2.4%
9958 1
2.4%
8715 1
2.4%
7547 1
2.4%
7410 1
2.4%
7405 1
2.4%
7045 1
2.4%
6893 1
2.4%
5741 1
2.4%

2020-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4180.0732
Minimum1217
Maximum13350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:15.680481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1217
5-th percentile1356
Q12453
median3212
Q35429
95-th percentile9979
Maximum13350
Range12133
Interquartile range (IQR)2976

Descriptive statistics

Standard deviation2828.6399
Coefficient of variation (CV)0.67669626
Kurtosis1.699103
Mean4180.0732
Median Absolute Deviation (MAD)1325
Skewness1.3856604
Sum171383
Variance8001203.5
MonotonicityNot monotonic
2023-12-12T09:14:15.825490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3885 1
 
2.4%
2721 1
 
2.4%
3359 1
 
2.4%
3191 1
 
2.4%
3168 1
 
2.4%
3659 1
 
2.4%
2686 1
 
2.4%
3250 1
 
2.4%
2570 1
 
2.4%
3212 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1217 1
2.4%
1220 1
2.4%
1356 1
2.4%
1368 1
2.4%
1467 1
2.4%
1483 1
2.4%
1497 1
2.4%
1508 1
2.4%
1781 1
2.4%
2163 1
2.4%
ValueCountFrequency (%)
13350 1
2.4%
10032 1
2.4%
9979 1
2.4%
8738 1
2.4%
7574 1
2.4%
7434 1
2.4%
7430 1
2.4%
7095 1
2.4%
6916 1
2.4%
5767 1
2.4%

2020-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4195.2195
Minimum1220
Maximum13354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:15.967169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1220
5-th percentile1360
Q12466
median3244
Q35490
95-th percentile9987
Maximum13354
Range12134
Interquartile range (IQR)3024

Descriptive statistics

Standard deviation2830.5321
Coefficient of variation (CV)0.67470418
Kurtosis1.6722499
Mean4195.2195
Median Absolute Deviation (MAD)1320
Skewness1.3764107
Sum172004
Variance8011912.2
MonotonicityNot monotonic
2023-12-12T09:14:16.153063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3898 1
 
2.4%
2750 1
 
2.4%
3367 1
 
2.4%
3214 1
 
2.4%
3181 1
 
2.4%
3709 1
 
2.4%
2693 1
 
2.4%
3283 1
 
2.4%
2573 1
 
2.4%
3244 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1220 1
2.4%
1224 1
2.4%
1360 1
2.4%
1369 1
2.4%
1473 1
2.4%
1484 1
2.4%
1505 1
2.4%
1512 1
2.4%
1785 1
2.4%
2176 1
2.4%
ValueCountFrequency (%)
13354 1
2.4%
10048 1
2.4%
9987 1
2.4%
8749 1
2.4%
7590 1
2.4%
7445 1
2.4%
7443 1
2.4%
7132 1
2.4%
6928 1
2.4%
5781 1
2.4%

2020-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4222.4634
Minimum1224
Maximum13366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:16.305397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1224
5-th percentile1368
Q12482
median3286
Q35536
95-th percentile9998
Maximum13366
Range12142
Interquartile range (IQR)3054

Descriptive statistics

Standard deviation2830.4217
Coefficient of variation (CV)0.67032475
Kurtosis1.6461039
Mean4222.4634
Median Absolute Deviation (MAD)1322
Skewness1.3625418
Sum173121
Variance8011287.2
MonotonicityNot monotonic
2023-12-12T09:14:16.450718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3924 1
 
2.4%
2794 1
 
2.4%
3382 1
 
2.4%
3277 1
 
2.4%
3242 1
 
2.4%
3813 1
 
2.4%
2713 1
 
2.4%
3334 1
 
2.4%
2582 1
 
2.4%
3286 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1224 1
2.4%
1230 1
2.4%
1368 1
2.4%
1371 1
2.4%
1480 1
2.4%
1489 1
2.4%
1518 1
2.4%
1522 1
2.4%
1804 1
2.4%
2200 1
2.4%
ValueCountFrequency (%)
13366 1
2.4%
10067 1
2.4%
9998 1
2.4%
8762 1
2.4%
7605 1
2.4%
7458 1
2.4%
7455 1
2.4%
7186 1
2.4%
6943 1
2.4%
5808 1
2.4%

2020-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4264.9756
Minimum1235
Maximum13412
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:16.593848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1235
5-th percentile1372
Q12504
median3364
Q35572
95-th percentile10027
Maximum13412
Range12177
Interquartile range (IQR)3068

Descriptive statistics

Standard deviation2830.7095
Coefficient of variation (CV)0.66371059
Kurtosis1.6420024
Mean4264.9756
Median Absolute Deviation (MAD)1296
Skewness1.3507203
Sum174864
Variance8012916.2
MonotonicityNot monotonic
2023-12-12T09:14:16.749346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3964 1
 
2.4%
2899 1
 
2.4%
3404 1
 
2.4%
3364 1
 
2.4%
3324 1
 
2.4%
3917 1
 
2.4%
2789 1
 
2.4%
3403 1
 
2.4%
2623 1
 
2.4%
3348 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1235 1
2.4%
1237 1
2.4%
1372 1
2.4%
1394 1
2.4%
1488 1
2.4%
1505 1
2.4%
1537 1
2.4%
1543 1
2.4%
1852 1
2.4%
2243 1
2.4%
ValueCountFrequency (%)
13412 1
2.4%
10094 1
2.4%
10027 1
2.4%
8788 1
2.4%
7628 1
2.4%
7481 1
2.4%
7472 1
2.4%
7262 1
2.4%
6964 1
2.4%
5846 1
2.4%

2021-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4303.9268
Minimum1238
Maximum13499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:16.906378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1238
5-th percentile1375
Q12534
median3418
Q35605
95-th percentile10080
Maximum13499
Range12261
Interquartile range (IQR)3071

Descriptive statistics

Standard deviation2841.4875
Coefficient of variation (CV)0.66020812
Kurtosis1.646668
Mean4303.9268
Median Absolute Deviation (MAD)1312
Skewness1.3429062
Sum176461
Variance8074051
MonotonicityNot monotonic
2023-12-12T09:14:17.040554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4002 1
 
2.4%
2959 1
 
2.4%
3439 1
 
2.4%
3418 1
 
2.4%
3373 1
 
2.4%
3979 1
 
2.4%
2841 1
 
2.4%
3452 1
 
2.4%
2642 1
 
2.4%
3396 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1238 1
2.4%
1253 1
2.4%
1375 1
2.4%
1398 1
2.4%
1499 1
2.4%
1516 1
2.4%
1554 1
2.4%
1557 1
2.4%
1874 1
2.4%
2270 1
2.4%
ValueCountFrequency (%)
13499 1
2.4%
10122 1
2.4%
10080 1
2.4%
8828 1
2.4%
7657 1
2.4%
7509 1
2.4%
7499 1
2.4%
7358 1
2.4%
6991 1
2.4%
5896 1
2.4%

2021-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4349.4878
Minimum1240
Maximum13595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:17.186334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1240
5-th percentile1380
Q12542
median3460
Q35636
95-th percentile10142
Maximum13595
Range12355
Interquartile range (IQR)3094

Descriptive statistics

Standard deviation2858.454
Coefficient of variation (CV)0.65719324
Kurtosis1.6243423
Mean4349.4878
Median Absolute Deviation (MAD)1381
Skewness1.3285816
Sum178329
Variance8170759.2
MonotonicityNot monotonic
2023-12-12T09:14:17.366107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4048 1
 
2.4%
2989 1
 
2.4%
3492 1
 
2.4%
3460 1
 
2.4%
3416 1
 
2.4%
4027 1
 
2.4%
2874 1
 
2.4%
3509 1
 
2.4%
2655 1
 
2.4%
3449 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1240 1
2.4%
1267 1
2.4%
1380 1
2.4%
1401 1
2.4%
1512 1
2.4%
1529 1
2.4%
1567 1
2.4%
1570 1
2.4%
1886 1
2.4%
2293 1
2.4%
ValueCountFrequency (%)
13595 1
2.4%
10164 1
2.4%
10142 1
2.4%
8882 1
2.4%
7700 1
2.4%
7554 1
2.4%
7535 1
2.4%
7493 1
2.4%
7038 1
2.4%
5968 1
2.4%

2021-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4382.2195
Minimum1241
Maximum13640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:17.485657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1241
5-th percentile1386
Q12548
median3496
Q35656
95-th percentile10179
Maximum13640
Range12399
Interquartile range (IQR)3108

Descriptive statistics

Standard deviation2867.8075
Coefficient of variation (CV)0.65441894
Kurtosis1.5907303
Mean4382.2195
Median Absolute Deviation (MAD)1417
Skewness1.3144035
Sum179671
Variance8224319.6
MonotonicityNot monotonic
2023-12-12T09:14:17.631742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4083 1
 
2.4%
3007 1
 
2.4%
3552 1
 
2.4%
3487 1
 
2.4%
3441 1
 
2.4%
4063 1
 
2.4%
2895 1
 
2.4%
3556 1
 
2.4%
2666 1
 
2.4%
3496 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1241 1
2.4%
1275 1
2.4%
1386 1
2.4%
1404 1
2.4%
1523 1
2.4%
1543 1
2.4%
1576 1
2.4%
1585 1
2.4%
1893 1
2.4%
2310 1
2.4%
ValueCountFrequency (%)
13640 1
2.4%
10190 1
2.4%
10179 1
2.4%
8916 1
2.4%
7726 1
2.4%
7599 1
2.4%
7584 1
2.4%
7567 1
2.4%
7071 1
2.4%
6022 1
2.4%

2021-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4412.561
Minimum1243
Maximum13712
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:17.759237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1243
5-th percentile1392
Q12556
median3536
Q35671
95-th percentile10214
Maximum13712
Range12469
Interquartile range (IQR)3115

Descriptive statistics

Standard deviation2879.6644
Coefficient of variation (CV)0.65260614
Kurtosis1.5841394
Mean4412.561
Median Absolute Deviation (MAD)1421
Skewness1.3074821
Sum180915
Variance8292467
MonotonicityNot monotonic
2023-12-12T09:14:17.872222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4117 1
 
2.4%
3019 1
 
2.4%
3617 1
 
2.4%
3509 1
 
2.4%
3455 1
 
2.4%
4097 1
 
2.4%
2917 1
 
2.4%
3588 1
 
2.4%
2680 1
 
2.4%
3536 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1243 1
2.4%
1284 1
2.4%
1392 1
2.4%
1410 1
2.4%
1532 1
2.4%
1558 1
2.4%
1586 1
2.4%
1602 1
2.4%
1902 1
2.4%
2326 1
2.4%
ValueCountFrequency (%)
13712 1
2.4%
10225 1
2.4%
10214 1
2.4%
8952 1
2.4%
7748 1
2.4%
7704 1
2.4%
7611 1
2.4%
7592 1
2.4%
7100 1
2.4%
6075 1
2.4%

2021-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4444.5122
Minimum1246
Maximum13807
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:17.992894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1246
5-th percentile1401
Q12585
median3570
Q35671
95-th percentile10240
Maximum13807
Range12561
Interquartile range (IQR)3086

Descriptive statistics

Standard deviation2894.4684
Coefficient of variation (CV)0.65124546
Kurtosis1.5936124
Mean4444.5122
Median Absolute Deviation (MAD)1423
Skewness1.3048641
Sum182225
Variance8377947.3
MonotonicityNot monotonic
2023-12-12T09:14:18.111453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4151 1
 
2.4%
3032 1
 
2.4%
3679 1
 
2.4%
3543 1
 
2.4%
3476 1
 
2.4%
4154 1
 
2.4%
2943 1
 
2.4%
3619 1
 
2.4%
2695 1
 
2.4%
3570 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1246 1
2.4%
1293 1
2.4%
1401 1
2.4%
1415 1
2.4%
1541 1
2.4%
1572 1
2.4%
1596 1
2.4%
1616 1
2.4%
1913 1
2.4%
2343 1
2.4%
ValueCountFrequency (%)
13807 1
2.4%
10283 1
2.4%
10240 1
2.4%
8997 1
2.4%
7821 1
2.4%
7773 1
2.4%
7641 1
2.4%
7623 1
2.4%
7132 1
2.4%
6127 1
2.4%

2021-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4501.0732
Minimum1252
Maximum14001
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:18.256353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1252
5-th percentile1413
Q12653
median3612
Q35653
95-th percentile10283
Maximum14001
Range12749
Interquartile range (IQR)3000

Descriptive statistics

Standard deviation2923.763
Coefficient of variation (CV)0.6495702
Kurtosis1.6301665
Mean4501.0732
Median Absolute Deviation (MAD)1443
Skewness1.3046743
Sum184544
Variance8548390
MonotonicityNot monotonic
2023-12-12T09:14:18.406749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4209 1
 
2.4%
3056 1
 
2.4%
3773 1
 
2.4%
3605 1
 
2.4%
3512 1
 
2.4%
4260 1
 
2.4%
2995 1
 
2.4%
3652 1
 
2.4%
2727 1
 
2.4%
3612 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1252 1
2.4%
1305 1
2.4%
1413 1
2.4%
1428 1
2.4%
1554 1
2.4%
1594 1
2.4%
1613 1
2.4%
1634 1
2.4%
1928 1
2.4%
2370 1
2.4%
ValueCountFrequency (%)
14001 1
2.4%
10398 1
2.4%
10283 1
2.4%
9082 1
2.4%
8013 1
2.4%
7824 1
2.4%
7694 1
2.4%
7678 1
2.4%
7189 1
2.4%
6221 1
2.4%

2021-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5257.2439
Minimum1228
Maximum15485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:18.522499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1228
5-th percentile1524
Q12610
median4076
Q37371
95-th percentile11591
Maximum15485
Range14257
Interquartile range (IQR)4761

Descriptive statistics

Standard deviation3479.4658
Coefficient of variation (CV)0.66184219
Kurtosis0.51417482
Mean5257.2439
Median Absolute Deviation (MAD)1899
Skewness1.048774
Sum215547
Variance12106682
MonotonicityNot monotonic
2023-12-12T09:14:18.651922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4788 1
 
2.4%
3343 1
 
2.4%
4053 1
 
2.4%
4292 1
 
2.4%
4458 1
 
2.4%
4977 1
 
2.4%
3328 1
 
2.4%
4076 1
 
2.4%
2988 1
 
2.4%
3789 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1228 1
2.4%
1398 1
2.4%
1524 1
2.4%
1558 1
2.4%
1603 1
2.4%
1737 1
2.4%
1868 1
2.4%
1877 1
2.4%
2177 1
2.4%
2520 1
2.4%
ValueCountFrequency (%)
15485 1
2.4%
11972 1
2.4%
11591 1
2.4%
10799 1
2.4%
9714 1
2.4%
9561 1
2.4%
9506 1
2.4%
9318 1
2.4%
9270 1
2.4%
7687 1
2.4%

2021-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5282.9756
Minimum1231
Maximum15527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:18.877753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1231
5-th percentile1537
Q12615
median4114
Q37427
95-th percentile11528
Maximum15527
Range14296
Interquartile range (IQR)4812

Descriptive statistics

Standard deviation3479.5779
Coefficient of variation (CV)0.65863979
Kurtosis0.50506675
Mean5282.9756
Median Absolute Deviation (MAD)1952
Skewness1.0350271
Sum216602
Variance12107463
MonotonicityNot monotonic
2023-12-12T09:14:19.032750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4815 1
 
2.4%
3330 1
 
2.4%
4114 1
 
2.4%
4339 1
 
2.4%
4498 1
 
2.4%
5052 1
 
2.4%
3357 1
 
2.4%
4044 1
 
2.4%
3017 1
 
2.4%
3826 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1231 1
2.4%
1388 1
2.4%
1537 1
2.4%
1575 1
2.4%
1606 1
2.4%
1736 1
2.4%
1854 1
2.4%
1891 1
2.4%
2162 1
2.4%
2562 1
2.4%
ValueCountFrequency (%)
15527 1
2.4%
11962 1
2.4%
11528 1
2.4%
10787 1
2.4%
9734 1
2.4%
9701 1
2.4%
9488 1
2.4%
9291 1
2.4%
9277 1
2.4%
7656 1
2.4%

2021-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5334.0976
Minimum1237
Maximum15727
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:19.180810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1237
5-th percentile1550
Q12634
median4184
Q37516
95-th percentile11608
Maximum15727
Range14490
Interquartile range (IQR)4882

Descriptive statistics

Standard deviation3512.8148
Coefficient of variation (CV)0.65855842
Kurtosis0.53883582
Mean5334.0976
Median Absolute Deviation (MAD)2002
Skewness1.0392026
Sum218698
Variance12339868
MonotonicityNot monotonic
2023-12-12T09:14:19.671899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4866 1
 
2.4%
3351 1
 
2.4%
4184 1
 
2.4%
4379 1
 
2.4%
4520 1
 
2.4%
5122 1
 
2.4%
3388 1
 
2.4%
4050 1
 
2.4%
3046 1
 
2.4%
3860 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1237 1
2.4%
1396 1
2.4%
1550 1
2.4%
1593 1
2.4%
1620 1
2.4%
1751 1
2.4%
1871 1
2.4%
1911 1
2.4%
2182 1
2.4%
2592 1
2.4%
ValueCountFrequency (%)
15727 1
2.4%
12082 1
2.4%
11608 1
2.4%
10877 1
2.4%
9873 1
2.4%
9764 1
2.4%
9553 1
2.4%
9351 1
2.4%
9337 1
2.4%
7639 1
2.4%

2021-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5384.1707
Minimum1243
Maximum15907
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:19.805955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1243
5-th percentile1563
Q12656
median4253
Q37596
95-th percentile11712
Maximum15907
Range14664
Interquartile range (IQR)4940

Descriptive statistics

Standard deviation3543.4958
Coefficient of variation (CV)0.65813215
Kurtosis0.56756825
Mean5384.1707
Median Absolute Deviation (MAD)2042
Skewness1.0433717
Sum220751
Variance12556363
MonotonicityNot monotonic
2023-12-12T09:14:19.964304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4915 1
 
2.4%
3371 1
 
2.4%
4253 1
 
2.4%
4423 1
 
2.4%
4551 1
 
2.4%
5196 1
 
2.4%
3421 1
 
2.4%
4050 1
 
2.4%
3081 1
 
2.4%
3895 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1243 1
2.4%
1406 1
2.4%
1563 1
2.4%
1612 1
2.4%
1633 1
2.4%
1770 1
2.4%
1892 1
2.4%
1938 1
2.4%
2211 1
2.4%
2625 1
2.4%
ValueCountFrequency (%)
15907 1
2.4%
12192 1
2.4%
11712 1
2.4%
10964 1
2.4%
9988 1
2.4%
9830 1
2.4%
9616 1
2.4%
9426 1
2.4%
9388 1
2.4%
7619 1
2.4%

2021-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5416.9512
Minimum1247
Maximum16046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:20.116874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1247
5-th percentile1573
Q12670
median4297
Q37551
95-th percentile11800
Maximum16046
Range14799
Interquartile range (IQR)4881

Descriptive statistics

Standard deviation3565.7677
Coefficient of variation (CV)0.658261
Kurtosis0.6018108
Mean5416.9512
Median Absolute Deviation (MAD)2061
Skewness1.0514827
Sum222095
Variance12714699
MonotonicityNot monotonic
2023-12-12T09:14:20.239021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4947 1
 
2.4%
3384 1
 
2.4%
4297 1
 
2.4%
4452 1
 
2.4%
4577 1
 
2.4%
5236 1
 
2.4%
3443 1
 
2.4%
4047 1
 
2.4%
3108 1
 
2.4%
3915 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1247 1
2.4%
1413 1
2.4%
1573 1
2.4%
1635 1
2.4%
1647 1
2.4%
1784 1
2.4%
1908 1
2.4%
1954 1
2.4%
2236 1
2.4%
2645 1
2.4%
ValueCountFrequency (%)
16046 1
2.4%
12277 1
2.4%
11800 1
2.4%
11030 1
2.4%
10045 1
2.4%
9880 1
2.4%
9664 1
2.4%
9483 1
2.4%
9423 1
2.4%
7649 1
2.4%

2021-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5426.439
Minimum1249
Maximum16115
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:20.370214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1249
5-th percentile1579
Q12675
median4318
Q37373
95-th percentile11831
Maximum16115
Range14866
Interquartile range (IQR)4698

Descriptive statistics

Standard deviation3573.1072
Coefficient of variation (CV)0.6584626
Kurtosis0.63761244
Mean5426.439
Median Absolute Deviation (MAD)2069
Skewness1.0614909
Sum222484
Variance12767095
MonotonicityNot monotonic
2023-12-12T09:14:20.491827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4959 1
 
2.4%
3388 1
 
2.4%
4318 1
 
2.4%
4461 1
 
2.4%
4584 1
 
2.4%
5253 1
 
2.4%
3448 1
 
2.4%
4040 1
 
2.4%
3126 1
 
2.4%
3918 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1249 1
2.4%
1418 1
2.4%
1579 1
2.4%
1652 1
2.4%
1656 1
2.4%
1791 1
2.4%
1917 1
2.4%
1960 1
2.4%
2249 1
2.4%
2653 1
2.4%
ValueCountFrequency (%)
16115 1
2.4%
12317 1
2.4%
11831 1
2.4%
11059 1
2.4%
10070 1
2.4%
9897 1
2.4%
9685 1
2.4%
9496 1
2.4%
9438 1
2.4%
7670 1
2.4%

2022-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5425.7805
Minimum1249
Maximum16127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:20.605547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1249
5-th percentile1584
Q12676
median4320
Q37296
95-th percentile11834
Maximum16127
Range14878
Interquartile range (IQR)4620

Descriptive statistics

Standard deviation3572.3953
Coefficient of variation (CV)0.65841132
Kurtosis0.652937
Mean5425.7805
Median Absolute Deviation (MAD)2063
Skewness1.0665128
Sum222457
Variance12762008
MonotonicityNot monotonic
2023-12-12T09:14:20.723739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4960 1
 
2.4%
3387 1
 
2.4%
4320 1
 
2.4%
4462 1
 
2.4%
4587 1
 
2.4%
5251 1
 
2.4%
3448 1
 
2.4%
4027 1
 
2.4%
3137 1
 
2.4%
3911 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1249 1
2.4%
1421 1
2.4%
1584 1
2.4%
1658 1
2.4%
1660 1
2.4%
1796 1
2.4%
1921 1
2.4%
1963 1
2.4%
2257 1
2.4%
2659 1
2.4%
ValueCountFrequency (%)
16127 1
2.4%
12326 1
2.4%
11834 1
2.4%
11062 1
2.4%
10063 1
2.4%
9896 1
2.4%
9691 1
2.4%
9494 1
2.4%
9438 1
2.4%
7670 1
2.4%

2022-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5420.9512
Minimum1249
Maximum16121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:20.851590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1249
5-th percentile1586
Q12675
median4317
Q37238
95-th percentile11822
Maximum16121
Range14872
Interquartile range (IQR)4563

Descriptive statistics

Standard deviation3567.8793
Coefficient of variation (CV)0.6581648
Kurtosis0.66520946
Mean5420.9512
Median Absolute Deviation (MAD)2054
Skewness1.070269
Sum222259
Variance12729763
MonotonicityNot monotonic
2023-12-12T09:14:20.982203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4956 1
 
2.4%
3387 1
 
2.4%
4317 1
 
2.4%
4461 1
 
2.4%
4586 1
 
2.4%
5251 1
 
2.4%
3447 1
 
2.4%
4009 1
 
2.4%
3143 1
 
2.4%
3902 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1249 1
2.4%
1422 1
2.4%
1586 1
2.4%
1664 1
2.4%
1665 1
2.4%
1798 1
2.4%
1922 1
2.4%
1964 1
2.4%
2263 1
2.4%
2664 1
2.4%
ValueCountFrequency (%)
16121 1
2.4%
12322 1
2.4%
11822 1
2.4%
11053 1
2.4%
10055 1
2.4%
9883 1
2.4%
9688 1
2.4%
9468 1
2.4%
9432 1
2.4%
7663 1
2.4%

2022-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5414.3902
Minimum1248
Maximum16121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:21.093791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1248
5-th percentile1589
Q12673
median4310
Q37184
95-th percentile11763
Maximum16121
Range14873
Interquartile range (IQR)4511

Descriptive statistics

Standard deviation3562.378
Coefficient of variation (CV)0.6579463
Kurtosis0.68162902
Mean5414.3902
Median Absolute Deviation (MAD)2041
Skewness1.0746028
Sum221990
Variance12690537
MonotonicityNot monotonic
2023-12-12T09:14:21.215673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4951 1
 
2.4%
3384 1
 
2.4%
4310 1
 
2.4%
4462 1
 
2.4%
4586 1
 
2.4%
5250 1
 
2.4%
3450 1
 
2.4%
3983 1
 
2.4%
3149 1
 
2.4%
3893 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1248 1
2.4%
1423 1
2.4%
1589 1
2.4%
1667 1
2.4%
1674 1
2.4%
1800 1
2.4%
1921 1
2.4%
1963 1
2.4%
2269 1
2.4%
2667 1
2.4%
ValueCountFrequency (%)
16121 1
2.4%
12318 1
2.4%
11763 1
2.4%
11044 1
2.4%
10046 1
2.4%
9868 1
2.4%
9683 1
2.4%
9463 1
2.4%
9426 1
2.4%
7654 1
2.4%

2022-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5413.2683
Minimum1248
Maximum16148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:21.366622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1248
5-th percentile1595
Q12672
median4307
Q37136
95-th percentile11772
Maximum16148
Range14900
Interquartile range (IQR)4464

Descriptive statistics

Standard deviation3564.6179
Coefficient of variation (CV)0.65849645
Kurtosis0.7013444
Mean5413.2683
Median Absolute Deviation (MAD)2033
Skewness1.0810272
Sum221944
Variance12706501
MonotonicityNot monotonic
2023-12-12T09:14:21.479702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4949 1
 
2.4%
3380 1
 
2.4%
4307 1
 
2.4%
4463 1
 
2.4%
4585 1
 
2.4%
5254 1
 
2.4%
3452 1
 
2.4%
3960 1
 
2.4%
3154 1
 
2.4%
3884 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1248 1
2.4%
1425 1
2.4%
1595 1
2.4%
1672 1
2.4%
1683 1
2.4%
1802 1
2.4%
1918 1
2.4%
1962 1
2.4%
2274 1
2.4%
2669 1
2.4%
ValueCountFrequency (%)
16148 1
2.4%
12330 1
2.4%
11772 1
2.4%
11050 1
2.4%
10044 1
2.4%
9869 1
2.4%
9684 1
2.4%
9462 1
2.4%
9425 1
2.4%
7653 1
2.4%

2022-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5408.5122
Minimum1248
Maximum16119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:21.600852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1248
5-th percentile1601
Q12672
median4293
Q37091
95-th percentile11784
Maximum16119
Range14871
Interquartile range (IQR)4419

Descriptive statistics

Standard deviation3561.6141
Coefficient of variation (CV)0.65852011
Kurtosis0.6931822
Mean5408.5122
Median Absolute Deviation (MAD)2013
Skewness1.0816067
Sum221749
Variance12685095
MonotonicityNot monotonic
2023-12-12T09:14:21.728528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4945 1
 
2.4%
3379 1
 
2.4%
4293 1
 
2.4%
4462 1
 
2.4%
4581 1
 
2.4%
5259 1
 
2.4%
3450 1
 
2.4%
3930 1
 
2.4%
3158 1
 
2.4%
3874 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1248 1
2.4%
1425 1
2.4%
1601 1
2.4%
1676 1
2.4%
1692 1
2.4%
1804 1
2.4%
1913 1
2.4%
1961 1
2.4%
2280 1
2.4%
2669 1
2.4%
ValueCountFrequency (%)
16119 1
2.4%
12318 1
2.4%
11784 1
2.4%
11045 1
2.4%
10043 1
2.4%
9871 1
2.4%
9682 1
2.4%
9463 1
2.4%
9426 1
2.4%
7645 1
2.4%

2022-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5400.5122
Minimum1246
Maximum16124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:21.849878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1246
5-th percentile1602
Q12669
median4284
Q37038
95-th percentile11793
Maximum16124
Range14878
Interquartile range (IQR)4369

Descriptive statistics

Standard deviation3561.6107
Coefficient of variation (CV)0.65949498
Kurtosis0.70845775
Mean5400.5122
Median Absolute Deviation (MAD)2001
Skewness1.088462
Sum221421
Variance12685071
MonotonicityNot monotonic
2023-12-12T09:14:21.989863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4937 1
 
2.4%
3372 1
 
2.4%
4284 1
 
2.4%
4449 1
 
2.4%
4547 1
 
2.4%
5256 1
 
2.4%
3452 1
 
2.4%
3904 1
 
2.4%
3160 1
 
2.4%
3866 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1246 1
2.4%
1425 1
2.4%
1602 1
2.4%
1678 1
2.4%
1701 1
2.4%
1803 1
2.4%
1910 1
2.4%
1958 1
2.4%
2283 1
2.4%
2664 1
2.4%
ValueCountFrequency (%)
16124 1
2.4%
12320 1
2.4%
11793 1
2.4%
11043 1
2.4%
10039 1
2.4%
9865 1
2.4%
9681 1
2.4%
9444 1
2.4%
9422 1
2.4%
7635 1
2.4%

2022-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5390.1707
Minimum1244
Maximum16118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:22.123307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1244
5-th percentile1606
Q12671
median4268
Q36983
95-th percentile11787
Maximum16118
Range14874
Interquartile range (IQR)4312

Descriptive statistics

Standard deviation3557.6444
Coefficient of variation (CV)0.66002443
Kurtosis0.72568171
Mean5390.1707
Median Absolute Deviation (MAD)1988
Skewness1.0947924
Sum220997
Variance12656833
MonotonicityNot monotonic
2023-12-12T09:14:22.239517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4927 1
 
2.4%
3363 1
 
2.4%
4268 1
 
2.4%
4440 1
 
2.4%
4538 1
 
2.4%
5244 1
 
2.4%
3449 1
 
2.4%
3884 1
 
2.4%
3157 1
 
2.4%
3852 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1244 1
2.4%
1423 1
2.4%
1606 1
2.4%
1679 1
2.4%
1709 1
2.4%
1802 1
2.4%
1908 1
2.4%
1957 1
2.4%
2280 1
2.4%
2659 1
2.4%
ValueCountFrequency (%)
16118 1
2.4%
12313 1
2.4%
11787 1
2.4%
11031 1
2.4%
10023 1
2.4%
9846 1
2.4%
9674 1
2.4%
9424 1
2.4%
9402 1
2.4%
7620 1
2.4%

2022-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5364.3659
Minimum1241
Maximum16079
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:22.378026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1241
5-th percentile1603
Q12668
median4229
Q36891
95-th percentile11754
Maximum16079
Range14838
Interquartile range (IQR)4223

Descriptive statistics

Standard deviation3546.5372
Coefficient of variation (CV)0.66112887
Kurtosis0.74862939
Mean5364.3659
Median Absolute Deviation (MAD)1964
Skewness1.103984
Sum219939
Variance12577926
MonotonicityNot monotonic
2023-12-12T09:14:22.541583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4902 1
 
2.4%
3340 1
 
2.4%
4229 1
 
2.4%
4419 1
 
2.4%
4513 1
 
2.4%
5216 1
 
2.4%
3441 1
 
2.4%
3853 1
 
2.4%
3151 1
 
2.4%
3823 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1241 1
2.4%
1420 1
2.4%
1603 1
2.4%
1679 1
2.4%
1712 1
2.4%
1796 1
2.4%
1901 1
2.4%
1950 1
2.4%
2265 1
2.4%
2645 1
2.4%
ValueCountFrequency (%)
16079 1
2.4%
12286 1
2.4%
11754 1
2.4%
10997 1
2.4%
9968 1
2.4%
9806 1
2.4%
9655 1
2.4%
9385 1
2.4%
9360 1
2.4%
7582 1
2.4%

2022-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5324.0976
Minimum1236
Maximum15989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:22.675633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1236
5-th percentile1599
Q12662
median4178
Q36776
95-th percentile11698
Maximum15989
Range14753
Interquartile range (IQR)4114

Descriptive statistics

Standard deviation3524.8029
Coefficient of variation (CV)0.66204701
Kurtosis0.76981848
Mean5324.0976
Median Absolute Deviation (MAD)1927
Skewness1.1138629
Sum218288
Variance12424235
MonotonicityNot monotonic
2023-12-12T09:14:22.835561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4865 1
 
2.4%
3312 1
 
2.4%
4178 1
 
2.4%
4385 1
 
2.4%
4477 1
 
2.4%
5167 1
 
2.4%
3427 1
 
2.4%
3813 1
 
2.4%
3129 1
 
2.4%
3777 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1236 1
2.4%
1415 1
2.4%
1599 1
2.4%
1677 1
2.4%
1716 1
2.4%
1789 1
2.4%
1891 1
2.4%
1941 1
2.4%
2251 1
2.4%
2627 1
2.4%
ValueCountFrequency (%)
15989 1
2.4%
12222 1
2.4%
11698 1
2.4%
10934 1
2.4%
9882 1
2.4%
9744 1
2.4%
9608 1
2.4%
9323 1
2.4%
9297 1
2.4%
7521 1
2.4%

2022-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5262.8537
Minimum1229
Maximum15796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:23.026857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1229
5-th percentile1591
Q12654
median4103
Q36653
95-th percentile11611
Maximum15796
Range14567
Interquartile range (IQR)3999

Descriptive statistics

Standard deviation3486.1244
Coefficient of variation (CV)0.66240193
Kurtosis0.76785227
Mean5262.8537
Median Absolute Deviation (MAD)1876
Skewness1.119785
Sum215777
Variance12153063
MonotonicityNot monotonic
2023-12-12T09:14:23.162943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4807 1
 
2.4%
3275 1
 
2.4%
4103 1
 
2.4%
4326 1
 
2.4%
4412 1
 
2.4%
5084 1
 
2.4%
3405 1
 
2.4%
3762 1
 
2.4%
3105 1
 
2.4%
3725 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1229 1
2.4%
1408 1
2.4%
1591 1
2.4%
1671 1
2.4%
1715 1
2.4%
1776 1
2.4%
1876 1
2.4%
1925 1
2.4%
2227 1
2.4%
2600 1
2.4%
ValueCountFrequency (%)
15796 1
2.4%
12094 1
2.4%
11611 1
2.4%
10825 1
2.4%
9746 1
2.4%
9654 1
2.4%
9524 1
2.4%
9247 1
2.4%
9203 1
2.4%
7428 1
2.4%

2022-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5166.1707
Minimum1218
Maximum15523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:23.292309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1218
5-th percentile1568
Q12644
median3977
Q36470
95-th percentile11488
Maximum15523
Range14305
Interquartile range (IQR)3826

Descriptive statistics

Standard deviation3427.4056
Coefficient of variation (CV)0.66343251
Kurtosis0.78546236
Mean5166.1707
Median Absolute Deviation (MAD)1842
Skewness1.1323884
Sum211813
Variance11747109
MonotonicityNot monotonic
2023-12-12T09:14:23.427635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4714 1
 
2.4%
3198 1
 
2.4%
3977 1
 
2.4%
4247 1
 
2.4%
4344 1
 
2.4%
4966 1
 
2.4%
3352 1
 
2.4%
3685 1
 
2.4%
3048 1
 
2.4%
3646 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1218 1
2.4%
1394 1
2.4%
1568 1
2.4%
1662 1
2.4%
1700 1
2.4%
1754 1
2.4%
1859 1
2.4%
1906 1
2.4%
2182 1
2.4%
2557 1
2.4%
ValueCountFrequency (%)
15523 1
2.4%
11900 1
2.4%
11488 1
2.4%
10654 1
2.4%
9504 1
2.4%
9486 1
2.4%
9384 1
2.4%
9132 1
2.4%
9032 1
2.4%
7277 1
2.4%

2022-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5027.6829
Minimum1204
Maximum15201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T09:14:23.580098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1204
5-th percentile1543
Q12613
median3813
Q36095
95-th percentile11278
Maximum15201
Range13997
Interquartile range (IQR)3482

Descriptive statistics

Standard deviation3346.27
Coefficient of variation (CV)0.66556903
Kurtosis0.86800956
Mean5027.6829
Median Absolute Deviation (MAD)1844
Skewness1.1631982
Sum206135
Variance11197523
MonotonicityNot monotonic
2023-12-12T09:14:23.702486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
4585 1
 
2.4%
3123 1
 
2.4%
3813 1
 
2.4%
4146 1
 
2.4%
4256 1
 
2.4%
4819 1
 
2.4%
3281 1
 
2.4%
3571 1
 
2.4%
2987 1
 
2.4%
3540 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1204 1
2.4%
1374 1
2.4%
1543 1
2.4%
1651 1
2.4%
1659 1
2.4%
1725 1
2.4%
1836 1
2.4%
1874 1
2.4%
2124 1
2.4%
2499 1
2.4%
ValueCountFrequency (%)
15201 1
2.4%
11663 1
2.4%
11278 1
2.4%
10416 1
2.4%
9264 1
2.4%
9204 1
2.4%
9133 1
2.4%
8908 1
2.4%
8781 1
2.4%
7065 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
0전국261026082604259825912581256925562544253525272518250725012498249625012500249524892491250025042508252625332541254325432543254325462555256325682572257025772588260326152629270627162727273927462752275327512750275127532754275827632772278027872788278927902794279828042815282228322835284028463208322632453256326032613261326232693294330533093308352235143505349434873483348334843488349935143544372637423768378037833801383738633885389839243964400240484083411741514209478848154866491549474959496049564951494949454937492749024865480747144585
1수도권383838313820380437913771374937243700368036643630360935963590358235893584357135593561357435793581360236133626362636233622362136263640365236583660364136523668369237123733380238183835385438633873387338693869387138773881389139013895390939213923392339253933394139533975398940094014402440384576461646584681469346984702470847294782480748154815516251485134511751075103510651135123514651745228552655535599562056265651570657415767578158085846589659686022607561276221737174277516759676497670767076637654765376457635762075827521742872777065
2지방권147314751478148014811479147614741473147414741480148014791480148314871489149214921494149815031508152415271530153315351537153915421545155015541559157415771582159015951601171517191725173117361739173917391738173717371735173417341758176017631763176417641765176517661767176717691770177017691968196619651964196219581954195119461944194419441942203220292025201920152011200720042002200320052013207920862094209620982109212621452163217622002243227022932310232623432370261026152634265626702675267626752673267226692664265926452627260025572499
36대광역시204420432044204420422037203120232019201620152019201620122010201620202023202620262027203520422048207420782084208820912093209620992104211021162121213521412149216321732185229823062314232423342338233823382337233823382339234023432366237223782382238323852386238823902394239724042409241224152738273927402741274227412739273627332735274127462750284928462843283928372835283328322835284028492867299030033029304230493069308831073131315231923254329933433381341534513506388939173954399140154024402340194012400739973986397439473909385537683656
45대광역시194819481951195219521949194419381936193719381945194619451945195119551960196419651967197319801987201020152020202420272029203320362042204820542060207420792087210121112123226622742283229423042308230823082307230723082308230823102335234223492353235523572358236023632366236923752379238223852717271827192720272127202717271527122715272127262728282828252822281728142812280928092811281728272845295029622971297429772993301230343063308831353210325732993330335433823426383538523879390839263931392939243917391139033891388038573823377537003604
59개도193419341934193219281923191519071899189218861885187618711868186818721873187118681869187518801884190019051912191219121913191319151923193019351938194619521959197019781987205720642071207920852088209020902089208820882088208920902110211121132113211221132113211421152118212021262128213021312316231723222326232823262324232223212331233823412339247324682461245124422437243424332434243824442458257625962627264426522670269727192737274727692804283828822917295029803033344534863533357736043615361636153612361136093601359435733544349934273325
68개도116511671171117311741174117211721172117311731177117611761177117911821183118411851186118911931196120612081211121312151216121812201223122612301233124812501252125612581261133913421345134713491351135213521350134913471345134313411362136113591358135713571357135613551354135213511349134813451453145014471444144014351430142514191414141014061401147814741470146514601456145114461441143814361436147414761478147814781485149515031508151215221543155715671576158615961613173717361751177017841791179617981800180218041803180217961789177617541725
7서울546554535432540253815348531952785245521851995154512651115112509551055091506550445048506750695067508250975111511251085104510451095127514351485147513851525176520652345265532153455372539954075423542354125411541754295435545454735459549355145517551755225540555755805631565556855687570457296688678468776922694169516960697370277131716471677161788678607833781578057803781378267840788379338034861186158619860685898601867687158738874987628788882888828916895289979082107991078710877109641103011059110621105311044110501104511043110311099710934108251065410416
8서울 강북지역454345404528451344984485447244574442442644084393437843644356434643474339432543064298430943104313433643464354435843574355435243524359436943764378435743664379439644094427437343904410443244524461446344664468447144754480449045024517453345494556455945614565457945954620464346624667467646905627565957095748576857865806582458675936596359815989671467066695668666806678668466956704673167616797725972767293730373017308736774057430744374587481750975547584761176417694971497019764983098809897989698839868986998719865984698069744965495049264
9서울 강북지역 도심권59835981596359595954594159305908588758615837583158235818580857845778575957445725571657145712571057135708570657055703570157015700570357115717570957195725573557465757577358825893590359175931593759415942594559495955596759946010602560406055606460726078609161096129616361936223623462456266750675627673774477787809784078837975806881238153817590539044903690299028902990349051907391149157920798679884990199019897990899621000310032100481006710094101221016410190102141024010283115911152811608117121180011831118341182211763117721178411793117871175411698116111148811278
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
31울산209521122126214121542164215321482145214321502148214521422139214121412143214521422141214621512152216821772182218721932202221122182225223122372243225522602264227322812291243424402449245924672474248024852488249024932494248824852516251925202519251625152514251225092506250324992498249524882740273127232716270426852670265026272611259125682544256825562545253225242516251025062501250325122526259726122625263126362648266826892721275027942899295929893007301930323056334333303351337133843388338733873384338033793372336333403312327531983123
32세종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1118113011411155116311721176117511721174118111851187126412651265126312591256125112461243124612461246144414451445144514441445197619761977197919791979198019821983198419861987199119952329233223412345234623452345235223752437246024762476247624763029303530413047305830653071308030823077307730843086358335783565354035313511349434873485348534873527394540394266435143654468474952065429549055365572560556365656567156715653768776567639761975517373729672387184713670917038698368916776665364706095
33강원106710721075107810781078107710761075107510741076107510731070106910701068106610651065106810711074107710761076107610761075107510751075107610781079107910801082108510881091119311951198120212071209121112121213121512171219121912201228123112341237123912401243124712511253125512581261126512671460145814581458145614521445144014331429142314171409146614621457145214451439143214241416141214101406144414451447144714451449145614621467147314801488149915121523153215411554160316061620163316471656166016641667167216761678167916791677167116621651
34충북125812601265127012751277127712771275127612771279127712781278128212831284128412851286128712921295130213031306130913111313131713191323132913351340133613391344134913511352142014261427142714261425142314221420141814161415141014071415141414131412141114131412141014081406140414021399139813961450144514411438143314261421141614111406139913931387142314181412140413971388138213771372136713641365141614171420142214261466147814811483148414891505151615291543155815721594187718911911193819541960196319641963196219611958195719501941192519061874
35충남104610481054105810621064106710721076107910831121112511261128113111351137113911401142114811581164118411871193119812011205120912111213121812211224123612371239124112431243127212721272127112721270126812641261125812541251124812451262126012561254125212491248124412421239123812351234123312311320131713131310130613011297129412891287128312811277141414101405140113971394139113891387138713891392143214351437143814391443146314821497150515181537155415701585160216161634186818541871189219081917192119221921191819131910190819011891187618591836
36전북111011121120112211201116111111081100109510881064105710561054105410541051104910471046104610471048105010501050104910481047104510441045104510451044105710571057105810581057112911301132113411351136113611361135113511351135113511351137113711371138113911401141114311451147114911511153115611581316131513151314131313111308130613051306130613071307132713261322131813151311130813051300129712951294132613281331133313351338134613501356136013681394139814011404141014151428152415371550156315731579158415861589159516011602160616031599159115681543
37전남7817837827867877907897907917927897967957937927907897887867847837837827817877867857857847827807797797797797788108098098108108118908918938948968989009019019029049059129139329339359379389399419439469489509539559589601061106310671068107010691070107110721074107710811083117611771177117811791179118011811182118311841184120512061208120612071210121312171220122412301235123812401241124312461252122812311237124312471249124912491248124812481246124412411236122912181204
38경북94594795295696096396697197698098499499910031008101310201026103610401045105310581065107910871092109711011103110511081111111511191123113611391144114911521157119111951201120312041203120111991196119311891185117711731169116711641160115811561153115011481146114411421139113611331206120312001197119411901187118411791174117011661161121312091205119911941190118711831180117711751173120112011200119911991200120512121217122012241237125312671275128412931305139813881396140614131418142114221423142514251425142314201415140813941374
39경남171317111712170917051698168916831681168016781672166616631663166716711673167316711672167616791680168816901693169516981701170517101715172317281734175217561759176417671771186118621865186818701873187218721869186818661861185918561869186618621858185518551855185218481843183718281821181318011821181218051798178817751764175217361724171317041693176617601754174617391731172117131705170016981702173817431747174817471752176717761781178518041852187418861893190219131928217721622182221122362249225722632269227422802283228022652251222721822124
40제주943962964970983983983984983983983100210011000100010011000100110009999989979981001102810301029102810291027102710291031103410371046110611121118112511311137144714581470148014991533156715901599160216021602160215981895189919061912191619171918191819161921192519331936193819402425242324242425242124182418241524142413241124092409257625752572257125692568256325542545253425212509257025652559255225432537253425322530252825272528253425422548255625852653252025622592262526452653265926642667266926722669267126682662265426442613