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 중위단위매매가격 데이터입니다. - 단위 : 천원/㎡ - 공표시기(월간) : 익월 15일(발표일이 휴일인 경우 그 다음날)
Author한국부동산원
URLhttps://www.data.go.kr/data/15112207/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
2013-06 has unique valuesUnique
2013-07 has unique valuesUnique
2013-08 has unique valuesUnique
2013-09 has unique valuesUnique
2013-10 has unique valuesUnique
2013-12 has unique valuesUnique
2014-01 has unique valuesUnique
2014-02 has unique valuesUnique
2014-04 has unique valuesUnique
2014-05 has unique valuesUnique
2014-06 has unique valuesUnique
2014-07 has unique valuesUnique
2014-08 has unique valuesUnique
2014-09 has unique valuesUnique
2014-10 has unique valuesUnique
2014-11 has unique valuesUnique
2014-12 has unique valuesUnique
2015-01 has unique valuesUnique
2015-02 has unique valuesUnique
2015-03 has unique valuesUnique
2015-04 has unique valuesUnique
2015-05 has unique valuesUnique
2015-06 has unique valuesUnique
2015-07 has unique valuesUnique
2015-08 has unique valuesUnique
2015-09 has unique valuesUnique
2015-10 has unique valuesUnique
2015-11 has unique valuesUnique
2015-12 has unique valuesUnique
2016-03 has unique valuesUnique
2016-04 has unique valuesUnique
2016-05 has unique valuesUnique
2016-06 has unique valuesUnique
2016-07 has unique valuesUnique
2016-08 has unique valuesUnique
2016-09 has unique valuesUnique
2016-11 has unique valuesUnique
2016-12 has unique valuesUnique
2017-02 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
2018-03 has unique valuesUnique
2018-04 has unique valuesUnique
2018-05 has unique valuesUnique
2018-06 has unique valuesUnique
2018-08 has unique valuesUnique
2018-09 has unique valuesUnique
2018-10 has unique valuesUnique
2018-12 has unique valuesUnique
2019-01 has unique valuesUnique
2019-02 has unique valuesUnique
2019-04 has unique valuesUnique
2019-05 has unique valuesUnique
2019-06 has unique valuesUnique
2019-07 has unique valuesUnique
2019-08 has unique valuesUnique
2019-09 has unique valuesUnique
2019-10 has unique valuesUnique
2019-11 has unique valuesUnique
2019-12 has unique valuesUnique
2020-01 has unique valuesUnique
2020-02 has unique valuesUnique
2020-03 has unique valuesUnique
2020-04 has unique valuesUnique
2020-05 has unique valuesUnique
2020-07 has unique valuesUnique
2020-08 has unique valuesUnique
2020-09 has unique valuesUnique
2020-10 has unique valuesUnique
2020-11 has unique valuesUnique
2021-02 has unique valuesUnique
2021-04 has unique valuesUnique
2021-05 has unique valuesUnique
2021-06 has unique valuesUnique
2021-07 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 05:26:45.979777
Analysis finished2023-12-12 05:26:47.202021
Duration1.22 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
2023-12-12T14:26:47.386692image/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%
2023-12-12T14:26:47.793878image/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%
Mean2642.975
Minimum738
Maximum8148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:47.974581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum738
5-th percentile896.7
Q11414
median2052
Q33098.25
95-th percentile5832.8
Maximum8148
Range7410
Interquartile range (IQR)1684.25

Descriptive statistics

Standard deviation1674.0668
Coefficient of variation (CV)0.63340242
Kurtosis1.895546
Mean2642.975
Median Absolute Deviation (MAD)818
Skewness1.3971462
Sum105719
Variance2802499.5
MonotonicityNot monotonic
2023-12-12T14:26:48.132897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2542 1
 
2.4%
2721 1
 
2.4%
2309 1
 
2.4%
2155 1
 
2.4%
2055 1
 
2.4%
2390 1
 
2.4%
2049 1
 
2.4%
1712 1
 
2.4%
1363 1
 
2.4%
2023 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
738 1
2.4%
872 1
2.4%
898 1
2.4%
1010 1
2.4%
1012 1
2.4%
1075 1
2.4%
1130 1
2.4%
1209 1
2.4%
1242 1
2.4%
1363 1
2.4%
ValueCountFrequency (%)
8148 1
2.4%
6171 1
2.4%
5815 1
2.4%
5334 1
2.4%
4597 1
2.4%
4443 1
2.4%
4420 1
2.4%
4262 1
2.4%
4192 1
2.4%
3741 1
2.4%

2012-02
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2639.675
Minimum742
Maximum8082
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:48.296542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum742
5-th percentile900.35
Q11415.25
median2044.5
Q33095.75
95-th percentile5831.4
Maximum8082
Range7340
Interquartile range (IQR)1680.5

Descriptive statistics

Standard deviation1665.0534
Coefficient of variation (CV)0.63077971
Kurtosis1.823726
Mean2639.675
Median Absolute Deviation (MAD)810
Skewness1.3853403
Sum105587
Variance2772402.9
MonotonicityNot monotonic
2023-12-12T14:26:48.441158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
2035 2
 
4.9%
2539 1
 
2.4%
3734 1
 
2.4%
1982 1
 
2.4%
2306 1
 
2.4%
2144 1
 
2.4%
2054 1
 
2.4%
2366 1
 
2.4%
1722 1
 
2.4%
1362 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
742 1
2.4%
888 1
2.4%
901 1
2.4%
1015 1
2.4%
1019 1
2.4%
1076 1
2.4%
1133 1
2.4%
1212 1
2.4%
1249 1
2.4%
1362 1
2.4%
ValueCountFrequency (%)
8082 1
2.4%
6143 1
2.4%
5815 1
2.4%
5318 1
2.4%
4599 1
2.4%
4441 1
2.4%
4408 1
2.4%
4269 1
2.4%
4193 1
2.4%
3734 1
2.4%

2012-03
Real number (ℝ)

MISSING 

Distinct39
Distinct (%)97.5%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2635.475
Minimum744
Maximum8008
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:48.595574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum744
5-th percentile904.35
Q11422
median2053
Q33087
95-th percentile5824.55
Maximum8008
Range7264
Interquartile range (IQR)1665

Descriptive statistics

Standard deviation1651.8273
Coefficient of variation (CV)0.62676643
Kurtosis1.7684506
Mean2635.475
Median Absolute Deviation (MAD)798.5
Skewness1.3740232
Sum105419
Variance2728533.3
MonotonicityNot monotonic
2023-12-12T14:26:48.752184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
1019 2
 
4.9%
2535 1
 
2.4%
1374 1
 
2.4%
1984 1
 
2.4%
2304 1
 
2.4%
2143 1
 
2.4%
2058 1
 
2.4%
2366 1
 
2.4%
2027 1
 
2.4%
1736 1
 
2.4%
Other values (29) 29
70.7%
ValueCountFrequency (%)
744 1
2.4%
892 1
2.4%
905 1
2.4%
1019 2
4.9%
1081 1
2.4%
1138 1
2.4%
1208 1
2.4%
1268 1
2.4%
1374 1
2.4%
1438 1
2.4%
ValueCountFrequency (%)
8008 1
2.4%
6101 1
2.4%
5810 1
2.4%
5292 1
2.4%
4583 1
2.4%
4431 1
2.4%
4402 1
2.4%
4259 1
2.4%
4182 1
2.4%
3720 1
2.4%

2012-04
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2629.2
Minimum748
Maximum7927
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:48.923210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum748
5-th percentile910.35
Q11429
median2062
Q33077.5
95-th percentile5820.05
Maximum7927
Range7179
Interquartile range (IQR)1648.5

Descriptive statistics

Standard deviation1636.8066
Coefficient of variation (CV)0.62254929
Kurtosis1.715383
Mean2629.2
Median Absolute Deviation (MAD)794
Skewness1.3636973
Sum105168
Variance2679135.8
MonotonicityNot monotonic
2023-12-12T14:26:49.085542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2530 1
 
2.4%
2693 1
 
2.4%
2299 1
 
2.4%
2139 1
 
2.4%
2058 1
 
2.4%
2354 1
 
2.4%
2025 1
 
2.4%
1745 1
 
2.4%
1387 1
 
2.4%
2005 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
748 1
2.4%
898 1
2.4%
911 1
2.4%
1023 1
2.4%
1025 1
2.4%
1092 1
2.4%
1143 1
2.4%
1206 1
2.4%
1272 1
2.4%
1387 1
2.4%
ValueCountFrequency (%)
7927 1
2.4%
6049 1
2.4%
5808 1
2.4%
5258 1
2.4%
4554 1
2.4%
4416 1
2.4%
4400 1
2.4%
4251 1
2.4%
4159 1
2.4%
3703 1
2.4%

2012-05
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2623.675
Minimum750
Maximum7884
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:49.253059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum750
5-th percentile925.45
Q11434
median2066
Q33068
95-th percentile5814
Maximum7884
Range7134
Interquartile range (IQR)1634

Descriptive statistics

Standard deviation1626.769
Coefficient of variation (CV)0.6200345
Kurtosis1.7123617
Mean2623.675
Median Absolute Deviation (MAD)790
Skewness1.3646793
Sum104947
Variance2646377.4
MonotonicityNot monotonic
2023-12-12T14:26:49.415779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2523 1
 
2.4%
2676 1
 
2.4%
2288 1
 
2.4%
2137 1
 
2.4%
2055 1
 
2.4%
2353 1
 
2.4%
2021 1
 
2.4%
1751 1
 
2.4%
1404 1
 
2.4%
1995 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
750 1
2.4%
915 1
2.4%
926 1
2.4%
1022 1
2.4%
1031 1
2.4%
1089 1
2.4%
1143 1
2.4%
1205 1
2.4%
1272 1
2.4%
1404 1
2.4%
ValueCountFrequency (%)
7884 1
2.4%
6023 1
2.4%
5803 1
2.4%
5234 1
2.4%
4541 1
2.4%
4395 1
2.4%
4389 1
2.4%
4232 1
2.4%
4131 1
2.4%
3689 1
2.4%

2012-06
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2614.875
Minimum750
Maximum7812
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:49.582202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum750
5-th percentile925.5
Q11436.5
median2069
Q33052.5
95-th percentile5811.05
Maximum7812
Range7062
Interquartile range (IQR)1616

Descriptive statistics

Standard deviation1615.7091
Coefficient of variation (CV)0.61789154
Kurtosis1.6605387
Mean2614.875
Median Absolute Deviation (MAD)776
Skewness1.3563446
Sum104595
Variance2610516
MonotonicityNot monotonic
2023-12-12T14:26:49.789491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2515 1
 
2.4%
2639 1
 
2.4%
2288 1
 
2.4%
2125 1
 
2.4%
2046 1
 
2.4%
2337 1
 
2.4%
2010 1
 
2.4%
1753 1
 
2.4%
1417 1
 
2.4%
1989 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
750 1
2.4%
916 1
2.4%
926 1
2.4%
1022 1
2.4%
1034 1
2.4%
1086 1
2.4%
1142 1
2.4%
1204 1
2.4%
1275 1
2.4%
1417 1
2.4%
ValueCountFrequency (%)
7812 1
2.4%
5983 1
2.4%
5802 1
2.4%
5209 1
2.4%
4527 1
2.4%
4392 1
2.4%
4385 1
2.4%
4205 1
2.4%
4114 1
2.4%
3672 1
2.4%

2012-07
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2603.375
Minimum751
Maximum7762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:49.939646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum751
5-th percentile926.5
Q11434.25
median2057
Q33044.75
95-th percentile5804.55
Maximum7762
Range7011
Interquartile range (IQR)1610.5

Descriptive statistics

Standard deviation1606.3516
Coefficient of variation (CV)0.6170266
Kurtosis1.6505342
Mean2603.375
Median Absolute Deviation (MAD)778.5
Skewness1.3581166
Sum104135
Variance2580365.6
MonotonicityNot monotonic
2023-12-12T14:26:50.367496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2504 1
 
2.4%
2623 1
 
2.4%
2279 1
 
2.4%
2113 1
 
2.4%
2041 1
 
2.4%
2310 1
 
2.4%
2003 1
 
2.4%
1757 1
 
2.4%
1417 1
 
2.4%
1980 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
751 1
2.4%
917 1
2.4%
927 1
2.4%
1024 1
2.4%
1043 1
2.4%
1087 1
2.4%
1141 1
2.4%
1200 1
2.4%
1271 1
2.4%
1417 1
2.4%
ValueCountFrequency (%)
7762 1
2.4%
5948 1
2.4%
5797 1
2.4%
5183 1
2.4%
4504 1
2.4%
4382 1
2.4%
4369 1
2.4%
4176 1
2.4%
4093 1
2.4%
3653 1
2.4%

2012-08
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2590.45
Minimum751
Maximum7672
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:50.568116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum751
5-th percentile925.95
Q11433.5
median2057
Q33027.5
95-th percentile5776.2
Maximum7672
Range6921
Interquartile range (IQR)1594

Descriptive statistics

Standard deviation1590.6222
Coefficient of variation (CV)0.61403315
Kurtosis1.5958891
Mean2590.45
Median Absolute Deviation (MAD)763.5
Skewness1.3479427
Sum103618
Variance2530078.9
MonotonicityNot monotonic
2023-12-12T14:26:50.756571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2492 1
 
2.4%
2607 1
 
2.4%
2264 1
 
2.4%
2102 1
 
2.4%
2039 1
 
2.4%
2294 1
 
2.4%
1984 1
 
2.4%
1760 1
 
2.4%
1420 1
 
2.4%
1961 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
751 1
2.4%
925 1
2.4%
926 1
2.4%
1023 1
2.4%
1051 1
2.4%
1072 1
2.4%
1142 1
2.4%
1195 1
2.4%
1279 1
2.4%
1420 1
2.4%
ValueCountFrequency (%)
7672 1
2.4%
5894 1
2.4%
5770 1
2.4%
5146 1
2.4%
4478 1
2.4%
4379 1
2.4%
4351 1
2.4%
4140 1
2.4%
4072 1
2.4%
3629 1
2.4%

2012-09
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2578.075
Minimum750
Maximum7588
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:50.962536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum750
5-th percentile932.6
Q11434
median2054
Q33014.75
95-th percentile5757.5
Maximum7588
Range6838
Interquartile range (IQR)1580.75

Descriptive statistics

Standard deviation1576.0137
Coefficient of variation (CV)0.61131415
Kurtosis1.5492536
Mean2578.075
Median Absolute Deviation (MAD)753.5
Skewness1.3393134
Sum103123
Variance2483819.3
MonotonicityNot monotonic
2023-12-12T14:26:51.127326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2480 1
 
2.4%
2576 1
 
2.4%
2245 1
 
2.4%
2097 1
 
2.4%
2039 1
 
2.4%
2291 1
 
2.4%
1967 1
 
2.4%
1761 1
 
2.4%
1425 1
 
2.4%
1959 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
750 1
2.4%
925 1
2.4%
933 1
2.4%
1021 1
2.4%
1055 1
2.4%
1057 1
2.4%
1141 1
2.4%
1195 1
2.4%
1277 1
2.4%
1425 1
2.4%
ValueCountFrequency (%)
7588 1
2.4%
5843 1
2.4%
5753 1
2.4%
5112 1
2.4%
4454 1
2.4%
4357 1
2.4%
4334 1
2.4%
4109 1
2.4%
4057 1
2.4%
3605 1
2.4%

2012-10
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2569.325
Minimum751
Maximum7539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:51.270207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum751
5-th percentile936.4
Q11434
median2048
Q33000.75
95-th percentile5737.1
Maximum7539
Range6788
Interquartile range (IQR)1566.75

Descriptive statistics

Standard deviation1566.2936
Coefficient of variation (CV)0.60961289
Kurtosis1.5346586
Mean2569.325
Median Absolute Deviation (MAD)745
Skewness1.3379014
Sum102773
Variance2453275.8
MonotonicityNot monotonic
2023-12-12T14:26:51.406319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2471 1
 
2.4%
2549 1
 
2.4%
2236 1
 
2.4%
2093 1
 
2.4%
2033 1
 
2.4%
2290 1
 
2.4%
1963 1
 
2.4%
1768 1
 
2.4%
1425 1
 
2.4%
1954 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
751 1
2.4%
925 1
2.4%
937 1
2.4%
1023 1
2.4%
1053 1
2.4%
1058 1
2.4%
1142 1
2.4%
1195 1
2.4%
1279 1
2.4%
1425 1
2.4%
ValueCountFrequency (%)
7539 1
2.4%
5815 1
2.4%
5733 1
2.4%
5091 1
2.4%
4443 1
2.4%
4339 1
2.4%
4320 1
2.4%
4079 1
2.4%
4046 1
2.4%
3588 1
2.4%

2012-11
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)100.0%
Missing1
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean2560.9
Minimum747
Maximum7519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:51.576257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum747
5-th percentile939.25
Q11434.5
median2049
Q32982
95-th percentile5717.05
Maximum7519
Range6772
Interquartile range (IQR)1547.5

Descriptive statistics

Standard deviation1558.3352
Coefficient of variation (CV)0.60851075
Kurtosis1.5699696
Mean2560.9
Median Absolute Deviation (MAD)727.5
Skewness1.3446519
Sum102436
Variance2428408.6
MonotonicityNot monotonic
2023-12-12T14:26:51.717206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2463 1
 
2.4%
2546 1
 
2.4%
2219 1
 
2.4%
2088 1
 
2.4%
2030 1
 
2.4%
2289 1
 
2.4%
1952 1
 
2.4%
1775 1
 
2.4%
1427 1
 
2.4%
1961 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
747 1
2.4%
925 1
2.4%
940 1
2.4%
1024 1
2.4%
1044 1
2.4%
1064 1
2.4%
1141 1
2.4%
1190 1
2.4%
1280 1
2.4%
1427 1
2.4%
ValueCountFrequency (%)
7519 1
2.4%
5794 1
2.4%
5713 1
2.4%
5067 1
2.4%
4421 1
2.4%
4329 1
2.4%
4294 1
2.4%
4045 1
2.4%
4013 1
2.4%
3570 1
2.4%

2012-12
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2515.6341
Minimum752
Maximum7417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:51.851068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum752
5-th percentile949
Q11436
median2019
Q32769
95-th percentile5717
Maximum7417
Range6665
Interquartile range (IQR)1333

Descriptive statistics

Standard deviation1536.7735
Coefficient of variation (CV)0.61088911
Kurtosis1.5762592
Mean2515.6341
Median Absolute Deviation (MAD)731
Skewness1.3587139
Sum103141
Variance2361672.8
MonotonicityNot monotonic
2023-12-12T14:26:52.015635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1974 2
 
4.9%
2454 1
 
2.4%
1057 1
 
2.4%
2206 1
 
2.4%
2083 1
 
2.4%
2019 1
 
2.4%
2289 1
 
2.4%
1945 1
 
2.4%
1789 1
 
2.4%
1436 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
752 1
2.4%
944 1
2.4%
949 1
2.4%
1021 1
2.4%
1032 1
2.4%
1057 1
2.4%
1108 1
2.4%
1148 1
2.4%
1227 1
2.4%
1288 1
2.4%
ValueCountFrequency (%)
7417 1
2.4%
5730 1
2.4%
5717 1
2.4%
5019 1
2.4%
4383 1
2.4%
4305 1
2.4%
4276 1
2.4%
4044 1
2.4%
3990 1
2.4%
3537 1
2.4%

2013-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2506.5366
Minimum752
Maximum7355
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:52.196280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum752
5-th percentile955
Q11438
median2007
Q32764
95-th percentile5683
Maximum7355
Range6603
Interquartile range (IQR)1326

Descriptive statistics

Standard deviation1524.8833
Coefficient of variation (CV)0.60836269
Kurtosis1.5524749
Mean2506.5366
Median Absolute Deviation (MAD)726
Skewness1.3555287
Sum102768
Variance2325269.2
MonotonicityNot monotonic
2023-12-12T14:26:52.342415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2444 1
 
2.4%
2070 1
 
2.4%
2195 1
 
2.4%
2076 1
 
2.4%
2007 1
 
2.4%
2284 1
 
2.4%
1944 1
 
2.4%
1799 1
 
2.4%
1438 1
 
2.4%
1974 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
752 1
2.4%
941 1
2.4%
955 1
2.4%
1011 1
2.4%
1031 1
2.4%
1092 1
2.4%
1108 1
2.4%
1147 1
2.4%
1228 1
2.4%
1284 1
2.4%
ValueCountFrequency (%)
7355 1
2.4%
5713 1
2.4%
5683 1
2.4%
4988 1
2.4%
4348 1
2.4%
4302 1
2.4%
4263 1
2.4%
4021 1
2.4%
3972 1
2.4%
3517 1
2.4%

2013-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.8537
Minimum749
Maximum7329
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:52.508874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum749
5-th percentile958
Q11439
median2004
Q32748
95-th percentile5667
Maximum7329
Range6580
Interquartile range (IQR)1309

Descriptive statistics

Standard deviation1520.1419
Coefficient of variation (CV)0.60784922
Kurtosis1.5452341
Mean2500.8537
Median Absolute Deviation (MAD)719
Skewness1.3561953
Sum102535
Variance2310831.5
MonotonicityNot monotonic
2023-12-12T14:26:52.667701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2438 1
 
2.4%
2063 1
 
2.4%
2185 1
 
2.4%
2071 1
 
2.4%
2004 1
 
2.4%
2273 1
 
2.4%
1942 1
 
2.4%
1800 1
 
2.4%
1439 1
 
2.4%
1974 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
749 1
2.4%
943 1
2.4%
958 1
2.4%
1005 1
2.4%
1030 1
2.4%
1093 1
2.4%
1110 1
2.4%
1146 1
2.4%
1234 1
2.4%
1285 1
2.4%
ValueCountFrequency (%)
7329 1
2.4%
5702 1
2.4%
5667 1
2.4%
4978 1
2.4%
4340 1
2.4%
4299 1
2.4%
4259 1
2.4%
4003 1
2.4%
3970 1
2.4%
3506 1
2.4%

2013-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2499.5366
Minimum745
Maximum7322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:52.814476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum745
5-th percentile961
Q11440
median2005
Q32746
95-th percentile5675
Maximum7322
Range6577
Interquartile range (IQR)1306

Descriptive statistics

Standard deviation1520.1382
Coefficient of variation (CV)0.60816799
Kurtosis1.5374584
Mean2499.5366
Median Absolute Deviation (MAD)718
Skewness1.3563447
Sum102481
Variance2310820
MonotonicityNot monotonic
2023-12-12T14:26:52.970787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2437 1
 
2.4%
2059 1
 
2.4%
2178 1
 
2.4%
2070 1
 
2.4%
2005 1
 
2.4%
2271 1
 
2.4%
1937 1
 
2.4%
1806 1
 
2.4%
1440 1
 
2.4%
1974 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
745 1
2.4%
943 1
2.4%
961 1
2.4%
1003 1
2.4%
1022 1
2.4%
1095 1
2.4%
1114 1
2.4%
1145 1
2.4%
1237 1
2.4%
1287 1
2.4%
ValueCountFrequency (%)
7322 1
2.4%
5696 1
2.4%
5675 1
2.4%
4981 1
2.4%
4360 1
2.4%
4300 1
2.4%
4255 1
2.4%
3994 1
2.4%
3965 1
2.4%
3503 1
2.4%

2013-04
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.0976
Minimum744
Maximum7311
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:53.115281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum744
5-th percentile964
Q11445
median2006
Q32743
95-th percentile5663
Maximum7311
Range6567
Interquartile range (IQR)1298

Descriptive statistics

Standard deviation1516.2177
Coefficient of variation (CV)0.6064634
Kurtosis1.5284513
Mean2500.0976
Median Absolute Deviation (MAD)715
Skewness1.3512779
Sum102504
Variance2298916
MonotonicityNot monotonic
2023-12-12T14:26:53.314918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1445 2
 
4.9%
2436 1
 
2.4%
1095 1
 
2.4%
2184 1
 
2.4%
2073 1
 
2.4%
2006 1
 
2.4%
2278 1
 
2.4%
1942 1
 
2.4%
1823 1
 
2.4%
1986 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
744 1
2.4%
940 1
2.4%
964 1
2.4%
1005 1
2.4%
1020 1
2.4%
1095 1
2.4%
1116 1
2.4%
1146 1
2.4%
1238 1
2.4%
1291 1
2.4%
ValueCountFrequency (%)
7311 1
2.4%
5671 1
2.4%
5663 1
2.4%
4973 1
2.4%
4380 1
2.4%
4279 1
2.4%
4248 1
2.4%
4003 1
2.4%
3967 1
2.4%
3500 1
2.4%

2013-05
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2504.0488
Minimum745
Maximum7337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:53.508124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum745
5-th percentile968
Q11449
median2009
Q32748
95-th percentile5647
Maximum7337
Range6592
Interquartile range (IQR)1299

Descriptive statistics

Standard deviation1518.5784
Coefficient of variation (CV)0.60644919
Kurtosis1.5555106
Mean2504.0488
Median Absolute Deviation (MAD)717
Skewness1.3560953
Sum102666
Variance2306080.2
MonotonicityNot monotonic
2023-12-12T14:26:53.674426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1449 2
 
4.9%
2441 1
 
2.4%
1100 1
 
2.4%
2185 1
 
2.4%
2075 1
 
2.4%
2009 1
 
2.4%
2278 1
 
2.4%
1943 1
 
2.4%
1838 1
 
2.4%
1993 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
745 1
2.4%
940 1
2.4%
968 1
2.4%
1003 1
2.4%
1021 1
2.4%
1100 1
2.4%
1118 1
2.4%
1148 1
2.4%
1244 1
2.4%
1292 1
2.4%
ValueCountFrequency (%)
7337 1
2.4%
5693 1
2.4%
5647 1
2.4%
4982 1
2.4%
4397 1
2.4%
4280 1
2.4%
4244 1
2.4%
4011 1
2.4%
3964 1
2.4%
3505 1
2.4%

2013-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2502.9268
Minimum744
Maximum7273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:53.836671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum744
5-th percentile977
Q11449
median2007
Q32755
95-th percentile5629
Maximum7273
Range6529
Interquartile range (IQR)1306

Descriptive statistics

Standard deviation1509.625
Coefficient of variation (CV)0.60314389
Kurtosis1.4776175
Mean2502.9268
Median Absolute Deviation (MAD)719
Skewness1.3378601
Sum102620
Variance2278967.7
MonotonicityNot monotonic
2023-12-12T14:26:54.003877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2441 1
 
2.4%
2056 1
 
2.4%
2192 1
 
2.4%
2074 1
 
2.4%
2007 1
 
2.4%
2278 1
 
2.4%
1944 1
 
2.4%
1856 1
 
2.4%
1449 1
 
2.4%
1994 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
744 1
2.4%
940 1
2.4%
977 1
2.4%
999 1
2.4%
1020 1
2.4%
1115 1
2.4%
1121 1
2.4%
1149 1
2.4%
1245 1
2.4%
1291 1
2.4%
ValueCountFrequency (%)
7273 1
2.4%
5666 1
2.4%
5629 1
2.4%
4966 1
2.4%
4401 1
2.4%
4279 1
2.4%
4239 1
2.4%
4020 1
2.4%
3959 1
2.4%
3502 1
2.4%

2013-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2498.2439
Minimum741
Maximum7246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:54.169761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum741
5-th percentile988
Q11450
median2008
Q32746
95-th percentile5606
Maximum7246
Range6505
Interquartile range (IQR)1296

Descriptive statistics

Standard deviation1503.1268
Coefficient of variation (CV)0.60167335
Kurtosis1.4749802
Mean2498.2439
Median Absolute Deviation (MAD)715
Skewness1.3369825
Sum102428
Variance2259390.1
MonotonicityNot monotonic
2023-12-12T14:26:54.316909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2437 1
 
2.4%
2054 1
 
2.4%
2194 1
 
2.4%
2073 1
 
2.4%
2008 1
 
2.4%
2273 1
 
2.4%
1941 1
 
2.4%
1882 1
 
2.4%
1450 1
 
2.4%
1987 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
741 1
2.4%
939 1
2.4%
988 1
2.4%
998 1
2.4%
1019 1
2.4%
1110 1
2.4%
1122 1
2.4%
1150 1
2.4%
1246 1
2.4%
1293 1
2.4%
ValueCountFrequency (%)
7246 1
2.4%
5652 1
2.4%
5606 1
2.4%
4950 1
2.4%
4396 1
2.4%
4276 1
2.4%
4222 1
2.4%
4012 1
2.4%
3938 1
2.4%
3492 1
2.4%

2013-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2492.6829
Minimum740
Maximum7186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:54.472007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum740
5-th percentile995
Q11446
median2010
Q32730
95-th percentile5589
Maximum7186
Range6446
Interquartile range (IQR)1284

Descriptive statistics

Standard deviation1493.6768
Coefficient of variation (CV)0.59922457
Kurtosis1.4246423
Mean2492.6829
Median Absolute Deviation (MAD)715
Skewness1.3256793
Sum102200
Variance2231070.5
MonotonicityNot monotonic
2023-12-12T14:26:54.672068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2433 1
 
2.4%
2048 1
 
2.4%
2196 1
 
2.4%
2072 1
 
2.4%
2010 1
 
2.4%
2269 1
 
2.4%
1940 1
 
2.4%
1895 1
 
2.4%
1446 1
 
2.4%
1986 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
740 1
2.4%
936 1
2.4%
995 1
2.4%
1000 1
2.4%
1021 1
2.4%
1099 1
2.4%
1123 1
2.4%
1152 1
2.4%
1245 1
2.4%
1295 1
2.4%
ValueCountFrequency (%)
7186 1
2.4%
5622 1
2.4%
5589 1
2.4%
4928 1
2.4%
4390 1
2.4%
4274 1
2.4%
4209 1
2.4%
4007 1
2.4%
3921 1
2.4%
3481 1
2.4%

2013-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2492.878
Minimum737
Maximum7173
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:54.851867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum737
5-th percentile997
Q11448
median2007
Q32729
95-th percentile5574
Maximum7173
Range6436
Interquartile range (IQR)1281

Descriptive statistics

Standard deviation1490.9296
Coefficient of variation (CV)0.59807564
Kurtosis1.408886
Mean2492.878
Median Absolute Deviation (MAD)708
Skewness1.320272
Sum102208
Variance2222871.2
MonotonicityNot monotonic
2023-12-12T14:26:55.026810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2433 1
 
2.4%
2047 1
 
2.4%
2194 1
 
2.4%
2069 1
 
2.4%
2007 1
 
2.4%
2265 1
 
2.4%
1937 1
 
2.4%
1907 1
 
2.4%
1448 1
 
2.4%
1993 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
737 1
2.4%
935 1
2.4%
997 1
2.4%
1000 1
2.4%
1024 1
2.4%
1094 1
2.4%
1126 1
2.4%
1153 1
2.4%
1245 1
2.4%
1300 1
2.4%
ValueCountFrequency (%)
7173 1
2.4%
5615 1
2.4%
5574 1
2.4%
4922 1
2.4%
4388 1
2.4%
4271 1
2.4%
4204 1
2.4%
4022 1
2.4%
3918 1
2.4%
3481 1
2.4%

2013-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2500.9268
Minimum740
Maximum7225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:55.178142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum740
5-th percentile1000
Q11449
median2006
Q32739
95-th percentile5554
Maximum7225
Range6485
Interquartile range (IQR)1290

Descriptive statistics

Standard deviation1496.9116
Coefficient of variation (CV)0.59854273
Kurtosis1.4462232
Mean2500.9268
Median Absolute Deviation (MAD)721
Skewness1.3263818
Sum102538
Variance2240744.3
MonotonicityNot monotonic
2023-12-12T14:26:55.309822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2443 1
 
2.4%
2054 1
 
2.4%
2204 1
 
2.4%
2070 1
 
2.4%
2006 1
 
2.4%
2266 1
 
2.4%
1944 1
 
2.4%
1923 1
 
2.4%
1449 1
 
2.4%
1991 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
740 1
2.4%
943 1
2.4%
1000 1
2.4%
1003 1
2.4%
1025 1
2.4%
1096 1
2.4%
1136 1
2.4%
1157 1
2.4%
1249 1
2.4%
1301 1
2.4%
ValueCountFrequency (%)
7225 1
2.4%
5643 1
2.4%
5554 1
2.4%
4942 1
2.4%
4398 1
2.4%
4284 1
2.4%
4214 1
2.4%
4040 1
2.4%
3932 1
2.4%
3495 1
2.4%

2013-11
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2504.4146
Minimum739
Maximum7231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:55.443538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum739
5-th percentile1001
Q11448
median2014
Q32741
95-th percentile5535
Maximum7231
Range6492
Interquartile range (IQR)1293

Descriptive statistics

Standard deviation1496.0944
Coefficient of variation (CV)0.59738286
Kurtosis1.4498409
Mean2504.4146
Median Absolute Deviation (MAD)719
Skewness1.3240336
Sum102681
Variance2238298.3
MonotonicityNot monotonic
2023-12-12T14:26:55.580112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1837 2
 
4.9%
2447 1
 
2.4%
1099 1
 
2.4%
2074 1
 
2.4%
2014 1
 
2.4%
2268 1
 
2.4%
1942 1
 
2.4%
1938 1
 
2.4%
1448 1
 
2.4%
1996 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
739 1
2.4%
938 1
2.4%
1001 1
2.4%
1005 1
2.4%
1028 1
2.4%
1099 1
2.4%
1146 1
2.4%
1160 1
2.4%
1250 1
2.4%
1305 1
2.4%
ValueCountFrequency (%)
7231 1
2.4%
5649 1
2.4%
5535 1
2.4%
4943 1
2.4%
4403 1
2.4%
4286 1
2.4%
4210 1
2.4%
4051 1
2.4%
3929 1
2.4%
3501 1
2.4%

2013-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2507.9756
Minimum736
Maximum7225
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:56.033375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum736
5-th percentile1006
Q11449
median2016
Q32751
95-th percentile5538
Maximum7225
Range6489
Interquartile range (IQR)1302

Descriptive statistics

Standard deviation1494.8136
Coefficient of variation (CV)0.59602398
Kurtosis1.4327159
Mean2507.9756
Median Absolute Deviation (MAD)725
Skewness1.3181226
Sum102827
Variance2234467.7
MonotonicityNot monotonic
2023-12-12T14:26:56.147236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2451 1
 
2.4%
2064 1
 
2.4%
2219 1
 
2.4%
2078 1
 
2.4%
2016 1
 
2.4%
2270 1
 
2.4%
1952 1
 
2.4%
1964 1
 
2.4%
1449 1
 
2.4%
1997 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
736 1
2.4%
934 1
2.4%
1006 1
2.4%
1017 1
2.4%
1029 1
2.4%
1101 1
2.4%
1150 1
2.4%
1163 1
2.4%
1250 1
2.4%
1310 1
2.4%
ValueCountFrequency (%)
7225 1
2.4%
5641 1
2.4%
5538 1
2.4%
4941 1
2.4%
4394 1
2.4%
4288 1
2.4%
4215 1
2.4%
4071 1
2.4%
3935 1
2.4%
3504 1
2.4%

2014-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2522.1463
Minimum742
Maximum7241
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:56.297843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum742
5-th percentile1006
Q11455
median2037
Q32782
95-th percentile5539
Maximum7241
Range6499
Interquartile range (IQR)1327

Descriptive statistics

Standard deviation1492.0587
Coefficient of variation (CV)0.5915829
Kurtosis1.4417271
Mean2522.1463
Median Absolute Deviation (MAD)726
Skewness1.3139632
Sum103408
Variance2226239
MonotonicityNot monotonic
2023-12-12T14:26:56.423041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2465 1
 
2.4%
2086 1
 
2.4%
2236 1
 
2.4%
2090 1
 
2.4%
2027 1
 
2.4%
2295 1
 
2.4%
1952 1
 
2.4%
2002 1
 
2.4%
1455 1
 
2.4%
2037 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
742 1
2.4%
948 1
2.4%
1006 1
2.4%
1031 1
2.4%
1032 1
2.4%
1163 1
2.4%
1170 1
2.4%
1176 1
2.4%
1250 1
2.4%
1311 1
2.4%
ValueCountFrequency (%)
7241 1
2.4%
5634 1
2.4%
5539 1
2.4%
4947 1
2.4%
4369 1
2.4%
4312 1
2.4%
4235 1
2.4%
4066 1
2.4%
3958 1
2.4%
3517 1
2.4%

2014-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2528.122
Minimum741
Maximum7274
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:56.584057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum741
5-th percentile1006
Q11461
median2039
Q32778
95-th percentile5538
Maximum7274
Range6533
Interquartile range (IQR)1317

Descriptive statistics

Standard deviation1495.3853
Coefficient of variation (CV)0.59150044
Kurtosis1.4719625
Mean2528.122
Median Absolute Deviation (MAD)725
Skewness1.3184707
Sum103653
Variance2236177.1
MonotonicityNot monotonic
2023-12-12T14:26:56.742414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2471 1
 
2.4%
2098 1
 
2.4%
2250 1
 
2.4%
2093 1
 
2.4%
2029 1
 
2.4%
2294 1
 
2.4%
1961 1
 
2.4%
2021 1
 
2.4%
1461 1
 
2.4%
2036 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
741 1
2.4%
951 1
2.4%
1006 1
2.4%
1035 1
2.4%
1038 1
2.4%
1165 1
2.4%
1173 1
2.4%
1176 1
2.4%
1256 1
2.4%
1314 1
2.4%
ValueCountFrequency (%)
7274 1
2.4%
5647 1
2.4%
5538 1
2.4%
4961 1
2.4%
4366 1
2.4%
4310 1
2.4%
4249 1
2.4%
4065 1
2.4%
3980 1
2.4%
3526 1
2.4%

2014-03
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2537.4634
Minimum739
Maximum7319
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:56.906670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum739
5-th percentile1005
Q11463
median2048
Q32790
95-th percentile5540
Maximum7319
Range6580
Interquartile range (IQR)1327

Descriptive statistics

Standard deviation1503.2564
Coefficient of variation (CV)0.59242484
Kurtosis1.4844806
Mean2537.4634
Median Absolute Deviation (MAD)732
Skewness1.3186915
Sum104036
Variance2259779.7
MonotonicityNot monotonic
2023-12-12T14:26:57.051589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1175 2
 
4.9%
2482 1
 
2.4%
2108 1
 
2.4%
2268 1
 
2.4%
2095 1
 
2.4%
2032 1
 
2.4%
2293 1
 
2.4%
1962 1
 
2.4%
2030 1
 
2.4%
1463 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
739 1
2.4%
950 1
2.4%
1005 1
2.4%
1033 1
2.4%
1045 1
2.4%
1171 1
2.4%
1175 2
4.9%
1259 1
2.4%
1316 1
2.4%
1463 1
2.4%
ValueCountFrequency (%)
7319 1
2.4%
5675 1
2.4%
5540 1
2.4%
4981 1
2.4%
4379 1
2.4%
4316 1
2.4%
4262 1
2.4%
4106 1
2.4%
3998 1
2.4%
3544 1
2.4%

2014-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2538.7805
Minimum738
Maximum7327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:57.183111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum738
5-th percentile1006
Q11468
median2053
Q32780
95-th percentile5523
Maximum7327
Range6589
Interquartile range (IQR)1312

Descriptive statistics

Standard deviation1502.5666
Coefficient of variation (CV)0.5918458
Kurtosis1.49608
Mean2538.7805
Median Absolute Deviation (MAD)727
Skewness1.3201731
Sum104090
Variance2257706.3
MonotonicityNot monotonic
2023-12-12T14:26:57.348840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2484 1
 
2.4%
2114 1
 
2.4%
2271 1
 
2.4%
2096 1
 
2.4%
2034 1
 
2.4%
2298 1
 
2.4%
1956 1
 
2.4%
2052 1
 
2.4%
1468 1
 
2.4%
2038 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
738 1
2.4%
950 1
2.4%
1006 1
2.4%
1032 1
2.4%
1050 1
2.4%
1172 1
2.4%
1178 1
2.4%
1180 1
2.4%
1260 1
2.4%
1317 1
2.4%
ValueCountFrequency (%)
7327 1
2.4%
5671 1
2.4%
5523 1
2.4%
4983 1
2.4%
4367 1
2.4%
4328 1
2.4%
4270 1
2.4%
4109 1
2.4%
4009 1
2.4%
3544 1
2.4%

2014-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2538.6829
Minimum738
Maximum7298
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:57.511640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum738
5-th percentile1006
Q11468
median2066
Q32778
95-th percentile5516
Maximum7298
Range6560
Interquartile range (IQR)1310

Descriptive statistics

Standard deviation1498.4055
Coefficient of variation (CV)0.59022947
Kurtosis1.4602437
Mean2538.6829
Median Absolute Deviation (MAD)712
Skewness1.3112915
Sum104086
Variance2245219
MonotonicityNot monotonic
2023-12-12T14:26:57.654666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2485 1
 
2.4%
2124 1
 
2.4%
2271 1
 
2.4%
2097 1
 
2.4%
2037 1
 
2.4%
2300 1
 
2.4%
1955 1
 
2.4%
2066 1
 
2.4%
1468 1
 
2.4%
2040 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
738 1
2.4%
949 1
2.4%
1006 1
2.4%
1033 1
2.4%
1055 1
2.4%
1165 1
2.4%
1181 1
2.4%
1185 1
2.4%
1258 1
2.4%
1321 1
2.4%
ValueCountFrequency (%)
7298 1
2.4%
5658 1
2.4%
5516 1
2.4%
4975 1
2.4%
4367 1
2.4%
4333 1
2.4%
4266 1
2.4%
4118 1
2.4%
4003 1
2.4%
3541 1
2.4%

2014-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2539.6829
Minimum737
Maximum7300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:57.811602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum737
5-th percentile1006
Q11471
median2068
Q32779
95-th percentile5508
Maximum7300
Range6563
Interquartile range (IQR)1308

Descriptive statistics

Standard deviation1498.0566
Coefficient of variation (CV)0.58985972
Kurtosis1.4633566
Mean2539.6829
Median Absolute Deviation (MAD)711
Skewness1.3115304
Sum104127
Variance2244173.7
MonotonicityNot monotonic
2023-12-12T14:26:57.980718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2486 1
 
2.4%
2134 1
 
2.4%
2276 1
 
2.4%
2098 1
 
2.4%
2037 1
 
2.4%
2301 1
 
2.4%
1958 1
 
2.4%
2068 1
 
2.4%
1471 1
 
2.4%
2031 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
737 1
2.4%
946 1
2.4%
1006 1
2.4%
1031 1
2.4%
1056 1
2.4%
1172 1
2.4%
1183 1
2.4%
1192 1
2.4%
1258 1
2.4%
1324 1
2.4%
ValueCountFrequency (%)
7300 1
2.4%
5661 1
2.4%
5508 1
2.4%
4976 1
2.4%
4370 1
2.4%
4333 1
2.4%
4266 1
2.4%
4121 1
2.4%
4004 1
2.4%
3542 1
2.4%

2014-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2540.1951
Minimum736
Maximum7313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:58.156579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum736
5-th percentile1006
Q11470
median2075
Q32784
95-th percentile5503
Maximum7313
Range6577
Interquartile range (IQR)1314

Descriptive statistics

Standard deviation1498.952
Coefficient of variation (CV)0.59009325
Kurtosis1.4844651
Mean2540.1951
Median Absolute Deviation (MAD)709
Skewness1.3153373
Sum104148
Variance2246857.1
MonotonicityNot monotonic
2023-12-12T14:26:58.340557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2486 1
 
2.4%
2143 1
 
2.4%
2277 1
 
2.4%
2100 1
 
2.4%
2040 1
 
2.4%
2307 1
 
2.4%
1954 1
 
2.4%
2075 1
 
2.4%
1470 1
 
2.4%
2029 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
736 1
2.4%
946 1
2.4%
1006 1
2.4%
1030 1
2.4%
1061 1
2.4%
1169 1
2.4%
1184 1
2.4%
1199 1
2.4%
1258 1
2.4%
1312 1
2.4%
ValueCountFrequency (%)
7313 1
2.4%
5668 1
2.4%
5503 1
2.4%
4978 1
2.4%
4373 1
2.4%
4336 1
2.4%
4262 1
2.4%
4114 1
2.4%
3998 1
2.4%
3542 1
2.4%

2014-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2543.0976
Minimum734
Maximum7330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:58.512854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum734
5-th percentile1005
Q11467
median2077
Q32796
95-th percentile5501
Maximum7330
Range6596
Interquartile range (IQR)1329

Descriptive statistics

Standard deviation1501.2629
Coefficient of variation (CV)0.59032849
Kurtosis1.4958579
Mean2543.0976
Median Absolute Deviation (MAD)719
Skewness1.3161034
Sum104267
Variance2253790.4
MonotonicityNot monotonic
2023-12-12T14:26:58.679249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2489 1
 
2.4%
2151 1
 
2.4%
2276 1
 
2.4%
2103 1
 
2.4%
2047 1
 
2.4%
2308 1
 
2.4%
1951 1
 
2.4%
2077 1
 
2.4%
1467 1
 
2.4%
2027 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
734 1
2.4%
944 1
2.4%
1005 1
2.4%
1030 1
2.4%
1064 1
2.4%
1164 1
2.4%
1186 1
2.4%
1205 1
2.4%
1260 1
2.4%
1314 1
2.4%
ValueCountFrequency (%)
7330 1
2.4%
5678 1
2.4%
5501 1
2.4%
4983 1
2.4%
4377 1
2.4%
4339 1
2.4%
4262 1
2.4%
4122 1
2.4%
3997 1
2.4%
3547 1
2.4%

2014-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2551.3902
Minimum734
Maximum7406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:58.867030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum734
5-th percentile1005
Q11473
median2085
Q32811
95-th percentile5502
Maximum7406
Range6672
Interquartile range (IQR)1338

Descriptive statistics

Standard deviation1511.0466
Coefficient of variation (CV)0.59224439
Kurtosis1.5707017
Mean2551.3902
Median Absolute Deviation (MAD)726
Skewness1.3304661
Sum104607
Variance2283261.7
MonotonicityNot monotonic
2023-12-12T14:26:59.030692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2498 1
 
2.4%
2154 1
 
2.4%
2277 1
 
2.4%
2106 1
 
2.4%
2050 1
 
2.4%
2312 1
 
2.4%
1955 1
 
2.4%
2085 1
 
2.4%
1473 1
 
2.4%
2030 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
734 1
2.4%
954 1
2.4%
1005 1
2.4%
1030 1
2.4%
1069 1
2.4%
1146 1
2.4%
1190 1
2.4%
1212 1
2.4%
1261 1
2.4%
1316 1
2.4%
ValueCountFrequency (%)
7406 1
2.4%
5716 1
2.4%
5502 1
2.4%
5005 1
2.4%
4385 1
2.4%
4350 1
2.4%
4268 1
2.4%
4141 1
2.4%
4001 1
2.4%
3562 1
2.4%

2014-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2559.5854
Minimum733
Maximum7435
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:59.200520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum733
5-th percentile1006
Q11476
median2097
Q32821
95-th percentile5520
Maximum7435
Range6702
Interquartile range (IQR)1345

Descriptive statistics

Standard deviation1517.3881
Coefficient of variation (CV)0.59282573
Kurtosis1.5711361
Mean2559.5854
Median Absolute Deviation (MAD)724
Skewness1.3300682
Sum104943
Variance2302466.5
MonotonicityNot monotonic
2023-12-12T14:26:59.351102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2507 1
 
2.4%
2159 1
 
2.4%
2278 1
 
2.4%
2110 1
 
2.4%
2050 1
 
2.4%
2319 1
 
2.4%
1959 1
 
2.4%
2097 1
 
2.4%
1476 1
 
2.4%
2035 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
733 1
2.4%
958 1
2.4%
1006 1
2.4%
1031 1
2.4%
1074 1
2.4%
1145 1
2.4%
1193 1
2.4%
1215 1
2.4%
1262 1
2.4%
1318 1
2.4%
ValueCountFrequency (%)
7435 1
2.4%
5740 1
2.4%
5520 1
2.4%
5021 1
2.4%
4404 1
2.4%
4364 1
2.4%
4276 1
2.4%
4166 1
2.4%
4006 1
2.4%
3575 1
2.4%

2014-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2563.8049
Minimum732
Maximum7440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:59.493521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum732
5-th percentile1006
Q11480
median2106
Q32826
95-th percentile5525
Maximum7440
Range6708
Interquartile range (IQR)1346

Descriptive statistics

Standard deviation1517.8843
Coefficient of variation (CV)0.59204359
Kurtosis1.5683966
Mean2563.8049
Median Absolute Deviation (MAD)720
Skewness1.3278842
Sum105116
Variance2303972.6
MonotonicityNot monotonic
2023-12-12T14:26:59.689481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2511 1
 
2.4%
2168 1
 
2.4%
2285 1
 
2.4%
2114 1
 
2.4%
2054 1
 
2.4%
2327 1
 
2.4%
1959 1
 
2.4%
2106 1
 
2.4%
1480 1
 
2.4%
2037 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
732 1
2.4%
964 1
2.4%
1006 1
2.4%
1034 1
2.4%
1076 1
2.4%
1140 1
2.4%
1196 1
2.4%
1218 1
2.4%
1266 1
2.4%
1324 1
2.4%
ValueCountFrequency (%)
7440 1
2.4%
5744 1
2.4%
5525 1
2.4%
5024 1
2.4%
4408 1
2.4%
4370 1
2.4%
4277 1
2.4%
4175 1
2.4%
4004 1
2.4%
3580 1
2.4%

2014-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2566.6341
Minimum729
Maximum7427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:26:59.833867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum729
5-th percentile1005
Q11487
median2117
Q32826
95-th percentile5525
Maximum7427
Range6698
Interquartile range (IQR)1339

Descriptive statistics

Standard deviation1515.5615
Coefficient of variation (CV)0.59048599
Kurtosis1.548921
Mean2566.6341
Median Absolute Deviation (MAD)709
Skewness1.3224475
Sum105232
Variance2296926.7
MonotonicityNot monotonic
2023-12-12T14:26:59.989184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2514 1
 
2.4%
2175 1
 
2.4%
2291 1
 
2.4%
2117 1
 
2.4%
2060 1
 
2.4%
2330 1
 
2.4%
1959 1
 
2.4%
2125 1
 
2.4%
1487 1
 
2.4%
2039 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
729 1
2.4%
976 1
2.4%
1005 1
2.4%
1039 1
2.4%
1080 1
2.4%
1134 1
2.4%
1200 1
2.4%
1221 1
2.4%
1265 1
2.4%
1331 1
2.4%
ValueCountFrequency (%)
7427 1
2.4%
5739 1
2.4%
5525 1
2.4%
5021 1
2.4%
4409 1
2.4%
4370 1
2.4%
4277 1
2.4%
4190 1
2.4%
4004 1
2.4%
3582 1
2.4%

2015-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2572.561
Minimum756
Maximum7396
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:00.164816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum756
5-th percentile1018
Q11491
median2131
Q32835
95-th percentile5532
Maximum7396
Range6640
Interquartile range (IQR)1344

Descriptive statistics

Standard deviation1501.1982
Coefficient of variation (CV)0.58354231
Kurtosis1.5830954
Mean2572.561
Median Absolute Deviation (MAD)704
Skewness1.3351684
Sum105475
Variance2253596
MonotonicityNot monotonic
2023-12-12T14:27:00.328546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2513 1
 
2.4%
2180 1
 
2.4%
2308 1
 
2.4%
2131 1
 
2.4%
2067 1
 
2.4%
2347 1
 
2.4%
1982 1
 
2.4%
2141 1
 
2.4%
1491 1
 
2.4%
2044 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
756 1
2.4%
1016 1
2.4%
1018 1
2.4%
1038 1
2.4%
1095 1
2.4%
1214 1
2.4%
1234 1
2.4%
1235 1
2.4%
1319 1
2.4%
1326 1
2.4%
ValueCountFrequency (%)
7396 1
2.4%
5713 1
2.4%
5532 1
2.4%
5008 1
2.4%
4381 1
2.4%
4340 1
2.4%
4256 1
2.4%
4226 1
2.4%
3989 1
2.4%
3562 1
2.4%

2015-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2578.1951
Minimum756
Maximum7427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:00.501375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum756
5-th percentile1020
Q11497
median2138
Q32841
95-th percentile5535
Maximum7427
Range6671
Interquartile range (IQR)1344

Descriptive statistics

Standard deviation1505.393
Coefficient of variation (CV)0.58389415
Kurtosis1.6058395
Mean2578.1951
Median Absolute Deviation (MAD)703
Skewness1.3386785
Sum105706
Variance2266208.2
MonotonicityNot monotonic
2023-12-12T14:27:00.699698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2518 1
 
2.4%
2183 1
 
2.4%
2313 1
 
2.4%
2138 1
 
2.4%
2079 1
 
2.4%
2351 1
 
2.4%
1982 1
 
2.4%
2144 1
 
2.4%
1497 1
 
2.4%
2046 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
756 1
2.4%
1019 1
2.4%
1020 1
2.4%
1038 1
2.4%
1099 1
2.4%
1216 1
2.4%
1237 1
2.4%
1239 1
2.4%
1321 1
2.4%
1324 1
2.4%
ValueCountFrequency (%)
7427 1
2.4%
5729 1
2.4%
5535 1
2.4%
5019 1
2.4%
4385 1
2.4%
4343 1
2.4%
4262 1
2.4%
4242 1
2.4%
3997 1
2.4%
3571 1
2.4%

2015-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2589.4146
Minimum757
Maximum7498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:01.151469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum757
5-th percentile1025
Q11513
median2145
Q32849
95-th percentile5550
Maximum7498
Range6741
Interquartile range (IQR)1336

Descriptive statistics

Standard deviation1514.6123
Coefficient of variation (CV)0.58492458
Kurtosis1.6707631
Mean2589.4146
Median Absolute Deviation (MAD)704
Skewness1.3497283
Sum106166
Variance2294050.3
MonotonicityNot monotonic
2023-12-12T14:27:01.276355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2530 1
 
2.4%
2189 1
 
2.4%
2323 1
 
2.4%
2145 1
 
2.4%
2087 1
 
2.4%
2356 1
 
2.4%
1990 1
 
2.4%
2164 1
 
2.4%
1513 1
 
2.4%
2047 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
757 1
2.4%
1021 1
2.4%
1025 1
2.4%
1039 1
2.4%
1108 1
2.4%
1219 1
2.4%
1238 1
2.4%
1239 1
2.4%
1318 1
2.4%
1332 1
2.4%
ValueCountFrequency (%)
7498 1
2.4%
5764 1
2.4%
5550 1
2.4%
5043 1
2.4%
4392 1
2.4%
4347 1
2.4%
4273 1
2.4%
4258 1
2.4%
4010 1
2.4%
3589 1
2.4%

2015-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2605.8049
Minimum758
Maximum7590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:01.400712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum758
5-th percentile1038
Q11536
median2154
Q32867
95-th percentile5564
Maximum7590
Range6832
Interquartile range (IQR)1331

Descriptive statistics

Standard deviation1528.7124
Coefficient of variation (CV)0.58665653
Kurtosis1.7332869
Mean2605.8049
Median Absolute Deviation (MAD)713
Skewness1.3612346
Sum106838
Variance2336961.7
MonotonicityNot monotonic
2023-12-12T14:27:01.513409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2547 1
 
2.4%
2195 1
 
2.4%
2335 1
 
2.4%
2154 1
 
2.4%
2094 1
 
2.4%
2370 1
 
2.4%
1996 1
 
2.4%
2188 1
 
2.4%
1536 1
 
2.4%
2046 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
758 1
2.4%
1021 1
2.4%
1038 1
2.4%
1044 1
2.4%
1114 1
2.4%
1223 1
2.4%
1237 1
2.4%
1244 1
2.4%
1318 1
2.4%
1344 1
2.4%
ValueCountFrequency (%)
7590 1
2.4%
5820 1
2.4%
5564 1
2.4%
5081 1
2.4%
4419 1
2.4%
4356 1
2.4%
4305 1
2.4%
4292 1
2.4%
4033 1
2.4%
3615 1
2.4%

2015-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2617.5366
Minimum756
Maximum7654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:01.631253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum756
5-th percentile1039
Q11549
median2164
Q32878
95-th percentile5583
Maximum7654
Range6898
Interquartile range (IQR)1329

Descriptive statistics

Standard deviation1538.5406
Coefficient of variation (CV)0.58778189
Kurtosis1.7771615
Mean2617.5366
Median Absolute Deviation (MAD)714
Skewness1.3674904
Sum107319
Variance2367107.2
MonotonicityNot monotonic
2023-12-12T14:27:01.760519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2559 1
 
2.4%
2200 1
 
2.4%
2347 1
 
2.4%
2164 1
 
2.4%
2106 1
 
2.4%
2383 1
 
2.4%
1998 1
 
2.4%
2206 1
 
2.4%
1549 1
 
2.4%
2045 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
756 1
2.4%
1023 1
2.4%
1039 1
2.4%
1047 1
2.4%
1117 1
2.4%
1226 1
2.4%
1238 1
2.4%
1248 1
2.4%
1312 1
2.4%
1352 1
2.4%
ValueCountFrequency (%)
7654 1
2.4%
5856 1
2.4%
5583 1
2.4%
5105 1
2.4%
4433 1
2.4%
4360 1
2.4%
4329 1
2.4%
4304 1
2.4%
4047 1
2.4%
3635 1
2.4%

2015-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2632.0732
Minimum757
Maximum7738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:01.881547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum757
5-th percentile1044
Q11563
median2171
Q32896
95-th percentile5601
Maximum7738
Range6981
Interquartile range (IQR)1333

Descriptive statistics

Standard deviation1552.9778
Coefficient of variation (CV)0.59002076
Kurtosis1.8262664
Mean2632.0732
Median Absolute Deviation (MAD)725
Skewness1.3760702
Sum107915
Variance2411740.1
MonotonicityNot monotonic
2023-12-12T14:27:02.007488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2574 1
 
2.4%
2210 1
 
2.4%
2367 1
 
2.4%
2171 1
 
2.4%
2114 1
 
2.4%
2391 1
 
2.4%
2003 1
 
2.4%
2228 1
 
2.4%
1564 1
 
2.4%
2045 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
757 1
2.4%
1021 1
2.4%
1044 1
2.4%
1052 1
2.4%
1122 1
2.4%
1229 1
2.4%
1241 1
2.4%
1248 1
2.4%
1299 1
2.4%
1351 1
2.4%
ValueCountFrequency (%)
7738 1
2.4%
5912 1
2.4%
5601 1
2.4%
5142 1
2.4%
4467 1
2.4%
4379 1
2.4%
4360 1
2.4%
4320 1
2.4%
4061 1
2.4%
3661 1
2.4%

2015-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2722.2683
Minimum811
Maximum8097
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:02.190577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum811
5-th percentile1153
Q11800
median2258
Q32985
95-th percentile5536
Maximum8097
Range7286
Interquartile range (IQR)1185

Descriptive statistics

Standard deviation1545.1246
Coefficient of variation (CV)0.5675872
Kurtosis2.620227
Mean2722.2683
Median Absolute Deviation (MAD)696
Skewness1.5102227
Sum111613
Variance2387410.2
MonotonicityNot monotonic
2023-12-12T14:27:02.349769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2640 1
 
2.4%
2393 1
 
2.4%
2369 1
 
2.4%
2258 1
 
2.4%
2190 1
 
2.4%
2520 1
 
2.4%
2066 1
 
2.4%
2399 1
 
2.4%
1838 1
 
2.4%
2052 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
811 1
2.4%
1054 1
2.4%
1153 1
2.4%
1157 1
2.4%
1255 1
2.4%
1275 1
2.4%
1287 1
2.4%
1302 1
2.4%
1389 1
2.4%
1665 1
2.4%
ValueCountFrequency (%)
8097 1
2.4%
6064 1
2.4%
5536 1
2.4%
5187 1
2.4%
4493 1
2.4%
4482 1
2.4%
4260 1
2.4%
4104 1
2.4%
4084 1
2.4%
3718 1
2.4%

2015-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2731.0732
Minimum812
Maximum8127
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:02.499424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum812
5-th percentile1156
Q11802
median2263
Q33000
95-th percentile5539
Maximum8127
Range7315
Interquartile range (IQR)1198

Descriptive statistics

Standard deviation1549.7818
Coefficient of variation (CV)0.56746257
Kurtosis2.631252
Mean2731.0732
Median Absolute Deviation (MAD)705
Skewness1.5112201
Sum111974
Variance2401823.6
MonotonicityNot monotonic
2023-12-12T14:27:02.666674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2649 1
 
2.4%
2400 1
 
2.4%
2372 1
 
2.4%
2263 1
 
2.4%
2197 1
 
2.4%
2521 1
 
2.4%
2070 1
 
2.4%
2419 1
 
2.4%
1850 1
 
2.4%
2053 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
812 1
2.4%
1059 1
2.4%
1156 1
2.4%
1160 1
2.4%
1254 1
2.4%
1283 1
2.4%
1290 1
2.4%
1314 1
2.4%
1393 1
2.4%
1670 1
2.4%
ValueCountFrequency (%)
8127 1
2.4%
6085 1
2.4%
5539 1
2.4%
5204 1
2.4%
4505 1
2.4%
4494 1
2.4%
4274 1
2.4%
4121 1
2.4%
4093 1
2.4%
3732 1
2.4%

2015-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2742.7073
Minimum813
Maximum8169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:02.827963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum813
5-th percentile1162
Q11807
median2271
Q33011
95-th percentile5548
Maximum8169
Range7356
Interquartile range (IQR)1204

Descriptive statistics

Standard deviation1557.6469
Coefficient of variation (CV)0.56792313
Kurtosis2.6360124
Mean2742.7073
Median Absolute Deviation (MAD)711
Skewness1.5115494
Sum112451
Variance2426263.9
MonotonicityNot monotonic
2023-12-12T14:27:02.976584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2661 1
 
2.4%
2410 1
 
2.4%
2380 1
 
2.4%
2271 1
 
2.4%
2204 1
 
2.4%
2531 1
 
2.4%
2077 1
 
2.4%
2442 1
 
2.4%
1850 1
 
2.4%
2053 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
813 1
2.4%
1060 1
2.4%
1162 1
2.4%
1167 1
2.4%
1253 1
2.4%
1288 1
2.4%
1294 1
2.4%
1332 1
2.4%
1396 1
2.4%
1676 1
2.4%
ValueCountFrequency (%)
8169 1
2.4%
6116 1
2.4%
5548 1
2.4%
5230 1
2.4%
4528 1
2.4%
4517 1
2.4%
4295 1
2.4%
4150 1
2.4%
4101 1
2.4%
3750 1
2.4%

2015-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2757.4146
Minimum813
Maximum8246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:03.139922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum813
5-th percentile1163
Q11807
median2286
Q33020
95-th percentile5550
Maximum8246
Range7433
Interquartile range (IQR)1213

Descriptive statistics

Standard deviation1570.6178
Coefficient of variation (CV)0.56959799
Kurtosis2.6810967
Mean2757.4146
Median Absolute Deviation (MAD)712
Skewness1.518166
Sum113054
Variance2466840.3
MonotonicityNot monotonic
2023-12-12T14:27:03.327964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2674 1
 
2.4%
2420 1
 
2.4%
2384 1
 
2.4%
2286 1
 
2.4%
2217 1
 
2.4%
2560 1
 
2.4%
2079 1
 
2.4%
2459 1
 
2.4%
1862 1
 
2.4%
2057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
813 1
2.4%
1061 1
2.4%
1163 1
2.4%
1170 1
2.4%
1249 1
2.4%
1291 1
2.4%
1295 1
2.4%
1342 1
2.4%
1398 1
2.4%
1682 1
2.4%
ValueCountFrequency (%)
8246 1
2.4%
6168 1
2.4%
5550 1
2.4%
5267 1
2.4%
4556 1
2.4%
4550 1
2.4%
4316 1
2.4%
4175 1
2.4%
4121 1
2.4%
3772 1
2.4%

2015-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2764.7805
Minimum814
Maximum8201
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:03.488151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum814
5-th percentile1164
Q11807
median2293
Q33038
95-th percentile5565
Maximum8201
Range7387
Interquartile range (IQR)1231

Descriptive statistics

Standard deviation1569.1046
Coefficient of variation (CV)0.56753316
Kurtosis2.5428116
Mean2764.7805
Median Absolute Deviation (MAD)721
Skewness1.4894256
Sum113356
Variance2462089.2
MonotonicityNot monotonic
2023-12-12T14:27:03.639018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2682 1
 
2.4%
2430 1
 
2.4%
2395 1
 
2.4%
2293 1
 
2.4%
2222 1
 
2.4%
2572 1
 
2.4%
2084 1
 
2.4%
2472 1
 
2.4%
1865 1
 
2.4%
2056 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
814 1
2.4%
1062 1
2.4%
1164 1
2.4%
1172 1
2.4%
1252 1
2.4%
1292 1
2.4%
1296 1
2.4%
1352 1
2.4%
1394 1
2.4%
1685 1
2.4%
ValueCountFrequency (%)
8201 1
2.4%
6161 1
2.4%
5565 1
2.4%
5275 1
2.4%
4575 1
2.4%
4573 1
2.4%
4338 1
2.4%
4201 1
2.4%
4137 1
2.4%
3784 1
2.4%

2015-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2771.3171
Minimum818
Maximum8226
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:03.826273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum818
5-th percentile1161
Q11812
median2301
Q33044
95-th percentile5574
Maximum8226
Range7408
Interquartile range (IQR)1232

Descriptive statistics

Standard deviation1573.8825
Coefficient of variation (CV)0.56791858
Kurtosis2.5486348
Mean2771.3171
Median Absolute Deviation (MAD)719
Skewness1.4911665
Sum113624
Variance2477106
MonotonicityNot monotonic
2023-12-12T14:27:04.055553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2688 1
 
2.4%
2436 1
 
2.4%
2403 1
 
2.4%
2301 1
 
2.4%
2225 1
 
2.4%
2594 1
 
2.4%
2084 1
 
2.4%
2466 1
 
2.4%
1870 1
 
2.4%
2057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
818 1
2.4%
1063 1
2.4%
1161 1
2.4%
1179 1
2.4%
1252 1
2.4%
1297 1
2.4%
1298 1
2.4%
1369 1
2.4%
1390 1
2.4%
1688 1
2.4%
ValueCountFrequency (%)
8226 1
2.4%
6182 1
2.4%
5574 1
2.4%
5291 1
2.4%
4589 1
2.4%
4578 1
2.4%
4352 1
2.4%
4217 1
2.4%
4144 1
2.4%
3794 1
2.4%

2016-01
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.8537
Minimum819
Maximum8242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:04.195929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum819
5-th percentile1160
Q11810
median2309
Q33045
95-th percentile5575
Maximum8242
Range7423
Interquartile range (IQR)1235

Descriptive statistics

Standard deviation1576.2145
Coefficient of variation (CV)0.56823998
Kurtosis2.5645104
Mean2773.8537
Median Absolute Deviation (MAD)712
Skewness1.4941319
Sum113728
Variance2484452.3
MonotonicityNot monotonic
2023-12-12T14:27:04.360188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1297 2
 
4.9%
2690 1
 
2.4%
2206 1
 
2.4%
2309 1
 
2.4%
2234 1
 
2.4%
2606 1
 
2.4%
2084 1
 
2.4%
2461 1
 
2.4%
1871 1
 
2.4%
2054 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
819 1
2.4%
1063 1
2.4%
1160 1
2.4%
1179 1
2.4%
1248 1
2.4%
1297 2
4.9%
1385 1
2.4%
1390 1
2.4%
1688 1
2.4%
1810 1
2.4%
ValueCountFrequency (%)
8242 1
2.4%
6193 1
2.4%
5575 1
2.4%
5297 1
2.4%
4598 1
2.4%
4583 1
2.4%
4352 1
2.4%
4216 1
2.4%
4146 1
2.4%
3797 1
2.4%

2016-02
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.7073
Minimum819
Maximum8213
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:04.524802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum819
5-th percentile1159
Q11810
median2311
Q33041
95-th percentile5575
Maximum8213
Range7394
Interquartile range (IQR)1231

Descriptive statistics

Standard deviation1572.0459
Coefficient of variation (CV)0.56676704
Kurtosis2.5233481
Mean2773.7073
Median Absolute Deviation (MAD)710
Skewness1.4850492
Sum113722
Variance2471328.3
MonotonicityNot monotonic
2023-12-12T14:27:04.669795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1297 2
 
4.9%
2689 1
 
2.4%
2218 1
 
2.4%
2311 1
 
2.4%
2236 1
 
2.4%
2611 1
 
2.4%
2086 1
 
2.4%
2457 1
 
2.4%
1877 1
 
2.4%
2051 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
819 1
2.4%
1061 1
2.4%
1159 1
2.4%
1181 1
2.4%
1242 1
2.4%
1297 2
4.9%
1392 1
2.4%
1403 1
2.4%
1689 1
2.4%
1810 1
2.4%
ValueCountFrequency (%)
8213 1
2.4%
6178 1
2.4%
5575 1
2.4%
5291 1
2.4%
4593 1
2.4%
4583 1
2.4%
4353 1
2.4%
4218 1
2.4%
4149 1
2.4%
3795 1
2.4%

2016-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.6829
Minimum821
Maximum8212
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:04.804673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum821
5-th percentile1153
Q11811
median2313
Q33040
95-th percentile5581
Maximum8212
Range7391
Interquartile range (IQR)1229

Descriptive statistics

Standard deviation1572.4492
Coefficient of variation (CV)0.56691744
Kurtosis2.5176974
Mean2773.6829
Median Absolute Deviation (MAD)708
Skewness1.4839197
Sum113721
Variance2472596.6
MonotonicityNot monotonic
2023-12-12T14:27:04.964853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2688 1
 
2.4%
2453 1
 
2.4%
2402 1
 
2.4%
2313 1
 
2.4%
2239 1
 
2.4%
2613 1
 
2.4%
2087 1
 
2.4%
2451 1
 
2.4%
1877 1
 
2.4%
2060 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
821 1
2.4%
1062 1
2.4%
1153 1
2.4%
1182 1
2.4%
1232 1
2.4%
1295 1
2.4%
1297 1
2.4%
1389 1
2.4%
1408 1
2.4%
1688 1
2.4%
ValueCountFrequency (%)
8212 1
2.4%
6178 1
2.4%
5581 1
2.4%
5291 1
2.4%
4593 1
2.4%
4581 1
2.4%
4355 1
2.4%
4219 1
2.4%
4150 1
2.4%
3795 1
2.4%

2016-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2773.9512
Minimum825
Maximum8214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:05.140994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum825
5-th percentile1151
Q11817
median2314
Q33038
95-th percentile5586
Maximum8214
Range7389
Interquartile range (IQR)1221

Descriptive statistics

Standard deviation1573.5637
Coefficient of variation (CV)0.56726438
Kurtosis2.5115306
Mean2773.9512
Median Absolute Deviation (MAD)706
Skewness1.4835349
Sum113732
Variance2476102.7
MonotonicityNot monotonic
2023-12-12T14:27:05.300449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2688 1
 
2.4%
2453 1
 
2.4%
2401 1
 
2.4%
2314 1
 
2.4%
2240 1
 
2.4%
2613 1
 
2.4%
2088 1
 
2.4%
2446 1
 
2.4%
1874 1
 
2.4%
2058 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
825 1
2.4%
1063 1
2.4%
1151 1
2.4%
1183 1
2.4%
1225 1
2.4%
1295 1
2.4%
1298 1
2.4%
1383 1
2.4%
1408 1
2.4%
1687 1
2.4%
ValueCountFrequency (%)
8214 1
2.4%
6179 1
2.4%
5586 1
2.4%
5294 1
2.4%
4594 1
2.4%
4585 1
2.4%
4359 1
2.4%
4222 1
2.4%
4155 1
2.4%
3795 1
2.4%

2016-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2776.561
Minimum830
Maximum8238
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:05.449409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum830
5-th percentile1146
Q11806
median2319
Q33036
95-th percentile5590
Maximum8238
Range7408
Interquartile range (IQR)1230

Descriptive statistics

Standard deviation1578.0063
Coefficient of variation (CV)0.56833121
Kurtosis2.5300774
Mean2776.561
Median Absolute Deviation (MAD)702
Skewness1.4877335
Sum113839
Variance2490103.8
MonotonicityNot monotonic
2023-12-12T14:27:05.627383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2689 1
 
2.4%
2453 1
 
2.4%
2401 1
 
2.4%
2319 1
 
2.4%
2246 1
 
2.4%
2618 1
 
2.4%
2091 1
 
2.4%
2441 1
 
2.4%
1877 1
 
2.4%
2059 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
830 1
2.4%
1062 1
2.4%
1146 1
2.4%
1184 1
2.4%
1219 1
2.4%
1291 1
2.4%
1302 1
2.4%
1381 1
2.4%
1408 1
2.4%
1686 1
2.4%
ValueCountFrequency (%)
8238 1
2.4%
6197 1
2.4%
5590 1
2.4%
5305 1
2.4%
4608 1
2.4%
4584 1
2.4%
4363 1
2.4%
4226 1
2.4%
4160 1
2.4%
3800 1
2.4%

2016-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2777.4634
Minimum834
Maximum8228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:05.817815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum834
5-th percentile1141
Q11799
median2322
Q33032
95-th percentile5599
Maximum8228
Range7394
Interquartile range (IQR)1233

Descriptive statistics

Standard deviation1577.9542
Coefficient of variation (CV)0.56812779
Kurtosis2.5012379
Mean2777.4634
Median Absolute Deviation (MAD)701
Skewness1.4823459
Sum113876
Variance2489939.3
MonotonicityNot monotonic
2023-12-12T14:27:06.004213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2690 1
 
2.4%
2466 1
 
2.4%
2403 1
 
2.4%
2322 1
 
2.4%
2247 1
 
2.4%
2623 1
 
2.4%
2095 1
 
2.4%
2438 1
 
2.4%
1880 1
 
2.4%
2057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
834 1
2.4%
1065 1
2.4%
1141 1
2.4%
1187 1
2.4%
1217 1
2.4%
1288 1
2.4%
1304 1
2.4%
1375 1
2.4%
1408 1
2.4%
1685 1
2.4%
ValueCountFrequency (%)
8228 1
2.4%
6196 1
2.4%
5599 1
2.4%
5305 1
2.4%
4613 1
2.4%
4590 1
2.4%
4364 1
2.4%
4222 1
2.4%
4171 1
2.4%
3801 1
2.4%

2016-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2784.1951
Minimum834
Maximum8290
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:06.147137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum834
5-th percentile1122
Q11799
median2323
Q33037
95-th percentile5660
Maximum8290
Range7456
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation1591.0821
Coefficient of variation (CV)0.57146932
Kurtosis2.5356314
Mean2784.1951
Median Absolute Deviation (MAD)709
Skewness1.4918939
Sum114152
Variance2531542.2
MonotonicityNot monotonic
2023-12-12T14:27:06.661808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2695 1
 
2.4%
2454 1
 
2.4%
2407 1
 
2.4%
2323 1
 
2.4%
2246 1
 
2.4%
2626 1
 
2.4%
2098 1
 
2.4%
2434 1
 
2.4%
1885 1
 
2.4%
2057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
834 1
2.4%
1066 1
2.4%
1122 1
2.4%
1187 1
2.4%
1215 1
2.4%
1285 1
2.4%
1304 1
2.4%
1375 1
2.4%
1409 1
2.4%
1682 1
2.4%
ValueCountFrequency (%)
8290 1
2.4%
6230 1
2.4%
5660 1
2.4%
5330 1
2.4%
4626 1
2.4%
4597 1
2.4%
4380 1
2.4%
4233 1
2.4%
4178 1
2.4%
3815 1
2.4%

2016-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2789.4634
Minimum836
Maximum8337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:06.819847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum836
5-th percentile1113
Q11799
median2340
Q33037
95-th percentile5665
Maximum8337
Range7501
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation1598.7403
Coefficient of variation (CV)0.57313541
Kurtosis2.577278
Mean2789.4634
Median Absolute Deviation (MAD)695
Skewness1.4996492
Sum114368
Variance2555970.4
MonotonicityNot monotonic
2023-12-12T14:27:06.980756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2700 1
 
2.4%
2444 1
 
2.4%
2408 1
 
2.4%
2340 1
 
2.4%
2254 1
 
2.4%
2664 1
 
2.4%
2102 1
 
2.4%
2427 1
 
2.4%
1883 1
 
2.4%
2061 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
836 1
2.4%
1067 1
2.4%
1113 1
2.4%
1187 1
2.4%
1215 1
2.4%
1283 1
2.4%
1305 1
2.4%
1373 1
2.4%
1410 1
2.4%
1683 1
2.4%
ValueCountFrequency (%)
8337 1
2.4%
6258 1
2.4%
5665 1
2.4%
5349 1
2.4%
4638 1
2.4%
4599 1
2.4%
4389 1
2.4%
4244 1
2.4%
4185 1
2.4%
3824 1
2.4%

2016-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2812.1463
Minimum852
Maximum8264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:07.151798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum852
5-th percentile1105
Q11806
median2415
Q33038
95-th percentile5697
Maximum8264
Range7412
Interquartile range (IQR)1232

Descriptive statistics

Standard deviation1581.8358
Coefficient of variation (CV)0.56250124
Kurtosis2.4594301
Mean2812.1463
Median Absolute Deviation (MAD)623
Skewness1.4599121
Sum115298
Variance2502204.5
MonotonicityNot monotonic
2023-12-12T14:27:07.310494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2701 1
 
2.4%
2489 1
 
2.4%
2415 1
 
2.4%
2365 1
 
2.4%
2283 1
 
2.4%
2686 1
 
2.4%
2123 1
 
2.4%
2439 1
 
2.4%
1888 1
 
2.4%
2100 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
852 1
2.4%
1071 1
2.4%
1105 1
2.4%
1196 1
2.4%
1227 1
2.4%
1294 1
2.4%
1305 1
2.4%
1377 1
2.4%
1557 1
2.4%
1703 1
2.4%
ValueCountFrequency (%)
8264 1
2.4%
6193 1
2.4%
5697 1
2.4%
5322 1
2.4%
4644 1
2.4%
4601 1
2.4%
4408 1
2.4%
4250 1
2.4%
4240 1
2.4%
3807 1
2.4%

2016-10
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2819.8537
Minimum852
Maximum8318
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:07.459827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum852
5-th percentile1103
Q11806
median2420
Q33044
95-th percentile5717
Maximum8318
Range7466
Interquartile range (IQR)1238

Descriptive statistics

Standard deviation1591.2249
Coefficient of variation (CV)0.56429345
Kurtosis2.4984605
Mean2819.8537
Median Absolute Deviation (MAD)624
Skewness1.4667138
Sum115614
Variance2531996.8
MonotonicityNot monotonic
2023-12-12T14:27:07.604204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2708 2
 
4.9%
2934 1
 
2.4%
2420 1
 
2.4%
2382 1
 
2.4%
2297 1
 
2.4%
2135 1
 
2.4%
2440 1
 
2.4%
1888 1
 
2.4%
2101 1
 
2.4%
2492 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
852 1
2.4%
1072 1
2.4%
1103 1
2.4%
1196 1
2.4%
1217 1
2.4%
1292 1
2.4%
1306 1
2.4%
1373 1
2.4%
1562 1
2.4%
1704 1
2.4%
ValueCountFrequency (%)
8318 1
2.4%
6225 1
2.4%
5717 1
2.4%
5345 1
2.4%
4659 1
2.4%
4596 1
2.4%
4423 1
2.4%
4265 1
2.4%
4254 1
2.4%
3818 1
2.4%

2016-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2829.6341
Minimum853
Maximum8390
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:07.743170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum853
5-th percentile1099
Q11804
median2424
Q33046
95-th percentile5726
Maximum8390
Range7537
Interquartile range (IQR)1242

Descriptive statistics

Standard deviation1601.6786
Coefficient of variation (CV)0.56603733
Kurtosis2.5689338
Mean2829.6341
Median Absolute Deviation (MAD)622
Skewness1.4796601
Sum116015
Variance2565374.2
MonotonicityNot monotonic
2023-12-12T14:27:07.915802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2716 1
 
2.4%
2500 1
 
2.4%
2424 1
 
2.4%
2401 1
 
2.4%
2304 1
 
2.4%
2742 1
 
2.4%
2157 1
 
2.4%
2440 1
 
2.4%
1888 1
 
2.4%
2102 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
853 1
2.4%
1074 1
2.4%
1099 1
2.4%
1205 1
2.4%
1213 1
2.4%
1292 1
2.4%
1309 1
2.4%
1372 1
2.4%
1574 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8390 1
2.4%
6264 1
2.4%
5726 1
2.4%
5374 1
2.4%
4674 1
2.4%
4598 1
2.4%
4439 1
2.4%
4284 1
2.4%
4264 1
2.4%
3832 1
2.4%

2016-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.7805
Minimum853
Maximum8357
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:08.064158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum853
5-th percentile1093
Q11797
median2425
Q33048
95-th percentile5742
Maximum8357
Range7504
Interquartile range (IQR)1251

Descriptive statistics

Standard deviation1600.5
Coefficient of variation (CV)0.56519212
Kurtosis2.48889
Mean2831.7805
Median Absolute Deviation (MAD)628
Skewness1.4637931
Sum116103
Variance2561600.3
MonotonicityNot monotonic
2023-12-12T14:27:08.221566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2717 1
 
2.4%
2501 1
 
2.4%
2425 1
 
2.4%
2413 1
 
2.4%
2311 1
 
2.4%
2755 1
 
2.4%
2175 1
 
2.4%
2440 1
 
2.4%
1886 1
 
2.4%
2108 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
853 1
2.4%
1075 1
2.4%
1093 1
2.4%
1206 1
2.4%
1210 1
2.4%
1290 1
2.4%
1308 1
2.4%
1371 1
2.4%
1578 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8357 1
2.4%
6263 1
2.4%
5742 1
2.4%
5376 1
2.4%
4696 1
2.4%
4598 1
2.4%
4445 1
2.4%
4286 1
2.4%
4274 1
2.4%
3833 1
2.4%

2017-01
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.1951
Minimum854
Maximum8324
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:08.389006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum854
5-th percentile1090
Q11795
median2425
Q33049
95-th percentile5744
Maximum8324
Range7470
Interquartile range (IQR)1254

Descriptive statistics

Standard deviation1597.2646
Coefficient of variation (CV)0.56416621
Kurtosis2.4322815
Mean2831.1951
Median Absolute Deviation (MAD)630
Skewness1.452495
Sum116079
Variance2551254.3
MonotonicityNot monotonic
2023-12-12T14:27:08.522532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
4286 2
 
4.9%
2664 1
 
2.4%
2419 1
 
2.4%
2316 1
 
2.4%
2759 1
 
2.4%
2188 1
 
2.4%
2438 1
 
2.4%
1883 1
 
2.4%
2110 1
 
2.4%
2495 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
854 1
2.4%
1075 1
2.4%
1090 1
2.4%
1208 1
2.4%
1209 1
2.4%
1288 1
2.4%
1309 1
2.4%
1370 1
2.4%
1579 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8324 1
2.4%
6252 1
2.4%
5744 1
2.4%
5372 1
2.4%
4701 1
2.4%
4594 1
2.4%
4448 1
2.4%
4286 2
4.9%
3831 1
2.4%
3049 1
2.4%

2017-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2831.8293
Minimum855
Maximum8317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:08.738807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum855
5-th percentile1085
Q11794
median2428
Q33050
95-th percentile5744
Maximum8317
Range7462
Interquartile range (IQR)1256

Descriptive statistics

Standard deviation1597.6111
Coefficient of variation (CV)0.56416221
Kurtosis2.409529
Mean2831.8293
Median Absolute Deviation (MAD)634
Skewness1.4481516
Sum116105
Variance2552361.1
MonotonicityNot monotonic
2023-12-12T14:27:08.953209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2716 1
 
2.4%
2496 1
 
2.4%
2428 1
 
2.4%
2422 1
 
2.4%
2318 1
 
2.4%
2763 1
 
2.4%
2194 1
 
2.4%
2438 1
 
2.4%
1884 1
 
2.4%
2110 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
855 1
2.4%
1076 1
2.4%
1085 1
2.4%
1206 1
2.4%
1210 1
2.4%
1287 1
2.4%
1308 1
2.4%
1368 1
2.4%
1579 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8317 1
2.4%
6255 1
2.4%
5744 1
2.4%
5373 1
2.4%
4713 1
2.4%
4605 1
2.4%
4447 1
2.4%
4287 1
2.4%
4284 1
2.4%
3833 1
2.4%

2017-03
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2835.4878
Minimum857
Maximum8359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:09.146844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum857
5-th percentile1082
Q11797
median2431
Q33051
95-th percentile5751
Maximum8359
Range7502
Interquartile range (IQR)1254

Descriptive statistics

Standard deviation1603.5739
Coefficient of variation (CV)0.56553724
Kurtosis2.4575859
Mean2835.4878
Median Absolute Deviation (MAD)634
Skewness1.4581039
Sum116255
Variance2571449.4
MonotonicityNot monotonic
2023-12-12T14:27:09.327767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3051 2
 
4.9%
2720 1
 
2.4%
2495 1
 
2.4%
2427 1
 
2.4%
2324 1
 
2.4%
2764 1
 
2.4%
2200 1
 
2.4%
2438 1
 
2.4%
1881 1
 
2.4%
2111 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
857 1
2.4%
1078 1
2.4%
1082 1
2.4%
1202 1
2.4%
1211 1
2.4%
1287 1
2.4%
1310 1
2.4%
1368 1
2.4%
1580 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8359 1
2.4%
6276 1
2.4%
5751 1
2.4%
5385 1
2.4%
4717 1
2.4%
4610 1
2.4%
4450 1
2.4%
4299 1
2.4%
4283 1
2.4%
3839 1
2.4%

2017-04
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2839.4878
Minimum862
Maximum8373
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:09.502645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum862
5-th percentile1081
Q11795
median2433
Q33055
95-th percentile5767
Maximum8373
Range7511
Interquartile range (IQR)1260

Descriptive statistics

Standard deviation1608.4943
Coefficient of variation (CV)0.5664734
Kurtosis2.4409242
Mean2839.4878
Median Absolute Deviation (MAD)638
Skewness1.4567901
Sum116419
Variance2587253.9
MonotonicityNot monotonic
2023-12-12T14:27:09.659038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2433 2
 
4.9%
2723 1
 
2.4%
2951 1
 
2.4%
2335 1
 
2.4%
2763 1
 
2.4%
2207 1
 
2.4%
2434 1
 
2.4%
1878 1
 
2.4%
2101 1
 
2.4%
2491 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
862 1
2.4%
1078 1
2.4%
1081 1
2.4%
1200 1
2.4%
1217 1
2.4%
1287 1
2.4%
1310 1
2.4%
1363 1
2.4%
1580 1
2.4%
1707 1
2.4%
ValueCountFrequency (%)
8373 1
2.4%
6293 1
2.4%
5767 1
2.4%
5399 1
2.4%
4737 1
2.4%
4618 1
2.4%
4461 1
2.4%
4307 1
2.4%
4294 1
2.4%
3847 1
2.4%

2017-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2845.4146
Minimum863
Maximum8426
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:09.813015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum863
5-th percentile1083
Q11788
median2438
Q33061
95-th percentile5784
Maximum8426
Range7563
Interquartile range (IQR)1273

Descriptive statistics

Standard deviation1617.0163
Coefficient of variation (CV)0.56828847
Kurtosis2.4917352
Mean2845.4146
Median Absolute Deviation (MAD)650
Skewness1.4672013
Sum116662
Variance2614741.8
MonotonicityNot monotonic
2023-12-12T14:27:09.992643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2728 1
 
2.4%
2500 1
 
2.4%
2438 1
 
2.4%
2445 1
 
2.4%
2349 1
 
2.4%
2773 1
 
2.4%
2217 1
 
2.4%
2423 1
 
2.4%
1875 1
 
2.4%
2099 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
863 1
2.4%
1078 1
2.4%
1083 1
2.4%
1197 1
2.4%
1219 1
2.4%
1285 1
2.4%
1313 1
2.4%
1360 1
2.4%
1579 1
2.4%
1707 1
2.4%
ValueCountFrequency (%)
8426 1
2.4%
6325 1
2.4%
5784 1
2.4%
5419 1
2.4%
4754 1
2.4%
4621 1
2.4%
4469 1
2.4%
4312 1
2.4%
4286 1
2.4%
3858 1
2.4%

2017-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2859.7805
Minimum866
Maximum8541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:10.157051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum866
5-th percentile1085
Q11782
median2441
Q33068
95-th percentile5817
Maximum8541
Range7675
Interquartile range (IQR)1286

Descriptive statistics

Standard deviation1636.7615
Coefficient of variation (CV)0.57233816
Kurtosis2.5806564
Mean2859.7805
Median Absolute Deviation (MAD)659
Skewness1.4858382
Sum117251
Variance2678988.2
MonotonicityNot monotonic
2023-12-12T14:27:10.294200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2739 1
 
2.4%
2494 1
 
2.4%
2441 1
 
2.4%
2453 1
 
2.4%
2357 1
 
2.4%
2787 1
 
2.4%
2218 1
 
2.4%
2421 1
 
2.4%
1878 1
 
2.4%
2100 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
866 1
2.4%
1075 1
2.4%
1085 1
2.4%
1197 1
2.4%
1222 1
2.4%
1284 1
2.4%
1315 1
2.4%
1359 1
2.4%
1579 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8541 1
2.4%
6395 1
2.4%
5817 1
2.4%
5465 1
2.4%
4789 1
2.4%
4637 1
2.4%
4491 1
2.4%
4331 1
2.4%
4307 1
2.4%
3880 1
2.4%

2017-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2867.2439
Minimum869
Maximum8556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:10.433946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum869
5-th percentile1087
Q11775
median2443
Q33076
95-th percentile5860
Maximum8556
Range7687
Interquartile range (IQR)1301

Descriptive statistics

Standard deviation1645.0165
Coefficient of variation (CV)0.57372745
Kurtosis2.527448
Mean2867.2439
Median Absolute Deviation (MAD)668
Skewness1.4776931
Sum117557
Variance2706079.4
MonotonicityNot monotonic
2023-12-12T14:27:10.628870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2745 1
 
2.4%
2490 1
 
2.4%
2443 1
 
2.4%
2462 1
 
2.4%
2374 1
 
2.4%
2789 1
 
2.4%
2221 1
 
2.4%
2425 1
 
2.4%
1882 1
 
2.4%
2100 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
869 1
2.4%
1070 1
2.4%
1087 1
2.4%
1190 1
2.4%
1227 1
2.4%
1281 1
2.4%
1318 1
2.4%
1351 1
2.4%
1580 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8556 1
2.4%
6416 1
2.4%
5860 1
2.4%
5488 1
2.4%
4815 1
2.4%
4658 1
2.4%
4514 1
2.4%
4353 1
2.4%
4326 1
2.4%
3892 1
2.4%

2017-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2877.5122
Minimum870
Maximum8623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:10.795784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum870
5-th percentile1093
Q11766
median2447
Q33091
95-th percentile5885
Maximum8623
Range7753
Interquartile range (IQR)1325

Descriptive statistics

Standard deviation1659.2243
Coefficient of variation (CV)0.57661764
Kurtosis2.5427451
Mean2877.5122
Median Absolute Deviation (MAD)681
Skewness1.4824312
Sum117978
Variance2753025.3
MonotonicityNot monotonic
2023-12-12T14:27:10.938680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2754 1
 
2.4%
2481 1
 
2.4%
2447 1
 
2.4%
2464 1
 
2.4%
2381 1
 
2.4%
2789 1
 
2.4%
2219 1
 
2.4%
2440 1
 
2.4%
1885 1
 
2.4%
2101 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
870 1
2.4%
1067 1
2.4%
1093 1
2.4%
1184 1
2.4%
1230 1
2.4%
1278 1
2.4%
1317 1
2.4%
1348 1
2.4%
1584 1
2.4%
1709 1
2.4%
ValueCountFrequency (%)
8623 1
2.4%
6456 1
2.4%
5885 1
2.4%
5519 1
2.4%
4835 1
2.4%
4713 1
2.4%
4536 1
2.4%
4372 1
2.4%
4353 1
2.4%
3911 1
2.4%

2017-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2879.0244
Minimum875
Maximum8590
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:11.080773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum875
5-th percentile1095
Q11757
median2456
Q33096
95-th percentile5898
Maximum8590
Range7715
Interquartile range (IQR)1339

Descriptive statistics

Standard deviation1657.1933
Coefficient of variation (CV)0.57560932
Kurtosis2.46759
Mean2879.0244
Median Absolute Deviation (MAD)699
Skewness1.467744
Sum118040
Variance2746289.6
MonotonicityNot monotonic
2023-12-12T14:27:11.546983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2755 1
 
2.4%
2486 1
 
2.4%
2456 1
 
2.4%
2466 1
 
2.4%
2380 1
 
2.4%
2789 1
 
2.4%
2228 1
 
2.4%
2445 1
 
2.4%
1885 1
 
2.4%
2106 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
875 1
2.4%
1064 1
2.4%
1095 1
2.4%
1182 1
2.4%
1236 1
2.4%
1276 1
2.4%
1319 1
2.4%
1341 1
2.4%
1586 1
2.4%
1709 1
2.4%
ValueCountFrequency (%)
8590 1
2.4%
6441 1
2.4%
5898 1
2.4%
5515 1
2.4%
4834 1
2.4%
4746 1
2.4%
4544 1
2.4%
4381 1
2.4%
4360 1
2.4%
3914 1
2.4%

2017-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2882
Minimum878
Maximum8606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:11.676739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum878
5-th percentile1097
Q11750
median2461
Q33100
95-th percentile5908
Maximum8606
Range7728
Interquartile range (IQR)1350

Descriptive statistics

Standard deviation1661.2154
Coefficient of variation (CV)0.57641062
Kurtosis2.4655986
Mean2882
Median Absolute Deviation (MAD)711
Skewness1.4685496
Sum118162
Variance2759636.6
MonotonicityNot monotonic
2023-12-12T14:27:11.805322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2758 1
 
2.4%
2479 1
 
2.4%
2461 1
 
2.4%
2467 1
 
2.4%
2384 1
 
2.4%
2787 1
 
2.4%
2228 1
 
2.4%
2450 1
 
2.4%
1888 1
 
2.4%
2108 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
878 1
2.4%
1059 1
2.4%
1097 1
2.4%
1183 1
2.4%
1240 1
2.4%
1275 1
2.4%
1322 1
2.4%
1337 1
2.4%
1586 1
2.4%
1708 1
2.4%
ValueCountFrequency (%)
8606 1
2.4%
6453 1
2.4%
5908 1
2.4%
5525 1
2.4%
4843 1
2.4%
4763 1
2.4%
4551 1
2.4%
4388 1
2.4%
4365 1
2.4%
3920 1
2.4%

2017-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2888.2195
Minimum881
Maximum8638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:12.005174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum881
5-th percentile1102
Q11735
median2464
Q33106
95-th percentile5934
Maximum8638
Range7757
Interquartile range (IQR)1371

Descriptive statistics

Standard deviation1669.4448
Coefficient of variation (CV)0.57801868
Kurtosis2.4613032
Mean2888.2195
Median Absolute Deviation (MAD)729
Skewness1.4695332
Sum118417
Variance2787046
MonotonicityNot monotonic
2023-12-12T14:27:12.182628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2763 1
 
2.4%
2471 1
 
2.4%
2468 1
 
2.4%
2464 1
 
2.4%
2377 1
 
2.4%
2783 1
 
2.4%
2231 1
 
2.4%
2450 1
 
2.4%
1892 1
 
2.4%
2116 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
881 1
2.4%
1056 1
2.4%
1102 1
2.4%
1181 1
2.4%
1243 1
2.4%
1272 1
2.4%
1325 1
2.4%
1335 1
2.4%
1587 1
2.4%
1707 1
2.4%
ValueCountFrequency (%)
8638 1
2.4%
6480 1
2.4%
5934 1
2.4%
5545 1
2.4%
4865 1
2.4%
4778 1
2.4%
4565 1
2.4%
4401 1
2.4%
4373 1
2.4%
3931 1
2.4%

2017-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3227.6341
Minimum985
Maximum9762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:12.356540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum985
5-th percentile1204
Q12068
median2696
Q33340
95-th percentile7212
Maximum9762
Range8777
Interquartile range (IQR)1272

Descriptive statistics

Standard deviation1948.1586
Coefficient of variation (CV)0.60358717
Kurtosis2.1419599
Mean3227.6341
Median Absolute Deviation (MAD)644
Skewness1.4309331
Sum132333
Variance3795321.8
MonotonicityNot monotonic
2023-12-12T14:27:12.533999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3044 1
 
2.4%
2603 1
 
2.4%
2696 1
 
2.4%
2870 1
 
2.4%
2747 1
 
2.4%
3340 1
 
2.4%
2532 1
 
2.4%
2627 1
 
2.4%
2068 1
 
2.4%
2167 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
985 1
2.4%
1067 1
2.4%
1204 1
2.4%
1212 1
2.4%
1226 1
2.4%
1347 1
2.4%
1349 1
2.4%
1392 1
2.4%
1737 1
2.4%
1847 1
2.4%
ValueCountFrequency (%)
9762 1
2.4%
7245 1
2.4%
7212 1
2.4%
6316 1
2.4%
5378 1
2.4%
5354 1
2.4%
5304 1
2.4%
5298 1
2.4%
5087 1
2.4%
4365 1
2.4%

2018-01
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3245.0488
Minimum988
Maximum10018
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:12.686751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum988
5-th percentile1205
Q12071
median2700
Q33336
95-th percentile7333
Maximum10018
Range9030
Interquartile range (IQR)1265

Descriptive statistics

Standard deviation1989.1045
Coefficient of variation (CV)0.61296597
Kurtosis2.3534436
Mean3245.0488
Median Absolute Deviation (MAD)636
Skewness1.4807045
Sum133047
Variance3956536.6
MonotonicityNot monotonic
2023-12-12T14:27:12.812316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3336 2
 
4.9%
3058 1
 
2.4%
2588 1
 
2.4%
2700 1
 
2.4%
2868 1
 
2.4%
2750 1
 
2.4%
2524 1
 
2.4%
2628 1
 
2.4%
2071 1
 
2.4%
2171 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
988 1
2.4%
1065 1
2.4%
1205 1
2.4%
1211 1
2.4%
1223 1
2.4%
1344 1
2.4%
1349 1
2.4%
1390 1
2.4%
1726 1
2.4%
1845 1
2.4%
ValueCountFrequency (%)
10018 1
2.4%
7340 1
2.4%
7333 1
2.4%
6399 1
2.4%
5420 1
2.4%
5372 1
2.4%
5335 1
2.4%
5324 1
2.4%
5122 1
2.4%
4396 1
2.4%

2018-02
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3267.1951
Minimum991
Maximum10313
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:12.942787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum991
5-th percentile1197
Q12077
median2701
Q33343
95-th percentile7437
Maximum10313
Range9322
Interquartile range (IQR)1266

Descriptive statistics

Standard deviation2038.7322
Coefficient of variation (CV)0.62400074
Kurtosis2.5738295
Mean3267.1951
Median Absolute Deviation (MAD)642
Skewness1.5329732
Sum133955
Variance4156428.9
MonotonicityNot monotonic
2023-12-12T14:27:13.090067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3076 2
 
4.9%
2155 1
 
2.4%
2860 1
 
2.4%
2741 1
 
2.4%
3327 1
 
2.4%
2518 1
 
2.4%
2632 1
 
2.4%
2077 1
 
2.4%
2174 1
 
2.4%
2580 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
991 1
2.4%
1062 1
2.4%
1197 1
2.4%
1211 1
2.4%
1220 1
2.4%
1342 1
2.4%
1346 1
2.4%
1395 1
2.4%
1716 1
2.4%
1843 1
2.4%
ValueCountFrequency (%)
10313 1
2.4%
7491 1
2.4%
7437 1
2.4%
6498 1
2.4%
5459 1
2.4%
5446 1
2.4%
5383 1
2.4%
5380 1
2.4%
5146 1
2.4%
4437 1
2.4%

2018-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3273.9512
Minimum992
Maximum10343
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:13.267188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum992
5-th percentile1197
Q12077
median2702
Q33351
95-th percentile7471
Maximum10343
Range9351
Interquartile range (IQR)1274

Descriptive statistics

Standard deviation2050.6184
Coefficient of variation (CV)0.62634359
Kurtosis2.5333422
Mean3273.9512
Median Absolute Deviation (MAD)649
Skewness1.5285948
Sum134232
Variance4205035.6
MonotonicityNot monotonic
2023-12-12T14:27:13.415863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3082 1
 
2.4%
2573 1
 
2.4%
2702 1
 
2.4%
2852 1
 
2.4%
2731 1
 
2.4%
3321 1
 
2.4%
2513 1
 
2.4%
2633 1
 
2.4%
2077 1
 
2.4%
2184 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
992 1
2.4%
1055 1
2.4%
1197 1
2.4%
1211 1
2.4%
1219 1
2.4%
1339 1
2.4%
1348 1
2.4%
1393 1
2.4%
1709 1
2.4%
1840 1
2.4%
ValueCountFrequency (%)
10343 1
2.4%
7513 1
2.4%
7471 1
2.4%
6526 1
2.4%
5500 1
2.4%
5491 1
2.4%
5435 1
2.4%
5395 1
2.4%
5171 1
2.4%
4452 1
2.4%

2018-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3278.1951
Minimum990
Maximum10366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:13.639699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum990
5-th percentile1197
Q12076
median2702
Q33354
95-th percentile7503
Maximum10366
Range9376
Interquartile range (IQR)1278

Descriptive statistics

Standard deviation2061.1502
Coefficient of variation (CV)0.62874544
Kurtosis2.4994874
Mean3278.1951
Median Absolute Deviation (MAD)652
Skewness1.5259428
Sum134406
Variance4248340.3
MonotonicityNot monotonic
2023-12-12T14:27:13.796690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3085 1
 
2.4%
2566 1
 
2.4%
2702 1
 
2.4%
2841 1
 
2.4%
2722 1
 
2.4%
3300 1
 
2.4%
2508 1
 
2.4%
2633 1
 
2.4%
2076 1
 
2.4%
2188 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
990 1
2.4%
1051 1
2.4%
1197 1
2.4%
1211 1
2.4%
1215 1
2.4%
1336 1
2.4%
1348 1
2.4%
1393 1
2.4%
1700 1
2.4%
1837 1
2.4%
ValueCountFrequency (%)
10366 1
2.4%
7541 1
2.4%
7503 1
2.4%
6549 1
2.4%
5535 1
2.4%
5511 1
2.4%
5472 1
2.4%
5427 1
2.4%
5181 1
2.4%
4462 1
2.4%

2018-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3282.8293
Minimum993
Maximum10405
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:13.942615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum993
5-th percentile1197
Q12072
median2702
Q33355
95-th percentile7563
Maximum10405
Range9412
Interquartile range (IQR)1283

Descriptive statistics

Standard deviation2074.6317
Coefficient of variation (CV)0.63196455
Kurtosis2.4858262
Mean3282.8293
Median Absolute Deviation (MAD)653
Skewness1.527427
Sum134596
Variance4304096.8
MonotonicityNot monotonic
2023-12-12T14:27:14.096628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3088 1
 
2.4%
2555 1
 
2.4%
2702 1
 
2.4%
2836 1
 
2.4%
2717 1
 
2.4%
3296 1
 
2.4%
2505 1
 
2.4%
2635 1
 
2.4%
2072 1
 
2.4%
2186 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
993 1
2.4%
1049 1
2.4%
1197 1
2.4%
1206 1
2.4%
1210 1
2.4%
1330 1
2.4%
1336 1
2.4%
1387 1
2.4%
1690 1
2.4%
1832 1
2.4%
ValueCountFrequency (%)
10405 1
2.4%
7577 1
2.4%
7563 1
2.4%
6577 1
2.4%
5546 1
2.4%
5529 1
2.4%
5496 1
2.4%
5462 1
2.4%
5190 1
2.4%
4473 1
2.4%

2018-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3283.561
Minimum993
Maximum10414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:14.263433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum993
5-th percentile1197
Q12074
median2697
Q33350
95-th percentile7582
Maximum10414
Range9421
Interquartile range (IQR)1276

Descriptive statistics

Standard deviation2081.5682
Coefficient of variation (CV)0.63393622
Kurtosis2.4551983
Mean3283.561
Median Absolute Deviation (MAD)653
Skewness1.5240461
Sum134626
Variance4332926.4
MonotonicityNot monotonic
2023-12-12T14:27:14.424430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3087 1
 
2.4%
2531 1
 
2.4%
2697 1
 
2.4%
2830 1
 
2.4%
2711 1
 
2.4%
3287 1
 
2.4%
2502 1
 
2.4%
2634 1
 
2.4%
2074 1
 
2.4%
2186 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
993 1
2.4%
1044 1
2.4%
1197 1
2.4%
1200 1
2.4%
1206 1
2.4%
1326 1
2.4%
1331 1
2.4%
1380 1
2.4%
1684 1
2.4%
1828 1
2.4%
ValueCountFrequency (%)
10414 1
2.4%
7591 1
2.4%
7582 1
2.4%
6593 1
2.4%
5549 1
2.4%
5543 1
2.4%
5540 1
2.4%
5479 1
2.4%
5199 1
2.4%
4476 1
2.4%

2018-07
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3284.1707
Minimum994
Maximum10391
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:14.576083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum994
5-th percentile1194
Q12080
median2686
Q33349
95-th percentile7604
Maximum10391
Range9397
Interquartile range (IQR)1269

Descriptive statistics

Standard deviation2087.3544
Coefficient of variation (CV)0.63558037
Kurtosis2.3795945
Mean3284.1707
Median Absolute Deviation (MAD)663
Skewness1.5131928
Sum134651
Variance4357048.6
MonotonicityNot monotonic
2023-12-12T14:27:14.762024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3198 2
 
4.9%
3086 1
 
2.4%
2511 1
 
2.4%
2825 1
 
2.4%
2704 1
 
2.4%
3276 1
 
2.4%
2503 1
 
2.4%
2632 1
 
2.4%
2080 1
 
2.4%
2190 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
994 1
2.4%
1040 1
2.4%
1194 1
2.4%
1195 1
2.4%
1201 1
2.4%
1319 1
2.4%
1328 1
2.4%
1370 1
2.4%
1666 1
2.4%
1822 1
2.4%
ValueCountFrequency (%)
10391 1
2.4%
7625 1
2.4%
7604 1
2.4%
6609 1
2.4%
5574 1
2.4%
5566 1
2.4%
5539 1
2.4%
5519 1
2.4%
5207 1
2.4%
4480 1
2.4%

2018-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3290.9268
Minimum994
Maximum10417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:14.916613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum994
5-th percentile1185
Q12079
median2680
Q33352
95-th percentile7648
Maximum10417
Range9423
Interquartile range (IQR)1273

Descriptive statistics

Standard deviation2108.3368
Coefficient of variation (CV)0.64065137
Kurtosis2.2930312
Mean3290.9268
Median Absolute Deviation (MAD)672
Skewness1.50425
Sum134928
Variance4445083.9
MonotonicityNot monotonic
2023-12-12T14:27:15.094820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3090 1
 
2.4%
2485 1
 
2.4%
2680 1
 
2.4%
2822 1
 
2.4%
2705 1
 
2.4%
3269 1
 
2.4%
2500 1
 
2.4%
2632 1
 
2.4%
2079 1
 
2.4%
2189 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
994 1
2.4%
1037 1
2.4%
1185 1
2.4%
1193 1
2.4%
1197 1
2.4%
1308 1
2.4%
1312 1
2.4%
1361 1
2.4%
1646 1
2.4%
1814 1
2.4%
ValueCountFrequency (%)
10417 1
2.4%
7721 1
2.4%
7648 1
2.4%
6656 1
2.4%
5658 1
2.4%
5617 1
2.4%
5576 1
2.4%
5565 1
2.4%
5236 1
2.4%
4498 1
2.4%

2018-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3313.1707
Minimum995
Maximum10630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:15.251300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum995
5-th percentile1180
Q12087
median2679
Q33376
95-th percentile7775
Maximum10630
Range9635
Interquartile range (IQR)1289

Descriptive statistics

Standard deviation2151.5813
Coefficient of variation (CV)0.64940248
Kurtosis2.3686594
Mean3313.1707
Median Absolute Deviation (MAD)697
Skewness1.5252247
Sum135840
Variance4629302.1
MonotonicityNot monotonic
2023-12-12T14:27:15.404756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3111 1
 
2.4%
2460 1
 
2.4%
2679 1
 
2.4%
2815 1
 
2.4%
2701 1
 
2.4%
3259 1
 
2.4%
2491 1
 
2.4%
2637 1
 
2.4%
2087 1
 
2.4%
2188 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
995 1
2.4%
1033 1
2.4%
1180 1
2.4%
1201 1
2.4%
1202 1
2.4%
1303 1
2.4%
1305 1
2.4%
1351 1
2.4%
1632 1
2.4%
1809 1
2.4%
ValueCountFrequency (%)
10630 1
2.4%
7794 1
2.4%
7775 1
2.4%
6758 1
2.4%
5708 1
2.4%
5674 1
2.4%
5671 1
2.4%
5644 1
2.4%
5296 1
2.4%
4548 1
2.4%

2018-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3321.2683
Minimum996
Maximum10650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:15.555500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum996
5-th percentile1170
Q12104
median2683
Q33395
95-th percentile7801
Maximum10650
Range9654
Interquartile range (IQR)1291

Descriptive statistics

Standard deviation2162.2603
Coefficient of variation (CV)0.65103452
Kurtosis2.3204475
Mean3321.2683
Median Absolute Deviation (MAD)712
Skewness1.5153978
Sum136172
Variance4675369.7
MonotonicityNot monotonic
2023-12-12T14:27:15.689189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3119 1
 
2.4%
2446 1
 
2.4%
2683 1
 
2.4%
2809 1
 
2.4%
2696 1
 
2.4%
3243 1
 
2.4%
2498 1
 
2.4%
2647 1
 
2.4%
2104 1
 
2.4%
2208 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
996 1
2.4%
1025 1
2.4%
1170 1
2.4%
1198 1
2.4%
1204 1
2.4%
1289 1
2.4%
1294 1
2.4%
1345 1
2.4%
1618 1
2.4%
1806 1
2.4%
ValueCountFrequency (%)
10650 1
2.4%
7824 1
2.4%
7801 1
2.4%
6784 1
2.4%
5742 1
2.4%
5710 1
2.4%
5695 1
2.4%
5680 1
2.4%
5311 1
2.4%
4568 1
2.4%

2018-11
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3322.7073
Minimum1000
Maximum10640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:15.837907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile1166
Q12111
median2684
Q33408
95-th percentile7819
Maximum10640
Range9640
Interquartile range (IQR)1297

Descriptive statistics

Standard deviation2165.096
Coefficient of variation (CV)0.65160599
Kurtosis2.2820116
Mean3322.7073
Median Absolute Deviation (MAD)724
Skewness1.5078304
Sum136231
Variance4687640.7
MonotonicityNot monotonic
2023-12-12T14:27:16.000183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2111 2
 
4.9%
3121 1
 
2.4%
3221 1
 
2.4%
2684 1
 
2.4%
2798 1
 
2.4%
2694 1
 
2.4%
3227 1
 
2.4%
2475 1
 
2.4%
2653 1
 
2.4%
2221 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1000 1
2.4%
1020 1
2.4%
1166 1
2.4%
1197 1
2.4%
1206 1
2.4%
1280 1
2.4%
1290 1
2.4%
1337 1
2.4%
1614 1
2.4%
1802 1
2.4%
ValueCountFrequency (%)
10640 1
2.4%
7828 1
2.4%
7819 1
2.4%
6789 1
2.4%
5749 1
2.4%
5710 1
2.4%
5709 1
2.4%
5687 1
2.4%
5328 1
2.4%
4576 1
2.4%

2018-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3319.878
Minimum1001
Maximum10608
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:16.154907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1001
5-th percentile1164
Q12100
median2685
Q33405
95-th percentile7805
Maximum10608
Range9607
Interquartile range (IQR)1305

Descriptive statistics

Standard deviation2163.2944
Coefficient of variation (CV)0.65161863
Kurtosis2.2420732
Mean3319.878
Median Absolute Deviation (MAD)720
Skewness1.5005176
Sum136115
Variance4679842.6
MonotonicityNot monotonic
2023-12-12T14:27:16.311398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3118 1
 
2.4%
2401 1
 
2.4%
2686 1
 
2.4%
2789 1
 
2.4%
2685 1
 
2.4%
3215 1
 
2.4%
2469 1
 
2.4%
2662 1
 
2.4%
2123 1
 
2.4%
2242 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1001 1
2.4%
1013 1
2.4%
1164 1
2.4%
1196 1
2.4%
1207 1
2.4%
1272 1
2.4%
1284 1
2.4%
1336 1
2.4%
1600 1
2.4%
1799 1
2.4%
ValueCountFrequency (%)
10608 1
2.4%
7837 1
2.4%
7805 1
2.4%
6784 1
2.4%
5760 1
2.4%
5715 1
2.4%
5708 1
2.4%
5683 1
2.4%
5330 1
2.4%
4573 1
2.4%

2019-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3546.561
Minimum1032
Maximum11538
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:16.463692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1032
5-th percentile1194
Q12178
median2778
Q33638
95-th percentile8525
Maximum11538
Range10506
Interquartile range (IQR)1460

Descriptive statistics

Standard deviation2418.4656
Coefficient of variation (CV)0.68191852
Kurtosis2.0648469
Mean3546.561
Median Absolute Deviation (MAD)860
Skewness1.5047613
Sum145409
Variance5848975.9
MonotonicityNot monotonic
2023-12-12T14:27:16.646648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3305 1
 
2.4%
2433 1
 
2.4%
2765 1
 
2.4%
2838 1
 
2.4%
2778 1
 
2.4%
3224 1
 
2.4%
2493 1
 
2.4%
2816 1
 
2.4%
2237 1
 
2.4%
2329 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1032 1
2.4%
1074 1
2.4%
1194 1
2.4%
1233 1
2.4%
1246 1
2.4%
1324 1
2.4%
1333 1
2.4%
1344 1
2.4%
1651 1
2.4%
1867 1
2.4%
ValueCountFrequency (%)
11538 1
2.4%
8829 1
2.4%
8525 1
2.4%
7488 1
2.4%
6394 1
2.4%
6318 1
2.4%
6244 1
2.4%
6050 1
2.4%
6000 1
2.4%
4887 1
2.4%

2019-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3542.6585
Minimum1029
Maximum11507
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:17.152107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1029
5-th percentile1191
Q12179
median2777
Q33652
95-th percentile8511
Maximum11507
Range10478
Interquartile range (IQR)1473

Descriptive statistics

Standard deviation2414.5775
Coefficient of variation (CV)0.68157218
Kurtosis2.0407128
Mean3542.6585
Median Absolute Deviation (MAD)875
Skewness1.4991751
Sum145249
Variance5830184.5
MonotonicityNot monotonic
2023-12-12T14:27:17.344631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3302 1
 
2.4%
2419 1
 
2.4%
2767 1
 
2.4%
2829 1
 
2.4%
2777 1
 
2.4%
3215 1
 
2.4%
2469 1
 
2.4%
2816 1
 
2.4%
2242 1
 
2.4%
2330 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1029 1
2.4%
1074 1
2.4%
1191 1
2.4%
1233 1
2.4%
1243 1
2.4%
1319 1
2.4%
1329 1
2.4%
1342 1
2.4%
1644 1
2.4%
1864 1
2.4%
ValueCountFrequency (%)
11507 1
2.4%
8815 1
2.4%
8511 1
2.4%
7477 1
2.4%
6387 1
2.4%
6316 1
2.4%
6243 1
2.4%
6048 1
2.4%
5992 1
2.4%
4884 1
2.4%

2019-03
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3533.3902
Minimum1025
Maximum11450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:17.500190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1025
5-th percentile1189
Q12179
median2776
Q33641
95-th percentile8476
Maximum11450
Range10425
Interquartile range (IQR)1462

Descriptive statistics

Standard deviation2405.6785
Coefficient of variation (CV)0.68084143
Kurtosis2.0106755
Mean3533.3902
Median Absolute Deviation (MAD)865
Skewness1.4930022
Sum144869
Variance5787288.8
MonotonicityNot monotonic
2023-12-12T14:27:17.673819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3292 2
 
4.9%
2179 1
 
2.4%
2827 1
 
2.4%
2776 1
 
2.4%
3216 1
 
2.4%
2463 1
 
2.4%
2811 1
 
2.4%
2241 1
 
2.4%
2333 1
 
2.4%
2405 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1025 1
2.4%
1076 1
2.4%
1189 1
2.4%
1230 1
2.4%
1237 1
2.4%
1311 1
2.4%
1325 1
2.4%
1338 1
2.4%
1636 1
2.4%
1860 1
2.4%
ValueCountFrequency (%)
11450 1
2.4%
8786 1
2.4%
8476 1
2.4%
7457 1
2.4%
6382 1
2.4%
6316 1
2.4%
6225 1
2.4%
6023 1
2.4%
5989 1
2.4%
4869 1
2.4%

2019-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3518.2195
Minimum1017
Maximum11394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:17.855206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1017
5-th percentile1184
Q12153
median2774
Q33584
95-th percentile8435
Maximum11394
Range10377
Interquartile range (IQR)1431

Descriptive statistics

Standard deviation2395.5526
Coefficient of variation (CV)0.68089912
Kurtosis1.9993548
Mean3518.2195
Median Absolute Deviation (MAD)810
Skewness1.4920891
Sum144247
Variance5738672.1
MonotonicityNot monotonic
2023-12-12T14:27:18.057905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3279 1
 
2.4%
2378 1
 
2.4%
2768 1
 
2.4%
2816 1
 
2.4%
2774 1
 
2.4%
3198 1
 
2.4%
2443 1
 
2.4%
2805 1
 
2.4%
2241 1
 
2.4%
2341 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1017 1
2.4%
1077 1
2.4%
1184 1
2.4%
1226 1
2.4%
1234 1
2.4%
1304 1
2.4%
1319 1
2.4%
1334 1
2.4%
1627 1
2.4%
1852 1
2.4%
ValueCountFrequency (%)
11394 1
2.4%
8748 1
2.4%
8435 1
2.4%
7432 1
2.4%
6373 1
2.4%
6320 1
2.4%
6194 1
2.4%
5982 1
2.4%
5969 1
2.4%
4850 1
2.4%

2019-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3509.5122
Minimum1013
Maximum11333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:18.240126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1013
5-th percentile1178
Q12152
median2770
Q33596
95-th percentile8395
Maximum11333
Range10320
Interquartile range (IQR)1444

Descriptive statistics

Standard deviation2386.0344
Coefficient of variation (CV)0.67987637
Kurtosis1.97566
Mean3509.5122
Median Absolute Deviation (MAD)826
Skewness1.4865547
Sum143890
Variance5693160.2
MonotonicityNot monotonic
2023-12-12T14:27:18.379581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3270 1
 
2.4%
2372 1
 
2.4%
2755 1
 
2.4%
2813 1
 
2.4%
2770 1
 
2.4%
3197 1
 
2.4%
2439 1
 
2.4%
2818 1
 
2.4%
2240 1
 
2.4%
2347 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1013 1
2.4%
1079 1
2.4%
1178 1
2.4%
1219 1
2.4%
1229 1
2.4%
1297 1
2.4%
1314 1
2.4%
1328 1
2.4%
1619 1
2.4%
1850 1
2.4%
ValueCountFrequency (%)
11333 1
2.4%
8749 1
2.4%
8395 1
2.4%
7406 1
2.4%
6361 1
2.4%
6317 1
2.4%
6171 1
2.4%
5963 1
2.4%
5926 1
2.4%
4832 1
2.4%

2019-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3504
Minimum1008
Maximum11332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:18.547501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1008
5-th percentile1169
Q12143
median2763
Q33598
95-th percentile8391
Maximum11332
Range10324
Interquartile range (IQR)1455

Descriptive statistics

Standard deviation2387.1048
Coefficient of variation (CV)0.68125138
Kurtosis1.9758882
Mean3504
Median Absolute Deviation (MAD)835
Skewness1.486604
Sum143664
Variance5698269.5
MonotonicityNot monotonic
2023-12-12T14:27:18.729988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3265 1
 
2.4%
2361 1
 
2.4%
2752 1
 
2.4%
2800 1
 
2.4%
2763 1
 
2.4%
3175 1
 
2.4%
2431 1
 
2.4%
2819 1
 
2.4%
2238 1
 
2.4%
2354 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1008 1
2.4%
1076 1
2.4%
1169 1
2.4%
1217 1
2.4%
1224 1
2.4%
1284 1
2.4%
1307 1
2.4%
1320 1
2.4%
1609 1
2.4%
1844 1
2.4%
ValueCountFrequency (%)
11332 1
2.4%
8743 1
2.4%
8391 1
2.4%
7402 1
2.4%
6358 1
2.4%
6317 1
2.4%
6164 1
2.4%
5959 1
2.4%
5923 1
2.4%
4828 1
2.4%

2019-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3501.7561
Minimum1005
Maximum11338
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:18.880128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1166
Q12140
median2758
Q33609
95-th percentile8394
Maximum11338
Range10333
Interquartile range (IQR)1469

Descriptive statistics

Standard deviation2390.2106
Coefficient of variation (CV)0.68257485
Kurtosis1.9802093
Mean3501.7561
Median Absolute Deviation (MAD)851
Skewness1.4881195
Sum143572
Variance5713106.9
MonotonicityNot monotonic
2023-12-12T14:27:19.018628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3261 1
 
2.4%
2356 1
 
2.4%
2747 1
 
2.4%
2794 1
 
2.4%
2758 1
 
2.4%
3167 1
 
2.4%
2425 1
 
2.4%
2818 1
 
2.4%
2231 1
 
2.4%
2370 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1005 1
2.4%
1076 1
2.4%
1166 1
2.4%
1215 1
2.4%
1219 1
2.4%
1274 1
2.4%
1301 1
2.4%
1313 1
2.4%
1598 1
2.4%
1840 1
2.4%
ValueCountFrequency (%)
11338 1
2.4%
8766 1
2.4%
8394 1
2.4%
7404 1
2.4%
6360 1
2.4%
6329 1
2.4%
6165 1
2.4%
5954 1
2.4%
5894 1
2.4%
4826 1
2.4%

2019-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3501.561
Minimum1003
Maximum11359
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:19.162133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile1160
Q12135
median2751
Q33608
95-th percentile8400
Maximum11359
Range10356
Interquartile range (IQR)1473

Descriptive statistics

Standard deviation2397.2755
Coefficient of variation (CV)0.68463052
Kurtosis1.9827435
Mean3501.561
Median Absolute Deviation (MAD)857
Skewness1.4895717
Sum143564
Variance5746929.9
MonotonicityNot monotonic
2023-12-12T14:27:19.338543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3260 1
 
2.4%
2350 1
 
2.4%
2739 1
 
2.4%
2786 1
 
2.4%
2751 1
 
2.4%
3159 1
 
2.4%
2415 1
 
2.4%
2820 1
 
2.4%
2232 1
 
2.4%
2381 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1003 1
2.4%
1075 1
2.4%
1160 1
2.4%
1209 1
2.4%
1212 1
2.4%
1270 1
2.4%
1295 1
2.4%
1300 1
2.4%
1591 1
2.4%
1836 1
2.4%
ValueCountFrequency (%)
11359 1
2.4%
8803 1
2.4%
8400 1
2.4%
7412 1
2.4%
6370 1
2.4%
6331 1
2.4%
6160 1
2.4%
5962 1
2.4%
5912 1
2.4%
4829 1
2.4%

2019-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3506.439
Minimum1002
Maximum11394
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:19.506991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1002
5-th percentile1150
Q12139
median2743
Q33614
95-th percentile8422
Maximum11394
Range10392
Interquartile range (IQR)1475

Descriptive statistics

Standard deviation2406.0608
Coefficient of variation (CV)0.68618355
Kurtosis1.9865608
Mean3506.439
Median Absolute Deviation (MAD)871
Skewness1.4904977
Sum143764
Variance5789128.5
MonotonicityNot monotonic
2023-12-12T14:27:19.679231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3265 1
 
2.4%
2349 1
 
2.4%
2740 1
 
2.4%
2780 1
 
2.4%
2743 1
 
2.4%
3154 1
 
2.4%
2412 1
 
2.4%
2823 1
 
2.4%
2229 1
 
2.4%
2410 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1002 1
2.4%
1077 1
2.4%
1150 1
2.4%
1207 1
2.4%
1211 1
2.4%
1265 1
2.4%
1292 1
2.4%
1294 1
2.4%
1587 1
2.4%
1835 1
2.4%
ValueCountFrequency (%)
11394 1
2.4%
8834 1
2.4%
8422 1
2.4%
7429 1
2.4%
6381 1
2.4%
6332 1
2.4%
6173 1
2.4%
5974 1
2.4%
5941 1
2.4%
4840 1
2.4%

2019-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3515.439
Minimum998
Maximum11467
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:19.833318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum998
5-th percentile1148
Q12147
median2741
Q33601
95-th percentile8470
Maximum11467
Range10469
Interquartile range (IQR)1454

Descriptive statistics

Standard deviation2422.0851
Coefficient of variation (CV)0.6889851
Kurtosis2.0019988
Mean3515.439
Median Absolute Deviation (MAD)860
Skewness1.4949734
Sum144133
Variance5866496.2
MonotonicityNot monotonic
2023-12-12T14:27:19.974918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3274 1
 
2.4%
2347 1
 
2.4%
2741 1
 
2.4%
2775 1
 
2.4%
2740 1
 
2.4%
3141 1
 
2.4%
2410 1
 
2.4%
2825 1
 
2.4%
2226 1
 
2.4%
2446 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
998 1
2.4%
1078 1
2.4%
1148 1
2.4%
1208 1
2.4%
1214 1
2.4%
1258 1
2.4%
1288 1
2.4%
1289 1
2.4%
1582 1
2.4%
1834 1
2.4%
ValueCountFrequency (%)
11467 1
2.4%
8870 1
2.4%
8470 1
2.4%
7463 1
2.4%
6399 1
2.4%
6345 1
2.4%
6201 1
2.4%
6005 1
2.4%
5991 1
2.4%
4859 1
2.4%

2019-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3524.3902
Minimum993
Maximum11516
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:20.143450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum993
5-th percentile1147
Q12136
median2746
Q33610
95-th percentile8507
Maximum11516
Range10523
Interquartile range (IQR)1474

Descriptive statistics

Standard deviation2436.7657
Coefficient of variation (CV)0.69140066
Kurtosis1.9863904
Mean3524.3902
Median Absolute Deviation (MAD)864
Skewness1.4920377
Sum144500
Variance5937827.2
MonotonicityNot monotonic
2023-12-12T14:27:20.300896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3283 1
 
2.4%
2352 1
 
2.4%
2746 1
 
2.4%
2773 1
 
2.4%
2742 1
 
2.4%
3135 1
 
2.4%
2406 1
 
2.4%
2825 1
 
2.4%
2230 1
 
2.4%
2462 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
993 1
2.4%
1078 1
2.4%
1147 1
2.4%
1202 1
2.4%
1210 1
2.4%
1254 1
2.4%
1281 1
2.4%
1283 1
2.4%
1574 1
2.4%
1832 1
2.4%
ValueCountFrequency (%)
11516 1
2.4%
8906 1
2.4%
8507 1
2.4%
7496 1
2.4%
6429 1
2.4%
6376 1
2.4%
6230 1
2.4%
6041 1
2.4%
6019 1
2.4%
4879 1
2.4%

2019-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3545.8049
Minimum989
Maximum11717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:20.455688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum989
5-th percentile1145
Q12136
median2751
Q33610
95-th percentile8625
Maximum11717
Range10728
Interquartile range (IQR)1474

Descriptive statistics

Standard deviation2469.6132
Coefficient of variation (CV)0.69648875
Kurtosis2.080659
Mean3545.8049
Median Absolute Deviation (MAD)859
Skewness1.509979
Sum145378
Variance6098989.4
MonotonicityNot monotonic
2023-12-12T14:27:20.625471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3301 1
 
2.4%
2381 1
 
2.4%
2748 1
 
2.4%
2782 1
 
2.4%
2751 1
 
2.4%
3154 1
 
2.4%
2405 1
 
2.4%
2837 1
 
2.4%
2227 1
 
2.4%
2485 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
989 1
2.4%
1078 1
2.4%
1145 1
2.4%
1200 1
2.4%
1214 1
2.4%
1253 1
2.4%
1277 1
2.4%
1280 1
2.4%
1565 1
2.4%
1835 1
2.4%
ValueCountFrequency (%)
11717 1
2.4%
8941 1
2.4%
8625 1
2.4%
7570 1
2.4%
6457 1
2.4%
6414 1
2.4%
6285 1
2.4%
6094 1
2.4%
6042 1
2.4%
4915 1
2.4%

2020-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3771.6341
Minimum1008
Maximum12864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:20.812540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1008
5-th percentile1174
Q12199
median2892
Q34176
95-th percentile9296
Maximum12864
Range11856
Interquartile range (IQR)1977

Descriptive statistics

Standard deviation2696.4155
Coefficient of variation (CV)0.71491969
Kurtosis2.2302825
Mean3771.6341
Median Absolute Deviation (MAD)1049
Skewness1.532872
Sum154637
Variance7270656.6
MonotonicityNot monotonic
2023-12-12T14:27:20.974019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3491 1
 
2.4%
2429 1
 
2.4%
2942 1
 
2.4%
2892 1
 
2.4%
2869 1
 
2.4%
3231 1
 
2.4%
2536 1
 
2.4%
2910 1
 
2.4%
2248 1
 
2.4%
2685 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1008 1
2.4%
1094 1
2.4%
1174 1
2.4%
1261 1
2.4%
1287 1
2.4%
1292 1
2.4%
1299 1
2.4%
1311 1
2.4%
1597 1
2.4%
1896 1
2.4%
ValueCountFrequency (%)
12864 1
2.4%
9383 1
2.4%
9296 1
2.4%
8181 1
2.4%
7003 1
2.4%
6915 1
2.4%
6755 1
2.4%
6583 1
2.4%
6462 1
2.4%
5234 1
2.4%

2020-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3784.3902
Minimum1005
Maximum12863
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:21.154856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1005
5-th percentile1174
Q12191
median2898
Q34319
95-th percentile9308
Maximum12863
Range11858
Interquartile range (IQR)2128

Descriptive statistics

Standard deviation2699.2563
Coefficient of variation (CV)0.71326056
Kurtosis2.1865857
Mean3784.3902
Median Absolute Deviation (MAD)1065
Skewness1.5190872
Sum155160
Variance7285984.7
MonotonicityNot monotonic
2023-12-12T14:27:21.348064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3501 1
 
2.4%
2447 1
 
2.4%
2948 1
 
2.4%
2898 1
 
2.4%
2876 1
 
2.4%
3239 1
 
2.4%
2540 1
 
2.4%
2924 1
 
2.4%
2255 1
 
2.4%
2722 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1005 1
2.4%
1093 1
2.4%
1174 1
2.4%
1263 1
2.4%
1286 1
2.4%
1287 1
2.4%
1298 1
2.4%
1311 1
2.4%
1598 1
2.4%
1903 1
2.4%
ValueCountFrequency (%)
12863 1
2.4%
9388 1
2.4%
9308 1
2.4%
8193 1
2.4%
7013 1
2.4%
6933 1
2.4%
6765 1
2.4%
6596 1
2.4%
6484 1
2.4%
5249 1
2.4%

2020-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3804.5366
Minimum1004
Maximum12864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:21.518394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1176
Q12182
median2900
Q34464
95-th percentile9318
Maximum12864
Range11860
Interquartile range (IQR)2282

Descriptive statistics

Standard deviation2702.7214
Coefficient of variation (CV)0.71039438
Kurtosis2.1239295
Mean3804.5366
Median Absolute Deviation (MAD)1096
Skewness1.4981035
Sum155986
Variance7304703.1
MonotonicityNot monotonic
2023-12-12T14:27:21.678955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3523 1
 
2.4%
2460 1
 
2.4%
2991 1
 
2.4%
2900 1
 
2.4%
2880 1
 
2.4%
3240 1
 
2.4%
2539 1
 
2.4%
2924 1
 
2.4%
2259 1
 
2.4%
2768 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1004 1
2.4%
1093 1
2.4%
1176 1
2.4%
1262 1
2.4%
1284 1
2.4%
1289 1
2.4%
1299 1
2.4%
1311 1
2.4%
1601 1
2.4%
1908 1
2.4%
ValueCountFrequency (%)
12864 1
2.4%
9395 1
2.4%
9318 1
2.4%
8198 1
2.4%
7014 1
2.4%
6937 1
2.4%
6777 1
2.4%
6694 1
2.4%
6489 1
2.4%
5289 1
2.4%

2020-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3814.439
Minimum1003
Maximum12808
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:21.807181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1003
5-th percentile1177
Q12175
median2899
Q34526
95-th percentile9334
Maximum12808
Range11805
Interquartile range (IQR)2351

Descriptive statistics

Standard deviation2699.2875
Coefficient of variation (CV)0.70764993
Kurtosis2.039809
Mean3814.439
Median Absolute Deviation (MAD)1126
Skewness1.4765083
Sum156392
Variance7286153.1
MonotonicityNot monotonic
2023-12-12T14:27:21.945392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3536 1
 
2.4%
2469 1
 
2.4%
3033 1
 
2.4%
2899 1
 
2.4%
2879 1
 
2.4%
3242 1
 
2.4%
2534 1
 
2.4%
2918 1
 
2.4%
2260 1
 
2.4%
2808 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1003 1
2.4%
1091 1
2.4%
1177 1
2.4%
1258 1
2.4%
1281 1
2.4%
1290 1
2.4%
1305 1
2.4%
1310 1
2.4%
1599 1
2.4%
1910 1
2.4%
ValueCountFrequency (%)
12808 1
2.4%
9379 1
2.4%
9334 1
2.4%
8194 1
2.4%
7018 1
2.4%
6945 1
2.4%
6789 1
2.4%
6727 1
2.4%
6497 1
2.4%
5313 1
2.4%

2020-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3818.439
Minimum1004
Maximum12752
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:22.398191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile1177
Q12169
median2900
Q34559
95-th percentile9341
Maximum12752
Range11748
Interquartile range (IQR)2390

Descriptive statistics

Standard deviation2693.6223
Coefficient of variation (CV)0.70542499
Kurtosis1.9793581
Mean3818.439
Median Absolute Deviation (MAD)1142
Skewness1.4617403
Sum156556
Variance7255601.3
MonotonicityNot monotonic
2023-12-12T14:27:22.563706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3542 1
 
2.4%
2473 1
 
2.4%
3064 1
 
2.4%
2900 1
 
2.4%
2881 1
 
2.4%
3242 1
 
2.4%
2533 1
 
2.4%
2919 1
 
2.4%
2259 1
 
2.4%
2825 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1004 1
2.4%
1091 1
2.4%
1177 1
2.4%
1258 1
2.4%
1280 1
2.4%
1295 1
2.4%
1304 1
2.4%
1310 1
2.4%
1598 1
2.4%
1912 1
2.4%
ValueCountFrequency (%)
12752 1
2.4%
9358 1
2.4%
9341 1
2.4%
8183 1
2.4%
7015 1
2.4%
6945 1
2.4%
6796 1
2.4%
6747 1
2.4%
6496 1
2.4%
5323 1
2.4%

2020-06
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3836.1951
Minimum1007
Maximum12751
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:22.683563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1007
5-th percentile1177
Q12163
median2900
Q34733
95-th percentile9363
Maximum12751
Range11744
Interquartile range (IQR)2570

Descriptive statistics

Standard deviation2695.5859
Coefficient of variation (CV)0.70267175
Kurtosis1.9341739
Mean3836.1951
Median Absolute Deviation (MAD)1195
Skewness1.446499
Sum157284
Variance7266183.5
MonotonicityNot monotonic
2023-12-12T14:27:22.803745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3559 2
 
4.9%
2255 1
 
2.4%
2900 1
 
2.4%
2884 1
 
2.4%
3242 1
 
2.4%
2527 1
 
2.4%
2925 1
 
2.4%
2261 1
 
2.4%
2879 1
 
2.4%
2485 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1007 1
2.4%
1095 1
2.4%
1177 1
2.4%
1262 1
2.4%
1273 1
2.4%
1304 1
2.4%
1316 1
2.4%
1333 1
2.4%
1600 1
2.4%
1922 1
2.4%
ValueCountFrequency (%)
12751 1
2.4%
9368 1
2.4%
9363 1
2.4%
8189 1
2.4%
7015 1
2.4%
6946 1
2.4%
6814 1
2.4%
6779 1
2.4%
6495 1
2.4%
5348 1
2.4%

2020-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3871.5366
Minimum1006
Maximum12840
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:22.925302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1006
5-th percentile1180
Q12161
median2933
Q35041
95-th percentile9417
Maximum12840
Range11834
Interquartile range (IQR)2880

Descriptive statistics

Standard deviation2718.5609
Coefficient of variation (CV)0.70219172
Kurtosis1.8807604
Mean3871.5366
Median Absolute Deviation (MAD)1222
Skewness1.4290859
Sum158733
Variance7390573.5
MonotonicityNot monotonic
2023-12-12T14:27:23.059139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3588 1
 
2.4%
2501 1
 
2.4%
3112 1
 
2.4%
2925 1
 
2.4%
2933 1
 
2.4%
3256 1
 
2.4%
2526 1
 
2.4%
2937 1
 
2.4%
2262 1
 
2.4%
2910 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1006 1
2.4%
1098 1
2.4%
1180 1
2.4%
1272 1
2.4%
1281 1
2.4%
1310 1
2.4%
1322 1
2.4%
1337 1
2.4%
1609 1
2.4%
1937 1
2.4%
ValueCountFrequency (%)
12840 1
2.4%
9427 1
2.4%
9417 1
2.4%
8246 1
2.4%
7088 1
2.4%
7001 1
2.4%
6850 1
2.4%
6840 1
2.4%
6542 1
2.4%
5394 1
2.4%

2020-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3903.5854
Minimum1007
Maximum12846
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:23.190500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1007
5-th percentile1182
Q12161
median2956
Q35421
95-th percentile9435
Maximum12846
Range11839
Interquartile range (IQR)3260

Descriptive statistics

Standard deviation2732.4249
Coefficient of variation (CV)0.69997827
Kurtosis1.750328
Mean3903.5854
Median Absolute Deviation (MAD)1263
Skewness1.3934737
Sum160047
Variance7466145.9
MonotonicityNot monotonic
2023-12-12T14:27:23.338933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3610 1
 
2.4%
2511 1
 
2.4%
3118 1
 
2.4%
2946 1
 
2.4%
2965 1
 
2.4%
3260 1
 
2.4%
2550 1
 
2.4%
2956 1
 
2.4%
2265 1
 
2.4%
2941 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1007 1
2.4%
1099 1
2.4%
1182 1
2.4%
1272 1
2.4%
1298 1
2.4%
1304 1
2.4%
1325 1
2.4%
1334 1
2.4%
1610 1
2.4%
1953 1
2.4%
ValueCountFrequency (%)
12846 1
2.4%
9467 1
2.4%
9435 1
2.4%
8269 1
2.4%
7112 1
2.4%
7040 1
2.4%
6895 1
2.4%
6860 1
2.4%
6586 1
2.4%
5595 1
2.4%

2020-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3927.878
Minimum1013
Maximum12847
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:23.486547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1013
5-th percentile1182
Q12160
median2978
Q35445
95-th percentile9447
Maximum12847
Range11834
Interquartile range (IQR)3285

Descriptive statistics

Standard deviation2741.2173
Coefficient of variation (CV)0.69788758
Kurtosis1.6565358
Mean3927.878
Median Absolute Deviation (MAD)1303
Skewness1.3675057
Sum161043
Variance7514272.3
MonotonicityNot monotonic
2023-12-12T14:27:23.633417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3628 1
 
2.4%
2520 1
 
2.4%
3125 1
 
2.4%
2963 1
 
2.4%
2971 1
 
2.4%
3298 1
 
2.4%
2562 1
 
2.4%
2978 1
 
2.4%
2271 1
 
2.4%
2994 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1013 1
2.4%
1099 1
2.4%
1182 1
2.4%
1272 1
2.4%
1300 1
2.4%
1310 1
2.4%
1327 1
2.4%
1337 1
2.4%
1610 1
2.4%
1966 1
2.4%
ValueCountFrequency (%)
12847 1
2.4%
9484 1
2.4%
9447 1
2.4%
8283 1
2.4%
7124 1
2.4%
7057 1
2.4%
6948 1
2.4%
6881 1
2.4%
6604 1
2.4%
5933 1
2.4%

2020-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3940.3415
Minimum1015
Maximum12851
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:23.797776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1015
5-th percentile1184
Q12160
median2990
Q35459
95-th percentile9453
Maximum12851
Range11836
Interquartile range (IQR)3299

Descriptive statistics

Standard deviation2744.7705
Coefficient of variation (CV)0.69658189
Kurtosis1.6221589
Mean3940.3415
Median Absolute Deviation (MAD)1309
Skewness1.3575249
Sum161554
Variance7533765.2
MonotonicityNot monotonic
2023-12-12T14:27:23.952543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3639 1
 
2.4%
2540 1
 
2.4%
3128 1
 
2.4%
2976 1
 
2.4%
2975 1
 
2.4%
3324 1
 
2.4%
2572 1
 
2.4%
2990 1
 
2.4%
2275 1
 
2.4%
3024 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1015 1
2.4%
1099 1
2.4%
1184 1
2.4%
1272 1
2.4%
1306 1
2.4%
1312 1
2.4%
1329 1
2.4%
1333 1
2.4%
1614 1
2.4%
1974 1
2.4%
ValueCountFrequency (%)
12851 1
2.4%
9494 1
2.4%
9453 1
2.4%
8292 1
2.4%
7132 1
2.4%
7067 1
2.4%
6999 1
2.4%
6889 1
2.4%
6615 1
2.4%
6019 1
2.4%

2020-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3960.7805
Minimum1016
Maximum12864
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:24.069344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1016
5-th percentile1181
Q12161
median3021
Q35484
95-th percentile9461
Maximum12864
Range11848
Interquartile range (IQR)3323

Descriptive statistics

Standard deviation2744.6597
Coefficient of variation (CV)0.6929593
Kurtosis1.6063183
Mean3960.7805
Median Absolute Deviation (MAD)1309
Skewness1.3457862
Sum162392
Variance7533156.8
MonotonicityNot monotonic
2023-12-12T14:27:24.204549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3659 1
 
2.4%
2583 1
 
2.4%
3146 1
 
2.4%
3021 1
 
2.4%
3010 1
 
2.4%
3411 1
 
2.4%
2588 1
 
2.4%
3020 1
 
2.4%
2280 1
 
2.4%
3057 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1016 1
2.4%
1100 1
2.4%
1181 1
2.4%
1270 1
2.4%
1311 1
2.4%
1315 1
2.4%
1332 1
2.4%
1337 1
2.4%
1621 1
2.4%
1989 1
2.4%
ValueCountFrequency (%)
12864 1
2.4%
9501 1
2.4%
9461 1
2.4%
8300 1
2.4%
7138 1
2.4%
7077 1
2.4%
7043 1
2.4%
6891 1
2.4%
6628 1
2.4%
6022 1
2.4%

2020-12
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3997.439
Minimum1023
Maximum12903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:24.329100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1023
5-th percentile1183
Q12174
median3110
Q35519
95-th percentile9486
Maximum12903
Range11880
Interquartile range (IQR)3345

Descriptive statistics

Standard deviation2745.9571
Coefficient of variation (CV)0.68692907
Kurtosis1.5957824
Mean3997.439
Median Absolute Deviation (MAD)1258
Skewness1.3322758
Sum163895
Variance7540280.2
MonotonicityNot monotonic
2023-12-12T14:27:24.435796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1322 2
 
4.9%
3693 1
 
2.4%
3120 1
 
2.4%
3168 1
 
2.4%
3110 1
 
2.4%
3091 1
 
2.4%
3543 1
 
2.4%
2641 1
 
2.4%
3076 1
 
2.4%
2311 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1023 1
2.4%
1103 1
2.4%
1183 1
2.4%
1271 1
2.4%
1322 2
4.9%
1347 1
2.4%
1348 1
2.4%
1663 1
2.4%
2024 1
2.4%
2174 1
2.4%
ValueCountFrequency (%)
12903 1
2.4%
9518 1
2.4%
9486 1
2.4%
8323 1
2.4%
7153 1
2.4%
7121 1
2.4%
7096 1
2.4%
6907 1
2.4%
6648 1
2.4%
6049 1
2.4%

2021-01
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4033.0488
Minimum1036
Maximum12982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:24.542105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1036
5-th percentile1184
Q12174
median3156
Q35570
95-th percentile9531
Maximum12982
Range11946
Interquartile range (IQR)3396

Descriptive statistics

Standard deviation2756.5793
Coefficient of variation (CV)0.68349764
Kurtosis1.5925756
Mean4033.0488
Median Absolute Deviation (MAD)1263
Skewness1.3216533
Sum165355
Variance7598729.6
MonotonicityNot monotonic
2023-12-12T14:27:24.660313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
2671 2
 
4.9%
3730 1
 
2.4%
3934 1
 
2.4%
3211 1
 
2.4%
3156 1
 
2.4%
3136 1
 
2.4%
3601 1
 
2.4%
3126 1
 
2.4%
2317 1
 
2.4%
3164 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1036 1
2.4%
1103 1
2.4%
1184 1
2.4%
1273 1
2.4%
1330 1
2.4%
1336 1
2.4%
1350 1
2.4%
1357 1
2.4%
1686 1
2.4%
2046 1
2.4%
ValueCountFrequency (%)
12982 1
2.4%
9533 1
2.4%
9531 1
2.4%
8356 1
2.4%
7223 1
2.4%
7180 1
2.4%
7118 1
2.4%
6925 1
2.4%
6670 1
2.4%
6090 1
2.4%

2021-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4075.3171
Minimum1043
Maximum13046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:24.780996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1043
5-th percentile1184
Q12174
median3213
Q35632
95-th percentile9575
Maximum13046
Range12003
Interquartile range (IQR)3458

Descriptive statistics

Standard deviation2771.2487
Coefficient of variation (CV)0.68000811
Kurtosis1.546676
Mean4075.3171
Median Absolute Deviation (MAD)1318
Skewness1.3014043
Sum167088
Variance7679819.2
MonotonicityNot monotonic
2023-12-12T14:27:24.915459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3770 1
 
2.4%
2692 1
 
2.4%
3259 1
 
2.4%
3213 1
 
2.4%
3169 1
 
2.4%
3715 1
 
2.4%
2700 1
 
2.4%
3173 1
 
2.4%
2331 1
 
2.4%
3220 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1043 1
2.4%
1105 1
2.4%
1184 1
2.4%
1273 1
2.4%
1337 1
2.4%
1350 1
2.4%
1351 1
2.4%
1363 1
2.4%
1692 1
2.4%
2067 1
2.4%
ValueCountFrequency (%)
13046 1
2.4%
9585 1
2.4%
9575 1
2.4%
8403 1
2.4%
7332 1
2.4%
7239 1
2.4%
7156 1
2.4%
6973 1
2.4%
6698 1
2.4%
6132 1
2.4%

2021-03
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4106.5854
Minimum1052
Maximum13080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:25.037729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1052
5-th percentile1185
Q12178
median3241
Q35685
95-th percentile9591
Maximum13080
Range12028
Interquartile range (IQR)3507

Descriptive statistics

Standard deviation2778.2115
Coefficient of variation (CV)0.67652594
Kurtosis1.5107888
Mean4106.5854
Median Absolute Deviation (MAD)1361
Skewness1.2860881
Sum168370
Variance7718459.2
MonotonicityNot monotonic
2023-12-12T14:27:25.316804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1372 2
 
4.9%
3805 1
 
2.4%
2706 1
 
2.4%
3341 1
 
2.4%
3241 1
 
2.4%
3194 1
 
2.4%
3765 1
 
2.4%
2712 1
 
2.4%
3219 1
 
2.4%
2344 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1052 1
2.4%
1105 1
2.4%
1185 1
2.4%
1274 1
2.4%
1343 1
2.4%
1365 1
2.4%
1372 2
4.9%
1702 1
2.4%
2084 1
2.4%
2178 1
2.4%
ValueCountFrequency (%)
13080 1
2.4%
9613 1
2.4%
9591 1
2.4%
8432 1
2.4%
7437 1
2.4%
7272 1
2.4%
7187 1
2.4%
6995 1
2.4%
6732 1
2.4%
6133 1
2.4%

2021-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4134
Minimum1062
Maximum13108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:25.535762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1062
5-th percentile1191
Q12185
median3279
Q35729
95-th percentile9605
Maximum13108
Range12046
Interquartile range (IQR)3544

Descriptive statistics

Standard deviation2783.8855
Coefficient of variation (CV)0.67341208
Kurtosis1.4803614
Mean4134
Median Absolute Deviation (MAD)1378
Skewness1.2728185
Sum169494
Variance7750018.7
MonotonicityNot monotonic
2023-12-12T14:27:25.674792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3834 1
 
2.4%
2720 1
 
2.4%
3402 1
 
2.4%
3279 1
 
2.4%
3220 1
 
2.4%
3842 1
 
2.4%
2722 1
 
2.4%
3255 1
 
2.4%
2361 1
 
2.4%
3295 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1062 1
2.4%
1108 1
2.4%
1191 1
2.4%
1279 1
2.4%
1350 1
2.4%
1375 1
2.4%
1380 1
2.4%
1383 1
2.4%
1708 1
2.4%
2101 1
2.4%
ValueCountFrequency (%)
13108 1
2.4%
9641 1
2.4%
9605 1
2.4%
8458 1
2.4%
7527 1
2.4%
7281 1
2.4%
7210 1
2.4%
7025 1
2.4%
6762 1
2.4%
6134 1
2.4%

2021-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4164.4634
Minimum1070
Maximum13149
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:25.797320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1070
5-th percentile1198
Q12221
median3308
Q35779
95-th percentile9619
Maximum13149
Range12079
Interquartile range (IQR)3558

Descriptive statistics

Standard deviation2789.9663
Coefficient of variation (CV)0.66994616
Kurtosis1.4608351
Mean4164.4634
Median Absolute Deviation (MAD)1393
Skewness1.2612256
Sum170743
Variance7783911.7
MonotonicityNot monotonic
2023-12-12T14:27:25.927016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3868 1
 
2.4%
2741 1
 
2.4%
3484 1
 
2.4%
3308 1
 
2.4%
3246 1
 
2.4%
3878 1
 
2.4%
2746 1
 
2.4%
3294 1
 
2.4%
2375 1
 
2.4%
3372 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1070 1
2.4%
1108 1
2.4%
1198 1
2.4%
1287 1
2.4%
1362 1
2.4%
1388 1
2.4%
1389 1
2.4%
1395 1
2.4%
1709 1
2.4%
2119 1
2.4%
ValueCountFrequency (%)
13149 1
2.4%
9669 1
2.4%
9619 1
2.4%
8483 1
2.4%
7642 1
2.4%
7298 1
2.4%
7233 1
2.4%
7042 1
2.4%
6789 1
2.4%
6135 1
2.4%

2021-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4214.2683
Minimum1077
Maximum13283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:26.063391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1077
5-th percentile1204
Q12264
median3386
Q35857
95-th percentile9688
Maximum13283
Range12206
Interquartile range (IQR)3593

Descriptive statistics

Standard deviation2810.3881
Coefficient of variation (CV)0.66687451
Kurtosis1.4786398
Mean4214.2683
Median Absolute Deviation (MAD)1352
Skewness1.2563672
Sum172785
Variance7898281.4
MonotonicityNot monotonic
2023-12-12T14:27:26.201587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3919 1
 
2.4%
2753 1
 
2.4%
3592 1
 
2.4%
3386 1
 
2.4%
3300 1
 
2.4%
4005 1
 
2.4%
2809 1
 
2.4%
3330 1
 
2.4%
2392 1
 
2.4%
3423 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1077 1
2.4%
1114 1
2.4%
1204 1
2.4%
1307 1
2.4%
1386 1
2.4%
1401 1
2.4%
1409 1
2.4%
1412 1
2.4%
1714 1
2.4%
2145 1
2.4%
ValueCountFrequency (%)
13283 1
2.4%
9740 1
2.4%
9688 1
2.4%
8542 1
2.4%
7832 1
2.4%
7322 1
2.4%
7280 1
2.4%
7065 1
2.4%
6841 1
2.4%
6102 1
2.4%

2021-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4707.1951
Minimum1024
Maximum14700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:26.395954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1024
5-th percentile1224
Q12213
median3512
Q36235
95-th percentile10633
Maximum14700
Range13676
Interquartile range (IQR)4022

Descriptive statistics

Standard deviation3315.0455
Coefficient of variation (CV)0.70425071
Kurtosis0.5993844
Mean4707.1951
Median Absolute Deviation (MAD)1958
Skewness1.0772871
Sum192995
Variance10989527
MonotonicityNot monotonic
2023-12-12T14:27:26.557153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3445 1
 
2.4%
3002 1
 
2.4%
3768 1
 
2.4%
3512 1
 
2.4%
3559 1
 
2.4%
4263 1
 
2.4%
2868 1
 
2.4%
3568 1
 
2.4%
2508 1
 
2.4%
3395 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1024 1
2.4%
1115 1
2.4%
1224 1
2.4%
1327 1
2.4%
1337 1
2.4%
1392 1
2.4%
1476 1
2.4%
1554 1
2.4%
1771 1
2.4%
2049 1
2.4%
ValueCountFrequency (%)
14700 1
2.4%
10776 1
2.4%
10633 1
2.4%
9628 1
2.4%
8882 1
2.4%
8875 1
2.4%
8704 1
2.4%
8648 1
2.4%
8641 1
2.4%
8004 1
2.4%

2021-08
Real number (ℝ)

Distinct40
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4755.3902
Minimum1026
Maximum14775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:26.706193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1026
5-th percentile1228
Q12246
median3542
Q36302
95-th percentile10696
Maximum14775
Range13749
Interquartile range (IQR)4056

Descriptive statistics

Standard deviation3336.5527
Coefficient of variation (CV)0.70163594
Kurtosis0.55242644
Mean4755.3902
Median Absolute Deviation (MAD)1965
Skewness1.0586485
Sum194971
Variance11132584
MonotonicityNot monotonic
2023-12-12T14:27:26.860144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
3012 2
 
4.9%
5308 1
 
2.4%
3842 1
 
2.4%
3542 1
 
2.4%
3593 1
 
2.4%
4398 1
 
2.4%
2899 1
 
2.4%
3583 1
 
2.4%
2511 1
 
2.4%
3426 1
 
2.4%
Other values (30) 30
73.2%
ValueCountFrequency (%)
1026 1
2.4%
1119 1
2.4%
1228 1
2.4%
1340 1
2.4%
1341 1
2.4%
1407 1
2.4%
1485 1
2.4%
1577 1
2.4%
1780 1
2.4%
2063 1
2.4%
ValueCountFrequency (%)
14775 1
2.4%
10792 1
2.4%
10696 1
2.4%
9696 1
2.4%
8951 1
2.4%
8937 1
2.4%
8916 1
2.4%
8711 1
2.4%
8676 1
2.4%
8038 1
2.4%

2021-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4808.1463
Minimum1032
Maximum15020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:27.404584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1032
5-th percentile1240
Q12282
median3563
Q36382
95-th percentile10744
Maximum15020
Range13988
Interquartile range (IQR)4100

Descriptive statistics

Standard deviation3372.3808
Coefficient of variation (CV)0.70138897
Kurtosis0.60835515
Mean4808.1463
Median Absolute Deviation (MAD)1970
Skewness1.0660825
Sum197134
Variance11372952
MonotonicityNot monotonic
2023-12-12T14:27:27.593397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3533 1
 
2.4%
3076 1
 
2.4%
3890 1
 
2.4%
3563 1
 
2.4%
3585 1
 
2.4%
4473 1
 
2.4%
2942 1
 
2.4%
3587 1
 
2.4%
2546 1
 
2.4%
3462 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1032 1
2.4%
1127 1
2.4%
1240 1
2.4%
1350 1
2.4%
1366 1
2.4%
1421 1
2.4%
1518 1
2.4%
1593 1
2.4%
1796 1
2.4%
2079 1
2.4%
ValueCountFrequency (%)
15020 1
2.4%
10892 1
2.4%
10744 1
2.4%
9764 1
2.4%
9072 1
2.4%
9021 1
2.4%
9014 1
2.4%
8788 1
2.4%
8761 1
2.4%
8039 1
2.4%

2021-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4854.7317
Minimum1036
Maximum15179
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:27.742613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1036
5-th percentile1247
Q12287
median3584
Q36462
95-th percentile10773
Maximum15179
Range14143
Interquartile range (IQR)4175

Descriptive statistics

Standard deviation3396.5627
Coefficient of variation (CV)0.69963963
Kurtosis0.6354201
Mean4854.7317
Median Absolute Deviation (MAD)1967
Skewness1.0677816
Sum199044
Variance11536638
MonotonicityNot monotonic
2023-12-12T14:27:27.914548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3575 1
 
2.4%
3090 1
 
2.4%
3954 1
 
2.4%
3620 1
 
2.4%
3645 1
 
2.4%
4557 1
 
2.4%
2974 1
 
2.4%
3584 1
 
2.4%
2577 1
 
2.4%
3498 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1036 1
2.4%
1138 1
2.4%
1247 1
2.4%
1369 1
2.4%
1407 1
2.4%
1435 1
2.4%
1560 1
2.4%
1617 1
2.4%
1812 1
2.4%
2102 1
2.4%
ValueCountFrequency (%)
15179 1
2.4%
10994 1
2.4%
10773 1
2.4%
9833 1
2.4%
9215 1
2.4%
9090 1
2.4%
9087 1
2.4%
8834 1
2.4%
8816 1
2.4%
8000 1
2.4%

2021-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4882.0244
Minimum1040
Maximum15255
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:28.082828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1040
5-th percentile1254
Q12294
median3606
Q36505
95-th percentile10843
Maximum15255
Range14215
Interquartile range (IQR)4211

Descriptive statistics

Standard deviation3412.431
Coefficient of variation (CV)0.69897868
Kurtosis0.64202412
Mean4882.0244
Median Absolute Deviation (MAD)1977
Skewness1.0689844
Sum200163
Variance11644685
MonotonicityNot monotonic
2023-12-12T14:27:28.262966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3606 1
 
2.4%
3105 1
 
2.4%
3986 1
 
2.4%
3649 1
 
2.4%
3655 1
 
2.4%
4568 1
 
2.4%
3003 1
 
2.4%
3576 1
 
2.4%
2605 1
 
2.4%
3541 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1040 1
2.4%
1142 1
2.4%
1254 1
2.4%
1380 1
2.4%
1409 1
2.4%
1449 1
2.4%
1570 1
2.4%
1629 1
2.4%
1839 1
2.4%
2115 1
2.4%
ValueCountFrequency (%)
15255 1
2.4%
11066 1
2.4%
10843 1
2.4%
9881 1
2.4%
9301 1
2.4%
9130 1
2.4%
9120 1
2.4%
8905 1
2.4%
8886 1
2.4%
7872 1
2.4%

2021-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4890.7317
Minimum1041
Maximum15261
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:28.455279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile1265
Q12323
median3623
Q36519
95-th percentile10882
Maximum15261
Range14220
Interquartile range (IQR)4196

Descriptive statistics

Standard deviation3407.844
Coefficient of variation (CV)0.69679634
Kurtosis0.66347791
Mean4890.7317
Median Absolute Deviation (MAD)1974
Skewness1.074044
Sum200520
Variance11613400
MonotonicityNot monotonic
2023-12-12T14:27:28.611459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3623 1
 
2.4%
3121 1
 
2.4%
4035 1
 
2.4%
3663 1
 
2.4%
3679 1
 
2.4%
4600 1
 
2.4%
3016 1
 
2.4%
3568 1
 
2.4%
2631 1
 
2.4%
3532 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1041 1
2.4%
1151 1
2.4%
1265 1
2.4%
1397 1
2.4%
1430 1
2.4%
1457 1
2.4%
1580 1
2.4%
1649 1
2.4%
1853 1
2.4%
2129 1
2.4%
ValueCountFrequency (%)
15261 1
2.4%
11085 1
2.4%
10882 1
2.4%
9904 1
2.4%
9307 1
2.4%
9154 1
2.4%
9142 1
2.4%
8894 1
2.4%
8890 1
2.4%
7644 1
2.4%

2022-01
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4890.2195
Minimum1042
Maximum15240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:28.787841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1042
5-th percentile1268
Q12333
median3622
Q36517
95-th percentile10900
Maximum15240
Range14198
Interquartile range (IQR)4184

Descriptive statistics

Standard deviation3403.8523
Coefficient of variation (CV)0.69605307
Kurtosis0.66246722
Mean4890.2195
Median Absolute Deviation (MAD)1964
Skewness1.0744934
Sum200499
Variance11586211
MonotonicityNot monotonic
2023-12-12T14:27:28.932027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3622 1
 
2.4%
3112 1
 
2.4%
4041 1
 
2.4%
3659 1
 
2.4%
3679 1
 
2.4%
4602 1
 
2.4%
2999 1
 
2.4%
3567 1
 
2.4%
2638 1
 
2.4%
3531 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1042 1
2.4%
1154 1
2.4%
1268 1
2.4%
1404 1
2.4%
1438 1
2.4%
1460 1
2.4%
1579 1
2.4%
1658 1
2.4%
1858 1
2.4%
2130 1
2.4%
ValueCountFrequency (%)
15240 1
2.4%
11087 1
2.4%
10900 1
2.4%
9902 1
2.4%
9318 1
2.4%
9157 1
2.4%
9143 1
2.4%
8894 1
2.4%
8871 1
2.4%
7524 1
2.4%

2022-02
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4888.8049
Minimum1045
Maximum15251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:29.099600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1045
5-th percentile1272
Q12347
median3621
Q36510
95-th percentile10909
Maximum15251
Range14206
Interquartile range (IQR)4163

Descriptive statistics

Standard deviation3399.0849
Coefficient of variation (CV)0.69527932
Kurtosis0.6913048
Mean4888.8049
Median Absolute Deviation (MAD)1964
Skewness1.0806636
Sum200441
Variance11553778
MonotonicityNot monotonic
2023-12-12T14:27:29.258420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3621 1
 
2.4%
3133 1
 
2.4%
4046 1
 
2.4%
3655 1
 
2.4%
3687 1
 
2.4%
4610 1
 
2.4%
3031 1
 
2.4%
3566 1
 
2.4%
2645 1
 
2.4%
3535 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1045 1
2.4%
1156 1
2.4%
1272 1
2.4%
1405 1
2.4%
1448 1
2.4%
1462 1
2.4%
1575 1
2.4%
1657 1
2.4%
1863 1
2.4%
2132 1
2.4%
ValueCountFrequency (%)
15251 1
2.4%
11090 1
2.4%
10909 1
2.4%
9891 1
2.4%
9317 1
2.4%
9139 1
2.4%
9117 1
2.4%
8879 1
2.4%
8872 1
2.4%
7420 1
2.4%

2022-03
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4883.5366
Minimum1048
Maximum15239
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:29.413604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1048
5-th percentile1285
Q12359
median3616
Q36492
95-th percentile10840
Maximum15239
Range14191
Interquartile range (IQR)4133

Descriptive statistics

Standard deviation3389.7173
Coefficient of variation (CV)0.69411118
Kurtosis0.70927763
Mean4883.5366
Median Absolute Deviation (MAD)1962
Skewness1.0849656
Sum200225
Variance11490184
MonotonicityNot monotonic
2023-12-12T14:27:29.589886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3616 1
 
2.4%
3124 1
 
2.4%
4050 1
 
2.4%
3665 1
 
2.4%
3689 1
 
2.4%
4615 1
 
2.4%
3037 1
 
2.4%
3535 1
 
2.4%
2640 1
 
2.4%
3533 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1048 1
2.4%
1158 1
2.4%
1285 1
2.4%
1412 1
2.4%
1458 1
2.4%
1468 1
2.4%
1591 1
2.4%
1654 1
2.4%
1867 1
2.4%
2136 1
2.4%
ValueCountFrequency (%)
15239 1
2.4%
11085 1
2.4%
10840 1
2.4%
9884 1
2.4%
9280 1
2.4%
9126 1
2.4%
9116 1
2.4%
8890 1
2.4%
8876 1
2.4%
7336 1
2.4%

2022-04
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4881.7317
Minimum1041
Maximum15187
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:29.764787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile1286
Q12353
median3616
Q36481
95-th percentile10816
Maximum15187
Range14146
Interquartile range (IQR)4128

Descriptive statistics

Standard deviation3384.3051
Coefficient of variation (CV)0.69325914
Kurtosis0.68550367
Mean4881.7317
Median Absolute Deviation (MAD)1957
Skewness1.0816779
Sum200151
Variance11453521
MonotonicityNot monotonic
2023-12-12T14:27:29.981341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3616 1
 
2.4%
3145 1
 
2.4%
4045 1
 
2.4%
3677 1
 
2.4%
3688 1
 
2.4%
4602 1
 
2.4%
3044 1
 
2.4%
3531 1
 
2.4%
2659 1
 
2.4%
3521 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1041 1
2.4%
1159 1
2.4%
1286 1
2.4%
1414 1
2.4%
1469 1
2.4%
1470 1
2.4%
1594 1
2.4%
1659 1
2.4%
1878 1
2.4%
2141 1
2.4%
ValueCountFrequency (%)
15187 1
2.4%
11084 1
2.4%
10816 1
2.4%
9887 1
2.4%
9354 1
2.4%
9135 1
2.4%
9115 1
2.4%
8895 1
2.4%
8858 1
2.4%
7261 1
2.4%

2022-05
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4883.2439
Minimum1039
Maximum15227
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:30.163182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1039
5-th percentile1301
Q12351
median3617
Q36469
95-th percentile10828
Maximum15227
Range14188
Interquartile range (IQR)4118

Descriptive statistics

Standard deviation3385.3383
Coefficient of variation (CV)0.69325603
Kurtosis0.71430927
Mean4883.2439
Median Absolute Deviation (MAD)1963
Skewness1.0882449
Sum200213
Variance11460515
MonotonicityNot monotonic
2023-12-12T14:27:30.382000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3617 1
 
2.4%
3159 1
 
2.4%
4046 1
 
2.4%
3677 1
 
2.4%
3692 1
 
2.4%
4622 1
 
2.4%
3067 1
 
2.4%
3523 1
 
2.4%
2661 1
 
2.4%
3520 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1039 1
2.4%
1163 1
2.4%
1301 1
2.4%
1426 1
2.4%
1472 1
2.4%
1478 1
2.4%
1595 1
2.4%
1654 1
2.4%
1880 1
2.4%
2141 1
2.4%
ValueCountFrequency (%)
15227 1
2.4%
11064 1
2.4%
10828 1
2.4%
9882 1
2.4%
9364 1
2.4%
9142 1
2.4%
9119 1
2.4%
8894 1
2.4%
8857 1
2.4%
7213 1
2.4%

2022-06
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4882.439
Minimum1039
Maximum15240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:30.556158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1039
5-th percentile1316
Q12353
median3611
Q36460
95-th percentile10832
Maximum15240
Range14201
Interquartile range (IQR)4107

Descriptive statistics

Standard deviation3385.5858
Coefficient of variation (CV)0.69342101
Kurtosis0.72544057
Mean4882.439
Median Absolute Deviation (MAD)1949
Skewness1.0922138
Sum200180
Variance11462191
MonotonicityNot monotonic
2023-12-12T14:27:30.720678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3611 1
 
2.4%
3162 1
 
2.4%
4049 1
 
2.4%
3668 1
 
2.4%
3674 1
 
2.4%
4599 1
 
2.4%
3050 1
 
2.4%
3493 1
 
2.4%
2662 1
 
2.4%
3521 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1039 1
2.4%
1162 1
2.4%
1316 1
2.4%
1428 1
2.4%
1475 1
2.4%
1488 1
2.4%
1596 1
2.4%
1662 1
2.4%
1894 1
2.4%
2142 1
2.4%
ValueCountFrequency (%)
15240 1
2.4%
11069 1
2.4%
10832 1
2.4%
9884 1
2.4%
9354 1
2.4%
9132 1
2.4%
9110 1
2.4%
8889 1
2.4%
8863 1
2.4%
7198 1
2.4%

2022-07
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4871.0244
Minimum1041
Maximum15249
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:30.885435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile1321
Q12353
median3599
Q36433
95-th percentile10842
Maximum15249
Range14208
Interquartile range (IQR)4080

Descriptive statistics

Standard deviation3378.6356
Coefficient of variation (CV)0.6936191
Kurtosis0.77082377
Mean4871.0244
Median Absolute Deviation (MAD)1944
Skewness1.1042856
Sum199712
Variance11415178
MonotonicityNot monotonic
2023-12-12T14:27:31.030347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3599 1
 
2.4%
3154 1
 
2.4%
4037 1
 
2.4%
3664 1
 
2.4%
3679 1
 
2.4%
4595 1
 
2.4%
3053 1
 
2.4%
3483 1
 
2.4%
2661 1
 
2.4%
3511 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1041 1
2.4%
1165 1
2.4%
1321 1
2.4%
1431 1
2.4%
1477 1
2.4%
1494 1
2.4%
1601 1
2.4%
1655 1
2.4%
1892 1
2.4%
2140 1
2.4%
ValueCountFrequency (%)
15249 1
2.4%
11067 1
2.4%
10842 1
2.4%
9857 1
2.4%
9320 1
2.4%
9118 1
2.4%
9087 1
2.4%
8844 1
2.4%
8833 1
2.4%
7097 1
2.4%

2022-08
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4850.5366
Minimum1041
Maximum15237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:31.196166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1041
5-th percentile1321
Q12351
median3579
Q36389
95-th percentile10740
Maximum15237
Range14196
Interquartile range (IQR)4038

Descriptive statistics

Standard deviation3364.6499
Coefficient of variation (CV)0.6936655
Kurtosis0.81829608
Mean4850.5366
Median Absolute Deviation (MAD)1920
Skewness1.1160092
Sum198872
Variance11320869
MonotonicityNot monotonic
2023-12-12T14:27:31.370137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3579 1
 
2.4%
3129 1
 
2.4%
4005 1
 
2.4%
3659 1
 
2.4%
3681 1
 
2.4%
4583 1
 
2.4%
3044 1
 
2.4%
3450 1
 
2.4%
2666 1
 
2.4%
3487 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1041 1
2.4%
1165 1
2.4%
1321 1
2.4%
1433 1
2.4%
1477 1
2.4%
1497 1
2.4%
1591 1
2.4%
1659 1
2.4%
1894 1
2.4%
2134 1
2.4%
ValueCountFrequency (%)
15237 1
2.4%
11069 1
2.4%
10740 1
2.4%
9817 1
2.4%
9276 1
2.4%
9079 1
2.4%
9034 1
2.4%
8813 1
2.4%
8788 1
2.4%
7064 1
2.4%

2022-09
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4819.8049
Minimum1035
Maximum15254
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:31.504840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1035
5-th percentile1318
Q12329
median3549
Q36338
95-th percentile10734
Maximum15254
Range14219
Interquartile range (IQR)4009

Descriptive statistics

Standard deviation3352.1483
Coefficient of variation (CV)0.69549461
Kurtosis0.90431053
Mean4819.8049
Median Absolute Deviation (MAD)1893
Skewness1.1380814
Sum197612
Variance11236898
MonotonicityNot monotonic
2023-12-12T14:27:31.645842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3549 1
 
2.4%
3110 1
 
2.4%
3955 1
 
2.4%
3649 1
 
2.4%
3662 1
 
2.4%
4557 1
 
2.4%
3044 1
 
2.4%
3416 1
 
2.4%
2638 1
 
2.4%
3459 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1035 1
2.4%
1168 1
2.4%
1318 1
2.4%
1429 1
2.4%
1472 1
2.4%
1488 1
2.4%
1588 1
2.4%
1666 1
2.4%
1892 1
2.4%
2126 1
2.4%
ValueCountFrequency (%)
15254 1
2.4%
11024 1
2.4%
10734 1
2.4%
9744 1
2.4%
9188 1
2.4%
9046 1
2.4%
8974 1
2.4%
8761 1
2.4%
8717 1
2.4%
6922 1
2.4%

2022-10
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4765.1463
Minimum1032
Maximum15077
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:31.805114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1032
5-th percentile1318
Q12321
median3512
Q36245
95-th percentile10678
Maximum15077
Range14045
Interquartile range (IQR)3924

Descriptive statistics

Standard deviation3315.0832
Coefficient of variation (CV)0.6956939
Kurtosis0.9205445
Mean4765.1463
Median Absolute Deviation (MAD)1857
Skewness1.1488616
Sum195371
Variance10989777
MonotonicityNot monotonic
2023-12-12T14:27:31.944909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3512 1
 
2.4%
3072 1
 
2.4%
3873 1
 
2.4%
3629 1
 
2.4%
3634 1
 
2.4%
4505 1
 
2.4%
3012 1
 
2.4%
3377 1
 
2.4%
2619 1
 
2.4%
3426 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1032 1
2.4%
1165 1
2.4%
1318 1
2.4%
1417 1
2.4%
1464 1
2.4%
1489 1
2.4%
1582 1
2.4%
1655 1
2.4%
1877 1
2.4%
2113 1
2.4%
ValueCountFrequency (%)
15077 1
2.4%
10977 1
2.4%
10678 1
2.4%
9637 1
2.4%
9054 1
2.4%
8974 1
2.4%
8887 1
2.4%
8648 1
2.4%
8591 1
2.4%
6807 1
2.4%

2022-11
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4682.1951
Minimum1018
Maximum14876
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:32.070342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1018
5-th percentile1302
Q12310
median3445
Q36120
95-th percentile10634
Maximum14876
Range13858
Interquartile range (IQR)3810

Descriptive statistics

Standard deviation3259.3497
Coefficient of variation (CV)0.69611573
Kurtosis0.99754834
Mean4682.1951
Median Absolute Deviation (MAD)1807
Skewness1.1710279
Sum191970
Variance10623360
MonotonicityNot monotonic
2023-12-12T14:27:32.200271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3445 1
 
2.4%
3000 1
 
2.4%
3763 1
 
2.4%
3568 1
 
2.4%
3591 1
 
2.4%
4447 1
 
2.4%
2995 1
 
2.4%
3317 1
 
2.4%
2574 1
 
2.4%
3389 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1018 1
2.4%
1154 1
2.4%
1302 1
2.4%
1415 1
2.4%
1453 1
2.4%
1481 1
2.4%
1573 1
2.4%
1638 1
2.4%
1835 1
2.4%
2089 1
2.4%
ValueCountFrequency (%)
14876 1
2.4%
10819 1
2.4%
10634 1
2.4%
9474 1
2.4%
8839 1
2.4%
8717 1
2.4%
8708 1
2.4%
8532 1
2.4%
8417 1
2.4%
6615 1
2.4%

2022-12
Real number (ℝ)

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4558.3171
Minimum1009
Maximum14654
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-12T14:27:32.354390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1009
5-th percentile1285
Q12287
median3354
Q35915
95-th percentile10407
Maximum14654
Range13645
Interquartile range (IQR)3628

Descriptive statistics

Standard deviation3181.0793
Coefficient of variation (CV)0.69786267
Kurtosis1.1719472
Mean4558.3171
Median Absolute Deviation (MAD)1727
Skewness1.2187111
Sum186891
Variance10119266
MonotonicityNot monotonic
2023-12-12T14:27:32.502385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
3354 1
 
2.4%
2952 1
 
2.4%
3619 1
 
2.4%
3507 1
 
2.4%
3530 1
 
2.4%
4343 1
 
2.4%
2935 1
 
2.4%
3201 1
 
2.4%
2539 1
 
2.4%
3277 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1009 1
2.4%
1144 1
2.4%
1285 1
2.4%
1407 1
2.4%
1436 1
2.4%
1462 1
2.4%
1567 1
2.4%
1627 1
2.4%
1793 1
2.4%
2053 1
2.4%
ValueCountFrequency (%)
14654 1
2.4%
10603 1
2.4%
10407 1
2.4%
9263 1
2.4%
8683 1
2.4%
8480 1
2.4%
8380 1
2.4%
8331 1
2.4%
8130 1
2.4%
6197 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
0전국254225392535253025232515250424922480247124632454244424382437243624412441243724332433244324472451246524712482248424852486248624892498250725112514251325182530254725592574264026492661267426822688269026892688268826892690269527002701270827162717271627162720272327282739274527542755275827633044305830763082308530883087308630903111311931213118330533023292327932703265326132603265327432833301349135013523353635423559358836103628363936593693373037703805383438683919344534893533357536063623362236213616361636173611359935793549351234453354
1수도권374137343720370336893672365336293605358835703537351735063503350035053502349234813481349535013504351735263544354435413542354235473562357535803582356235713589361536353661371837323750377237843794379737953795379538003801381538243807381838323833383138333839384738583880389239113914392039314365439644374452446244734476448044984548456845764573488748844869485048324828482648294840485948794915523452495289531353235348539454215445545954845519557056325685572957795857623563026382646265056519651765106492648164696460643363896338624561205915
2지방권143114331438144314441443144014381437143714371444144414421442144514491451145414551457146114651470148414881492149614991501150215041508151215161521153615391545155215571563166516701676168216851688168816891688168716861685168216831703170417081708170817081708170717071708170817091709170817071847184518431840183718321828182218141809180618021799186718641860185218501844184018361835183418321835189619031908191019121922193719531966197419892024204620672084210121192145204920632079210221152129213021322136214121412142214021342126211320892053
36대광역시199419921996199819981997199019821976197319701974197119671966197319781982198619871989199520032009203020392048205320572059206120622066207020762083209721012112212421342148224922572266227722852289229122922292229122922294229422972317232423312335233623382339233923422344234823522356235923602595259525942593259025872582257725722570257425722573265926562653264826462642263926372638264126442654277127832800281428232841285728722889290129322986302730723115315231983260340734303460349435203534353835363534353335173513350534953464343233703291
45대광역시189518941900190419071906189918941892189118931900190018981898190619121915192019211923192819351942196519721977198319881990199219941999200420102017202920342044205720672078221422232232224522522255225822592260225822592261226022642288229523032308231023112312231123142316232023242327232823282566256525632561255725532548254525412537254225392540262726232620261226142610260826062608261126142626272027342743274827512762278027982819283428682932297230163047307831123160328933103328335533643373337533713369336133603359335633433318328432283149
59개도187718781879187818751868186118541847184018341836182918241820182218241827182418221825183318371842185418561865186618681868186718711879188718911895190319081916192819381947200320102019202620342037203720372036203620342033203520352046204720492047204620472048205020512054205520602061206220632206220422062208220722052200219621912198220222052200229722952287227422662260225522522254225822622267238623942423243924482466249025082524253425522581261626532686271327432788255025932633266526952710272027242733273527342732273427252709268526452576
68개도113011331138114311431142114111421141114211411148114711461145114611481149115011521153115711601163117011731175117811811183118411861190119311961200121412161219122312261229128712901294129512961298129712971295129512911288128512831294129212921290128812871287128712851284128112781276127512721347134413421339133613301326131913081303129412901284133313291325131913141307130112951292128912831280131113111311131013101316132213251327132913321347135713631372138013881401139214071421143514491457146014621468146914721475147714771472146414531436
7서울533453185292525852345209518351465112509150675019498849784981497349824966495049284922494249434941494749614981498349754976497849835005502150245021500850195043508151055142518752045230526752755291529752915291529453055305533053495322534553745376537253735385539954195465548855195515552555456316639964986526654965776593660966566758678467896784748874777457743274067402740474127429746374967570818181938198819481838189824682698283829283008323835684038432845884838542962896969764983398819904990298919884988798829884985798179744963794749263
8서울 강북지역444344414431441643954385436943514334432042944276426342594255424842444239422242094204421442104215423542494262427042664266426242624268427642774277425642624273429243044320426042744295431643384352435243534355435943634364438043894408442344394445444844474450446144694491451445364544455145655378542054595491551155295549556656175674569557105715639463876382637363616358636063706381639964296457691569336937694569456946700170407057706770777096711871567187721072337280887589379014909091209142915791179116911591199110908790348974888787088480
9서울 강북지역 도심권581558155810580858035802579757705753573357135717571357025696566356475629560655895574555455355538553955385540552355165508550355015502552055255525553255355550556455835601553655395548555055655574557555755581558655905599566056655697571757265742574457445751576757845817586058855898590859347245734074377471750375637582762577217775780178287837882988158786874887498743876688038834887089068941929693089318933493419363941794679484949495019518953395759591960596199688106331069610744107731084310882109001090910840108161082810832108421074010734106781063410407
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
31울산201520352048206620772092207320752069206320682072207020632059205720572056205420482047205420652064208620982108211421242134214321512154215921682175218021832189219522002210239324002410242024302436244424512453245324532466245424442489249225002501249524962495249125002494249024812486247924712603258825802573256625552531251124852460244624232401243324192405237823722361235623502349234723522381242924472460246924732485250125112520254025832632267126922706272027412753300230123076309031053121311231333124314531593162315431293110307230002952
32세종<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>1057109210931095109511001115111010991094109610991101117611761175117211651172116911641146114511401134131913211318131813121299217521752175219722092208220622182212221022172214221222042660266026602670266426482645264726522755276927742775277628193222323132393237325232463261326132303213320432043204363836523641356635643561356135623565356535643606417643194464452645594733504155955933601960226049609061326133613461356102800480388039800078727644752474207336726172137198709770646922680766156197
33강원101010191019102310221022102410231021102310241032103110301022102010211020101910211024102510281029103110351033103210331031103010301030103110341039103810381039104410471052115711601167117011721179117911811182118311841187118711871196119612051206120812101211121712191222122712301236124012431392139013951393139313871380137013611351134513371336134413421338133413281320131313001294128812811277129912981299130513041304131013041310131213151322133013371343135013621386132713401350136913801397140414051412141414261428143114331429141714151407
34충북124212491268127212721275127112791277127912801288128412851287129112921291129312951300130113051310131113141316131713211324131213141316131813241331132613241332134413521351138913931396139813941390139013921389138313811375137513731377137313721371137013681368136313601359135113481341133713351349134913461348134813361331132813121305128912801272132413191311130412971284127412701265125812541253128712871289129012951333133713341337133313371348135013511372137513951409147614851518156015701580157915751591159415951596160115911588158215731567
35충남101210151019102510311034104310511055105810641108110811101114111611181121112211231126113611461150116311651171118011851192119912051212121512181221123412391238123712381241125512541253124912521252124812421232122512191217121512151227121712131210120912061202120011971197119011841182118311811226122312201219121512061200119511851180117011661164124612431237123412291224121912091211121412101214126112631262125812581262128112981300130613111322133613501365138313891412155415771593161716291649165816571654165916541662165516591666165516381627
36전북1075107610811092108910861087107210571053104410211011100510031005100399999810001000100010011006100610061005100610061006100610051005100610061005101810191021102110231021105410591060106110621063106310611062106310621065106610671071107210741075107510761078108110831085108710931095109711021212121112111211121112101206120111971201119811971196119411911189118411781169116611601150114811471145117411741176117711771177118011821182118411811183118411841185119111981204122412281240124712541265126812721285128613011316132113211318131813021285
37전남73874274474875075075175175075174775275274974574474574474174073774073973674274173973873873773673473473373272975675675775875675781181281381381481881981982182583083483483685285285385385485585786286386686987087587888198598899199299099399399499499599610001001107410741076107710791076107610751077107810781078109410931093109110911095109810991099109911001103110311051105110811081114102410261032103610401041104210451048104110391039104110411035103210181009
38경북898901905911915916917926933937940949955958961964968977988995997100310051017103210381045105010551056106110641069107410761080109510991108111411171122115311561162116311641161116011591153115111461141112211131105110310991093109010851082107810781075107010671064105910561067106510621055105110491044104010371033102510201013103210291025101710131008100510031002998993989100810051004100310041007100610071013101510161023103610431052106210701077111511191127113811421151115411561158115911631162116511651168116511541144
39경남169816961701170016921682167016661666166316591654165216481645164316491649164516451646164716481648165416541658166316671669167116751679168716941698172017221723172717301736180018021807180718071812181018101811181718061799179917991806180618041797179517941797179517881782177517661757175017351737172617161709170016901684166616461632161816141600165116441636162716191609159815911587158215741565159715981601159915981600160916101610161416211663168616921702170817091714177117801796181218391853185818631867187818801894189218941892187718351793
40제주872888892898926926927925925925925944941943943940940940939936935943938934948951950950949946946944954958964976101610201025103810391044130213141332134213521369138514031408140814081408140914101557156215741578157915791580158015791579158015841586158615872137213621472151214721502151215121272123212121112100222422252216221622162209220722022196218221622147219921912182217521692163216121612160216021612174217421742178218522212264221322462282228722942323233323472359235323512353235323512329232123102287