Overview

Dataset statistics

Number of variables44
Number of observations1116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory430.6 KiB
Average record size in memory395.1 B

Variable types

Text1
Numeric43

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 매입자거주지별(면적) 데이터입니다. -(단위 : 천㎡) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068087/fileData.do

Alerts

지역 has unique valuesUnique
2019-01 has 62 (5.6%) zerosZeros
2019-02 has 68 (6.1%) zerosZeros
2019-03 has 59 (5.3%) zerosZeros
2019-04 has 59 (5.3%) zerosZeros
2019-05 has 57 (5.1%) zerosZeros
2019-06 has 58 (5.2%) zerosZeros
2019-07 has 48 (4.3%) zerosZeros
2019-08 has 55 (4.9%) zerosZeros
2019-09 has 62 (5.6%) zerosZeros
2019-10 has 54 (4.8%) zerosZeros
2019-11 has 52 (4.7%) zerosZeros
2019-12 has 47 (4.2%) zerosZeros
2020-01 has 49 (4.4%) zerosZeros
2020-02 has 53 (4.7%) zerosZeros
2020-03 has 41 (3.7%) zerosZeros
2020-04 has 52 (4.7%) zerosZeros
2020-05 has 53 (4.7%) zerosZeros
2020-06 has 43 (3.9%) zerosZeros
2020-07 has 39 (3.5%) zerosZeros
2020-08 has 59 (5.3%) zerosZeros
2020-09 has 59 (5.3%) zerosZeros
2020-10 has 53 (4.7%) zerosZeros
2020-11 has 41 (3.7%) zerosZeros
2020-12 has 35 (3.1%) zerosZeros
2021-01 has 57 (5.1%) zerosZeros
2021-02 has 53 (4.7%) zerosZeros
2021-03 has 43 (3.9%) zerosZeros
2021-04 has 44 (3.9%) zerosZeros
2021-05 has 39 (3.5%) zerosZeros
2021-06 has 49 (4.4%) zerosZeros
2021-07 has 44 (3.9%) zerosZeros
2021-08 has 52 (4.7%) zerosZeros
2021-09 has 48 (4.3%) zerosZeros
2021-10 has 48 (4.3%) zerosZeros
2021-11 has 51 (4.6%) zerosZeros
2021-12 has 48 (4.3%) zerosZeros
2022-01 has 58 (5.2%) zerosZeros
2022-02 has 69 (6.2%) zerosZeros
2022-03 has 58 (5.2%) zerosZeros
2022-04 has 52 (4.7%) zerosZeros
2022-05 has 52 (4.7%) zerosZeros
2022-06 has 61 (5.5%) zerosZeros
2022-07 has 70 (6.3%) zerosZeros

Reproduction

Analysis started2023-12-12 05:52:50.238216
Analysis finished2023-12-12 05:52:50.900450
Duration0.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct1116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-12T14:52:51.045693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length13.861111
Min length9

Characters and Unicode

Total characters15469
Distinct characters150
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1116 ?
Unique (%)100.0%

Sample

1st row전국 /관할시군구내
2nd row전국 /관할시도내
3rd row전국 /관할시도외_서울
4th row전국 /관할시도외_기타
5th row서울 /관할시군구내
ValueCountFrequency (%)
경기 196
 
8.8%
서울 104
 
4.7%
경북 104
 
4.7%
경남 96
 
4.3%
전남 92
 
4.1%
강원 76
 
3.4%
충남 72
 
3.2%
부산 68
 
3.0%
전북 68
 
3.0%
충북 64
 
2.9%
Other values (968) 1292
57.9%
2023-12-12T14:52:51.385975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1560
 
10.1%
관 1120
 
7.2%
1116
 
7.2%
/ 1116
 
7.2%
할 1116
 
7.2%
도 857
 
5.5%
구 739
 
4.8%
군 619
 
4.0%
외 558
 
3.6%
내 558
 
3.6%
Other values (140) 6110
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12679
82.0%
Space Separator 1116
 
7.2%
Other Punctuation 1116
 
7.2%
Connector Punctuation 558
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
Space Separator
ValueCountFrequency (%)
1116
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12679
82.0%
Common 2790
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
Common
ValueCountFrequency (%)
1116
40.0%
/ 1116
40.0%
_ 558
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12679
82.0%
ASCII 2790
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
ASCII
ValueCountFrequency (%)
1116
40.0%
/ 1116
40.0%
_ 558
20.0%

2019-01
Real number (ℝ)

ZEROS 

Distinct381
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.4543
Minimum0
Maximum44273
Zeros62
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:51.557281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median49.5
Q3179.5
95-th percentile626
Maximum44273
Range44273
Interquartile range (IQR)170.5

Descriptive statistics

Standard deviation1826.6107
Coefficient of variation (CV)6.3105322
Kurtosis368.77066
Mean289.4543
Median Absolute Deviation (MAD)46.5
Skewness17.716229
Sum323031
Variance3336506.6
MonotonicityNot monotonic
2023-12-12T14:52:51.687532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
5.6%
5 30
 
2.7%
1 29
 
2.6%
3 28
 
2.5%
7 27
 
2.4%
2 26
 
2.3%
4 24
 
2.2%
8 23
 
2.1%
6 22
 
2.0%
9 20
 
1.8%
Other values (371) 825
73.9%
ValueCountFrequency (%)
0 62
5.6%
1 29
2.6%
2 26
2.3%
3 28
2.5%
4 24
 
2.2%
5 30
2.7%
6 22
 
2.0%
7 27
2.4%
8 23
 
2.1%
9 20
 
1.8%
ValueCountFrequency (%)
44273 1
0.1%
27443 1
0.1%
23381 1
0.1%
9508 1
0.1%
8243 1
0.1%
8038 1
0.1%
6761 1
0.1%
4969 1
0.1%
4814 1
0.1%
4754 1
0.1%

2019-02
Real number (ℝ)

ZEROS 

Distinct334
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.51075
Minimum0
Maximum34393
Zeros68
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:51.823031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median37
Q3135.25
95-th percentile504.25
Maximum34393
Range34393
Interquartile range (IQR)128.5

Descriptive statistics

Standard deviation1492.5032
Coefficient of variation (CV)6.3643274
Kurtosis343.18334
Mean234.51075
Median Absolute Deviation (MAD)35
Skewness17.276575
Sum261714
Variance2227565.8
MonotonicityNot monotonic
2023-12-12T14:52:52.318814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 68
 
6.1%
3 41
 
3.7%
1 39
 
3.5%
5 37
 
3.3%
2 35
 
3.1%
4 32
 
2.9%
8 27
 
2.4%
6 27
 
2.4%
7 21
 
1.9%
10 19
 
1.7%
Other values (324) 770
69.0%
ValueCountFrequency (%)
0 68
6.1%
1 39
3.5%
2 35
3.1%
3 41
3.7%
4 32
2.9%
5 37
3.3%
6 27
 
2.4%
7 21
 
1.9%
8 27
 
2.4%
9 16
 
1.4%
ValueCountFrequency (%)
34393 1
0.1%
25719 1
0.1%
18676 1
0.1%
6643 1
0.1%
6428 1
0.1%
5147 1
0.1%
5003 1
0.1%
4844 1
0.1%
4826 1
0.1%
4311 1
0.1%

2019-03
Real number (ℝ)

ZEROS 

Distinct368
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean292.43728
Minimum0
Maximum46009
Zeros59
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:52.480608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median46.5
Q3183.25
95-th percentile569.5
Maximum46009
Range46009
Interquartile range (IQR)175.25

Descriptive statistics

Standard deviation1874.0906
Coefficient of variation (CV)6.4085217
Kurtosis384.54584
Mean292.43728
Median Absolute Deviation (MAD)44.5
Skewness18.098934
Sum326360
Variance3512215.7
MonotonicityNot monotonic
2023-12-12T14:52:52.615426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
5.3%
2 38
 
3.4%
6 37
 
3.3%
1 34
 
3.0%
5 30
 
2.7%
7 22
 
2.0%
8 22
 
2.0%
3 22
 
2.0%
9 19
 
1.7%
15 19
 
1.7%
Other values (358) 814
72.9%
ValueCountFrequency (%)
0 59
5.3%
1 34
3.0%
2 38
3.4%
3 22
 
2.0%
4 18
 
1.6%
5 30
2.7%
6 37
3.3%
7 22
 
2.0%
8 22
 
2.0%
9 19
 
1.7%
ValueCountFrequency (%)
46009 1
0.1%
28845 1
0.1%
22726 1
0.1%
8704 1
0.1%
8348 1
0.1%
6738 1
0.1%
5931 1
0.1%
5664 1
0.1%
5532 1
0.1%
5114 1
0.1%

2019-04
Real number (ℝ)

ZEROS 

Distinct384
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.69982
Minimum0
Maximum50478
Zeros59
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:52.784770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median47
Q3180.75
95-th percentile670.5
Maximum50478
Range50478
Interquartile range (IQR)171.75

Descriptive statistics

Standard deviation2041.41
Coefficient of variation (CV)6.3456983
Kurtosis381.57413
Mean321.69982
Median Absolute Deviation (MAD)44
Skewness17.873587
Sum359017
Variance4167354.8
MonotonicityNot monotonic
2023-12-12T14:52:52.935702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
5.3%
3 39
 
3.5%
6 33
 
3.0%
1 28
 
2.5%
2 24
 
2.2%
4 22
 
2.0%
5 22
 
2.0%
7 21
 
1.9%
12 21
 
1.9%
8 20
 
1.8%
Other values (374) 827
74.1%
ValueCountFrequency (%)
0 59
5.3%
1 28
2.5%
2 24
2.2%
3 39
3.5%
4 22
 
2.0%
5 22
 
2.0%
6 33
3.0%
7 21
 
1.9%
8 20
 
1.8%
9 19
 
1.7%
ValueCountFrequency (%)
50478 1
0.1%
27987 1
0.1%
26261 1
0.1%
12815 1
0.1%
8527 1
0.1%
8122 1
0.1%
7407 1
0.1%
6642 1
0.1%
5183 1
0.1%
4965 1
0.1%

2019-05
Real number (ℝ)

ZEROS 

Distinct378
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.8853
Minimum0
Maximum43520
Zeros57
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:53.083335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110
median47.5
Q3189
95-th percentile620
Maximum43520
Range43520
Interquartile range (IQR)179

Descriptive statistics

Standard deviation1951.5108
Coefficient of variation (CV)6.3179141
Kurtosis331.33679
Mean308.8853
Median Absolute Deviation (MAD)44.5
Skewness17.050173
Sum344716
Variance3808394.4
MonotonicityNot monotonic
2023-12-12T14:52:53.262160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
5.1%
1 32
 
2.9%
5 27
 
2.4%
7 27
 
2.4%
3 26
 
2.3%
4 24
 
2.2%
9 24
 
2.2%
2 22
 
2.0%
8 21
 
1.9%
15 18
 
1.6%
Other values (368) 838
75.1%
ValueCountFrequency (%)
0 57
5.1%
1 32
2.9%
2 22
 
2.0%
3 26
2.3%
4 24
2.2%
5 27
2.4%
6 16
 
1.4%
7 27
2.4%
8 21
 
1.9%
9 24
2.2%
ValueCountFrequency (%)
43520 1
0.1%
35590 1
0.1%
24141 1
0.1%
9235 1
0.1%
8213 1
0.1%
7849 1
0.1%
5935 1
0.1%
5792 1
0.1%
5780 1
0.1%
5719 1
0.1%

2019-06
Real number (ℝ)

ZEROS 

Distinct351
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean253.45161
Minimum0
Maximum35324
Zeros58
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:53.442200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median37.5
Q3148.5
95-th percentile511.5
Maximum35324
Range35324
Interquartile range (IQR)140.5

Descriptive statistics

Standard deviation1601.8733
Coefficient of variation (CV)6.3202333
Kurtosis325.02523
Mean253.45161
Median Absolute Deviation (MAD)35.5
Skewness16.930004
Sum282852
Variance2565998.1
MonotonicityNot monotonic
2023-12-12T14:52:53.609476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
5.2%
4 39
 
3.5%
1 35
 
3.1%
7 32
 
2.9%
2 32
 
2.9%
3 27
 
2.4%
5 25
 
2.2%
9 25
 
2.2%
10 23
 
2.1%
8 21
 
1.9%
Other values (341) 799
71.6%
ValueCountFrequency (%)
0 58
5.2%
1 35
3.1%
2 32
2.9%
3 27
2.4%
4 39
3.5%
5 25
2.2%
6 18
 
1.6%
7 32
2.9%
8 21
 
1.9%
9 25
2.2%
ValueCountFrequency (%)
35324 1
0.1%
29045 1
0.1%
21091 1
0.1%
6835 1
0.1%
6223 1
0.1%
5312 1
0.1%
5130 1
0.1%
5076 1
0.1%
4930 1
0.1%
4293 1
0.1%

2019-07
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.39695
Minimum0
Maximum36238
Zeros48
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:53.789622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median47
Q3153
95-th percentile562
Maximum36238
Range36238
Interquartile range (IQR)142

Descriptive statistics

Standard deviation1605.3804
Coefficient of variation (CV)6.1888945
Kurtosis332.23635
Mean259.39695
Median Absolute Deviation (MAD)42.5
Skewness17.009417
Sum289487
Variance2577246.1
MonotonicityNot monotonic
2023-12-12T14:52:53.953985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
4.3%
2 37
 
3.3%
5 23
 
2.1%
1 22
 
2.0%
3 22
 
2.0%
6 21
 
1.9%
10 21
 
1.9%
7 21
 
1.9%
11 20
 
1.8%
16 20
 
1.8%
Other values (340) 861
77.2%
ValueCountFrequency (%)
0 48
4.3%
1 22
2.0%
2 37
3.3%
3 22
2.0%
4 19
 
1.7%
5 23
2.1%
6 21
1.9%
7 21
1.9%
8 15
 
1.3%
9 18
 
1.6%
ValueCountFrequency (%)
36238 1
0.1%
28611 1
0.1%
19439 1
0.1%
9524 1
0.1%
6500 1
0.1%
5115 1
0.1%
5077 1
0.1%
5043 1
0.1%
4716 1
0.1%
4569 1
0.1%

2019-08
Real number (ℝ)

ZEROS 

Distinct331
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.85484
Minimum0
Maximum32636
Zeros55
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:54.139125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median39
Q3142
95-th percentile441.75
Maximum32636
Range32636
Interquartile range (IQR)132

Descriptive statistics

Standard deviation1438.3076
Coefficient of variation (CV)6.1504289
Kurtosis326.81024
Mean233.85484
Median Absolute Deviation (MAD)36
Skewness16.788316
Sum260982
Variance2068728.7
MonotonicityNot monotonic
2023-12-12T14:52:54.350667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 55
 
4.9%
7 31
 
2.8%
2 30
 
2.7%
9 29
 
2.6%
1 27
 
2.4%
3 25
 
2.2%
12 22
 
2.0%
8 22
 
2.0%
10 19
 
1.7%
16 18
 
1.6%
Other values (321) 838
75.1%
ValueCountFrequency (%)
0 55
4.9%
1 27
2.4%
2 30
2.7%
3 25
2.2%
4 14
 
1.3%
5 16
 
1.4%
6 18
 
1.6%
7 31
2.8%
8 22
 
2.0%
9 29
2.6%
ValueCountFrequency (%)
32636 1
0.1%
24980 1
0.1%
16634 1
0.1%
10681 1
0.1%
6032 1
0.1%
5810 1
0.1%
4413 1
0.1%
4325 1
0.1%
4164 1
0.1%
3994 1
0.1%

2019-09
Real number (ℝ)

ZEROS 

Distinct313
Distinct (%)28.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean211.7724
Minimum0
Maximum32556
Zeros62
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:54.526876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median33
Q3114.25
95-th percentile452
Maximum32556
Range32556
Interquartile range (IQR)105.25

Descriptive statistics

Standard deviation1354.884
Coefficient of variation (CV)6.3978311
Kurtosis370.11784
Mean211.7724
Median Absolute Deviation (MAD)30
Skewness17.768301
Sum236338
Variance1835710.8
MonotonicityNot monotonic
2023-12-12T14:52:54.695198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 62
 
5.6%
1 41
 
3.7%
7 29
 
2.6%
3 29
 
2.6%
2 26
 
2.3%
8 24
 
2.2%
4 24
 
2.2%
9 24
 
2.2%
6 23
 
2.1%
12 22
 
2.0%
Other values (303) 812
72.8%
ValueCountFrequency (%)
0 62
5.6%
1 41
3.7%
2 26
2.3%
3 29
2.6%
4 24
 
2.2%
5 20
 
1.8%
6 23
 
2.1%
7 29
2.6%
8 24
 
2.2%
9 24
 
2.2%
ValueCountFrequency (%)
32556 1
0.1%
22612 1
0.1%
14536 1
0.1%
7302 1
0.1%
6045 1
0.1%
5304 1
0.1%
5039 1
0.1%
4362 1
0.1%
4132 1
0.1%
3987 1
0.1%

2019-10
Real number (ℝ)

ZEROS 

Distinct330
Distinct (%)29.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.3405
Minimum0
Maximum35368
Zeros54
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:54.900494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median41
Q3146.25
95-th percentile463
Maximum35368
Range35368
Interquartile range (IQR)135.25

Descriptive statistics

Standard deviation1528.9309
Coefficient of variation (CV)6.3090195
Kurtosis346.39074
Mean242.3405
Median Absolute Deviation (MAD)37
Skewness17.33972
Sum270452
Variance2337629.8
MonotonicityNot monotonic
2023-12-12T14:52:55.095106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 54
 
4.8%
2 29
 
2.6%
6 26
 
2.3%
10 25
 
2.2%
14 24
 
2.2%
4 24
 
2.2%
18 23
 
2.1%
1 22
 
2.0%
7 22
 
2.0%
13 22
 
2.0%
Other values (320) 845
75.7%
ValueCountFrequency (%)
0 54
4.8%
1 22
2.0%
2 29
2.6%
3 18
 
1.6%
4 24
2.2%
5 19
 
1.7%
6 26
2.3%
7 22
2.0%
8 16
 
1.4%
9 15
 
1.3%
ValueCountFrequency (%)
35368 1
0.1%
26556 1
0.1%
18355 1
0.1%
7644 1
0.1%
6441 1
0.1%
5599 1
0.1%
5596 1
0.1%
5222 1
0.1%
4887 1
0.1%
3636 1
0.1%

2019-11
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean269.32616
Minimum0
Maximum38025
Zeros52
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:55.290226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median43.5
Q3155.25
95-th percentile634.75
Maximum38025
Range38025
Interquartile range (IQR)142.25

Descriptive statistics

Standard deviation1638.2388
Coefficient of variation (CV)6.0827316
Kurtosis324.0511
Mean269.32616
Median Absolute Deviation (MAD)38.5
Skewness16.543521
Sum300568
Variance2683826.3
MonotonicityNot monotonic
2023-12-12T14:52:55.474532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
4.7%
1 25
 
2.2%
9 23
 
2.1%
2 22
 
2.0%
11 21
 
1.9%
14 20
 
1.8%
3 19
 
1.7%
12 19
 
1.7%
10 19
 
1.7%
15 18
 
1.6%
Other values (340) 878
78.7%
ValueCountFrequency (%)
0 52
4.7%
1 25
2.2%
2 22
2.0%
3 19
 
1.7%
4 17
 
1.5%
5 17
 
1.5%
6 17
 
1.5%
7 14
 
1.3%
8 12
 
1.1%
9 23
2.1%
ValueCountFrequency (%)
38025 1
0.1%
25523 1
0.1%
18838 1
0.1%
15064 1
0.1%
6685 1
0.1%
6229 1
0.1%
5983 1
0.1%
5937 1
0.1%
5012 1
0.1%
4929 1
0.1%

2019-12
Real number (ℝ)

ZEROS 

Distinct380
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean308.2957
Minimum0
Maximum49862
Zeros47
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:55.680263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q115
median50.5
Q3176.25
95-th percentile612.5
Maximum49862
Range49862
Interquartile range (IQR)161.25

Descriptive statistics

Standard deviation1992.316
Coefficient of variation (CV)6.4623541
Kurtosis402.02189
Mean308.2957
Median Absolute Deviation (MAD)45.5
Skewness18.45744
Sum344058
Variance3969322.9
MonotonicityNot monotonic
2023-12-12T14:52:55.865347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 47
 
4.2%
11 23
 
2.1%
1 23
 
2.1%
6 20
 
1.8%
14 19
 
1.7%
20 18
 
1.6%
4 18
 
1.6%
12 17
 
1.5%
3 16
 
1.4%
17 16
 
1.4%
Other values (370) 899
80.6%
ValueCountFrequency (%)
0 47
4.2%
1 23
2.1%
2 15
 
1.3%
3 16
 
1.4%
4 18
 
1.6%
5 10
 
0.9%
6 20
1.8%
7 12
 
1.1%
8 13
 
1.2%
9 11
 
1.0%
ValueCountFrequency (%)
49862 1
0.1%
29309 1
0.1%
24110 1
0.1%
8729 1
0.1%
8333 1
0.1%
7047 1
0.1%
6776 1
0.1%
6568 1
0.1%
5888 1
0.1%
5842 1
0.1%

2020-01
Real number (ℝ)

ZEROS 

Distinct338
Distinct (%)30.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean235.20789
Minimum0
Maximum40628
Zeros49
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:56.030927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median40
Q3134.25
95-th percentile486.5
Maximum40628
Range40628
Interquartile range (IQR)122.25

Descriptive statistics

Standard deviation1536.4922
Coefficient of variation (CV)6.5324861
Kurtosis463.54039
Mean235.20789
Median Absolute Deviation (MAD)36
Skewness19.620182
Sum262492
Variance2360808.4
MonotonicityNot monotonic
2023-12-12T14:52:56.203403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
4.4%
1 25
 
2.2%
3 24
 
2.2%
2 23
 
2.1%
11 23
 
2.1%
5 22
 
2.0%
10 22
 
2.0%
19 20
 
1.8%
16 20
 
1.8%
14 19
 
1.7%
Other values (328) 869
77.9%
ValueCountFrequency (%)
0 49
4.4%
1 25
2.2%
2 23
2.1%
3 24
2.2%
4 19
 
1.7%
5 22
2.0%
6 17
 
1.5%
7 15
 
1.3%
8 19
 
1.7%
9 15
 
1.3%
ValueCountFrequency (%)
40628 1
0.1%
19137 1
0.1%
17302 1
0.1%
8050 1
0.1%
6410 1
0.1%
5915 1
0.1%
5672 1
0.1%
5380 1
0.1%
4950 1
0.1%
4459 1
0.1%

2020-02
Real number (ℝ)

ZEROS 

Distinct368
Distinct (%)33.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean297.12903
Minimum0
Maximum47025
Zeros53
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:56.370285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median44
Q3167.25
95-th percentile628.25
Maximum47025
Range47025
Interquartile range (IQR)154.25

Descriptive statistics

Standard deviation1905.2676
Coefficient of variation (CV)6.4122567
Kurtosis392.29431
Mean297.12903
Median Absolute Deviation (MAD)39
Skewness18.210561
Sum331596
Variance3630044.7
MonotonicityNot monotonic
2023-12-12T14:52:56.501865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
4.7%
1 26
 
2.3%
2 22
 
2.0%
12 22
 
2.0%
10 21
 
1.9%
9 20
 
1.8%
8 19
 
1.7%
15 18
 
1.6%
13 18
 
1.6%
16 17
 
1.5%
Other values (358) 880
78.9%
ValueCountFrequency (%)
0 53
4.7%
1 26
2.3%
2 22
2.0%
3 15
 
1.3%
4 15
 
1.3%
5 15
 
1.3%
6 16
 
1.4%
7 14
 
1.3%
8 19
 
1.7%
9 20
 
1.8%
ValueCountFrequency (%)
47025 1
0.1%
30761 1
0.1%
18981 1
0.1%
11219 1
0.1%
7772 1
0.1%
7254 1
0.1%
6382 1
0.1%
6159 1
0.1%
5944 1
0.1%
5307 1
0.1%

2020-03
Real number (ℝ)

ZEROS 

Distinct385
Distinct (%)34.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.84857
Minimum0
Maximum52176
Zeros41
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:56.641160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q114.75
median53
Q3176.75
95-th percentile668.75
Maximum52176
Range52176
Interquartile range (IQR)162

Descriptive statistics

Standard deviation2058.8416
Coefficient of variation (CV)6.4774292
Kurtosis414.45533
Mean317.84857
Median Absolute Deviation (MAD)47
Skewness18.707939
Sum354719
Variance4238828.6
MonotonicityNot monotonic
2023-12-12T14:52:56.795389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
3.7%
9 25
 
2.2%
1 25
 
2.2%
8 21
 
1.9%
5 21
 
1.9%
10 20
 
1.8%
11 19
 
1.7%
2 19
 
1.7%
15 18
 
1.6%
3 17
 
1.5%
Other values (375) 890
79.7%
ValueCountFrequency (%)
0 41
3.7%
1 25
2.2%
2 19
1.7%
3 17
1.5%
4 9
 
0.8%
5 21
1.9%
6 10
 
0.9%
7 13
 
1.2%
8 21
1.9%
9 25
2.2%
ValueCountFrequency (%)
52176 1
0.1%
28827 1
0.1%
25557 1
0.1%
9083 1
0.1%
8622 1
0.1%
7046 1
0.1%
6648 1
0.1%
6326 1
0.1%
6068 1
0.1%
5190 1
0.1%

2020-04
Real number (ℝ)

ZEROS 

Distinct350
Distinct (%)31.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.44982
Minimum0
Maximum58784
Zeros52
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:57.274334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19.75
median40
Q3158
95-th percentile631.75
Maximum58784
Range58784
Interquartile range (IQR)148.25

Descriptive statistics

Standard deviation2248.0239
Coefficient of variation (CV)7.0815094
Kurtosis443.25376
Mean317.44982
Median Absolute Deviation (MAD)38
Skewness19.138718
Sum354274
Variance5053611.4
MonotonicityNot monotonic
2023-12-12T14:52:57.472918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
4.7%
1 32
 
2.9%
7 31
 
2.8%
2 28
 
2.5%
5 27
 
2.4%
3 25
 
2.2%
6 22
 
2.0%
8 21
 
1.9%
9 21
 
1.9%
4 20
 
1.8%
Other values (340) 837
75.0%
ValueCountFrequency (%)
0 52
4.7%
1 32
2.9%
2 28
2.5%
3 25
2.2%
4 20
 
1.8%
5 27
2.4%
6 22
2.0%
7 31
2.8%
8 21
1.9%
9 21
1.9%
ValueCountFrequency (%)
58784 1
0.1%
26764 1
0.1%
23520 1
0.1%
19404 1
0.1%
13806 1
0.1%
7105 1
0.1%
7075 1
0.1%
6407 1
0.1%
6250 1
0.1%
5442 1
0.1%

2020-05
Real number (ℝ)

ZEROS 

Distinct370
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean285.71416
Minimum0
Maximum40510
Zeros53
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:57.605659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median42
Q3171
95-th percentile591.25
Maximum40510
Range40510
Interquartile range (IQR)161

Descriptive statistics

Standard deviation1789.5877
Coefficient of variation (CV)6.2635598
Kurtosis329.09175
Mean285.71416
Median Absolute Deviation (MAD)38.5
Skewness16.977607
Sum318857
Variance3202624.2
MonotonicityNot monotonic
2023-12-12T14:52:57.745450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
4.7%
4 30
 
2.7%
6 27
 
2.4%
9 26
 
2.3%
7 24
 
2.2%
1 23
 
2.1%
8 23
 
2.1%
3 22
 
2.0%
2 20
 
1.8%
10 20
 
1.8%
Other values (360) 848
76.0%
ValueCountFrequency (%)
0 53
4.7%
1 23
2.1%
2 20
 
1.8%
3 22
2.0%
4 30
2.7%
5 17
 
1.5%
6 27
2.4%
7 24
2.2%
8 23
2.1%
9 26
2.3%
ValueCountFrequency (%)
40510 1
0.1%
30064 1
0.1%
24801 1
0.1%
8231 1
0.1%
7137 1
0.1%
6747 1
0.1%
5714 1
0.1%
5335 1
0.1%
5024 1
0.1%
4965 1
0.1%

2020-06
Real number (ℝ)

ZEROS 

Distinct392
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean341.08244
Minimum0
Maximum47893
Zeros43
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:57.877713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q116
median57
Q3207.25
95-th percentile667.25
Maximum47893
Range47893
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation2105.8674
Coefficient of variation (CV)6.1740716
Kurtosis327.61715
Mean341.08244
Median Absolute Deviation (MAD)51
Skewness16.835669
Sum380648
Variance4434677.5
MonotonicityNot monotonic
2023-12-12T14:52:58.014542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
3.9%
1 23
 
2.1%
10 21
 
1.9%
8 19
 
1.7%
2 18
 
1.6%
7 18
 
1.6%
5 17
 
1.5%
23 16
 
1.4%
6 16
 
1.4%
16 15
 
1.3%
Other values (382) 910
81.5%
ValueCountFrequency (%)
0 43
3.9%
1 23
2.1%
2 18
1.6%
3 14
 
1.3%
4 12
 
1.1%
5 17
 
1.5%
6 16
 
1.4%
7 18
1.6%
8 19
1.7%
9 10
 
0.9%
ValueCountFrequency (%)
47893 1
0.1%
35826 1
0.1%
26451 1
0.1%
13725 1
0.1%
8490 1
0.1%
7354 1
0.1%
6949 1
0.1%
6455 1
0.1%
6398 1
0.1%
5594 1
0.1%

2020-07
Real number (ℝ)

ZEROS 

Distinct380
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean303.59588
Minimum0
Maximum46633
Zeros39
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:58.176576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q117
median56.5
Q3184.25
95-th percentile557.25
Maximum46633
Range46633
Interquartile range (IQR)167.25

Descriptive statistics

Standard deviation1915.0293
Coefficient of variation (CV)6.3078239
Kurtosis374.38721
Mean303.59588
Median Absolute Deviation (MAD)49.5
Skewness17.84016
Sum338813
Variance3667337.4
MonotonicityNot monotonic
2023-12-12T14:52:58.314065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
3.5%
2 20
 
1.8%
14 19
 
1.7%
7 17
 
1.5%
3 17
 
1.5%
1 17
 
1.5%
19 17
 
1.5%
24 17
 
1.5%
15 16
 
1.4%
23 16
 
1.4%
Other values (370) 921
82.5%
ValueCountFrequency (%)
0 39
3.5%
1 17
1.5%
2 20
1.8%
3 17
1.5%
4 16
1.4%
5 13
 
1.2%
6 10
 
0.9%
7 17
1.5%
8 10
 
0.9%
9 14
 
1.3%
ValueCountFrequency (%)
46633 1
0.1%
29469 1
0.1%
23169 1
0.1%
11037 1
0.1%
8086 1
0.1%
7402 1
0.1%
6383 1
0.1%
5980 1
0.1%
5803 1
0.1%
4715 1
0.1%

2020-08
Real number (ℝ)

ZEROS 

Distinct331
Distinct (%)29.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.94176
Minimum0
Maximum36410
Zeros59
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:58.499040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median39
Q3148
95-th percentile501.5
Maximum36410
Range36410
Interquartile range (IQR)137

Descriptive statistics

Standard deviation1542.5999
Coefficient of variation (CV)6.2978231
Kurtosis354.93792
Mean244.94176
Median Absolute Deviation (MAD)36
Skewness17.524957
Sum273355
Variance2379614.3
MonotonicityNot monotonic
2023-12-12T14:52:58.749129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
5.3%
7 29
 
2.6%
1 28
 
2.5%
2 26
 
2.3%
4 25
 
2.2%
14 21
 
1.9%
13 21
 
1.9%
3 21
 
1.9%
15 19
 
1.7%
5 19
 
1.7%
Other values (321) 848
76.0%
ValueCountFrequency (%)
0 59
5.3%
1 28
2.5%
2 26
2.3%
3 21
 
1.9%
4 25
2.2%
5 19
 
1.7%
6 17
 
1.5%
7 29
2.6%
8 16
 
1.4%
9 17
 
1.5%
ValueCountFrequency (%)
36410 1
0.1%
24968 1
0.1%
20151 1
0.1%
7416 1
0.1%
5724 1
0.1%
5405 1
0.1%
4997 1
0.1%
4937 1
0.1%
4351 1
0.1%
4052 1
0.1%

2020-09
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)31.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.49014
Minimum0
Maximum39826
Zeros59
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:58.946152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median43
Q3150.25
95-th percentile591.75
Maximum39826
Range39826
Interquartile range (IQR)139.25

Descriptive statistics

Standard deviation1717.9667
Coefficient of variation (CV)6.2587553
Kurtosis335.78072
Mean274.49014
Median Absolute Deviation (MAD)39
Skewness16.978215
Sum306331
Variance2951409.4
MonotonicityNot monotonic
2023-12-12T14:52:59.120159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 59
 
5.3%
1 29
 
2.6%
5 26
 
2.3%
4 25
 
2.2%
10 25
 
2.2%
14 25
 
2.2%
9 22
 
2.0%
6 22
 
2.0%
11 22
 
2.0%
12 20
 
1.8%
Other values (337) 841
75.4%
ValueCountFrequency (%)
0 59
5.3%
1 29
2.6%
2 20
 
1.8%
3 16
 
1.4%
4 25
2.2%
5 26
2.3%
6 22
 
2.0%
7 11
 
1.0%
8 16
 
1.4%
9 22
 
2.0%
ValueCountFrequency (%)
39826 1
0.1%
27802 1
0.1%
22303 1
0.1%
9848 1
0.1%
6506 1
0.1%
6377 1
0.1%
6149 1
0.1%
5467 1
0.1%
5384 1
0.1%
5106 1
0.1%

2020-10
Real number (ℝ)

ZEROS 

Distinct348
Distinct (%)31.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean259.04928
Minimum0
Maximum37852
Zeros53
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:59.295497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median44
Q3142
95-th percentile530.25
Maximum37852
Range37852
Interquartile range (IQR)131

Descriptive statistics

Standard deviation1632.0648
Coefficient of variation (CV)6.3002097
Kurtosis344.90543
Mean259.04928
Median Absolute Deviation (MAD)40
Skewness17.241058
Sum289099
Variance2663635.5
MonotonicityNot monotonic
2023-12-12T14:52:59.444340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
4.7%
1 27
 
2.4%
2 27
 
2.4%
3 27
 
2.4%
8 27
 
2.4%
11 25
 
2.2%
5 25
 
2.2%
4 23
 
2.1%
15 20
 
1.8%
17 18
 
1.6%
Other values (338) 844
75.6%
ValueCountFrequency (%)
0 53
4.7%
1 27
2.4%
2 27
2.4%
3 27
2.4%
4 23
2.1%
5 25
2.2%
6 17
 
1.5%
7 18
 
1.6%
8 27
2.4%
9 16
 
1.4%
ValueCountFrequency (%)
37852 1
0.1%
28081 1
0.1%
19223 1
0.1%
8866 1
0.1%
6622 1
0.1%
5885 1
0.1%
5632 1
0.1%
5574 1
0.1%
4868 1
0.1%
4458 1
0.1%

2020-11
Real number (ℝ)

ZEROS 

Distinct384
Distinct (%)34.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean307.58333
Minimum0
Maximum47414
Zeros41
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:59.612748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median51
Q3191
95-th percentile612.25
Maximum47414
Range47414
Interquartile range (IQR)179

Descriptive statistics

Standard deviation1933.0567
Coefficient of variation (CV)6.28466
Kurtosis378.154
Mean307.58333
Median Absolute Deviation (MAD)47
Skewness17.895096
Sum343263
Variance3736708.1
MonotonicityNot monotonic
2023-12-12T14:52:59.781497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 41
 
3.7%
4 28
 
2.5%
1 27
 
2.4%
9 25
 
2.2%
5 23
 
2.1%
8 23
 
2.1%
3 21
 
1.9%
11 18
 
1.6%
2 17
 
1.5%
6 17
 
1.5%
Other values (374) 876
78.5%
ValueCountFrequency (%)
0 41
3.7%
1 27
2.4%
2 17
1.5%
3 21
1.9%
4 28
2.5%
5 23
2.1%
6 17
1.5%
7 13
 
1.2%
8 23
2.1%
9 25
2.2%
ValueCountFrequency (%)
47414 1
0.1%
28380 1
0.1%
24270 1
0.1%
11217 1
0.1%
8074 1
0.1%
7869 1
0.1%
7305 1
0.1%
6245 1
0.1%
5604 1
0.1%
5114 1
0.1%

2020-12
Real number (ℝ)

ZEROS 

Distinct421
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.83871
Minimum0
Maximum64255
Zeros35
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:52:59.923944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q117
median62
Q3223
95-th percentile794.25
Maximum64255
Range64255
Interquartile range (IQR)206

Descriptive statistics

Standard deviation2526.8978
Coefficient of variation (CV)6.4488213
Kurtosis417.65853
Mean391.83871
Median Absolute Deviation (MAD)56
Skewness18.687553
Sum437292
Variance6385212.5
MonotonicityNot monotonic
2023-12-12T14:53:00.104266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 35
 
3.1%
1 24
 
2.2%
18 23
 
2.1%
11 20
 
1.8%
5 19
 
1.7%
24 17
 
1.5%
2 17
 
1.5%
7 16
 
1.4%
6 16
 
1.4%
15 15
 
1.3%
Other values (411) 914
81.9%
ValueCountFrequency (%)
0 35
3.1%
1 24
2.2%
2 17
1.5%
3 13
 
1.2%
4 14
 
1.3%
5 19
1.7%
6 16
1.4%
7 16
1.4%
8 13
 
1.2%
9 14
 
1.3%
ValueCountFrequency (%)
64255 1
0.1%
37621 1
0.1%
25217 1
0.1%
14909 1
0.1%
9941 1
0.1%
9593 1
0.1%
9204 1
0.1%
8739 1
0.1%
8694 1
0.1%
7657 1
0.1%

2021-01
Real number (ℝ)

ZEROS 

Distinct365
Distinct (%)32.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean277.51882
Minimum0
Maximum44652
Zeros57
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:00.287047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111
median46
Q3170.25
95-th percentile553
Maximum44652
Range44652
Interquartile range (IQR)159.25

Descriptive statistics

Standard deviation1777.4938
Coefficient of variation (CV)6.4049488
Kurtosis407.5001
Mean277.51882
Median Absolute Deviation (MAD)42
Skewness18.563182
Sum309711
Variance3159484.3
MonotonicityNot monotonic
2023-12-12T14:53:00.454406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
5.1%
2 26
 
2.3%
4 22
 
2.0%
7 21
 
1.9%
9 21
 
1.9%
12 21
 
1.9%
6 21
 
1.9%
5 20
 
1.8%
8 20
 
1.8%
10 20
 
1.8%
Other values (355) 867
77.7%
ValueCountFrequency (%)
0 57
5.1%
1 19
 
1.7%
2 26
2.3%
3 20
 
1.8%
4 22
 
2.0%
5 20
 
1.8%
6 21
 
1.9%
7 21
 
1.9%
8 20
 
1.8%
9 21
 
1.9%
ValueCountFrequency (%)
44652 1
0.1%
27079 1
0.1%
19480 1
0.1%
9410 1
0.1%
7393 1
0.1%
6160 1
0.1%
5980 1
0.1%
5457 1
0.1%
5301 1
0.1%
5242 1
0.1%

2021-02
Real number (ℝ)

ZEROS 

Distinct369
Distinct (%)33.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.58602
Minimum0
Maximum45422
Zeros53
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:00.607733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median43
Q3162
95-th percentile579
Maximum45422
Range45422
Interquartile range (IQR)152

Descriptive statistics

Standard deviation1811.7351
Coefficient of variation (CV)6.4112694
Kurtosis402.69574
Mean282.58602
Median Absolute Deviation (MAD)40
Skewness18.436842
Sum315366
Variance3282384.1
MonotonicityNot monotonic
2023-12-12T14:53:00.761791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 53
 
4.7%
1 31
 
2.8%
4 28
 
2.5%
9 27
 
2.4%
8 24
 
2.2%
5 24
 
2.2%
2 22
 
2.0%
10 21
 
1.9%
7 21
 
1.9%
3 19
 
1.7%
Other values (359) 846
75.8%
ValueCountFrequency (%)
0 53
4.7%
1 31
2.8%
2 22
2.0%
3 19
 
1.7%
4 28
2.5%
5 24
2.2%
6 13
 
1.2%
7 21
 
1.9%
8 24
2.2%
9 27
2.4%
ValueCountFrequency (%)
45422 1
0.1%
26732 1
0.1%
21175 1
0.1%
9262 1
0.1%
7487 1
0.1%
6838 1
0.1%
6184 1
0.1%
6026 1
0.1%
4976 1
0.1%
4958 1
0.1%

2021-03
Real number (ℝ)

ZEROS 

Distinct418
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean393.81631
Minimum0
Maximum65531
Zeros43
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:00.904620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q114
median61
Q3232
95-th percentile811.75
Maximum65531
Range65531
Interquartile range (IQR)218

Descriptive statistics

Standard deviation2566.431
Coefficient of variation (CV)6.5168225
Kurtosis422.54242
Mean393.81631
Median Absolute Deviation (MAD)56.5
Skewness18.82968
Sum439499
Variance6586568
MonotonicityNot monotonic
2023-12-12T14:53:01.063009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 43
 
3.9%
6 24
 
2.2%
9 23
 
2.1%
13 22
 
2.0%
3 22
 
2.0%
1 21
 
1.9%
11 19
 
1.7%
4 17
 
1.5%
2 16
 
1.4%
8 16
 
1.4%
Other values (408) 893
80.0%
ValueCountFrequency (%)
0 43
3.9%
1 21
1.9%
2 16
 
1.4%
3 22
2.0%
4 17
 
1.5%
5 14
 
1.3%
6 24
2.2%
7 15
 
1.3%
8 16
 
1.4%
9 23
2.1%
ValueCountFrequency (%)
65531 1
0.1%
36925 1
0.1%
28583 1
0.1%
12149 1
0.1%
10441 1
0.1%
9475 1
0.1%
9383 1
0.1%
9350 1
0.1%
7439 1
0.1%
6838 1
0.1%

2021-04
Real number (ℝ)

ZEROS 

Distinct417
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean392.05914
Minimum0
Maximum63448
Zeros44
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:01.534384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median58
Q3238.25
95-th percentile798.25
Maximum63448
Range63448
Interquartile range (IQR)225.25

Descriptive statistics

Standard deviation2540.7859
Coefficient of variation (CV)6.4806189
Kurtosis399.55296
Mean392.05914
Median Absolute Deviation (MAD)53
Skewness18.40031
Sum437538
Variance6455592.9
MonotonicityNot monotonic
2023-12-12T14:53:01.696106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
3.9%
7 27
 
2.4%
4 23
 
2.1%
1 22
 
2.0%
10 22
 
2.0%
6 19
 
1.7%
11 19
 
1.7%
8 19
 
1.7%
2 18
 
1.6%
9 16
 
1.4%
Other values (407) 887
79.5%
ValueCountFrequency (%)
0 44
3.9%
1 22
2.0%
2 18
1.6%
3 15
 
1.3%
4 23
2.1%
5 12
 
1.1%
6 19
1.7%
7 27
2.4%
8 19
1.7%
9 16
 
1.4%
ValueCountFrequency (%)
63448 1
0.1%
37487 1
0.1%
30753 1
0.1%
11653 1
0.1%
10941 1
0.1%
9451 1
0.1%
8326 1
0.1%
8020 1
0.1%
7555 1
0.1%
7062 1
0.1%

2021-05
Real number (ℝ)

ZEROS 

Distinct389
Distinct (%)34.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean343.47222
Minimum0
Maximum58293
Zeros39
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:01.887946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median53.5
Q3192
95-th percentile670
Maximum58293
Range58293
Interquartile range (IQR)180

Descriptive statistics

Standard deviation2248.0173
Coefficient of variation (CV)6.5449755
Kurtosis438.61473
Mean343.47222
Median Absolute Deviation (MAD)49.5
Skewness19.097175
Sum383315
Variance5053581.6
MonotonicityNot monotonic
2023-12-12T14:53:02.102029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 39
 
3.5%
3 27
 
2.4%
4 24
 
2.2%
6 24
 
2.2%
1 23
 
2.1%
2 22
 
2.0%
10 22
 
2.0%
12 20
 
1.8%
9 19
 
1.7%
5 19
 
1.7%
Other values (379) 877
78.6%
ValueCountFrequency (%)
0 39
3.5%
1 23
2.1%
2 22
2.0%
3 27
2.4%
4 24
2.2%
5 19
1.7%
6 24
2.2%
7 18
1.6%
8 15
 
1.3%
9 19
1.7%
ValueCountFrequency (%)
58293 1
0.1%
30959 1
0.1%
23953 1
0.1%
11833 1
0.1%
8585 1
0.1%
8515 1
0.1%
8331 1
0.1%
7556 1
0.1%
7132 1
0.1%
6734 1
0.1%

2021-06
Real number (ℝ)

ZEROS 

Distinct394
Distinct (%)35.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean342.96416
Minimum0
Maximum48227
Zeros49
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:02.323754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median57
Q3203.25
95-th percentile673.5
Maximum48227
Range48227
Interquartile range (IQR)191.25

Descriptive statistics

Standard deviation2125.6377
Coefficient of variation (CV)6.1978421
Kurtosis324.36357
Mean342.96416
Median Absolute Deviation (MAD)53
Skewness16.778929
Sum382748
Variance4518335.6
MonotonicityNot monotonic
2023-12-12T14:53:02.527640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 49
 
4.4%
8 28
 
2.5%
3 24
 
2.2%
1 22
 
2.0%
10 22
 
2.0%
9 21
 
1.9%
5 21
 
1.9%
4 20
 
1.8%
2 20
 
1.8%
6 18
 
1.6%
Other values (384) 871
78.0%
ValueCountFrequency (%)
0 49
4.4%
1 22
2.0%
2 20
1.8%
3 24
2.2%
4 20
1.8%
5 21
1.9%
6 18
 
1.6%
7 12
 
1.1%
8 28
2.5%
9 21
1.9%
ValueCountFrequency (%)
48227 1
0.1%
34997 1
0.1%
29023 1
0.1%
12075 1
0.1%
8333 1
0.1%
7736 1
0.1%
7451 1
0.1%
6983 1
0.1%
6320 1
0.1%
5601 1
0.1%

2021-07
Real number (ℝ)

ZEROS 

Distinct382
Distinct (%)34.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean312.01792
Minimum0
Maximum43373
Zeros44
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:02.692473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111.75
median50
Q3174.25
95-th percentile722.25
Maximum43373
Range43373
Interquartile range (IQR)162.5

Descriptive statistics

Standard deviation1934.9328
Coefficient of variation (CV)6.2013514
Kurtosis324.19416
Mean312.01792
Median Absolute Deviation (MAD)45
Skewness16.775102
Sum348212
Variance3743964.8
MonotonicityNot monotonic
2023-12-12T14:53:02.861908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 44
 
3.9%
4 27
 
2.4%
11 26
 
2.3%
3 25
 
2.2%
5 23
 
2.1%
2 22
 
2.0%
8 22
 
2.0%
6 22
 
2.0%
10 21
 
1.9%
9 21
 
1.9%
Other values (372) 863
77.3%
ValueCountFrequency (%)
0 44
3.9%
1 8
 
0.7%
2 22
2.0%
3 25
2.2%
4 27
2.4%
5 23
2.1%
6 22
2.0%
7 18
1.6%
8 22
2.0%
9 21
1.9%
ValueCountFrequency (%)
43373 1
0.1%
34236 1
0.1%
23542 1
0.1%
12250 1
0.1%
7774 1
0.1%
6638 1
0.1%
6479 1
0.1%
6330 1
0.1%
6257 1
0.1%
6155 1
0.1%

2021-08
Real number (ℝ)

ZEROS 

Distinct367
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean298.97491
Minimum0
Maximum43433
Zeros52
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:03.060235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median47
Q3168
95-th percentile627.5
Maximum43433
Range43433
Interquartile range (IQR)157

Descriptive statistics

Standard deviation1885.7724
Coefficient of variation (CV)6.3074602
Kurtosis337.01494
Mean298.97491
Median Absolute Deviation (MAD)42
Skewness17.024662
Sum333656
Variance3556137.4
MonotonicityNot monotonic
2023-12-12T14:53:03.294834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
4.7%
3 27
 
2.4%
1 27
 
2.4%
8 23
 
2.1%
16 23
 
2.1%
5 22
 
2.0%
14 21
 
1.9%
2 21
 
1.9%
6 20
 
1.8%
4 20
 
1.8%
Other values (357) 860
77.1%
ValueCountFrequency (%)
0 52
4.7%
1 27
2.4%
2 21
1.9%
3 27
2.4%
4 20
 
1.8%
5 22
2.0%
6 20
 
1.8%
7 17
 
1.5%
8 23
2.1%
9 20
 
1.8%
ValueCountFrequency (%)
43433 1
0.1%
32400 1
0.1%
21797 1
0.1%
11055 1
0.1%
10156 1
0.1%
7037 1
0.1%
6918 1
0.1%
6692 1
0.1%
6098 1
0.1%
4806 1
0.1%

2021-09
Real number (ℝ)

ZEROS 

Distinct358
Distinct (%)32.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean271.2724
Minimum0
Maximum38309
Zeros48
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:03.443910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median41
Q3155
95-th percentile578.5
Maximum38309
Range38309
Interquartile range (IQR)146

Descriptive statistics

Standard deviation1676.7246
Coefficient of variation (CV)6.1809628
Kurtosis324.35436
Mean271.2724
Median Absolute Deviation (MAD)38
Skewness16.706283
Sum302740
Variance2811405.4
MonotonicityNot monotonic
2023-12-12T14:53:03.616811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
4.3%
1 35
 
3.1%
3 33
 
3.0%
2 33
 
3.0%
4 31
 
2.8%
7 26
 
2.3%
5 25
 
2.2%
6 25
 
2.2%
9 25
 
2.2%
8 20
 
1.8%
Other values (348) 815
73.0%
ValueCountFrequency (%)
0 48
4.3%
1 35
3.1%
2 33
3.0%
3 33
3.0%
4 31
2.8%
5 25
2.2%
6 25
2.2%
7 26
2.3%
8 20
1.8%
9 25
2.2%
ValueCountFrequency (%)
38309 1
0.1%
27288 1
0.1%
22036 1
0.1%
10379 1
0.1%
7523 1
0.1%
6851 1
0.1%
5654 1
0.1%
5473 1
0.1%
5346 1
0.1%
4821 1
0.1%

2021-10
Real number (ℝ)

ZEROS 

Distinct363
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.65771
Minimum0
Maximum42709
Zeros48
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:03.780005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median45
Q3156.25
95-th percentile518.25
Maximum42709
Range42709
Interquartile range (IQR)148.25

Descriptive statistics

Standard deviation1739.4736
Coefficient of variation (CV)6.3796973
Kurtosis382.41933
Mean272.65771
Median Absolute Deviation (MAD)42
Skewness17.96929
Sum304286
Variance3025768.5
MonotonicityNot monotonic
2023-12-12T14:53:03.938975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
4.3%
5 35
 
3.1%
4 32
 
2.9%
7 30
 
2.7%
2 29
 
2.6%
1 28
 
2.5%
6 28
 
2.5%
8 27
 
2.4%
3 26
 
2.3%
12 24
 
2.2%
Other values (353) 809
72.5%
ValueCountFrequency (%)
0 48
4.3%
1 28
2.5%
2 29
2.6%
3 26
2.3%
4 32
2.9%
5 35
3.1%
6 28
2.5%
7 30
2.7%
8 27
2.4%
9 21
1.9%
ValueCountFrequency (%)
42709 1
0.1%
27203 1
0.1%
19095 1
0.1%
10159 1
0.1%
6874 1
0.1%
6694 1
0.1%
6516 1
0.1%
6185 1
0.1%
5975 1
0.1%
5532 1
0.1%

2021-11
Real number (ℝ)

ZEROS 

Distinct379
Distinct (%)34.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.45161
Minimum0
Maximum48540
Zeros51
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:04.075406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median49
Q3185.25
95-th percentile663
Maximum48540
Range48540
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation2036.3976
Coefficient of variation (CV)6.3350051
Kurtosis358.42439
Mean321.45161
Median Absolute Deviation (MAD)46
Skewness17.465084
Sum358740
Variance4146915.2
MonotonicityNot monotonic
2023-12-12T14:53:04.213590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 51
 
4.6%
2 32
 
2.9%
1 32
 
2.9%
5 32
 
2.9%
4 26
 
2.3%
7 26
 
2.3%
6 26
 
2.3%
11 23
 
2.1%
8 21
 
1.9%
9 20
 
1.8%
Other values (369) 827
74.1%
ValueCountFrequency (%)
0 51
4.6%
1 32
2.9%
2 32
2.9%
3 17
 
1.5%
4 26
2.3%
5 32
2.9%
6 26
2.3%
7 26
2.3%
8 21
1.9%
9 20
 
1.8%
ValueCountFrequency (%)
48540 1
0.1%
33138 1
0.1%
23654 1
0.1%
11468 1
0.1%
7828 1
0.1%
7359 1
0.1%
7253 1
0.1%
6711 1
0.1%
6572 1
0.1%
5700 1
0.1%

2021-12
Real number (ℝ)

ZEROS 

Distinct418
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean396.48835
Minimum0
Maximum59114
Zeros48
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:04.364422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median63.5
Q3236.75
95-th percentile792
Maximum59114
Range59114
Interquartile range (IQR)225.75

Descriptive statistics

Standard deviation2490.2736
Coefficient of variation (CV)6.2808241
Kurtosis352.29369
Mean396.48835
Median Absolute Deviation (MAD)59.5
Skewness17.317546
Sum442481
Variance6201462.5
MonotonicityNot monotonic
2023-12-12T14:53:04.533951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 48
 
4.3%
6 31
 
2.8%
3 28
 
2.5%
4 28
 
2.5%
5 27
 
2.4%
1 22
 
2.0%
2 21
 
1.9%
8 21
 
1.9%
7 18
 
1.6%
13 17
 
1.5%
Other values (408) 855
76.6%
ValueCountFrequency (%)
0 48
4.3%
1 22
2.0%
2 21
1.9%
3 28
2.5%
4 28
2.5%
5 27
2.4%
6 31
2.8%
7 18
 
1.6%
8 21
1.9%
9 9
 
0.8%
ValueCountFrequency (%)
59114 1
0.1%
39821 1
0.1%
30002 1
0.1%
14872 1
0.1%
10135 1
0.1%
9553 1
0.1%
9456 1
0.1%
8658 1
0.1%
7731 1
0.1%
7342 1
0.1%

2022-01
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)31.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.31183
Minimum0
Maximum42802
Zeros58
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:04.695593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median36.5
Q3151
95-th percentile605.5
Maximum42802
Range42802
Interquartile range (IQR)145

Descriptive statistics

Standard deviation1704.6774
Coefficient of variation (CV)6.4010578
Kurtosis400.52805
Mean266.31183
Median Absolute Deviation (MAD)34.5
Skewness18.284746
Sum297204
Variance2905925.1
MonotonicityNot monotonic
2023-12-12T14:53:04.855981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
5.2%
4 43
 
3.9%
1 42
 
3.8%
2 41
 
3.7%
5 40
 
3.6%
3 32
 
2.9%
6 28
 
2.5%
7 20
 
1.8%
10 18
 
1.6%
11 18
 
1.6%
Other values (344) 776
69.5%
ValueCountFrequency (%)
0 58
5.2%
1 42
3.8%
2 41
3.7%
3 32
2.9%
4 43
3.9%
5 40
3.6%
6 28
2.5%
7 20
 
1.8%
8 16
 
1.4%
9 9
 
0.8%
ValueCountFrequency (%)
42802 1
0.1%
25200 1
0.1%
17936 1
0.1%
10489 1
0.1%
8085 1
0.1%
7510 1
0.1%
5949 1
0.1%
5862 1
0.1%
5240 1
0.1%
4796 1
0.1%

2022-02
Real number (ℝ)

ZEROS 

Distinct346
Distinct (%)31.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean275.58423
Minimum0
Maximum44089
Zeros69
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:05.020735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median33
Q3142.25
95-th percentile597
Maximum44089
Range44089
Interquartile range (IQR)136.25

Descriptive statistics

Standard deviation1784.2622
Coefficient of variation (CV)6.4744712
Kurtosis388.08184
Mean275.58423
Median Absolute Deviation (MAD)32
Skewness18.084087
Sum307552
Variance3183591.4
MonotonicityNot monotonic
2023-12-12T14:53:05.176452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 69
 
6.2%
1 54
 
4.8%
3 46
 
4.1%
4 44
 
3.9%
6 36
 
3.2%
2 30
 
2.7%
5 27
 
2.4%
8 23
 
2.1%
10 18
 
1.6%
7 17
 
1.5%
Other values (336) 752
67.4%
ValueCountFrequency (%)
0 69
6.2%
1 54
4.8%
2 30
2.7%
3 46
4.1%
4 44
3.9%
5 27
 
2.4%
6 36
3.2%
7 17
 
1.5%
8 23
 
2.1%
9 12
 
1.1%
ValueCountFrequency (%)
44089 1
0.1%
27220 1
0.1%
20588 1
0.1%
7837 1
0.1%
7641 1
0.1%
7321 1
0.1%
5985 1
0.1%
5631 1
0.1%
5491 1
0.1%
4848 1
0.1%

2022-03
Real number (ℝ)

ZEROS 

Distinct378
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean318.76075
Minimum0
Maximum48991
Zeros58
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:05.338521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median43.5
Q3181.25
95-th percentile611.5
Maximum48991
Range48991
Interquartile range (IQR)173.25

Descriptive statistics

Standard deviation2012.488
Coefficient of variation (CV)6.3134747
Kurtosis367.43581
Mean318.76075
Median Absolute Deviation (MAD)41.5
Skewness17.57792
Sum355737
Variance4050107.8
MonotonicityNot monotonic
2023-12-12T14:53:05.484936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 58
 
5.2%
1 39
 
3.5%
2 39
 
3.5%
4 35
 
3.1%
3 33
 
3.0%
5 29
 
2.6%
8 23
 
2.1%
6 22
 
2.0%
9 22
 
2.0%
7 18
 
1.6%
Other values (368) 798
71.5%
ValueCountFrequency (%)
0 58
5.2%
1 39
3.5%
2 39
3.5%
3 33
3.0%
4 35
3.1%
5 29
2.6%
6 22
 
2.0%
7 18
 
1.6%
8 23
 
2.1%
9 22
 
2.0%
ValueCountFrequency (%)
48991 1
0.1%
28921 1
0.1%
25799 1
0.1%
12051 1
0.1%
9529 1
0.1%
7692 1
0.1%
6332 1
0.1%
6144 1
0.1%
5678 1
0.1%
5611 1
0.1%

2022-04
Real number (ℝ)

ZEROS 

Distinct367
Distinct (%)32.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean293.76523
Minimum0
Maximum47939
Zeros52
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:05.633892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median43
Q3176
95-th percentile590.25
Maximum47939
Range47939
Interquartile range (IQR)169

Descriptive statistics

Standard deviation1880.1221
Coefficient of variation (CV)6.4000838
Kurtosis418.19741
Mean293.76523
Median Absolute Deviation (MAD)41
Skewness18.639817
Sum327842
Variance3534859.1
MonotonicityNot monotonic
2023-12-12T14:53:05.799751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
4.7%
5 47
 
4.2%
4 39
 
3.5%
1 35
 
3.1%
2 34
 
3.0%
3 31
 
2.8%
6 30
 
2.7%
11 23
 
2.1%
7 20
 
1.8%
13 15
 
1.3%
Other values (357) 790
70.8%
ValueCountFrequency (%)
0 52
4.7%
1 35
3.1%
2 34
3.0%
3 31
2.8%
4 39
3.5%
5 47
4.2%
6 30
2.7%
7 20
 
1.8%
8 15
 
1.3%
9 14
 
1.3%
ValueCountFrequency (%)
47939 1
0.1%
27518 1
0.1%
17988 1
0.1%
12799 1
0.1%
7424 1
0.1%
7040 1
0.1%
6780 1
0.1%
6542 1
0.1%
6184 1
0.1%
5235 1
0.1%

2022-05
Real number (ℝ)

ZEROS 

Distinct374
Distinct (%)33.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.94444
Minimum0
Maximum43571
Zeros52
Zeros (%)4.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:05.982775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median45
Q3162.25
95-th percentile608.5
Maximum43571
Range43571
Interquartile range (IQR)154.25

Descriptive statistics

Standard deviation1818.3997
Coefficient of variation (CV)6.315106
Kurtosis361.36643
Mean287.94444
Median Absolute Deviation (MAD)42
Skewness17.535614
Sum321346
Variance3306577.4
MonotonicityNot monotonic
2023-12-12T14:53:06.195832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 52
 
4.7%
1 38
 
3.4%
5 36
 
3.2%
4 35
 
3.1%
2 33
 
3.0%
3 28
 
2.5%
7 27
 
2.4%
6 25
 
2.2%
10 21
 
1.9%
13 18
 
1.6%
Other values (364) 803
72.0%
ValueCountFrequency (%)
0 52
4.7%
1 38
3.4%
2 33
3.0%
3 28
2.5%
4 35
3.1%
5 36
3.2%
6 25
2.2%
7 27
2.4%
8 17
 
1.5%
9 16
 
1.4%
ValueCountFrequency (%)
43571 1
0.1%
29028 1
0.1%
21573 1
0.1%
10581 1
0.1%
7149 1
0.1%
6502 1
0.1%
6267 1
0.1%
5965 1
0.1%
5949 1
0.1%
5424 1
0.1%

2022-06
Real number (ℝ)

ZEROS 

Distinct355
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.22939
Minimum0
Maximum44074
Zeros61
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:06.723463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median38.5
Q3159.25
95-th percentile579
Maximum44074
Range44074
Interquartile range (IQR)152.25

Descriptive statistics

Standard deviation1853.8977
Coefficient of variation (CV)6.387698
Kurtosis356.2917
Mean290.22939
Median Absolute Deviation (MAD)36.5
Skewness17.449411
Sum323896
Variance3436936.7
MonotonicityNot monotonic
2023-12-12T14:53:06.876436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 61
 
5.5%
1 39
 
3.5%
5 36
 
3.2%
3 35
 
3.1%
4 34
 
3.0%
7 34
 
3.0%
2 34
 
3.0%
6 24
 
2.2%
9 20
 
1.8%
8 17
 
1.5%
Other values (345) 782
70.1%
ValueCountFrequency (%)
0 61
5.5%
1 39
3.5%
2 34
3.0%
3 35
3.1%
4 34
3.0%
5 36
3.2%
6 24
 
2.2%
7 34
3.0%
8 17
 
1.5%
9 20
 
1.8%
ValueCountFrequency (%)
44074 1
0.1%
29663 1
0.1%
23102 1
0.1%
8756 1
0.1%
8064 1
0.1%
7275 1
0.1%
6839 1
0.1%
6337 1
0.1%
5038 1
0.1%
4508 1
0.1%

2022-07
Real number (ℝ)

ZEROS 

Distinct335
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean234.55376
Minimum0
Maximum36264
Zeros70
Zeros (%)6.3%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-12T14:53:06.999664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3134.25
95-th percentile481.5
Maximum36264
Range36264
Interquartile range (IQR)129.25

Descriptive statistics

Standard deviation1489.4542
Coefficient of variation (CV)6.3501613
Kurtosis375.06398
Mean234.55376
Median Absolute Deviation (MAD)31
Skewness17.83752
Sum261762
Variance2218473.9
MonotonicityNot monotonic
2023-12-12T14:53:07.158514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 70
 
6.3%
1 60
 
5.4%
2 41
 
3.7%
3 40
 
3.6%
4 38
 
3.4%
5 32
 
2.9%
6 25
 
2.2%
9 22
 
2.0%
7 21
 
1.9%
13 21
 
1.9%
Other values (325) 746
66.8%
ValueCountFrequency (%)
0 70
6.3%
1 60
5.4%
2 41
3.7%
3 40
3.6%
4 38
3.4%
5 32
2.9%
6 25
 
2.2%
7 21
 
1.9%
8 18
 
1.6%
9 22
 
2.0%
ValueCountFrequency (%)
36264 1
0.1%
23284 1
0.1%
17437 1
0.1%
8348 1
0.1%
6009 1
0.1%
5553 1
0.1%
5038 1
0.1%
4753 1
0.1%
4499 1
0.1%
4215 1
0.1%

Sample

지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국 /관할시군구내44273343934600950478435203532436238326363255635368380254986240628470255217658784405104789346633364103982637852474146425544652454226553163448582934822743373434333830942709485405911442802440894899147939435714407436264
1전국 /관할시도내23381186762272626261241412109119439166341453618355188382411017302189812555723520248012645123169201512230319223242702521719480211752858330753239532902323542217972203619095236543000217936205882579917988215732310217437
2전국 /관할시도외_서울95086428870412815923568359524106817302764415064833380501121990837075823113725110377416984888661121714909941092621214910941118331207512250110551037910159114681487210489764112051127991058187568348
3전국 /관할시도외_기타27443257192884527987355902904528611249802261226556255232930919137307612882726764300643582629469249682780228081283803762127079267323692537487309593499734236324002728827203331383982125200272202892127518290282966323284
4서울 /관할시군구내191142168243223225315346322338391463452731390227252420531364275255272360255304317360340307276239202186186175137136125247212168120
5서울 /관할시도내261161209232303292372284526387379607424476432329282486558398333284286402352343595376467347369405288231242406203155212270374426213
6서울 /관할시도외_서울0000000000000000000000000000000000000000000
7서울 /관할시도외_기타278118186140177539251223225226271315277283272172177290371224189177197341216252241254285252223638185162183319162125184159196171178
8서울 종로구/관할시군구내59444345446127663481075547789107784545526741185
9서울 종로구/관할시도내64811111078121811112313117631271114819127151527161518131161380545721912
지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
1106제주 /관할시도외_서울117928097727060695103948420259591408612876499683946817317211910311594218123420219716013423011687152112124120203
1107제주 /관할시도외_기타363294378638265261402400212241234253196243185236229339628372271199311424414317392260296349417459287252461470304175379300293352288
1108제주 제주시/관할시군구내5614705136315605875654936784454397224156575704403877015534264694815137314775207806877586876197509106948479054044956167187922520796
1109제주 제주시/관할시도내114485443361999634251337321134110834575937502937113771342499162475839325854235961108642755
1110제주 제주시/관할시도외_서울6032364634385755567265212622241940544431676159461071254028796512512161307613449155446086735787166
1111제주 제주시/관할시도외_기타228175268192681432292511641091371589516811114110723249724719395167246335174159164178229197279158156361352151102196146134224206
1112제주 서귀포시/관할시군구내398277260331282224536273131259225227216218233666212228244178196233239348310454335395311349494344193316372326238193362337377321321
1113제주 서귀포시/관할시도내99105761801905515024712712519011811315712714485115108112111598835168110110220122146132951901221402281291091201001048673
1114제주 서귀포시/관할시도외_서울5759445138323040366833763735121457432182922352266477976362993187212227867472266639673338
1115제주 서귀포시/관할시도외_기타135119109446197118173148481329695101757495122107131125781041441777914323396118120220180129961001181537418215415912881