Overview

Dataset statistics

Number of variables62
Number of observations1981
Missing cells1687
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory557.1 B

Variable types

Text1
Numeric61

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 주택매매 거래현황의 월별 매입자연령대별(동(호)수) 데이터입니다.- (단위 : 동(호)수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068384/fileData.do

Alerts

2019-01 has 28 (1.4%) missing valuesMissing
2019-02 has 28 (1.4%) missing valuesMissing
2019-03 has 28 (1.4%) missing valuesMissing
2019-04 has 28 (1.4%) missing valuesMissing
2019-05 has 28 (1.4%) missing valuesMissing
2019-06 has 28 (1.4%) missing valuesMissing
2019-07 has 28 (1.4%) missing valuesMissing
2019-08 has 28 (1.4%) missing valuesMissing
2019-09 has 28 (1.4%) missing valuesMissing
2019-10 has 28 (1.4%) missing valuesMissing
2019-11 has 28 (1.4%) missing valuesMissing
2019-12 has 28 (1.4%) missing valuesMissing
2020-01 has 28 (1.4%) missing valuesMissing
2020-02 has 28 (1.4%) missing valuesMissing
2020-03 has 28 (1.4%) missing valuesMissing
2020-04 has 28 (1.4%) missing valuesMissing
2020-05 has 28 (1.4%) missing valuesMissing
2020-06 has 28 (1.4%) missing valuesMissing
2020-07 has 28 (1.4%) missing valuesMissing
2020-08 has 28 (1.4%) missing valuesMissing
2020-09 has 28 (1.4%) missing valuesMissing
2020-10 has 28 (1.4%) missing valuesMissing
2020-11 has 28 (1.4%) missing valuesMissing
2020-12 has 28 (1.4%) missing valuesMissing
2021-01 has 28 (1.4%) missing valuesMissing
2021-02 has 28 (1.4%) missing valuesMissing
2021-03 has 28 (1.4%) missing valuesMissing
2021-04 has 28 (1.4%) missing valuesMissing
2021-05 has 28 (1.4%) missing valuesMissing
2021-06 has 28 (1.4%) missing valuesMissing
2021-07 has 28 (1.4%) missing valuesMissing
2021-08 has 28 (1.4%) missing valuesMissing
2021-09 has 28 (1.4%) missing valuesMissing
2021-10 has 28 (1.4%) missing valuesMissing
2021-11 has 28 (1.4%) missing valuesMissing
2021-12 has 28 (1.4%) missing valuesMissing
2022-01 has 28 (1.4%) missing valuesMissing
2022-02 has 28 (1.4%) missing valuesMissing
2022-03 has 28 (1.4%) missing valuesMissing
2022-04 has 28 (1.4%) missing valuesMissing
2022-05 has 28 (1.4%) missing valuesMissing
2022-06 has 28 (1.4%) missing valuesMissing
2022-07 has 28 (1.4%) missing valuesMissing
2022-08 has 28 (1.4%) missing valuesMissing
2022-09 has 28 (1.4%) missing valuesMissing
2022-10 has 28 (1.4%) missing valuesMissing
2022-11 has 28 (1.4%) missing valuesMissing
2022-12 has 28 (1.4%) missing valuesMissing
2023-01 has 28 (1.4%) missing valuesMissing
2023-02 has 28 (1.4%) missing valuesMissing
2023-03 has 28 (1.4%) missing valuesMissing
2023-04 has 28 (1.4%) missing valuesMissing
2023-05 has 28 (1.4%) missing valuesMissing
2023-06 has 28 (1.4%) missing valuesMissing
2023-07 has 28 (1.4%) missing valuesMissing
2023-08 has 28 (1.4%) missing valuesMissing
2023-09 has 28 (1.4%) missing valuesMissing
2023-10 has 28 (1.4%) missing valuesMissing
2023-11 has 28 (1.4%) missing valuesMissing
2023-12 has 28 (1.4%) missing valuesMissing
주택매매거래 has unique valuesUnique
2019-01 has 80 (4.0%) zerosZeros
2019-02 has 105 (5.3%) zerosZeros
2019-03 has 71 (3.6%) zerosZeros
2019-04 has 73 (3.7%) zerosZeros
2019-05 has 72 (3.6%) zerosZeros
2019-06 has 83 (4.2%) zerosZeros
2019-07 has 62 (3.1%) zerosZeros
2019-08 has 68 (3.4%) zerosZeros
2019-09 has 88 (4.4%) zerosZeros
2019-10 has 59 (3.0%) zerosZeros
2019-11 has 67 (3.4%) zerosZeros
2019-12 has 49 (2.5%) zerosZeros
2020-01 has 82 (4.1%) zerosZeros
2020-02 has 61 (3.1%) zerosZeros
2020-03 has 59 (3.0%) zerosZeros
2020-04 has 56 (2.8%) zerosZeros
2020-05 has 51 (2.6%) zerosZeros
2020-06 has 53 (2.7%) zerosZeros
2020-07 has 51 (2.6%) zerosZeros
2020-08 has 61 (3.1%) zerosZeros
2020-09 has 67 (3.4%) zerosZeros
2020-10 has 61 (3.1%) zerosZeros
2020-11 has 61 (3.1%) zerosZeros
2020-12 has 40 (2.0%) zerosZeros
2021-01 has 80 (4.0%) zerosZeros
2021-02 has 83 (4.2%) zerosZeros
2021-03 has 52 (2.6%) zerosZeros
2021-04 has 46 (2.3%) zerosZeros
2021-05 has 51 (2.6%) zerosZeros
2021-06 has 57 (2.9%) zerosZeros
2021-07 has 61 (3.1%) zerosZeros
2021-08 has 64 (3.2%) zerosZeros
2021-09 has 63 (3.2%) zerosZeros
2021-10 has 55 (2.8%) zerosZeros
2021-11 has 51 (2.6%) zerosZeros
2021-12 has 50 (2.5%) zerosZeros
2022-01 has 80 (4.0%) zerosZeros
2022-02 has 68 (3.4%) zerosZeros
2022-03 has 63 (3.2%) zerosZeros
2022-04 has 63 (3.2%) zerosZeros
2022-05 has 54 (2.7%) zerosZeros
2022-06 has 62 (3.1%) zerosZeros
2022-07 has 79 (4.0%) zerosZeros
2022-08 has 81 (4.1%) zerosZeros
2022-09 has 89 (4.5%) zerosZeros
2022-10 has 97 (4.9%) zerosZeros
2022-11 has 92 (4.6%) zerosZeros
2022-12 has 102 (5.1%) zerosZeros
2023-01 has 132 (6.7%) zerosZeros
2023-02 has 120 (6.1%) zerosZeros
2023-03 has 92 (4.6%) zerosZeros
2023-04 has 83 (4.2%) zerosZeros
2023-05 has 82 (4.1%) zerosZeros
2023-06 has 103 (5.2%) zerosZeros
2023-07 has 106 (5.4%) zerosZeros
2023-08 has 91 (4.6%) zerosZeros
2023-09 has 89 (4.5%) zerosZeros
2023-10 has 92 (4.6%) zerosZeros
2023-11 has 89 (4.5%) zerosZeros
2023-12 has 96 (4.8%) zerosZeros
2024-01 has 104 (5.2%) zerosZeros

Reproduction

Analysis started2024-04-06 08:48:57.275420
Analysis finished2024-04-06 08:48:58.960599
Duration1.69 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주택매매거래
Text

UNIQUE 

Distinct1981
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-06T17:48:59.361611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length10.569914
Min length6

Characters and Unicode

Total characters20939
Distinct characters154
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

Unique1981 ?
Unique (%)100.0%

Sample

1st row전국 /20대이하
2nd row전국 /30대
3rd row전국 /40대
4th row전국 /50대
5th row전국 /60대
ValueCountFrequency (%)
경기 364
 
9.2%
서울 182
 
4.6%
경북 182
 
4.6%
경남 168
 
4.2%
전남 161
 
4.1%
강원 133
 
3.4%
충남 126
 
3.2%
전북 119
 
3.0%
부산 119
 
3.0%
충북 112
 
2.8%
Other values (1709) 2296
58.0%
2024-04-06T17:49:00.474144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1981
 
9.5%
/ 1981
 
9.5%
대 1838
 
8.8%
0 1698
 
8.1%
구 833
 
4.0%
시 798
 
3.8%
경 735
 
3.5%
기 661
 
3.2%
군 609
 
2.9%
남 574
 
2.7%
Other values (144) 9231
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13581
64.9%
Decimal Number 3396
 
16.2%
Space Separator 1981
 
9.5%
Other Punctuation 1981
 
9.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 1838
 
13.5%
구 833
 
6.1%
시 798
 
5.9%
경 735
 
5.4%
기 661
 
4.9%
군 609
 
4.5%
남 574
 
4.2%
이 573
 
4.2%
북 469
 
3.5%
전 350
 
2.6%
Other values (135) 6141
45.2%
Decimal Number
ValueCountFrequency (%)
0 1698
50.0%
5 283
 
8.3%
3 283
 
8.3%
2 283
 
8.3%
7 283
 
8.3%
6 283
 
8.3%
4 283
 
8.3%
Space Separator
ValueCountFrequency (%)
1981
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1981
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13581
64.9%
Common 7358
35.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 1838
 
13.5%
구 833
 
6.1%
시 798
 
5.9%
경 735
 
5.4%
기 661
 
4.9%
군 609
 
4.5%
남 574
 
4.2%
이 573
 
4.2%
북 469
 
3.5%
전 350
 
2.6%
Other values (135) 6141
45.2%
Common
ValueCountFrequency (%)
1981
26.9%
/ 1981
26.9%
0 1698
23.1%
5 283
 
3.8%
3 283
 
3.8%
2 283
 
3.8%
7 283
 
3.8%
6 283
 
3.8%
4 283
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13581
64.9%
ASCII 7358
35.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1981
26.9%
/ 1981
26.9%
0 1698
23.1%
5 283
 
3.8%
3 283
 
3.8%
2 283
 
3.8%
7 283
 
3.8%
6 283
 
3.8%
4 283
 
3.8%
Hangul
ValueCountFrequency (%)
대 1838
 
13.5%
구 833
 
6.1%
시 798
 
5.9%
경 735
 
5.4%
기 661
 
4.9%
군 609
 
4.5%
남 574
 
4.2%
이 573
 
4.2%
북 469
 
3.5%
전 350
 
2.6%
Other values (135) 6141
45.2%

2019-01
Real number (ℝ)

MISSING  ZEROS 

Distinct257
Distinct (%)13.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean81.506912
Minimum0
Maximum12931
Zeros80
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:00.904560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median17
Q350
95-th percentile208.4
Maximum12931
Range12931
Interquartile range (IQR)44

Descriptive statistics

Standard deviation511.51843
Coefficient of variation (CV)6.2757674
Kurtosis404.12489
Mean81.506912
Median Absolute Deviation (MAD)14
Skewness18.842162
Sum159183
Variance261651.1
MonotonicityNot monotonic
2024-04-06T17:49:01.849574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 98
 
4.9%
2 80
 
4.0%
0 80
 
4.0%
3 79
 
4.0%
4 74
 
3.7%
6 68
 
3.4%
5 60
 
3.0%
9 57
 
2.9%
7 49
 
2.5%
10 45
 
2.3%
Other values (247) 1263
63.8%
ValueCountFrequency (%)
0 80
4.0%
1 98
4.9%
2 80
4.0%
3 79
4.0%
4 74
3.7%
5 60
3.0%
6 68
3.4%
7 49
2.5%
8 42
2.1%
9 57
2.9%
ValueCountFrequency (%)
12931 1
0.1%
11120 1
0.1%
9986 1
0.1%
6643 1
0.1%
4485 1
0.1%
3259 1
0.1%
2797 1
0.1%
2679 1
0.1%
2550 1
0.1%
2324 1
0.1%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct240
Distinct (%)12.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean70.52893
Minimum0
Maximum11124
Zeros105
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:02.825660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median15
Q343
95-th percentile185.4
Maximum11124
Range11124
Interquartile range (IQR)38

Descriptive statistics

Standard deviation447.04386
Coefficient of variation (CV)6.3384467
Kurtosis415.68794
Mean70.52893
Median Absolute Deviation (MAD)13
Skewness19.214563
Sum137743
Variance199848.22
MonotonicityNot monotonic
2024-04-06T17:49:04.104157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
 
5.3%
2 95
 
4.8%
1 95
 
4.8%
3 80
 
4.0%
4 77
 
3.9%
7 69
 
3.5%
6 69
 
3.5%
5 58
 
2.9%
9 57
 
2.9%
8 53
 
2.7%
Other values (230) 1195
60.3%
ValueCountFrequency (%)
0 105
5.3%
1 95
4.8%
2 95
4.8%
3 80
4.0%
4 77
3.9%
5 58
2.9%
6 69
3.5%
7 69
3.5%
8 53
2.7%
9 57
2.9%
ValueCountFrequency (%)
11124 1
0.1%
10073 1
0.1%
8909 1
0.1%
6074 1
0.1%
2803 1
0.1%
2672 1
0.1%
2512 1
0.1%
2321 1
0.1%
2173 1
0.1%
1949 1
0.1%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct251
Distinct (%)12.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean83.272913
Minimum0
Maximum12871
Zeros71
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:04.930687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median20
Q351
95-th percentile208.8
Maximum12871
Range12871
Interquartile range (IQR)44

Descriptive statistics

Standard deviation524.87676
Coefficient of variation (CV)6.3030911
Kurtosis408.14055
Mean83.272913
Median Absolute Deviation (MAD)17
Skewness19.001678
Sum162632
Variance275495.61
MonotonicityNot monotonic
2024-04-06T17:49:05.379836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 94
 
4.7%
3 76
 
3.8%
2 74
 
3.7%
0 71
 
3.6%
5 64
 
3.2%
4 64
 
3.2%
7 55
 
2.8%
8 54
 
2.7%
9 52
 
2.6%
10 48
 
2.4%
Other values (241) 1301
65.7%
ValueCountFrequency (%)
0 71
3.6%
1 94
4.7%
2 74
3.7%
3 76
3.8%
4 64
3.2%
5 64
3.2%
6 39
2.0%
7 55
2.8%
8 54
2.7%
9 52
2.6%
ValueCountFrequency (%)
12871 1
0.1%
12249 1
0.1%
9685 1
0.1%
7556 1
0.1%
3370 1
0.1%
3351 1
0.1%
3132 1
0.1%
3029 1
0.1%
2390 1
0.1%
2275 1
0.1%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct274
Distinct (%)14.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean92.834101
Minimum0
Maximum14287
Zeros73
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:05.795514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median20
Q357
95-th percentile247
Maximum14287
Range14287
Interquartile range (IQR)50

Descriptive statistics

Standard deviation585.2157
Coefficient of variation (CV)6.3038872
Kurtosis409.62493
Mean92.834101
Median Absolute Deviation (MAD)17
Skewness19.012742
Sum181305
Variance342477.42
MonotonicityNot monotonic
2024-04-06T17:49:06.225757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 88
 
4.4%
3 73
 
3.7%
0 73
 
3.7%
2 72
 
3.6%
5 57
 
2.9%
7 55
 
2.8%
4 53
 
2.7%
6 51
 
2.6%
9 50
 
2.5%
8 44
 
2.2%
Other values (264) 1337
67.5%
ValueCountFrequency (%)
0 73
3.7%
1 88
4.4%
2 72
3.6%
3 73
3.7%
4 53
2.7%
5 57
2.9%
6 51
2.6%
7 55
2.8%
8 44
2.2%
9 50
2.5%
ValueCountFrequency (%)
14287 1
0.1%
13817 1
0.1%
10752 1
0.1%
8288 1
0.1%
3922 1
0.1%
3477 1
0.1%
3419 1
0.1%
3330 1
0.1%
2753 1
0.1%
2482 1
0.1%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct274
Distinct (%)14.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean92.780338
Minimum0
Maximum14039
Zeros72
Zeros (%)3.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:06.625179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median21
Q360
95-th percentile228
Maximum14039
Range14039
Interquartile range (IQR)53

Descriptive statistics

Standard deviation580.48721
Coefficient of variation (CV)6.2565757
Kurtosis393.68712
Mean92.780338
Median Absolute Deviation (MAD)18
Skewness18.619918
Sum181200
Variance336965.4
MonotonicityNot monotonic
2024-04-06T17:49:07.034473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 75
 
3.8%
1 75
 
3.8%
0 72
 
3.6%
6 61
 
3.1%
4 60
 
3.0%
3 58
 
2.9%
9 55
 
2.8%
5 52
 
2.6%
7 49
 
2.5%
8 49
 
2.5%
Other values (264) 1347
68.0%
ValueCountFrequency (%)
0 72
3.6%
1 75
3.8%
2 75
3.8%
3 58
2.9%
4 60
3.0%
5 52
2.6%
6 61
3.1%
7 49
2.5%
8 49
2.5%
9 55
2.8%
ValueCountFrequency (%)
14039 1
0.1%
13405 1
0.1%
10877 1
0.1%
7962 1
0.1%
4956 1
0.1%
3580 1
0.1%
3429 1
0.1%
3313 1
0.1%
2782 1
0.1%
2435 1
0.1%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct268
Distinct (%)13.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean89.09575
Minimum0
Maximum13793
Zeros83
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:07.403519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median19
Q359
95-th percentile222.8
Maximum13793
Range13793
Interquartile range (IQR)53

Descriptive statistics

Standard deviation560.53678
Coefficient of variation (CV)6.2913975
Kurtosis394.40165
Mean89.09575
Median Absolute Deviation (MAD)16
Skewness18.593393
Sum174004
Variance314201.48
MonotonicityNot monotonic
2024-04-06T17:49:07.835127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 88
 
4.4%
0 83
 
4.2%
1 82
 
4.1%
3 81
 
4.1%
4 70
 
3.5%
7 57
 
2.9%
6 52
 
2.6%
5 51
 
2.6%
8 47
 
2.4%
9 43
 
2.2%
Other values (258) 1299
65.6%
ValueCountFrequency (%)
0 83
4.2%
1 82
4.1%
2 88
4.4%
3 81
4.1%
4 70
3.5%
5 51
2.6%
6 52
2.6%
7 57
2.9%
8 47
2.4%
9 43
2.2%
ValueCountFrequency (%)
13793 1
0.1%
12753 1
0.1%
10408 1
0.1%
7538 1
0.1%
4774 1
0.1%
3448 1
0.1%
3336 1
0.1%
3253 1
0.1%
2728 1
0.1%
2374 1
0.1%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct301
Distinct (%)15.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean109.50947
Minimum0
Maximum16884
Zeros62
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:08.380925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median23
Q369
95-th percentile267
Maximum16884
Range16884
Interquartile range (IQR)62

Descriptive statistics

Standard deviation693.11079
Coefficient of variation (CV)6.3292313
Kurtosis392.04167
Mean109.50947
Median Absolute Deviation (MAD)20
Skewness18.542992
Sum213872
Variance480402.56
MonotonicityNot monotonic
2024-04-06T17:49:09.478280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 93
 
4.7%
1 80
 
4.0%
4 70
 
3.5%
3 62
 
3.1%
0 62
 
3.1%
5 48
 
2.4%
7 47
 
2.4%
12 46
 
2.3%
10 46
 
2.3%
6 45
 
2.3%
Other values (291) 1354
68.3%
ValueCountFrequency (%)
0 62
3.1%
1 80
4.0%
2 93
4.7%
3 62
3.1%
4 70
3.5%
5 48
2.4%
6 45
2.3%
7 47
2.4%
8 26
 
1.3%
9 35
 
1.8%
ValueCountFrequency (%)
16884 1
0.1%
15616 1
0.1%
13529 1
0.1%
8909 1
0.1%
5554 1
0.1%
4310 1
0.1%
3884 1
0.1%
3845 1
0.1%
3558 1
0.1%
3135 1
0.1%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct303
Distinct (%)15.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean108.18433
Minimum0
Maximum16955
Zeros68
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:09.857132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median22
Q369
95-th percentile265.8
Maximum16955
Range16955
Interquartile range (IQR)63

Descriptive statistics

Standard deviation692.71891
Coefficient of variation (CV)6.4031353
Kurtosis391.44862
Mean108.18433
Median Absolute Deviation (MAD)19
Skewness18.56746
Sum211284
Variance479859.49
MonotonicityNot monotonic
2024-04-06T17:49:10.425910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 88
 
4.4%
3 83
 
4.2%
2 77
 
3.9%
4 69
 
3.5%
0 68
 
3.4%
5 59
 
3.0%
7 49
 
2.5%
6 45
 
2.3%
8 45
 
2.3%
9 43
 
2.2%
Other values (293) 1327
67.0%
ValueCountFrequency (%)
0 68
3.4%
1 88
4.4%
2 77
3.9%
3 83
4.2%
4 69
3.5%
5 59
3.0%
6 45
2.3%
7 49
2.5%
8 45
2.3%
9 43
2.2%
ValueCountFrequency (%)
16955 1
0.1%
15077 1
0.1%
13989 1
0.1%
9348 1
0.1%
4542 1
0.1%
4357 1
0.1%
3803 1
0.1%
3749 1
0.1%
3541 1
0.1%
3522 1
0.1%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct299
Distinct (%)15.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean104.30876
Minimum0
Maximum16449
Zeros88
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:10.842180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median22
Q368
95-th percentile243.4
Maximum16449
Range16449
Interquartile range (IQR)62

Descriptive statistics

Standard deviation664.79722
Coefficient of variation (CV)6.3733597
Kurtosis396.51162
Mean104.30876
Median Absolute Deviation (MAD)19
Skewness18.654773
Sum203715
Variance441955.34
MonotonicityNot monotonic
2024-04-06T17:49:11.250058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 96
 
4.8%
0 88
 
4.4%
1 78
 
3.9%
4 73
 
3.7%
3 65
 
3.3%
7 56
 
2.8%
6 54
 
2.7%
5 47
 
2.4%
8 39
 
2.0%
12 38
 
1.9%
Other values (289) 1319
66.6%
ValueCountFrequency (%)
0 88
4.4%
1 78
3.9%
2 96
4.8%
3 65
3.3%
4 73
3.7%
5 47
2.4%
6 54
2.7%
7 56
2.8%
8 39
2.0%
9 37
 
1.9%
ValueCountFrequency (%)
16449 1
0.1%
14567 1
0.1%
13289 1
0.1%
8521 1
0.1%
4760 1
0.1%
4422 1
0.1%
3658 1
0.1%
3638 1
0.1%
3434 1
0.1%
2964 1
0.1%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct336
Distinct (%)17.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean134.60522
Minimum0
Maximum22091
Zeros59
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:11.655904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median29
Q387
95-th percentile336
Maximum22091
Range22091
Interquartile range (IQR)79

Descriptive statistics

Standard deviation863.82088
Coefficient of variation (CV)6.4174396
Kurtosis411.19981
Mean134.60522
Median Absolute Deviation (MAD)25
Skewness18.974229
Sum262884
Variance746186.52
MonotonicityNot monotonic
2024-04-06T17:49:12.191043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 72
 
3.6%
1 68
 
3.4%
3 64
 
3.2%
4 64
 
3.2%
0 59
 
3.0%
5 54
 
2.7%
9 44
 
2.2%
8 41
 
2.1%
7 38
 
1.9%
6 37
 
1.9%
Other values (326) 1412
71.3%
ValueCountFrequency (%)
0 59
3.0%
1 68
3.4%
2 72
3.6%
3 64
3.2%
4 64
3.2%
5 54
2.7%
6 37
1.9%
7 38
1.9%
8 41
2.1%
9 44
2.2%
ValueCountFrequency (%)
22091 1
0.1%
18510 1
0.1%
17226 1
0.1%
10835 1
0.1%
6053 1
0.1%
5476 1
0.1%
4897 1
0.1%
4721 1
0.1%
4604 1
0.1%
3582 1
0.1%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct365
Distinct (%)18.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean151.46544
Minimum0
Maximum25186
Zeros67
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:12.672422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median29
Q399
95-th percentile378.2
Maximum25186
Range25186
Interquartile range (IQR)91

Descriptive statistics

Standard deviation971.82168
Coefficient of variation (CV)6.4161283
Kurtosis409.82917
Mean151.46544
Median Absolute Deviation (MAD)26
Skewness18.865354
Sum295812
Variance944437.37
MonotonicityNot monotonic
2024-04-06T17:49:13.137470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76
 
3.8%
2 73
 
3.7%
0 67
 
3.4%
3 64
 
3.2%
4 61
 
3.1%
5 48
 
2.4%
7 44
 
2.2%
8 41
 
2.1%
6 39
 
2.0%
11 31
 
1.6%
Other values (355) 1409
71.1%
ValueCountFrequency (%)
0 67
3.4%
1 76
3.8%
2 73
3.7%
3 64
3.2%
4 61
3.1%
5 48
2.4%
6 39
2.0%
7 44
2.2%
8 41
2.1%
9 27
 
1.4%
ValueCountFrequency (%)
25186 1
0.1%
20072 1
0.1%
19545 1
0.1%
11571 1
0.1%
7137 1
0.1%
7104 1
0.1%
5420 1
0.1%
5375 1
0.1%
4958 1
0.1%
4517 1
0.1%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct422
Distinct (%)21.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean194.4383
Minimum0
Maximum32737
Zeros49
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:13.503931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median37
Q3128
95-th percentile490.4
Maximum32737
Range32737
Interquartile range (IQR)119

Descriptive statistics

Standard deviation1243.1237
Coefficient of variation (CV)6.3934095
Kurtosis412.89354
Mean194.4383
Median Absolute Deviation (MAD)33
Skewness18.872916
Sum379738
Variance1545356.4
MonotonicityNot monotonic
2024-04-06T17:49:13.901521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 72
 
3.6%
3 64
 
3.2%
4 53
 
2.7%
2 52
 
2.6%
0 49
 
2.5%
7 47
 
2.4%
5 44
 
2.2%
6 40
 
2.0%
9 40
 
2.0%
8 32
 
1.6%
Other values (412) 1460
73.7%
ValueCountFrequency (%)
0 49
2.5%
1 72
3.6%
2 52
2.6%
3 64
3.2%
4 53
2.7%
5 44
2.2%
6 40
2.0%
7 47
2.4%
8 32
1.6%
9 40
2.0%
ValueCountFrequency (%)
32737 1
0.1%
24957 1
0.1%
24859 1
0.1%
14341 1
0.1%
10192 1
0.1%
9404 1
0.1%
6873 1
0.1%
6872 1
0.1%
6018 1
0.1%
5698 1
0.1%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct385
Distinct (%)19.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean167.18945
Minimum0
Maximum27509
Zeros82
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:14.305452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median32
Q3110
95-th percentile428.4
Maximum27509
Range27509
Interquartile range (IQR)102

Descriptive statistics

Standard deviation1070.3023
Coefficient of variation (CV)6.4017332
Kurtosis400.85755
Mean167.18945
Median Absolute Deviation (MAD)29
Skewness18.658375
Sum326521
Variance1145546.9
MonotonicityNot monotonic
2024-04-06T17:49:14.768287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
 
4.1%
2 75
 
3.8%
1 73
 
3.7%
3 60
 
3.0%
4 60
 
3.0%
6 47
 
2.4%
5 46
 
2.3%
10 39
 
2.0%
7 36
 
1.8%
9 33
 
1.7%
Other values (375) 1402
70.8%
ValueCountFrequency (%)
0 82
4.1%
1 73
3.7%
2 75
3.8%
3 60
3.0%
4 60
3.0%
5 46
2.3%
6 47
2.4%
7 36
1.8%
8 29
 
1.5%
9 33
1.7%
ValueCountFrequency (%)
27509 1
0.1%
22035 1
0.1%
21425 1
0.1%
12810 1
0.1%
8666 1
0.1%
7614 1
0.1%
6891 1
0.1%
6639 1
0.1%
5434 1
0.1%
4507 1
0.1%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct411
Distinct (%)21.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean191.16027
Minimum0
Maximum30357
Zeros61
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:15.149881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median36
Q3122
95-th percentile504
Maximum30357
Range30357
Interquartile range (IQR)113

Descriptive statistics

Standard deviation1220.5006
Coefficient of variation (CV)6.384698
Kurtosis377.91172
Mean191.16027
Median Absolute Deviation (MAD)33
Skewness18.15453
Sum373336
Variance1489621.6
MonotonicityNot monotonic
2024-04-06T17:49:15.598617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76
 
3.8%
2 63
 
3.2%
0 61
 
3.1%
4 53
 
2.7%
6 53
 
2.7%
3 50
 
2.5%
5 40
 
2.0%
7 38
 
1.9%
10 32
 
1.6%
12 31
 
1.6%
Other values (401) 1456
73.5%
ValueCountFrequency (%)
0 61
3.1%
1 76
3.8%
2 63
3.2%
3 50
2.5%
4 53
2.7%
5 40
2.0%
6 53
2.7%
7 38
1.9%
8 29
 
1.5%
9 30
 
1.5%
ValueCountFrequency (%)
30357 1
0.1%
24844 1
0.1%
24775 1
0.1%
15302 1
0.1%
10504 1
0.1%
8862 1
0.1%
8724 1
0.1%
8386 1
0.1%
6318 1
0.1%
5085 1
0.1%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct398
Distinct (%)20.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean177.53047
Minimum0
Maximum26228
Zeros59
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:16.040410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median35
Q3112
95-th percentile454.4
Maximum26228
Range26228
Interquartile range (IQR)102

Descriptive statistics

Standard deviation1120.1411
Coefficient of variation (CV)6.3095709
Kurtosis344.90007
Mean177.53047
Median Absolute Deviation (MAD)31
Skewness17.370697
Sum346717
Variance1254716
MonotonicityNot monotonic
2024-04-06T17:49:16.488602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 64
 
3.2%
0 59
 
3.0%
5 56
 
2.8%
4 56
 
2.8%
3 55
 
2.8%
2 54
 
2.7%
11 43
 
2.2%
8 40
 
2.0%
9 35
 
1.8%
6 35
 
1.8%
Other values (388) 1456
73.5%
ValueCountFrequency (%)
0 59
3.0%
1 64
3.2%
2 54
2.7%
3 55
2.8%
4 56
2.8%
5 56
2.8%
6 35
1.8%
7 29
1.5%
8 40
2.0%
9 35
1.8%
ValueCountFrequency (%)
26228 1
0.1%
24251 1
0.1%
20971 1
0.1%
15358 1
0.1%
10931 1
0.1%
9187 1
0.1%
8188 1
0.1%
7136 1
0.1%
6246 1
0.1%
4911 1
0.1%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct311
Distinct (%)15.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean119.42857
Minimum0
Maximum17491
Zeros56
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:16.868368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median27
Q374
95-th percentile300.4
Maximum17491
Range17491
Interquartile range (IQR)66

Descriptive statistics

Standard deviation739.55794
Coefficient of variation (CV)6.1924708
Kurtosis365.3192
Mean119.42857
Median Absolute Deviation (MAD)23
Skewness17.925411
Sum233244
Variance546945.94
MonotonicityNot monotonic
2024-04-06T17:49:17.274791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 66
 
3.3%
2 64
 
3.2%
3 57
 
2.9%
0 56
 
2.8%
4 55
 
2.8%
5 52
 
2.6%
7 50
 
2.5%
6 46
 
2.3%
9 45
 
2.3%
8 45
 
2.3%
Other values (301) 1417
71.5%
ValueCountFrequency (%)
0 56
2.8%
1 66
3.3%
2 64
3.2%
3 57
2.9%
4 55
2.8%
5 52
2.6%
6 46
2.3%
7 50
2.5%
8 45
2.3%
9 45
2.3%
ValueCountFrequency (%)
17491 1
0.1%
16647 1
0.1%
13455 1
0.1%
10648 1
0.1%
7643 1
0.1%
4792 1
0.1%
4507 1
0.1%
4506 1
0.1%
3858 1
0.1%
3141 1
0.1%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct342
Distinct (%)17.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean136.40246
Minimum0
Maximum19455
Zeros51
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:17.782039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median30
Q388
95-th percentile330.6
Maximum19455
Range19455
Interquartile range (IQR)79

Descriptive statistics

Standard deviation832.17341
Coefficient of variation (CV)6.1008682
Kurtosis349.30553
Mean136.40246
Median Absolute Deviation (MAD)26
Skewness17.573318
Sum266394
Variance692512.59
MonotonicityNot monotonic
2024-04-06T17:49:18.359274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70
 
3.5%
2 66
 
3.3%
3 54
 
2.7%
4 52
 
2.6%
0 51
 
2.6%
5 50
 
2.5%
6 42
 
2.1%
7 41
 
2.1%
10 40
 
2.0%
8 38
 
1.9%
Other values (332) 1449
73.1%
ValueCountFrequency (%)
0 51
2.6%
1 70
3.5%
2 66
3.3%
3 54
2.7%
4 52
2.6%
5 50
2.5%
6 42
2.1%
7 41
2.1%
8 38
1.9%
9 35
1.8%
ValueCountFrequency (%)
19455 1
0.1%
18156 1
0.1%
15266 1
0.1%
11499 1
0.1%
10721 1
0.1%
5316 1
0.1%
4996 1
0.1%
4937 1
0.1%
4463 1
0.1%
3460 1
0.1%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct454
Distinct (%)23.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean228.21147
Minimum0
Maximum34521
Zeros53
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:18.794498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median46
Q3143
95-th percentile590.4
Maximum34521
Range34521
Interquartile range (IQR)132

Descriptive statistics

Standard deviation1421.2451
Coefficient of variation (CV)6.2277551
Kurtosis358.96909
Mean228.21147
Median Absolute Deviation (MAD)42
Skewness17.715963
Sum445697
Variance2019937.7
MonotonicityNot monotonic
2024-04-06T17:49:19.208648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 74
 
3.7%
1 64
 
3.2%
0 53
 
2.7%
4 42
 
2.1%
3 42
 
2.1%
10 38
 
1.9%
5 36
 
1.8%
8 35
 
1.8%
6 33
 
1.7%
13 30
 
1.5%
Other values (444) 1506
76.0%
ValueCountFrequency (%)
0 53
2.7%
1 64
3.2%
2 74
3.7%
3 42
2.1%
4 42
2.1%
5 36
1.8%
6 33
1.7%
7 28
 
1.4%
8 35
1.8%
9 24
 
1.2%
ValueCountFrequency (%)
34521 1
0.1%
29272 1
0.1%
27991 1
0.1%
18254 1
0.1%
14832 1
0.1%
11035 1
0.1%
9455 1
0.1%
9392 1
0.1%
7727 1
0.1%
5981 1
0.1%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct447
Distinct (%)22.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean231.09575
Minimum0
Maximum35805
Zeros51
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:19.629258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q113
median50
Q3147
95-th percentile568.8
Maximum35805
Range35805
Interquartile range (IQR)134

Descriptive statistics

Standard deviation1462.9269
Coefficient of variation (CV)6.3303931
Kurtosis373.92321
Mean231.09575
Median Absolute Deviation (MAD)44
Skewness18.066511
Sum451330
Variance2140155.2
MonotonicityNot monotonic
2024-04-06T17:49:20.045075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 53
 
2.7%
0 51
 
2.6%
4 48
 
2.4%
2 47
 
2.4%
3 43
 
2.2%
5 41
 
2.1%
6 38
 
1.9%
7 33
 
1.7%
10 30
 
1.5%
8 30
 
1.5%
Other values (437) 1539
77.7%
ValueCountFrequency (%)
0 51
2.6%
1 53
2.7%
2 47
2.4%
3 43
2.2%
4 48
2.4%
5 41
2.1%
6 38
1.9%
7 33
1.7%
8 30
1.5%
9 22
1.1%
ValueCountFrequency (%)
35805 1
0.1%
30044 1
0.1%
30033 1
0.1%
19357 1
0.1%
10567 1
0.1%
10310 1
0.1%
9273 1
0.1%
8890 1
0.1%
8332 1
0.1%
6908 1
0.1%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct336
Distinct (%)17.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean138.37788
Minimum0
Maximum20879
Zeros61
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:20.410304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median31
Q389
95-th percentile366.2
Maximum20879
Range20879
Interquartile range (IQR)80

Descriptive statistics

Standard deviation877.84672
Coefficient of variation (CV)6.3438371
Kurtosis375.49776
Mean138.37788
Median Absolute Deviation (MAD)27
Skewness18.200658
Sum270252
Variance770614.87
MonotonicityNot monotonic
2024-04-06T17:49:21.431411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76
 
3.8%
2 64
 
3.2%
0 61
 
3.1%
3 55
 
2.8%
4 49
 
2.5%
9 47
 
2.4%
7 45
 
2.3%
6 44
 
2.2%
5 42
 
2.1%
8 41
 
2.1%
Other values (326) 1429
72.1%
ValueCountFrequency (%)
0 61
3.1%
1 76
3.8%
2 64
3.2%
3 55
2.8%
4 49
2.5%
5 42
2.1%
6 44
2.2%
7 45
2.3%
8 41
2.1%
9 47
2.4%
ValueCountFrequency (%)
20879 1
0.1%
19155 1
0.1%
17747 1
0.1%
12010 1
0.1%
6212 1
0.1%
5861 1
0.1%
5832 1
0.1%
5788 1
0.1%
4762 1
0.1%
3832 1
0.1%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct336
Distinct (%)17.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean133.20584
Minimum0
Maximum20610
Zeros67
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:21.773779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median31
Q386
95-th percentile332.8
Maximum20610
Range20610
Interquartile range (IQR)77

Descriptive statistics

Standard deviation846.08573
Coefficient of variation (CV)6.3517166
Kurtosis388.26002
Mean133.20584
Median Absolute Deviation (MAD)26
Skewness18.527524
Sum260151
Variance715861.06
MonotonicityNot monotonic
2024-04-06T17:49:22.156925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
 
3.4%
2 67
 
3.4%
4 62
 
3.1%
1 59
 
3.0%
6 55
 
2.8%
3 54
 
2.7%
5 49
 
2.5%
9 47
 
2.4%
7 41
 
2.1%
10 39
 
2.0%
Other values (326) 1413
71.3%
ValueCountFrequency (%)
0 67
3.4%
1 59
3.0%
2 67
3.4%
3 54
2.7%
4 62
3.1%
5 49
2.5%
6 55
2.8%
7 41
2.1%
8 34
1.7%
9 47
2.4%
ValueCountFrequency (%)
20610 1
0.1%
18226 1
0.1%
17231 1
0.1%
11666 1
0.1%
5899 1
0.1%
5622 1
0.1%
5581 1
0.1%
4488 1
0.1%
4487 1
0.1%
4086 1
0.1%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct357
Distinct (%)18.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean150.88633
Minimum0
Maximum23595
Zeros61
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:22.531271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median32
Q395
95-th percentile377
Maximum23595
Range23595
Interquartile range (IQR)86

Descriptive statistics

Standard deviation956.08816
Coefficient of variation (CV)6.3364797
Kurtosis389.35746
Mean150.88633
Median Absolute Deviation (MAD)28
Skewness18.516699
Sum294681
Variance914104.57
MonotonicityNot monotonic
2024-04-06T17:49:22.998951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 70
 
3.5%
3 69
 
3.5%
1 63
 
3.2%
0 61
 
3.1%
4 50
 
2.5%
5 47
 
2.4%
7 46
 
2.3%
6 43
 
2.2%
8 39
 
2.0%
9 32
 
1.6%
Other values (347) 1433
72.3%
ValueCountFrequency (%)
0 61
3.1%
1 63
3.2%
2 70
3.5%
3 69
3.5%
4 50
2.5%
5 47
2.4%
6 43
2.2%
7 46
2.3%
8 39
2.0%
9 32
1.6%
ValueCountFrequency (%)
23595 1
0.1%
20365 1
0.1%
19266 1
0.1%
13185 1
0.1%
6791 1
0.1%
6261 1
0.1%
6063 1
0.1%
5072 1
0.1%
5025 1
0.1%
5015 1
0.1%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct420
Distinct (%)21.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean190.26779
Minimum0
Maximum31111
Zeros61
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:23.356670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median38
Q3110
95-th percentile508.4
Maximum31111
Range31111
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1215.2615
Coefficient of variation (CV)6.387111
Kurtosis417.86585
Mean190.26779
Median Absolute Deviation (MAD)33
Skewness19.149868
Sum371593
Variance1476860.5
MonotonicityNot monotonic
2024-04-06T17:49:23.760601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 74
 
3.7%
0 61
 
3.1%
4 55
 
2.8%
2 51
 
2.6%
5 51
 
2.6%
3 50
 
2.5%
9 37
 
1.9%
11 34
 
1.7%
7 34
 
1.7%
8 33
 
1.7%
Other values (410) 1473
74.4%
ValueCountFrequency (%)
0 61
3.1%
1 74
3.7%
2 51
2.6%
3 50
2.5%
4 55
2.8%
5 51
2.6%
6 29
 
1.5%
7 34
1.7%
8 33
1.7%
9 37
1.9%
ValueCountFrequency (%)
31111 1
0.1%
26380 1
0.1%
24136 1
0.1%
16022 1
0.1%
7353 1
0.1%
6798 1
0.1%
6348 1
0.1%
6095 1
0.1%
5451 1
0.1%
5408 1
0.1%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct460
Distinct (%)23.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean230.86994
Minimum0
Maximum35662
Zeros40
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:24.177598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median51
Q3151
95-th percentile592.6
Maximum35662
Range35662
Interquartile range (IQR)139

Descriptive statistics

Standard deviation1455.8656
Coefficient of variation (CV)6.3059989
Kurtosis405.60715
Mean230.86994
Median Absolute Deviation (MAD)45
Skewness18.871515
Sum450889
Variance2119544.7
MonotonicityNot monotonic
2024-04-06T17:49:24.616437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 64
 
3.2%
2 50
 
2.5%
4 47
 
2.4%
5 46
 
2.3%
3 43
 
2.2%
6 41
 
2.1%
0 40
 
2.0%
9 34
 
1.7%
8 34
 
1.7%
7 31
 
1.6%
Other values (450) 1523
76.9%
ValueCountFrequency (%)
0 40
2.0%
1 64
3.2%
2 50
2.5%
3 43
2.2%
4 47
2.4%
5 46
2.3%
6 41
2.1%
7 31
1.6%
8 34
1.7%
9 34
1.7%
ValueCountFrequency (%)
35662 1
0.1%
34005 1
0.1%
27374 1
0.1%
18705 1
0.1%
10462 1
0.1%
9863 1
0.1%
9133 1
0.1%
8527 1
0.1%
6875 1
0.1%
6830 1
0.1%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct358
Distinct (%)18.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean148.23502
Minimum0
Maximum21833
Zeros80
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:25.083655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median34
Q394
95-th percentile346.4
Maximum21833
Range21833
Interquartile range (IQR)86

Descriptive statistics

Standard deviation926.27698
Coefficient of variation (CV)6.2487053
Kurtosis367.24317
Mean148.23502
Median Absolute Deviation (MAD)30
Skewness17.96784
Sum289503
Variance857989.04
MonotonicityNot monotonic
2024-04-06T17:49:25.507159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 80
 
4.0%
3 65
 
3.3%
1 64
 
3.2%
4 62
 
3.1%
6 54
 
2.7%
2 50
 
2.5%
7 45
 
2.3%
5 42
 
2.1%
9 32
 
1.6%
10 30
 
1.5%
Other values (348) 1429
72.1%
ValueCountFrequency (%)
0 80
4.0%
1 64
3.2%
2 50
2.5%
3 65
3.3%
4 62
3.1%
5 42
2.1%
6 54
2.7%
7 45
2.3%
8 29
 
1.5%
9 32
 
1.6%
ValueCountFrequency (%)
21833 1
0.1%
20574 1
0.1%
18017 1
0.1%
12708 1
0.1%
7057 1
0.1%
6786 1
0.1%
6124 1
0.1%
5786 1
0.1%
5637 1
0.1%
5128 1
0.1%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct346
Distinct (%)17.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean142.1659
Minimum0
Maximum21149
Zeros83
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:25.863557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median32
Q390
95-th percentile344.6
Maximum21149
Range21149
Interquartile range (IQR)82

Descriptive statistics

Standard deviation899.85897
Coefficient of variation (CV)6.3296401
Kurtosis365.05103
Mean142.1659
Median Absolute Deviation (MAD)28
Skewness17.955735
Sum277650
Variance809746.16
MonotonicityNot monotonic
2024-04-06T17:49:26.309304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 83
 
4.2%
1 68
 
3.4%
4 67
 
3.4%
2 66
 
3.3%
3 54
 
2.7%
7 43
 
2.2%
9 42
 
2.1%
6 40
 
2.0%
5 39
 
2.0%
11 39
 
2.0%
Other values (336) 1412
71.3%
ValueCountFrequency (%)
0 83
4.2%
1 68
3.4%
2 66
3.3%
3 54
2.7%
4 67
3.4%
5 39
2.0%
6 40
2.0%
7 43
2.2%
8 32
 
1.6%
9 42
2.1%
ValueCountFrequency (%)
21149 1
0.1%
19175 1
0.1%
18432 1
0.1%
12696 1
0.1%
6644 1
0.1%
6633 1
0.1%
6102 1
0.1%
5456 1
0.1%
5120 1
0.1%
4347 1
0.1%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct380
Distinct (%)19.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean166.79263
Minimum0
Maximum24054
Zeros52
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:26.762273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median40
Q3104
95-th percentile405.8
Maximum24054
Range24054
Interquartile range (IQR)93

Descriptive statistics

Standard deviation1032.776
Coefficient of variation (CV)6.1919763
Kurtosis363.11359
Mean166.79263
Median Absolute Deviation (MAD)34
Skewness17.962501
Sum325746
Variance1066626.2
MonotonicityNot monotonic
2024-04-06T17:49:27.389191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 62
 
3.1%
3 52
 
2.6%
0 52
 
2.6%
2 48
 
2.4%
4 46
 
2.3%
7 37
 
1.9%
8 36
 
1.8%
5 35
 
1.8%
11 34
 
1.7%
9 33
 
1.7%
Other values (370) 1518
76.6%
ValueCountFrequency (%)
0 52
2.6%
1 62
3.1%
2 48
2.4%
3 52
2.6%
4 46
2.3%
5 35
1.8%
6 27
1.4%
7 37
1.9%
8 36
1.8%
9 33
1.7%
ValueCountFrequency (%)
24054 1
0.1%
21826 1
0.1%
21156 1
0.1%
15842 1
0.1%
7851 1
0.1%
6804 1
0.1%
6584 1
0.1%
5846 1
0.1%
5754 1
0.1%
5626 1
0.1%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct356
Distinct (%)18.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean151.37174
Minimum0
Maximum21079
Zeros46
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:27.806987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median38
Q396
95-th percentile367.2
Maximum21079
Range21079
Interquartile range (IQR)84

Descriptive statistics

Standard deviation926.76241
Coefficient of variation (CV)6.122427
Kurtosis356.86522
Mean151.37174
Median Absolute Deviation (MAD)32
Skewness17.802227
Sum295629
Variance858888.56
MonotonicityNot monotonic
2024-04-06T17:49:28.191558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 63
 
3.2%
2 56
 
2.8%
4 51
 
2.6%
0 46
 
2.3%
3 44
 
2.2%
5 43
 
2.2%
7 40
 
2.0%
10 38
 
1.9%
14 34
 
1.7%
6 32
 
1.6%
Other values (346) 1506
76.0%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 46
2.3%
1 63
3.2%
2 56
2.8%
3 44
2.2%
4 51
2.6%
5 43
2.2%
6 32
1.6%
7 40
2.0%
8 25
 
1.3%
9 21
 
1.1%
ValueCountFrequency (%)
21079 1
0.1%
20063 1
0.1%
18727 1
0.1%
14442 1
0.1%
7013 1
0.1%
6188 1
0.1%
5556 1
0.1%
5473 1
0.1%
5453 1
0.1%
5012 1
0.1%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct361
Distinct (%)18.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean158.61393
Minimum0
Maximum21909
Zeros51
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:28.587248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median40
Q3101
95-th percentile374.2
Maximum21909
Range21909
Interquartile range (IQR)90

Descriptive statistics

Standard deviation965.60843
Coefficient of variation (CV)6.0877909
Kurtosis351.66849
Mean158.61393
Median Absolute Deviation (MAD)34
Skewness17.633618
Sum309773
Variance932399.64
MonotonicityNot monotonic
2024-04-06T17:49:28.971805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 60
 
3.0%
2 55
 
2.8%
4 52
 
2.6%
0 51
 
2.6%
3 45
 
2.3%
8 42
 
2.1%
5 40
 
2.0%
9 38
 
1.9%
6 34
 
1.7%
10 29
 
1.5%
Other values (351) 1507
76.1%
ValueCountFrequency (%)
0 51
2.6%
1 60
3.0%
2 55
2.8%
3 45
2.3%
4 52
2.6%
5 40
2.0%
6 34
1.7%
7 21
 
1.1%
8 42
2.1%
9 38
1.9%
ValueCountFrequency (%)
21909 1
0.1%
20354 1
0.1%
20196 1
0.1%
14195 1
0.1%
7591 1
0.1%
7134 1
0.1%
6145 1
0.1%
6032 1
0.1%
5692 1
0.1%
5220 1
0.1%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct360
Distinct (%)18.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean144.6851
Minimum0
Maximum20315
Zeros57
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:29.485238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median36
Q392
95-th percentile354.6
Maximum20315
Range20315
Interquartile range (IQR)82

Descriptive statistics

Standard deviation878.7908
Coefficient of variation (CV)6.0738169
Kurtosis351.43003
Mean144.6851
Median Absolute Deviation (MAD)31
Skewness17.624459
Sum282570
Variance772273.27
MonotonicityNot monotonic
2024-04-06T17:49:29.963940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76
 
3.8%
4 60
 
3.0%
0 57
 
2.9%
6 57
 
2.9%
2 50
 
2.5%
5 44
 
2.2%
3 40
 
2.0%
8 39
 
2.0%
11 32
 
1.6%
12 30
 
1.5%
Other values (350) 1468
74.1%
ValueCountFrequency (%)
0 57
2.9%
1 76
3.8%
2 50
2.5%
3 40
2.0%
4 60
3.0%
5 44
2.2%
6 57
2.9%
7 25
 
1.3%
8 39
2.0%
9 26
 
1.3%
ValueCountFrequency (%)
20315 1
0.1%
18477 1
0.1%
17827 1
0.1%
13026 1
0.1%
7785 1
0.1%
6184 1
0.1%
5378 1
0.1%
5308 1
0.1%
5306 1
0.1%
4807 1
0.1%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct350
Distinct (%)17.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean144.73477
Minimum0
Maximum20023
Zeros61
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:30.374775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median35
Q391
95-th percentile357.6
Maximum20023
Range20023
Interquartile range (IQR)81

Descriptive statistics

Standard deviation880.15509
Coefficient of variation (CV)6.0811587
Kurtosis346.27614
Mean144.73477
Median Absolute Deviation (MAD)30
Skewness17.486913
Sum282667
Variance774672.98
MonotonicityNot monotonic
2024-04-06T17:49:30.795461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 76
 
3.8%
4 61
 
3.1%
0 61
 
3.1%
2 50
 
2.5%
3 43
 
2.2%
6 42
 
2.1%
8 38
 
1.9%
10 35
 
1.8%
5 34
 
1.7%
7 34
 
1.7%
Other values (340) 1479
74.7%
ValueCountFrequency (%)
0 61
3.1%
1 76
3.8%
2 50
2.5%
3 43
2.2%
4 61
3.1%
5 34
1.7%
6 42
2.1%
7 34
1.7%
8 38
1.9%
9 30
 
1.5%
ValueCountFrequency (%)
20023 1
0.1%
18839 1
0.1%
17771 1
0.1%
12583 1
0.1%
8319 1
0.1%
6067 1
0.1%
5900 1
0.1%
5565 1
0.1%
5502 1
0.1%
4757 1
0.1%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct359
Distinct (%)18.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean145.2637
Minimum0
Maximum20321
Zeros64
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:31.226363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median34
Q395
95-th percentile373.4
Maximum20321
Range20321
Interquartile range (IQR)85

Descriptive statistics

Standard deviation881.13512
Coefficient of variation (CV)6.0657628
Kurtosis351.24874
Mean145.2637
Median Absolute Deviation (MAD)30
Skewness17.587945
Sum283700
Variance776399.1
MonotonicityNot monotonic
2024-04-06T17:49:32.214483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 65
 
3.3%
0 64
 
3.2%
3 56
 
2.8%
4 55
 
2.8%
2 54
 
2.7%
5 51
 
2.6%
8 43
 
2.2%
7 36
 
1.8%
6 36
 
1.8%
12 35
 
1.8%
Other values (349) 1458
73.6%
ValueCountFrequency (%)
0 64
3.2%
1 65
3.3%
2 54
2.7%
3 56
2.8%
4 55
2.8%
5 51
2.6%
6 36
1.8%
7 36
1.8%
8 43
2.2%
9 23
 
1.2%
ValueCountFrequency (%)
20321 1
0.1%
19210 1
0.1%
17299 1
0.1%
12296 1
0.1%
8384 1
0.1%
6003 1
0.1%
5779 1
0.1%
5768 1
0.1%
5720 1
0.1%
4605 1
0.1%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct343
Distinct (%)17.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean133.22478
Minimum0
Maximum18307
Zeros63
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:32.655758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median30
Q383
95-th percentile336.8
Maximum18307
Range18307
Interquartile range (IQR)74

Descriptive statistics

Standard deviation801.62925
Coefficient of variation (CV)6.0171181
Kurtosis345.19602
Mean133.22478
Median Absolute Deviation (MAD)26
Skewness17.434019
Sum260188
Variance642609.45
MonotonicityNot monotonic
2024-04-06T17:49:33.121611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 71
 
3.6%
3 69
 
3.5%
1 68
 
3.4%
0 63
 
3.2%
5 54
 
2.7%
8 41
 
2.1%
4 40
 
2.0%
6 40
 
2.0%
9 38
 
1.9%
12 33
 
1.7%
Other values (333) 1436
72.5%
ValueCountFrequency (%)
0 63
3.2%
1 68
3.4%
2 71
3.6%
3 69
3.5%
4 40
2.0%
5 54
2.7%
6 40
2.0%
7 31
1.6%
8 41
2.1%
9 38
1.9%
ValueCountFrequency (%)
18307 1
0.1%
17589 1
0.1%
15457 1
0.1%
11067 1
0.1%
8730 1
0.1%
5328 1
0.1%
5248 1
0.1%
5233 1
0.1%
4955 1
0.1%
3989 1
0.1%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct328
Distinct (%)16.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean122.89964
Minimum0
Maximum17239
Zeros55
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:33.561804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median31
Q378
95-th percentile316.4
Maximum17239
Range17239
Interquartile range (IQR)68

Descriptive statistics

Standard deviation730.75573
Coefficient of variation (CV)5.9459549
Kurtosis349.63644
Mean122.89964
Median Absolute Deviation (MAD)26
Skewness17.580596
Sum240023
Variance534003.94
MonotonicityNot monotonic
2024-04-06T17:49:34.023178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70
 
3.5%
2 69
 
3.5%
0 55
 
2.8%
4 48
 
2.4%
3 48
 
2.4%
5 44
 
2.2%
6 42
 
2.1%
10 39
 
2.0%
7 39
 
2.0%
8 34
 
1.7%
Other values (318) 1465
74.0%
ValueCountFrequency (%)
0 55
2.8%
1 70
3.5%
2 69
3.5%
3 48
2.4%
4 48
2.4%
5 44
2.2%
6 42
2.1%
7 39
2.0%
8 34
1.7%
9 32
1.6%
ValueCountFrequency (%)
17239 1
0.1%
14780 1
0.1%
14660 1
0.1%
11092 1
0.1%
7333 1
0.1%
5379 1
0.1%
4807 1
0.1%
4088 1
0.1%
3839 1
0.1%
3343 1
0.1%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct309
Distinct (%)15.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean109.59549
Minimum0
Maximum14773
Zeros51
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:34.383044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median28
Q367
95-th percentile300
Maximum14773
Range14773
Interquartile range (IQR)58

Descriptive statistics

Standard deviation645.21009
Coefficient of variation (CV)5.8871954
Kurtosis345.05909
Mean109.59549
Median Absolute Deviation (MAD)23
Skewness17.527053
Sum214040
Variance416296.06
MonotonicityNot monotonic
2024-04-06T17:49:34.752367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 72
 
3.6%
2 69
 
3.5%
3 55
 
2.8%
0 51
 
2.6%
4 50
 
2.5%
7 46
 
2.3%
6 42
 
2.1%
10 42
 
2.1%
5 42
 
2.1%
9 40
 
2.0%
Other values (299) 1444
72.9%
ValueCountFrequency (%)
0 51
2.6%
1 72
3.6%
2 69
3.5%
3 55
2.8%
4 50
2.5%
5 42
2.1%
6 42
2.1%
7 46
2.3%
8 34
1.7%
9 40
2.0%
ValueCountFrequency (%)
14773 1
0.1%
13576 1
0.1%
12726 1
0.1%
10059 1
0.1%
6864 1
0.1%
4703 1
0.1%
4458 1
0.1%
3047 1
0.1%
2953 1
0.1%
2935 1
0.1%

2021-12
Real number (ℝ)

MISSING  ZEROS 

Distinct261
Distinct (%)13.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean87.25192
Minimum0
Maximum11284
Zeros50
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:35.153707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median23
Q356
95-th percentile220
Maximum11284
Range11284
Interquartile range (IQR)48

Descriptive statistics

Standard deviation510.79693
Coefficient of variation (CV)5.8542773
Kurtosis328.49061
Mean87.25192
Median Absolute Deviation (MAD)18
Skewness17.13348
Sum170403
Variance260913.51
MonotonicityNot monotonic
2024-04-06T17:49:35.553606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 74
 
3.7%
1 74
 
3.7%
2 60
 
3.0%
5 54
 
2.7%
4 52
 
2.6%
0 50
 
2.5%
7 45
 
2.3%
9 45
 
2.3%
8 44
 
2.2%
10 41
 
2.1%
Other values (251) 1414
71.4%
ValueCountFrequency (%)
0 50
2.5%
1 74
3.7%
2 60
3.0%
3 74
3.7%
4 52
2.6%
5 54
2.7%
6 37
1.9%
7 45
2.3%
8 44
2.2%
9 45
2.3%
ValueCountFrequency (%)
11284 1
0.1%
10780 1
0.1%
9992 1
0.1%
7659 1
0.1%
6570 1
0.1%
3868 1
0.1%
3621 1
0.1%
2396 1
0.1%
2249 1
0.1%
2181 1
0.1%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct235
Distinct (%)12.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean67.585765
Minimum0
Maximum8954
Zeros80
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:35.940842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median17
Q341
95-th percentile173
Maximum8954
Range8954
Interquartile range (IQR)35

Descriptive statistics

Standard deviation402.10095
Coefficient of variation (CV)5.9494916
Kurtosis347.75717
Mean67.585765
Median Absolute Deviation (MAD)13
Skewness17.614169
Sum131995
Variance161685.17
MonotonicityNot monotonic
2024-04-06T17:49:36.442091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 87
 
4.4%
1 80
 
4.0%
0 80
 
4.0%
2 78
 
3.9%
4 70
 
3.5%
5 61
 
3.1%
9 59
 
3.0%
10 58
 
2.9%
6 54
 
2.7%
13 52
 
2.6%
Other values (225) 1274
64.3%
ValueCountFrequency (%)
0 80
4.0%
1 80
4.0%
2 78
3.9%
3 87
4.4%
4 70
3.5%
5 61
3.1%
6 54
2.7%
7 47
2.4%
8 41
2.1%
9 59
3.0%
ValueCountFrequency (%)
8954 1
0.1%
8767 1
0.1%
7956 1
0.1%
6417 1
0.1%
3972 1
0.1%
2927 1
0.1%
2716 1
0.1%
1861 1
0.1%
1838 1
0.1%
1725 1
0.1%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct242
Distinct (%)12.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean70.187404
Minimum0
Maximum9403
Zeros68
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:36.858442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median18
Q342
95-th percentile184.2
Maximum9403
Range9403
Interquartile range (IQR)35

Descriptive statistics

Standard deviation418.26137
Coefficient of variation (CV)5.9592085
Kurtosis356.13766
Mean70.187404
Median Absolute Deviation (MAD)14
Skewness17.828711
Sum137076
Variance174942.58
MonotonicityNot monotonic
2024-04-06T17:49:37.286359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 76
 
3.8%
4 74
 
3.7%
1 72
 
3.6%
0 68
 
3.4%
7 63
 
3.2%
5 62
 
3.1%
3 62
 
3.1%
6 60
 
3.0%
10 57
 
2.9%
9 56
 
2.8%
Other values (232) 1303
65.8%
ValueCountFrequency (%)
0 68
3.4%
1 72
3.6%
2 76
3.8%
3 62
3.1%
4 74
3.7%
5 62
3.1%
6 60
3.0%
7 63
3.2%
8 53
2.7%
9 56
2.8%
ValueCountFrequency (%)
9403 1
0.1%
9200 1
0.1%
8275 1
0.1%
6732 1
0.1%
3753 1
0.1%
3128 1
0.1%
2688 1
0.1%
1849 1
0.1%
1808 1
0.1%
1788 1
0.1%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct269
Distinct (%)13.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean87.210958
Minimum0
Maximum11880
Zeros63
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:37.666927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median22
Q354
95-th percentile227.4
Maximum11880
Range11880
Interquartile range (IQR)46

Descriptive statistics

Standard deviation520.36379
Coefficient of variation (CV)5.9667249
Kurtosis358.59216
Mean87.210958
Median Absolute Deviation (MAD)17
Skewness17.875338
Sum170323
Variance270778.48
MonotonicityNot monotonic
2024-04-06T17:49:38.069112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 80
 
4.0%
3 67
 
3.4%
2 64
 
3.2%
0 63
 
3.2%
7 50
 
2.5%
5 49
 
2.5%
8 49
 
2.5%
6 47
 
2.4%
4 46
 
2.3%
12 46
 
2.3%
Other values (259) 1392
70.3%
ValueCountFrequency (%)
0 63
3.2%
1 80
4.0%
2 64
3.2%
3 67
3.4%
4 46
2.3%
5 49
2.5%
6 47
2.4%
7 50
2.5%
8 49
2.5%
9 42
2.1%
ValueCountFrequency (%)
11880 1
0.1%
11464 1
0.1%
10059 1
0.1%
8425 1
0.1%
4348 1
0.1%
3953 1
0.1%
3332 1
0.1%
2538 1
0.1%
2524 1
0.1%
2369 1
0.1%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct273
Distinct (%)14.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean95.403994
Minimum0
Maximum12937
Zeros63
Zeros (%)3.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:38.460370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median24
Q360
95-th percentile237.8
Maximum12937
Range12937
Interquartile range (IQR)52

Descriptive statistics

Standard deviation570.4491
Coefficient of variation (CV)5.9793
Kurtosis357.05077
Mean95.403994
Median Absolute Deviation (MAD)20
Skewness17.807998
Sum186324
Variance325412.18
MonotonicityNot monotonic
2024-04-06T17:49:39.288527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 72
 
3.6%
2 71
 
3.6%
0 63
 
3.2%
3 63
 
3.2%
8 56
 
2.8%
5 53
 
2.7%
4 51
 
2.6%
7 46
 
2.3%
13 41
 
2.1%
12 41
 
2.1%
Other values (263) 1396
70.5%
ValueCountFrequency (%)
0 63
3.2%
1 72
3.6%
2 71
3.6%
3 63
3.2%
4 51
2.6%
5 53
2.7%
6 39
2.0%
7 46
2.3%
8 56
2.8%
9 32
1.6%
ValueCountFrequency (%)
12937 1
0.1%
12736 1
0.1%
10990 1
0.1%
8949 1
0.1%
5017 1
0.1%
4256 1
0.1%
3522 1
0.1%
2944 1
0.1%
2893 1
0.1%
2857 1
0.1%

2022-05
Real number (ℝ)

MISSING  ZEROS 

Distinct285
Distinct (%)14.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean102.70507
Minimum0
Maximum13793
Zeros54
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:39.687289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median26
Q365
95-th percentile247
Maximum13793
Range13793
Interquartile range (IQR)56

Descriptive statistics

Standard deviation610.52468
Coefficient of variation (CV)5.9444455
Kurtosis345.5919
Mean102.70507
Median Absolute Deviation (MAD)21
Skewness17.543576
Sum200583
Variance372740.39
MonotonicityNot monotonic
2024-04-06T17:49:40.105459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70
 
3.5%
2 59
 
3.0%
3 58
 
2.9%
0 54
 
2.7%
4 51
 
2.6%
5 46
 
2.3%
6 44
 
2.2%
11 41
 
2.1%
7 41
 
2.1%
13 40
 
2.0%
Other values (275) 1449
73.1%
ValueCountFrequency (%)
0 54
2.7%
1 70
3.5%
2 59
3.0%
3 58
2.9%
4 51
2.6%
5 46
2.3%
6 44
2.2%
7 41
2.1%
8 40
2.0%
9 32
1.6%
ValueCountFrequency (%)
13793 1
0.1%
13247 1
0.1%
11684 1
0.1%
9891 1
0.1%
5991 1
0.1%
4753 1
0.1%
3841 1
0.1%
3036 2
0.1%
2745 1
0.1%
2104 1
0.1%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct245
Distinct (%)12.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean81.667179
Minimum0
Maximum11362
Zeros62
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:40.510975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median21
Q351
95-th percentile202.2
Maximum11362
Range11362
Interquartile range (IQR)43

Descriptive statistics

Standard deviation487.09302
Coefficient of variation (CV)5.9643669
Kurtosis343.00976
Mean81.667179
Median Absolute Deviation (MAD)17
Skewness17.44591
Sum159496
Variance237259.61
MonotonicityNot monotonic
2024-04-06T17:49:40.831202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 87
 
4.4%
1 66
 
3.3%
3 65
 
3.3%
0 62
 
3.1%
5 56
 
2.8%
4 55
 
2.8%
9 50
 
2.5%
6 48
 
2.4%
13 47
 
2.4%
8 47
 
2.4%
Other values (235) 1370
69.2%
ValueCountFrequency (%)
0 62
3.1%
1 66
3.3%
2 87
4.4%
3 65
3.3%
4 55
2.8%
5 56
2.8%
6 48
2.4%
7 47
2.4%
8 47
2.4%
9 50
2.5%
ValueCountFrequency (%)
11362 1
0.1%
10219 1
0.1%
8859 1
0.1%
8123 1
0.1%
5253 1
0.1%
3660 1
0.1%
2828 1
0.1%
2534 1
0.1%
2208 1
0.1%
2185 1
0.1%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct228
Distinct (%)11.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean64.107527
Minimum0
Maximum8871
Zeros79
Zeros (%)4.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:41.158656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median17
Q339
95-th percentile152.8
Maximum8871
Range8871
Interquartile range (IQR)33

Descriptive statistics

Standard deviation383.01928
Coefficient of variation (CV)5.9746382
Kurtosis343.65028
Mean64.107527
Median Absolute Deviation (MAD)13
Skewness17.477141
Sum125202
Variance146703.77
MonotonicityNot monotonic
2024-04-06T17:49:41.587226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 90
 
4.5%
0 79
 
4.0%
2 77
 
3.9%
3 76
 
3.8%
6 61
 
3.1%
10 61
 
3.1%
9 61
 
3.1%
4 58
 
2.9%
11 58
 
2.9%
8 57
 
2.9%
Other values (218) 1275
64.4%
ValueCountFrequency (%)
0 79
4.0%
1 90
4.5%
2 77
3.9%
3 76
3.8%
4 58
2.9%
5 49
2.5%
6 61
3.1%
7 55
2.8%
8 57
2.9%
9 61
3.1%
ValueCountFrequency (%)
8871 1
0.1%
8167 1
0.1%
6831 1
0.1%
6492 1
0.1%
4089 1
0.1%
2838 1
0.1%
2312 1
0.1%
2038 1
0.1%
1889 1
0.1%
1700 1
0.1%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct219
Distinct (%)11.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean57.637993
Minimum0
Maximum8359
Zeros81
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:42.106932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median15
Q335
95-th percentile144.4
Maximum8359
Range8359
Interquartile range (IQR)29

Descriptive statistics

Standard deviation345.50173
Coefficient of variation (CV)5.9943401
Kurtosis363.09391
Mean57.637993
Median Absolute Deviation (MAD)12
Skewness17.933595
Sum112567
Variance119371.45
MonotonicityNot monotonic
2024-04-06T17:49:42.617673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 100
 
5.0%
3 85
 
4.3%
2 84
 
4.2%
0 81
 
4.1%
8 73
 
3.7%
4 70
 
3.5%
7 62
 
3.1%
9 61
 
3.1%
6 60
 
3.0%
14 58
 
2.9%
Other values (209) 1219
61.5%
ValueCountFrequency (%)
0 81
4.1%
1 100
5.0%
2 84
4.2%
3 85
4.3%
4 70
3.5%
5 58
2.9%
6 60
3.0%
7 62
3.1%
8 73
3.7%
9 61
3.1%
ValueCountFrequency (%)
8359 1
0.1%
7315 1
0.1%
6003 1
0.1%
5914 1
0.1%
3460 1
0.1%
2495 1
0.1%
1985 1
0.1%
1774 1
0.1%
1512 1
0.1%
1364 1
0.1%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct204
Distinct (%)10.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean52.494624
Minimum0
Maximum7342
Zeros89
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:43.098215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median13
Q332
95-th percentile133.4
Maximum7342
Range7342
Interquartile range (IQR)27

Descriptive statistics

Standard deviation315.03769
Coefficient of variation (CV)6.0013325
Kurtosis356.67159
Mean52.494624
Median Absolute Deviation (MAD)10
Skewness17.826577
Sum102522
Variance99248.746
MonotonicityNot monotonic
2024-04-06T17:49:44.219401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 108
 
5.5%
3 95
 
4.8%
0 89
 
4.5%
2 89
 
4.5%
4 85
 
4.3%
8 72
 
3.6%
7 65
 
3.3%
10 65
 
3.3%
6 64
 
3.2%
5 63
 
3.2%
Other values (194) 1158
58.5%
ValueCountFrequency (%)
0 89
4.5%
1 108
5.5%
2 89
4.5%
3 95
4.8%
4 85
4.3%
5 63
3.2%
6 64
3.2%
7 65
3.3%
8 72
3.6%
9 61
3.1%
ValueCountFrequency (%)
7342 1
0.1%
6814 1
0.1%
5640 1
0.1%
5511 1
0.1%
2903 1
0.1%
2361 1
0.1%
1832 1
0.1%
1502 1
0.1%
1462 1
0.1%
1296 1
0.1%

2022-10
Real number (ℝ)

MISSING  ZEROS 

Distinct208
Distinct (%)10.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean52.134665
Minimum0
Maximum7450
Zeros97
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:44.720744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median12
Q332
95-th percentile135
Maximum7450
Range7450
Interquartile range (IQR)27

Descriptive statistics

Standard deviation313.54072
Coefficient of variation (CV)6.0140547
Kurtosis361.27613
Mean52.134665
Median Absolute Deviation (MAD)10
Skewness17.900123
Sum101819
Variance98307.786
MonotonicityNot monotonic
2024-04-06T17:49:45.127923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 101
 
5.1%
4 98
 
4.9%
0 97
 
4.9%
3 95
 
4.8%
1 88
 
4.4%
5 85
 
4.3%
6 77
 
3.9%
9 69
 
3.5%
12 59
 
3.0%
8 56
 
2.8%
Other values (198) 1128
56.9%
ValueCountFrequency (%)
0 97
4.9%
1 88
4.4%
2 101
5.1%
3 95
4.8%
4 98
4.9%
5 85
4.3%
6 77
3.9%
7 51
2.6%
8 56
2.8%
9 69
3.5%
ValueCountFrequency (%)
7450 1
0.1%
6760 1
0.1%
5489 1
0.1%
5436 1
0.1%
2968 1
0.1%
2221 1
0.1%
1849 1
0.1%
1441 1
0.1%
1424 1
0.1%
1226 1
0.1%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct200
Distinct (%)10.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean48.895545
Minimum0
Maximum6926
Zeros92
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:45.580764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median12
Q330
95-th percentile128.4
Maximum6926
Range6926
Interquartile range (IQR)26

Descriptive statistics

Standard deviation295.41765
Coefficient of variation (CV)6.0418112
Kurtosis360.39056
Mean48.895545
Median Absolute Deviation (MAD)9
Skewness17.88317
Sum95493
Variance87271.591
MonotonicityNot monotonic
2024-04-06T17:49:46.006320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 107
 
5.4%
2 107
 
5.4%
4 97
 
4.9%
0 92
 
4.6%
3 92
 
4.6%
5 82
 
4.1%
8 73
 
3.7%
7 70
 
3.5%
6 67
 
3.4%
10 61
 
3.1%
Other values (190) 1105
55.8%
ValueCountFrequency (%)
0 92
4.6%
1 107
5.4%
2 107
5.4%
3 92
4.6%
4 97
4.9%
5 82
4.1%
6 67
3.4%
7 70
3.5%
8 73
3.7%
9 58
2.9%
ValueCountFrequency (%)
6926 1
0.1%
6480 1
0.1%
5374 1
0.1%
4880 1
0.1%
2707 1
0.1%
2059 1
0.1%
1794 1
0.1%
1498 1
0.1%
1479 1
0.1%
1474 1
0.1%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct197
Distinct (%)10.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean46.432156
Minimum0
Maximum6332
Zeros102
Zeros (%)5.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:46.452157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q328
95-th percentile117.4
Maximum6332
Range6332
Interquartile range (IQR)24

Descriptive statistics

Standard deviation279.18509
Coefficient of variation (CV)6.0127531
Kurtosis355.18345
Mean46.432156
Median Absolute Deviation (MAD)9
Skewness17.778914
Sum90682
Variance77944.312
MonotonicityNot monotonic
2024-04-06T17:49:46.890334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 122
 
6.2%
1 113
 
5.7%
3 112
 
5.7%
0 102
 
5.1%
6 80
 
4.0%
4 78
 
3.9%
7 76
 
3.8%
8 71
 
3.6%
5 68
 
3.4%
9 65
 
3.3%
Other values (187) 1066
53.8%
ValueCountFrequency (%)
0 102
5.1%
1 113
5.7%
2 122
6.2%
3 112
5.7%
4 78
3.9%
5 68
3.4%
6 80
4.0%
7 76
3.8%
8 71
3.6%
9 65
3.3%
ValueCountFrequency (%)
6332 1
0.1%
6226 1
0.1%
5340 1
0.1%
4290 1
0.1%
3050 1
0.1%
1706 1
0.1%
1659 1
0.1%
1393 1
0.1%
1339 1
0.1%
1329 1
0.1%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct188
Distinct (%)9.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean41.93958
Minimum0
Maximum5784
Zeros132
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:47.359780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median10
Q326
95-th percentile104
Maximum5784
Range5784
Interquartile range (IQR)23

Descriptive statistics

Standard deviation255.56976
Coefficient of variation (CV)6.0937607
Kurtosis369.71518
Mean41.93958
Median Absolute Deviation (MAD)8
Skewness18.174161
Sum81908
Variance65315.904
MonotonicityNot monotonic
2024-04-06T17:49:47.785293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 142
 
7.2%
2 138
 
7.0%
0 132
 
6.7%
3 107
 
5.4%
4 100
 
5.0%
5 86
 
4.3%
6 71
 
3.6%
7 68
 
3.4%
9 64
 
3.2%
8 54
 
2.7%
Other values (178) 991
50.0%
ValueCountFrequency (%)
0 132
6.7%
1 142
7.2%
2 138
7.0%
3 107
5.4%
4 100
5.0%
5 86
4.3%
6 71
3.6%
7 68
3.4%
8 54
 
2.7%
9 64
3.2%
ValueCountFrequency (%)
5784 1
0.1%
5673 1
0.1%
5225 1
0.1%
4002 1
0.1%
2025 1
0.1%
1691 1
0.1%
1361 1
0.1%
1311 1
0.1%
1293 1
0.1%
1278 1
0.1%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct239
Distinct (%)12.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean67.364567
Minimum0
Maximum9933
Zeros120
Zeros (%)6.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:48.260518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q340
95-th percentile186.4
Maximum9933
Range9933
Interquartile range (IQR)36

Descriptive statistics

Standard deviation432.26504
Coefficient of variation (CV)6.4168012
Kurtosis397.76824
Mean67.364567
Median Absolute Deviation (MAD)12
Skewness18.942981
Sum131563
Variance186853.06
MonotonicityNot monotonic
2024-04-06T17:49:48.688105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 120
 
6.1%
1 107
 
5.4%
2 101
 
5.1%
4 98
 
4.9%
3 79
 
4.0%
5 77
 
3.9%
6 68
 
3.4%
7 54
 
2.7%
8 53
 
2.7%
9 44
 
2.2%
Other values (229) 1152
58.2%
ValueCountFrequency (%)
0 120
6.1%
1 107
5.4%
2 101
5.1%
3 79
4.0%
4 98
4.9%
5 77
3.9%
6 68
3.4%
7 54
2.7%
8 53
2.7%
9 44
 
2.2%
ValueCountFrequency (%)
9933 1
0.1%
9706 1
0.1%
9293 1
0.1%
6498 1
0.1%
2733 1
0.1%
2586 1
0.1%
2580 1
0.1%
2188 1
0.1%
1881 1
0.1%
1438 1
0.1%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct269
Distinct (%)13.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean85.43574
Minimum0
Maximum12397
Zeros92
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:49.119858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median19
Q352
95-th percentile215.8
Maximum12397
Range12397
Interquartile range (IQR)46

Descriptive statistics

Standard deviation544.53271
Coefficient of variation (CV)6.3735938
Kurtosis394.50246
Mean85.43574
Median Absolute Deviation (MAD)16
Skewness18.835721
Sum166856
Variance296515.87
MonotonicityNot monotonic
2024-04-06T17:49:49.561579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 92
 
4.6%
1 91
 
4.6%
2 85
 
4.3%
4 79
 
4.0%
3 76
 
3.8%
8 63
 
3.2%
6 61
 
3.1%
10 60
 
3.0%
5 59
 
3.0%
12 45
 
2.3%
Other values (259) 1242
62.7%
ValueCountFrequency (%)
0 92
4.6%
1 91
4.6%
2 85
4.3%
3 76
3.8%
4 79
4.0%
5 59
3.0%
6 61
3.1%
7 43
2.2%
8 63
3.2%
9 27
 
1.4%
ValueCountFrequency (%)
12397 1
0.1%
12063 1
0.1%
11985 1
0.1%
8012 1
0.1%
3455 1
0.1%
3310 1
0.1%
3186 1
0.1%
2880 1
0.1%
2326 1
0.1%
2240 1
0.1%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct253
Distinct (%)13.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean77.59703
Minimum0
Maximum11233
Zeros83
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:49.987079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median17
Q349
95-th percentile185
Maximum11233
Range11233
Interquartile range (IQR)44

Descriptive statistics

Standard deviation493.87261
Coefficient of variation (CV)6.3645814
Kurtosis388.51967
Mean77.59703
Median Absolute Deviation (MAD)15
Skewness18.70235
Sum151547
Variance243910.16
MonotonicityNot monotonic
2024-04-06T17:49:50.408816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 115
 
5.8%
2 86
 
4.3%
0 83
 
4.2%
3 77
 
3.9%
5 69
 
3.5%
4 64
 
3.2%
6 60
 
3.0%
12 56
 
2.8%
7 54
 
2.7%
10 53
 
2.7%
Other values (243) 1236
62.4%
ValueCountFrequency (%)
0 83
4.2%
1 115
5.8%
2 86
4.3%
3 77
3.9%
4 64
3.2%
5 69
3.5%
6 60
3.0%
7 54
2.7%
8 47
2.4%
9 51
2.6%
ValueCountFrequency (%)
11233 1
0.1%
10825 1
0.1%
10783 1
0.1%
7499 1
0.1%
3190 1
0.1%
3111 1
0.1%
2872 1
0.1%
2638 1
0.1%
2058 1
0.1%
2046 1
0.1%

2023-05
Real number (ℝ)

MISSING  ZEROS 

Distinct278
Distinct (%)14.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean90.347158
Minimum0
Maximum13431
Zeros82
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:50.763453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q16
median20
Q358
95-th percentile225.4
Maximum13431
Range13431
Interquartile range (IQR)52

Descriptive statistics

Standard deviation576.79103
Coefficient of variation (CV)6.3841636
Kurtosis397.98255
Mean90.347158
Median Absolute Deviation (MAD)17
Skewness18.903526
Sum176448
Variance332687.9
MonotonicityNot monotonic
2024-04-06T17:49:51.226221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 99
 
5.0%
2 84
 
4.2%
0 82
 
4.1%
4 74
 
3.7%
5 64
 
3.2%
3 64
 
3.2%
7 62
 
3.1%
6 55
 
2.8%
9 45
 
2.3%
8 44
 
2.2%
Other values (268) 1280
64.6%
ValueCountFrequency (%)
0 82
4.1%
1 99
5.0%
2 84
4.2%
3 64
3.2%
4 74
3.7%
5 64
3.2%
6 55
2.8%
7 62
3.1%
8 44
2.2%
9 45
2.3%
ValueCountFrequency (%)
13431 1
0.1%
12642 1
0.1%
12634 1
0.1%
8297 1
0.1%
3706 1
0.1%
3414 1
0.1%
3394 1
0.1%
3080 1
0.1%
2513 1
0.1%
2245 1
0.1%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct263
Distinct (%)13.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean85.990271
Minimum0
Maximum12645
Zeros103
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:51.599499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median18
Q354
95-th percentile206
Maximum12645
Range12645
Interquartile range (IQR)48

Descriptive statistics

Standard deviation551.01491
Coefficient of variation (CV)6.407875
Kurtosis392.85256
Mean85.990271
Median Absolute Deviation (MAD)16
Skewness18.788547
Sum167939
Variance303617.43
MonotonicityNot monotonic
2024-04-06T17:49:51.960175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 103
 
5.2%
1 100
 
5.0%
2 80
 
4.0%
4 78
 
3.9%
5 73
 
3.7%
7 65
 
3.3%
6 55
 
2.8%
3 52
 
2.6%
8 48
 
2.4%
14 45
 
2.3%
Other values (253) 1254
63.3%
ValueCountFrequency (%)
0 103
5.2%
1 100
5.0%
2 80
4.0%
3 52
2.6%
4 78
3.9%
5 73
3.7%
6 55
2.8%
7 65
3.3%
8 48
2.4%
9 40
 
2.0%
ValueCountFrequency (%)
12645 1
0.1%
12413 1
0.1%
11718 1
0.1%
8149 1
0.1%
3636 1
0.1%
3376 1
0.1%
3141 1
0.1%
2973 1
0.1%
2278 1
0.1%
2248 1
0.1%

2023-07
Real number (ℝ)

MISSING  ZEROS 

Distinct257
Distinct (%)13.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean78.716846
Minimum0
Maximum11669
Zeros106
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:52.343771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median17
Q350
95-th percentile194.4
Maximum11669
Range11669
Interquartile range (IQR)45

Descriptive statistics

Standard deviation506.69507
Coefficient of variation (CV)6.4369332
Kurtosis394.65323
Mean78.716846
Median Absolute Deviation (MAD)15
Skewness18.833687
Sum153734
Variance256739.9
MonotonicityNot monotonic
2024-04-06T17:49:52.844638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 108
 
5.5%
0 106
 
5.4%
1 99
 
5.0%
3 80
 
4.0%
7 70
 
3.5%
4 65
 
3.3%
5 60
 
3.0%
8 49
 
2.5%
6 48
 
2.4%
10 47
 
2.4%
Other values (247) 1221
61.6%
ValueCountFrequency (%)
0 106
5.4%
1 99
5.0%
2 108
5.5%
3 80
4.0%
4 65
3.3%
5 60
3.0%
6 48
2.4%
7 70
3.5%
8 49
2.5%
9 40
 
2.0%
ValueCountFrequency (%)
11669 1
0.1%
11428 1
0.1%
10772 1
0.1%
7436 1
0.1%
3378 1
0.1%
3001 1
0.1%
2971 1
0.1%
2758 1
0.1%
2186 1
0.1%
1901 1
0.1%

2023-08
Real number (ℝ)

MISSING  ZEROS 

Distinct260
Distinct (%)13.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean84.350742
Minimum0
Maximum12511
Zeros91
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:53.206856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median18
Q353
95-th percentile201
Maximum12511
Range12511
Interquartile range (IQR)48

Descriptive statistics

Standard deviation542.07451
Coefficient of variation (CV)6.4264344
Kurtosis394.00093
Mean84.350742
Median Absolute Deviation (MAD)15
Skewness18.82716
Sum164737
Variance293844.78
MonotonicityNot monotonic
2024-04-06T17:49:53.524231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 112
 
5.7%
0 91
 
4.6%
2 85
 
4.3%
3 82
 
4.1%
4 80
 
4.0%
6 60
 
3.0%
7 59
 
3.0%
5 54
 
2.7%
9 46
 
2.3%
8 43
 
2.2%
Other values (250) 1241
62.6%
ValueCountFrequency (%)
0 91
4.6%
1 112
5.7%
2 85
4.3%
3 82
4.1%
4 80
4.0%
5 54
2.7%
6 60
3.0%
7 59
3.0%
8 43
 
2.2%
9 46
2.3%
ValueCountFrequency (%)
12511 1
0.1%
12214 1
0.1%
11429 1
0.1%
8133 1
0.1%
3544 1
0.1%
3232 1
0.1%
3108 1
0.1%
2880 1
0.1%
2282 1
0.1%
1915 1
0.1%

2023-09
Real number (ℝ)

MISSING  ZEROS 

Distinct254
Distinct (%)13.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean80.888377
Minimum0
Maximum12113
Zeros89
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:53.868339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median17
Q351
95-th percentile193
Maximum12113
Range12113
Interquartile range (IQR)46

Descriptive statistics

Standard deviation522.31813
Coefficient of variation (CV)6.4572705
Kurtosis393.72056
Mean80.888377
Median Absolute Deviation (MAD)15
Skewness18.825092
Sum157975
Variance272816.23
MonotonicityNot monotonic
2024-04-06T17:49:54.897993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 120
 
6.1%
2 99
 
5.0%
3 94
 
4.7%
0 89
 
4.5%
4 73
 
3.7%
5 69
 
3.5%
6 56
 
2.8%
8 48
 
2.4%
12 46
 
2.3%
7 44
 
2.2%
Other values (244) 1215
61.3%
ValueCountFrequency (%)
0 89
4.5%
1 120
6.1%
2 99
5.0%
3 94
4.7%
4 73
3.7%
5 69
3.5%
6 56
2.8%
7 44
 
2.2%
8 48
 
2.4%
9 33
 
1.7%
ValueCountFrequency (%)
12113 1
0.1%
11542 1
0.1%
11205 1
0.1%
7789 1
0.1%
3291 1
0.1%
3126 1
0.1%
3122 1
0.1%
2939 1
0.1%
2279 1
0.1%
2008 1
0.1%

2023-10
Real number (ℝ)

MISSING  ZEROS 

Distinct249
Distinct (%)12.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean77.970302
Minimum0
Maximum11319
Zeros92
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:55.372014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median18
Q351
95-th percentile186.6
Maximum11319
Range11319
Interquartile range (IQR)46

Descriptive statistics

Standard deviation493.81141
Coefficient of variation (CV)6.3333269
Kurtosis390.52976
Mean77.970302
Median Absolute Deviation (MAD)15
Skewness18.768297
Sum152276
Variance243849.71
MonotonicityNot monotonic
2024-04-06T17:49:55.763839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 115
 
5.8%
0 92
 
4.6%
3 85
 
4.3%
1 81
 
4.1%
4 68
 
3.4%
6 60
 
3.0%
5 58
 
2.9%
8 57
 
2.9%
7 50
 
2.5%
11 50
 
2.5%
Other values (239) 1237
62.4%
ValueCountFrequency (%)
0 92
4.6%
1 81
4.1%
2 115
5.8%
3 85
4.3%
4 68
3.4%
5 58
2.9%
6 60
3.0%
7 50
2.5%
8 57
2.9%
9 43
 
2.2%
ValueCountFrequency (%)
11319 1
0.1%
11139 1
0.1%
10270 1
0.1%
7770 1
0.1%
3507 1
0.1%
2764 1
0.1%
2643 1
0.1%
2527 1
0.1%
2139 1
0.1%
1684 1
0.1%

2023-11
Real number (ℝ)

MISSING  ZEROS 

Distinct248
Distinct (%)12.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean73.764977
Minimum0
Maximum10721
Zeros89
Zeros (%)4.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:56.154963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median17
Q348
95-th percentile173.4
Maximum10721
Range10721
Interquartile range (IQR)43

Descriptive statistics

Standard deviation468.40659
Coefficient of variation (CV)6.3499863
Kurtosis395.70949
Mean73.764977
Median Absolute Deviation (MAD)14
Skewness18.909517
Sum144063
Variance219404.74
MonotonicityNot monotonic
2024-04-06T17:49:56.593235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 96
 
4.8%
1 93
 
4.7%
0 89
 
4.5%
3 81
 
4.1%
4 76
 
3.8%
5 64
 
3.2%
7 61
 
3.1%
6 56
 
2.8%
8 54
 
2.7%
13 46
 
2.3%
Other values (238) 1237
62.4%
ValueCountFrequency (%)
0 89
4.5%
1 93
4.7%
2 96
4.8%
3 81
4.1%
4 76
3.8%
5 64
3.2%
6 56
2.8%
7 61
3.1%
8 54
2.7%
9 43
2.2%
ValueCountFrequency (%)
10721 1
0.1%
10665 1
0.1%
9752 1
0.1%
7442 1
0.1%
2935 1
0.1%
2493 1
0.1%
2370 1
0.1%
2355 1
0.1%
2132 1
0.1%
1768 1
0.1%

2023-12
Real number (ℝ)

MISSING  ZEROS 

Distinct222
Distinct (%)11.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean62.106503
Minimum0
Maximum8821
Zeros96
Zeros (%)4.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:56.953320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q15
median14
Q338
95-th percentile151.4
Maximum8821
Range8821
Interquartile range (IQR)33

Descriptive statistics

Standard deviation386.21877
Coefficient of variation (CV)6.2186526
Kurtosis390.34594
Mean62.106503
Median Absolute Deviation (MAD)12
Skewness18.734792
Sum121294
Variance149164.94
MonotonicityNot monotonic
2024-04-06T17:49:57.447965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 119
 
6.0%
1 113
 
5.7%
0 96
 
4.8%
3 76
 
3.8%
4 68
 
3.4%
6 68
 
3.4%
7 65
 
3.3%
5 61
 
3.1%
8 57
 
2.9%
10 54
 
2.7%
Other values (212) 1176
59.4%
ValueCountFrequency (%)
0 96
4.8%
1 113
5.7%
2 119
6.0%
3 76
3.8%
4 68
3.4%
5 61
3.1%
6 68
3.4%
7 65
3.3%
8 57
2.9%
9 48
2.4%
ValueCountFrequency (%)
8821 1
0.1%
8694 1
0.1%
8137 1
0.1%
5997 1
0.1%
2529 1
0.1%
2013 1
0.1%
1994 1
0.1%
1926 1
0.1%
1845 1
0.1%
1805 1
0.1%

2024-01
Real number (ℝ)

ZEROS 

Distinct235
Distinct (%)11.9%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean69.727457
Minimum0
Maximum10099
Zeros104
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:49:57.829498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median16
Q346
95-th percentile167.7
Maximum10099
Range10099
Interquartile range (IQR)41

Descriptive statistics

Standard deviation445.53779
Coefficient of variation (CV)6.3897038
Kurtosis397.15054
Mean69.727457
Median Absolute Deviation (MAD)14
Skewness18.971048
Sum137642
Variance198503.93
MonotonicityNot monotonic
2024-04-06T17:49:58.235781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 104
 
5.2%
2 103
 
5.2%
1 95
 
4.8%
3 92
 
4.6%
4 80
 
4.0%
7 64
 
3.2%
5 63
 
3.2%
8 62
 
3.1%
10 59
 
3.0%
6 58
 
2.9%
Other values (225) 1194
60.3%
ValueCountFrequency (%)
0 104
5.2%
1 95
4.8%
2 103
5.2%
3 92
4.6%
4 80
4.0%
5 63
3.2%
6 58
2.9%
7 64
3.2%
8 62
3.1%
9 39
 
2.0%
ValueCountFrequency (%)
10099 1
0.1%
9902 1
0.1%
9783 1
0.1%
7117 1
0.1%
2974 1
0.1%
2585 1
0.1%
2321 1
0.1%
2283 1
0.1%
1801 1
0.1%
1569 1
0.1%

Sample

주택매매거래2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국 /20대이하2324194922752482243523742973279228443534397753114507494446923141346059816723383240865072634891335637512056265556614553085502576852334807445838682716268833323522384128282312198518321849179417061361188123262058251322482186228222792139213218451801
1전국 /30대99868909968510752108771040813529139891328917226195452485922035247752097113455152662799130033191551822620365263803400520574191752115618727201961782718839192101758914660127269992795682751005910990116848859683160035640543653745340522597061206310783126421241311669125111154210270975281379783
2전국 /40대129311112412871142871403913793168841695516449220912518632737275093035726228174911945534521358052087920610235953111135662218332114924054210792190920315200232032118307172391477311284895492001146412736132471021981677315681467606480622656739933123971123313431126451142812214121131131910665882110099
3전국 /50대11120100731224913817134051275315616150771456718510200722495721425248442425116647181562927230044177471723119266241362737418017184322182620063203541847717771172991545714780135761078087679403118801293713793113628871835973427450692663325784929311985108251263411718107721142911205111391072186949902
4전국 /60대664360747556828879627538890993488521108351157114341128101530215358106481149918254193571201011666131851602218705127081269615842144421419513026125831229611067110921005976596417673284258949989181236492591455115489488042904002649880127499829781497436813377897770744259977117
5전국 /70대이상2797251233703477342932533884380336584721495860185434631862464506493777278890578856226261735385275786610278517013713461845900577952485379470336212927312839534256475336602838249523612221205916591691258033103111341431412971310831263507293525292974
6전국 /기타448528033351392249564774555445424760547671041019276148724109317643107211483210567586144875025540868756124434757546188759177858319838487307333686465703972375343485017599152534089346029032968270730502025130022402046224522781708190113941655176820131357
7서울 /20대이하26319225428632633348547542955564894175572569542043495413756335837005871056759801649731890907822834734725713582443407424542638458400303312225202211156211239261302285308329331268283244221
8서울 /30대102690210031248153416122717326629333456407050544006419138061758208648106908370227722785248547143467325627972613325827292942287824981860166812801032100610761355163711968627026385314484805199651432142117301796169819011776140111739841176
9서울 /40대1298102411941586182720943135352229643582451756984240394637031864225445586615341524002370222236872571284224242469277423872370244420461729146811958218689201158148211518837285944554344895149441271126415631669152516561677134411599161146
주택매매거래2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
1971제주 제주시/60대8036535938464465575863706955923840608960586676102857010210910110660638162667793727076875249705351376747399235334238523856825667
1972제주 제주시/70대이상18149121911202117151923192416151120332616132538253632283141231626362621231726282522171728131862210211018817171117111922
1973제주 제주시/기타40114268126505932323053100384598142708910120323010311931323031783525381625632519303431363056131714331081416154776421328198
1974제주 서귀포시/20대이하786684457559661159868121017121191917131125996869610717113910866551018953486397
1975제주 서귀포시/30대25282421261221242028152532302432283044214238566260575357525037504244454444414457513832333226301627254456364021262816432330
1976제주 서귀포시/40대564338354541494428423148545335354148634763669511710210589106791001109676669067788096851017054534725353028435176694944283838553238
1977제주 서귀포시/50대532739456935432821384947595255425264624952795668108828576648377535256486267507666957535273044472424317888634545393530262944
1978제주 서귀포시/60대24212128261721172121163018343027262431353336345258365541444649282733392936295140453234333520201815362243342527222026282736
1979제주 서귀포시/70대이상11610964325596129135814199101014252420222714234188111717158201415106101891210561320217610513959
1980제주 서귀포시/기타131023212114202320302145662716213315566113831219101424602816132120257010107221537101469117416871228111718783