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(면적) 데이터입니다.- (단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068298/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
지역 및 매입자연령대 has unique valuesUnique
2019-01 has 528 (26.7%) zerosZeros
2019-02 has 587 (29.6%) zerosZeros
2019-03 has 492 (24.8%) zerosZeros
2019-04 has 464 (23.4%) zerosZeros
2019-05 has 460 (23.2%) zerosZeros
2019-06 has 506 (25.5%) zerosZeros
2019-07 has 456 (23.0%) zerosZeros
2019-08 has 480 (24.2%) zerosZeros
2019-09 has 487 (24.6%) zerosZeros
2019-10 has 413 (20.8%) zerosZeros
2019-11 has 424 (21.4%) zerosZeros
2019-12 has 370 (18.7%) zerosZeros
2020-01 has 437 (22.1%) zerosZeros
2020-02 has 383 (19.3%) zerosZeros
2020-03 has 368 (18.6%) zerosZeros
2020-04 has 398 (20.1%) zerosZeros
2020-05 has 394 (19.9%) zerosZeros
2020-06 has 339 (17.1%) zerosZeros
2020-07 has 304 (15.3%) zerosZeros
2020-08 has 375 (18.9%) zerosZeros
2020-09 has 398 (20.1%) zerosZeros
2020-10 has 397 (20.0%) zerosZeros
2020-11 has 356 (18.0%) zerosZeros
2020-12 has 318 (16.1%) zerosZeros
2021-01 has 404 (20.4%) zerosZeros
2021-02 has 420 (21.2%) zerosZeros
2021-03 has 317 (16.0%) zerosZeros
2021-04 has 327 (16.5%) zerosZeros
2021-05 has 324 (16.4%) zerosZeros
2021-06 has 351 (17.7%) zerosZeros
2021-07 has 352 (17.8%) zerosZeros
2021-08 has 368 (18.6%) zerosZeros
2021-09 has 405 (20.4%) zerosZeros
2021-10 has 377 (19.0%) zerosZeros
2021-11 has 387 (19.5%) zerosZeros
2021-12 has 406 (20.5%) zerosZeros
2022-01 has 499 (25.2%) zerosZeros
2022-02 has 507 (25.6%) zerosZeros
2022-03 has 418 (21.1%) zerosZeros
2022-04 has 418 (21.1%) zerosZeros
2022-05 has 377 (19.0%) zerosZeros
2022-06 has 443 (22.4%) zerosZeros
2022-07 has 508 (25.6%) zerosZeros
2022-08 has 550 (27.8%) zerosZeros
2022-09 has 594 (30.0%) zerosZeros
2022-10 has 637 (32.2%) zerosZeros
2022-11 has 672 (33.9%) zerosZeros
2022-12 has 706 (35.6%) zerosZeros
2023-01 has 795 (40.1%) zerosZeros
2023-02 has 658 (33.2%) zerosZeros
2023-03 has 530 (26.8%) zerosZeros
2023-04 has 566 (28.6%) zerosZeros
2023-05 has 531 (26.8%) zerosZeros
2023-06 has 536 (27.1%) zerosZeros
2023-07 has 564 (28.5%) zerosZeros
2023-08 has 556 (28.1%) zerosZeros
2023-09 has 585 (29.5%) zerosZeros
2023-10 has 562 (28.4%) zerosZeros
2023-11 has 557 (28.1%) zerosZeros
2023-12 has 605 (30.5%) zerosZeros
2024-01 has 615 (31.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:46:57.061554
Analysis finished2024-04-06 08:46:58.766895
Duration1.71 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역 및 매입자연령대
Text

UNIQUE 

Distinct1981
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size15.6 KiB
2024-04-06T17:46:59.200941image/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%
2024-04-06T17:47:00.340940image/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 

Distinct73
Distinct (%)3.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.6446493
Minimum0
Maximum1076
Zeros528
Zeros (%)26.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:00.868940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile17
Maximum1076
Range1076
Interquartile range (IQR)4

Descriptive statistics

Standard deviation41.938659
Coefficient of variation (CV)6.3116438
Kurtosis409.82447
Mean6.6446493
Median Absolute Deviation (MAD)1
Skewness18.948311
Sum12977
Variance1758.8511
MonotonicityNot monotonic
2024-04-06T17:47:01.339427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 528
26.7%
1 460
23.2%
2 239
12.1%
3 175
 
8.8%
4 123
 
6.2%
5 66
 
3.3%
6 50
 
2.5%
7 50
 
2.5%
8 41
 
2.1%
9 27
 
1.4%
Other values (63) 194
 
9.8%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 528
26.7%
1 460
23.2%
2 239
12.1%
3 175
 
8.8%
4 123
 
6.2%
5 66
 
3.3%
6 50
 
2.5%
7 50
 
2.5%
8 41
 
2.1%
9 27
 
1.4%
ValueCountFrequency (%)
1076 1
0.1%
930 1
0.1%
760 1
0.1%
553 1
0.1%
415 1
0.1%
271 1
0.1%
226 1
0.1%
224 1
0.1%
195 1
0.1%
151 1
0.1%

2019-02
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)3.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.6344086
Minimum0
Maximum903
Zeros587
Zeros (%)29.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:01.812951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile14
Maximum903
Range903
Interquartile range (IQR)4

Descriptive statistics

Standard deviation35.96984
Coefficient of variation (CV)6.3839602
Kurtosis424.13438
Mean5.6344086
Median Absolute Deviation (MAD)1
Skewness19.400365
Sum11004
Variance1293.8294
MonotonicityNot monotonic
2024-04-06T17:47:02.214446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 587
29.6%
1 485
24.5%
2 244
12.3%
3 140
 
7.1%
4 97
 
4.9%
5 83
 
4.2%
6 58
 
2.9%
7 43
 
2.2%
9 32
 
1.6%
8 28
 
1.4%
Other values (57) 156
 
7.9%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 587
29.6%
1 485
24.5%
2 244
12.3%
3 140
 
7.1%
4 97
 
4.9%
5 83
 
4.2%
6 58
 
2.9%
7 43
 
2.2%
8 28
 
1.4%
9 32
 
1.6%
ValueCountFrequency (%)
903 1
0.1%
834 1
0.1%
677 1
0.1%
502 1
0.1%
236 1
0.1%
217 1
0.1%
195 1
0.1%
186 1
0.1%
161 1
0.1%
131 1
0.1%

2019-03
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)3.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.8033794
Minimum0
Maximum1036
Zeros492
Zeros (%)24.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:02.607509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile17
Maximum1036
Range1036
Interquartile range (IQR)4

Descriptive statistics

Standard deviation42.433147
Coefficient of variation (CV)6.237069
Kurtosis398.49455
Mean6.8033794
Median Absolute Deviation (MAD)2
Skewness18.705266
Sum13287
Variance1800.572
MonotonicityNot monotonic
2024-04-06T17:47:03.083766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 492
24.8%
1 474
23.9%
2 237
12.0%
3 170
 
8.6%
4 126
 
6.4%
5 89
 
4.5%
6 59
 
3.0%
7 48
 
2.4%
8 42
 
2.1%
9 29
 
1.5%
Other values (62) 187
 
9.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 492
24.8%
1 474
23.9%
2 237
12.0%
3 170
 
8.6%
4 126
 
6.4%
5 89
 
4.5%
6 59
 
3.0%
7 48
 
2.4%
8 42
 
2.1%
9 29
 
1.5%
ValueCountFrequency (%)
1036 1
0.1%
998 1
0.1%
728 1
0.1%
622 1
0.1%
345 1
0.1%
331 1
0.1%
248 1
0.1%
234 1
0.1%
175 1
0.1%
148 1
0.1%

2019-04
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)3.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.5253456
Minimum0
Maximum1175
Zeros464
Zeros (%)23.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:04.079676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile20.4
Maximum1175
Range1175
Interquartile range (IQR)4

Descriptive statistics

Standard deviation47.413332
Coefficient of variation (CV)6.3004857
Kurtosis416.31519
Mean7.5253456
Median Absolute Deviation (MAD)2
Skewness19.13334
Sum14697
Variance2248.0241
MonotonicityNot monotonic
2024-04-06T17:47:04.510473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 468
23.6%
0 464
23.4%
2 245
12.4%
3 151
 
7.6%
4 122
 
6.2%
5 99
 
5.0%
6 54
 
2.7%
7 52
 
2.6%
8 47
 
2.4%
9 33
 
1.7%
Other values (67) 218
11.0%
ValueCountFrequency (%)
0 464
23.4%
1 468
23.6%
2 245
12.4%
3 151
 
7.6%
4 122
 
6.2%
5 99
 
5.0%
6 54
 
2.7%
7 52
 
2.6%
8 47
 
2.4%
9 33
 
1.7%
ValueCountFrequency (%)
1175 1
0.1%
1131 1
0.1%
820 1
0.1%
675 1
0.1%
386 1
0.1%
281 1
0.1%
273 1
0.1%
265 1
0.1%
203 1
0.1%
163 1
0.1%

2019-05
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)3.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.4915515
Minimum0
Maximum1156
Zeros460
Zeros (%)23.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:04.947314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile20
Maximum1156
Range1156
Interquartile range (IQR)4

Descriptive statistics

Standard deviation47.224688
Coefficient of variation (CV)6.303726
Kurtosis406.37088
Mean7.4915515
Median Absolute Deviation (MAD)2
Skewness18.899482
Sum14631
Variance2230.1712
MonotonicityNot monotonic
2024-04-06T17:47:05.440883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 477
24.1%
0 460
23.2%
2 216
10.9%
3 151
 
7.6%
4 123
 
6.2%
5 112
 
5.7%
6 74
 
3.7%
7 54
 
2.7%
8 40
 
2.0%
9 39
 
2.0%
Other values (64) 207
10.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 460
23.2%
1 477
24.1%
2 216
10.9%
3 151
 
7.6%
4 123
 
6.2%
5 112
 
5.7%
6 74
 
3.7%
7 54
 
2.7%
8 40
 
2.0%
9 39
 
2.0%
ValueCountFrequency (%)
1156 1
0.1%
1121 1
0.1%
831 1
0.1%
656 1
0.1%
417 1
0.1%
293 1
0.1%
272 1
0.1%
271 1
0.1%
212 1
0.1%
159 1
0.1%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)3.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.2196621
Minimum0
Maximum1147
Zeros506
Zeros (%)25.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:05.989576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile19
Maximum1147
Range1147
Interquartile range (IQR)5

Descriptive statistics

Standard deviation45.691683
Coefficient of variation (CV)6.3287842
Kurtosis407.08181
Mean7.2196621
Median Absolute Deviation (MAD)2
Skewness18.873437
Sum14100
Variance2087.7299
MonotonicityNot monotonic
2024-04-06T17:47:06.417222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 506
25.5%
1 451
22.8%
2 208
10.5%
3 140
 
7.1%
4 124
 
6.3%
5 108
 
5.5%
6 77
 
3.9%
7 71
 
3.6%
9 40
 
2.0%
8 28
 
1.4%
Other values (63) 200
 
10.1%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 506
25.5%
1 451
22.8%
2 208
10.5%
3 140
 
7.1%
4 124
 
6.3%
5 108
 
5.5%
6 77
 
3.9%
7 71
 
3.6%
8 28
 
1.4%
9 40
 
2.0%
ValueCountFrequency (%)
1147 1
0.1%
1056 1
0.1%
800 1
0.1%
618 1
0.1%
417 1
0.1%
286 1
0.1%
269 1
0.1%
256 1
0.1%
210 1
0.1%
160 1
0.1%

2019-07
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)4.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean8.8172043
Minimum0
Maximum1390
Zeros456
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:06.846545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile22
Maximum1390
Range1390
Interquartile range (IQR)5

Descriptive statistics

Standard deviation55.99031
Coefficient of variation (CV)6.3501205
Kurtosis401.12173
Mean8.8172043
Median Absolute Deviation (MAD)2
Skewness18.738709
Sum17220
Variance3134.9148
MonotonicityNot monotonic
2024-04-06T17:47:07.244737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 456
23.0%
1 419
21.2%
2 231
11.7%
3 137
 
6.9%
4 120
 
6.1%
5 80
 
4.0%
6 71
 
3.6%
7 68
 
3.4%
8 55
 
2.8%
9 48
 
2.4%
Other values (72) 268
13.5%
ValueCountFrequency (%)
0 456
23.0%
1 419
21.2%
2 231
11.7%
3 137
 
6.9%
4 120
 
6.1%
5 80
 
4.0%
6 71
 
3.6%
7 68
 
3.4%
8 55
 
2.8%
9 48
 
2.4%
ValueCountFrequency (%)
1390 1
0.1%
1282 1
0.1%
1032 1
0.1%
729 1
0.1%
491 1
0.1%
355 1
0.1%
308 1
0.1%
307 1
0.1%
266 1
0.1%
244 1
0.1%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)4.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean8.7378392
Minimum0
Maximum1388
Zeros480
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:07.711465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile21
Maximum1388
Range1388
Interquartile range (IQR)5

Descriptive statistics

Standard deviation56.09557
Coefficient of variation (CV)6.4198446
Kurtosis396.76297
Mean8.7378392
Median Absolute Deviation (MAD)2
Skewness18.67484
Sum17065
Variance3146.713
MonotonicityNot monotonic
2024-04-06T17:47:08.179597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 480
24.2%
1 409
20.6%
2 218
11.0%
3 154
 
7.8%
4 110
 
5.6%
5 80
 
4.0%
6 66
 
3.3%
9 57
 
2.9%
7 53
 
2.7%
8 53
 
2.7%
Other values (68) 273
13.8%
ValueCountFrequency (%)
0 480
24.2%
1 409
20.6%
2 218
11.0%
3 154
 
7.8%
4 110
 
5.6%
5 80
 
4.0%
6 66
 
3.3%
7 53
 
2.7%
8 53
 
2.7%
9 57
 
2.9%
ValueCountFrequency (%)
1388 1
0.1%
1255 1
0.1%
1070 1
0.1%
766 1
0.1%
413 1
0.1%
360 1
0.1%
306 1
0.1%
302 1
0.1%
281 1
0.1%
268 1
0.1%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)4.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean8.4623656
Minimum0
Maximum1378
Zeros487
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:08.574812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile21
Maximum1378
Range1378
Interquartile range (IQR)4

Descriptive statistics

Standard deviation54.221887
Coefficient of variation (CV)6.4074149
Kurtosis408.24233
Mean8.4623656
Median Absolute Deviation (MAD)2
Skewness18.888338
Sum16527
Variance2940.0131
MonotonicityNot monotonic
2024-04-06T17:47:08.980612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 487
24.6%
1 424
21.4%
2 199
10.0%
3 151
 
7.6%
4 117
 
5.9%
5 96
 
4.8%
7 63
 
3.2%
6 57
 
2.9%
8 56
 
2.8%
9 50
 
2.5%
Other values (68) 253
12.8%
ValueCountFrequency (%)
0 487
24.6%
1 424
21.4%
2 199
10.0%
3 151
 
7.6%
4 117
 
5.9%
5 96
 
4.8%
6 57
 
2.9%
7 63
 
3.2%
8 56
 
2.8%
9 50
 
2.5%
ValueCountFrequency (%)
1378 1
0.1%
1205 1
0.1%
1023 1
0.1%
692 1
0.1%
424 1
0.1%
366 1
0.1%
297 1
0.1%
293 1
0.1%
262 1
0.1%
245 1
0.1%

2019-10
Real number (ℝ)

MISSING  ZEROS 

Distinct82
Distinct (%)4.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.804916
Minimum0
Maximum1837
Zeros413
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:09.370132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile29
Maximum1837
Range1837
Interquartile range (IQR)6

Descriptive statistics

Standard deviation69.842639
Coefficient of variation (CV)6.463969
Kurtosis427.44624
Mean10.804916
Median Absolute Deviation (MAD)2
Skewness19.305948
Sum21102
Variance4877.9942
MonotonicityNot monotonic
2024-04-06T17:47:09.777102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
20.8%
1 384
19.4%
2 232
11.7%
3 153
 
7.7%
4 89
 
4.5%
5 86
 
4.3%
6 79
 
4.0%
8 60
 
3.0%
7 58
 
2.9%
9 51
 
2.6%
Other values (72) 348
17.6%
ValueCountFrequency (%)
0 413
20.8%
1 384
19.4%
2 232
11.7%
3 153
 
7.7%
4 89
 
4.5%
5 86
 
4.3%
6 79
 
4.0%
7 58
 
2.9%
8 60
 
3.0%
9 51
 
2.6%
ValueCountFrequency (%)
1837 1
0.1%
1520 1
0.1%
1316 1
0.1%
871 1
0.1%
505 1
0.1%
472 1
0.1%
397 1
0.1%
364 1
0.1%
353 1
0.1%
278 1
0.1%

2019-11
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)4.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean12.292883
Minimum0
Maximum2125
Zeros424
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:10.203276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile31
Maximum2125
Range2125
Interquartile range (IQR)7

Descriptive statistics

Standard deviation79.789543
Coefficient of variation (CV)6.4907105
Kurtosis429.07452
Mean12.292883
Median Absolute Deviation (MAD)2
Skewness19.277556
Sum24008
Variance6366.3711
MonotonicityNot monotonic
2024-04-06T17:47:10.574529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 424
21.4%
1 371
18.7%
2 224
11.3%
3 123
 
6.2%
4 108
 
5.5%
5 65
 
3.3%
6 64
 
3.2%
8 60
 
3.0%
7 55
 
2.8%
12 43
 
2.2%
Other values (86) 416
21.0%
ValueCountFrequency (%)
0 424
21.4%
1 371
18.7%
2 224
11.3%
3 123
 
6.2%
4 108
 
5.5%
5 65
 
3.3%
6 64
 
3.2%
7 55
 
2.8%
8 60
 
3.0%
9 41
 
2.1%
ValueCountFrequency (%)
2125 1
0.1%
1690 1
0.1%
1518 1
0.1%
946 1
0.1%
601 1
0.1%
566 1
0.1%
445 1
0.1%
413 1
0.1%
393 1
0.1%
366 1
0.1%

2019-12
Real number (ℝ)

MISSING  ZEROS 

Distinct111
Distinct (%)5.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean15.752688
Minimum0
Maximum2735
Zeros370
Zeros (%)18.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:10.938180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile43
Maximum2735
Range2735
Interquartile range (IQR)9

Descriptive statistics

Standard deviation101.71955
Coefficient of variation (CV)6.4572822
Kurtosis428.97965
Mean15.752688
Median Absolute Deviation (MAD)3
Skewness19.23085
Sum30765
Variance10346.868
MonotonicityNot monotonic
2024-04-06T17:47:11.337233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 370
18.7%
1 334
16.9%
2 196
 
9.9%
3 146
 
7.4%
4 108
 
5.5%
5 78
 
3.9%
6 64
 
3.2%
7 52
 
2.6%
9 48
 
2.4%
8 48
 
2.4%
Other values (101) 509
25.7%
ValueCountFrequency (%)
0 370
18.7%
1 334
16.9%
2 196
9.9%
3 146
 
7.4%
4 108
 
5.5%
5 78
 
3.9%
6 64
 
3.2%
7 52
 
2.6%
8 48
 
2.4%
9 48
 
2.4%
ValueCountFrequency (%)
2735 1
0.1%
2094 1
0.1%
1941 1
0.1%
1185 1
0.1%
808 1
0.1%
792 1
0.1%
565 1
0.1%
530 1
0.1%
480 1
0.1%
462 1
0.1%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct102
Distinct (%)5.2%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean13.543779
Minimum0
Maximum2312
Zeros437
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:11.775310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile35
Maximum2312
Range2312
Interquartile range (IQR)8

Descriptive statistics

Standard deviation87.708103
Coefficient of variation (CV)6.475896
Kurtosis416.06018
Mean13.543779
Median Absolute Deviation (MAD)3
Skewness18.999092
Sum26451
Variance7692.7113
MonotonicityNot monotonic
2024-04-06T17:47:12.160981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 437
22.1%
1 337
17.0%
2 195
9.8%
3 134
 
6.8%
4 102
 
5.1%
5 72
 
3.6%
6 66
 
3.3%
7 56
 
2.8%
9 54
 
2.7%
8 51
 
2.6%
Other values (92) 449
22.7%
ValueCountFrequency (%)
0 437
22.1%
1 337
17.0%
2 195
9.8%
3 134
 
6.8%
4 102
 
5.1%
5 72
 
3.6%
6 66
 
3.3%
7 56
 
2.8%
8 51
 
2.6%
9 54
 
2.7%
ValueCountFrequency (%)
2312 1
0.1%
1803 1
0.1%
1707 1
0.1%
1079 1
0.1%
724 1
0.1%
586 1
0.1%
555 1
0.1%
526 1
0.1%
425 1
0.1%
341 1
0.1%

2020-02
Real number (ℝ)

MISSING  ZEROS 

Distinct106
Distinct (%)5.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean15.294931
Minimum0
Maximum2520
Zeros383
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:12.756291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310
95-th percentile41
Maximum2520
Range2520
Interquartile range (IQR)9

Descriptive statistics

Standard deviation98.276115
Coefficient of variation (CV)6.4254043
Kurtosis390.79825
Mean15.294931
Median Absolute Deviation (MAD)3
Skewness18.424613
Sum29871
Variance9658.1947
MonotonicityNot monotonic
2024-04-06T17:47:13.638996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
19.3%
1 350
17.7%
2 185
 
9.3%
3 153
 
7.7%
4 82
 
4.1%
5 78
 
3.9%
7 63
 
3.2%
6 59
 
3.0%
8 58
 
2.9%
9 48
 
2.4%
Other values (96) 494
24.9%
ValueCountFrequency (%)
0 383
19.3%
1 350
17.7%
2 185
9.3%
3 153
 
7.7%
4 82
 
4.1%
5 78
 
3.9%
6 59
 
3.0%
7 63
 
3.2%
8 58
 
2.9%
9 48
 
2.4%
ValueCountFrequency (%)
2520 1
0.1%
2031 1
0.1%
1878 1
0.1%
1247 1
0.1%
871 1
0.1%
726 1
0.1%
684 1
0.1%
667 1
0.1%
491 1
0.1%
406 1
0.1%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct100
Distinct (%)5.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean14.178187
Minimum0
Maximum2183
Zeros368
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:14.708918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile37
Maximum2183
Range2183
Interquartile range (IQR)8

Descriptive statistics

Standard deviation90.255194
Coefficient of variation (CV)6.365778
Kurtosis363.49218
Mean14.178187
Median Absolute Deviation (MAD)3
Skewness17.810019
Sum27690
Variance8146
MonotonicityNot monotonic
2024-04-06T17:47:15.936763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 370
18.7%
0 368
18.6%
2 199
10.0%
3 124
 
6.3%
4 92
 
4.6%
6 84
 
4.2%
5 81
 
4.1%
7 72
 
3.6%
9 55
 
2.8%
8 54
 
2.7%
Other values (90) 454
22.9%
ValueCountFrequency (%)
0 368
18.6%
1 370
18.7%
2 199
10.0%
3 124
 
6.3%
4 92
 
4.6%
5 81
 
4.1%
6 84
 
4.2%
7 72
 
3.6%
8 54
 
2.7%
9 55
 
2.8%
ValueCountFrequency (%)
2183 1
0.1%
1999 1
0.1%
1599 1
0.1%
1230 1
0.1%
869 1
0.1%
751 1
0.1%
672 1
0.1%
531 1
0.1%
487 1
0.1%
392 1
0.1%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)4.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean9.436764
Minimum0
Maximum1410
Zeros398
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:16.300065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile23
Maximum1410
Range1410
Interquartile range (IQR)5

Descriptive statistics

Standard deviation58.819798
Coefficient of variation (CV)6.2330475
Kurtosis377.98927
Mean9.436764
Median Absolute Deviation (MAD)2
Skewness18.235973
Sum18430
Variance3459.7687
MonotonicityNot monotonic
2024-04-06T17:47:16.695405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 429
21.7%
0 398
20.1%
2 231
11.7%
3 139
 
7.0%
4 119
 
6.0%
5 116
 
5.9%
6 72
 
3.6%
7 59
 
3.0%
8 53
 
2.7%
9 49
 
2.5%
Other values (78) 288
14.5%
ValueCountFrequency (%)
0 398
20.1%
1 429
21.7%
2 231
11.7%
3 139
 
7.0%
4 119
 
6.0%
5 116
 
5.9%
6 72
 
3.6%
7 59
 
3.0%
8 53
 
2.7%
9 49
 
2.5%
ValueCountFrequency (%)
1410 1
0.1%
1353 1
0.1%
1026 1
0.1%
853 1
0.1%
618 1
0.1%
380 1
0.1%
356 1
0.1%
341 1
0.1%
285 1
0.1%
224 1
0.1%

2020-05
Real number (ℝ)

MISSING  ZEROS 

Distinct88
Distinct (%)4.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.74296
Minimum0
Maximum1610
Zeros394
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:17.156697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile28
Maximum1610
Range1610
Interquartile range (IQR)6

Descriptive statistics

Standard deviation66.449479
Coefficient of variation (CV)6.1853979
Kurtosis372.32943
Mean10.74296
Median Absolute Deviation (MAD)2
Skewness18.098963
Sum20981
Variance4415.5333
MonotonicityNot monotonic
2024-04-06T17:47:17.695382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 394
19.9%
1 372
18.8%
2 237
12.0%
3 143
 
7.2%
4 123
 
6.2%
5 84
 
4.2%
6 81
 
4.1%
7 72
 
3.6%
8 60
 
3.0%
10 40
 
2.0%
Other values (78) 347
17.5%
ValueCountFrequency (%)
0 394
19.9%
1 372
18.8%
2 237
12.0%
3 143
 
7.2%
4 123
 
6.2%
5 84
 
4.2%
6 81
 
4.1%
7 72
 
3.6%
8 60
 
3.0%
9 35
 
1.8%
ValueCountFrequency (%)
1610 1
0.1%
1491 1
0.1%
1159 1
0.1%
922 1
0.1%
794 1
0.1%
438 1
0.1%
401 1
0.1%
375 1
0.1%
336 1
0.1%
240 1
0.1%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct117
Distinct (%)6.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean18.202765
Minimum0
Maximum2877
Zeros339
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:18.127569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q311
95-th percentile48
Maximum2877
Range2877
Interquartile range (IQR)10

Descriptive statistics

Standard deviation114.65566
Coefficient of variation (CV)6.2988048
Kurtosis378.12658
Mean18.202765
Median Absolute Deviation (MAD)4
Skewness18.152818
Sum35550
Variance13145.921
MonotonicityNot monotonic
2024-04-06T17:47:18.537292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 339
17.1%
1 326
16.5%
2 176
 
8.9%
3 123
 
6.2%
4 102
 
5.1%
5 71
 
3.6%
6 68
 
3.4%
8 64
 
3.2%
7 59
 
3.0%
10 49
 
2.5%
Other values (107) 576
29.1%
ValueCountFrequency (%)
0 339
17.1%
1 326
16.5%
2 176
8.9%
3 123
 
6.2%
4 102
 
5.1%
5 71
 
3.6%
6 68
 
3.4%
7 59
 
3.0%
8 64
 
3.2%
9 48
 
2.4%
ValueCountFrequency (%)
2877 1
0.1%
2431 1
0.1%
2133 1
0.1%
1470 1
0.1%
1146 1
0.1%
922 1
0.1%
771 1
0.1%
714 1
0.1%
597 1
0.1%
435 1
0.1%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct119
Distinct (%)6.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean18.654378
Minimum0
Maximum3020
Zeros304
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:18.956165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile48
Maximum3020
Range3020
Interquartile range (IQR)11

Descriptive statistics

Standard deviation119.03064
Coefficient of variation (CV)6.3808423
Kurtosis390.75097
Mean18.654378
Median Absolute Deviation (MAD)4
Skewness18.441331
Sum36432
Variance14168.294
MonotonicityNot monotonic
2024-04-06T17:47:19.346035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 313
15.8%
0 304
15.3%
2 182
 
9.2%
3 130
 
6.6%
4 113
 
5.7%
5 94
 
4.7%
6 69
 
3.5%
7 66
 
3.3%
9 51
 
2.6%
8 44
 
2.2%
Other values (109) 587
29.6%
ValueCountFrequency (%)
0 304
15.3%
1 313
15.8%
2 182
9.2%
3 130
6.6%
4 113
 
5.7%
5 94
 
4.7%
6 69
 
3.5%
7 66
 
3.3%
8 44
 
2.2%
9 51
 
2.6%
ValueCountFrequency (%)
3020 1
0.1%
2506 1
0.1%
2285 1
0.1%
1592 1
0.1%
877 1
0.1%
856 1
0.1%
699 2
0.1%
694 1
0.1%
528 1
0.1%
469 1
0.1%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)4.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.414235
Minimum0
Maximum1769
Zeros375
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:19.727616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile31
Maximum1769
Range1769
Interquartile range (IQR)6

Descriptive statistics

Standard deviation72.353009
Coefficient of variation (CV)6.3388403
Kurtosis376.98606
Mean11.414235
Median Absolute Deviation (MAD)2
Skewness18.214794
Sum22292
Variance5234.9579
MonotonicityNot monotonic
2024-04-06T17:47:20.198327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 408
20.6%
0 375
18.9%
2 202
10.2%
3 162
 
8.2%
4 98
 
4.9%
5 86
 
4.3%
6 71
 
3.6%
7 67
 
3.4%
8 64
 
3.2%
9 47
 
2.4%
Other values (79) 373
18.8%
ValueCountFrequency (%)
0 375
18.9%
1 408
20.6%
2 202
10.2%
3 162
 
8.2%
4 98
 
4.9%
5 86
 
4.3%
6 71
 
3.6%
7 67
 
3.4%
8 64
 
3.2%
9 47
 
2.4%
ValueCountFrequency (%)
1769 1
0.1%
1507 1
0.1%
1468 1
0.1%
990 1
0.1%
581 1
0.1%
535 1
0.1%
458 1
0.1%
447 1
0.1%
410 1
0.1%
275 1
0.1%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)4.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.863799
Minimum0
Maximum1741
Zeros398
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:20.589622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile28
Maximum1741
Range1741
Interquartile range (IQR)6

Descriptive statistics

Standard deviation69.663932
Coefficient of variation (CV)6.4124833
Kurtosis397.02826
Mean10.863799
Median Absolute Deviation (MAD)2
Skewness18.729577
Sum21217
Variance4853.0634
MonotonicityNot monotonic
2024-04-06T17:47:21.243921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 398
20.1%
1 389
19.6%
2 214
10.8%
3 151
 
7.6%
4 116
 
5.9%
5 84
 
4.2%
6 80
 
4.0%
7 62
 
3.1%
8 58
 
2.9%
9 54
 
2.7%
Other values (80) 347
17.5%
ValueCountFrequency (%)
0 398
20.1%
1 389
19.6%
2 214
10.8%
3 151
 
7.6%
4 116
 
5.9%
5 84
 
4.2%
6 80
 
4.0%
7 62
 
3.1%
8 58
 
2.9%
9 54
 
2.7%
ValueCountFrequency (%)
1741 1
0.1%
1455 1
0.1%
1425 1
0.1%
971 1
0.1%
503 1
0.1%
437 1
0.1%
434 1
0.1%
387 1
0.1%
384 1
0.1%
272 1
0.1%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct96
Distinct (%)4.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.974398
Minimum0
Maximum1949
Zeros397
Zeros (%)20.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:21.644322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q38
95-th percentile31
Maximum1949
Range1949
Interquartile range (IQR)7

Descriptive statistics

Standard deviation76.544322
Coefficient of variation (CV)6.3923313
Kurtosis400.81181
Mean11.974398
Median Absolute Deviation (MAD)2
Skewness18.762125
Sum23386
Variance5859.0332
MonotonicityNot monotonic
2024-04-06T17:47:22.079361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
20.0%
1 364
18.4%
2 221
11.2%
3 151
 
7.6%
4 119
 
6.0%
6 79
 
4.0%
5 69
 
3.5%
7 63
 
3.2%
8 59
 
3.0%
10 49
 
2.5%
Other values (86) 382
19.3%
ValueCountFrequency (%)
0 397
20.0%
1 364
18.4%
2 221
11.2%
3 151
 
7.6%
4 119
 
6.0%
5 69
 
3.5%
6 79
 
4.0%
7 63
 
3.2%
8 59
 
3.0%
9 38
 
1.9%
ValueCountFrequency (%)
1949 1
0.1%
1567 1
0.1%
1548 1
0.1%
1065 1
0.1%
563 1
0.1%
472 1
0.1%
458 1
0.1%
427 1
0.1%
412 1
0.1%
335 1
0.1%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct112
Distinct (%)5.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean15.270865
Minimum0
Maximum2585
Zeros356
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:22.554737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q39
95-th percentile42
Maximum2585
Range2585
Interquartile range (IQR)8

Descriptive statistics

Standard deviation98.502199
Coefficient of variation (CV)6.4503351
Kurtosis429.01534
Mean15.270865
Median Absolute Deviation (MAD)3
Skewness19.380423
Sum29824
Variance9702.6833
MonotonicityNot monotonic
2024-04-06T17:47:22.968276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 357
18.0%
0 356
18.0%
2 210
10.6%
3 143
 
7.2%
4 113
 
5.7%
5 102
 
5.1%
6 72
 
3.6%
8 58
 
2.9%
7 48
 
2.4%
10 44
 
2.2%
Other values (102) 450
22.7%
ValueCountFrequency (%)
0 356
18.0%
1 357
18.0%
2 210
10.6%
3 143
7.2%
4 113
 
5.7%
5 102
 
5.1%
6 72
 
3.6%
7 48
 
2.4%
8 58
 
2.9%
9 40
 
2.0%
ValueCountFrequency (%)
2585 1
0.1%
2052 1
0.1%
1993 1
0.1%
1288 1
0.1%
582 1
0.1%
574 1
0.1%
469 1
0.1%
451 1
0.1%
442 2
0.1%
434 1
0.1%

2020-12
Real number (ℝ)

MISSING  ZEROS 

Distinct118
Distinct (%)6.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean18.1915
Minimum0
Maximum2910
Zeros318
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:23.378097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q312
95-th percentile48.4
Maximum2910
Range2910
Interquartile range (IQR)11

Descriptive statistics

Standard deviation115.34467
Coefficient of variation (CV)6.3405806
Kurtosis412.21956
Mean18.1915
Median Absolute Deviation (MAD)4
Skewness19.044532
Sum35528
Variance13304.394
MonotonicityNot monotonic
2024-04-06T17:47:23.751572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 318
16.1%
1 313
15.8%
2 176
 
8.9%
3 129
 
6.5%
4 118
 
6.0%
7 80
 
4.0%
5 77
 
3.9%
8 72
 
3.6%
6 63
 
3.2%
9 40
 
2.0%
Other values (108) 567
28.6%
ValueCountFrequency (%)
0 318
16.1%
1 313
15.8%
2 176
8.9%
3 129
6.5%
4 118
 
6.0%
5 77
 
3.9%
6 63
 
3.2%
7 80
 
4.0%
8 72
 
3.6%
9 40
 
2.0%
ValueCountFrequency (%)
2910 1
0.1%
2578 1
0.1%
2236 1
0.1%
1492 1
0.1%
814 1
0.1%
779 1
0.1%
652 1
0.1%
603 1
0.1%
575 1
0.1%
565 1
0.1%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct92
Distinct (%)4.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.40553
Minimum0
Maximum1745
Zeros404
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:24.151141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile28
Maximum1745
Range1745
Interquartile range (IQR)6

Descriptive statistics

Standard deviation71.881038
Coefficient of variation (CV)6.3022971
Kurtosis376.09699
Mean11.40553
Median Absolute Deviation (MAD)3
Skewness18.205555
Sum22275
Variance5166.8836
MonotonicityNot monotonic
2024-04-06T17:47:24.572073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404
20.4%
1 349
17.6%
2 209
10.6%
3 155
 
7.8%
4 115
 
5.8%
6 88
 
4.4%
5 86
 
4.3%
7 71
 
3.6%
8 60
 
3.0%
9 48
 
2.4%
Other values (82) 368
18.6%
ValueCountFrequency (%)
0 404
20.4%
1 349
17.6%
2 209
10.6%
3 155
 
7.8%
4 115
 
5.8%
5 86
 
4.3%
6 88
 
4.4%
7 71
 
3.6%
8 60
 
3.0%
9 48
 
2.4%
ValueCountFrequency (%)
1745 1
0.1%
1522 1
0.1%
1447 1
0.1%
994 1
0.1%
541 1
0.1%
521 1
0.1%
463 1
0.1%
450 1
0.1%
412 1
0.1%
360 1
0.1%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)4.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.880184
Minimum0
Maximum1679
Zeros420
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:25.093062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile27
Maximum1679
Range1679
Interquartile range (IQR)6

Descriptive statistics

Standard deviation69.146517
Coefficient of variation (CV)6.3552707
Kurtosis375.28485
Mean10.880184
Median Absolute Deviation (MAD)2
Skewness18.201555
Sum21249
Variance4781.2408
MonotonicityNot monotonic
2024-04-06T17:47:25.566495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 420
21.2%
1 355
17.9%
2 215
10.9%
3 132
 
6.7%
4 122
 
6.2%
5 111
 
5.6%
7 82
 
4.1%
6 72
 
3.6%
8 60
 
3.0%
9 43
 
2.2%
Other values (80) 341
17.2%
ValueCountFrequency (%)
0 420
21.2%
1 355
17.9%
2 215
10.9%
3 132
 
6.7%
4 122
 
6.2%
5 111
 
5.6%
6 72
 
3.6%
7 82
 
4.1%
8 60
 
3.0%
9 43
 
2.2%
ValueCountFrequency (%)
1679 1
0.1%
1459 1
0.1%
1383 1
0.1%
989 1
0.1%
532 1
0.1%
473 1
0.1%
464 1
0.1%
433 1
0.1%
358 1
0.1%
318 1
0.1%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)4.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean12.706093
Minimum0
Maximum1903
Zeros317
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:25.985163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile30
Maximum1903
Range1903
Interquartile range (IQR)7

Descriptive statistics

Standard deviation79.526079
Coefficient of variation (CV)6.2588931
Kurtosis375.54935
Mean12.706093
Median Absolute Deviation (MAD)3
Skewness18.268011
Sum24815
Variance6324.3972
MonotonicityNot monotonic
2024-04-06T17:47:27.077408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 362
18.3%
0 317
16.0%
2 214
10.8%
3 148
 
7.5%
4 127
 
6.4%
5 93
 
4.7%
7 89
 
4.5%
8 79
 
4.0%
6 77
 
3.9%
9 50
 
2.5%
Other values (83) 397
20.0%
ValueCountFrequency (%)
0 317
16.0%
1 362
18.3%
2 214
10.8%
3 148
7.5%
4 127
 
6.4%
5 93
 
4.7%
6 77
 
3.9%
7 89
 
4.5%
8 79
 
4.0%
9 50
 
2.5%
ValueCountFrequency (%)
1903 1
0.1%
1728 1
0.1%
1547 1
0.1%
1225 1
0.1%
586 1
0.1%
547 1
0.1%
468 2
0.1%
447 1
0.1%
355 1
0.1%
324 1
0.1%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)5.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.863287
Minimum0
Maximum1668
Zeros327
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:27.671654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile28
Maximum1668
Range1668
Interquartile range (IQR)7

Descriptive statistics

Standard deviation72.929362
Coefficient of variation (CV)6.1474835
Kurtosis366.4271
Mean11.863287
Median Absolute Deviation (MAD)3
Skewness18.045963
Sum23169
Variance5318.6919
MonotonicityNot monotonic
2024-04-06T17:47:28.156471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 335
16.9%
0 327
16.5%
2 229
11.6%
3 157
7.9%
4 135
 
6.8%
6 97
 
4.9%
5 97
 
4.9%
7 87
 
4.4%
8 62
 
3.1%
9 54
 
2.7%
Other values (87) 373
18.8%
ValueCountFrequency (%)
0 327
16.5%
1 335
16.9%
2 229
11.6%
3 157
7.9%
4 135
6.8%
5 97
 
4.9%
6 97
 
4.9%
7 87
 
4.4%
8 62
 
3.1%
9 54
 
2.7%
ValueCountFrequency (%)
1668 1
0.1%
1655 1
0.1%
1377 1
0.1%
1171 1
0.1%
539 1
0.1%
525 1
0.1%
432 1
0.1%
404 1
0.1%
391 1
0.1%
357 1
0.1%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct97
Distinct (%)5.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean12.382488
Minimum0
Maximum1743
Zeros324
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:28.703343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile30
Maximum1743
Range1743
Interquartile range (IQR)7

Descriptive statistics

Standard deviation75.393399
Coefficient of variation (CV)6.0887114
Kurtosis355.39739
Mean12.382488
Median Absolute Deviation (MAD)3
Skewness17.746207
Sum24183
Variance5684.1646
MonotonicityNot monotonic
2024-04-06T17:47:29.159442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 339
17.1%
0 324
16.4%
2 216
10.9%
3 155
 
7.8%
5 114
 
5.8%
4 107
 
5.4%
6 100
 
5.0%
8 75
 
3.8%
7 71
 
3.6%
9 60
 
3.0%
Other values (87) 392
19.8%
ValueCountFrequency (%)
0 324
16.4%
1 339
17.1%
2 216
10.9%
3 155
7.8%
4 107
 
5.4%
5 114
 
5.8%
6 100
 
5.0%
7 71
 
3.6%
8 75
 
3.8%
9 60
 
3.0%
ValueCountFrequency (%)
1743 1
0.1%
1629 1
0.1%
1485 1
0.1%
1143 1
0.1%
670 1
0.1%
545 1
0.1%
456 1
0.1%
438 1
0.1%
415 1
0.1%
386 1
0.1%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct93
Distinct (%)4.8%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.177163
Minimum0
Maximum1614
Zeros351
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:29.600898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile28
Maximum1614
Range1614
Interquartile range (IQR)6

Descriptive statistics

Standard deviation68.348607
Coefficient of variation (CV)6.1150227
Kurtosis363.27066
Mean11.177163
Median Absolute Deviation (MAD)3
Skewness17.931728
Sum21829
Variance4671.5321
MonotonicityNot monotonic
2024-04-06T17:47:30.054505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 351
17.7%
1 338
17.1%
2 230
11.6%
3 150
7.6%
4 144
7.3%
5 109
 
5.5%
6 100
 
5.0%
7 75
 
3.8%
9 62
 
3.1%
8 54
 
2.7%
Other values (83) 340
17.2%
ValueCountFrequency (%)
0 351
17.7%
1 338
17.1%
2 230
11.6%
3 150
7.6%
4 144
7.3%
5 109
 
5.5%
6 100
 
5.0%
7 75
 
3.8%
8 54
 
2.7%
9 62
 
3.1%
ValueCountFrequency (%)
1614 1
0.1%
1489 1
0.1%
1302 1
0.1%
1051 1
0.1%
570 1
0.1%
487 1
0.1%
434 1
0.1%
392 1
0.1%
382 1
0.1%
343 1
0.1%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct91
Distinct (%)4.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.239119
Minimum0
Maximum1602
Zeros352
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:30.471081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile29
Maximum1602
Range1602
Interquartile range (IQR)6

Descriptive statistics

Standard deviation68.735696
Coefficient of variation (CV)6.1157547
Kurtosis352.3512
Mean11.239119
Median Absolute Deviation (MAD)3
Skewness17.664358
Sum21950
Variance4724.596
MonotonicityNot monotonic
2024-04-06T17:47:30.887613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 352
17.8%
1 349
17.6%
2 235
11.9%
3 151
7.6%
4 126
 
6.4%
6 113
 
5.7%
5 100
 
5.0%
8 76
 
3.8%
7 59
 
3.0%
10 47
 
2.4%
Other values (81) 345
17.4%
ValueCountFrequency (%)
0 352
17.8%
1 349
17.6%
2 235
11.9%
3 151
7.6%
4 126
 
6.4%
5 100
 
5.0%
6 113
 
5.7%
7 59
 
3.0%
8 76
 
3.8%
9 38
 
1.9%
ValueCountFrequency (%)
1602 1
0.1%
1431 1
0.1%
1391 1
0.1%
1020 1
0.1%
632 1
0.1%
471 1
0.1%
457 1
0.1%
443 1
0.1%
393 1
0.1%
350 1
0.1%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct89
Distinct (%)4.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean11.208909
Minimum0
Maximum1626
Zeros368
Zeros (%)18.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:31.295701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile30
Maximum1626
Range1626
Interquartile range (IQR)6

Descriptive statistics

Standard deviation68.732027
Coefficient of variation (CV)6.1319103
Kurtosis362.46715
Mean11.208909
Median Absolute Deviation (MAD)3
Skewness17.898922
Sum21891
Variance4724.0916
MonotonicityNot monotonic
2024-04-06T17:47:31.766230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 368
18.6%
1 361
18.2%
2 210
10.6%
3 148
7.5%
4 131
 
6.6%
5 115
 
5.8%
6 85
 
4.3%
7 68
 
3.4%
8 62
 
3.1%
9 54
 
2.7%
Other values (79) 351
17.7%
ValueCountFrequency (%)
0 368
18.6%
1 361
18.2%
2 210
10.6%
3 148
7.5%
4 131
 
6.6%
5 115
 
5.8%
6 85
 
4.3%
7 68
 
3.4%
8 62
 
3.1%
9 54
 
2.7%
ValueCountFrequency (%)
1626 1
0.1%
1433 1
0.1%
1408 1
0.1%
989 1
0.1%
588 1
0.1%
461 1
0.1%
451 1
0.1%
441 1
0.1%
379 1
0.1%
373 1
0.1%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct90
Distinct (%)4.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean10.285714
Minimum0
Maximum1493
Zeros405
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:32.325963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile27.4
Maximum1493
Range1493
Interquartile range (IQR)6

Descriptive statistics

Standard deviation62.664573
Coefficient of variation (CV)6.092389
Kurtosis361.44279
Mean10.285714
Median Absolute Deviation (MAD)2
Skewness17.85304
Sum20088
Variance3926.8487
MonotonicityNot monotonic
2024-04-06T17:47:32.744378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 405
20.4%
1 348
17.6%
2 238
12.0%
3 166
8.4%
4 114
 
5.8%
6 94
 
4.7%
5 90
 
4.5%
8 74
 
3.7%
7 66
 
3.3%
9 48
 
2.4%
Other values (80) 310
15.6%
ValueCountFrequency (%)
0 405
20.4%
1 348
17.6%
2 238
12.0%
3 166
8.4%
4 114
 
5.8%
5 90
 
4.5%
6 94
 
4.7%
7 66
 
3.3%
8 74
 
3.7%
9 48
 
2.4%
ValueCountFrequency (%)
1493 1
0.1%
1314 1
0.1%
1256 1
0.1%
885 1
0.1%
603 1
0.1%
408 1
0.1%
407 1
0.1%
390 1
0.1%
337 1
0.1%
330 1
0.1%

2021-10
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)4.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean9.5033282
Minimum0
Maximum1362
Zeros377
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:33.200274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile27
Maximum1362
Range1362
Interquartile range (IQR)5

Descriptive statistics

Standard deviation56.909505
Coefficient of variation (CV)5.9883762
Kurtosis355.84761
Mean9.5033282
Median Absolute Deviation (MAD)2
Skewness17.749875
Sum18560
Variance3238.6917
MonotonicityNot monotonic
2024-04-06T17:47:33.664517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 377
19.0%
1 376
19.0%
2 248
12.5%
3 177
8.9%
4 141
 
7.1%
5 114
 
5.8%
6 73
 
3.7%
7 61
 
3.1%
8 60
 
3.0%
9 49
 
2.5%
Other values (76) 277
14.0%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 377
19.0%
1 376
19.0%
2 248
12.5%
3 177
8.9%
4 141
 
7.1%
5 114
 
5.8%
6 73
 
3.7%
7 61
 
3.1%
8 60
 
3.0%
9 49
 
2.5%
ValueCountFrequency (%)
1362 1
0.1%
1183 1
0.1%
1080 1
0.1%
887 1
0.1%
598 1
0.1%
406 1
0.1%
334 1
0.1%
303 1
0.1%
278 1
0.1%
274 1
0.1%

2021-11
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)4.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean8.7050691
Minimum0
Maximum1183
Zeros387
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:34.061573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile25
Maximum1183
Range1183
Interquartile range (IQR)4

Descriptive statistics

Standard deviation51.428299
Coefficient of variation (CV)5.9078565
Kurtosis344.26685
Mean8.7050691
Median Absolute Deviation (MAD)2
Skewness17.526516
Sum17001
Variance2644.8699
MonotonicityNot monotonic
2024-04-06T17:47:34.501968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 394
19.9%
0 387
19.5%
2 278
14.0%
3 175
8.8%
4 141
 
7.1%
5 104
 
5.2%
6 70
 
3.5%
7 62
 
3.1%
8 48
 
2.4%
9 35
 
1.8%
Other values (74) 259
13.1%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 387
19.5%
1 394
19.9%
2 278
14.0%
3 175
8.8%
4 141
 
7.1%
5 104
 
5.2%
6 70
 
3.5%
7 62
 
3.1%
8 48
 
2.4%
9 35
 
1.8%
ValueCountFrequency (%)
1183 1
0.1%
1103 1
0.1%
951 1
0.1%
818 1
0.1%
622 1
0.1%
368 1
0.1%
288 1
0.1%
249 1
0.1%
248 1
0.1%
218 1
0.1%

2021-12
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)3.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.9027138
Minimum0
Maximum914
Zeros406
Zeros (%)20.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:35.060356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile18
Maximum914
Range914
Interquartile range (IQR)3

Descriptive statistics

Standard deviation40.637766
Coefficient of variation (CV)5.8872159
Kurtosis334.66628
Mean6.9027138
Median Absolute Deviation (MAD)2
Skewness17.318151
Sum13481
Variance1651.428
MonotonicityNot monotonic
2024-04-06T17:47:35.489004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 466
23.5%
0 406
20.5%
2 278
14.0%
3 193
9.7%
4 142
 
7.2%
5 93
 
4.7%
6 66
 
3.3%
7 53
 
2.7%
8 32
 
1.6%
9 27
 
1.4%
Other values (66) 197
9.9%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 406
20.5%
1 466
23.5%
2 278
14.0%
3 193
9.7%
4 142
 
7.2%
5 93
 
4.7%
6 66
 
3.3%
7 53
 
2.7%
8 32
 
1.6%
9 27
 
1.4%
ValueCountFrequency (%)
914 1
0.1%
874 1
0.1%
746 1
0.1%
623 1
0.1%
561 1
0.1%
287 1
0.1%
248 1
0.1%
198 1
0.1%
177 1
0.1%
165 1
0.1%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)3.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.2360471
Minimum0
Maximum709
Zeros499
Zeros (%)25.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:35.883644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum709
Range709
Interquartile range (IQR)3

Descriptive statistics

Standard deviation31.37934
Coefficient of variation (CV)5.9929446
Kurtosis350.67931
Mean5.2360471
Median Absolute Deviation (MAD)1
Skewness17.692545
Sum10226
Variance984.663
MonotonicityNot monotonic
2024-04-06T17:47:36.325647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 563
28.4%
0 499
25.2%
2 270
13.6%
3 172
 
8.7%
4 107
 
5.4%
5 74
 
3.7%
6 53
 
2.7%
7 28
 
1.4%
8 27
 
1.4%
10 14
 
0.7%
Other values (55) 146
 
7.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 499
25.2%
1 563
28.4%
2 270
13.6%
3 172
 
8.7%
4 107
 
5.4%
5 74
 
3.7%
6 53
 
2.7%
7 28
 
1.4%
8 27
 
1.4%
9 10
 
0.5%
ValueCountFrequency (%)
709 1
0.1%
693 1
0.1%
588 1
0.1%
514 1
0.1%
331 1
0.1%
229 1
0.1%
174 1
0.1%
150 1
0.1%
143 1
0.1%
135 1
0.1%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)3.3%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.3486943
Minimum0
Maximum722
Zeros507
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:36.735911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile14
Maximum722
Range722
Interquartile range (IQR)3

Descriptive statistics

Standard deviation32.076062
Coefficient of variation (CV)5.9969891
Kurtosis357.53343
Mean5.3486943
Median Absolute Deviation (MAD)1
Skewness17.866726
Sum10446
Variance1028.8737
MonotonicityNot monotonic
2024-04-06T17:47:37.227877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 519
26.2%
0 507
25.6%
2 302
15.2%
3 168
 
8.5%
4 121
 
6.1%
5 66
 
3.3%
6 42
 
2.1%
7 32
 
1.6%
9 25
 
1.3%
8 21
 
1.1%
Other values (55) 150
 
7.6%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 507
25.6%
1 519
26.2%
2 302
15.2%
3 168
 
8.5%
4 121
 
6.1%
5 66
 
3.3%
6 42
 
2.1%
7 32
 
1.6%
8 21
 
1.1%
9 25
 
1.3%
ValueCountFrequency (%)
722 1
0.1%
721 1
0.1%
607 1
0.1%
520 1
0.1%
326 1
0.1%
241 1
0.1%
167 1
0.1%
138 1
0.1%
136 1
0.1%
131 1
0.1%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)3.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.7864823
Minimum0
Maximum927
Zeros418
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:37.655140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile18
Maximum927
Range927
Interquartile range (IQR)3

Descriptive statistics

Standard deviation40.413259
Coefficient of variation (CV)5.9549642
Kurtosis349.9907
Mean6.7864823
Median Absolute Deviation (MAD)2
Skewness17.658524
Sum13254
Variance1633.2315
MonotonicityNot monotonic
2024-04-06T17:47:38.654478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 492
24.8%
0 418
21.1%
2 289
14.6%
3 186
 
9.4%
4 121
 
6.1%
5 78
 
3.9%
6 71
 
3.6%
7 46
 
2.3%
9 29
 
1.5%
8 28
 
1.4%
Other values (61) 195
 
9.8%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 418
21.1%
1 492
24.8%
2 289
14.6%
3 186
 
9.4%
4 121
 
6.1%
5 78
 
3.9%
6 71
 
3.6%
7 46
 
2.3%
8 28
 
1.4%
9 29
 
1.5%
ValueCountFrequency (%)
927 1
0.1%
885 1
0.1%
736 1
0.1%
666 1
0.1%
441 1
0.1%
307 1
0.1%
204 1
0.1%
195 1
0.1%
177 1
0.1%
176 1
0.1%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.2775218
Minimum0
Maximum1005
Zeros418
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:39.030910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile19
Maximum1005
Range1005
Interquartile range (IQR)4

Descriptive statistics

Standard deviation43.783229
Coefficient of variation (CV)6.0162278
Kurtosis362.49188
Mean7.2775218
Median Absolute Deviation (MAD)2
Skewness17.946512
Sum14213
Variance1916.9711
MonotonicityNot monotonic
2024-04-06T17:47:39.449741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 462
23.3%
0 418
21.1%
2 250
12.6%
3 188
9.5%
4 131
 
6.6%
5 99
 
5.0%
6 79
 
4.0%
7 54
 
2.7%
8 39
 
2.0%
9 33
 
1.7%
Other values (59) 200
10.1%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 418
21.1%
1 462
23.3%
2 250
12.6%
3 188
9.5%
4 131
 
6.6%
5 99
 
5.0%
6 79
 
4.0%
7 54
 
2.7%
8 39
 
2.0%
9 33
 
1.7%
ValueCountFrequency (%)
1005 1
0.1%
992 1
0.1%
796 1
0.1%
715 1
0.1%
405 1
0.1%
333 1
0.1%
221 2
0.1%
212 1
0.1%
200 1
0.1%
159 1
0.1%

2022-05
Real number (ℝ)

MISSING  ZEROS 

Distinct81
Distinct (%)4.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean7.9656938
Minimum0
Maximum1110
Zeros377
Zeros (%)19.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:39.944486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q35
95-th percentile21
Maximum1110
Range1110
Interquartile range (IQR)4

Descriptive statistics

Standard deviation47.599285
Coefficient of variation (CV)5.9755354
Kurtosis353.67864
Mean7.9656938
Median Absolute Deviation (MAD)2
Skewness17.738007
Sum15557
Variance2265.692
MonotonicityNot monotonic
2024-04-06T17:47:40.331789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 438
22.1%
0 377
19.0%
2 263
13.3%
3 185
9.3%
4 154
 
7.8%
5 90
 
4.5%
6 76
 
3.8%
7 66
 
3.3%
8 49
 
2.5%
9 32
 
1.6%
Other values (71) 223
11.3%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 377
19.0%
1 438
22.1%
2 263
13.3%
3 185
9.3%
4 154
 
7.8%
5 90
 
4.5%
6 76
 
3.8%
7 66
 
3.3%
8 49
 
2.5%
9 32
 
1.6%
ValueCountFrequency (%)
1110 1
0.1%
1033 1
0.1%
864 1
0.1%
785 1
0.1%
491 1
0.1%
366 1
0.1%
248 1
0.1%
243 1
0.1%
220 1
0.1%
217 1
0.1%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)3.7%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.3870968
Minimum0
Maximum912
Zeros443
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:40.760936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q34
95-th percentile16.4
Maximum912
Range912
Interquartile range (IQR)3

Descriptive statistics

Standard deviation38.391422
Coefficient of variation (CV)6.0107782
Kurtosis356.22602
Mean6.3870968
Median Absolute Deviation (MAD)2
Skewness17.7736
Sum12474
Variance1473.9013
MonotonicityNot monotonic
2024-04-06T17:47:41.235345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 491
24.8%
0 443
22.4%
2 265
13.4%
3 200
10.1%
4 129
 
6.5%
5 87
 
4.4%
6 57
 
2.9%
7 48
 
2.4%
9 36
 
1.8%
8 23
 
1.2%
Other values (62) 174
 
8.8%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 443
22.4%
1 491
24.8%
2 265
13.4%
3 200
10.1%
4 129
 
6.5%
5 87
 
4.4%
6 57
 
2.9%
7 48
 
2.4%
8 23
 
1.2%
9 36
 
1.8%
ValueCountFrequency (%)
912 1
0.1%
828 1
0.1%
661 1
0.1%
645 1
0.1%
423 1
0.1%
285 1
0.1%
193 1
0.1%
181 1
0.1%
170 1
0.1%
158 1
0.1%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct59
Distinct (%)3.0%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.9907834
Minimum0
Maximum706
Zeros508
Zeros (%)25.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:41.666111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum706
Range706
Interquartile range (IQR)3

Descriptive statistics

Standard deviation30.088121
Coefficient of variation (CV)6.028737
Kurtosis357.41169
Mean4.9907834
Median Absolute Deviation (MAD)1
Skewness17.801756
Sum9747
Variance905.295
MonotonicityNot monotonic
2024-04-06T17:47:42.119957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 548
27.7%
0 508
25.6%
2 301
15.2%
3 171
 
8.6%
4 101
 
5.1%
5 73
 
3.7%
6 43
 
2.2%
7 32
 
1.6%
8 22
 
1.1%
9 20
 
1.0%
Other values (49) 134
 
6.8%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 508
25.6%
1 548
27.7%
2 301
15.2%
3 171
 
8.6%
4 101
 
5.1%
5 73
 
3.7%
6 43
 
2.2%
7 32
 
1.6%
8 22
 
1.1%
9 20
 
1.0%
ValueCountFrequency (%)
706 1
0.1%
667 1
0.1%
508 1
0.1%
504 1
0.1%
331 1
0.1%
220 1
0.1%
155 1
0.1%
149 2
0.1%
117 1
0.1%
111 1
0.1%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)3.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.4987199
Minimum0
Maximum660
Zeros550
Zeros (%)27.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:42.578844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum660
Range660
Interquartile range (IQR)3

Descriptive statistics

Standard deviation27.183143
Coefficient of variation (CV)6.0424174
Kurtosis365.74975
Mean4.4987199
Median Absolute Deviation (MAD)1
Skewness18.00471
Sum8786
Variance738.92328
MonotonicityNot monotonic
2024-04-06T17:47:42.963009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 581
29.3%
0 550
27.8%
2 289
14.6%
3 149
 
7.5%
4 103
 
5.2%
5 55
 
2.8%
6 46
 
2.3%
7 26
 
1.3%
8 18
 
0.9%
10 11
 
0.6%
Other values (50) 125
 
6.3%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 550
27.8%
1 581
29.3%
2 289
14.6%
3 149
 
7.5%
4 103
 
5.2%
5 55
 
2.8%
6 46
 
2.3%
7 26
 
1.3%
8 18
 
0.9%
9 11
 
0.6%
ValueCountFrequency (%)
660 1
0.1%
580 1
0.1%
473 1
0.1%
451 1
0.1%
298 1
0.1%
191 1
0.1%
134 1
0.1%
131 1
0.1%
114 1
0.1%
99 1
0.1%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)2.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.1346646
Minimum0
Maximum585
Zeros594
Zeros (%)30.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:43.383226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum585
Range585
Interquartile range (IQR)3

Descriptive statistics

Standard deviation24.9315
Coefficient of variation (CV)6.0298724
Kurtosis359.30931
Mean4.1346646
Median Absolute Deviation (MAD)1
Skewness17.888949
Sum8075
Variance621.5797
MonotonicityNot monotonic
2024-04-06T17:47:43.907110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 594
30.0%
1 579
29.2%
2 280
14.1%
3 153
 
7.7%
4 90
 
4.5%
5 46
 
2.3%
6 46
 
2.3%
7 26
 
1.3%
8 19
 
1.0%
9 10
 
0.5%
Other values (46) 110
 
5.6%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 594
30.0%
1 579
29.2%
2 280
14.1%
3 153
 
7.7%
4 90
 
4.5%
5 46
 
2.3%
6 46
 
2.3%
7 26
 
1.3%
8 19
 
1.0%
9 10
 
0.5%
ValueCountFrequency (%)
585 1
0.1%
547 1
0.1%
429 2
0.1%
269 1
0.1%
180 1
0.1%
121 1
0.1%
116 1
0.1%
114 1
0.1%
94 1
0.1%
92 1
0.1%

2022-10
Real number (ℝ)

MISSING  ZEROS 

Distinct56
Distinct (%)2.9%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.9907834
Minimum0
Maximum580
Zeros637
Zeros (%)32.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:44.386300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile11
Maximum580
Range580
Interquartile range (IQR)3

Descriptive statistics

Standard deviation24.335827
Coefficient of variation (CV)6.0980076
Kurtosis370.79084
Mean3.9907834
Median Absolute Deviation (MAD)1
Skewness18.1402
Sum7794
Variance592.2325
MonotonicityNot monotonic
2024-04-06T17:47:44.819101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 637
32.2%
1 570
28.8%
2 257
13.0%
3 165
 
8.3%
4 84
 
4.2%
5 49
 
2.5%
6 37
 
1.9%
8 21
 
1.1%
7 14
 
0.7%
12 13
 
0.7%
Other values (46) 106
 
5.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 637
32.2%
1 570
28.8%
2 257
13.0%
3 165
 
8.3%
4 84
 
4.2%
5 49
 
2.5%
6 37
 
1.9%
7 14
 
0.7%
8 21
 
1.1%
9 9
 
0.5%
ValueCountFrequency (%)
580 1
0.1%
538 1
0.1%
428 1
0.1%
411 1
0.1%
232 1
0.1%
162 1
0.1%
123 1
0.1%
116 1
0.1%
109 1
0.1%
90 1
0.1%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)2.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.7311828
Minimum0
Maximum546
Zeros672
Zeros (%)33.9%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:45.289846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile10
Maximum546
Range546
Interquartile range (IQR)2

Descriptive statistics

Standard deviation22.936967
Coefficient of variation (CV)6.1473715
Kurtosis369.21168
Mean3.7311828
Median Absolute Deviation (MAD)1
Skewness18.092871
Sum7287
Variance526.10444
MonotonicityNot monotonic
2024-04-06T17:47:45.712627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 672
33.9%
1 580
29.3%
2 256
 
12.9%
3 141
 
7.1%
4 73
 
3.7%
5 54
 
2.7%
6 30
 
1.5%
7 18
 
0.9%
8 17
 
0.9%
9 13
 
0.7%
Other values (40) 99
 
5.0%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 672
33.9%
1 580
29.3%
2 256
 
12.9%
3 141
 
7.1%
4 73
 
3.7%
5 54
 
2.7%
6 30
 
1.5%
7 18
 
0.9%
8 17
 
0.9%
9 13
 
0.7%
ValueCountFrequency (%)
546 1
0.1%
508 1
0.1%
399 1
0.1%
388 1
0.1%
215 1
0.1%
153 1
0.1%
119 1
0.1%
114 2
0.1%
107 1
0.1%
75 1
0.1%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct50
Distinct (%)2.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.5253456
Minimum0
Maximum489
Zeros706
Zeros (%)35.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:46.210772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile9.4
Maximum489
Range489
Interquartile range (IQR)2

Descriptive statistics

Standard deviation21.468679
Coefficient of variation (CV)6.0898084
Kurtosis364.73572
Mean3.5253456
Median Absolute Deviation (MAD)1
Skewness18.026994
Sum6885
Variance460.9042
MonotonicityNot monotonic
2024-04-06T17:47:46.599710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 706
35.6%
1 570
28.8%
2 247
 
12.5%
3 131
 
6.6%
4 77
 
3.9%
5 44
 
2.2%
6 35
 
1.8%
7 18
 
0.9%
8 16
 
0.8%
11 12
 
0.6%
Other values (40) 97
 
4.9%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 706
35.6%
1 570
28.8%
2 247
 
12.5%
3 131
 
6.6%
4 77
 
3.9%
5 44
 
2.2%
6 35
 
1.8%
7 18
 
0.9%
8 16
 
0.8%
9 11
 
0.6%
ValueCountFrequency (%)
489 1
0.1%
487 1
0.1%
409 1
0.1%
332 1
0.1%
226 1
0.1%
125 1
0.1%
118 1
0.1%
104 1
0.1%
102 1
0.1%
99 1
0.1%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct48
Distinct (%)2.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.1167435
Minimum0
Maximum445
Zeros795
Zeros (%)40.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:46.994268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum445
Range445
Interquartile range (IQR)2

Descriptive statistics

Standard deviation19.427584
Coefficient of variation (CV)6.2332959
Kurtosis379.29801
Mean3.1167435
Median Absolute Deviation (MAD)1
Skewness18.410074
Sum6087
Variance377.43104
MonotonicityNot monotonic
2024-04-06T17:47:47.381916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
0 795
40.1%
1 542
27.4%
2 233
 
11.8%
3 120
 
6.1%
4 74
 
3.7%
5 38
 
1.9%
6 22
 
1.1%
7 19
 
1.0%
8 14
 
0.7%
9 14
 
0.7%
Other values (38) 82
 
4.1%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 795
40.1%
1 542
27.4%
2 233
 
11.8%
3 120
 
6.1%
4 74
 
3.7%
5 38
 
1.9%
6 22
 
1.1%
7 19
 
1.0%
8 14
 
0.7%
9 14
 
0.7%
ValueCountFrequency (%)
445 1
0.1%
441 1
0.1%
388 1
0.1%
304 1
0.1%
141 1
0.1%
125 1
0.1%
105 1
0.1%
101 1
0.1%
95 1
0.1%
94 1
0.1%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)3.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.1607783
Minimum0
Maximum788
Zeros658
Zeros (%)33.2%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:47.743356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile15
Maximum788
Range788
Interquartile range (IQR)3

Descriptive statistics

Standard deviation33.298694
Coefficient of variation (CV)6.4522621
Kurtosis398.36662
Mean5.1607783
Median Absolute Deviation (MAD)1
Skewness18.949654
Sum10079
Variance1108.803
MonotonicityNot monotonic
2024-04-06T17:47:48.156277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 658
33.2%
1 479
24.2%
2 228
 
11.5%
3 156
 
7.9%
4 93
 
4.7%
5 69
 
3.5%
6 48
 
2.4%
7 31
 
1.6%
8 26
 
1.3%
10 15
 
0.8%
Other values (56) 150
 
7.6%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 658
33.2%
1 479
24.2%
2 228
 
11.5%
3 156
 
7.9%
4 93
 
4.7%
5 69
 
3.5%
6 48
 
2.4%
7 31
 
1.6%
8 26
 
1.3%
9 10
 
0.5%
ValueCountFrequency (%)
788 1
0.1%
725 1
0.1%
709 1
0.1%
510 1
0.1%
209 1
0.1%
200 1
0.1%
194 1
0.1%
174 1
0.1%
127 1
0.1%
112 2
0.1%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.5606759
Minimum0
Maximum999
Zeros530
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:48.625021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile17
Maximum999
Range999
Interquartile range (IQR)4

Descriptive statistics

Standard deviation42.23452
Coefficient of variation (CV)6.4375257
Kurtosis404.62643
Mean6.5606759
Median Absolute Deviation (MAD)1
Skewness19.068746
Sum12813
Variance1783.7546
MonotonicityNot monotonic
2024-04-06T17:47:49.036442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 530
26.8%
1 491
24.8%
2 229
11.6%
3 151
 
7.6%
4 109
 
5.5%
5 83
 
4.2%
6 61
 
3.1%
7 46
 
2.3%
9 30
 
1.5%
8 30
 
1.5%
Other values (59) 193
 
9.7%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 530
26.8%
1 491
24.8%
2 229
11.6%
3 151
 
7.6%
4 109
 
5.5%
5 83
 
4.2%
6 61
 
3.1%
7 46
 
2.3%
8 30
 
1.5%
9 30
 
1.5%
ValueCountFrequency (%)
999 1
0.1%
944 1
0.1%
900 1
0.1%
606 1
0.1%
258 1
0.1%
254 1
0.1%
239 1
0.1%
231 1
0.1%
178 1
0.1%
163 1
0.1%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.0250896
Minimum0
Maximum912
Zeros566
Zeros (%)28.6%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:50.017353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum912
Range912
Interquartile range (IQR)4

Descriptive statistics

Standard deviation38.71737
Coefficient of variation (CV)6.4260239
Kurtosis396.31295
Mean6.0250896
Median Absolute Deviation (MAD)1
Skewness18.876094
Sum11767
Variance1499.0347
MonotonicityNot monotonic
2024-04-06T17:47:50.387100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 566
28.6%
1 488
24.6%
2 219
 
11.1%
3 157
 
7.9%
4 119
 
6.0%
6 68
 
3.4%
5 67
 
3.4%
8 43
 
2.2%
7 33
 
1.7%
9 20
 
1.0%
Other values (58) 173
 
8.7%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 566
28.6%
1 488
24.6%
2 219
 
11.1%
3 157
 
7.9%
4 119
 
6.0%
5 67
 
3.4%
6 68
 
3.4%
7 33
 
1.7%
8 43
 
2.2%
9 20
 
1.0%
ValueCountFrequency (%)
912 1
0.1%
856 1
0.1%
816 1
0.1%
580 1
0.1%
235 1
0.1%
234 1
0.1%
230 1
0.1%
215 1
0.1%
172 1
0.1%
145 1
0.1%

2023-05
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)3.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.9190988
Minimum0
Maximum1068
Zeros531
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:50.817854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile18
Maximum1068
Range1068
Interquartile range (IQR)4

Descriptive statistics

Standard deviation44.590758
Coefficient of variation (CV)6.4445904
Kurtosis405.03795
Mean6.9190988
Median Absolute Deviation (MAD)1
Skewness19.067093
Sum13513
Variance1988.3357
MonotonicityNot monotonic
2024-04-06T17:47:51.209394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 531
26.8%
1 463
23.4%
2 226
11.4%
3 146
 
7.4%
4 105
 
5.3%
5 96
 
4.8%
6 67
 
3.4%
7 51
 
2.6%
8 34
 
1.7%
9 33
 
1.7%
Other values (60) 201
 
10.1%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 531
26.8%
1 463
23.4%
2 226
11.4%
3 146
 
7.4%
4 105
 
5.3%
5 96
 
4.8%
6 67
 
3.4%
7 51
 
2.6%
8 34
 
1.7%
9 33
 
1.7%
ValueCountFrequency (%)
1068 1
0.1%
982 1
0.1%
950 1
0.1%
636 1
0.1%
277 2
0.1%
252 1
0.1%
246 1
0.1%
172 1
0.1%
169 1
0.1%
160 1
0.1%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)3.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.7685612
Minimum0
Maximum1033
Zeros536
Zeros (%)27.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:51.585748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16.4
Maximum1033
Range1033
Interquartile range (IQR)4

Descriptive statistics

Standard deviation43.647734
Coefficient of variation (CV)6.4485986
Kurtosis399.26112
Mean6.7685612
Median Absolute Deviation (MAD)1
Skewness18.941885
Sum13219
Variance1905.1247
MonotonicityNot monotonic
2024-04-06T17:47:51.995062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 536
27.1%
1 478
24.1%
2 216
10.9%
3 141
 
7.1%
4 112
 
5.7%
5 90
 
4.5%
7 58
 
2.9%
6 57
 
2.9%
8 27
 
1.4%
9 26
 
1.3%
Other values (60) 212
 
10.7%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 536
27.1%
1 478
24.1%
2 216
10.9%
3 141
 
7.1%
4 112
 
5.7%
5 90
 
4.5%
6 57
 
2.9%
7 58
 
2.9%
8 27
 
1.4%
9 26
 
1.3%
ValueCountFrequency (%)
1033 1
0.1%
952 1
0.1%
940 1
0.1%
635 1
0.1%
282 1
0.1%
271 1
0.1%
250 1
0.1%
232 1
0.1%
200 1
0.1%
155 1
0.1%

2023-07
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.1894521
Minimum0
Maximum945
Zeros564
Zeros (%)28.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:52.395191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum945
Range945
Interquartile range (IQR)4

Descriptive statistics

Standard deviation40.116901
Coefficient of variation (CV)6.4814946
Kurtosis401.47319
Mean6.1894521
Median Absolute Deviation (MAD)1
Skewness19.003434
Sum12088
Variance1609.3657
MonotonicityNot monotonic
2024-04-06T17:47:52.778796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 564
28.5%
1 485
24.5%
2 222
 
11.2%
3 137
 
6.9%
4 104
 
5.2%
5 91
 
4.6%
6 59
 
3.0%
7 53
 
2.7%
8 35
 
1.8%
9 27
 
1.4%
Other values (58) 176
 
8.9%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 564
28.5%
1 485
24.5%
2 222
 
11.2%
3 137
 
6.9%
4 104
 
5.2%
5 91
 
4.6%
6 59
 
3.0%
7 53
 
2.7%
8 35
 
1.8%
9 27
 
1.4%
ValueCountFrequency (%)
945 1
0.1%
883 1
0.1%
867 1
0.1%
580 1
0.1%
252 1
0.1%
250 1
0.1%
225 1
0.1%
224 1
0.1%
149 1
0.1%
147 2
0.1%

2023-08
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.5391705
Minimum0
Maximum994
Zeros556
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:53.200073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile16.4
Maximum994
Range994
Interquartile range (IQR)4

Descriptive statistics

Standard deviation42.38505
Coefficient of variation (CV)6.4817166
Kurtosis401.00233
Mean6.5391705
Median Absolute Deviation (MAD)1
Skewness19.006952
Sum12771
Variance1796.4924
MonotonicityNot monotonic
2024-04-06T17:47:53.602610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 556
28.1%
1 460
23.2%
2 241
12.2%
3 129
 
6.5%
4 104
 
5.2%
5 84
 
4.2%
6 72
 
3.6%
8 40
 
2.0%
9 38
 
1.9%
7 38
 
1.9%
Other values (58) 191
 
9.6%
ValueCountFrequency (%)
0 556
28.1%
1 460
23.2%
2 241
12.2%
3 129
 
6.5%
4 104
 
5.2%
5 84
 
4.2%
6 72
 
3.6%
7 38
 
1.9%
8 40
 
2.0%
9 38
 
1.9%
ValueCountFrequency (%)
994 1
0.1%
934 1
0.1%
917 1
0.1%
622 1
0.1%
266 1
0.1%
264 1
0.1%
236 1
0.1%
229 1
0.1%
153 1
0.1%
152 2
0.1%

2023-09
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)3.6%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean6.312852
Minimum0
Maximum993
Zeros585
Zeros (%)29.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:54.040259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum993
Range993
Interquartile range (IQR)4

Descriptive statistics

Standard deviation41.045992
Coefficient of variation (CV)6.5019728
Kurtosis404.63391
Mean6.312852
Median Absolute Deviation (MAD)1
Skewness19.060915
Sum12329
Variance1684.7735
MonotonicityNot monotonic
2024-04-06T17:47:54.446455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 585
29.5%
1 454
22.9%
2 218
 
11.0%
3 139
 
7.0%
4 105
 
5.3%
5 99
 
5.0%
6 60
 
3.0%
7 44
 
2.2%
8 32
 
1.6%
10 31
 
1.6%
Other values (60) 186
 
9.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 585
29.5%
1 454
22.9%
2 218
 
11.0%
3 139
 
7.0%
4 105
 
5.3%
5 99
 
5.0%
6 60
 
3.0%
7 44
 
2.2%
8 32
 
1.6%
9 27
 
1.4%
ValueCountFrequency (%)
993 1
0.1%
897 1
0.1%
862 1
0.1%
600 1
0.1%
258 1
0.1%
242 1
0.1%
235 1
0.1%
231 1
0.1%
158 1
0.1%
155 1
0.1%

2023-10
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)3.5%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.9964158
Minimum0
Maximum915
Zeros562
Zeros (%)28.4%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:54.811742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile15
Maximum915
Range915
Interquartile range (IQR)4

Descriptive statistics

Standard deviation38.368595
Coefficient of variation (CV)6.3985881
Kurtosis402.2473
Mean5.9964158
Median Absolute Deviation (MAD)1
Skewness19.015056
Sum11711
Variance1472.1491
MonotonicityNot monotonic
2024-04-06T17:47:55.241842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 562
28.4%
1 476
24.0%
2 239
12.1%
3 141
 
7.1%
4 112
 
5.7%
5 87
 
4.4%
6 66
 
3.3%
7 41
 
2.1%
8 33
 
1.7%
9 33
 
1.7%
Other values (59) 163
 
8.2%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 562
28.4%
1 476
24.0%
2 239
12.1%
3 141
 
7.1%
4 112
 
5.7%
5 87
 
4.4%
6 66
 
3.3%
7 41
 
2.1%
8 33
 
1.7%
9 33
 
1.7%
ValueCountFrequency (%)
915 1
0.1%
875 1
0.1%
763 1
0.1%
591 1
0.1%
264 1
0.1%
225 1
0.1%
203 1
0.1%
192 1
0.1%
139 1
0.1%
138 1
0.1%

2023-11
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)3.4%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean5.6610343
Minimum0
Maximum859
Zeros557
Zeros (%)28.1%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:55.641456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile14
Maximum859
Range859
Interquartile range (IQR)4

Descriptive statistics

Standard deviation36.26027
Coefficient of variation (CV)6.4052376
Kurtosis406.73032
Mean5.6610343
Median Absolute Deviation (MAD)1
Skewness19.14443
Sum11056
Variance1314.8072
MonotonicityNot monotonic
2024-04-06T17:47:56.001716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 557
28.1%
1 497
25.1%
2 233
11.8%
3 168
 
8.5%
4 106
 
5.4%
5 80
 
4.0%
6 61
 
3.1%
7 52
 
2.6%
8 30
 
1.5%
10 19
 
1.0%
Other values (56) 150
 
7.6%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 557
28.1%
1 497
25.1%
2 233
11.8%
3 168
 
8.5%
4 106
 
5.4%
5 80
 
4.0%
6 61
 
3.1%
7 52
 
2.6%
8 30
 
1.5%
9 17
 
0.9%
ValueCountFrequency (%)
859 1
0.1%
834 1
0.1%
730 1
0.1%
562 1
0.1%
210 1
0.1%
197 1
0.1%
189 1
0.1%
172 1
0.1%
158 1
0.1%
141 1
0.1%

2023-12
Real number (ℝ)

MISSING  ZEROS 

Distinct61
Distinct (%)3.1%
Missing28
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean4.7767537
Minimum0
Maximum712
Zeros605
Zeros (%)30.5%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:56.410655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile12
Maximum712
Range712
Interquartile range (IQR)3

Descriptive statistics

Standard deviation29.971816
Coefficient of variation (CV)6.2745157
Kurtosis396.98109
Mean4.7767537
Median Absolute Deviation (MAD)1
Skewness18.870979
Sum9329
Variance898.30977
MonotonicityNot monotonic
2024-04-06T17:47:56.820606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 605
30.5%
1 533
26.9%
2 243
12.3%
3 164
 
8.3%
4 89
 
4.5%
5 63
 
3.2%
6 53
 
2.7%
7 32
 
1.6%
8 27
 
1.4%
10 17
 
0.9%
Other values (51) 127
 
6.4%
(Missing) 28
 
1.4%
ValueCountFrequency (%)
0 605
30.5%
1 533
26.9%
2 243
12.3%
3 164
 
8.3%
4 89
 
4.5%
5 63
 
3.2%
6 53
 
2.7%
7 32
 
1.6%
8 27
 
1.4%
9 12
 
0.6%
ValueCountFrequency (%)
712 1
0.1%
671 1
0.1%
609 1
0.1%
463 1
0.1%
183 1
0.1%
175 1
0.1%
161 1
0.1%
146 1
0.1%
141 1
0.1%
126 1
0.1%

2024-01
Real number (ℝ)

ZEROS 

Distinct61
Distinct (%)3.1%
Missing7
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean5.3054711
Minimum0
Maximum804
Zeros615
Zeros (%)31.0%
Negative0
Negative (%)0.0%
Memory size17.5 KiB
2024-04-06T17:47:57.262055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q34
95-th percentile13
Maximum804
Range804
Interquartile range (IQR)4

Descriptive statistics

Standard deviation34.113008
Coefficient of variation (CV)6.4297792
Kurtosis402.39496
Mean5.3054711
Median Absolute Deviation (MAD)1
Skewness19.079254
Sum10473
Variance1163.6973
MonotonicityNot monotonic
2024-04-06T17:47:57.696092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 615
31.0%
1 478
24.1%
2 236
 
11.9%
3 150
 
7.6%
4 131
 
6.6%
5 75
 
3.8%
6 51
 
2.6%
8 40
 
2.0%
7 38
 
1.9%
9 21
 
1.1%
Other values (51) 139
 
7.0%
ValueCountFrequency (%)
0 615
31.0%
1 478
24.1%
2 236
 
11.9%
3 150
 
7.6%
4 131
 
6.6%
5 75
 
3.8%
6 51
 
2.6%
7 38
 
1.9%
8 40
 
2.0%
9 21
 
1.1%
ValueCountFrequency (%)
804 1
0.1%
755 1
0.1%
725 1
0.1%
542 1
0.1%
214 1
0.1%
189 1
0.1%
187 1
0.1%
180 1
0.1%
127 1
0.1%
120 2
0.1%

Sample

지역 및 매입자연령대2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
0전국 /20대이하15113114816315916019718518423526234529732430320822739343625427233544260336031835535738634335037333730328824817416720422124818114913112112311911894127163139169150149152158139141126120
1전국 /30대7606777288208318001032107010231316151819411707187815991026115921332285146814251548205225781522138315471377148513021391143313141080951746588607736796864661508451429411399409388725900816950940883934862763730609725
2전국 /40대1076903103611751156114713901388137818372125273523122520218314101610287730201769174119492585291017451679190316681743161416021626149313621183914709721885992103382866758054753850848744178899991210681033945994993915859712804
3전국 /50대9308349981131112110561282125512051520169020941803203119991353149124312506150714551567199322361447145917281655162914891431140812561183110387469372292710051110912706660585580546489445709944856982952867917897875834671755
4전국 /60대55350262267565661872976669287194611851079124712308539221470159299097110651288149299498912251171114310511020989885887818623514520666715785645504473429428388332304510606580636635580622600591562463542
5전국 /70대이상224195331273272256308302297364393480425491487341375597694458437472574652450464586539545487471451407406368287229241307333366285220191180162153125125194239230252232224229231264210183214
6전국 /기타4152363453864174174914134244725668085867268696187941146856581387427442575463358447525670570632588603598622561331326441405491423331298269232215226141112178172172200147153125138158175127
7서울 /20대이하14111317181926272331355242383422204971322935325537403237444338413433332620181823312018141711910810121416141716171314119
8서울 /30대66566678106111184226204234290363277278256114135318469246186180166314220200181166206163186182159113103796057618099695140373024283159899011311710912111189736072
9서울 /40대10174841161451592442812452783664623413062891391783555282731901751692901972141821932041681791861541241058654616085105806348433129333469919611412611412112998836385
지역 및 매입자연령대2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-01
1971제주 제주시/60대4354343665565544357455777699995575666676744644343453234334645
1972제주 제주시/70대이상2211112211121211112211244322232133222232321121102111111112112
1973제주 제주시/기타815653384541253910589332132333373443583242554523231021451151431
1974제주 서귀포시/20대이하1001000000010110110111111112112110101010110111000012100011011
1975제주 서귀포시/30대2222212213122222235233555444443434444334433232313234332231412
1976제주 서귀포시/40대454344432444443335646681099897910885867689975442332347653243533
1977제주 서귀포시/50대4245434313445453455346558676795444456476763235422377554533234
1978제주 서귀포시/60대2223212122121322223323354343443223323243443332211323322312223
1979제주 서귀포시/70대이상1111100000101110121111122122120111111122110111110012201101101
1980제주 서귀포시/기타11122123242434233952012212136332222111115141101112012220112110