Overview

Dataset statistics

Number of variables55
Number of observations2232
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 MiB
Average record size in memory494.1 B

Variable types

Text1
Numeric54

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 거래규모별(면적) 데이터입니다. -(단위 : 천㎡) - 공표시기 : 익월 말일경
URLhttps://www.data.go.kr/data/15068118/fileData.do

Alerts

2019-04 is highly skewed (γ1 = 21.29764592)Skewed
2019-05 is highly skewed (γ1 = 22.0461865)Skewed
2019-06 is highly skewed (γ1 = 21.099563)Skewed
2019-09 is highly skewed (γ1 = 20.0397259)Skewed
2020-04 is highly skewed (γ1 = 21.71328372)Skewed
2020-05 is highly skewed (γ1 = 21.08613751)Skewed
2020-06 is highly skewed (γ1 = 22.00372759)Skewed
2020-09 is highly skewed (γ1 = 21.40209914)Skewed
2021-12 is highly skewed (γ1 = 20.07583222)Skewed
2022-06 is highly skewed (γ1 = 22.98247467)Skewed
2022-07 is highly skewed (γ1 = 20.41568378)Skewed
2022-08 is highly skewed (γ1 = 20.11268708)Skewed
2022-09 is highly skewed (γ1 = 20.27718335)Skewed
2022-10 is highly skewed (γ1 = 22.51806008)Skewed
2022-11 is highly skewed (γ1 = 20.97910827)Skewed
2022-12 is highly skewed (γ1 = 26.64612408)Skewed
2023-02 is highly skewed (γ1 = 20.31432069)Skewed
2023-05 is highly skewed (γ1 = 23.10422853)Skewed
2023-06 is highly skewed (γ1 = 25.92836991)Skewed
지역_거래규모 has unique valuesUnique
2019-01 has 381 (17.1%) zerosZeros
2019-02 has 443 (19.8%) zerosZeros
2019-03 has 395 (17.7%) zerosZeros
2019-04 has 398 (17.8%) zerosZeros
2019-05 has 376 (16.8%) zerosZeros
2019-06 has 406 (18.2%) zerosZeros
2019-07 has 381 (17.1%) zerosZeros
2019-08 has 402 (18.0%) zerosZeros
2019-09 has 419 (18.8%) zerosZeros
2019-10 has 410 (18.4%) zerosZeros
2019-11 has 408 (18.3%) zerosZeros
2019-12 has 376 (16.8%) zerosZeros
2020-01 has 408 (18.3%) zerosZeros
2020-02 has 390 (17.5%) zerosZeros
2020-03 has 359 (16.1%) zerosZeros
2020-04 has 396 (17.7%) zerosZeros
2020-05 has 383 (17.2%) zerosZeros
2020-06 has 362 (16.2%) zerosZeros
2020-07 has 352 (15.8%) zerosZeros
2020-08 has 397 (17.8%) zerosZeros
2020-09 has 394 (17.7%) zerosZeros
2020-10 has 403 (18.1%) zerosZeros
2020-11 has 371 (16.6%) zerosZeros
2020-12 has 330 (14.8%) zerosZeros
2021-01 has 392 (17.6%) zerosZeros
2021-02 has 397 (17.8%) zerosZeros
2021-03 has 346 (15.5%) zerosZeros
2021-04 has 349 (15.6%) zerosZeros
2021-05 has 358 (16.0%) zerosZeros
2021-06 has 350 (15.7%) zerosZeros
2021-07 has 356 (15.9%) zerosZeros
2021-08 has 380 (17.0%) zerosZeros
2021-09 has 406 (18.2%) zerosZeros
2021-10 has 403 (18.1%) zerosZeros
2021-11 has 383 (17.2%) zerosZeros
2021-12 has 305 (13.7%) zerosZeros
2022-01 has 397 (17.8%) zerosZeros
2022-02 has 441 (19.8%) zerosZeros
2022-03 has 400 (17.9%) zerosZeros
2022-04 has 397 (17.8%) zerosZeros
2022-05 has 391 (17.5%) zerosZeros
2022-06 has 395 (17.7%) zerosZeros
2022-07 has 433 (19.4%) zerosZeros
2022-08 has 491 (22.0%) zerosZeros
2022-09 has 478 (21.4%) zerosZeros
2022-10 has 505 (22.6%) zerosZeros
2022-11 has 525 (23.5%) zerosZeros
2022-12 has 480 (21.5%) zerosZeros
2023-01 has 561 (25.1%) zerosZeros
2023-02 has 549 (24.6%) zerosZeros
2023-03 has 519 (23.3%) zerosZeros
2023-04 has 515 (23.1%) zerosZeros
2023-05 has 478 (21.4%) zerosZeros
2023-06 has 489 (21.9%) zerosZeros

Reproduction

Analysis started2023-12-12 20:53:59.138313
Analysis finished2023-12-12 20:53:59.709662
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_거래규모
Text

UNIQUE 

Distinct2232
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size17.6 KiB
2023-12-13T05:53:59.833183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length17.675627
Min length9

Characters and Unicode

Total characters39452
Distinct characters154
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2232 ?
Unique (%)100.0%

Sample

1st row전국_330㎡이하
2nd row전국_331~660㎡
3rd row전국_661~1,000㎡
4th row전국_1,001~2,000㎡
5th row전국_2,001~5,000㎡
ValueCountFrequency (%)
경기 384
 
8.4%
서울 200
 
4.4%
경북 200
 
4.4%
경남 184
 
4.0%
전남 176
 
3.8%
강원 144
 
3.1%
충남 136
 
3.0%
부산 128
 
2.8%
전북 128
 
2.8%
충북 120
 
2.6%
Other values (2050) 2784
60.7%
2023-12-13T05:54:00.190146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8370
21.2%
1 2790
 
7.1%
, 2790
 
7.1%
2352
 
6.0%
_ 2232
 
5.7%
3 2232
 
5.7%
㎡ 2232
 
5.7%
~ 1674
 
4.2%
6 1116
 
2.8%
구 928
 
2.4%
Other values (144) 12736
32.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15624
39.6%
Other Letter 12548
31.8%
Other Punctuation 2790
 
7.1%
Space Separator 2352
 
6.0%
Connector Punctuation 2232
 
5.7%
Other Symbol 2232
 
5.7%
Math Symbol 1674
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 928
 
7.4%
시 888
 
7.1%
경 816
 
6.5%
군 680
 
5.4%
남 656
 
5.2%
북 536
 
4.3%
기 408
 
3.3%
전 400
 
3.2%
산 376
 
3.0%
서 336
 
2.7%
Other values (133) 6524
52.0%
Decimal Number
ValueCountFrequency (%)
0 8370
53.6%
1 2790
 
17.9%
3 2232
 
14.3%
6 1116
 
7.1%
2 558
 
3.6%
5 558
 
3.6%
Other Punctuation
ValueCountFrequency (%)
, 2790
100.0%
Space Separator
ValueCountFrequency (%)
2352
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2232
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2232
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1674
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26904
68.2%
Hangul 12548
31.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 928
 
7.4%
시 888
 
7.1%
경 816
 
6.5%
군 680
 
5.4%
남 656
 
5.2%
북 536
 
4.3%
기 408
 
3.3%
전 400
 
3.2%
산 376
 
3.0%
서 336
 
2.7%
Other values (133) 6524
52.0%
Common
ValueCountFrequency (%)
0 8370
31.1%
1 2790
 
10.4%
, 2790
 
10.4%
2352
 
8.7%
_ 2232
 
8.3%
3 2232
 
8.3%
㎡ 2232
 
8.3%
~ 1674
 
6.2%
6 1116
 
4.1%
2 558
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24672
62.5%
Hangul 12548
31.8%
CJK Compat 2232
 
5.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8370
33.9%
1 2790
 
11.3%
, 2790
 
11.3%
2352
 
9.5%
_ 2232
 
9.0%
3 2232
 
9.0%
~ 1674
 
6.8%
6 1116
 
4.5%
2 558
 
2.3%
5 558
 
2.3%
CJK Compat
ValueCountFrequency (%)
㎡ 2232
100.0%
Hangul
ValueCountFrequency (%)
구 928
 
7.4%
시 888
 
7.1%
경 816
 
6.5%
군 680
 
5.4%
남 656
 
5.2%
북 536
 
4.3%
기 408
 
3.3%
전 400
 
3.2%
산 376
 
3.0%
서 336
 
2.7%
Other values (133) 6524
52.0%

2019-01
Real number (ℝ)

ZEROS 

Distinct352
Distinct (%)15.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.73477
Minimum0
Maximum27356
Zeros381
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:00.318235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median26
Q380
95-th percentile321.45
Maximum27356
Range27356
Interquartile range (IQR)75

Descriptive statistics

Standard deviation952.2278
Coefficient of variation (CV)6.5791228
Kurtosis464.89663
Mean144.73477
Median Absolute Deviation (MAD)26
Skewness19.635915
Sum323048
Variance906737.79
MonotonicityNot monotonic
2023-12-13T05:54:00.430632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 381
 
17.1%
1 54
 
2.4%
2 48
 
2.2%
14 45
 
2.0%
7 37
 
1.7%
4 33
 
1.5%
13 33
 
1.5%
6 33
 
1.5%
15 32
 
1.4%
20 32
 
1.4%
Other values (342) 1504
67.4%
ValueCountFrequency (%)
0 381
17.1%
1 54
 
2.4%
2 48
 
2.2%
3 30
 
1.3%
4 33
 
1.5%
5 28
 
1.3%
6 33
 
1.5%
7 37
 
1.7%
8 26
 
1.2%
9 20
 
0.9%
ValueCountFrequency (%)
27356 1
< 0.1%
21540 1
< 0.1%
15416 1
< 0.1%
13453 1
< 0.1%
9207 1
< 0.1%
6406 1
< 0.1%
5763 1
< 0.1%
5710 1
< 0.1%
5516 1
< 0.1%
4559 1
< 0.1%

2019-02
Real number (ℝ)

ZEROS 

Distinct317
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.24552
Minimum0
Maximum22086
Zeros443
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:00.549951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q361
95-th percentile269.45
Maximum22086
Range22086
Interquartile range (IQR)58

Descriptive statistics

Standard deviation784.4851
Coefficient of variation (CV)6.6909601
Kurtosis462.00016
Mean117.24552
Median Absolute Deviation (MAD)20
Skewness19.623866
Sum261692
Variance615416.87
MonotonicityNot monotonic
2023-12-13T05:54:00.660601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 443
 
19.8%
2 52
 
2.3%
12 49
 
2.2%
1 48
 
2.2%
3 43
 
1.9%
11 39
 
1.7%
5 39
 
1.7%
13 36
 
1.6%
15 33
 
1.5%
4 33
 
1.5%
Other values (307) 1417
63.5%
ValueCountFrequency (%)
0 443
19.8%
1 48
 
2.2%
2 52
 
2.3%
3 43
 
1.9%
4 33
 
1.5%
5 39
 
1.7%
6 32
 
1.4%
7 32
 
1.4%
8 26
 
1.2%
9 27
 
1.2%
ValueCountFrequency (%)
22086 1
< 0.1%
18531 1
< 0.1%
12590 1
< 0.1%
11189 1
< 0.1%
7120 1
< 0.1%
5154 1
< 0.1%
4531 1
< 0.1%
4344 1
< 0.1%
4202 1
< 0.1%
3869 1
< 0.1%

2019-03
Real number (ℝ)

ZEROS 

Distinct360
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.20475
Minimum0
Maximum24226
Zeros395
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:00.833931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14.75
median26
Q378
95-th percentile319.25
Maximum24226
Range24226
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation956.48454
Coefficient of variation (CV)6.5420894
Kurtosis415.1172
Mean146.20475
Median Absolute Deviation (MAD)26
Skewness18.726206
Sum326329
Variance914862.67
MonotonicityNot monotonic
2023-12-13T05:54:00.954422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
 
17.7%
1 54
 
2.4%
2 50
 
2.2%
6 38
 
1.7%
12 35
 
1.6%
3 34
 
1.5%
7 33
 
1.5%
11 31
 
1.4%
18 30
 
1.3%
22 30
 
1.3%
Other values (350) 1502
67.3%
ValueCountFrequency (%)
0 395
17.7%
1 54
 
2.4%
2 50
 
2.2%
3 34
 
1.5%
4 25
 
1.1%
5 19
 
0.9%
6 38
 
1.7%
7 33
 
1.5%
8 22
 
1.0%
9 27
 
1.2%
ValueCountFrequency (%)
24226 1
< 0.1%
24029 1
< 0.1%
15785 1
< 0.1%
14533 1
< 0.1%
9710 1
< 0.1%
6490 1
< 0.1%
5913 1
< 0.1%
5799 1
< 0.1%
5713 1
< 0.1%
4340 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct361
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.85125
Minimum0
Maximum36024
Zeros398
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:01.075380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q380
95-th percentile343
Maximum36024
Range36024
Interquartile range (IQR)76

Descriptive statistics

Standard deviation1122.6156
Coefficient of variation (CV)6.9792156
Kurtosis569.1392
Mean160.85125
Median Absolute Deviation (MAD)27
Skewness21.297646
Sum359020
Variance1260265.8
MonotonicityNot monotonic
2023-12-13T05:54:01.193921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 398
 
17.8%
1 58
 
2.6%
2 56
 
2.5%
3 34
 
1.5%
14 32
 
1.4%
13 32
 
1.4%
12 31
 
1.4%
6 31
 
1.4%
5 30
 
1.3%
22 28
 
1.3%
Other values (351) 1502
67.3%
ValueCountFrequency (%)
0 398
17.8%
1 58
 
2.6%
2 56
 
2.5%
3 34
 
1.5%
4 25
 
1.1%
5 30
 
1.3%
6 31
 
1.4%
7 9
 
0.4%
8 18
 
0.8%
9 25
 
1.1%
ValueCountFrequency (%)
36024 1
< 0.1%
21983 1
< 0.1%
16702 1
< 0.1%
14593 1
< 0.1%
9674 1
< 0.1%
9116 1
< 0.1%
6850 1
< 0.1%
6584 1
< 0.1%
6031 1
< 0.1%
5912 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct359
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.45296
Minimum0
Maximum35254
Zeros376
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:01.314878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q378
95-th percentile376.35
Maximum35254
Range35254
Interquartile range (IQR)73

Descriptive statistics

Standard deviation1071.0674
Coefficient of variation (CV)6.9345869
Kurtosis610.61999
Mean154.45296
Median Absolute Deviation (MAD)27
Skewness22.046187
Sum344739
Variance1147185.5
MonotonicityNot monotonic
2023-12-13T05:54:01.442145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 376
 
16.8%
2 53
 
2.4%
1 50
 
2.2%
3 41
 
1.8%
7 37
 
1.7%
18 37
 
1.7%
12 36
 
1.6%
25 33
 
1.5%
19 29
 
1.3%
5 29
 
1.3%
Other values (349) 1511
67.7%
ValueCountFrequency (%)
0 376
16.8%
1 50
 
2.2%
2 53
 
2.4%
3 41
 
1.8%
4 26
 
1.2%
5 29
 
1.3%
6 29
 
1.3%
7 37
 
1.7%
8 23
 
1.0%
9 22
 
1.0%
ValueCountFrequency (%)
35254 1
< 0.1%
19622 1
< 0.1%
17526 1
< 0.1%
13389 1
< 0.1%
8937 1
< 0.1%
6838 1
< 0.1%
6335 1
< 0.1%
5942 1
< 0.1%
5616 1
< 0.1%
5303 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct325
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.72849
Minimum0
Maximum27638
Zeros406
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:01.565124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.75
median23
Q362
95-th percentile299.35
Maximum27638
Range27638
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation868.77498
Coefficient of variation (CV)6.8554036
Kurtosis555.80309
Mean126.72849
Median Absolute Deviation (MAD)23
Skewness21.099563
Sum282858
Variance754769.96
MonotonicityNot monotonic
2023-12-13T05:54:01.674225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 406
 
18.2%
2 59
 
2.6%
1 48
 
2.2%
3 45
 
2.0%
14 38
 
1.7%
20 35
 
1.6%
6 34
 
1.5%
15 34
 
1.5%
13 32
 
1.4%
4 32
 
1.4%
Other values (315) 1469
65.8%
ValueCountFrequency (%)
0 406
18.2%
1 48
 
2.2%
2 59
 
2.6%
3 45
 
2.0%
4 32
 
1.4%
5 29
 
1.3%
6 34
 
1.5%
7 28
 
1.3%
8 30
 
1.3%
9 28
 
1.3%
ValueCountFrequency (%)
27638 1
< 0.1%
16018 1
< 0.1%
15137 1
< 0.1%
10871 1
< 0.1%
7309 1
< 0.1%
6739 1
< 0.1%
6044 1
< 0.1%
4819 1
< 0.1%
4458 1
< 0.1%
4138 1
< 0.1%

2019-07
Real number (ℝ)

ZEROS 

Distinct331
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.70744
Minimum0
Maximum21608
Zeros381
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:02.055168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q370.25
95-th percentile303.35
Maximum21608
Range21608
Interquartile range (IQR)65.25

Descriptive statistics

Standard deviation825.77206
Coefficient of variation (CV)6.3664202
Kurtosis390.43436
Mean129.70744
Median Absolute Deviation (MAD)26
Skewness18.196804
Sum289507
Variance681899.49
MonotonicityNot monotonic
2023-12-13T05:54:02.192226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 381
 
17.1%
2 50
 
2.2%
3 49
 
2.2%
11 36
 
1.6%
10 35
 
1.6%
1 34
 
1.5%
6 33
 
1.5%
4 32
 
1.4%
14 31
 
1.4%
13 31
 
1.4%
Other values (321) 1520
68.1%
ValueCountFrequency (%)
0 381
17.1%
1 34
 
1.5%
2 50
 
2.2%
3 49
 
2.2%
4 32
 
1.4%
5 30
 
1.3%
6 33
 
1.5%
7 26
 
1.2%
8 26
 
1.2%
9 26
 
1.2%
ValueCountFrequency (%)
21608 1
< 0.1%
17844 1
< 0.1%
16182 1
< 0.1%
11949 1
< 0.1%
8509 1
< 0.1%
7085 1
< 0.1%
5393 1
< 0.1%
5244 1
< 0.1%
4037 1
< 0.1%
3979 1
< 0.1%

2019-08
Real number (ℝ)

ZEROS 

Distinct310
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean116.92697
Minimum0
Maximum21586
Zeros402
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:02.326876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q360
95-th percentile255.35
Maximum21586
Range21586
Interquartile range (IQR)56

Descriptive statistics

Standard deviation762.37732
Coefficient of variation (CV)6.5201151
Kurtosis433.64485
Mean116.92697
Median Absolute Deviation (MAD)23
Skewness18.965195
Sum260981
Variance581219.17
MonotonicityNot monotonic
2023-12-13T05:54:02.459558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 402
 
18.0%
1 52
 
2.3%
2 46
 
2.1%
8 38
 
1.7%
3 38
 
1.7%
5 36
 
1.6%
7 35
 
1.6%
4 35
 
1.6%
6 34
 
1.5%
11 33
 
1.5%
Other values (300) 1483
66.4%
ValueCountFrequency (%)
0 402
18.0%
1 52
 
2.3%
2 46
 
2.1%
3 38
 
1.7%
4 35
 
1.6%
5 36
 
1.6%
6 34
 
1.5%
7 35
 
1.6%
8 38
 
1.7%
9 33
 
1.5%
ValueCountFrequency (%)
21586 1
< 0.1%
15275 1
< 0.1%
14757 1
< 0.1%
10246 1
< 0.1%
7463 1
< 0.1%
6525 1
< 0.1%
5111 1
< 0.1%
4601 1
< 0.1%
4479 1
< 0.1%
3276 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct292
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean105.88799
Minimum0
Maximum21552
Zeros419
Zeros (%)18.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:02.597337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q354
95-th percentile226
Maximum21552
Range21552
Interquartile range (IQR)51

Descriptive statistics

Standard deviation705.46835
Coefficient of variation (CV)6.6624017
Kurtosis498.99429
Mean105.88799
Median Absolute Deviation (MAD)20
Skewness20.039726
Sum236342
Variance497685.59
MonotonicityNot monotonic
2023-12-13T05:54:02.750900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 419
 
18.8%
1 61
 
2.7%
2 60
 
2.7%
5 51
 
2.3%
10 43
 
1.9%
9 37
 
1.7%
3 37
 
1.7%
7 37
 
1.7%
11 37
 
1.7%
4 36
 
1.6%
Other values (282) 1414
63.4%
ValueCountFrequency (%)
0 419
18.8%
1 61
 
2.7%
2 60
 
2.7%
3 37
 
1.7%
4 36
 
1.6%
5 51
 
2.3%
6 34
 
1.5%
7 37
 
1.7%
8 32
 
1.4%
9 37
 
1.7%
ValueCountFrequency (%)
21552 1
< 0.1%
13722 1
< 0.1%
11976 1
< 0.1%
9006 1
< 0.1%
6626 1
< 0.1%
6140 1
< 0.1%
4899 1
< 0.1%
4150 1
< 0.1%
4137 1
< 0.1%
3834 1
< 0.1%

2019-10
Real number (ℝ)

ZEROS 

Distinct314
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121.17025
Minimum0
Maximum20929
Zeros410
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:02.896729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24.5
Q362.25
95-th percentile284
Maximum20929
Range20929
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation778.48447
Coefficient of variation (CV)6.4247161
Kurtosis402.13494
Mean121.17025
Median Absolute Deviation (MAD)24.5
Skewness18.378481
Sum270452
Variance606038.06
MonotonicityNot monotonic
2023-12-13T05:54:03.038190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 410
 
18.4%
2 50
 
2.2%
1 49
 
2.2%
3 42
 
1.9%
14 37
 
1.7%
6 36
 
1.6%
5 35
 
1.6%
8 35
 
1.6%
13 33
 
1.5%
23 31
 
1.4%
Other values (304) 1474
66.0%
ValueCountFrequency (%)
0 410
18.4%
1 49
 
2.2%
2 50
 
2.2%
3 42
 
1.9%
4 26
 
1.2%
5 35
 
1.6%
6 36
 
1.6%
7 30
 
1.3%
8 35
 
1.6%
9 21
 
0.9%
ValueCountFrequency (%)
20929 1
< 0.1%
17019 1
< 0.1%
14188 1
< 0.1%
11198 1
< 0.1%
7475 1
< 0.1%
7340 1
< 0.1%
5214 1
< 0.1%
5110 1
< 0.1%
4663 1
< 0.1%
3226 1
< 0.1%

2019-11
Real number (ℝ)

ZEROS 

Distinct334
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134.66443
Minimum0
Maximum27390
Zeros408
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:03.184861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q367
95-th percentile301.45
Maximum27390
Range27390
Interquartile range (IQR)63

Descriptive statistics

Standard deviation907.94879
Coefficient of variation (CV)6.7423061
Kurtosis487.03439
Mean134.66443
Median Absolute Deviation (MAD)25
Skewness19.801586
Sum300571
Variance824371
MonotonicityNot monotonic
2023-12-13T05:54:03.352336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 408
 
18.3%
2 45
 
2.0%
3 43
 
1.9%
5 41
 
1.8%
1 40
 
1.8%
4 37
 
1.7%
10 33
 
1.5%
7 33
 
1.5%
12 32
 
1.4%
11 32
 
1.4%
Other values (324) 1488
66.7%
ValueCountFrequency (%)
0 408
18.3%
1 40
 
1.8%
2 45
 
2.0%
3 43
 
1.9%
4 37
 
1.7%
5 41
 
1.8%
6 26
 
1.2%
7 33
 
1.5%
8 29
 
1.3%
9 31
 
1.4%
ValueCountFrequency (%)
27390 1
< 0.1%
18883 1
< 0.1%
13548 1
< 0.1%
11834 1
< 0.1%
8026 1
< 0.1%
8025 1
< 0.1%
7776 1
< 0.1%
6316 1
< 0.1%
4958 1
< 0.1%
4787 1
< 0.1%

2019-12
Real number (ℝ)

ZEROS 

Distinct361
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.15323
Minimum0
Maximum30012
Zeros376
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:03.519354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median30
Q383
95-th percentile367.9
Maximum30012
Range30012
Interquartile range (IQR)78

Descriptive statistics

Standard deviation1018.4766
Coefficient of variation (CV)6.6069108
Kurtosis470.26058
Mean154.15323
Median Absolute Deviation (MAD)29
Skewness19.600721
Sum344070
Variance1037294.6
MonotonicityNot monotonic
2023-12-13T05:54:03.675020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 376
 
16.8%
1 48
 
2.2%
2 46
 
2.1%
3 43
 
1.9%
5 31
 
1.4%
4 31
 
1.4%
14 29
 
1.3%
9 29
 
1.3%
15 27
 
1.2%
8 27
 
1.2%
Other values (351) 1545
69.2%
ValueCountFrequency (%)
0 376
16.8%
1 48
 
2.2%
2 46
 
2.1%
3 43
 
1.9%
4 31
 
1.4%
5 31
 
1.4%
6 23
 
1.0%
7 26
 
1.2%
8 27
 
1.2%
9 29
 
1.3%
ValueCountFrequency (%)
30012 1
< 0.1%
21763 1
< 0.1%
16021 1
< 0.1%
13864 1
< 0.1%
9694 1
< 0.1%
9127 1
< 0.1%
7743 1
< 0.1%
5581 1
< 0.1%
5553 1
< 0.1%
4578 1
< 0.1%

2020-01
Real number (ℝ)

ZEROS 

Distinct311
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.59901
Minimum0
Maximum18285
Zeros408
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:03.817804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q365
95-th percentile248
Maximum18285
Range18285
Interquartile range (IQR)61

Descriptive statistics

Standard deviation740.31942
Coefficient of variation (CV)6.295286
Kurtosis371.00819
Mean117.59901
Median Absolute Deviation (MAD)25
Skewness17.709803
Sum262481
Variance548072.85
MonotonicityNot monotonic
2023-12-13T05:54:03.948614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 408
 
18.3%
2 59
 
2.6%
1 51
 
2.3%
3 38
 
1.7%
11 36
 
1.6%
6 34
 
1.5%
4 33
 
1.5%
16 33
 
1.5%
7 31
 
1.4%
9 31
 
1.4%
Other values (301) 1478
66.2%
ValueCountFrequency (%)
0 408
18.3%
1 51
 
2.3%
2 59
 
2.6%
3 38
 
1.7%
4 33
 
1.5%
5 30
 
1.3%
6 34
 
1.5%
7 31
 
1.4%
8 25
 
1.1%
9 31
 
1.4%
ValueCountFrequency (%)
18285 1
< 0.1%
17699 1
< 0.1%
12194 1
< 0.1%
11069 1
< 0.1%
8421 1
< 0.1%
7666 1
< 0.1%
4977 1
< 0.1%
4806 1
< 0.1%
4117 1
< 0.1%
3222 1
< 0.1%

2020-02
Real number (ℝ)

ZEROS 

Distinct343
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean148.56228
Minimum0
Maximum28936
Zeros390
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:04.108337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median28
Q375
95-th percentile348
Maximum28936
Range28936
Interquartile range (IQR)70

Descriptive statistics

Standard deviation996.46323
Coefficient of variation (CV)6.7073772
Kurtosis470.967
Mean148.56228
Median Absolute Deviation (MAD)27
Skewness19.612856
Sum331591
Variance992938.97
MonotonicityNot monotonic
2023-12-13T05:54:04.260754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 390
 
17.5%
2 47
 
2.1%
3 47
 
2.1%
1 42
 
1.9%
5 37
 
1.7%
8 37
 
1.7%
7 32
 
1.4%
6 31
 
1.4%
14 31
 
1.4%
11 30
 
1.3%
Other values (333) 1508
67.6%
ValueCountFrequency (%)
0 390
17.5%
1 42
 
1.9%
2 47
 
2.1%
3 47
 
2.1%
4 30
 
1.3%
5 37
 
1.7%
6 31
 
1.4%
7 32
 
1.4%
8 37
 
1.7%
9 22
 
1.0%
ValueCountFrequency (%)
28936 1
< 0.1%
22874 1
< 0.1%
13689 1
< 0.1%
13651 1
< 0.1%
9260 1
< 0.1%
8773 1
< 0.1%
7892 1
< 0.1%
5546 1
< 0.1%
5256 1
< 0.1%
4523 1
< 0.1%

2020-03
Real number (ℝ)

ZEROS 

Distinct363
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.92384
Minimum0
Maximum27437
Zeros359
Zeros (%)16.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:04.406458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median28
Q382.25
95-th percentile364.45
Maximum27437
Range27437
Interquartile range (IQR)77.25

Descriptive statistics

Standard deviation1037.8046
Coefficient of variation (CV)6.5302012
Kurtosis425.06585
Mean158.92384
Median Absolute Deviation (MAD)28
Skewness18.867669
Sum354718
Variance1077038.4
MonotonicityNot monotonic
2023-12-13T05:54:04.529565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 359
 
16.1%
5 48
 
2.2%
3 46
 
2.1%
2 45
 
2.0%
4 38
 
1.7%
13 34
 
1.5%
27 33
 
1.5%
17 32
 
1.4%
10 30
 
1.3%
6 30
 
1.3%
Other values (353) 1537
68.9%
ValueCountFrequency (%)
0 359
16.1%
1 28
 
1.3%
2 45
 
2.0%
3 46
 
2.1%
4 38
 
1.7%
5 48
 
2.2%
6 30
 
1.3%
7 30
 
1.3%
8 26
 
1.2%
9 25
 
1.1%
ValueCountFrequency (%)
27437 1
< 0.1%
25461 1
< 0.1%
16172 1
< 0.1%
15382 1
< 0.1%
10318 1
< 0.1%
9183 1
< 0.1%
5928 1
< 0.1%
5761 1
< 0.1%
4700 1
< 0.1%
4407 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct341
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean158.73432
Minimum0
Maximum39746
Zeros396
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:04.707603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median25
Q372
95-th percentile316.35
Maximum39746
Range39746
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1210.6644
Coefficient of variation (CV)7.6269856
Kurtosis594.62629
Mean158.73432
Median Absolute Deviation (MAD)25
Skewness21.713284
Sum354295
Variance1465708.2
MonotonicityNot monotonic
2023-12-13T05:54:04.913311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 396
 
17.7%
1 53
 
2.4%
6 43
 
1.9%
2 42
 
1.9%
3 39
 
1.7%
5 38
 
1.7%
14 37
 
1.7%
13 36
 
1.6%
10 33
 
1.5%
11 32
 
1.4%
Other values (331) 1483
66.4%
ValueCountFrequency (%)
0 396
17.7%
1 53
 
2.4%
2 42
 
1.9%
3 39
 
1.7%
4 26
 
1.2%
5 38
 
1.7%
6 43
 
1.9%
7 29
 
1.3%
8 23
 
1.0%
9 20
 
0.9%
ValueCountFrequency (%)
39746 1
< 0.1%
21596 1
< 0.1%
16148 1
< 0.1%
15108 1
< 0.1%
13710 1
< 0.1%
13235 1
< 0.1%
8485 1
< 0.1%
7085 1
< 0.1%
5643 1
< 0.1%
5559 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct344
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.86111
Minimum0
Maximum31006
Zeros383
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:05.070472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q371
95-th percentile350.7
Maximum31006
Range31006
Interquartile range (IQR)67

Descriptive statistics

Standard deviation971.81595
Coefficient of variation (CV)6.8025227
Kurtosis558.53483
Mean142.86111
Median Absolute Deviation (MAD)26
Skewness21.086138
Sum318866
Variance944426.24
MonotonicityNot monotonic
2023-12-13T05:54:05.215251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
 
17.2%
2 64
 
2.9%
1 57
 
2.6%
4 37
 
1.7%
7 35
 
1.6%
12 34
 
1.5%
3 34
 
1.5%
13 34
 
1.5%
14 33
 
1.5%
5 32
 
1.4%
Other values (334) 1489
66.7%
ValueCountFrequency (%)
0 383
17.2%
1 57
 
2.6%
2 64
 
2.9%
3 34
 
1.5%
4 37
 
1.7%
5 32
 
1.4%
6 26
 
1.2%
7 35
 
1.6%
8 19
 
0.9%
9 28
 
1.3%
ValueCountFrequency (%)
31006 1
< 0.1%
18738 1
< 0.1%
15088 1
< 0.1%
12900 1
< 0.1%
7652 1
< 0.1%
7466 1
< 0.1%
6900 1
< 0.1%
5571 1
< 0.1%
5183 1
< 0.1%
4240 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct364
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean170.53091
Minimum0
Maximum40019
Zeros362
Zeros (%)16.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:05.375797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q387
95-th percentile389
Maximum40019
Range40019
Interquartile range (IQR)81

Descriptive statistics

Standard deviation1197.0683
Coefficient of variation (CV)7.0196557
Kurtosis621.25536
Mean170.53091
Median Absolute Deviation (MAD)32
Skewness22.003728
Sum380625
Variance1432972.5
MonotonicityNot monotonic
2023-12-13T05:54:05.513106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 362
 
16.2%
5 42
 
1.9%
2 41
 
1.8%
3 37
 
1.7%
6 36
 
1.6%
1 33
 
1.5%
27 28
 
1.3%
4 27
 
1.2%
10 27
 
1.2%
16 27
 
1.2%
Other values (354) 1572
70.4%
ValueCountFrequency (%)
0 362
16.2%
1 33
 
1.5%
2 41
 
1.8%
3 37
 
1.7%
4 27
 
1.2%
5 42
 
1.9%
6 36
 
1.6%
7 24
 
1.1%
8 19
 
0.9%
9 26
 
1.2%
ValueCountFrequency (%)
40019 1
< 0.1%
20370 1
< 0.1%
16320 1
< 0.1%
14410 1
< 0.1%
13133 1
< 0.1%
10900 1
< 0.1%
9241 1
< 0.1%
6613 1
< 0.1%
6256 1
< 0.1%
6228 1
< 0.1%

2020-07
Real number (ℝ)

ZEROS 

Distinct345
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean151.80108
Minimum0
Maximum26115
Zeros352
Zeros (%)15.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:05.658846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q386
95-th percentile319.4
Maximum26115
Range26115
Interquartile range (IQR)80

Descriptive statistics

Standard deviation960.50759
Coefficient of variation (CV)6.3274097
Kurtosis388.17377
Mean151.80108
Median Absolute Deviation (MAD)32
Skewness17.972009
Sum338820
Variance922574.83
MonotonicityNot monotonic
2023-12-13T05:54:05.820423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 352
 
15.8%
2 48
 
2.2%
4 37
 
1.7%
1 36
 
1.6%
6 36
 
1.6%
3 35
 
1.6%
5 34
 
1.5%
12 33
 
1.5%
9 31
 
1.4%
14 30
 
1.3%
Other values (335) 1560
69.9%
ValueCountFrequency (%)
0 352
15.8%
1 36
 
1.6%
2 48
 
2.2%
3 35
 
1.6%
4 37
 
1.7%
5 34
 
1.5%
6 36
 
1.6%
7 25
 
1.1%
8 21
 
0.9%
9 31
 
1.4%
ValueCountFrequency (%)
26115 1
< 0.1%
19681 1
< 0.1%
16550 1
< 0.1%
14392 1
< 0.1%
11362 1
< 0.1%
9014 1
< 0.1%
6940 1
< 0.1%
6254 1
< 0.1%
4820 1
< 0.1%
4618 1
< 0.1%

2020-08
Real number (ℝ)

ZEROS 

Distinct313
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122.47401
Minimum0
Maximum21014
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:06.366309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q368
95-th percentile268.15
Maximum21014
Range21014
Interquartile range (IQR)64

Descriptive statistics

Standard deviation779.43519
Coefficient of variation (CV)6.3640863
Kurtosis397.7771
Mean122.47401
Median Absolute Deviation (MAD)25
Skewness18.255048
Sum273362
Variance607519.22
MonotonicityNot monotonic
2023-12-13T05:54:06.538186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
2 53
 
2.4%
1 49
 
2.2%
7 43
 
1.9%
11 39
 
1.7%
3 38
 
1.7%
12 36
 
1.6%
5 36
 
1.6%
4 35
 
1.6%
15 31
 
1.4%
Other values (303) 1475
66.1%
ValueCountFrequency (%)
0 397
17.8%
1 49
 
2.2%
2 53
 
2.4%
3 38
 
1.7%
4 35
 
1.6%
5 36
 
1.6%
6 25
 
1.1%
7 43
 
1.9%
8 30
 
1.3%
9 28
 
1.3%
ValueCountFrequency (%)
21014 1
< 0.1%
16923 1
< 0.1%
13467 1
< 0.1%
11785 1
< 0.1%
7794 1
< 0.1%
7467 1
< 0.1%
5489 1
< 0.1%
5006 1
< 0.1%
4494 1
< 0.1%
3856 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct330
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.2397
Minimum0
Maximum30604
Zeros394
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:06.712767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q369
95-th percentile285.35
Maximum30604
Range30604
Interquartile range (IQR)65

Descriptive statistics

Standard deviation938.50173
Coefficient of variation (CV)6.8384131
Kurtosis583.943
Mean137.2397
Median Absolute Deviation (MAD)25
Skewness21.402099
Sum306319
Variance880785.49
MonotonicityNot monotonic
2023-12-13T05:54:06.909085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 394
 
17.7%
2 51
 
2.3%
3 49
 
2.2%
1 44
 
2.0%
6 42
 
1.9%
9 33
 
1.5%
22 32
 
1.4%
11 31
 
1.4%
21 30
 
1.3%
13 29
 
1.3%
Other values (320) 1497
67.1%
ValueCountFrequency (%)
0 394
17.7%
1 44
 
2.0%
2 51
 
2.3%
3 49
 
2.2%
4 27
 
1.2%
5 26
 
1.2%
6 42
 
1.9%
7 24
 
1.1%
8 23
 
1.0%
9 33
 
1.5%
ValueCountFrequency (%)
30604 1
< 0.1%
17421 1
< 0.1%
12972 1
< 0.1%
12335 1
< 0.1%
7808 1
< 0.1%
7703 1
< 0.1%
7649 1
< 0.1%
5795 1
< 0.1%
5194 1
< 0.1%
4412 1
< 0.1%

2020-10
Real number (ℝ)

ZEROS 

Distinct315
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.52912
Minimum0
Maximum24196
Zeros403
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:07.085289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25.5
Q369
95-th percentile277.7
Maximum24196
Range24196
Interquartile range (IQR)65

Descriptive statistics

Standard deviation842.48137
Coefficient of variation (CV)6.504185
Kurtosis439.92312
Mean129.52912
Median Absolute Deviation (MAD)25.5
Skewness18.962604
Sum289109
Variance709774.86
MonotonicityNot monotonic
2023-12-13T05:54:07.241974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403
 
18.1%
1 56
 
2.5%
2 49
 
2.2%
3 42
 
1.9%
7 39
 
1.7%
15 37
 
1.7%
5 37
 
1.7%
12 30
 
1.3%
19 28
 
1.3%
27 28
 
1.3%
Other values (305) 1483
66.4%
ValueCountFrequency (%)
0 403
18.1%
1 56
 
2.5%
2 49
 
2.2%
3 42
 
1.9%
4 25
 
1.1%
5 37
 
1.7%
6 26
 
1.2%
7 39
 
1.7%
8 26
 
1.2%
9 26
 
1.2%
ValueCountFrequency (%)
24196 1
< 0.1%
18002 1
< 0.1%
12842 1
< 0.1%
12207 1
< 0.1%
7988 1
< 0.1%
7887 1
< 0.1%
6732 1
< 0.1%
5676 1
< 0.1%
5223 1
< 0.1%
3541 1
< 0.1%

2020-11
Real number (ℝ)

ZEROS 

Distinct356
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.79435
Minimum0
Maximum24979
Zeros371
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:07.395419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median31.5
Q386
95-th percentile343
Maximum24979
Range24979
Interquartile range (IQR)80

Descriptive statistics

Standard deviation982.14726
Coefficient of variation (CV)6.3861074
Kurtosis379.63925
Mean153.79435
Median Absolute Deviation (MAD)30.5
Skewness17.922325
Sum343269
Variance964613.25
MonotonicityNot monotonic
2023-12-13T05:54:07.549968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 371
 
16.6%
1 44
 
2.0%
10 37
 
1.7%
13 34
 
1.5%
12 34
 
1.5%
3 34
 
1.5%
2 33
 
1.5%
6 32
 
1.4%
4 30
 
1.3%
5 29
 
1.3%
Other values (346) 1554
69.6%
ValueCountFrequency (%)
0 371
16.6%
1 44
 
2.0%
2 33
 
1.5%
3 34
 
1.5%
4 30
 
1.3%
5 29
 
1.3%
6 32
 
1.4%
7 27
 
1.2%
8 18
 
0.8%
9 19
 
0.9%
ValueCountFrequency (%)
24979 1
< 0.1%
22988 1
< 0.1%
16185 1
< 0.1%
15003 1
< 0.1%
9845 1
< 0.1%
9639 1
< 0.1%
8413 1
< 0.1%
6434 1
< 0.1%
6208 1
< 0.1%
4350 1
< 0.1%

2020-12
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.91622
Minimum0
Maximum33569
Zeros330
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:07.712593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18
median38
Q3105
95-th percentile436.45
Maximum33569
Range33569
Interquartile range (IQR)97

Descriptive statistics

Standard deviation1262.7533
Coefficient of variation (CV)6.445374
Kurtosis405.70509
Mean195.91622
Median Absolute Deviation (MAD)36
Skewness18.445428
Sum437285
Variance1594545.9
MonotonicityNot monotonic
2023-12-13T05:54:07.891510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 330
 
14.8%
2 48
 
2.2%
4 34
 
1.5%
1 32
 
1.4%
6 32
 
1.4%
10 28
 
1.3%
34 28
 
1.3%
5 28
 
1.3%
9 27
 
1.2%
11 25
 
1.1%
Other values (404) 1620
72.6%
ValueCountFrequency (%)
0 330
14.8%
1 32
 
1.4%
2 48
 
2.2%
3 23
 
1.0%
4 34
 
1.5%
5 28
 
1.3%
6 32
 
1.4%
7 22
 
1.0%
8 22
 
1.0%
9 27
 
1.2%
ValueCountFrequency (%)
33569 1
< 0.1%
29435 1
< 0.1%
19950 1
< 0.1%
19161 1
< 0.1%
12836 1
< 0.1%
11549 1
< 0.1%
8981 1
< 0.1%
7758 1
< 0.1%
7745 1
< 0.1%
6387 1
< 0.1%

2021-01
Real number (ℝ)

ZEROS 

Distinct347
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138.76389
Minimum0
Maximum23483
Zeros392
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:08.037815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median28
Q380
95-th percentile302.9
Maximum23483
Range23483
Interquartile range (IQR)75

Descriptive statistics

Standard deviation871.9864
Coefficient of variation (CV)6.2839576
Kurtosis387.69283
Mean138.76389
Median Absolute Deviation (MAD)28
Skewness18.071117
Sum309721
Variance760360.28
MonotonicityNot monotonic
2023-12-13T05:54:08.188544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392
 
17.6%
3 44
 
2.0%
5 39
 
1.7%
1 38
 
1.7%
2 38
 
1.7%
16 35
 
1.6%
6 35
 
1.6%
11 31
 
1.4%
8 30
 
1.3%
9 29
 
1.3%
Other values (337) 1521
68.1%
ValueCountFrequency (%)
0 392
17.6%
1 38
 
1.7%
2 38
 
1.7%
3 44
 
2.0%
4 24
 
1.1%
5 39
 
1.7%
6 35
 
1.6%
7 29
 
1.3%
8 30
 
1.3%
9 29
 
1.3%
ValueCountFrequency (%)
23483 1
< 0.1%
17436 1
< 0.1%
15322 1
< 0.1%
15009 1
< 0.1%
9112 1
< 0.1%
8143 1
< 0.1%
6109 1
< 0.1%
6008 1
< 0.1%
3985 1
< 0.1%
3498 1
< 0.1%

2021-02
Real number (ℝ)

ZEROS 

Distinct341
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean141.29256
Minimum0
Maximum23222
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:08.342128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q378
95-th percentile334.45
Maximum23222
Range23222
Interquartile range (IQR)74

Descriptive statistics

Standard deviation911.91934
Coefficient of variation (CV)6.4541213
Kurtosis411.17252
Mean141.29256
Median Absolute Deviation (MAD)27
Skewness18.592327
Sum315365
Variance831596.89
MonotonicityNot monotonic
2023-12-13T05:54:08.470665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
2 56
 
2.5%
1 52
 
2.3%
7 43
 
1.9%
5 38
 
1.7%
3 32
 
1.4%
11 31
 
1.4%
8 30
 
1.3%
17 30
 
1.3%
9 30
 
1.3%
Other values (331) 1493
66.9%
ValueCountFrequency (%)
0 397
17.8%
1 52
 
2.3%
2 56
 
2.5%
3 32
 
1.4%
4 26
 
1.2%
5 38
 
1.7%
6 24
 
1.1%
7 43
 
1.9%
8 30
 
1.3%
9 30
 
1.3%
ValueCountFrequency (%)
23222 1
< 0.1%
22766 1
< 0.1%
14982 1
< 0.1%
13278 1
< 0.1%
8932 1
< 0.1%
7793 1
< 0.1%
5853 1
< 0.1%
5764 1
< 0.1%
4571 1
< 0.1%
4462 1
< 0.1%

2021-03
Real number (ℝ)

ZEROS 

Distinct404
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.9095
Minimum0
Maximum32684
Zeros346
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:08.613862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median37
Q3106
95-th percentile429.7
Maximum32684
Range32684
Interquartile range (IQR)99

Descriptive statistics

Standard deviation1276.8898
Coefficient of variation (CV)6.4846531
Kurtosis408.04748
Mean196.9095
Median Absolute Deviation (MAD)36
Skewness18.550427
Sum439502
Variance1630447.5
MonotonicityNot monotonic
2023-12-13T05:54:08.744265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 346
 
15.5%
1 42
 
1.9%
3 38
 
1.7%
2 37
 
1.7%
6 36
 
1.6%
7 29
 
1.3%
5 27
 
1.2%
24 26
 
1.2%
11 25
 
1.1%
10 25
 
1.1%
Other values (394) 1601
71.7%
ValueCountFrequency (%)
0 346
15.5%
1 42
 
1.9%
2 37
 
1.7%
3 38
 
1.7%
4 17
 
0.8%
5 27
 
1.2%
6 36
 
1.6%
7 29
 
1.3%
8 11
 
0.5%
9 19
 
0.9%
ValueCountFrequency (%)
32684 1
< 0.1%
31281 1
< 0.1%
21641 1
< 0.1%
19104 1
< 0.1%
12146 1
< 0.1%
9933 1
< 0.1%
8368 1
< 0.1%
8032 1
< 0.1%
6739 1
< 0.1%
6161 1
< 0.1%

2021-04
Real number (ℝ)

ZEROS 

Distinct420
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.04167
Minimum0
Maximum34856
Zeros349
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:08.897405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median37
Q3105.25
95-th percentile453.75
Maximum34856
Range34856
Interquartile range (IQR)98.25

Descriptive statistics

Standard deviation1278.7363
Coefficient of variation (CV)6.5227781
Kurtosis423.12614
Mean196.04167
Median Absolute Deviation (MAD)36
Skewness18.830996
Sum437565
Variance1635166.5
MonotonicityNot monotonic
2023-12-13T05:54:09.043461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 349
 
15.6%
2 46
 
2.1%
3 35
 
1.6%
1 34
 
1.5%
6 34
 
1.5%
7 30
 
1.3%
22 30
 
1.3%
12 28
 
1.3%
4 27
 
1.2%
15 24
 
1.1%
Other values (410) 1595
71.5%
ValueCountFrequency (%)
0 349
15.6%
1 34
 
1.5%
2 46
 
2.1%
3 35
 
1.6%
4 27
 
1.2%
5 23
 
1.0%
6 34
 
1.5%
7 30
 
1.3%
8 18
 
0.8%
9 16
 
0.7%
ValueCountFrequency (%)
34856 1
< 0.1%
29340 1
< 0.1%
20310 1
< 0.1%
20251 1
< 0.1%
11851 1
< 0.1%
9435 1
< 0.1%
9331 1
< 0.1%
8551 1
< 0.1%
8034 1
< 0.1%
5774 1
< 0.1%

2021-05
Real number (ℝ)

ZEROS 

Distinct380
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.74238
Minimum0
Maximum32993
Zeros358
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:09.191550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q389
95-th percentile388.15
Maximum32993
Range32993
Interquartile range (IQR)83

Descriptive statistics

Standard deviation1121.2386
Coefficient of variation (CV)6.5286076
Kurtosis460.27001
Mean171.74238
Median Absolute Deviation (MAD)32
Skewness19.340423
Sum383329
Variance1257176.1
MonotonicityNot monotonic
2023-12-13T05:54:09.316277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 358
 
16.0%
3 37
 
1.7%
10 35
 
1.6%
1 35
 
1.6%
2 35
 
1.6%
5 34
 
1.5%
34 33
 
1.5%
8 32
 
1.4%
6 32
 
1.4%
4 29
 
1.3%
Other values (370) 1572
70.4%
ValueCountFrequency (%)
0 358
16.0%
1 35
 
1.6%
2 35
 
1.6%
3 37
 
1.7%
4 29
 
1.3%
5 34
 
1.5%
6 32
 
1.4%
7 25
 
1.1%
8 32
 
1.4%
9 23
 
1.0%
ValueCountFrequency (%)
32993 1
< 0.1%
22845 1
< 0.1%
18190 1
< 0.1%
16606 1
< 0.1%
10168 1
< 0.1%
9142 1
< 0.1%
7870 1
< 0.1%
7224 1
< 0.1%
5478 1
< 0.1%
5389 1
< 0.1%

2021-06
Real number (ℝ)

ZEROS 

Distinct377
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean171.49014
Minimum0
Maximum31920
Zeros350
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:09.475396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.75
median33
Q390
95-th percentile393.9
Maximum31920
Range31920
Interquartile range (IQR)83.25

Descriptive statistics

Standard deviation1116.9229
Coefficient of variation (CV)6.5130442
Kurtosis431.61402
Mean171.49014
Median Absolute Deviation (MAD)32
Skewness18.819087
Sum382766
Variance1247516.7
MonotonicityNot monotonic
2023-12-13T05:54:09.633190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 350
 
15.7%
3 44
 
2.0%
2 43
 
1.9%
1 39
 
1.7%
5 31
 
1.4%
12 29
 
1.3%
19 28
 
1.3%
4 27
 
1.2%
8 25
 
1.1%
7 25
 
1.1%
Other values (367) 1591
71.3%
ValueCountFrequency (%)
0 350
15.7%
1 39
 
1.7%
2 43
 
1.9%
3 44
 
2.0%
4 27
 
1.2%
5 31
 
1.4%
6 24
 
1.1%
7 25
 
1.1%
8 25
 
1.1%
9 24
 
1.1%
ValueCountFrequency (%)
31920 1
< 0.1%
23012 1
< 0.1%
18880 1
< 0.1%
15783 1
< 0.1%
11156 1
< 0.1%
9144 1
< 0.1%
8817 1
< 0.1%
7687 1
< 0.1%
7066 1
< 0.1%
5991 1
< 0.1%

2021-07
Real number (ℝ)

ZEROS 

Distinct362
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean156.00448
Minimum0
Maximum29721
Zeros356
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:09.791115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median30
Q382
95-th percentile389.25
Maximum29721
Range29721
Interquartile range (IQR)76

Descriptive statistics

Standard deviation1016.4436
Coefficient of variation (CV)6.5154772
Kurtosis450.86636
Mean156.00448
Median Absolute Deviation (MAD)29
Skewness19.168084
Sum348202
Variance1033157.6
MonotonicityNot monotonic
2023-12-13T05:54:09.976029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356
 
15.9%
1 51
 
2.3%
2 48
 
2.2%
6 41
 
1.8%
4 37
 
1.7%
14 34
 
1.5%
3 31
 
1.4%
16 30
 
1.3%
5 29
 
1.3%
7 29
 
1.3%
Other values (352) 1546
69.3%
ValueCountFrequency (%)
0 356
15.9%
1 51
 
2.3%
2 48
 
2.2%
3 31
 
1.4%
4 37
 
1.7%
5 29
 
1.3%
6 41
 
1.8%
7 29
 
1.3%
8 27
 
1.2%
9 18
 
0.8%
ValueCountFrequency (%)
29721 1
< 0.1%
20494 1
< 0.1%
16758 1
< 0.1%
14782 1
< 0.1%
9666 1
< 0.1%
8432 1
< 0.1%
6984 1
< 0.1%
6650 1
< 0.1%
6565 1
< 0.1%
6342 1
< 0.1%

2021-08
Real number (ℝ)

ZEROS 

Distinct358
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149.49955
Minimum0
Maximum28000
Zeros380
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:10.105139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median29
Q378
95-th percentile343.9
Maximum28000
Range28000
Interquartile range (IQR)73

Descriptive statistics

Standard deviation979.26375
Coefficient of variation (CV)6.5502789
Kurtosis430.40812
Mean149.49955
Median Absolute Deviation (MAD)28
Skewness18.818519
Sum333683
Variance958957.5
MonotonicityNot monotonic
2023-12-13T05:54:10.230898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 380
 
17.0%
2 55
 
2.5%
1 40
 
1.8%
3 40
 
1.8%
4 34
 
1.5%
15 33
 
1.5%
5 32
 
1.4%
11 32
 
1.4%
12 30
 
1.3%
23 29
 
1.3%
Other values (348) 1527
68.4%
ValueCountFrequency (%)
0 380
17.0%
1 40
 
1.8%
2 55
 
2.5%
3 40
 
1.8%
4 34
 
1.5%
5 32
 
1.4%
6 27
 
1.2%
7 29
 
1.3%
8 22
 
1.0%
9 22
 
1.0%
ValueCountFrequency (%)
28000 1
< 0.1%
19705 1
< 0.1%
17182 1
< 0.1%
13495 1
< 0.1%
9421 1
< 0.1%
9378 1
< 0.1%
8228 1
< 0.1%
6607 1
< 0.1%
6091 1
< 0.1%
4251 1
< 0.1%

2021-09
Real number (ℝ)

ZEROS 

Distinct339
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.63127
Minimum0
Maximum26313
Zeros406
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:10.365122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q371
95-th percentile311.9
Maximum26313
Range26313
Interquartile range (IQR)67

Descriptive statistics

Standard deviation887.61027
Coefficient of variation (CV)6.5442892
Kurtosis459.0568
Mean135.63127
Median Absolute Deviation (MAD)25
Skewness19.249839
Sum302729
Variance787852
MonotonicityNot monotonic
2023-12-13T05:54:10.512628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 406
 
18.2%
1 50
 
2.2%
3 45
 
2.0%
2 45
 
2.0%
6 40
 
1.8%
5 38
 
1.7%
8 35
 
1.6%
13 33
 
1.5%
19 32
 
1.4%
17 30
 
1.3%
Other values (329) 1478
66.2%
ValueCountFrequency (%)
0 406
18.2%
1 50
 
2.2%
2 45
 
2.0%
3 45
 
2.0%
4 28
 
1.3%
5 38
 
1.7%
6 40
 
1.8%
7 30
 
1.3%
8 35
 
1.6%
9 25
 
1.1%
ValueCountFrequency (%)
26313 1
< 0.1%
17249 1
< 0.1%
15040 1
< 0.1%
12080 1
< 0.1%
8516 1
< 0.1%
7513 1
< 0.1%
6404 1
< 0.1%
5899 1
< 0.1%
5740 1
< 0.1%
5403 1
< 0.1%

2021-10
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean136.32706
Minimum0
Maximum23779
Zeros403
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:10.660531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26.5
Q373
95-th percentile314.6
Maximum23779
Range23779
Interquartile range (IQR)69

Descriptive statistics

Standard deviation879.02392
Coefficient of variation (CV)6.4479049
Kurtosis397.44954
Mean136.32706
Median Absolute Deviation (MAD)26.5
Skewness18.218454
Sum304282
Variance772683.05
MonotonicityNot monotonic
2023-12-13T05:54:11.107667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403
 
18.1%
1 50
 
2.2%
2 44
 
2.0%
5 42
 
1.9%
4 40
 
1.8%
3 39
 
1.7%
7 38
 
1.7%
14 32
 
1.4%
11 30
 
1.3%
18 30
 
1.3%
Other values (326) 1484
66.5%
ValueCountFrequency (%)
0 403
18.1%
1 50
 
2.2%
2 44
 
2.0%
3 39
 
1.7%
4 40
 
1.8%
5 42
 
1.9%
6 25
 
1.1%
7 38
 
1.7%
8 24
 
1.1%
9 26
 
1.2%
ValueCountFrequency (%)
23779 1
< 0.1%
18846 1
< 0.1%
15523 1
< 0.1%
13005 1
< 0.1%
8911 1
< 0.1%
7299 1
< 0.1%
6582 1
< 0.1%
6203 1
< 0.1%
5600 1
< 0.1%
4392 1
< 0.1%

2021-11
Real number (ℝ)

ZEROS 

Distinct376
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.71729
Minimum0
Maximum27016
Zeros383
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:11.245718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median30
Q386.25
95-th percentile363.9
Maximum27016
Range27016
Interquartile range (IQR)81.25

Descriptive statistics

Standard deviation1036.6754
Coefficient of variation (CV)6.450304
Kurtosis399.38921
Mean160.71729
Median Absolute Deviation (MAD)30
Skewness18.383128
Sum358721
Variance1074695.9
MonotonicityNot monotonic
2023-12-13T05:54:11.381765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
 
17.2%
2 53
 
2.4%
1 46
 
2.1%
3 42
 
1.9%
17 32
 
1.4%
18 31
 
1.4%
16 30
 
1.3%
5 30
 
1.3%
9 29
 
1.3%
6 29
 
1.3%
Other values (366) 1527
68.4%
ValueCountFrequency (%)
0 383
17.2%
1 46
 
2.1%
2 53
 
2.4%
3 42
 
1.9%
4 26
 
1.2%
5 30
 
1.3%
6 29
 
1.3%
7 24
 
1.1%
8 20
 
0.9%
9 29
 
1.3%
ValueCountFrequency (%)
27016 1
< 0.1%
23954 1
< 0.1%
18623 1
< 0.1%
15430 1
< 0.1%
10955 1
< 0.1%
7529 1
< 0.1%
6837 1
< 0.1%
6457 1
< 0.1%
5618 1
< 0.1%
4647 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct418
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean198.24955
Minimum0
Maximum40324
Zeros305
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:11.532008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median36
Q3103.25
95-th percentile459.15
Maximum40324
Range40324
Interquartile range (IQR)96.25

Descriptive statistics

Standard deviation1336.8466
Coefficient of variation (CV)6.7432514
Kurtosis494.32903
Mean198.24955
Median Absolute Deviation (MAD)34
Skewness20.075832
Sum442493
Variance1787158.8
MonotonicityNot monotonic
2023-12-13T05:54:11.679800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 305
 
13.7%
1 51
 
2.3%
2 46
 
2.1%
3 43
 
1.9%
12 38
 
1.7%
5 35
 
1.6%
7 33
 
1.5%
9 29
 
1.3%
8 28
 
1.3%
18 26
 
1.2%
Other values (408) 1598
71.6%
ValueCountFrequency (%)
0 305
13.7%
1 51
 
2.3%
2 46
 
2.1%
3 43
 
1.9%
4 25
 
1.1%
5 35
 
1.6%
6 25
 
1.1%
7 33
 
1.5%
8 28
 
1.3%
9 29
 
1.3%
ValueCountFrequency (%)
40324 1
< 0.1%
27548 1
< 0.1%
21843 1
< 0.1%
18318 1
< 0.1%
13388 1
< 0.1%
10505 1
< 0.1%
7694 1
< 0.1%
7469 1
< 0.1%
7223 1
< 0.1%
6168 1
< 0.1%

2022-01
Real number (ℝ)

ZEROS 

Distinct338
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.15681
Minimum0
Maximum23023
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:11.858714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23
Q369
95-th percentile298.25
Maximum23023
Range23023
Interquartile range (IQR)65

Descriptive statistics

Standard deviation867.8625
Coefficient of variation (CV)6.5175975
Kurtosis407.77613
Mean133.15681
Median Absolute Deviation (MAD)23
Skewness18.564087
Sum297206
Variance753185.31
MonotonicityNot monotonic
2023-12-13T05:54:11.991378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
1 55
 
2.5%
2 54
 
2.4%
3 47
 
2.1%
12 41
 
1.8%
7 38
 
1.7%
6 38
 
1.7%
9 36
 
1.6%
5 35
 
1.6%
11 31
 
1.4%
Other values (328) 1460
65.4%
ValueCountFrequency (%)
0 397
17.8%
1 55
 
2.5%
2 54
 
2.4%
3 47
 
2.1%
4 26
 
1.2%
5 35
 
1.6%
6 38
 
1.7%
7 38
 
1.7%
8 30
 
1.3%
9 36
 
1.6%
ValueCountFrequency (%)
23023 1
< 0.1%
19801 1
< 0.1%
15450 1
< 0.1%
13187 1
< 0.1%
8970 1
< 0.1%
5988 1
< 0.1%
5474 1
< 0.1%
5345 1
< 0.1%
5176 1
< 0.1%
3773 1
< 0.1%

2022-02
Real number (ℝ)

ZEROS 

Distinct336
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean137.79346
Minimum0
Maximum26786
Zeros441
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:12.131274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q368
95-th percentile335.25
Maximum26786
Range26786
Interquartile range (IQR)65

Descriptive statistics

Standard deviation919.61027
Coefficient of variation (CV)6.6738311
Kurtosis469.63498
Mean137.79346
Median Absolute Deviation (MAD)21
Skewness19.66411
Sum307555
Variance845683.05
MonotonicityNot monotonic
2023-12-13T05:54:12.275657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 441
 
19.8%
1 64
 
2.9%
2 49
 
2.2%
3 42
 
1.9%
8 39
 
1.7%
4 39
 
1.7%
10 37
 
1.7%
7 35
 
1.6%
6 35
 
1.6%
15 34
 
1.5%
Other values (326) 1417
63.5%
ValueCountFrequency (%)
0 441
19.8%
1 64
 
2.9%
2 49
 
2.2%
3 42
 
1.9%
4 39
 
1.7%
5 33
 
1.5%
6 35
 
1.6%
7 35
 
1.6%
8 39
 
1.7%
9 22
 
1.0%
ValueCountFrequency (%)
26786 1
< 0.1%
20216 1
< 0.1%
14653 1
< 0.1%
13298 1
< 0.1%
9034 1
< 0.1%
6534 1
< 0.1%
5309 1
< 0.1%
5152 1
< 0.1%
5091 1
< 0.1%
3803 1
< 0.1%

2022-03
Real number (ℝ)

ZEROS 

Distinct360
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean159.38172
Minimum0
Maximum29454
Zeros400
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:12.414301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28
Q378
95-th percentile372.6
Maximum29454
Range29454
Interquartile range (IQR)74

Descriptive statistics

Standard deviation1067.2376
Coefficient of variation (CV)6.6961103
Kurtosis460.07285
Mean159.38172
Median Absolute Deviation (MAD)28
Skewness19.566853
Sum355740
Variance1138996
MonotonicityNot monotonic
2023-12-13T05:54:12.543228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 400
 
17.9%
2 58
 
2.6%
1 55
 
2.5%
7 43
 
1.9%
5 34
 
1.5%
4 33
 
1.5%
3 31
 
1.4%
10 30
 
1.3%
14 28
 
1.3%
6 27
 
1.2%
Other values (350) 1493
66.9%
ValueCountFrequency (%)
0 400
17.9%
1 55
 
2.5%
2 58
 
2.6%
3 31
 
1.4%
4 33
 
1.5%
5 34
 
1.5%
6 27
 
1.2%
7 43
 
1.9%
8 22
 
1.0%
9 27
 
1.2%
ValueCountFrequency (%)
29454 1
< 0.1%
26305 1
< 0.1%
15984 1
< 0.1%
15294 1
< 0.1%
10198 1
< 0.1%
6277 1
< 0.1%
6181 1
< 0.1%
6069 1
< 0.1%
5530 1
< 0.1%
5491 1
< 0.1%

2022-04
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)15.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146.89068
Minimum0
Maximum23776
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:12.676269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27
Q380
95-th percentile334.35
Maximum23776
Range23776
Interquartile range (IQR)76

Descriptive statistics

Standard deviation944.35765
Coefficient of variation (CV)6.4289827
Kurtosis390.13217
Mean146.89068
Median Absolute Deviation (MAD)27
Skewness18.192911
Sum327860
Variance891811.38
MonotonicityNot monotonic
2023-12-13T05:54:12.824784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
2 60
 
2.7%
3 47
 
2.1%
1 41
 
1.8%
5 38
 
1.7%
7 35
 
1.6%
13 33
 
1.5%
15 31
 
1.4%
12 30
 
1.3%
14 29
 
1.3%
Other values (344) 1491
66.8%
ValueCountFrequency (%)
0 397
17.8%
1 41
 
1.8%
2 60
 
2.7%
3 47
 
2.1%
4 27
 
1.2%
5 38
 
1.7%
6 27
 
1.2%
7 35
 
1.6%
8 27
 
1.2%
9 24
 
1.1%
ValueCountFrequency (%)
23776 1
< 0.1%
22636 1
< 0.1%
15915 1
< 0.1%
15064 1
< 0.1%
10143 1
< 0.1%
6464 1
< 0.1%
6253 1
< 0.1%
5993 1
< 0.1%
5792 1
< 0.1%
5464 1
< 0.1%

2022-05
Real number (ℝ)

ZEROS 

Distinct343
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.95609
Minimum0
Maximum28072
Zeros391
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:12.965872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q376
95-th percentile338.9
Maximum28072
Range28072
Interquartile range (IQR)71

Descriptive statistics

Standard deviation953.88723
Coefficient of variation (CV)6.6262372
Kurtosis461.31992
Mean143.95609
Median Absolute Deviation (MAD)27
Skewness19.377531
Sum321310
Variance909900.84
MonotonicityNot monotonic
2023-12-13T05:54:13.095127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 391
 
17.5%
1 51
 
2.3%
2 45
 
2.0%
5 41
 
1.8%
6 34
 
1.5%
3 33
 
1.5%
14 31
 
1.4%
7 31
 
1.4%
16 29
 
1.3%
15 29
 
1.3%
Other values (333) 1517
68.0%
ValueCountFrequency (%)
0 391
17.5%
1 51
 
2.3%
2 45
 
2.0%
3 33
 
1.5%
4 26
 
1.2%
5 41
 
1.8%
6 34
 
1.5%
7 31
 
1.4%
8 22
 
1.0%
9 29
 
1.3%
ValueCountFrequency (%)
28072 1
< 0.1%
19800 1
< 0.1%
14786 1
< 0.1%
13854 1
< 0.1%
9075 1
< 0.1%
8119 1
< 0.1%
6780 1
< 0.1%
6408 1
< 0.1%
5979 1
< 0.1%
4349 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct335
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.12679
Minimum0
Maximum35735
Zeros395
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:13.241016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q371
95-th percentile301.95
Maximum35735
Range35735
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1041.0287
Coefficient of variation (CV)7.1732356
Kurtosis678.78478
Mean145.12679
Median Absolute Deviation (MAD)24
Skewness22.982475
Sum323923
Variance1083740.7
MonotonicityNot monotonic
2023-12-13T05:54:13.399707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
 
17.7%
1 64
 
2.9%
2 50
 
2.2%
12 42
 
1.9%
5 36
 
1.6%
7 35
 
1.6%
6 34
 
1.5%
15 33
 
1.5%
17 32
 
1.4%
16 32
 
1.4%
Other values (325) 1479
66.3%
ValueCountFrequency (%)
0 395
17.7%
1 64
 
2.9%
2 50
 
2.2%
3 26
 
1.2%
4 30
 
1.3%
5 36
 
1.6%
6 34
 
1.5%
7 35
 
1.6%
8 30
 
1.3%
9 25
 
1.1%
ValueCountFrequency (%)
35735 1
< 0.1%
17224 1
< 0.1%
15724 1
< 0.1%
11732 1
< 0.1%
8360 1
< 0.1%
8313 1
< 0.1%
6233 1
< 0.1%
5918 1
< 0.1%
5683 1
< 0.1%
5272 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct319
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.26882
Minimum0
Maximum24291
Zeros433
Zeros (%)19.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:13.578361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q360
95-th percentile293.35
Maximum24291
Range24291
Interquartile range (IQR)57

Descriptive statistics

Standard deviation787.99126
Coefficient of variation (CV)6.7195294
Kurtosis515.90839
Mean117.26882
Median Absolute Deviation (MAD)20
Skewness20.415684
Sum261744
Variance620930.23
MonotonicityNot monotonic
2023-12-13T05:54:13.731606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 433
 
19.4%
2 63
 
2.8%
1 51
 
2.3%
3 51
 
2.3%
6 42
 
1.9%
5 39
 
1.7%
15 38
 
1.7%
8 35
 
1.6%
17 35
 
1.6%
7 35
 
1.6%
Other values (309) 1410
63.2%
ValueCountFrequency (%)
0 433
19.4%
1 51
 
2.3%
2 63
 
2.8%
3 51
 
2.3%
4 26
 
1.2%
5 39
 
1.7%
6 42
 
1.9%
7 35
 
1.6%
8 35
 
1.6%
9 32
 
1.4%
ValueCountFrequency (%)
24291 1
< 0.1%
14989 1
< 0.1%
14192 1
< 0.1%
10061 1
< 0.1%
7703 1
< 0.1%
4998 1
< 0.1%
4778 1
< 0.1%
4617 1
< 0.1%
4320 1
< 0.1%
3868 1
< 0.1%

2022-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct299
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.75986
Minimum0
Maximum22335
Zeros491
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:13.883906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q354
95-th percentile251
Maximum22335
Range22335
Interquartile range (IQR)52

Descriptive statistics

Standard deviation736.58288
Coefficient of variation (CV)6.7108586
Kurtosis499.19494
Mean109.75986
Median Absolute Deviation (MAD)19
Skewness20.112687
Sum244984
Variance542554.34
MonotonicityNot monotonic
2023-12-13T05:54:14.086411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 491
 
22.0%
1 57
 
2.6%
2 46
 
2.1%
3 46
 
2.1%
12 41
 
1.8%
9 40
 
1.8%
10 38
 
1.7%
4 37
 
1.7%
7 36
 
1.6%
5 34
 
1.5%
Other values (289) 1366
61.2%
ValueCountFrequency (%)
0 491
22.0%
1 57
 
2.6%
2 46
 
2.1%
3 46
 
2.1%
4 37
 
1.7%
5 34
 
1.5%
6 30
 
1.3%
7 36
 
1.6%
8 34
 
1.5%
9 40
 
1.8%
ValueCountFrequency (%)
22335 1
< 0.1%
14834 1
< 0.1%
12777 1
< 0.1%
9564 1
< 0.1%
7063 1
< 0.1%
4562 1
< 0.1%
4540 1
< 0.1%
4202 1
< 0.1%
3881 1
< 0.1%
3554 1
< 0.1%

2022-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct297
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean99.294355
Minimum0
Maximum20596
Zeros478
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:14.236737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q350
95-th percentile246.6
Maximum20596
Range20596
Interquartile range (IQR)49

Descriptive statistics

Standard deviation671.72399
Coefficient of variation (CV)6.7649766
Kurtosis509.02336
Mean99.294355
Median Absolute Deviation (MAD)16
Skewness20.277183
Sum221625
Variance451213.12
MonotonicityNot monotonic
2023-12-13T05:54:14.406477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 478
 
21.4%
1 84
 
3.8%
2 60
 
2.7%
4 51
 
2.3%
9 46
 
2.1%
6 43
 
1.9%
12 42
 
1.9%
5 41
 
1.8%
11 39
 
1.7%
3 38
 
1.7%
Other values (287) 1310
58.7%
ValueCountFrequency (%)
0 478
21.4%
1 84
 
3.8%
2 60
 
2.7%
3 38
 
1.7%
4 51
 
2.3%
5 41
 
1.8%
6 43
 
1.9%
7 34
 
1.5%
8 28
 
1.3%
9 46
 
2.1%
ValueCountFrequency (%)
20596 1
< 0.1%
12699 1
< 0.1%
12272 1
< 0.1%
8747 1
< 0.1%
6221 1
< 0.1%
4128 1
< 0.1%
3940 1
< 0.1%
3927 1
< 0.1%
3648 1
< 0.1%
3442 1
< 0.1%

2022-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct289
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107.15547
Minimum0
Maximum26763
Zeros505
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:14.558950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q350
95-th percentile217.7
Maximum26763
Range26763
Interquartile range (IQR)49

Descriptive statistics

Standard deviation790.21504
Coefficient of variation (CV)7.3744726
Kurtosis650.32008
Mean107.15547
Median Absolute Deviation (MAD)16
Skewness22.51806
Sum239171
Variance624439.81
MonotonicityNot monotonic
2023-12-13T05:54:14.699442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 505
 
22.6%
1 73
 
3.3%
3 52
 
2.3%
5 50
 
2.2%
12 45
 
2.0%
2 43
 
1.9%
6 43
 
1.9%
11 38
 
1.7%
4 37
 
1.7%
14 36
 
1.6%
Other values (279) 1310
58.7%
ValueCountFrequency (%)
0 505
22.6%
1 73
 
3.3%
2 43
 
1.9%
3 52
 
2.3%
4 37
 
1.7%
5 50
 
2.2%
6 43
 
1.9%
7 30
 
1.3%
8 32
 
1.4%
9 35
 
1.6%
ValueCountFrequency (%)
26763 1
< 0.1%
13508 1
< 0.1%
11191 1
< 0.1%
8860 1
< 0.1%
8639 1
< 0.1%
6600 1
< 0.1%
4265 1
< 0.1%
4050 1
< 0.1%
3997 1
< 0.1%
3912 1
< 0.1%

2022-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct294
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104.81676
Minimum0
Maximum22953
Zeros525
Zeros (%)23.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:15.197653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q351
95-th percentile242.8
Maximum22953
Range22953
Interquartile range (IQR)50

Descriptive statistics

Standard deviation731.97534
Coefficient of variation (CV)6.983381
Kurtosis546.79099
Mean104.81676
Median Absolute Deviation (MAD)16
Skewness20.979108
Sum233951
Variance535787.9
MonotonicityNot monotonic
2023-12-13T05:54:15.355448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 525
23.5%
1 68
 
3.0%
2 52
 
2.3%
7 45
 
2.0%
3 45
 
2.0%
12 42
 
1.9%
8 40
 
1.8%
6 38
 
1.7%
13 36
 
1.6%
15 35
 
1.6%
Other values (284) 1306
58.5%
ValueCountFrequency (%)
0 525
23.5%
1 68
 
3.0%
2 52
 
2.3%
3 45
 
2.0%
4 35
 
1.6%
5 30
 
1.3%
6 38
 
1.7%
7 45
 
2.0%
8 40
 
1.8%
9 30
 
1.3%
ValueCountFrequency (%)
22953 1
< 0.1%
15425 1
< 0.1%
10581 1
< 0.1%
9328 1
< 0.1%
6531 1
< 0.1%
6034 1
< 0.1%
4075 1
< 0.1%
4069 1
< 0.1%
3946 1
< 0.1%
3920 1
< 0.1%

2022-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.02016
Minimum0
Maximum41641
Zeros480
Zeros (%)21.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:15.526555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q351
95-th percentile266.45
Maximum41641
Range41641
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1119.2765
Coefficient of variation (CV)8.6752062
Kurtosis891.09947
Mean129.02016
Median Absolute Deviation (MAD)17
Skewness26.646124
Sum287973
Variance1252779.9
MonotonicityNot monotonic
2023-12-13T05:54:15.681606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 480
 
21.5%
1 71
 
3.2%
5 56
 
2.5%
3 55
 
2.5%
7 46
 
2.1%
2 45
 
2.0%
9 39
 
1.7%
4 38
 
1.7%
6 37
 
1.7%
8 36
 
1.6%
Other values (288) 1329
59.5%
ValueCountFrequency (%)
0 480
21.5%
1 71
 
3.2%
2 45
 
2.0%
3 55
 
2.5%
4 38
 
1.7%
5 56
 
2.5%
6 37
 
1.7%
7 46
 
2.1%
8 36
 
1.6%
9 39
 
1.7%
ValueCountFrequency (%)
41641 1
< 0.1%
15754 1
< 0.1%
14144 1
< 0.1%
12640 1
< 0.1%
11968 1
< 0.1%
9062 1
< 0.1%
6622 1
< 0.1%
5774 1
< 0.1%
3890 1
< 0.1%
3818 1
< 0.1%

2023-01
Real number (ℝ)

ZEROS 

Distinct250
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81.602599
Minimum0
Maximum15925
Zeros561
Zeros (%)25.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:15.839261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median12.5
Q339
95-th percentile184
Maximum15925
Range15925
Interquartile range (IQR)39

Descriptive statistics

Standard deviation570.38238
Coefficient of variation (CV)6.9897576
Kurtosis429.03879
Mean81.602599
Median Absolute Deviation (MAD)12.5
Skewness18.997217
Sum182137
Variance325336.06
MonotonicityNot monotonic
2023-12-13T05:54:15.990168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 561
25.1%
1 80
 
3.6%
2 51
 
2.3%
9 48
 
2.2%
6 48
 
2.2%
4 46
 
2.1%
3 46
 
2.1%
7 45
 
2.0%
5 42
 
1.9%
8 42
 
1.9%
Other values (240) 1223
54.8%
ValueCountFrequency (%)
0 561
25.1%
1 80
 
3.6%
2 51
 
2.3%
3 46
 
2.1%
4 46
 
2.1%
5 42
 
1.9%
6 48
 
2.2%
7 45
 
2.0%
8 42
 
1.9%
9 48
 
2.2%
ValueCountFrequency (%)
15925 1
< 0.1%
12041 1
< 0.1%
10589 1
< 0.1%
7233 1
< 0.1%
7081 1
< 0.1%
5176 1
< 0.1%
3117 1
< 0.1%
2997 1
< 0.1%
2894 1
< 0.1%
2803 1
< 0.1%

2023-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct280
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.34409
Minimum0
Maximum20775
Zeros549
Zeros (%)24.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:16.151723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q351
95-th percentile216
Maximum20775
Range20775
Interquartile range (IQR)50

Descriptive statistics

Standard deviation712.43123
Coefficient of variation (CV)6.8937784
Kurtosis500.94812
Mean103.34409
Median Absolute Deviation (MAD)17
Skewness20.314321
Sum230664
Variance507558.26
MonotonicityNot monotonic
2023-12-13T05:54:16.302676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 549
24.6%
1 59
 
2.6%
2 49
 
2.2%
5 45
 
2.0%
4 41
 
1.8%
18 41
 
1.8%
10 39
 
1.7%
14 37
 
1.7%
3 35
 
1.6%
7 35
 
1.6%
Other values (270) 1302
58.3%
ValueCountFrequency (%)
0 549
24.6%
1 59
 
2.6%
2 49
 
2.2%
3 35
 
1.6%
4 41
 
1.8%
5 45
 
2.0%
6 31
 
1.4%
7 35
 
1.6%
8 26
 
1.2%
9 26
 
1.2%
ValueCountFrequency (%)
20775 1
< 0.1%
17160 1
< 0.1%
10476 1
< 0.1%
9330 1
< 0.1%
6343 1
< 0.1%
3975 1
< 0.1%
3656 1
< 0.1%
3451 1
< 0.1%
3399 1
< 0.1%
3390 1
< 0.1%

2023-03
Real number (ℝ)

ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean111.40995
Minimum0
Maximum18917
Zeros519
Zeros (%)23.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:16.454936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19
Q357
95-th percentile250.5
Maximum18917
Range18917
Interquartile range (IQR)56

Descriptive statistics

Standard deviation733.77581
Coefficient of variation (CV)6.5862684
Kurtosis416.11715
Mean111.40995
Median Absolute Deviation (MAD)19
Skewness18.73069
Sum248667
Variance538426.94
MonotonicityNot monotonic
2023-12-13T05:54:16.605596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 519
 
23.3%
1 72
 
3.2%
2 52
 
2.3%
6 42
 
1.9%
3 42
 
1.9%
11 35
 
1.6%
22 33
 
1.5%
10 33
 
1.5%
8 32
 
1.4%
4 31
 
1.4%
Other values (288) 1341
60.1%
ValueCountFrequency (%)
0 519
23.3%
1 72
 
3.2%
2 52
 
2.3%
3 42
 
1.9%
4 31
 
1.4%
5 26
 
1.2%
6 42
 
1.9%
7 28
 
1.3%
8 32
 
1.4%
9 25
 
1.1%
ValueCountFrequency (%)
18917 1
< 0.1%
18102 1
< 0.1%
11922 1
< 0.1%
11429 1
< 0.1%
7336 1
< 0.1%
4993 1
< 0.1%
4215 1
< 0.1%
4157 1
< 0.1%
4150 1
< 0.1%
3349 1
< 0.1%

2023-04
Real number (ℝ)

ZEROS 

Distinct298
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean103.37321
Minimum0
Maximum18107
Zeros515
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:16.778104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17.5
Q356
95-th percentile247
Maximum18107
Range18107
Interquartile range (IQR)55

Descriptive statistics

Standard deviation676.16632
Coefficient of variation (CV)6.5410209
Kurtosis419.98177
Mean103.37321
Median Absolute Deviation (MAD)17.5
Skewness18.794852
Sum230729
Variance457200.89
MonotonicityNot monotonic
2023-12-13T05:54:16.966771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 515
 
23.1%
2 59
 
2.6%
1 54
 
2.4%
3 46
 
2.1%
10 44
 
2.0%
12 44
 
2.0%
6 44
 
2.0%
11 35
 
1.6%
17 34
 
1.5%
7 34
 
1.5%
Other values (288) 1323
59.3%
ValueCountFrequency (%)
0 515
23.1%
1 54
 
2.4%
2 59
 
2.6%
3 46
 
2.1%
4 24
 
1.1%
5 32
 
1.4%
6 44
 
2.0%
7 34
 
1.5%
8 31
 
1.4%
9 20
 
0.9%
ValueCountFrequency (%)
18107 1
< 0.1%
15882 1
< 0.1%
11200 1
< 0.1%
10260 1
< 0.1%
7178 1
< 0.1%
4709 1
< 0.1%
4049 1
< 0.1%
3963 1
< 0.1%
3139 1
< 0.1%
3028 1
< 0.1%

2023-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct303
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117.84901
Minimum0
Maximum29070
Zeros478
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:17.111813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q355
95-th percentile266.45
Maximum29070
Range29070
Interquartile range (IQR)53

Descriptive statistics

Standard deviation851.26164
Coefficient of variation (CV)7.2233242
Kurtosis677.48521
Mean117.84901
Median Absolute Deviation (MAD)19
Skewness23.104229
Sum263039
Variance724646.37
MonotonicityNot monotonic
2023-12-13T05:54:17.255691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 478
 
21.4%
1 72
 
3.2%
2 49
 
2.2%
3 47
 
2.1%
12 42
 
1.9%
11 41
 
1.8%
10 35
 
1.6%
7 34
 
1.5%
16 33
 
1.5%
6 32
 
1.4%
Other values (293) 1369
61.3%
ValueCountFrequency (%)
0 478
21.4%
1 72
 
3.2%
2 49
 
2.2%
3 47
 
2.1%
4 31
 
1.4%
5 27
 
1.2%
6 32
 
1.4%
7 34
 
1.5%
8 28
 
1.3%
9 30
 
1.3%
ValueCountFrequency (%)
29070 1
< 0.1%
15207 1
< 0.1%
12972 1
< 0.1%
9346 1
< 0.1%
7015 1
< 0.1%
6798 1
< 0.1%
5060 1
< 0.1%
3985 1
< 0.1%
3827 1
< 0.1%
3822 1
< 0.1%

2023-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct302
Distinct (%)13.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.74731
Minimum0
Maximum38212
Zeros489
Zeros (%)21.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T05:54:17.405691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median19
Q352
95-th percentile262.45
Maximum38212
Range38212
Interquartile range (IQR)51

Descriptive statistics

Standard deviation1038.386
Coefficient of variation (CV)8.3239152
Kurtosis853.91014
Mean124.74731
Median Absolute Deviation (MAD)19
Skewness25.92837
Sum278436
Variance1078245.6
MonotonicityNot monotonic
2023-12-13T05:54:17.570026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 489
 
21.9%
1 72
 
3.2%
11 43
 
1.9%
3 43
 
1.9%
7 43
 
1.9%
2 42
 
1.9%
8 38
 
1.7%
6 36
 
1.6%
26 32
 
1.4%
13 32
 
1.4%
Other values (292) 1362
61.0%
ValueCountFrequency (%)
0 489
21.9%
1 72
 
3.2%
2 42
 
1.9%
3 43
 
1.9%
4 26
 
1.2%
5 30
 
1.3%
6 36
 
1.6%
7 43
 
1.9%
8 38
 
1.7%
9 28
 
1.3%
ValueCountFrequency (%)
38212 1
< 0.1%
14555 1
< 0.1%
13734 1
< 0.1%
11415 1
< 0.1%
9615 1
< 0.1%
8591 1
< 0.1%
6790 1
< 0.1%
5947 1
< 0.1%
4866 1
< 0.1%
4795 1
< 0.1%

Sample

지역_거래규모2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국_330㎡이하640651546490685068386044708565256140747580259694842192609183708576521090011362779476497988963911549814377939933943591428817843282287513729975297223534551526181646467805918499845404128399739463744299739754993470950604866
1전국_331~660㎡571043445713591256164819539346014150511049585553497755465928549255716613694054895795567664347758610958538368855178707687698466075899620368377694547453096277625364085683477845623940391239203818280333904215396339853915
2전국_661~1,000㎡551642025799580253034458524444793834466347875581480652565761539651836021625450065194522362087745600857648032803472247066656560915403560064577469517650916069599359795267432042023648351638103653289434514150404938273661
3전국_1,001~2,000㎡13453111891453314593133891087111949102469006111981183413864121941365115382132351290014410143921178512335122071500319161153221498221641202511660615783147821349512080130051543018318131871329815984150641385411732100619564874788609328906272339330114291026093468591
4전국_2,001~5,000㎡215401853124029219831962216018178441527513722170191888321763182852287425461215961873820370196811692317421180022298829435234832322232684293402284523012204941970517249188462395427548198012021626305226361980017224149891483412699135081542514144120411716018917181071520713734
5전국_5,001~10,000㎡9207712097109674893773098509746366267340802691277666877310318848574669241901474677808788798451283691128932121461185110168111569666937885168911109551338889709034101981014390758313770370636221660065316622517663437336717867986790
6전국_10,001~33,000㎡154161259015785167021752615137161821475711976141881354816021110691368916172151081508816320165501346712972128421618519950150091327819104203101819018880167581718215040155231862321843154501465315294159151478615724141921277712272111911058111968105891047611922112001297211415
7전국_33,000㎡초과273562208624226360243525427638216082158621552209292739030012176992893627437397463100640019261152101430604241962497933569174362276631281348563299331920297212800026313237792701640324230232678629454237762807235735242912233520596267632295341641159252077518102158822907038212
8서울_330㎡이하39727634341246749363968662271084510408258208234845249141240753572547534800600638604658667604592565491429436389284274286369443366295251228178142143137185274247309312
9서울_331~660㎡106566060555075596369777272728064605886928457838365851021009574856453637582615048518850453634242317121426143435
지역_거래규모2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
2222제주 제주시_10,001~33,000㎡1649614517956118404112114624286281551628052147401944678506212689123415590208122731141152333610410811110999170122342992188150541492659114
2223제주 제주시_33,000㎡초과008300341550220001220231079011400000350000001011353593331100000019713343306500037138000
2224제주 서귀포시_330㎡이하332936463733413039392935343530343446453038314152444744504852434040364359413548535749373732344027242637463635
2225제주 서귀포시_331~660㎡513455505429514330342536383543433844434034364748504955736672645545496568403852605962474446414535253538393937
2226제주 서귀포시_661~1,000㎡253032333129442429322829211933382832283627312853434531376253464427454952293147424256252823284231332133382432
2227제주 서귀포시_1,001~2,000㎡81697470966210277506178717075866661718385756860838811290114751271041087267881378252107101110110558059598043486050615573
2228제주 서귀포시_2,001~5,000㎡22618118316719213625122810914317515011016621313516612917512414314113923314224425623123119122123420314422719119015724226818618118416613910218612010617615479124204
2229제주 서귀포시_5,001~10,000㎡1341339212314770321154621281035171103118184768737131271031141608713314010577126128117841131821161116417494175729172555852687616720410261102
2230제주 서귀포시_10,001~33,000㎡91321824815012801162311110556124523124189718906521651585012110580228622393226245125992560127836741076614403226157712411111
2231제주 서귀포시_33,000㎡초과475202710580370350860002100000000156035335700350139440000000003414600039570000