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(필지수) 데이터입니다. -(단위 : 필지수) - 공표시기 : 익월 말일경
URLhttps://www.data.go.kr/data/15068111/fileData.do

Alerts

2019-01 is highly skewed (γ1 = 38.09069032)Skewed
2019-02 is highly skewed (γ1 = 38.4210946)Skewed
2019-03 is highly skewed (γ1 = 38.00378043)Skewed
2019-04 is highly skewed (γ1 = 38.40440751)Skewed
2019-05 is highly skewed (γ1 = 38.3739541)Skewed
2019-06 is highly skewed (γ1 = 38.6372353)Skewed
2019-07 is highly skewed (γ1 = 38.91604363)Skewed
2019-08 is highly skewed (γ1 = 38.86114482)Skewed
2019-09 is highly skewed (γ1 = 39.12267005)Skewed
2019-10 is highly skewed (γ1 = 39.06337053)Skewed
2019-11 is highly skewed (γ1 = 39.0172412)Skewed
2019-12 is highly skewed (γ1 = 39.01896612)Skewed
2020-01 is highly skewed (γ1 = 38.80087472)Skewed
2020-02 is highly skewed (γ1 = 38.31644509)Skewed
2020-03 is highly skewed (γ1 = 38.18326893)Skewed
2020-04 is highly skewed (γ1 = 38.73239754)Skewed
2020-05 is highly skewed (γ1 = 38.97006696)Skewed
2020-06 is highly skewed (γ1 = 38.76614791)Skewed
2020-07 is highly skewed (γ1 = 38.75365137)Skewed
2020-08 is highly skewed (γ1 = 38.91397271)Skewed
2020-09 is highly skewed (γ1 = 38.92852602)Skewed
2020-10 is highly skewed (γ1 = 39.16085888)Skewed
2020-11 is highly skewed (γ1 = 39.66383044)Skewed
2020-12 is highly skewed (γ1 = 39.21366458)Skewed
2021-01 is highly skewed (γ1 = 38.58444519)Skewed
2021-02 is highly skewed (γ1 = 38.34605798)Skewed
2021-03 is highly skewed (γ1 = 38.46680858)Skewed
2021-04 is highly skewed (γ1 = 38.35491161)Skewed
2021-05 is highly skewed (γ1 = 38.83742246)Skewed
2021-06 is highly skewed (γ1 = 38.66810079)Skewed
2021-07 is highly skewed (γ1 = 38.80260259)Skewed
2021-08 is highly skewed (γ1 = 39.02389747)Skewed
2021-09 is highly skewed (γ1 = 39.09203085)Skewed
2021-10 is highly skewed (γ1 = 39.16693472)Skewed
2021-11 is highly skewed (γ1 = 38.93805873)Skewed
2021-12 is highly skewed (γ1 = 37.84512738)Skewed
2022-01 is highly skewed (γ1 = 38.13015319)Skewed
2022-02 is highly skewed (γ1 = 38.15177733)Skewed
2022-03 is highly skewed (γ1 = 38.14337945)Skewed
2022-04 is highly skewed (γ1 = 38.45100507)Skewed
2022-05 is highly skewed (γ1 = 38.79198538)Skewed
2022-06 is highly skewed (γ1 = 38.59278346)Skewed
2022-07 is highly skewed (γ1 = 38.51185614)Skewed
2022-08 is highly skewed (γ1 = 38.52091501)Skewed
2022-09 is highly skewed (γ1 = 38.79696387)Skewed
2022-10 is highly skewed (γ1 = 38.59990293)Skewed
2022-11 is highly skewed (γ1 = 38.12081367)Skewed
2022-12 is highly skewed (γ1 = 38.23463494)Skewed
2023-01 is highly skewed (γ1 = 38.59908437)Skewed
2023-02 is highly skewed (γ1 = 38.80927257)Skewed
2023-03 is highly skewed (γ1 = 38.98534819)Skewed
2023-04 is highly skewed (γ1 = 38.80102023)Skewed
2023-05 is highly skewed (γ1 = 39.22547276)Skewed
2023-06 is highly skewed (γ1 = 39.17910496)Skewed
지역_거래규모 has unique valuesUnique
2019-01 has 375 (16.8%) zerosZeros
2019-02 has 436 (19.5%) zerosZeros
2019-03 has 387 (17.3%) zerosZeros
2019-04 has 397 (17.8%) zerosZeros
2019-05 has 374 (16.8%) zerosZeros
2019-06 has 403 (18.1%) zerosZeros
2019-07 has 378 (16.9%) zerosZeros
2019-08 has 398 (17.8%) zerosZeros
2019-09 has 413 (18.5%) zerosZeros
2019-10 has 409 (18.3%) zerosZeros
2019-11 has 406 (18.2%) zerosZeros
2019-12 has 369 (16.5%) zerosZeros
2020-01 has 404 (18.1%) zerosZeros
2020-02 has 387 (17.3%) zerosZeros
2020-03 has 357 (16.0%) zerosZeros
2020-04 has 395 (17.7%) zerosZeros
2020-05 has 378 (16.9%) zerosZeros
2020-06 has 355 (15.9%) zerosZeros
2020-07 has 351 (15.7%) zerosZeros
2020-08 has 395 (17.7%) zerosZeros
2020-09 has 389 (17.4%) zerosZeros
2020-10 has 400 (17.9%) zerosZeros
2020-11 has 366 (16.4%) zerosZeros
2020-12 has 328 (14.7%) zerosZeros
2021-01 has 389 (17.4%) zerosZeros
2021-02 has 395 (17.7%) zerosZeros
2021-03 has 346 (15.5%) zerosZeros
2021-04 has 349 (15.6%) zerosZeros
2021-05 has 357 (16.0%) zerosZeros
2021-06 has 346 (15.5%) zerosZeros
2021-07 has 355 (15.9%) zerosZeros
2021-08 has 378 (16.9%) zerosZeros
2021-09 has 398 (17.8%) zerosZeros
2021-10 has 397 (17.8%) zerosZeros
2021-11 has 379 (17.0%) zerosZeros
2021-12 has 301 (13.5%) zerosZeros
2022-01 has 393 (17.6%) zerosZeros
2022-02 has 430 (19.3%) zerosZeros
2022-03 has 393 (17.6%) zerosZeros
2022-04 has 393 (17.6%) zerosZeros
2022-05 has 385 (17.2%) zerosZeros
2022-06 has 390 (17.5%) zerosZeros
2022-07 has 428 (19.2%) zerosZeros
2022-08 has 482 (21.6%) zerosZeros
2022-09 has 472 (21.1%) zerosZeros
2022-10 has 490 (22.0%) zerosZeros
2022-11 has 510 (22.8%) zerosZeros
2022-12 has 473 (21.2%) zerosZeros
2023-01 has 541 (24.2%) zerosZeros
2023-02 has 532 (23.8%) zerosZeros
2023-03 has 510 (22.8%) zerosZeros
2023-04 has 501 (22.4%) zerosZeros
2023-05 has 470 (21.1%) zerosZeros
2023-06 has 476 (21.3%) zerosZeros

Reproduction

Analysis started2023-12-12 21:14:58.389383
Analysis finished2023-12-12 21:14:59.063138
Duration0.67 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
2023-12-13T06:14:59.199306image/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%
2023-12-13T06:14:59.591513image/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%
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 (%)
928
 
7.4%
888
 
7.1%
816
 
6.5%
680
 
5.4%
656
 
5.2%
536
 
4.3%
408
 
3.3%
400
 
3.2%
376
 
3.0%
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 (%)
928
 
7.4%
888
 
7.1%
816
 
6.5%
680
 
5.4%
656
 
5.2%
536
 
4.3%
408
 
3.3%
400
 
3.2%
376
 
3.0%
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 (%)
928
 
7.4%
888
 
7.1%
816
 
6.5%
680
 
5.4%
656
 
5.2%
536
 
4.3%
408
 
3.3%
400
 
3.2%
376
 
3.0%
336
 
2.7%
Other values (133) 6524
52.0%

2019-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean174.8526
Minimum0
Maximum86364
Zeros375
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:14:59.774352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q361
95-th percentile515.45
Maximum86364
Range86364
Interquartile range (IQR)59

Descriptive statistics

Standard deviation1981.1777
Coefficient of variation (CV)11.330559
Kurtosis1619.1154
Mean174.8526
Median Absolute Deviation (MAD)12
Skewness38.09069
Sum390271
Variance3925065
MonotonicityNot monotonic
2023-12-13T06:14:59.974245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375
 
16.8%
1 163
 
7.3%
2 121
 
5.4%
3 78
 
3.5%
4 77
 
3.4%
5 76
 
3.4%
7 56
 
2.5%
6 41
 
1.8%
8 39
 
1.7%
9 34
 
1.5%
Other values (367) 1172
52.5%
ValueCountFrequency (%)
0 375
16.8%
1 163
7.3%
2 121
 
5.4%
3 78
 
3.5%
4 77
 
3.4%
5 76
 
3.4%
6 41
 
1.8%
7 56
 
2.5%
8 39
 
1.7%
9 34
 
1.5%
ValueCountFrequency (%)
86364 1
< 0.1%
24978 1
< 0.1%
12336 1
< 0.1%
9303 1
< 0.1%
8691 1
< 0.1%
7094 1
< 0.1%
6752 1
< 0.1%
5903 1
< 0.1%
5086 1
< 0.1%
4862 1
< 0.1%

2019-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct347
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143.0112
Minimum0
Maximum71339
Zeros436
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:00.130241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q349
95-th percentile416.45
Maximum71339
Range71339
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1630.0694
Coefficient of variation (CV)11.398194
Kurtosis1643.1703
Mean143.0112
Median Absolute Deviation (MAD)9
Skewness38.421095
Sum319201
Variance2657126.4
MonotonicityNot monotonic
2023-12-13T06:15:00.314424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 436
 
19.5%
1 170
 
7.6%
2 131
 
5.9%
3 96
 
4.3%
4 63
 
2.8%
5 60
 
2.7%
6 58
 
2.6%
7 50
 
2.2%
8 40
 
1.8%
9 28
 
1.3%
Other values (337) 1100
49.3%
ValueCountFrequency (%)
0 436
19.5%
1 170
 
7.6%
2 131
 
5.9%
3 96
 
4.3%
4 63
 
2.8%
5 60
 
2.7%
6 58
 
2.6%
7 50
 
2.2%
8 40
 
1.8%
9 28
 
1.3%
ValueCountFrequency (%)
71339 1
< 0.1%
19839 1
< 0.1%
9277 1
< 0.1%
7731 1
< 0.1%
6744 1
< 0.1%
6099 1
< 0.1%
5156 1
< 0.1%
5064 1
< 0.1%
4734 1
< 0.1%
4283 1
< 0.1%

2019-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct382
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean179.76165
Minimum0
Maximum88155
Zeros387
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:00.490472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q364
95-th percentile515.7
Maximum88155
Range88155
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2023.375
Coefficient of variation (CV)11.255877
Kurtosis1614.9042
Mean179.76165
Median Absolute Deviation (MAD)12
Skewness38.00378
Sum401228
Variance4094046.5
MonotonicityNot monotonic
2023-12-13T06:15:00.634006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 387
 
17.3%
1 168
 
7.5%
2 111
 
5.0%
3 96
 
4.3%
5 65
 
2.9%
4 61
 
2.7%
6 52
 
2.3%
7 43
 
1.9%
8 36
 
1.6%
9 33
 
1.5%
Other values (372) 1180
52.9%
ValueCountFrequency (%)
0 387
17.3%
1 168
7.5%
2 111
 
5.0%
3 96
 
4.3%
4 61
 
2.7%
5 65
 
2.9%
6 52
 
2.3%
7 43
 
1.9%
8 36
 
1.6%
9 33
 
1.5%
ValueCountFrequency (%)
88155 1
< 0.1%
25153 1
< 0.1%
12127 1
< 0.1%
10080 1
< 0.1%
8970 1
< 0.1%
7936 1
< 0.1%
7111 1
< 0.1%
6257 1
< 0.1%
5550 1
< 0.1%
5464 1
< 0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct395
Distinct (%)17.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.68728
Minimum0
Maximum94581
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:00.783961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q366
95-th percentile538
Maximum94581
Range94581
Interquartile range (IQR)64

Descriptive statistics

Standard deviation2161.3495
Coefficient of variation (CV)11.454665
Kurtosis1642.3627
Mean188.68728
Median Absolute Deviation (MAD)12
Skewness38.404408
Sum421150
Variance4671431.6
MonotonicityNot monotonic
2023-12-13T06:15:00.909547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
1 141
 
6.3%
2 119
 
5.3%
3 87
 
3.9%
5 76
 
3.4%
4 60
 
2.7%
6 56
 
2.5%
7 44
 
2.0%
8 41
 
1.8%
10 29
 
1.3%
Other values (385) 1182
53.0%
ValueCountFrequency (%)
0 397
17.8%
1 141
 
6.3%
2 119
 
5.3%
3 87
 
3.9%
4 60
 
2.7%
5 76
 
3.4%
6 56
 
2.5%
7 44
 
2.0%
8 41
 
1.8%
9 28
 
1.3%
ValueCountFrequency (%)
94581 1
< 0.1%
26072 1
< 0.1%
12643 1
< 0.1%
10109 1
< 0.1%
9973 1
< 0.1%
7301 1
< 0.1%
7082 1
< 0.1%
6854 1
< 0.1%
6691 1
< 0.1%
6117 1
< 0.1%

2019-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct375
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.24686
Minimum0
Maximum93584
Zeros374
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:01.051097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q361
95-th percentile555.9
Maximum93584
Range93584
Interquartile range (IQR)59

Descriptive statistics

Standard deviation2140.8167
Coefficient of variation (CV)11.619284
Kurtosis1637.2252
Mean184.24686
Median Absolute Deviation (MAD)12
Skewness38.373954
Sum411239
Variance4583096.1
MonotonicityNot monotonic
2023-12-13T06:15:01.182108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 374
 
16.8%
1 148
 
6.6%
2 101
 
4.5%
3 99
 
4.4%
4 90
 
4.0%
5 53
 
2.4%
6 52
 
2.3%
7 50
 
2.2%
8 48
 
2.2%
9 41
 
1.8%
Other values (365) 1176
52.7%
ValueCountFrequency (%)
0 374
16.8%
1 148
 
6.6%
2 101
 
4.5%
3 99
 
4.4%
4 90
 
4.0%
5 53
 
2.4%
6 52
 
2.3%
7 50
 
2.2%
8 48
 
2.2%
9 41
 
1.8%
ValueCountFrequency (%)
93584 1
< 0.1%
26873 1
< 0.1%
12028 1
< 0.1%
11249 1
< 0.1%
9324 1
< 0.1%
6510 1
< 0.1%
6488 1
< 0.1%
6438 1
< 0.1%
5711 1
< 0.1%
5386 1
< 0.1%

2019-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct360
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.74955
Minimum0
Maximum86286
Zeros403
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:01.312339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q349
95-th percentile516.45
Maximum86286
Range86286
Interquartile range (IQR)48

Descriptive statistics

Standard deviation1969.1757
Coefficient of variation (CV)11.952541
Kurtosis1653.1929
Mean164.74955
Median Absolute Deviation (MAD)10
Skewness38.637235
Sum367721
Variance3877652.9
MonotonicityNot monotonic
2023-12-13T06:15:01.440020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 403
 
18.1%
1 162
 
7.3%
2 134
 
6.0%
3 106
 
4.7%
5 65
 
2.9%
4 64
 
2.9%
6 50
 
2.2%
7 44
 
2.0%
8 39
 
1.7%
10 35
 
1.6%
Other values (350) 1130
50.6%
ValueCountFrequency (%)
0 403
18.1%
1 162
7.3%
2 134
 
6.0%
3 106
 
4.7%
4 64
 
2.9%
5 65
 
2.9%
6 50
 
2.2%
7 44
 
2.0%
8 39
 
1.7%
9 32
 
1.4%
ValueCountFrequency (%)
86286 1
< 0.1%
24720 1
< 0.1%
11596 1
< 0.1%
10293 1
< 0.1%
7568 1
< 0.1%
5896 1
< 0.1%
5459 1
< 0.1%
5271 1
< 0.1%
5047 1
< 0.1%
4793 1
< 0.1%

2019-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct378
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean195.85753
Minimum0
Maximum104611
Zeros378
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:01.598855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q356
95-th percentile632.6
Maximum104611
Range104611
Interquartile range (IQR)54

Descriptive statistics

Standard deviation2379.8181
Coefficient of variation (CV)12.150761
Kurtosis1672.9512
Mean195.85753
Median Absolute Deviation (MAD)12
Skewness38.916044
Sum437154
Variance5663534
MonotonicityNot monotonic
2023-12-13T06:15:01.769102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 378
 
16.9%
1 160
 
7.2%
2 119
 
5.3%
3 97
 
4.3%
4 69
 
3.1%
6 61
 
2.7%
5 60
 
2.7%
7 52
 
2.3%
8 39
 
1.7%
9 33
 
1.5%
Other values (368) 1164
52.2%
ValueCountFrequency (%)
0 378
16.9%
1 160
7.2%
2 119
 
5.3%
3 97
 
4.3%
4 69
 
3.1%
5 60
 
2.7%
6 61
 
2.7%
7 52
 
2.3%
8 39
 
1.7%
9 33
 
1.5%
ValueCountFrequency (%)
104611 1
< 0.1%
28588 1
< 0.1%
16199 1
< 0.1%
11473 1
< 0.1%
8294 1
< 0.1%
6922 1
< 0.1%
6446 1
< 0.1%
6281 1
< 0.1%
5902 1
< 0.1%
5402 1
< 0.1%

2019-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct371
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean180.92563
Minimum0
Maximum98558
Zeros398
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:01.902137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q348
95-th percentile600.9
Maximum98558
Range98558
Interquartile range (IQR)47

Descriptive statistics

Standard deviation2244.6891
Coefficient of variation (CV)12.406695
Kurtosis1666.6686
Mean180.92563
Median Absolute Deviation (MAD)10
Skewness38.861145
Sum403826
Variance5038629.2
MonotonicityNot monotonic
2023-12-13T06:15:02.043232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 398
 
17.8%
1 189
 
8.5%
2 112
 
5.0%
4 90
 
4.0%
3 85
 
3.8%
6 60
 
2.7%
5 48
 
2.2%
7 44
 
2.0%
8 43
 
1.9%
10 36
 
1.6%
Other values (361) 1127
50.5%
ValueCountFrequency (%)
0 398
17.8%
1 189
8.5%
2 112
 
5.0%
3 85
 
3.8%
4 90
 
4.0%
5 48
 
2.2%
6 60
 
2.7%
7 44
 
2.0%
8 43
 
1.9%
9 26
 
1.2%
ValueCountFrequency (%)
98558 1
< 0.1%
27505 1
< 0.1%
16836 1
< 0.1%
9835 1
< 0.1%
7134 1
< 0.1%
6682 1
< 0.1%
5793 1
< 0.1%
5503 1
< 0.1%
5109 1
< 0.1%
5046 1
< 0.1%

2019-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct346
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.65367
Minimum0
Maximum93997
Zeros413
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:02.202167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q343
95-th percentile582.8
Maximum93997
Range93997
Interquartile range (IQR)42

Descriptive statistics

Standard deviation2135.2139
Coefficient of variation (CV)12.585722
Kurtosis1683.9915
Mean169.65367
Median Absolute Deviation (MAD)9
Skewness39.12267
Sum378667
Variance4559138.4
MonotonicityNot monotonic
2023-12-13T06:15:02.344566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
 
18.5%
1 202
 
9.1%
2 132
 
5.9%
3 94
 
4.2%
5 69
 
3.1%
4 59
 
2.6%
7 57
 
2.6%
6 57
 
2.6%
13 31
 
1.4%
8 30
 
1.3%
Other values (336) 1088
48.7%
ValueCountFrequency (%)
0 413
18.5%
1 202
9.1%
2 132
 
5.9%
3 94
 
4.2%
4 59
 
2.6%
5 69
 
3.1%
6 57
 
2.6%
7 57
 
2.6%
8 30
 
1.3%
9 25
 
1.1%
ValueCountFrequency (%)
93997 1
< 0.1%
26169 1
< 0.1%
15031 1
< 0.1%
8853 1
< 0.1%
6255 1
< 0.1%
6218 1
< 0.1%
5808 1
< 0.1%
5238 1
< 0.1%
4687 1
< 0.1%
4608 1
< 0.1%

2019-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct379
Distinct (%)17.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean212.43011
Minimum0
Maximum118293
Zeros409
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:02.788120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q352
95-th percentile695.7
Maximum118293
Range118293
Interquartile range (IQR)51

Descriptive statistics

Standard deviation2690.0201
Coefficient of variation (CV)12.663083
Kurtosis1678.0578
Mean212.43011
Median Absolute Deviation (MAD)10
Skewness39.063371
Sum474144
Variance7236208
MonotonicityNot monotonic
2023-12-13T06:15:02.916234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 409
 
18.3%
1 166
 
7.4%
2 105
 
4.7%
3 97
 
4.3%
4 96
 
4.3%
6 60
 
2.7%
7 54
 
2.4%
5 53
 
2.4%
8 38
 
1.7%
9 30
 
1.3%
Other values (369) 1124
50.4%
ValueCountFrequency (%)
0 409
18.3%
1 166
7.4%
2 105
 
4.7%
3 97
 
4.3%
4 96
 
4.3%
5 53
 
2.4%
6 60
 
2.7%
7 54
 
2.4%
8 38
 
1.7%
9 30
 
1.3%
ValueCountFrequency (%)
118293 1
< 0.1%
34097 1
< 0.1%
18004 1
< 0.1%
10895 1
< 0.1%
8141 1
< 0.1%
7827 1
< 0.1%
7034 1
< 0.1%
6532 1
< 0.1%
6331 1
< 0.1%
5707 1
< 0.1%

2019-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct383
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.41443
Minimum0
Maximum128790
Zeros406
Zeros (%)18.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:03.080422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q353
95-th percentile773.35
Maximum128790
Range128790
Interquartile range (IQR)52

Descriptive statistics

Standard deviation2930.4804
Coefficient of variation (CV)12.773741
Kurtosis1674.4115
Mean229.41443
Median Absolute Deviation (MAD)10
Skewness39.017241
Sum512053
Variance8587715.6
MonotonicityNot monotonic
2023-12-13T06:15:03.250680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 406
 
18.2%
1 159
 
7.1%
2 133
 
6.0%
3 90
 
4.0%
4 81
 
3.6%
5 67
 
3.0%
7 46
 
2.1%
6 44
 
2.0%
8 44
 
2.0%
10 32
 
1.4%
Other values (373) 1130
50.6%
ValueCountFrequency (%)
0 406
18.2%
1 159
 
7.1%
2 133
 
6.0%
3 90
 
4.0%
4 81
 
3.6%
5 67
 
3.0%
6 44
 
2.0%
7 46
 
2.1%
8 44
 
2.0%
9 29
 
1.3%
ValueCountFrequency (%)
128790 1
< 0.1%
37195 1
< 0.1%
20786 1
< 0.1%
10556 1
< 0.1%
9203 1
< 0.1%
8231 1
< 0.1%
8044 1
< 0.1%
7054 1
< 0.1%
6848 1
< 0.1%
6228 1
< 0.1%

2019-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct390
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean280.8862
Minimum0
Maximum159738
Zeros369
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:03.381792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q362.25
95-th percentile947.6
Maximum159738
Range159738
Interquartile range (IQR)60.25

Descriptive statistics

Standard deviation3635.3637
Coefficient of variation (CV)12.942479
Kurtosis1673.5497
Mean280.8862
Median Absolute Deviation (MAD)12
Skewness39.018966
Sum626938
Variance13215870
MonotonicityNot monotonic
2023-12-13T06:15:03.526595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 369
 
16.5%
1 162
 
7.3%
2 110
 
4.9%
3 96
 
4.3%
6 72
 
3.2%
4 66
 
3.0%
5 64
 
2.9%
7 45
 
2.0%
8 43
 
1.9%
9 31
 
1.4%
Other values (380) 1174
52.6%
ValueCountFrequency (%)
0 369
16.5%
1 162
7.3%
2 110
 
4.9%
3 96
 
4.3%
4 66
 
3.0%
5 64
 
2.9%
6 72
 
3.2%
7 45
 
2.0%
8 43
 
1.9%
9 31
 
1.4%
ValueCountFrequency (%)
159738 1
< 0.1%
46142 1
< 0.1%
27291 1
< 0.1%
12335 1
< 0.1%
11852 1
< 0.1%
9966 1
< 0.1%
9633 1
< 0.1%
8094 1
< 0.1%
7491 1
< 0.1%
7166 1
< 0.1%

2020-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean242.20116
Minimum0
Maximum137203
Zeros404
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:03.658005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q353
95-th percentile796.45
Maximum137203
Range137203
Interquartile range (IQR)52

Descriptive statistics

Standard deviation3132.7719
Coefficient of variation (CV)12.934586
Kurtosis1654.9688
Mean242.20116
Median Absolute Deviation (MAD)10
Skewness38.800875
Sum540593
Variance9814259.6
MonotonicityNot monotonic
2023-12-13T06:15:03.799536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 404
 
18.1%
1 173
 
7.8%
2 138
 
6.2%
3 96
 
4.3%
4 74
 
3.3%
5 58
 
2.6%
6 54
 
2.4%
8 41
 
1.8%
7 38
 
1.7%
11 31
 
1.4%
Other values (367) 1125
50.4%
ValueCountFrequency (%)
0 404
18.1%
1 173
7.8%
2 138
 
6.2%
3 96
 
4.3%
4 74
 
3.3%
5 58
 
2.6%
6 54
 
2.4%
7 38
 
1.7%
8 41
 
1.8%
9 23
 
1.0%
ValueCountFrequency (%)
137203 1
< 0.1%
42658 1
< 0.1%
20706 1
< 0.1%
10569 1
< 0.1%
9411 1
< 0.1%
9119 1
< 0.1%
8416 1
< 0.1%
6943 1
< 0.1%
6705 1
< 0.1%
6048 1
< 0.1%

2020-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct391
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean272.12097
Minimum0
Maximum152934
Zeros387
Zeros (%)17.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:03.926172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q361
95-th percentile863.3
Maximum152934
Range152934
Interquartile range (IQR)59

Descriptive statistics

Standard deviation3516.3134
Coefficient of variation (CV)12.921876
Kurtosis1615.7237
Mean272.12097
Median Absolute Deviation (MAD)12
Skewness38.316445
Sum607374
Variance12364460
MonotonicityNot monotonic
2023-12-13T06:15:04.049957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 387
 
17.3%
1 143
 
6.4%
2 134
 
6.0%
3 94
 
4.2%
4 84
 
3.8%
6 55
 
2.5%
5 50
 
2.2%
7 49
 
2.2%
8 38
 
1.7%
9 28
 
1.3%
Other values (381) 1170
52.4%
ValueCountFrequency (%)
0 387
17.3%
1 143
 
6.4%
2 134
 
6.0%
3 94
 
4.2%
4 84
 
3.8%
5 50
 
2.2%
6 55
 
2.5%
7 49
 
2.2%
8 38
 
1.7%
9 28
 
1.3%
ValueCountFrequency (%)
152934 1
< 0.1%
52127 1
< 0.1%
20778 1
< 0.1%
11957 1
< 0.1%
11776 1
< 0.1%
9476 1
< 0.1%
8202 1
< 0.1%
7546 1
< 0.1%
7361 1
< 0.1%
7160 1
< 0.1%

2020-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct404
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266.87993
Minimum0
Maximum147577
Zeros357
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:04.174974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q366
95-th percentile815.25
Maximum147577
Range147577
Interquartile range (IQR)64

Descriptive statistics

Standard deviation3396.1884
Coefficient of variation (CV)12.72553
Kurtosis1608.8088
Mean266.87993
Median Absolute Deviation (MAD)13
Skewness38.183269
Sum595676
Variance11534096
MonotonicityNot monotonic
2023-12-13T06:15:04.290719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 357
 
16.0%
1 152
 
6.8%
2 115
 
5.2%
4 89
 
4.0%
3 78
 
3.5%
6 64
 
2.9%
5 64
 
2.9%
7 48
 
2.2%
8 34
 
1.5%
9 32
 
1.4%
Other values (394) 1199
53.7%
ValueCountFrequency (%)
0 357
16.0%
1 152
6.8%
2 115
 
5.2%
3 78
 
3.5%
4 89
 
4.0%
5 64
 
2.9%
6 64
 
2.9%
7 48
 
2.2%
8 34
 
1.5%
9 32
 
1.4%
ValueCountFrequency (%)
147577 1
< 0.1%
49645 1
< 0.1%
20534 1
< 0.1%
14153 1
< 0.1%
12538 1
< 0.1%
10640 1
< 0.1%
8379 1
< 0.1%
7588 1
< 0.1%
7216 1
< 0.1%
7024 1
< 0.1%

2020-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct388
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean205.16667
Minimum0
Maximum108938
Zeros395
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:04.418967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q361
95-th percentile646.45
Maximum108938
Range108938
Interquartile range (IQR)59

Descriptive statistics

Standard deviation2484.6663
Coefficient of variation (CV)12.110478
Kurtosis1658.061
Mean205.16667
Median Absolute Deviation (MAD)11
Skewness38.732398
Sum457932
Variance6173566.7
MonotonicityNot monotonic
2023-12-13T06:15:04.572115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
 
17.7%
1 160
 
7.2%
2 110
 
4.9%
3 99
 
4.4%
4 78
 
3.5%
6 68
 
3.0%
5 54
 
2.4%
8 40
 
1.8%
10 37
 
1.7%
7 37
 
1.7%
Other values (378) 1154
51.7%
ValueCountFrequency (%)
0 395
17.7%
1 160
7.2%
2 110
 
4.9%
3 99
 
4.4%
4 78
 
3.5%
5 54
 
2.4%
6 68
 
3.0%
7 37
 
1.7%
8 40
 
1.8%
9 34
 
1.5%
ValueCountFrequency (%)
108938 1
< 0.1%
31972 1
< 0.1%
12393 1
< 0.1%
11627 1
< 0.1%
9250 1
< 0.1%
9238 1
< 0.1%
7144 1
< 0.1%
6899 1
< 0.1%
6564 1
< 0.1%
6488 1
< 0.1%

2020-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct388
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean216.35305
Minimum0
Maximum117364
Zeros378
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:04.736365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median10
Q359
95-th percentile704.9
Maximum117364
Range117364
Interquartile range (IQR)57

Descriptive statistics

Standard deviation2671.0813
Coefficient of variation (CV)12.345938
Kurtosis1672.7195
Mean216.35305
Median Absolute Deviation (MAD)10
Skewness38.970067
Sum482900
Variance7134675.5
MonotonicityNot monotonic
2023-12-13T06:15:04.856230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 378
 
16.9%
1 170
 
7.6%
2 127
 
5.7%
3 100
 
4.5%
4 74
 
3.3%
5 62
 
2.8%
6 58
 
2.6%
8 45
 
2.0%
7 41
 
1.8%
9 40
 
1.8%
Other values (378) 1137
50.9%
ValueCountFrequency (%)
0 378
16.9%
1 170
7.6%
2 127
 
5.7%
3 100
 
4.5%
4 74
 
3.3%
5 62
 
2.8%
6 58
 
2.6%
7 41
 
1.8%
8 45
 
2.0%
9 40
 
1.8%
ValueCountFrequency (%)
117364 1
< 0.1%
34537 1
< 0.1%
13102 1
< 0.1%
11772 1
< 0.1%
9187 1
< 0.1%
8994 1
< 0.1%
7094 1
< 0.1%
7079 1
< 0.1%
6500 1
< 0.1%
6317 1
< 0.1%

2020-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct421
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean317.29749
Minimum0
Maximum181884
Zeros355
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:04.998109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q365
95-th percentile1043.25
Maximum181884
Range181884
Interquartile range (IQR)63

Descriptive statistics

Standard deviation4158.8679
Coefficient of variation (CV)13.107157
Kurtosis1648.5851
Mean317.29749
Median Absolute Deviation (MAD)13
Skewness38.766148
Sum708208
Variance17296182
MonotonicityNot monotonic
2023-12-13T06:15:05.123249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
15.9%
1 161
 
7.2%
2 98
 
4.4%
3 79
 
3.5%
4 78
 
3.5%
5 74
 
3.3%
6 56
 
2.5%
7 48
 
2.2%
9 41
 
1.8%
8 39
 
1.7%
Other values (411) 1203
53.9%
ValueCountFrequency (%)
0 355
15.9%
1 161
7.2%
2 98
 
4.4%
3 79
 
3.5%
4 78
 
3.5%
5 74
 
3.3%
6 56
 
2.5%
7 48
 
2.2%
8 39
 
1.7%
9 41
 
1.8%
ValueCountFrequency (%)
181884 1
< 0.1%
59349 1
< 0.1%
23478 1
< 0.1%
14411 1
< 0.1%
13964 1
< 0.1%
11416 1
< 0.1%
10116 1
< 0.1%
8985 1
< 0.1%
8582 1
< 0.1%
7355 1
< 0.1%

2020-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct420
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.49238
Minimum0
Maximum189391
Zeros351
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:05.261983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q366
95-th percentile1109.6
Maximum189391
Range189391
Interquartile range (IQR)64

Descriptive statistics

Standard deviation4327.5845
Coefficient of variation (CV)13.214306
Kurtosis1650.6286
Mean327.49238
Median Absolute Deviation (MAD)13
Skewness38.753651
Sum730963
Variance18727988
MonotonicityNot monotonic
2023-12-13T06:15:05.417216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 351
 
15.7%
1 139
 
6.2%
2 122
 
5.5%
3 98
 
4.4%
4 81
 
3.6%
5 70
 
3.1%
7 54
 
2.4%
6 52
 
2.3%
9 35
 
1.6%
8 33
 
1.5%
Other values (410) 1197
53.6%
ValueCountFrequency (%)
0 351
15.7%
1 139
 
6.2%
2 122
 
5.5%
3 98
 
4.4%
4 81
 
3.6%
5 70
 
3.1%
6 52
 
2.3%
7 54
 
2.4%
8 33
 
1.5%
9 35
 
1.6%
ValueCountFrequency (%)
189391 1
< 0.1%
58823 1
< 0.1%
31365 1
< 0.1%
14912 1
< 0.1%
14721 1
< 0.1%
10367 1
< 0.1%
10079 1
< 0.1%
9939 1
< 0.1%
9719 1
< 0.1%
9027 1
< 0.1%

2020-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct377
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.95027
Minimum0
Maximum122863
Zeros395
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:05.585238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q353.25
95-th percentile726.8
Maximum122863
Range122863
Interquartile range (IQR)52.25

Descriptive statistics

Standard deviation2799.5242
Coefficient of variation (CV)12.670382
Kurtosis1666.1525
Mean220.95027
Median Absolute Deviation (MAD)11
Skewness38.913973
Sum493161
Variance7837336
MonotonicityNot monotonic
2023-12-13T06:15:05.721140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
 
17.7%
1 173
 
7.8%
2 126
 
5.6%
3 75
 
3.4%
4 69
 
3.1%
5 59
 
2.6%
6 56
 
2.5%
7 50
 
2.2%
8 41
 
1.8%
9 37
 
1.7%
Other values (367) 1151
51.6%
ValueCountFrequency (%)
0 395
17.7%
1 173
7.8%
2 126
 
5.6%
3 75
 
3.4%
4 69
 
3.1%
5 59
 
2.6%
6 56
 
2.5%
7 50
 
2.2%
8 41
 
1.8%
9 37
 
1.7%
ValueCountFrequency (%)
122863 1
< 0.1%
36533 1
< 0.1%
18611 1
< 0.1%
11599 1
< 0.1%
8257 1
< 0.1%
7857 1
< 0.1%
6684 1
< 0.1%
6388 1
< 0.1%
6169 1
< 0.1%
6105 1
< 0.1%

2020-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct376
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean217.37276
Minimum0
Maximum118860
Zeros389
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:05.851963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q357
95-th percentile679
Maximum118860
Range118860
Interquartile range (IQR)55

Descriptive statistics

Standard deviation2707.3128
Coefficient of variation (CV)12.454701
Kurtosis1668.2688
Mean217.37276
Median Absolute Deviation (MAD)11
Skewness38.928526
Sum485176
Variance7329542.7
MonotonicityNot monotonic
2023-12-13T06:15:06.002043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 389
 
17.4%
1 155
 
6.9%
2 131
 
5.9%
3 101
 
4.5%
4 83
 
3.7%
5 61
 
2.7%
7 49
 
2.2%
8 47
 
2.1%
6 43
 
1.9%
10 28
 
1.3%
Other values (366) 1145
51.3%
ValueCountFrequency (%)
0 389
17.4%
1 155
 
6.9%
2 131
 
5.9%
3 101
 
4.5%
4 83
 
3.7%
5 61
 
2.7%
6 43
 
1.9%
7 49
 
2.2%
8 47
 
2.1%
9 22
 
1.0%
ValueCountFrequency (%)
118860 1
< 0.1%
35524 1
< 0.1%
14277 1
< 0.1%
12211 1
< 0.1%
8783 1
< 0.1%
8608 1
< 0.1%
7046 1
< 0.1%
6423 1
< 0.1%
6351 1
< 0.1%
6161 1
< 0.1%

2020-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean229.81586
Minimum0
Maximum127951
Zeros400
Zeros (%)17.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:06.130192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q356
95-th percentile747.35
Maximum127951
Range127951
Interquartile range (IQR)55

Descriptive statistics

Standard deviation2907.2525
Coefficient of variation (CV)12.650356
Kurtosis1684.1275
Mean229.81586
Median Absolute Deviation (MAD)10
Skewness39.160859
Sum512949
Variance8452117.1
MonotonicityNot monotonic
2023-12-13T06:15:06.265886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 400
 
17.9%
1 173
 
7.8%
2 124
 
5.6%
3 94
 
4.2%
4 88
 
3.9%
5 62
 
2.8%
8 45
 
2.0%
6 38
 
1.7%
10 38
 
1.7%
7 34
 
1.5%
Other values (388) 1136
50.9%
ValueCountFrequency (%)
0 400
17.9%
1 173
7.8%
2 124
 
5.6%
3 94
 
4.2%
4 88
 
3.9%
5 62
 
2.8%
6 38
 
1.7%
7 34
 
1.5%
8 45
 
2.0%
9 28
 
1.3%
ValueCountFrequency (%)
127951 1
< 0.1%
37725 1
< 0.1%
13968 1
< 0.1%
11896 1
< 0.1%
11615 1
< 0.1%
8517 1
< 0.1%
7297 1
< 0.1%
7290 1
< 0.1%
6977 1
< 0.1%
6381 1
< 0.1%

2020-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct408
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean282.85081
Minimum0
Maximum158159
Zeros366
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:06.390486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q369
95-th percentile930.35
Maximum158159
Range158159
Interquartile range (IQR)67

Descriptive statistics

Standard deviation3568.4283
Coefficient of variation (CV)12.615938
Kurtosis1726.519
Mean282.85081
Median Absolute Deviation (MAD)13
Skewness39.66383
Sum631323
Variance12733680
MonotonicityNot monotonic
2023-12-13T06:15:06.530569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 366
 
16.4%
1 145
 
6.5%
2 120
 
5.4%
3 85
 
3.8%
4 71
 
3.2%
5 67
 
3.0%
6 49
 
2.2%
7 47
 
2.1%
9 36
 
1.6%
10 35
 
1.6%
Other values (398) 1211
54.3%
ValueCountFrequency (%)
0 366
16.4%
1 145
 
6.5%
2 120
 
5.4%
3 85
 
3.8%
4 71
 
3.2%
5 67
 
3.0%
6 49
 
2.2%
7 47
 
2.1%
8 33
 
1.5%
9 36
 
1.6%
ValueCountFrequency (%)
158159 1
< 0.1%
39570 1
< 0.1%
21970 1
< 0.1%
13563 1
< 0.1%
13521 1
< 0.1%
12307 1
< 0.1%
10459 1
< 0.1%
8473 1
< 0.1%
8370 1
< 0.1%
8278 1
< 0.1%

2020-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct458
Distinct (%)20.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.17832
Minimum0
Maximum191296
Zeros328
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:06.975993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q386
95-th percentile1129.4
Maximum191296
Range191296
Interquartile range (IQR)84

Descriptive statistics

Standard deviation4343.0791
Coefficient of variation (CV)12.545786
Kurtosis1688.8067
Mean346.17832
Median Absolute Deviation (MAD)16
Skewness39.213665
Sum772670
Variance18862336
MonotonicityNot monotonic
2023-12-13T06:15:07.106036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 328
 
14.7%
1 158
 
7.1%
2 96
 
4.3%
4 89
 
4.0%
3 76
 
3.4%
5 64
 
2.9%
6 48
 
2.2%
9 46
 
2.1%
7 40
 
1.8%
8 36
 
1.6%
Other values (448) 1251
56.0%
ValueCountFrequency (%)
0 328
14.7%
1 158
7.1%
2 96
 
4.3%
3 76
 
3.4%
4 89
 
4.0%
5 64
 
2.9%
6 48
 
2.2%
7 40
 
1.8%
8 36
 
1.6%
9 46
 
2.1%
ValueCountFrequency (%)
191296 1
< 0.1%
55721 1
< 0.1%
21055 1
< 0.1%
16243 1
< 0.1%
15286 1
< 0.1%
13516 1
< 0.1%
13378 1
< 0.1%
11086 1
< 0.1%
10625 1
< 0.1%
10242 1
< 0.1%

2021-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct403
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.42473
Minimum0
Maximum131926
Zeros389
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:07.265377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q368
95-th percentile822
Maximum131926
Range131926
Interquartile range (IQR)66

Descriptive statistics

Standard deviation3017.6885
Coefficient of variation (CV)12.346085
Kurtosis1642.615
Mean244.42473
Median Absolute Deviation (MAD)12
Skewness38.584445
Sum545556
Variance9106444.1
MonotonicityNot monotonic
2023-12-13T06:15:07.397971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 389
 
17.4%
1 162
 
7.3%
2 118
 
5.3%
4 79
 
3.5%
3 77
 
3.4%
6 68
 
3.0%
5 52
 
2.3%
8 41
 
1.8%
7 41
 
1.8%
9 34
 
1.5%
Other values (393) 1171
52.5%
ValueCountFrequency (%)
0 389
17.4%
1 162
7.3%
2 118
 
5.3%
3 77
 
3.4%
4 79
 
3.5%
5 52
 
2.3%
6 68
 
3.0%
7 41
 
1.8%
8 41
 
1.8%
9 34
 
1.5%
ValueCountFrequency (%)
131926 1
< 0.1%
41275 1
< 0.1%
16243 1
< 0.1%
12787 1
< 0.1%
10641 1
< 0.1%
9587 1
< 0.1%
8317 1
< 0.1%
7778 1
< 0.1%
7287 1
< 0.1%
7109 1
< 0.1%

2021-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct398
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean233.84095
Minimum0
Maximum125676
Zeros395
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:07.552396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q364
95-th percentile773.6
Maximum125676
Range125676
Interquartile range (IQR)63

Descriptive statistics

Standard deviation2882.7069
Coefficient of variation (CV)12.327639
Kurtosis1625.6651
Mean233.84095
Median Absolute Deviation (MAD)12
Skewness38.346058
Sum521933
Variance8309998.8
MonotonicityNot monotonic
2023-12-13T06:15:07.706759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 395
 
17.7%
1 171
 
7.7%
2 105
 
4.7%
3 92
 
4.1%
5 73
 
3.3%
4 57
 
2.6%
6 56
 
2.5%
7 41
 
1.8%
8 38
 
1.7%
9 29
 
1.3%
Other values (388) 1175
52.6%
ValueCountFrequency (%)
0 395
17.7%
1 171
7.7%
2 105
 
4.7%
3 92
 
4.1%
4 57
 
2.6%
5 73
 
3.3%
6 56
 
2.5%
7 41
 
1.8%
8 38
 
1.7%
9 29
 
1.3%
ValueCountFrequency (%)
125676 1
< 0.1%
40007 1
< 0.1%
16713 1
< 0.1%
12350 1
< 0.1%
10392 1
< 0.1%
10065 1
< 0.1%
7699 1
< 0.1%
7028 1
< 0.1%
7009 1
< 0.1%
6866 1
< 0.1%

2021-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct459
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.22849
Minimum0
Maximum153697
Zeros346
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:07.823985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q391
95-th percentile887.9
Maximum153697
Range153697
Interquartile range (IQR)89

Descriptive statistics

Standard deviation3514.2066
Coefficient of variation (CV)11.863162
Kurtosis1641.6039
Mean296.22849
Median Absolute Deviation (MAD)16
Skewness38.466809
Sum661182
Variance12349648
MonotonicityNot monotonic
2023-12-13T06:15:07.947381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 346
 
15.5%
1 143
 
6.4%
2 105
 
4.7%
3 77
 
3.4%
4 66
 
3.0%
5 61
 
2.7%
6 56
 
2.5%
7 48
 
2.2%
9 33
 
1.5%
10 32
 
1.4%
Other values (449) 1265
56.7%
ValueCountFrequency (%)
0 346
15.5%
1 143
6.4%
2 105
 
4.7%
3 77
 
3.4%
4 66
 
3.0%
5 61
 
2.7%
6 56
 
2.5%
7 48
 
2.2%
8 29
 
1.3%
9 33
 
1.5%
ValueCountFrequency (%)
153697 1
< 0.1%
45191 1
< 0.1%
17513 1
< 0.1%
16043 1
< 0.1%
14996 1
< 0.1%
13335 1
< 0.1%
10941 1
< 0.1%
10838 1
< 0.1%
9786 1
< 0.1%
9256 1
< 0.1%

2021-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct451
Distinct (%)20.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279.62903
Minimum0
Maximum143792
Zeros349
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:08.078273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median16
Q390
95-th percentile862.35
Maximum143792
Range143792
Interquartile range (IQR)88

Descriptive statistics

Standard deviation3290.7291
Coefficient of variation (CV)11.768196
Kurtosis1635.1516
Mean279.62903
Median Absolute Deviation (MAD)16
Skewness38.354912
Sum624132
Variance10828898
MonotonicityNot monotonic
2023-12-13T06:15:08.204933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 349
 
15.6%
1 150
 
6.7%
2 99
 
4.4%
3 78
 
3.5%
4 72
 
3.2%
5 55
 
2.5%
6 54
 
2.4%
7 53
 
2.4%
8 46
 
2.1%
10 37
 
1.7%
Other values (441) 1239
55.5%
ValueCountFrequency (%)
0 349
15.6%
1 150
6.7%
2 99
 
4.4%
3 78
 
3.5%
4 72
 
3.2%
5 55
 
2.5%
6 54
 
2.4%
7 53
 
2.4%
8 46
 
2.1%
9 23
 
1.0%
ValueCountFrequency (%)
143792 1
< 0.1%
41798 1
< 0.1%
17877 1
< 0.1%
16445 1
< 0.1%
14131 1
< 0.1%
12015 1
< 0.1%
9851 1
< 0.1%
9787 1
< 0.1%
9180 1
< 0.1%
9167 1
< 0.1%

2021-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct422
Distinct (%)18.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.22088
Minimum0
Maximum144299
Zeros357
Zeros (%)16.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:08.326727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13.5
Q375.25
95-th percentile850
Maximum144299
Range144299
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation3286.1781
Coefficient of variation (CV)12.161081
Kurtosis1666.8554
Mean270.22088
Median Absolute Deviation (MAD)13.5
Skewness38.837422
Sum603133
Variance10798967
MonotonicityNot monotonic
2023-12-13T06:15:08.454888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 357
 
16.0%
1 144
 
6.5%
2 103
 
4.6%
4 79
 
3.5%
3 79
 
3.5%
5 70
 
3.1%
6 56
 
2.5%
7 49
 
2.2%
9 40
 
1.8%
10 34
 
1.5%
Other values (412) 1221
54.7%
ValueCountFrequency (%)
0 357
16.0%
1 144
6.5%
2 103
 
4.6%
3 79
 
3.5%
4 79
 
3.5%
5 70
 
3.1%
6 56
 
2.5%
7 49
 
2.2%
8 33
 
1.5%
9 40
 
1.8%
ValueCountFrequency (%)
144299 1
< 0.1%
40924 1
< 0.1%
17680 1
< 0.1%
16482 1
< 0.1%
11826 1
< 0.1%
11641 1
< 0.1%
9674 1
< 0.1%
9206 1
< 0.1%
8870 1
< 0.1%
8814 1
< 0.1%

2021-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct423
Distinct (%)19.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean258.25582
Minimum0
Maximum136550
Zeros346
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:08.602071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median14
Q373
95-th percentile794.9
Maximum136550
Range136550
Interquartile range (IQR)71

Descriptive statistics

Standard deviation3115.794
Coefficient of variation (CV)12.064758
Kurtosis1654.7193
Mean258.25582
Median Absolute Deviation (MAD)14
Skewness38.668101
Sum576427
Variance9708172.2
MonotonicityNot monotonic
2023-12-13T06:15:08.792238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 346
 
15.5%
1 142
 
6.4%
2 115
 
5.2%
3 91
 
4.1%
5 64
 
2.9%
4 64
 
2.9%
6 56
 
2.5%
8 45
 
2.0%
9 42
 
1.9%
7 41
 
1.8%
Other values (413) 1226
54.9%
ValueCountFrequency (%)
0 346
15.5%
1 142
6.4%
2 115
 
5.2%
3 91
 
4.1%
4 64
 
2.9%
5 64
 
2.9%
6 56
 
2.5%
7 41
 
1.8%
8 45
 
2.0%
9 42
 
1.9%
ValueCountFrequency (%)
136550 1
< 0.1%
39632 1
< 0.1%
16093 1
< 0.1%
16074 1
< 0.1%
11059 1
< 0.1%
10101 1
< 0.1%
9446 1
< 0.1%
9003 1
< 0.1%
8895 1
< 0.1%
8626 1
< 0.1%

2021-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct407
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean248.6026
Minimum0
Maximum133736
Zeros355
Zeros (%)15.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:08.927358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q367
95-th percentile789.25
Maximum133736
Range133736
Interquartile range (IQR)65

Descriptive statistics

Standard deviation3048.6595
Coefficient of variation (CV)12.263184
Kurtosis1661.8978
Mean248.6026
Median Absolute Deviation (MAD)13
Skewness38.802603
Sum554881
Variance9294324.5
MonotonicityNot monotonic
2023-12-13T06:15:09.088650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
15.9%
1 174
 
7.8%
2 95
 
4.3%
3 95
 
4.3%
4 73
 
3.3%
5 73
 
3.3%
6 58
 
2.6%
9 39
 
1.7%
11 38
 
1.7%
12 31
 
1.4%
Other values (397) 1201
53.8%
ValueCountFrequency (%)
0 355
15.9%
1 174
7.8%
2 95
 
4.3%
3 95
 
4.3%
4 73
 
3.3%
5 73
 
3.3%
6 58
 
2.6%
7 30
 
1.3%
8 28
 
1.3%
9 39
 
1.7%
ValueCountFrequency (%)
133736 1
< 0.1%
39404 1
< 0.1%
15408 1
< 0.1%
14639 1
< 0.1%
10365 1
< 0.1%
9801 1
< 0.1%
8922 1
< 0.1%
8823 1
< 0.1%
8683 1
< 0.1%
8007 1
< 0.1%

2021-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct407
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean244.31407
Minimum0
Maximum133213
Zeros378
Zeros (%)16.9%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:09.241103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q363
95-th percentile762.25
Maximum133213
Range133213
Interquartile range (IQR)61

Descriptive statistics

Standard deviation3029.3344
Coefficient of variation (CV)12.399345
Kurtosis1677.402
Mean244.31407
Median Absolute Deviation (MAD)12
Skewness39.023897
Sum545309
Variance9176866.7
MonotonicityNot monotonic
2023-12-13T06:15:09.397689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 378
 
16.9%
1 144
 
6.5%
2 128
 
5.7%
4 88
 
3.9%
3 82
 
3.7%
5 66
 
3.0%
6 60
 
2.7%
7 43
 
1.9%
8 37
 
1.7%
10 35
 
1.6%
Other values (397) 1171
52.5%
ValueCountFrequency (%)
0 378
16.9%
1 144
 
6.5%
2 128
 
5.7%
3 82
 
3.7%
4 88
 
3.9%
5 66
 
3.0%
6 60
 
2.7%
7 43
 
1.9%
8 37
 
1.7%
9 23
 
1.0%
ValueCountFrequency (%)
133213 1
< 0.1%
38493 1
< 0.1%
15204 1
< 0.1%
13825 1
< 0.1%
9573 1
< 0.1%
9566 1
< 0.1%
9471 1
< 0.1%
9159 1
< 0.1%
7859 1
< 0.1%
7425 1
< 0.1%

2021-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct392
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean221.6353
Minimum0
Maximum121375
Zeros398
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:09.581436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11.75
median11
Q356
95-th percentile706.45
Maximum121375
Range121375
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation2757.7822
Coefficient of variation (CV)12.442883
Kurtosis1682.6354
Mean221.6353
Median Absolute Deviation (MAD)11
Skewness39.092031
Sum494690
Variance7605362.9
MonotonicityNot monotonic
2023-12-13T06:15:09.736106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 398
 
17.8%
1 160
 
7.2%
2 134
 
6.0%
3 93
 
4.2%
4 75
 
3.4%
5 54
 
2.4%
6 51
 
2.3%
7 46
 
2.1%
8 40
 
1.8%
9 33
 
1.5%
Other values (382) 1148
51.4%
ValueCountFrequency (%)
0 398
17.8%
1 160
7.2%
2 134
 
6.0%
3 93
 
4.2%
4 75
 
3.4%
5 54
 
2.4%
6 51
 
2.3%
7 46
 
2.1%
8 40
 
1.8%
9 33
 
1.5%
ValueCountFrequency (%)
121375 1
< 0.1%
34648 1
< 0.1%
13485 1
< 0.1%
12359 1
< 0.1%
10209 1
< 0.1%
9263 1
< 0.1%
8503 1
< 0.1%
7856 1
< 0.1%
7117 1
< 0.1%
6593 1
< 0.1%

2021-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct397
Distinct (%)17.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean218.08423
Minimum0
Maximum117102
Zeros397
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:09.958567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q359.25
95-th percentile684.75
Maximum117102
Range117102
Interquartile range (IQR)58.25

Descriptive statistics

Standard deviation2656.4323
Coefficient of variation (CV)12.180763
Kurtosis1691.2968
Mean218.08423
Median Absolute Deviation (MAD)11
Skewness39.166935
Sum486764
Variance7056632.6
MonotonicityNot monotonic
2023-12-13T06:15:10.106085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 397
 
17.8%
1 186
 
8.3%
2 112
 
5.0%
3 81
 
3.6%
5 67
 
3.0%
4 59
 
2.6%
7 55
 
2.5%
6 48
 
2.2%
9 40
 
1.8%
8 34
 
1.5%
Other values (387) 1153
51.7%
ValueCountFrequency (%)
0 397
17.8%
1 186
8.3%
2 112
 
5.0%
3 81
 
3.6%
4 59
 
2.6%
5 67
 
3.0%
6 48
 
2.2%
7 55
 
2.5%
8 34
 
1.5%
9 40
 
1.8%
ValueCountFrequency (%)
117102 1
< 0.1%
31824 1
< 0.1%
13034 1
< 0.1%
12018 1
< 0.1%
9173 1
< 0.1%
9083 1
< 0.1%
8885 1
< 0.1%
7963 1
< 0.1%
7852 1
< 0.1%
6805 1
< 0.1%

2021-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct419
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean220.58289
Minimum0
Maximum112825
Zeros379
Zeros (%)17.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:10.247368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median13
Q370
95-th percentile647.7
Maximum112825
Range112825
Interquartile range (IQR)68

Descriptive statistics

Standard deviation2562.4771
Coefficient of variation (CV)11.616845
Kurtosis1680.8778
Mean220.58289
Median Absolute Deviation (MAD)13
Skewness38.938059
Sum492341
Variance6566288.9
MonotonicityNot monotonic
2023-12-13T06:15:10.402818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 379
 
17.0%
1 152
 
6.8%
2 108
 
4.8%
3 76
 
3.4%
5 70
 
3.1%
4 67
 
3.0%
6 59
 
2.6%
7 48
 
2.2%
8 39
 
1.7%
11 32
 
1.4%
Other values (409) 1202
53.9%
ValueCountFrequency (%)
0 379
17.0%
1 152
6.8%
2 108
 
4.8%
3 76
 
3.4%
4 67
 
3.0%
5 70
 
3.1%
6 59
 
2.6%
7 48
 
2.2%
8 39
 
1.7%
9 32
 
1.4%
ValueCountFrequency (%)
112825 1
< 0.1%
28827 1
< 0.1%
14339 1
< 0.1%
11836 1
< 0.1%
10763 1
< 0.1%
8697 1
< 0.1%
8469 1
< 0.1%
7919 1
< 0.1%
7869 1
< 0.1%
6922 1
< 0.1%

2021-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct415
Distinct (%)18.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean215.84991
Minimum0
Maximum103394
Zeros301
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:10.557934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median15
Q381
95-th percentile608
Maximum103394
Range103394
Interquartile range (IQR)79

Descriptive statistics

Standard deviation2374.3388
Coefficient of variation (CV)10.999953
Kurtosis1609.1511
Mean215.84991
Median Absolute Deviation (MAD)15
Skewness37.845127
Sum481777
Variance5637484.6
MonotonicityNot monotonic
2023-12-13T06:15:10.726846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 301
 
13.5%
1 177
 
7.9%
2 118
 
5.3%
3 76
 
3.4%
4 71
 
3.2%
5 62
 
2.8%
6 60
 
2.7%
8 42
 
1.9%
7 42
 
1.9%
10 36
 
1.6%
Other values (405) 1247
55.9%
ValueCountFrequency (%)
0 301
13.5%
1 177
7.9%
2 118
 
5.3%
3 76
 
3.4%
4 71
 
3.2%
5 62
 
2.8%
6 60
 
2.7%
7 42
 
1.9%
8 42
 
1.9%
9 34
 
1.5%
ValueCountFrequency (%)
103394 1
< 0.1%
27354 1
< 0.1%
16104 1
< 0.1%
12777 1
< 0.1%
10870 1
< 0.1%
9084 1
< 0.1%
9059 1
< 0.1%
8506 1
< 0.1%
7677 1
< 0.1%
6090 1
< 0.1%

2022-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct368
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean160.82348
Minimum0
Maximum78742
Zeros393
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:11.295984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q358
95-th percentile457.05
Maximum78742
Range78742
Interquartile range (IQR)57

Descriptive statistics

Standard deviation1803.235
Coefficient of variation (CV)11.212511
Kurtosis1627.1902
Mean160.82348
Median Absolute Deviation (MAD)11
Skewness38.130153
Sum358958
Variance3251656.5
MonotonicityNot monotonic
2023-12-13T06:15:11.454396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
17.6%
1 167
 
7.5%
2 135
 
6.0%
3 100
 
4.5%
4 76
 
3.4%
5 58
 
2.6%
6 45
 
2.0%
10 39
 
1.7%
7 38
 
1.7%
8 31
 
1.4%
Other values (358) 1150
51.5%
ValueCountFrequency (%)
0 393
17.6%
1 167
7.5%
2 135
 
6.0%
3 100
 
4.5%
4 76
 
3.4%
5 58
 
2.6%
6 45
 
2.0%
7 38
 
1.7%
8 31
 
1.4%
9 29
 
1.3%
ValueCountFrequency (%)
78742 1
< 0.1%
20918 1
< 0.1%
11431 1
< 0.1%
9206 1
< 0.1%
8430 1
< 0.1%
6543 1
< 0.1%
6301 1
< 0.1%
6291 1
< 0.1%
6068 1
< 0.1%
4793 1
< 0.1%

2022-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct362
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.53495
Minimum0
Maximum76428
Zeros430
Zeros (%)19.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:11.619851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q359
95-th percentile466.4
Maximum76428
Range76428
Interquartile range (IQR)58

Descriptive statistics

Standard deviation1749.1529
Coefficient of variation (CV)11.103269
Kurtosis1630.3247
Mean157.53495
Median Absolute Deviation (MAD)10
Skewness38.151777
Sum351618
Variance3059535.8
MonotonicityNot monotonic
2023-12-13T06:15:11.778621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 430
 
19.3%
1 180
 
8.1%
2 109
 
4.9%
3 83
 
3.7%
4 81
 
3.6%
5 60
 
2.7%
6 54
 
2.4%
7 45
 
2.0%
8 37
 
1.7%
10 31
 
1.4%
Other values (352) 1122
50.3%
ValueCountFrequency (%)
0 430
19.3%
1 180
8.1%
2 109
 
4.9%
3 83
 
3.7%
4 81
 
3.6%
5 60
 
2.7%
6 54
 
2.4%
7 45
 
2.0%
8 37
 
1.7%
9 23
 
1.0%
ValueCountFrequency (%)
76428 1
< 0.1%
19740 1
< 0.1%
11100 1
< 0.1%
9246 1
< 0.1%
7778 1
< 0.1%
6716 1
< 0.1%
6203 1
< 0.1%
6060 1
< 0.1%
5873 1
< 0.1%
4918 1
< 0.1%

2022-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct389
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean188.99059
Minimum0
Maximum91719
Zeros393
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:11.970471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median11
Q370
95-th percentile545.7
Maximum91719
Range91719
Interquartile range (IQR)69

Descriptive statistics

Standard deviation2099.205
Coefficient of variation (CV)11.107458
Kurtosis1629.982
Mean188.99059
Median Absolute Deviation (MAD)11
Skewness38.143379
Sum421827
Variance4406661.6
MonotonicityNot monotonic
2023-12-13T06:15:12.129357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
17.6%
1 168
 
7.5%
2 124
 
5.6%
3 84
 
3.8%
4 73
 
3.3%
5 58
 
2.6%
6 55
 
2.5%
8 51
 
2.3%
7 44
 
2.0%
9 32
 
1.4%
Other values (379) 1150
51.5%
ValueCountFrequency (%)
0 393
17.6%
1 168
7.5%
2 124
 
5.6%
3 84
 
3.8%
4 73
 
3.3%
5 58
 
2.6%
6 55
 
2.5%
7 44
 
2.0%
8 51
 
2.3%
9 32
 
1.4%
ValueCountFrequency (%)
91719 1
< 0.1%
23689 1
< 0.1%
13089 1
< 0.1%
11105 1
< 0.1%
8640 1
< 0.1%
8577 1
< 0.1%
7554 1
< 0.1%
7389 1
< 0.1%
7358 1
< 0.1%
5911 1
< 0.1%

2022-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct389
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean197.86962
Minimum0
Maximum99488
Zeros393
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:12.265644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median11
Q369
95-th percentile597.35
Maximum99488
Range99488
Interquartile range (IQR)67

Descriptive statistics

Standard deviation2271.6404
Coefficient of variation (CV)11.480491
Kurtosis1646.9197
Mean197.86962
Median Absolute Deviation (MAD)11
Skewness38.451005
Sum441645
Variance5160350
MonotonicityNot monotonic
2023-12-13T06:15:12.441204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 393
 
17.6%
2 148
 
6.6%
1 132
 
5.9%
3 99
 
4.4%
5 78
 
3.5%
4 61
 
2.7%
7 47
 
2.1%
6 43
 
1.9%
8 35
 
1.6%
10 32
 
1.4%
Other values (379) 1164
52.2%
ValueCountFrequency (%)
0 393
17.6%
1 132
 
5.9%
2 148
 
6.6%
3 99
 
4.4%
4 61
 
2.7%
5 78
 
3.5%
6 43
 
1.9%
7 47
 
2.1%
8 35
 
1.6%
9 26
 
1.2%
ValueCountFrequency (%)
99488 1
< 0.1%
26789 1
< 0.1%
13090 1
< 0.1%
10582 1
< 0.1%
10509 1
< 0.1%
7995 1
< 0.1%
7725 1
< 0.1%
7503 1
< 0.1%
7318 1
< 0.1%
6134 1
< 0.1%

2022-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct403
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202.88082
Minimum0
Maximum104846
Zeros385
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:12.581034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median12
Q364
95-th percentile616
Maximum104846
Range104846
Interquartile range (IQR)62

Descriptive statistics

Standard deviation2385.8093
Coefficient of variation (CV)11.759659
Kurtosis1669.2704
Mean202.88082
Median Absolute Deviation (MAD)12
Skewness38.791985
Sum452830
Variance5692086.2
MonotonicityNot monotonic
2023-12-13T06:15:12.740805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 385
 
17.2%
1 164
 
7.3%
2 118
 
5.3%
3 97
 
4.3%
4 79
 
3.5%
5 70
 
3.1%
6 53
 
2.4%
8 42
 
1.9%
7 39
 
1.7%
9 27
 
1.2%
Other values (393) 1158
51.9%
ValueCountFrequency (%)
0 385
17.2%
1 164
7.3%
2 118
 
5.3%
3 97
 
4.3%
4 79
 
3.5%
5 70
 
3.1%
6 53
 
2.4%
7 39
 
1.7%
8 42
 
1.9%
9 27
 
1.2%
ValueCountFrequency (%)
104846 1
< 0.1%
27702 1
< 0.1%
13435 1
< 0.1%
11987 1
< 0.1%
9679 1
< 0.1%
8241 1
< 0.1%
7486 1
< 0.1%
7300 1
< 0.1%
6826 1
< 0.1%
6586 1
< 0.1%

2022-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct371
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean173.45475
Minimum0
Maximum88634
Zeros390
Zeros (%)17.5%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:12.873383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10.5
Q357
95-th percentile536.35
Maximum88634
Range88634
Interquartile range (IQR)56

Descriptive statistics

Standard deviation2021.218
Coefficient of variation (CV)11.652711
Kurtosis1655.5145
Mean173.45475
Median Absolute Deviation (MAD)10.5
Skewness38.592783
Sum387151
Variance4085322.3
MonotonicityNot monotonic
2023-12-13T06:15:12.998230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 390
 
17.5%
1 170
 
7.6%
2 133
 
6.0%
3 99
 
4.4%
4 70
 
3.1%
5 64
 
2.9%
7 46
 
2.1%
6 45
 
2.0%
8 40
 
1.8%
10 31
 
1.4%
Other values (361) 1144
51.3%
ValueCountFrequency (%)
0 390
17.5%
1 170
7.6%
2 133
 
6.0%
3 99
 
4.4%
4 70
 
3.1%
5 64
 
2.9%
6 45
 
2.0%
7 46
 
2.1%
8 40
 
1.8%
9 28
 
1.3%
ValueCountFrequency (%)
88634 1
< 0.1%
23775 1
< 0.1%
11953 1
< 0.1%
10556 1
< 0.1%
8256 1
< 0.1%
6792 1
< 0.1%
6422 1
< 0.1%
6374 1
< 0.1%
5716 1
< 0.1%
5601 1
< 0.1%

2022-07
Real number (ℝ)

SKEWED  ZEROS 

Distinct348
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean144.92608
Minimum0
Maximum73684
Zeros428
Zeros (%)19.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:13.122689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median9
Q348
95-th percentile441.9
Maximum73684
Range73684
Interquartile range (IQR)47

Descriptive statistics

Standard deviation1681.8365
Coefficient of variation (CV)11.604789
Kurtosis1649.781
Mean144.92608
Median Absolute Deviation (MAD)9
Skewness38.511856
Sum323475
Variance2828574.1
MonotonicityNot monotonic
2023-12-13T06:15:13.268401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 428
 
19.2%
1 167
 
7.5%
2 136
 
6.1%
3 97
 
4.3%
4 66
 
3.0%
5 63
 
2.8%
7 52
 
2.3%
6 51
 
2.3%
8 41
 
1.8%
12 31
 
1.4%
Other values (338) 1100
49.3%
ValueCountFrequency (%)
0 428
19.2%
1 167
 
7.5%
2 136
 
6.1%
3 97
 
4.3%
4 66
 
3.0%
5 63
 
2.8%
6 51
 
2.3%
7 52
 
2.3%
8 41
 
1.8%
9 30
 
1.3%
ValueCountFrequency (%)
73684 1
< 0.1%
20001 1
< 0.1%
10027 1
< 0.1%
8211 1
< 0.1%
7052 1
< 0.1%
6159 1
< 0.1%
5819 1
< 0.1%
5270 1
< 0.1%
4985 1
< 0.1%
4317 1
< 0.1%

2022-08
Real number (ℝ)

SKEWED  ZEROS 

Distinct339
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean133.08737
Minimum0
Maximum66487
Zeros482
Zeros (%)21.6%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:13.400722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q347
95-th percentile375.35
Maximum66487
Range66487
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1516.2756
Coefficient of variation (CV)11.393085
Kurtosis1653.661
Mean133.08737
Median Absolute Deviation (MAD)8
Skewness38.520915
Sum297051
Variance2299091.7
MonotonicityNot monotonic
2023-12-13T06:15:13.552984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 482
21.6%
1 171
 
7.7%
2 116
 
5.2%
3 85
 
3.8%
4 67
 
3.0%
5 64
 
2.9%
6 54
 
2.4%
7 44
 
2.0%
8 37
 
1.7%
9 33
 
1.5%
Other values (329) 1079
48.3%
ValueCountFrequency (%)
0 482
21.6%
1 171
 
7.7%
2 116
 
5.2%
3 85
 
3.8%
4 67
 
3.0%
5 64
 
2.9%
6 54
 
2.4%
7 44
 
2.0%
8 37
 
1.7%
9 33
 
1.5%
ValueCountFrequency (%)
66487 1
< 0.1%
17138 1
< 0.1%
9573 1
< 0.1%
6822 1
< 0.1%
6676 1
< 0.1%
5584 1
< 0.1%
5114 1
< 0.1%
4878 1
< 0.1%
4866 1
< 0.1%
4208 1
< 0.1%

2022-09
Real number (ℝ)

SKEWED  ZEROS 

Distinct320
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119.931
Minimum0
Maximum60759
Zeros472
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:13.711360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q341
95-th percentile355
Maximum60759
Range60759
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1381.845
Coefficient of variation (CV)11.522
Kurtosis1671.6923
Mean119.931
Median Absolute Deviation (MAD)7
Skewness38.796964
Sum267686
Variance1909495.6
MonotonicityNot monotonic
2023-12-13T06:15:13.863556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 472
21.1%
1 185
 
8.3%
2 135
 
6.0%
3 109
 
4.9%
5 69
 
3.1%
4 68
 
3.0%
6 47
 
2.1%
7 41
 
1.8%
9 30
 
1.3%
11 29
 
1.3%
Other values (310) 1047
46.9%
ValueCountFrequency (%)
0 472
21.1%
1 185
 
8.3%
2 135
 
6.0%
3 109
 
4.9%
4 68
 
3.0%
5 69
 
3.1%
6 47
 
2.1%
7 41
 
1.8%
8 28
 
1.3%
9 30
 
1.3%
ValueCountFrequency (%)
60759 1
< 0.1%
15510 1
< 0.1%
8277 1
< 0.1%
6224 1
< 0.1%
6114 1
< 0.1%
4819 1
< 0.1%
4439 1
< 0.1%
4289 1
< 0.1%
4215 1
< 0.1%
3738 1
< 0.1%

2022-10
Real number (ℝ)

SKEWED  ZEROS 

Distinct323
Distinct (%)14.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean120.4422
Minimum0
Maximum61141
Zeros490
Zeros (%)22.0%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:14.004912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q341
95-th percentile350.45
Maximum61141
Range61141
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1392.2179
Coefficient of variation (CV)11.559219
Kurtosis1662.3031
Mean120.4422
Median Absolute Deviation (MAD)7
Skewness38.599903
Sum268827
Variance1938270.6
MonotonicityNot monotonic
2023-12-13T06:15:14.187821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 490
22.0%
1 191
 
8.6%
2 130
 
5.8%
3 101
 
4.5%
4 78
 
3.5%
5 51
 
2.3%
6 49
 
2.2%
7 46
 
2.1%
9 31
 
1.4%
8 29
 
1.3%
Other values (313) 1036
46.4%
ValueCountFrequency (%)
0 490
22.0%
1 191
 
8.6%
2 130
 
5.8%
3 101
 
4.5%
4 78
 
3.5%
5 51
 
2.3%
6 49
 
2.2%
7 46
 
2.1%
8 29
 
1.3%
9 31
 
1.4%
ValueCountFrequency (%)
61141 1
< 0.1%
14572 1
< 0.1%
8184 1
< 0.1%
8029 1
< 0.1%
6185 1
< 0.1%
5248 1
< 0.1%
5005 1
< 0.1%
4468 1
< 0.1%
4292 1
< 0.1%
4169 1
< 0.1%

2022-11
Real number (ℝ)

SKEWED  ZEROS 

Distinct326
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115.63038
Minimum0
Maximum56466
Zeros510
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:14.339190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q343
95-th percentile338
Maximum56466
Range56466
Interquartile range (IQR)42

Descriptive statistics

Standard deviation1293.0903
Coefficient of variation (CV)11.182964
Kurtosis1627.1024
Mean115.63038
Median Absolute Deviation (MAD)7
Skewness38.120814
Sum258087
Variance1672082.5
MonotonicityNot monotonic
2023-12-13T06:15:14.472752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 510
22.8%
1 184
 
8.2%
2 137
 
6.1%
3 87
 
3.9%
4 74
 
3.3%
5 52
 
2.3%
6 44
 
2.0%
7 41
 
1.8%
8 30
 
1.3%
10 27
 
1.2%
Other values (316) 1046
46.9%
ValueCountFrequency (%)
0 510
22.8%
1 184
 
8.2%
2 137
 
6.1%
3 87
 
3.9%
4 74
 
3.3%
5 52
 
2.3%
6 44
 
2.0%
7 41
 
1.8%
8 30
 
1.3%
9 21
 
0.9%
ValueCountFrequency (%)
56466 1
< 0.1%
14975 1
< 0.1%
8222 1
< 0.1%
6501 1
< 0.1%
5058 1
< 0.1%
4867 1
< 0.1%
4692 1
< 0.1%
4630 1
< 0.1%
4498 1
< 0.1%
3597 1
< 0.1%

2022-12
Real number (ℝ)

SKEWED  ZEROS 

Distinct315
Distinct (%)14.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean112.14337
Minimum0
Maximum54702
Zeros473
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:14.614819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q342
95-th percentile320.45
Maximum54702
Range54702
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1250.9618
Coefficient of variation (CV)11.155023
Kurtosis1635.4606
Mean112.14337
Median Absolute Deviation (MAD)7
Skewness38.234635
Sum250304
Variance1564905.5
MonotonicityNot monotonic
2023-12-13T06:15:14.751501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 473
21.2%
1 197
 
8.8%
2 132
 
5.9%
3 103
 
4.6%
4 79
 
3.5%
5 57
 
2.6%
6 48
 
2.2%
7 40
 
1.8%
9 31
 
1.4%
8 29
 
1.3%
Other values (305) 1043
46.7%
ValueCountFrequency (%)
0 473
21.2%
1 197
8.8%
2 132
 
5.9%
3 103
 
4.6%
4 79
 
3.5%
5 57
 
2.6%
6 48
 
2.2%
7 40
 
1.8%
8 29
 
1.3%
9 31
 
1.4%
ValueCountFrequency (%)
54702 1
< 0.1%
14178 1
< 0.1%
8026 1
< 0.1%
6322 1
< 0.1%
4931 1
< 0.1%
4852 1
< 0.1%
4659 1
< 0.1%
4447 1
< 0.1%
3811 1
< 0.1%
3535 1
< 0.1%

2023-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct297
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.508513
Minimum0
Maximum46027
Zeros541
Zeros (%)24.2%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:14.889007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median6
Q332.25
95-th percentile269.9
Maximum46027
Range46027
Interquartile range (IQR)31.25

Descriptive statistics

Standard deviation1048.6303
Coefficient of variation (CV)11.3355
Kurtosis1659.7713
Mean92.508513
Median Absolute Deviation (MAD)6
Skewness38.599084
Sum206479
Variance1099625.4
MonotonicityNot monotonic
2023-12-13T06:15:15.026438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 541
24.2%
1 227
 
10.2%
2 129
 
5.8%
3 104
 
4.7%
4 53
 
2.4%
6 49
 
2.2%
5 47
 
2.1%
7 37
 
1.7%
8 33
 
1.5%
9 30
 
1.3%
Other values (287) 982
44.0%
ValueCountFrequency (%)
0 541
24.2%
1 227
10.2%
2 129
 
5.8%
3 104
 
4.7%
4 53
 
2.4%
5 47
 
2.1%
6 49
 
2.2%
7 37
 
1.7%
8 33
 
1.5%
9 30
 
1.3%
ValueCountFrequency (%)
46027 1
< 0.1%
11762 1
< 0.1%
5891 1
< 0.1%
5004 1
< 0.1%
4488 1
< 0.1%
3983 1
< 0.1%
3760 1
< 0.1%
3517 1
< 0.1%
3516 1
< 0.1%
3020 1
< 0.1%

2023-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct321
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.82482
Minimum0
Maximum63409
Zeros532
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:15.145961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q344
95-th percentile403.45
Maximum63409
Range63409
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1442.5341
Coefficient of variation (CV)11.556468
Kurtosis1670.7968
Mean124.82482
Median Absolute Deviation (MAD)7
Skewness38.809273
Sum278609
Variance2080904.6
MonotonicityNot monotonic
2023-12-13T06:15:15.283221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 532
23.8%
1 169
 
7.6%
2 140
 
6.3%
3 102
 
4.6%
4 68
 
3.0%
5 56
 
2.5%
6 35
 
1.6%
9 34
 
1.5%
7 32
 
1.4%
8 29
 
1.3%
Other values (311) 1035
46.4%
ValueCountFrequency (%)
0 532
23.8%
1 169
 
7.6%
2 140
 
6.3%
3 102
 
4.6%
4 68
 
3.0%
5 56
 
2.5%
6 35
 
1.6%
7 32
 
1.4%
8 29
 
1.3%
9 34
 
1.5%
ValueCountFrequency (%)
63409 1
< 0.1%
16906 1
< 0.1%
7108 1
< 0.1%
6442 1
< 0.1%
5996 1
< 0.1%
5638 1
< 0.1%
4677 1
< 0.1%
4620 1
< 0.1%
4203 1
< 0.1%
4037 1
< 0.1%

2023-03
Real number (ℝ)

SKEWED  ZEROS 

Distinct350
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.24955
Minimum0
Maximum80309
Zeros510
Zeros (%)22.8%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:15.859401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q351
95-th percentile487.95
Maximum80309
Range80309
Interquartile range (IQR)50

Descriptive statistics

Standard deviation1824.1578
Coefficient of variation (CV)11.749843
Kurtosis1681.4972
Mean155.24955
Median Absolute Deviation (MAD)8
Skewness38.985348
Sum346517
Variance3327551.8
MonotonicityNot monotonic
2023-12-13T06:15:16.027778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 510
22.8%
1 175
 
7.8%
2 123
 
5.5%
3 79
 
3.5%
4 64
 
2.9%
5 61
 
2.7%
6 56
 
2.5%
7 41
 
1.8%
8 37
 
1.7%
12 25
 
1.1%
Other values (340) 1061
47.5%
ValueCountFrequency (%)
0 510
22.8%
1 175
 
7.8%
2 123
 
5.5%
3 79
 
3.5%
4 64
 
2.9%
5 61
 
2.7%
6 56
 
2.5%
7 41
 
1.8%
8 37
 
1.7%
9 21
 
0.9%
ValueCountFrequency (%)
80309 1
< 0.1%
21439 1
< 0.1%
8807 1
< 0.1%
8243 1
< 0.1%
7898 1
< 0.1%
6219 1
< 0.1%
5869 1
< 0.1%
5611 1
< 0.1%
5210 1
< 0.1%
5050 1
< 0.1%

2023-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct343
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean142.99238
Minimum0
Maximum73424
Zeros501
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:16.206481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median7
Q347
95-th percentile442.7
Maximum73424
Range73424
Interquartile range (IQR)46

Descriptive statistics

Standard deviation1671.3762
Coefficient of variation (CV)11.688568
Kurtosis1667.9772
Mean142.99238
Median Absolute Deviation (MAD)7
Skewness38.80102
Sum319159
Variance2793498.5
MonotonicityNot monotonic
2023-12-13T06:15:16.372375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 501
22.4%
1 185
 
8.3%
2 134
 
6.0%
3 90
 
4.0%
4 70
 
3.1%
6 49
 
2.2%
5 48
 
2.2%
7 45
 
2.0%
11 27
 
1.2%
8 25
 
1.1%
Other values (333) 1058
47.4%
ValueCountFrequency (%)
0 501
22.4%
1 185
 
8.3%
2 134
 
6.0%
3 90
 
4.0%
4 70
 
3.1%
5 48
 
2.2%
6 49
 
2.2%
7 45
 
2.0%
8 25
 
1.1%
9 22
 
1.0%
ValueCountFrequency (%)
73424 1
< 0.1%
20196 1
< 0.1%
8303 1
< 0.1%
7226 1
< 0.1%
7118 1
< 0.1%
5972 1
< 0.1%
5434 1
< 0.1%
5003 1
< 0.1%
4924 1
< 0.1%
4558 1
< 0.1%

2023-05
Real number (ℝ)

SKEWED  ZEROS 

Distinct344
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean153.34722
Minimum0
Maximum81976
Zeros470
Zeros (%)21.1%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:16.524423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q344
95-th percentile496.35
Maximum81976
Range81976
Interquartile range (IQR)43

Descriptive statistics

Standard deviation1858.8637
Coefficient of variation (CV)12.121926
Kurtosis1694.3279
Mean153.34722
Median Absolute Deviation (MAD)8
Skewness39.225473
Sum342271
Variance3455374.4
MonotonicityNot monotonic
2023-12-13T06:15:16.664136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 470
21.1%
1 179
 
8.0%
2 119
 
5.3%
3 104
 
4.7%
4 77
 
3.4%
5 58
 
2.6%
7 52
 
2.3%
6 46
 
2.1%
9 31
 
1.4%
8 30
 
1.3%
Other values (334) 1066
47.8%
ValueCountFrequency (%)
0 470
21.1%
1 179
 
8.0%
2 119
 
5.3%
3 104
 
4.7%
4 77
 
3.4%
5 58
 
2.6%
6 46
 
2.1%
7 52
 
2.3%
8 30
 
1.3%
9 31
 
1.4%
ValueCountFrequency (%)
81976 1
< 0.1%
22559 1
< 0.1%
8683 1
< 0.1%
8349 1
< 0.1%
6557 1
< 0.1%
5855 1
< 0.1%
5598 1
< 0.1%
5173 1
< 0.1%
5036 1
< 0.1%
4670 1
< 0.1%

2023-06
Real number (ℝ)

SKEWED  ZEROS 

Distinct345
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147.5672
Minimum0
Maximum79307
Zeros476
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size19.7 KiB
2023-12-13T06:15:16.825866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median8
Q341
95-th percentile498.7
Maximum79307
Range79307
Interquartile range (IQR)40

Descriptive statistics

Standard deviation1799.827
Coefficient of variation (CV)12.19666
Kurtosis1689.6093
Mean147.5672
Median Absolute Deviation (MAD)8
Skewness39.179105
Sum329370
Variance3239377.1
MonotonicityNot monotonic
2023-12-13T06:15:17.011773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 476
21.3%
1 196
 
8.8%
3 108
 
4.8%
2 100
 
4.5%
5 65
 
2.9%
4 63
 
2.8%
6 46
 
2.1%
7 45
 
2.0%
8 42
 
1.9%
9 33
 
1.5%
Other values (335) 1058
47.4%
ValueCountFrequency (%)
0 476
21.3%
1 196
8.8%
2 100
 
4.5%
3 108
 
4.8%
4 63
 
2.8%
5 65
 
2.9%
6 46
 
2.1%
7 45
 
2.0%
8 42
 
1.9%
9 33
 
1.5%
ValueCountFrequency (%)
79307 1
< 0.1%
22251 1
< 0.1%
9007 1
< 0.1%
8238 1
< 0.1%
5999 1
< 0.1%
5458 1
< 0.1%
4968 1
< 0.1%
4818 1
< 0.1%
4546 1
< 0.1%
4538 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㎡이하86364713398815594581935848628610461198558939971182931287901597381372031529341475771089381173641818841893911228631188601279511581591912961319261256761536971437921442991365501337361332131213751171021128251033947874276428917199948810484688634736846648760759611415646654702460276340980309734248197679307
1전국_331~660㎡1233692771212712643120281029311473983588531089510556118521056911776125381162711772139641472111599122111189613521162431278712350175131787716482160931463913825123591303414339161041143111100130891309013435119531002795738277818482228026589171088807830383498238
2전국_661~1,000㎡675251567111708264885459644655034687570758506836587464077024656463177355762861056351638175549423728770099786978788148626800774256593680578699059630162037389731873006422527051144439429246304447351742035050492446704473
3전국_1,001~2,000㎡930377311008010109932475688294713462557827823196338416947610640925089941011610079825786088517104591337810641103921499614131116411105910365947185039083107631277792069246111051050996798256705266766114618565016322500464427898711865575999
4전국_2,001~5,000㎡7094609979367301651052715902504645025613622871666048754683797144625467566574563458376012759397387778769910941985176567709683564985738624179199084654367168577750365865716498548784215446850584659398356386219597250364538
5전국_5,001~10,000㎡132510271401139112921041120510619441078114013211117128514801245107413331290108711151141143318501315130617861709146915891385134312161295157619011295130014861460129911841098101388794895196574093910651046991972
6전국_10,001~33,000㎡8817168889499828578968366838077809196347799188628519109407617567449321116874766110611611026108294798987489510671217876835878908852888800716697624598660583602695647713643
7전국_33,000㎡초과362273310378427338296300264276297374251299308299365440335299309248346431233273341402398447378381317286355489267328332302319349318254246295258311226221217230334335
8서울_330㎡이하86916744897099731124911596161991683615031180042078627291207062077820534123931310223478313651861114277139681356321055162431671316043164451768016074154081520413485120181183610870843077788640105821198710556821168226224524844984931448859968243722686839007
9서울_331~660㎡2681301401431231141681361421531721631621701841451331291992111901281921961461882312202111671891471211401671871331131081111981121048676545439273161347480
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㎡105913492497426297648286253485644710757714379876106227117210246
2223제주 제주시_33,000㎡초과001001203003020103000001000000314120000005410100012000
2224제주 서귀포시_330㎡이하420353420477383322435331594505322379392347382329338593690368353341505582516494488526679569530428448405496564447388474541618494383395330336377273282277392778381418
2225제주 서귀포시_331~660㎡1127311910811961108916873518480768993869195857478100102111105119161143160136121103107139141827911212512513210592100869674587080858078
2226제주 서귀포시_661~1,000㎡323840403835533036393434252339463540354533383565525538467567575434526162353757515371323528375038402539473139
2227제주 서귀포시_1,001~2,000㎡554850496442695036435549484962484149575652464359607762805189717650476093593676698076405641415730334334433852
2228제주 서귀포시_2,001~5,000㎡755759536145767234465747395365445541583846484274447980727263677166457164604976866058595345325937325450284060
2229제주 서귀포시_5,001~10,000㎡20211320211043221019158101518271212618416172413212115112018181318261717102615261214128869112527141015
2230제주 서귀포시_10,001~33,000㎡6311511157287473196450525938851512725488251524721322105217
2231제주 서귀포시_33,000㎡초과110601010102000400000001011100101100000000011000110000