Overview

Dataset statistics

Number of variables63
Number of observations1698
Missing cells1452
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory938.7 KiB
Average record size in memory566.1 B

Variable types

Text1
Numeric62

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 지목별(면적) 데이터입니다.-(단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068057/fileData.do

Alerts

2019-01 has 24 (1.4%) missing valuesMissing
2019-02 has 24 (1.4%) missing valuesMissing
2019-03 has 24 (1.4%) missing valuesMissing
2019-04 has 24 (1.4%) missing valuesMissing
2019-05 has 24 (1.4%) missing valuesMissing
2019-06 has 24 (1.4%) missing valuesMissing
2019-07 has 24 (1.4%) missing valuesMissing
2019-08 has 24 (1.4%) missing valuesMissing
2019-09 has 24 (1.4%) missing valuesMissing
2019-10 has 24 (1.4%) missing valuesMissing
2019-11 has 24 (1.4%) missing valuesMissing
2019-12 has 24 (1.4%) missing valuesMissing
2020-01 has 24 (1.4%) missing valuesMissing
2020-02 has 24 (1.4%) missing valuesMissing
2020-03 has 24 (1.4%) missing valuesMissing
2020-04 has 24 (1.4%) missing valuesMissing
2020-05 has 24 (1.4%) missing valuesMissing
2020-06 has 24 (1.4%) missing valuesMissing
2020-07 has 24 (1.4%) missing valuesMissing
2020-08 has 24 (1.4%) missing valuesMissing
2020-09 has 24 (1.4%) missing valuesMissing
2020-10 has 24 (1.4%) missing valuesMissing
2020-11 has 24 (1.4%) missing valuesMissing
2020-12 has 24 (1.4%) missing valuesMissing
2021-01 has 24 (1.4%) missing valuesMissing
2021-02 has 24 (1.4%) missing valuesMissing
2021-03 has 24 (1.4%) missing valuesMissing
2021-04 has 24 (1.4%) missing valuesMissing
2021-05 has 24 (1.4%) missing valuesMissing
2021-06 has 24 (1.4%) missing valuesMissing
2021-07 has 24 (1.4%) missing valuesMissing
2021-08 has 24 (1.4%) missing valuesMissing
2021-09 has 24 (1.4%) missing valuesMissing
2021-10 has 24 (1.4%) missing valuesMissing
2021-11 has 24 (1.4%) missing valuesMissing
2021-12 has 24 (1.4%) missing valuesMissing
2022-01 has 24 (1.4%) missing valuesMissing
2022-02 has 24 (1.4%) missing valuesMissing
2022-03 has 24 (1.4%) missing valuesMissing
2022-04 has 24 (1.4%) missing valuesMissing
2022-05 has 24 (1.4%) missing valuesMissing
2022-06 has 24 (1.4%) missing valuesMissing
2022-07 has 24 (1.4%) missing valuesMissing
2022-08 has 24 (1.4%) missing valuesMissing
2022-09 has 24 (1.4%) missing valuesMissing
2022-10 has 24 (1.4%) missing valuesMissing
2022-11 has 24 (1.4%) missing valuesMissing
2022-12 has 24 (1.4%) missing valuesMissing
2023-01 has 24 (1.4%) missing valuesMissing
2023-02 has 24 (1.4%) missing valuesMissing
2023-03 has 24 (1.4%) missing valuesMissing
2023-04 has 24 (1.4%) missing valuesMissing
2023-05 has 24 (1.4%) missing valuesMissing
2023-06 has 24 (1.4%) missing valuesMissing
2023-07 has 24 (1.4%) missing valuesMissing
2023-08 has 24 (1.4%) missing valuesMissing
2023-09 has 24 (1.4%) missing valuesMissing
2023-10 has 24 (1.4%) missing valuesMissing
2023-11 has 24 (1.4%) missing valuesMissing
2023-12 has 24 (1.4%) missing valuesMissing
2019-01 is highly skewed (γ1 = 24.91646284)Skewed
2019-02 is highly skewed (γ1 = 23.59421081)Skewed
2019-03 is highly skewed (γ1 = 23.64337787)Skewed
2019-04 is highly skewed (γ1 = 26.17495625)Skewed
2019-05 is highly skewed (γ1 = 27.25795205)Skewed
2019-06 is highly skewed (γ1 = 26.66092782)Skewed
2019-07 is highly skewed (γ1 = 25.94082545)Skewed
2019-08 is highly skewed (γ1 = 26.75673707)Skewed
2019-09 is highly skewed (γ1 = 26.2499903)Skewed
2019-10 is highly skewed (γ1 = 24.84659483)Skewed
2019-11 is highly skewed (γ1 = 22.83146057)Skewed
2019-12 is highly skewed (γ1 = 23.20616653)Skewed
2020-01 is highly skewed (γ1 = 21.70675507)Skewed
2020-02 is highly skewed (γ1 = 22.75381031)Skewed
2020-03 is highly skewed (γ1 = 22.56052697)Skewed
2020-04 is highly skewed (γ1 = 20.31513034)Skewed
2020-05 is highly skewed (γ1 = 25.83495853)Skewed
2020-06 is highly skewed (γ1 = 25.80067639)Skewed
2020-07 is highly skewed (γ1 = 23.94390233)Skewed
2020-08 is highly skewed (γ1 = 23.70102293)Skewed
2020-09 is highly skewed (γ1 = 25.56391192)Skewed
2020-10 is highly skewed (γ1 = 23.4947682)Skewed
2020-11 is highly skewed (γ1 = 23.01517632)Skewed
2020-12 is highly skewed (γ1 = 22.40382741)Skewed
2021-01 is highly skewed (γ1 = 20.93973591)Skewed
2021-02 is highly skewed (γ1 = 21.46693657)Skewed
2021-03 is highly skewed (γ1 = 21.67140777)Skewed
2021-04 is highly skewed (γ1 = 22.68096525)Skewed
2021-05 is highly skewed (γ1 = 24.3402457)Skewed
2021-06 is highly skewed (γ1 = 24.62453355)Skewed
2021-07 is highly skewed (γ1 = 24.48214718)Skewed
2021-08 is highly skewed (γ1 = 25.12292461)Skewed
2021-09 is highly skewed (γ1 = 25.62185985)Skewed
2021-10 is highly skewed (γ1 = 24.70344327)Skewed
2021-11 is highly skewed (γ1 = 23.19954007)Skewed
2021-12 is highly skewed (γ1 = 24.65729966)Skewed
2022-01 is highly skewed (γ1 = 23.51607788)Skewed
2022-02 is highly skewed (γ1 = 23.19454808)Skewed
2022-03 is highly skewed (γ1 = 22.79181624)Skewed
2022-04 is highly skewed (γ1 = 22.88919789)Skewed
2022-05 is highly skewed (γ1 = 24.94295694)Skewed
2022-06 is highly skewed (γ1 = 26.77128285)Skewed
2022-07 is highly skewed (γ1 = 26.84759388)Skewed
2022-08 is highly skewed (γ1 = 26.36147214)Skewed
2022-09 is highly skewed (γ1 = 27.42092609)Skewed
2022-10 is highly skewed (γ1 = 26.96631915)Skewed
2022-11 is highly skewed (γ1 = 25.54446871)Skewed
2022-12 is highly skewed (γ1 = 27.87699931)Skewed
2023-01 is highly skewed (γ1 = 24.7454615)Skewed
2023-02 is highly skewed (γ1 = 24.18332037)Skewed
2023-03 is highly skewed (γ1 = 22.56455383)Skewed
2023-04 is highly skewed (γ1 = 22.43872547)Skewed
2023-05 is highly skewed (γ1 = 27.0249823)Skewed
2023-06 is highly skewed (γ1 = 28.23072041)Skewed
2023-07 is highly skewed (γ1 = 25.56473742)Skewed
2023-08 is highly skewed (γ1 = 27.26216422)Skewed
2023-09 is highly skewed (γ1 = 26.4787274)Skewed
2023-10 is highly skewed (γ1 = 26.06327042)Skewed
2023-11 is highly skewed (γ1 = 25.4454235)Skewed
2023-12 is highly skewed (γ1 = 25.66944013)Skewed
2024-01 is highly skewed (γ1 = 22.26291346)Skewed
2024-02 is highly skewed (γ1 = 23.25995397)Skewed
지역 및 토지 has unique valuesUnique
2019-01 has 300 (17.7%) zerosZeros
2019-02 has 331 (19.5%) zerosZeros
2019-03 has 302 (17.8%) zerosZeros
2019-04 has 298 (17.6%) zerosZeros
2019-05 has 279 (16.4%) zerosZeros
2019-06 has 308 (18.1%) zerosZeros
2019-07 has 290 (17.1%) zerosZeros
2019-08 has 300 (17.7%) zerosZeros
2019-09 has 337 (19.8%) zerosZeros
2019-10 has 296 (17.4%) zerosZeros
2019-11 has 284 (16.7%) zerosZeros
2019-12 has 279 (16.4%) zerosZeros
2020-01 has 290 (17.1%) zerosZeros
2020-02 has 285 (16.8%) zerosZeros
2020-03 has 251 (14.8%) zerosZeros
2020-04 has 298 (17.6%) zerosZeros
2020-05 has 292 (17.2%) zerosZeros
2020-06 has 261 (15.4%) zerosZeros
2020-07 has 248 (14.6%) zerosZeros
2020-08 has 285 (16.8%) zerosZeros
2020-09 has 292 (17.2%) zerosZeros
2020-10 has 312 (18.4%) zerosZeros
2020-11 has 300 (17.7%) zerosZeros
2020-12 has 234 (13.8%) zerosZeros
2021-01 has 282 (16.6%) zerosZeros
2021-02 has 277 (16.3%) zerosZeros
2021-03 has 260 (15.3%) zerosZeros
2021-04 has 253 (14.9%) zerosZeros
2021-05 has 266 (15.7%) zerosZeros
2021-06 has 258 (15.2%) zerosZeros
2021-07 has 265 (15.6%) zerosZeros
2021-08 has 295 (17.4%) zerosZeros
2021-09 has 307 (18.1%) zerosZeros
2021-10 has 305 (18.0%) zerosZeros
2021-11 has 292 (17.2%) zerosZeros
2021-12 has 263 (15.5%) zerosZeros
2022-01 has 299 (17.6%) zerosZeros
2022-02 has 331 (19.5%) zerosZeros
2022-03 has 311 (18.3%) zerosZeros
2022-04 has 296 (17.4%) zerosZeros
2022-05 has 278 (16.4%) zerosZeros
2022-06 has 310 (18.3%) zerosZeros
2022-07 has 338 (19.9%) zerosZeros
2022-08 has 350 (20.6%) zerosZeros
2022-09 has 346 (20.4%) zerosZeros
2022-10 has 370 (21.8%) zerosZeros
2022-11 has 363 (21.4%) zerosZeros
2022-12 has 350 (20.6%) zerosZeros
2023-01 has 413 (24.3%) zerosZeros
2023-02 has 391 (23.0%) zerosZeros
2023-03 has 360 (21.2%) zerosZeros
2023-04 has 356 (21.0%) zerosZeros
2023-05 has 337 (19.8%) zerosZeros
2023-06 has 353 (20.8%) zerosZeros
2023-07 has 375 (22.1%) zerosZeros
2023-08 has 363 (21.4%) zerosZeros
2023-09 has 383 (22.6%) zerosZeros
2023-10 has 392 (23.1%) zerosZeros
2023-11 has 355 (20.9%) zerosZeros
2023-12 has 361 (21.3%) zerosZeros
2024-01 has 375 (22.1%) zerosZeros
2024-02 has 384 (22.6%) zerosZeros

Reproduction

Analysis started2024-04-06 08:46:07.750573
Analysis finished2024-04-06 08:46:09.333993
Duration1.58 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역 및 토지
Text

UNIQUE 

Distinct1698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-06T17:46:09.709479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length13
Mean length8.8080094
Min length5

Characters and Unicode

Total characters14956
Distinct characters149
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1698 ?
Unique (%)100.0%

Sample

1st row전국 /전
2nd row전국 /답
3rd row전국 /대지
4th row전국 /임야
5th row전국 /공장
ValueCountFrequency (%)
경기 312
 
9.2%
서울 156
 
4.6%
경북 156
 
4.6%
경남 144
 
4.2%
전남 138
 
4.1%
강원 114
 
3.4%
충남 108
 
3.2%
부산 102
 
3.0%
전북 102
 
3.0%
충북 96
 
2.8%
Other values (1466) 1968
58.0%
2024-04-06T17:46:10.640679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1698
 
11.4%
/ 1698
 
11.4%
구 714
 
4.8%
시 684
 
4.6%
경 630
 
4.2%
기 607
 
4.1%
전 583
 
3.9%
군 522
 
3.5%
남 492
 
3.3%
대 403
 
2.7%
Other values (139) 6925
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11560
77.3%
Space Separator 1698
 
11.4%
Other Punctuation 1698
 
11.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 714
 
6.2%
시 684
 
5.9%
경 630
 
5.4%
기 607
 
5.3%
전 583
 
5.0%
군 522
 
4.5%
남 492
 
4.3%
대 403
 
3.5%
북 402
 
3.5%
장 313
 
2.7%
Other values (137) 6210
53.7%
Space Separator
ValueCountFrequency (%)
1698
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11560
77.3%
Common 3396
 
22.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 714
 
6.2%
시 684
 
5.9%
경 630
 
5.4%
기 607
 
5.3%
전 583
 
5.0%
군 522
 
4.5%
남 492
 
4.3%
대 403
 
3.5%
북 402
 
3.5%
장 313
 
2.7%
Other values (137) 6210
53.7%
Common
ValueCountFrequency (%)
1698
50.0%
/ 1698
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11560
77.3%
ASCII 3396
 
22.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1698
50.0%
/ 1698
50.0%
Hangul
ValueCountFrequency (%)
구 714
 
6.2%
시 684
 
5.9%
경 630
 
5.4%
기 607
 
5.3%
전 583
 
5.0%
군 522
 
4.5%
남 492
 
4.3%
대 403
 
3.5%
북 402
 
3.5%
장 313
 
2.7%
Other values (137) 6210
53.7%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct363
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean192.95042
Minimum0
Maximum49328
Zeros300
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:11.069739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q393.75
95-th percentile497
Maximum49328
Range49328
Interquartile range (IQR)91.75

Descriptive statistics

Standard deviation1487.4984
Coefficient of variation (CV)7.7092263
Kurtosis754.13804
Mean192.95042
Median Absolute Deviation (MAD)21
Skewness24.916463
Sum322999
Variance2212651.6
MonotonicityNot monotonic
2024-04-06T17:46:11.486925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 300
 
17.7%
2 75
 
4.4%
1 64
 
3.8%
3 40
 
2.4%
4 33
 
1.9%
5 27
 
1.6%
8 26
 
1.5%
10 23
 
1.4%
7 22
 
1.3%
17 21
 
1.2%
Other values (353) 1043
61.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 300
17.7%
1 64
 
3.8%
2 75
 
4.4%
3 40
 
2.4%
4 33
 
1.9%
5 27
 
1.6%
6 18
 
1.1%
7 22
 
1.3%
8 26
 
1.5%
9 18
 
1.1%
ValueCountFrequency (%)
49328 1
0.1%
23455 1
0.1%
12685 1
0.1%
11806 1
0.1%
8797 1
0.1%
8168 1
0.1%
6754 1
0.1%
6064 1
0.1%
5515 1
0.1%
5338 1
0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct325
Distinct (%)19.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean156.33692
Minimum0
Maximum37783
Zeros331
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:11.863154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q373.75
95-th percentile387.7
Maximum37783
Range37783
Interquartile range (IQR)71.75

Descriptive statistics

Standard deviation1178.6409
Coefficient of variation (CV)7.5391082
Kurtosis678.4719
Mean156.33692
Median Absolute Deviation (MAD)17
Skewness23.594211
Sum261708
Variance1389194.5
MonotonicityNot monotonic
2024-04-06T17:46:12.317863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 331
 
19.5%
1 81
 
4.8%
2 59
 
3.5%
3 46
 
2.7%
4 36
 
2.1%
5 30
 
1.8%
7 26
 
1.5%
9 26
 
1.5%
17 24
 
1.4%
8 23
 
1.4%
Other values (315) 992
58.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 331
19.5%
1 81
 
4.8%
2 59
 
3.5%
3 46
 
2.7%
4 36
 
2.1%
5 30
 
1.8%
6 19
 
1.1%
7 26
 
1.5%
8 23
 
1.4%
9 26
 
1.5%
ValueCountFrequency (%)
37783 1
0.1%
20181 1
0.1%
10589 1
0.1%
10128 1
0.1%
6238 1
0.1%
5957 1
0.1%
5916 1
0.1%
5001 1
0.1%
4364 1
0.1%
4149 1
0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct366
Distinct (%)21.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean194.94026
Minimum0
Maximum47314
Zeros302
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:12.788464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12.25
median21
Q394
95-th percentile438.75
Maximum47314
Range47314
Interquartile range (IQR)91.75

Descriptive statistics

Standard deviation1485.4781
Coefficient of variation (CV)7.620171
Kurtosis673.93031
Mean194.94026
Median Absolute Deviation (MAD)21
Skewness23.643378
Sum326330
Variance2206645.3
MonotonicityNot monotonic
2024-04-06T17:46:13.332116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 302
 
17.8%
1 70
 
4.1%
2 47
 
2.8%
3 36
 
2.1%
4 30
 
1.8%
7 27
 
1.6%
10 25
 
1.5%
15 25
 
1.5%
5 23
 
1.4%
12 23
 
1.4%
Other values (356) 1066
62.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 302
17.8%
1 70
 
4.1%
2 47
 
2.8%
3 36
 
2.1%
4 30
 
1.8%
5 23
 
1.4%
6 22
 
1.3%
7 27
 
1.6%
8 23
 
1.4%
9 15
 
0.9%
ValueCountFrequency (%)
47314 1
0.1%
26853 1
0.1%
13044 1
0.1%
12190 1
0.1%
8389 1
0.1%
6439 1
0.1%
6365 1
0.1%
6113 1
0.1%
5808 1
0.1%
5567 1
0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct363
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean214.45759
Minimum0
Maximum59414
Zeros298
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:13.788928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q396.75
95-th percentile495.35
Maximum59414
Range59414
Interquartile range (IQR)94.75

Descriptive statistics

Standard deviation1738.1196
Coefficient of variation (CV)8.1047241
Kurtosis831.6724
Mean214.45759
Median Absolute Deviation (MAD)23
Skewness26.174956
Sum359002
Variance3021059.6
MonotonicityNot monotonic
2024-04-06T17:46:14.203205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 298
 
17.6%
1 74
 
4.4%
2 58
 
3.4%
3 37
 
2.2%
20 29
 
1.7%
13 28
 
1.6%
5 28
 
1.6%
7 25
 
1.5%
12 25
 
1.5%
6 24
 
1.4%
Other values (353) 1048
61.7%
ValueCountFrequency (%)
0 298
17.6%
1 74
 
4.4%
2 58
 
3.4%
3 37
 
2.2%
4 19
 
1.1%
5 28
 
1.6%
6 24
 
1.4%
7 25
 
1.5%
8 24
 
1.4%
9 15
 
0.9%
ValueCountFrequency (%)
59414 1
0.1%
23969 1
0.1%
13595 1
0.1%
13574 1
0.1%
11838 1
0.1%
9064 1
0.1%
8331 1
0.1%
6944 1
0.1%
5912 1
0.1%
5606 1
0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct370
Distinct (%)22.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean205.92354
Minimum0
Maximum58554
Zeros279
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:14.677706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q392
95-th percentile560.35
Maximum58554
Range58554
Interquartile range (IQR)89

Descriptive statistics

Standard deviation1675.2542
Coefficient of variation (CV)8.1353215
Kurtosis897.81782
Mean205.92354
Median Absolute Deviation (MAD)23
Skewness27.257952
Sum344716
Variance2806476.6
MonotonicityNot monotonic
2024-04-06T17:46:15.153928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 279
 
16.4%
1 77
 
4.5%
2 53
 
3.1%
3 34
 
2.0%
7 30
 
1.8%
5 29
 
1.7%
14 27
 
1.6%
4 27
 
1.6%
8 26
 
1.5%
11 24
 
1.4%
Other values (360) 1068
62.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 279
16.4%
1 77
 
4.5%
2 53
 
3.1%
3 34
 
2.0%
4 27
 
1.6%
5 29
 
1.7%
6 20
 
1.2%
7 30
 
1.8%
8 26
 
1.5%
9 21
 
1.2%
ValueCountFrequency (%)
58554 1
0.1%
20027 1
0.1%
13463 1
0.1%
13008 1
0.1%
9423 1
0.1%
8906 1
0.1%
8641 1
0.1%
7864 1
0.1%
6187 1
0.1%
5423 1
0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct328
Distinct (%)19.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean168.97312
Minimum0
Maximum46606
Zeros308
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:15.621121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q377
95-th percentile427.1
Maximum46606
Range46606
Interquartile range (IQR)75

Descriptive statistics

Standard deviation1345.8238
Coefficient of variation (CV)7.9647213
Kurtosis865.95648
Mean168.97312
Median Absolute Deviation (MAD)21
Skewness26.660928
Sum282861
Variance1811241.7
MonotonicityNot monotonic
2024-04-06T17:46:16.140318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 308
 
18.1%
1 79
 
4.7%
3 43
 
2.5%
2 37
 
2.2%
5 35
 
2.1%
4 35
 
2.1%
7 30
 
1.8%
9 27
 
1.6%
18 26
 
1.5%
19 24
 
1.4%
Other values (318) 1030
60.7%
ValueCountFrequency (%)
0 308
18.1%
1 79
 
4.7%
2 37
 
2.2%
3 43
 
2.5%
4 35
 
2.1%
5 35
 
2.1%
6 18
 
1.1%
7 30
 
1.8%
8 24
 
1.4%
9 27
 
1.6%
ValueCountFrequency (%)
46606 1
0.1%
15601 1
0.1%
12294 1
0.1%
10284 1
0.1%
9181 1
0.1%
6831 1
0.1%
6675 1
0.1%
6364 1
0.1%
4631 1
0.1%
4417 1
0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct349
Distinct (%)20.8%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean172.93728
Minimum0
Maximum46010
Zeros290
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:16.568904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q382
95-th percentile447.5
Maximum46010
Range46010
Interquartile range (IQR)79

Descriptive statistics

Standard deviation1348.3275
Coefficient of variation (CV)7.7966276
Kurtosis822.20075
Mean172.93728
Median Absolute Deviation (MAD)24
Skewness25.940825
Sum289497
Variance1817987.2
MonotonicityNot monotonic
2024-04-06T17:46:17.009010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 290
 
17.1%
1 60
 
3.5%
2 50
 
2.9%
4 40
 
2.4%
3 38
 
2.2%
5 32
 
1.9%
10 29
 
1.7%
6 28
 
1.6%
16 22
 
1.3%
8 22
 
1.3%
Other values (339) 1063
62.6%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 290
17.1%
1 60
 
3.5%
2 50
 
2.9%
3 38
 
2.2%
4 40
 
2.4%
5 32
 
1.9%
6 28
 
1.6%
7 21
 
1.2%
8 22
 
1.3%
9 19
 
1.1%
ValueCountFrequency (%)
46010 1
0.1%
17025 1
0.1%
12183 1
0.1%
12118 1
0.1%
7377 1
0.1%
6882 1
0.1%
6729 1
0.1%
6524 1
0.1%
6103 1
0.1%
4512 1
0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct330
Distinct (%)19.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean155.91219
Minimum0
Maximum43419
Zeros300
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:17.606652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20.5
Q373.75
95-th percentile370.35
Maximum43419
Range43419
Interquartile range (IQR)71.75

Descriptive statistics

Standard deviation1252.1841
Coefficient of variation (CV)8.0313422
Kurtosis870.41898
Mean155.91219
Median Absolute Deviation (MAD)20.5
Skewness26.756737
Sum260997
Variance1567965.1
MonotonicityNot monotonic
2024-04-06T17:46:18.001348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 300
 
17.7%
1 77
 
4.5%
3 55
 
3.2%
2 53
 
3.1%
5 29
 
1.7%
4 28
 
1.6%
9 27
 
1.6%
6 26
 
1.5%
7 25
 
1.5%
13 25
 
1.5%
Other values (320) 1029
60.6%
ValueCountFrequency (%)
0 300
17.7%
1 77
 
4.5%
2 53
 
3.1%
3 55
 
3.2%
4 28
 
1.6%
5 29
 
1.7%
6 26
 
1.5%
7 25
 
1.5%
8 14
 
0.8%
9 27
 
1.6%
ValueCountFrequency (%)
43419 1
0.1%
14562 1
0.1%
10648 1
0.1%
10618 1
0.1%
7405 1
0.1%
6981 1
0.1%
6570 1
0.1%
6488 1
0.1%
4413 1
0.1%
4209 1
0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)18.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean141.16786
Minimum0
Maximum38089
Zeros337
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:18.426220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q366
95-th percentile349.8
Maximum38089
Range38089
Interquartile range (IQR)64

Descriptive statistics

Standard deviation1108.371
Coefficient of variation (CV)7.85144
Kurtosis842.16332
Mean141.16786
Median Absolute Deviation (MAD)17
Skewness26.24999
Sum236315
Variance1228486.3
MonotonicityNot monotonic
2024-04-06T17:46:18.833109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 337
 
19.8%
1 78
 
4.6%
2 47
 
2.8%
4 40
 
2.4%
3 36
 
2.1%
5 33
 
1.9%
9 31
 
1.8%
10 29
 
1.7%
8 27
 
1.6%
14 23
 
1.4%
Other values (294) 993
58.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 337
19.8%
1 78
 
4.6%
2 47
 
2.8%
3 36
 
2.1%
4 40
 
2.4%
5 33
 
1.9%
6 22
 
1.3%
7 22
 
1.3%
8 27
 
1.6%
9 31
 
1.8%
ValueCountFrequency (%)
38089 1
0.1%
13354 1
0.1%
10036 1
0.1%
9251 1
0.1%
6764 1
0.1%
6503 1
0.1%
5837 1
0.1%
4617 1
0.1%
3694 1
0.1%
3609 1
0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct326
Distinct (%)19.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean161.56213
Minimum0
Maximum41254
Zeros296
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:19.220350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q379
95-th percentile389.7
Maximum41254
Range41254
Interquartile range (IQR)77

Descriptive statistics

Standard deviation1239.7067
Coefficient of variation (CV)7.673251
Kurtosis755.71164
Mean161.56213
Median Absolute Deviation (MAD)23
Skewness24.846595
Sum270455
Variance1536872.8
MonotonicityNot monotonic
2024-04-06T17:46:19.610445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 296
 
17.4%
1 76
 
4.5%
2 50
 
2.9%
3 45
 
2.7%
4 35
 
2.1%
5 30
 
1.8%
6 28
 
1.6%
7 25
 
1.5%
8 23
 
1.4%
12 21
 
1.2%
Other values (316) 1045
61.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 296
17.4%
1 76
 
4.5%
2 50
 
2.9%
3 45
 
2.7%
4 35
 
2.1%
5 30
 
1.8%
6 28
 
1.6%
7 25
 
1.5%
8 23
 
1.4%
9 20
 
1.2%
ValueCountFrequency (%)
41254 1
0.1%
17614 1
0.1%
12273 1
0.1%
11041 1
0.1%
8020 1
0.1%
6649 1
0.1%
4897 1
0.1%
4893 1
0.1%
4578 1
0.1%
3768 1
0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)20.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean179.55974
Minimum0
Maximum42613
Zeros284
Zeros (%)16.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:19.978479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q378.75
95-th percentile454.55
Maximum42613
Range42613
Interquartile range (IQR)75.75

Descriptive statistics

Standard deviation1343.904
Coefficient of variation (CV)7.4844395
Kurtosis642.97133
Mean179.55974
Median Absolute Deviation (MAD)24
Skewness22.831461
Sum300583
Variance1806077.9
MonotonicityNot monotonic
2024-04-06T17:46:20.355795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 284
 
16.7%
1 85
 
5.0%
2 48
 
2.8%
3 37
 
2.2%
5 36
 
2.1%
4 34
 
2.0%
9 30
 
1.8%
7 26
 
1.5%
13 22
 
1.3%
27 21
 
1.2%
Other values (332) 1051
61.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 284
16.7%
1 85
 
5.0%
2 48
 
2.8%
3 37
 
2.2%
4 34
 
2.0%
5 36
 
2.1%
6 20
 
1.2%
7 26
 
1.5%
8 19
 
1.1%
9 30
 
1.8%
ValueCountFrequency (%)
42613 1
0.1%
20821 1
0.1%
15583 1
0.1%
10933 1
0.1%
9741 1
0.1%
9322 1
0.1%
5888 1
0.1%
5307 1
0.1%
5244 1
0.1%
5225 1
0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct373
Distinct (%)22.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean205.53883
Minimum0
Maximum48639
Zeros279
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:20.701606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median28
Q396
95-th percentile500.4
Maximum48639
Range48639
Interquartile range (IQR)94

Descriptive statistics

Standard deviation1521.4807
Coefficient of variation (CV)7.4024004
Kurtosis662.09437
Mean205.53883
Median Absolute Deviation (MAD)28
Skewness23.206167
Sum344072
Variance2314903.6
MonotonicityNot monotonic
2024-04-06T17:46:21.626401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 279
 
16.4%
1 94
 
5.5%
2 50
 
2.9%
3 35
 
2.1%
4 28
 
1.6%
5 26
 
1.5%
7 25
 
1.5%
8 24
 
1.4%
6 20
 
1.2%
9 20
 
1.2%
Other values (363) 1073
63.2%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 279
16.4%
1 94
 
5.5%
2 50
 
2.9%
3 35
 
2.1%
4 28
 
1.6%
5 26
 
1.5%
6 20
 
1.2%
7 25
 
1.5%
8 24
 
1.4%
9 20
 
1.2%
ValueCountFrequency (%)
48639 1
0.1%
23531 1
0.1%
17928 1
0.1%
12731 1
0.1%
9897 1
0.1%
7608 1
0.1%
6767 1
0.1%
6371 1
0.1%
6141 1
0.1%
6057 1
0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct327
Distinct (%)19.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean156.80466
Minimum0
Maximum34288
Zeros290
Zeros (%)17.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:22.041878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q379
95-th percentile374.7
Maximum34288
Range34288
Interquartile range (IQR)77

Descriptive statistics

Standard deviation1136.2032
Coefficient of variation (CV)7.2459783
Kurtosis568.67929
Mean156.80466
Median Absolute Deviation (MAD)23
Skewness21.706755
Sum262491
Variance1290957.6
MonotonicityNot monotonic
2024-04-06T17:46:22.397910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 290
 
17.1%
1 76
 
4.5%
2 67
 
3.9%
4 37
 
2.2%
3 37
 
2.2%
9 28
 
1.6%
8 27
 
1.6%
7 27
 
1.6%
5 26
 
1.5%
15 21
 
1.2%
Other values (317) 1038
61.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 290
17.1%
1 76
 
4.5%
2 67
 
3.9%
3 37
 
2.2%
4 37
 
2.2%
5 26
 
1.5%
6 21
 
1.2%
7 27
 
1.6%
8 27
 
1.6%
9 28
 
1.6%
ValueCountFrequency (%)
34288 1
0.1%
20690 1
0.1%
13983 1
0.1%
10701 1
0.1%
5967 1
0.1%
5832 1
0.1%
5223 1
0.1%
5201 1
0.1%
4231 1
0.1%
3586 1
0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean198.07766
Minimum0
Maximum46235
Zeros285
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:22.781955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median26
Q391.75
95-th percentile456.4
Maximum46235
Range46235
Interquartile range (IQR)89.75

Descriptive statistics

Standard deviation1477.8145
Coefficient of variation (CV)7.4607833
Kurtosis630.57585
Mean198.07766
Median Absolute Deviation (MAD)26
Skewness22.75381
Sum331582
Variance2183935.7
MonotonicityNot monotonic
2024-04-06T17:46:23.161379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 285
 
16.8%
1 88
 
5.2%
2 57
 
3.4%
3 38
 
2.2%
6 29
 
1.7%
4 28
 
1.6%
5 27
 
1.6%
8 22
 
1.3%
33 20
 
1.2%
10 20
 
1.2%
Other values (354) 1060
62.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 285
16.8%
1 88
 
5.2%
2 57
 
3.4%
3 38
 
2.2%
4 28
 
1.6%
5 27
 
1.6%
6 29
 
1.7%
7 14
 
0.8%
8 22
 
1.3%
9 20
 
1.2%
ValueCountFrequency (%)
46235 1
0.1%
26255 1
0.1%
14763 1
0.1%
12003 1
0.1%
10801 1
0.1%
6492 1
0.1%
6441 1
0.1%
6051 1
0.1%
5265 1
0.1%
5162 1
0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)22.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean211.89068
Minimum0
Maximum48339
Zeros251
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:23.713136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28
Q3101.75
95-th percentile519.7
Maximum48339
Range48339
Interquartile range (IQR)97.75

Descriptive statistics

Standard deviation1564.1167
Coefficient of variation (CV)7.3817155
Kurtosis614.7083
Mean211.89068
Median Absolute Deviation (MAD)28
Skewness22.560527
Sum354705
Variance2446461.1
MonotonicityNot monotonic
2024-04-06T17:46:24.204975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 251
 
14.8%
1 69
 
4.1%
2 47
 
2.8%
4 37
 
2.2%
5 37
 
2.2%
3 34
 
2.0%
7 26
 
1.5%
6 25
 
1.5%
8 22
 
1.3%
9 21
 
1.2%
Other values (369) 1105
65.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 251
14.8%
1 69
 
4.1%
2 47
 
2.8%
3 34
 
2.0%
4 37
 
2.2%
5 37
 
2.2%
6 25
 
1.5%
7 26
 
1.5%
8 22
 
1.3%
9 21
 
1.2%
ValueCountFrequency (%)
48339 1
0.1%
28971 1
0.1%
15556 1
0.1%
14875 1
0.1%
7579 1
0.1%
7015 1
0.1%
6505 1
0.1%
5742 1
0.1%
5647 1
0.1%
5517 1
0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)21.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean211.65233
Minimum0
Maximum45128
Zeros298
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:24.566422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q389
95-th percentile456.15
Maximum45128
Range45128
Interquartile range (IQR)87

Descriptive statistics

Standard deviation1644.3953
Coefficient of variation (CV)7.7693227
Kurtosis485.53511
Mean211.65233
Median Absolute Deviation (MAD)24
Skewness20.31513
Sum354306
Variance2704035.7
MonotonicityNot monotonic
2024-04-06T17:46:25.106994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 298
 
17.6%
1 70
 
4.1%
2 52
 
3.1%
3 39
 
2.3%
5 32
 
1.9%
4 24
 
1.4%
9 24
 
1.4%
13 23
 
1.4%
7 23
 
1.4%
14 22
 
1.3%
Other values (343) 1067
62.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 298
17.6%
1 70
 
4.1%
2 52
 
3.1%
3 39
 
2.3%
4 24
 
1.4%
5 32
 
1.9%
6 19
 
1.1%
7 23
 
1.4%
8 18
 
1.1%
9 24
 
1.4%
ValueCountFrequency (%)
45128 1
0.1%
36384 1
0.1%
16734 1
0.1%
13488 1
0.1%
13240 1
0.1%
13070 1
0.1%
8297 1
0.1%
6703 1
0.1%
6561 1
0.1%
5710 1
0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)20.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean190.47491
Minimum0
Maximum51160
Zeros292
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:25.648078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q387
95-th percentile451.75
Maximum51160
Range51160
Interquartile range (IQR)85

Descriptive statistics

Standard deviation1502.9787
Coefficient of variation (CV)7.8906913
Kurtosis815.85735
Mean190.47491
Median Absolute Deviation (MAD)23
Skewness25.834959
Sum318855
Variance2258945
MonotonicityNot monotonic
2024-04-06T17:46:26.196391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 292
 
17.2%
1 76
 
4.5%
2 56
 
3.3%
3 39
 
2.3%
4 38
 
2.2%
6 26
 
1.5%
8 25
 
1.5%
10 24
 
1.4%
5 24
 
1.4%
12 23
 
1.4%
Other values (336) 1051
61.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 292
17.2%
1 76
 
4.5%
2 56
 
3.3%
3 39
 
2.3%
4 38
 
2.2%
5 24
 
1.4%
6 26
 
1.5%
7 19
 
1.1%
8 25
 
1.5%
9 19
 
1.1%
ValueCountFrequency (%)
51160 1
0.1%
19565 1
0.1%
13999 1
0.1%
12530 1
0.1%
9581 1
0.1%
7048 1
0.1%
6368 1
0.1%
6000 1
0.1%
5998 1
0.1%
5966 1
0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)23.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean227.3632
Minimum0
Maximum61956
Zeros261
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:26.674858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median31
Q3110.75
95-th percentile521.95
Maximum61956
Range61956
Interquartile range (IQR)107.75

Descriptive statistics

Standard deviation1819.6165
Coefficient of variation (CV)8.0031267
Kurtosis814.53467
Mean227.3632
Median Absolute Deviation (MAD)31
Skewness25.800676
Sum380606
Variance3311004.3
MonotonicityNot monotonic
2024-04-06T17:46:27.118268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 261
 
15.4%
1 77
 
4.5%
2 54
 
3.2%
3 37
 
2.2%
6 29
 
1.7%
5 24
 
1.4%
10 22
 
1.3%
4 21
 
1.2%
13 21
 
1.2%
11 20
 
1.2%
Other values (375) 1108
65.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 261
15.4%
1 77
 
4.5%
2 54
 
3.2%
3 37
 
2.2%
4 21
 
1.2%
5 24
 
1.4%
6 29
 
1.7%
7 18
 
1.1%
8 18
 
1.1%
9 17
 
1.0%
ValueCountFrequency (%)
61956 1
0.1%
20769 1
0.1%
19281 1
0.1%
15216 1
0.1%
14637 1
0.1%
8687 1
0.1%
8628 1
0.1%
7517 1
0.1%
7214 1
0.1%
5308 1
0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct371
Distinct (%)22.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean202.40203
Minimum0
Maximum49184
Zeros248
Zeros (%)14.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:27.574303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median33
Q3104
95-th percentile449.8
Maximum49184
Range49184
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1504.2827
Coefficient of variation (CV)7.4321523
Kurtosis707.65053
Mean202.40203
Median Absolute Deviation (MAD)33
Skewness23.943902
Sum338821
Variance2262866.5
MonotonicityNot monotonic
2024-04-06T17:46:28.001686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 248
 
14.6%
1 80
 
4.7%
2 54
 
3.2%
4 38
 
2.2%
3 35
 
2.1%
5 31
 
1.8%
7 26
 
1.5%
12 23
 
1.4%
8 20
 
1.2%
10 19
 
1.1%
Other values (361) 1100
64.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 248
14.6%
1 80
 
4.7%
2 54
 
3.2%
3 35
 
2.1%
4 38
 
2.2%
5 31
 
1.8%
6 13
 
0.8%
7 26
 
1.5%
8 20
 
1.2%
9 14
 
0.8%
ValueCountFrequency (%)
49184 1
0.1%
19658 1
0.1%
18474 1
0.1%
14259 1
0.1%
8552 1
0.1%
8309 1
0.1%
7031 1
0.1%
6547 1
0.1%
6034 1
0.1%
5482 1
0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct337
Distinct (%)20.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean163.30526
Minimum0
Maximum39014
Zeros285
Zeros (%)16.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:28.513361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q383
95-th percentile374.9
Maximum39014
Range39014
Interquartile range (IQR)80

Descriptive statistics

Standard deviation1202.2215
Coefficient of variation (CV)7.361805
Kurtosis692.58771
Mean163.30526
Median Absolute Deviation (MAD)25
Skewness23.701023
Sum273373
Variance1445336.4
MonotonicityNot monotonic
2024-04-06T17:46:29.044284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 285
 
16.8%
1 80
 
4.7%
3 43
 
2.5%
2 40
 
2.4%
4 32
 
1.9%
8 28
 
1.6%
7 26
 
1.5%
11 24
 
1.4%
6 23
 
1.4%
5 22
 
1.3%
Other values (327) 1071
63.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 285
16.8%
1 80
 
4.7%
2 40
 
2.4%
3 43
 
2.5%
4 32
 
1.9%
5 22
 
1.3%
6 23
 
1.4%
7 26
 
1.5%
8 28
 
1.6%
9 19
 
1.1%
ValueCountFrequency (%)
39014 1
0.1%
17650 1
0.1%
12793 1
0.1%
11930 1
0.1%
6758 1
0.1%
5985 1
0.1%
5272 1
0.1%
5256 1
0.1%
4877 1
0.1%
4754 1
0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)20.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean182.96177
Minimum0
Maximum48150
Zeros292
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:29.588130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q389
95-th percentile421.05
Maximum48150
Range48150
Interquartile range (IQR)86

Descriptive statistics

Standard deviation1418.5764
Coefficient of variation (CV)7.7534036
Kurtosis804.28323
Mean182.96177
Median Absolute Deviation (MAD)25
Skewness25.563912
Sum306278
Variance2012359.1
MonotonicityNot monotonic
2024-04-06T17:46:30.036211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 292
 
17.2%
1 71
 
4.2%
3 45
 
2.7%
2 45
 
2.7%
4 35
 
2.1%
9 28
 
1.6%
7 25
 
1.5%
8 23
 
1.4%
6 23
 
1.4%
21 20
 
1.2%
Other values (336) 1067
62.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 292
17.2%
1 71
 
4.2%
2 45
 
2.7%
3 45
 
2.7%
4 35
 
2.1%
5 17
 
1.0%
6 23
 
1.4%
7 25
 
1.5%
8 23
 
1.4%
9 28
 
1.6%
ValueCountFrequency (%)
48150 1
0.1%
17108 1
0.1%
13559 1
0.1%
12617 1
0.1%
10361 1
0.1%
6646 1
0.1%
6597 1
0.1%
6265 1
0.1%
5436 1
0.1%
5268 1
0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct342
Distinct (%)20.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean172.68817
Minimum0
Maximum41136
Zeros312
Zeros (%)18.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:30.585182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q385
95-th percentile379.35
Maximum41136
Range41136
Interquartile range (IQR)83

Descriptive statistics

Standard deviation1272.0325
Coefficient of variation (CV)7.3660662
Kurtosis682.59576
Mean172.68817
Median Absolute Deviation (MAD)24
Skewness23.494768
Sum289080
Variance1618066.7
MonotonicityNot monotonic
2024-04-06T17:46:31.097907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 312
 
18.4%
1 67
 
3.9%
3 49
 
2.9%
2 48
 
2.8%
7 27
 
1.6%
6 23
 
1.4%
8 23
 
1.4%
11 20
 
1.2%
20 20
 
1.2%
10 20
 
1.2%
Other values (332) 1065
62.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 312
18.4%
1 67
 
3.9%
2 48
 
2.8%
3 49
 
2.9%
4 15
 
0.9%
5 17
 
1.0%
6 23
 
1.4%
7 27
 
1.6%
8 23
 
1.4%
9 19
 
1.1%
ValueCountFrequency (%)
41136 1
0.1%
18063 1
0.1%
14061 1
0.1%
13007 1
0.1%
9189 1
0.1%
5211 1
0.1%
5001 1
0.1%
4944 1
0.1%
4593 1
0.1%
3845 1
0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct372
Distinct (%)22.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean205.04659
Minimum0
Maximum47977
Zeros300
Zeros (%)17.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:31.523434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median30
Q3110.75
95-th percentile476.8
Maximum47977
Range47977
Interquartile range (IQR)107.75

Descriptive statistics

Standard deviation1513.5619
Coefficient of variation (CV)7.3815509
Kurtosis647.48819
Mean205.04659
Median Absolute Deviation (MAD)30
Skewness23.015176
Sum343248
Variance2290869.6
MonotonicityNot monotonic
2024-04-06T17:46:31.926803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 300
 
17.7%
1 62
 
3.7%
2 40
 
2.4%
3 37
 
2.2%
5 31
 
1.8%
6 28
 
1.6%
4 28
 
1.6%
7 22
 
1.3%
17 21
 
1.2%
8 19
 
1.1%
Other values (362) 1086
64.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 300
17.7%
1 62
 
3.7%
2 40
 
2.4%
3 37
 
2.2%
4 28
 
1.6%
5 31
 
1.8%
6 28
 
1.6%
7 22
 
1.3%
8 19
 
1.1%
9 17
 
1.0%
ValueCountFrequency (%)
47977 1
0.1%
24566 1
0.1%
15696 1
0.1%
15076 1
0.1%
11645 1
0.1%
6776 1
0.1%
6385 1
0.1%
5950 1
0.1%
5179 1
0.1%
4472 1
0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct425
Distinct (%)25.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean261.22581
Minimum0
Maximum58817
Zeros234
Zeros (%)13.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:32.355505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median38
Q3131
95-th percentile635
Maximum58817
Range58817
Interquartile range (IQR)126

Descriptive statistics

Standard deviation1889.7248
Coefficient of variation (CV)7.2340662
Kurtosis614.37426
Mean261.22581
Median Absolute Deviation (MAD)37
Skewness22.403827
Sum437292
Variance3571059.7
MonotonicityNot monotonic
2024-04-06T17:46:33.473658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 234
 
13.8%
1 73
 
4.3%
2 49
 
2.9%
4 32
 
1.9%
3 30
 
1.8%
6 22
 
1.3%
9 22
 
1.3%
8 22
 
1.3%
25 18
 
1.1%
20 17
 
1.0%
Other values (415) 1155
68.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 234
13.8%
1 73
 
4.3%
2 49
 
2.9%
3 30
 
1.8%
4 32
 
1.9%
5 15
 
0.9%
6 22
 
1.3%
7 16
 
0.9%
8 22
 
1.3%
9 22
 
1.3%
ValueCountFrequency (%)
58817 1
0.1%
32464 1
0.1%
19947 1
0.1%
17699 1
0.1%
12542 1
0.1%
9804 1
0.1%
8979 1
0.1%
8880 1
0.1%
7240 1
0.1%
5711 1
0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)21.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean185.00478
Minimum0
Maximum37420
Zeros282
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:33.873066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median27
Q399.75
95-th percentile423.45
Maximum37420
Range37420
Interquartile range (IQR)96.75

Descriptive statistics

Standard deviation1294.8149
Coefficient of variation (CV)6.9988188
Kurtosis521.63024
Mean185.00478
Median Absolute Deviation (MAD)27
Skewness20.939736
Sum309698
Variance1676545.7
MonotonicityNot monotonic
2024-04-06T17:46:34.301830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 282
 
16.6%
1 59
 
3.5%
2 46
 
2.7%
3 37
 
2.2%
4 28
 
1.6%
10 23
 
1.4%
5 23
 
1.4%
21 21
 
1.2%
15 21
 
1.2%
17 21
 
1.2%
Other values (343) 1113
65.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 282
16.6%
1 59
 
3.5%
2 46
 
2.7%
3 37
 
2.2%
4 28
 
1.6%
5 23
 
1.4%
6 20
 
1.2%
7 20
 
1.2%
8 21
 
1.2%
9 16
 
0.9%
ValueCountFrequency (%)
37420 1
0.1%
26044 1
0.1%
14669 1
0.1%
14283 1
0.1%
6373 1
0.1%
5217 1
0.1%
5123 1
0.1%
4847 1
0.1%
4495 1
0.1%
4469 1
0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct356
Distinct (%)21.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean188.38172
Minimum0
Maximum39768
Zeros277
Zeros (%)16.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:34.725465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median26
Q396.75
95-th percentile443
Maximum39768
Range39768
Interquartile range (IQR)93.75

Descriptive statistics

Standard deviation1340.6621
Coefficient of variation (CV)7.1167312
Kurtosis553.14934
Mean188.38172
Median Absolute Deviation (MAD)26
Skewness21.466937
Sum315351
Variance1797374.8
MonotonicityNot monotonic
2024-04-06T17:46:35.138222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 277
 
16.3%
1 77
 
4.5%
2 44
 
2.6%
3 40
 
2.4%
5 33
 
1.9%
8 31
 
1.8%
7 30
 
1.8%
6 27
 
1.6%
20 24
 
1.4%
4 24
 
1.4%
Other values (346) 1067
62.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 277
16.3%
1 77
 
4.5%
2 44
 
2.6%
3 40
 
2.4%
4 24
 
1.4%
5 33
 
1.9%
6 27
 
1.6%
7 30
 
1.8%
8 31
 
1.8%
9 16
 
0.9%
ValueCountFrequency (%)
39768 1
0.1%
26246 1
0.1%
14347 1
0.1%
13607 1
0.1%
6424 1
0.1%
6125 1
0.1%
6077 1
0.1%
5647 1
0.1%
5005 1
0.1%
4631 1
0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct431
Distinct (%)25.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean262.54659
Minimum0
Maximum56703
Zeros260
Zeros (%)15.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:35.573956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35
Q3137
95-th percentile585.45
Maximum56703
Range56703
Interquartile range (IQR)133

Descriptive statistics

Standard deviation1905.3648
Coefficient of variation (CV)7.2572443
Kurtosis561.87994
Mean262.54659
Median Absolute Deviation (MAD)35
Skewness21.671408
Sum439503
Variance3630415
MonotonicityNot monotonic
2024-04-06T17:46:35.983309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 260
 
15.3%
1 68
 
4.0%
2 52
 
3.1%
3 37
 
2.2%
7 28
 
1.6%
4 26
 
1.5%
17 24
 
1.4%
6 21
 
1.2%
5 19
 
1.1%
8 19
 
1.1%
Other values (421) 1120
66.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 260
15.3%
1 68
 
4.0%
2 52
 
3.1%
3 37
 
2.2%
4 26
 
1.5%
5 19
 
1.1%
6 21
 
1.2%
7 28
 
1.6%
8 19
 
1.1%
9 12
 
0.7%
ValueCountFrequency (%)
56703 1
0.1%
37669 1
0.1%
20400 1
0.1%
18647 1
0.1%
9571 1
0.1%
8986 1
0.1%
6923 1
0.1%
6907 1
0.1%
6239 1
0.1%
6217 1
0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct420
Distinct (%)25.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean261.38053
Minimum0
Maximum59868
Zeros253
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:36.374294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35.5
Q3136
95-th percentile621.7
Maximum59868
Range59868
Interquartile range (IQR)132

Descriptive statistics

Standard deviation1904.9131
Coefficient of variation (CV)7.287892
Kurtosis630.13115
Mean261.38053
Median Absolute Deviation (MAD)35.5
Skewness22.680965
Sum437551
Variance3628693.7
MonotonicityNot monotonic
2024-04-06T17:46:36.750242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 253
 
14.9%
1 70
 
4.1%
2 47
 
2.8%
4 41
 
2.4%
3 27
 
1.6%
5 26
 
1.5%
10 22
 
1.3%
6 21
 
1.2%
22 20
 
1.2%
11 20
 
1.2%
Other values (410) 1127
66.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 253
14.9%
1 70
 
4.1%
2 47
 
2.8%
3 27
 
1.6%
4 41
 
2.4%
5 26
 
1.5%
6 21
 
1.2%
7 19
 
1.1%
8 15
 
0.9%
9 16
 
0.9%
ValueCountFrequency (%)
59868 1
0.1%
31192 1
0.1%
20364 1
0.1%
20230 1
0.1%
11735 1
0.1%
8750 1
0.1%
7943 1
0.1%
7195 1
0.1%
6948 1
0.1%
6434 1
0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)23.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean228.96535
Minimum0
Maximum57078
Zeros266
Zeros (%)15.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:37.159164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median34
Q3113
95-th percentile501.7
Maximum57078
Range57078
Interquartile range (IQR)110

Descriptive statistics

Standard deviation1728.07
Coefficient of variation (CV)7.547299
Kurtosis732.27863
Mean228.96535
Median Absolute Deviation (MAD)34
Skewness24.340246
Sum383288
Variance2986225.8
MonotonicityNot monotonic
2024-04-06T17:46:37.632249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 266
 
15.7%
1 64
 
3.8%
2 52
 
3.1%
4 39
 
2.3%
3 39
 
2.3%
15 24
 
1.4%
7 24
 
1.4%
6 23
 
1.4%
9 22
 
1.3%
5 19
 
1.1%
Other values (375) 1102
64.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 266
15.7%
1 64
 
3.8%
2 52
 
3.1%
3 39
 
2.3%
4 39
 
2.3%
5 19
 
1.1%
6 23
 
1.4%
7 24
 
1.4%
8 14
 
0.8%
9 22
 
1.3%
ValueCountFrequency (%)
57078 1
0.1%
22828 1
0.1%
18729 1
0.1%
17325 1
0.1%
8434 1
0.1%
8328 1
0.1%
8163 1
0.1%
7659 1
0.1%
7370 1
0.1%
5821 1
0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct392
Distinct (%)23.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean228.65233
Minimum0
Maximum57749
Zeros258
Zeros (%)15.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:38.178942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median32
Q3114
95-th percentile550.2
Maximum57749
Range57749
Interquartile range (IQR)110

Descriptive statistics

Standard deviation1735.8932
Coefficient of variation (CV)7.5918459
Kurtosis749.26728
Mean228.65233
Median Absolute Deviation (MAD)32
Skewness24.624534
Sum382764
Variance3013325.4
MonotonicityNot monotonic
2024-04-06T17:46:38.615081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 258
 
15.2%
1 73
 
4.3%
2 38
 
2.2%
3 32
 
1.9%
4 25
 
1.5%
7 25
 
1.5%
8 24
 
1.4%
6 23
 
1.4%
5 22
 
1.3%
23 19
 
1.1%
Other values (382) 1135
66.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 258
15.2%
1 73
 
4.3%
2 38
 
2.2%
3 32
 
1.9%
4 25
 
1.5%
5 22
 
1.3%
6 23
 
1.4%
7 25
 
1.5%
8 24
 
1.4%
9 17
 
1.0%
ValueCountFrequency (%)
57749 1
0.1%
21697 1
0.1%
18434 1
0.1%
17121 1
0.1%
12070 1
0.1%
9537 1
0.1%
7601 1
0.1%
6798 1
0.1%
5501 1
0.1%
5391 1
0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct377
Distinct (%)22.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean208.00239
Minimum0
Maximum50946
Zeros265
Zeros (%)15.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:39.014561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median28
Q3104
95-th percentile583.35
Maximum50946
Range50946
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1533.0386
Coefficient of variation (CV)7.3702933
Kurtosis744.50098
Mean208.00239
Median Absolute Deviation (MAD)28
Skewness24.482147
Sum348196
Variance2350207.4
MonotonicityNot monotonic
2024-04-06T17:46:39.424928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 265
 
15.6%
1 62
 
3.7%
3 39
 
2.3%
2 38
 
2.2%
4 30
 
1.8%
8 27
 
1.6%
6 26
 
1.5%
12 24
 
1.4%
7 23
 
1.4%
9 21
 
1.2%
Other values (367) 1119
65.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 265
15.6%
1 62
 
3.7%
2 38
 
2.2%
3 39
 
2.3%
4 30
 
1.8%
5 21
 
1.2%
6 26
 
1.5%
7 23
 
1.4%
8 27
 
1.6%
9 21
 
1.2%
ValueCountFrequency (%)
50946 1
0.1%
18664 1
0.1%
15846 1
0.1%
15822 1
0.1%
8969 1
0.1%
8642 1
0.1%
7974 1
0.1%
7101 1
0.1%
6161 1
0.1%
5430 1
0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct365
Distinct (%)21.8%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean199.3184
Minimum0
Maximum51466
Zeros295
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:39.819318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median28
Q394
95-th percentile477.35
Maximum51466
Range51466
Interquartile range (IQR)91

Descriptive statistics

Standard deviation1530.3316
Coefficient of variation (CV)7.677824
Kurtosis777.88686
Mean199.3184
Median Absolute Deviation (MAD)28
Skewness25.122925
Sum333659
Variance2341914.8
MonotonicityNot monotonic
2024-04-06T17:46:40.263392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 295
 
17.4%
1 70
 
4.1%
2 41
 
2.4%
3 35
 
2.1%
7 26
 
1.5%
9 25
 
1.5%
5 24
 
1.4%
12 23
 
1.4%
11 22
 
1.3%
4 21
 
1.2%
Other values (355) 1092
64.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 295
17.4%
1 70
 
4.1%
2 41
 
2.4%
3 35
 
2.1%
4 21
 
1.2%
5 24
 
1.4%
6 16
 
0.9%
7 26
 
1.5%
8 17
 
1.0%
9 25
 
1.5%
ValueCountFrequency (%)
51466 1
0.1%
17911 1
0.1%
15491 1
0.1%
15102 1
0.1%
12111 1
0.1%
7864 1
0.1%
7346 1
0.1%
5730 1
0.1%
5483 1
0.1%
4284 1
0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct357
Distinct (%)21.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean180.83274
Minimum0
Maximum47524
Zeros307
Zeros (%)18.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:40.648246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q387.75
95-th percentile415.1
Maximum47524
Range47524
Interquartile range (IQR)85.75

Descriptive statistics

Standard deviation1398.2819
Coefficient of variation (CV)7.73246
Kurtosis807.58354
Mean180.83274
Median Absolute Deviation (MAD)24
Skewness25.62186
Sum302714
Variance1955192.3
MonotonicityNot monotonic
2024-04-06T17:46:41.019924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 307
 
18.1%
1 72
 
4.2%
2 43
 
2.5%
3 37
 
2.2%
4 34
 
2.0%
6 29
 
1.7%
5 27
 
1.6%
8 25
 
1.5%
16 23
 
1.4%
19 22
 
1.3%
Other values (347) 1055
62.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 307
18.1%
1 72
 
4.2%
2 43
 
2.5%
3 37
 
2.2%
4 34
 
2.0%
5 27
 
1.6%
6 29
 
1.7%
7 17
 
1.0%
8 25
 
1.5%
9 21
 
1.2%
ValueCountFrequency (%)
47524 1
0.1%
16088 1
0.1%
14015 1
0.1%
12681 1
0.1%
8629 1
0.1%
8592 1
0.1%
8431 1
0.1%
5196 1
0.1%
4270 1
0.1%
4143 1
0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct346
Distinct (%)20.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean181.76404
Minimum0
Maximum46080
Zeros305
Zeros (%)18.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:41.442959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q392
95-th percentile439.35
Maximum46080
Range46080
Interquartile range (IQR)90

Descriptive statistics

Standard deviation1383.5921
Coefficient of variation (CV)7.6120234
Kurtosis753.20305
Mean181.76404
Median Absolute Deviation (MAD)24
Skewness24.703443
Sum304273
Variance1914327.1
MonotonicityNot monotonic
2024-04-06T17:46:41.878631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 305
 
18.0%
1 73
 
4.3%
2 43
 
2.5%
4 38
 
2.2%
3 29
 
1.7%
8 26
 
1.5%
16 24
 
1.4%
12 23
 
1.4%
6 22
 
1.3%
5 22
 
1.3%
Other values (336) 1069
63.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 305
18.0%
1 73
 
4.3%
2 43
 
2.5%
3 29
 
1.7%
4 38
 
2.2%
5 22
 
1.3%
6 22
 
1.3%
7 20
 
1.2%
8 26
 
1.5%
9 18
 
1.1%
ValueCountFrequency (%)
46080 1
0.1%
18152 1
0.1%
13747 1
0.1%
13313 1
0.1%
9243 1
0.1%
6758 1
0.1%
6534 1
0.1%
6333 1
0.1%
5335 1
0.1%
4740 1
0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct381
Distinct (%)22.8%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean214.30108
Minimum0
Maximum49770
Zeros292
Zeros (%)17.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:42.302353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median28
Q3106
95-th percentile532.7
Maximum49770
Range49770
Interquartile range (IQR)103

Descriptive statistics

Standard deviation1549.89
Coefficient of variation (CV)7.2323014
Kurtosis667.53417
Mean214.30108
Median Absolute Deviation (MAD)28
Skewness23.19954
Sum358740
Variance2402158.9
MonotonicityNot monotonic
2024-04-06T17:46:42.787511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 292
 
17.2%
1 68
 
4.0%
2 38
 
2.2%
3 32
 
1.9%
5 28
 
1.6%
8 27
 
1.6%
6 25
 
1.5%
4 23
 
1.4%
10 21
 
1.2%
11 20
 
1.2%
Other values (371) 1100
64.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 292
17.2%
1 68
 
4.0%
2 38
 
2.2%
3 32
 
1.9%
4 23
 
1.4%
5 28
 
1.6%
6 25
 
1.5%
7 15
 
0.9%
8 27
 
1.6%
9 17
 
1.0%
ValueCountFrequency (%)
49770 1
0.1%
23267 1
0.1%
16537 1
0.1%
14827 1
0.1%
9323 1
0.1%
8404 1
0.1%
7505 1
0.1%
6662 1
0.1%
6364 1
0.1%
6313 1
0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct422
Distinct (%)25.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean264.32557
Minimum0
Maximum67126
Zeros263
Zeros (%)15.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:43.173840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median32
Q3127.75
95-th percentile642.7
Maximum67126
Range67126
Interquartile range (IQR)123.75

Descriptive statistics

Standard deviation2026.3001
Coefficient of variation (CV)7.6659255
Kurtosis745.24583
Mean264.32557
Median Absolute Deviation (MAD)32
Skewness24.6573
Sum442481
Variance4105892.2
MonotonicityNot monotonic
2024-04-06T17:46:43.581203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 263
 
15.5%
1 56
 
3.3%
2 45
 
2.7%
3 36
 
2.1%
5 29
 
1.7%
8 26
 
1.5%
4 24
 
1.4%
9 23
 
1.4%
10 21
 
1.2%
13 21
 
1.2%
Other values (412) 1130
66.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 263
15.5%
1 56
 
3.3%
2 45
 
2.7%
3 36
 
2.1%
4 24
 
1.4%
5 29
 
1.7%
6 19
 
1.1%
7 15
 
0.9%
8 26
 
1.5%
9 23
 
1.4%
ValueCountFrequency (%)
67126 1
0.1%
30062 1
0.1%
18339 1
0.1%
16813 1
0.1%
13986 1
0.1%
12104 1
0.1%
8965 1
0.1%
7218 1
0.1%
7208 1
0.1%
6999 1
0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct339
Distinct (%)20.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean177.53286
Minimum0
Maximum42402
Zeros299
Zeros (%)17.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:44.838688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median23
Q385
95-th percentile422.35
Maximum42402
Range42402
Interquartile range (IQR)83

Descriptive statistics

Standard deviation1317.5224
Coefficient of variation (CV)7.4212876
Kurtosis679.42552
Mean177.53286
Median Absolute Deviation (MAD)23
Skewness23.516078
Sum297190
Variance1735865.2
MonotonicityNot monotonic
2024-04-06T17:46:45.286883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 299
 
17.6%
1 66
 
3.9%
2 57
 
3.4%
3 40
 
2.4%
4 33
 
1.9%
5 30
 
1.8%
6 28
 
1.6%
8 27
 
1.6%
13 26
 
1.5%
7 24
 
1.4%
Other values (329) 1044
61.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 299
17.6%
1 66
 
3.9%
2 57
 
3.4%
3 40
 
2.4%
4 33
 
1.9%
5 30
 
1.8%
6 28
 
1.6%
7 24
 
1.4%
8 27
 
1.6%
9 19
 
1.1%
ValueCountFrequency (%)
42402 1
0.1%
21230 1
0.1%
12919 1
0.1%
11150 1
0.1%
8622 1
0.1%
7070 1
0.1%
6958 1
0.1%
5644 1
0.1%
4528 1
0.1%
4018 1
0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct353
Distinct (%)21.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean183.7037
Minimum0
Maximum43065
Zeros331
Zeros (%)19.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:45.680906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median20
Q384
95-th percentile423.75
Maximum43065
Range43065
Interquartile range (IQR)82

Descriptive statistics

Standard deviation1354.7323
Coefficient of variation (CV)7.3745509
Kurtosis659.02111
Mean183.7037
Median Absolute Deviation (MAD)20
Skewness23.194548
Sum307520
Variance1835299.7
MonotonicityNot monotonic
2024-04-06T17:46:46.071652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 331
 
19.5%
1 73
 
4.3%
2 54
 
3.2%
3 34
 
2.0%
5 34
 
2.0%
8 31
 
1.8%
4 29
 
1.7%
6 26
 
1.5%
7 24
 
1.4%
12 23
 
1.4%
Other values (343) 1015
59.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 331
19.5%
1 73
 
4.3%
2 54
 
3.2%
3 34
 
2.0%
4 29
 
1.7%
5 34
 
2.0%
6 26
 
1.5%
7 24
 
1.4%
8 31
 
1.8%
9 20
 
1.2%
ValueCountFrequency (%)
43065 1
0.1%
23302 1
0.1%
12790 1
0.1%
11027 1
0.1%
8836 1
0.1%
6349 1
0.1%
5842 1
0.1%
5445 1
0.1%
4907 1
0.1%
4735 1
0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct385
Distinct (%)23.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean212.50239
Minimum0
Maximum48827
Zeros311
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:46.466628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q3102
95-th percentile519.35
Maximum48827
Range48827
Interquartile range (IQR)99

Descriptive statistics

Standard deviation1554.8371
Coefficient of variation (CV)7.3167981
Kurtosis635.11496
Mean212.50239
Median Absolute Deviation (MAD)25
Skewness22.791816
Sum355729
Variance2417518.4
MonotonicityNot monotonic
2024-04-06T17:46:46.929720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 311
 
18.3%
1 66
 
3.9%
3 41
 
2.4%
2 36
 
2.1%
6 29
 
1.7%
9 28
 
1.6%
8 28
 
1.6%
4 26
 
1.5%
11 24
 
1.4%
7 22
 
1.3%
Other values (375) 1063
62.6%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 311
18.3%
1 66
 
3.9%
2 36
 
2.1%
3 41
 
2.4%
4 26
 
1.5%
5 22
 
1.3%
6 29
 
1.7%
7 22
 
1.3%
8 28
 
1.6%
9 28
 
1.6%
ValueCountFrequency (%)
48827 1
0.1%
27068 1
0.1%
16465 1
0.1%
12792 1
0.1%
8527 1
0.1%
7969 1
0.1%
7148 1
0.1%
6678 1
0.1%
5489 1
0.1%
5268 1
0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct369
Distinct (%)22.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean195.8399
Minimum0
Maximum44771
Zeros296
Zeros (%)17.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:47.321705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median24
Q3101.75
95-th percentile468
Maximum44771
Range44771
Interquartile range (IQR)99.75

Descriptive statistics

Standard deviation1414.663
Coefficient of variation (CV)7.2235688
Kurtosis644.14306
Mean195.8399
Median Absolute Deviation (MAD)24
Skewness22.889198
Sum327836
Variance2001271.5
MonotonicityNot monotonic
2024-04-06T17:46:47.760267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 296
 
17.4%
1 77
 
4.5%
2 48
 
2.8%
3 41
 
2.4%
6 33
 
1.9%
10 30
 
1.8%
7 26
 
1.5%
4 25
 
1.5%
9 24
 
1.4%
14 20
 
1.2%
Other values (359) 1054
62.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 296
17.4%
1 77
 
4.5%
2 48
 
2.8%
3 41
 
2.4%
4 25
 
1.5%
5 20
 
1.2%
6 33
 
1.9%
7 26
 
1.5%
8 15
 
0.9%
9 24
 
1.4%
ValueCountFrequency (%)
44771 1
0.1%
23379 1
0.1%
14780 1
0.1%
12716 1
0.1%
8776 1
0.1%
7276 1
0.1%
6893 1
0.1%
6739 1
0.1%
5488 1
0.1%
4258 1
0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct361
Distinct (%)21.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean191.96296
Minimum0
Maximum49250
Zeros278
Zeros (%)16.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:48.187893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median25
Q393
95-th percentile464.4
Maximum49250
Range49250
Interquartile range (IQR)90

Descriptive statistics

Standard deviation1472.3335
Coefficient of variation (CV)7.6698831
Kurtosis765.49281
Mean191.96296
Median Absolute Deviation (MAD)25
Skewness24.942957
Sum321346
Variance2167765.9
MonotonicityNot monotonic
2024-04-06T17:46:48.595486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 278
 
16.4%
1 77
 
4.5%
2 49
 
2.9%
4 35
 
2.1%
3 32
 
1.9%
14 27
 
1.6%
5 27
 
1.6%
10 25
 
1.5%
6 24
 
1.4%
15 22
 
1.3%
Other values (351) 1078
63.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 278
16.4%
1 77
 
4.5%
2 49
 
2.9%
3 32
 
1.9%
4 35
 
2.1%
5 27
 
1.6%
6 24
 
1.4%
7 16
 
0.9%
8 20
 
1.2%
9 16
 
0.9%
ValueCountFrequency (%)
49250 1
0.1%
19157 1
0.1%
14996 1
0.1%
13347 1
0.1%
10931 1
0.1%
6915 1
0.1%
6902 1
0.1%
5883 1
0.1%
5150 1
0.1%
4846 1
0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct344
Distinct (%)20.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean193.47551
Minimum0
Maximum54141
Zeros310
Zeros (%)18.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:49.000554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q388
95-th percentile463
Maximum54141
Range54141
Interquartile range (IQR)85

Descriptive statistics

Standard deviation1556.7216
Coefficient of variation (CV)8.0460912
Kurtosis877.34264
Mean193.47551
Median Absolute Deviation (MAD)23
Skewness26.771283
Sum323878
Variance2423382.1
MonotonicityNot monotonic
2024-04-06T17:46:49.403931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 310
 
18.3%
1 66
 
3.9%
3 47
 
2.8%
2 42
 
2.5%
5 32
 
1.9%
4 31
 
1.8%
10 25
 
1.5%
17 25
 
1.5%
12 23
 
1.4%
8 23
 
1.4%
Other values (334) 1050
61.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 310
18.3%
1 66
 
3.9%
2 42
 
2.5%
3 47
 
2.8%
4 31
 
1.8%
5 32
 
1.9%
6 17
 
1.0%
7 20
 
1.2%
8 23
 
1.4%
9 18
 
1.1%
ValueCountFrequency (%)
54141 1
0.1%
16499 1
0.1%
13318 1
0.1%
12652 1
0.1%
9698 1
0.1%
8318 1
0.1%
8276 1
0.1%
7655 1
0.1%
5927 1
0.1%
5878 1
0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct329
Distinct (%)19.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean156.3632
Minimum0
Maximum42997
Zeros338
Zeros (%)19.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:49.790529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median19
Q374
95-th percentile427.7
Maximum42997
Range42997
Interquartile range (IQR)72

Descriptive statistics

Standard deviation1235.7726
Coefficient of variation (CV)7.9032187
Kurtosis879.66867
Mean156.3632
Median Absolute Deviation (MAD)19
Skewness26.847594
Sum261752
Variance1527133.9
MonotonicityNot monotonic
2024-04-06T17:46:50.158256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 338
 
19.9%
1 64
 
3.8%
3 61
 
3.6%
2 51
 
3.0%
4 33
 
1.9%
8 30
 
1.8%
13 25
 
1.5%
19 25
 
1.5%
11 24
 
1.4%
15 23
 
1.4%
Other values (319) 1000
58.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 338
19.9%
1 64
 
3.8%
2 51
 
3.0%
3 61
 
3.6%
4 33
 
1.9%
5 22
 
1.3%
6 23
 
1.4%
7 22
 
1.3%
8 30
 
1.8%
9 17
 
1.0%
ValueCountFrequency (%)
42997 1
0.1%
13777 1
0.1%
10564 1
0.1%
9691 1
0.1%
7215 1
0.1%
6876 1
0.1%
6223 1
0.1%
5704 1
0.1%
5428 1
0.1%
5022 1
0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct307
Distinct (%)18.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean146.33572
Minimum0
Maximum39926
Zeros350
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:50.597280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q366
95-th percentile342.35
Maximum39926
Range39926
Interquartile range (IQR)65

Descriptive statistics

Standard deviation1158.895
Coefficient of variation (CV)7.9194267
Kurtosis849.96865
Mean146.33572
Median Absolute Deviation (MAD)17
Skewness26.361472
Sum244966
Variance1343037.7
MonotonicityNot monotonic
2024-04-06T17:46:51.028229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 350
 
20.6%
1 79
 
4.7%
2 46
 
2.7%
4 40
 
2.4%
3 32
 
1.9%
9 32
 
1.9%
5 32
 
1.9%
7 27
 
1.6%
8 26
 
1.5%
13 25
 
1.5%
Other values (297) 985
58.0%
ValueCountFrequency (%)
0 350
20.6%
1 79
 
4.7%
2 46
 
2.7%
3 32
 
1.9%
4 40
 
2.4%
5 32
 
1.9%
6 24
 
1.4%
7 27
 
1.6%
8 26
 
1.5%
9 32
 
1.9%
ValueCountFrequency (%)
39926 1
0.1%
14047 1
0.1%
10208 1
0.1%
9612 1
0.1%
5953 1
0.1%
5781 1
0.1%
5506 1
0.1%
5190 1
0.1%
5105 1
0.1%
4432 1
0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct296
Distinct (%)17.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean132.39427
Minimum0
Maximum38168
Zeros346
Zeros (%)20.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:51.504004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q358
95-th percentile330.15
Maximum38168
Range38168
Interquartile range (IQR)57

Descriptive statistics

Standard deviation1086.8835
Coefficient of variation (CV)8.2094454
Kurtosis911.33385
Mean132.39427
Median Absolute Deviation (MAD)14
Skewness27.420926
Sum221628
Variance1181315.7
MonotonicityNot monotonic
2024-04-06T17:46:51.940375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 346
 
20.4%
1 94
 
5.5%
2 60
 
3.5%
4 46
 
2.7%
7 39
 
2.3%
3 35
 
2.1%
5 30
 
1.8%
12 29
 
1.7%
14 27
 
1.6%
9 26
 
1.5%
Other values (286) 942
55.5%
ValueCountFrequency (%)
0 346
20.4%
1 94
 
5.5%
2 60
 
3.5%
3 35
 
2.1%
4 46
 
2.7%
5 30
 
1.8%
6 22
 
1.3%
7 39
 
2.3%
8 25
 
1.5%
9 26
 
1.5%
ValueCountFrequency (%)
38168 1
0.1%
11846 1
0.1%
9125 1
0.1%
8029 1
0.1%
5965 1
0.1%
5749 1
0.1%
5692 1
0.1%
5206 1
0.1%
4514 1
0.1%
4177 1
0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)18.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean142.86738
Minimum0
Maximum41925
Zeros370
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:52.483843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q359
95-th percentile304.35
Maximum41925
Range41925
Interquartile range (IQR)58

Descriptive statistics

Standard deviation1203.9156
Coefficient of variation (CV)8.426805
Kurtosis884.27285
Mean142.86738
Median Absolute Deviation (MAD)14
Skewness26.966319
Sum239160
Variance1449412.7
MonotonicityNot monotonic
2024-04-06T17:46:52.927640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 370
 
21.8%
1 80
 
4.7%
3 52
 
3.1%
2 52
 
3.1%
7 34
 
2.0%
4 33
 
1.9%
8 30
 
1.8%
6 28
 
1.6%
11 27
 
1.6%
5 26
 
1.5%
Other values (294) 942
55.5%
ValueCountFrequency (%)
0 370
21.8%
1 80
 
4.7%
2 52
 
3.1%
3 52
 
3.1%
4 33
 
1.9%
5 26
 
1.5%
6 28
 
1.6%
7 34
 
2.0%
8 30
 
1.8%
9 26
 
1.5%
ValueCountFrequency (%)
41925 1
0.1%
13707 1
0.1%
10478 1
0.1%
9178 1
0.1%
7830 1
0.1%
6295 1
0.1%
5647 1
0.1%
5368 1
0.1%
4086 1
0.1%
4061 1
0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct299
Distinct (%)17.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean139.75926
Minimum0
Maximum37579
Zeros363
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:53.328431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q365
95-th percentile337.05
Maximum37579
Range37579
Interquartile range (IQR)64

Descriptive statistics

Standard deviation1112.0755
Coefficient of variation (CV)7.9570789
Kurtosis797.47821
Mean139.75926
Median Absolute Deviation (MAD)14
Skewness25.544469
Sum233957
Variance1236711.8
MonotonicityNot monotonic
2024-04-06T17:46:53.843821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 363
 
21.4%
1 85
 
5.0%
2 54
 
3.2%
4 45
 
2.7%
3 41
 
2.4%
6 36
 
2.1%
9 32
 
1.9%
7 32
 
1.9%
5 31
 
1.8%
8 30
 
1.8%
Other values (289) 925
54.5%
ValueCountFrequency (%)
0 363
21.4%
1 85
 
5.0%
2 54
 
3.2%
3 41
 
2.4%
4 45
 
2.7%
5 31
 
1.8%
6 36
 
2.1%
7 32
 
1.9%
8 30
 
1.8%
9 32
 
1.9%
ValueCountFrequency (%)
37579 1
0.1%
15633 1
0.1%
9543 1
0.1%
8094 1
0.1%
7777 1
0.1%
6279 1
0.1%
5552 1
0.1%
4401 1
0.1%
3639 1
0.1%
3559 1
0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct304
Distinct (%)18.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean172.01254
Minimum0
Maximum56414
Zeros350
Zeros (%)20.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:54.387574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q362
95-th percentile378.45
Maximum56414
Range56414
Interquartile range (IQR)61

Descriptive statistics

Standard deviation1599.7562
Coefficient of variation (CV)9.3002301
Kurtosis929.67828
Mean172.01254
Median Absolute Deviation (MAD)15
Skewness27.876999
Sum287949
Variance2559220
MonotonicityNot monotonic
2024-04-06T17:46:54.881985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 350
 
20.6%
1 80
 
4.7%
3 60
 
3.5%
2 47
 
2.8%
6 37
 
2.2%
5 35
 
2.1%
4 32
 
1.9%
7 32
 
1.9%
8 29
 
1.7%
12 28
 
1.6%
Other values (294) 944
55.6%
ValueCountFrequency (%)
0 350
20.6%
1 80
 
4.7%
2 47
 
2.8%
3 60
 
3.5%
4 32
 
1.9%
5 35
 
2.1%
6 37
 
2.2%
7 32
 
1.9%
8 29
 
1.7%
9 24
 
1.4%
ValueCountFrequency (%)
56414 1
0.1%
17530 1
0.1%
14348 1
0.1%
12807 1
0.1%
9539 1
0.1%
9218 1
0.1%
7935 1
0.1%
6202 1
0.1%
4862 1
0.1%
4741 1
0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct268
Distinct (%)16.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean108.77718
Minimum0
Maximum29638
Zeros413
Zeros (%)24.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:55.259987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median10
Q348
95-th percentile264
Maximum29638
Range29638
Interquartile range (IQR)47

Descriptive statistics

Standard deviation897.96298
Coefficient of variation (CV)8.2550676
Kurtosis740.99625
Mean108.77718
Median Absolute Deviation (MAD)10
Skewness24.745462
Sum182093
Variance806337.51
MonotonicityNot monotonic
2024-04-06T17:46:56.337457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 413
24.3%
1 84
 
4.9%
3 58
 
3.4%
4 52
 
3.1%
2 51
 
3.0%
5 37
 
2.2%
7 34
 
2.0%
9 33
 
1.9%
6 27
 
1.6%
10 27
 
1.6%
Other values (258) 858
50.5%
ValueCountFrequency (%)
0 413
24.3%
1 84
 
4.9%
2 51
 
3.0%
3 58
 
3.4%
4 52
 
3.1%
5 37
 
2.2%
6 27
 
1.6%
7 34
 
2.0%
8 24
 
1.4%
9 33
 
1.9%
ValueCountFrequency (%)
29638 1
0.1%
13229 1
0.1%
10694 1
0.1%
6573 1
0.1%
6221 1
0.1%
4050 1
0.1%
3486 1
0.1%
3087 1
0.1%
2994 1
0.1%
2739 1
0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct306
Distinct (%)18.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean137.7945
Minimum0
Maximum34819
Zeros391
Zeros (%)23.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:56.747281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q363
95-th percentile326.7
Maximum34819
Range34819
Interquartile range (IQR)62

Descriptive statistics

Standard deviation1078.8261
Coefficient of variation (CV)7.8292392
Kurtosis704.62171
Mean137.7945
Median Absolute Deviation (MAD)13
Skewness24.18332
Sum230668
Variance1163865.8
MonotonicityNot monotonic
2024-04-06T17:46:57.203287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 391
23.0%
1 79
 
4.7%
2 60
 
3.5%
6 37
 
2.2%
3 35
 
2.1%
9 34
 
2.0%
4 30
 
1.8%
8 30
 
1.8%
13 28
 
1.6%
15 25
 
1.5%
Other values (296) 925
54.5%
ValueCountFrequency (%)
0 391
23.0%
1 79
 
4.7%
2 60
 
3.5%
3 35
 
2.1%
4 30
 
1.8%
5 25
 
1.5%
6 37
 
2.2%
7 23
 
1.4%
8 30
 
1.8%
9 34
 
2.0%
ValueCountFrequency (%)
34819 1
0.1%
19494 1
0.1%
8423 1
0.1%
7238 1
0.1%
5494 1
0.1%
5371 1
0.1%
4871 1
0.1%
4603 1
0.1%
3911 1
0.1%
3821 1
0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct321
Distinct (%)19.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean148.52569
Minimum0
Maximum34166
Zeros360
Zeros (%)21.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:57.611943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q368
95-th percentile349.75
Maximum34166
Range34166
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1116.6491
Coefficient of variation (CV)7.5182219
Kurtosis609.56018
Mean148.52569
Median Absolute Deviation (MAD)16
Skewness22.564554
Sum248632
Variance1246905.2
MonotonicityNot monotonic
2024-04-06T17:46:58.082187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 360
 
21.2%
1 74
 
4.4%
3 50
 
2.9%
2 49
 
2.9%
5 42
 
2.5%
4 32
 
1.9%
16 26
 
1.5%
8 25
 
1.5%
9 24
 
1.4%
10 24
 
1.4%
Other values (311) 968
57.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 360
21.2%
1 74
 
4.4%
2 49
 
2.9%
3 50
 
2.9%
4 32
 
1.9%
5 42
 
2.5%
6 19
 
1.1%
7 16
 
0.9%
8 25
 
1.5%
9 24
 
1.4%
ValueCountFrequency (%)
34166 1
0.1%
21969 1
0.1%
10559 1
0.1%
8799 1
0.1%
6678 1
0.1%
5082 1
0.1%
4725 1
0.1%
4509 1
0.1%
4488 1
0.1%
3844 1
0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct312
Distinct (%)18.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean137.819
Minimum0
Maximum31429
Zeros356
Zeros (%)21.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:58.536098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q367
95-th percentile335.35
Maximum31429
Range31429
Interquartile range (IQR)66

Descriptive statistics

Standard deviation1033.1096
Coefficient of variation (CV)7.4961338
Kurtosis601.02547
Mean137.819
Median Absolute Deviation (MAD)15
Skewness22.438725
Sum230709
Variance1067315.5
MonotonicityNot monotonic
2024-04-06T17:46:58.938241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 356
 
21.0%
1 93
 
5.5%
2 53
 
3.1%
3 40
 
2.4%
4 31
 
1.8%
6 29
 
1.7%
12 28
 
1.6%
11 28
 
1.6%
10 28
 
1.6%
5 27
 
1.6%
Other values (302) 961
56.6%
ValueCountFrequency (%)
0 356
21.0%
1 93
 
5.5%
2 53
 
3.1%
3 40
 
2.4%
4 31
 
1.8%
5 27
 
1.6%
6 29
 
1.7%
7 25
 
1.5%
8 20
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
31429 1
0.1%
20435 1
0.1%
10367 1
0.1%
8504 1
0.1%
5577 1
0.1%
5121 1
0.1%
4126 1
0.1%
3767 1
0.1%
3699 1
0.1%
3612 1
0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct318
Distinct (%)19.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean157.14576
Minimum0
Maximum44559
Zeros337
Zeros (%)19.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:46:59.333588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q371
95-th percentile368.7
Maximum44559
Range44559
Interquartile range (IQR)70

Descriptive statistics

Standard deviation1279.0162
Coefficient of variation (CV)8.1390438
Kurtosis886.60337
Mean157.14576
Median Absolute Deviation (MAD)17
Skewness27.024982
Sum263062
Variance1635882.5
MonotonicityNot monotonic
2024-04-06T17:46:59.742185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 337
 
19.8%
1 88
 
5.2%
2 51
 
3.0%
3 41
 
2.4%
5 32
 
1.9%
4 31
 
1.8%
6 29
 
1.7%
15 27
 
1.6%
8 27
 
1.6%
9 27
 
1.6%
Other values (308) 984
58.0%
ValueCountFrequency (%)
0 337
19.8%
1 88
 
5.2%
2 51
 
3.0%
3 41
 
2.4%
4 31
 
1.8%
5 32
 
1.9%
6 29
 
1.7%
7 24
 
1.4%
8 27
 
1.6%
9 27
 
1.6%
ValueCountFrequency (%)
44559 1
0.1%
15467 1
0.1%
9923 1
0.1%
9247 1
0.1%
9134 1
0.1%
5879 1
0.1%
5398 1
0.1%
5303 1
0.1%
5025 1
0.1%
4962 1
0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct306
Distinct (%)18.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean166.32796
Minimum0
Maximum54167
Zeros353
Zeros (%)20.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:00.337382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median17
Q364
95-th percentile373.75
Maximum54167
Range54167
Interquartile range (IQR)63

Descriptive statistics

Standard deviation1524.5402
Coefficient of variation (CV)9.1658686
Kurtosis954.17552
Mean166.32796
Median Absolute Deviation (MAD)17
Skewness28.23072
Sum278433
Variance2324222.8
MonotonicityNot monotonic
2024-04-06T17:47:00.753181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 353
 
20.8%
1 77
 
4.5%
2 62
 
3.7%
3 47
 
2.8%
4 35
 
2.1%
6 34
 
2.0%
5 31
 
1.8%
8 24
 
1.4%
9 23
 
1.4%
12 21
 
1.2%
Other values (296) 967
56.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 353
20.8%
1 77
 
4.5%
2 62
 
3.7%
3 47
 
2.8%
4 35
 
2.1%
5 31
 
1.8%
6 34
 
2.0%
7 18
 
1.1%
8 24
 
1.4%
9 23
 
1.4%
ValueCountFrequency (%)
54167 1
0.1%
15389 1
0.1%
13491 1
0.1%
9773 1
0.1%
9172 1
0.1%
8919 1
0.1%
8899 1
0.1%
6690 1
0.1%
5707 1
0.1%
4412 1
0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct277
Distinct (%)16.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean111.22103
Minimum0
Maximum28837
Zeros375
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:01.141330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q355
95-th percentile291.7
Maximum28837
Range28837
Interquartile range (IQR)54

Descriptive statistics

Standard deviation851.18823
Coefficient of variation (CV)7.6531233
Kurtosis801.14257
Mean111.22103
Median Absolute Deviation (MAD)15
Skewness25.564737
Sum186184
Variance724521.41
MonotonicityNot monotonic
2024-04-06T17:47:01.654575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375
 
22.1%
1 77
 
4.5%
2 54
 
3.2%
3 47
 
2.8%
7 35
 
2.1%
6 31
 
1.8%
4 31
 
1.8%
8 28
 
1.6%
11 26
 
1.5%
10 26
 
1.5%
Other values (267) 944
55.6%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 375
22.1%
1 77
 
4.5%
2 54
 
3.2%
3 47
 
2.8%
4 31
 
1.8%
5 20
 
1.2%
6 31
 
1.8%
7 35
 
2.1%
8 28
 
1.6%
9 23
 
1.4%
ValueCountFrequency (%)
28837 1
0.1%
10944 1
0.1%
8300 1
0.1%
7463 1
0.1%
5006 1
0.1%
4554 1
0.1%
3802 1
0.1%
3474 1
0.1%
3111 1
0.1%
3062 1
0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct280
Distinct (%)16.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean121.22581
Minimum0
Maximum35103
Zeros363
Zeros (%)21.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:02.087911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median14
Q350
95-th percentile321.4
Maximum35103
Range35103
Interquartile range (IQR)49

Descriptive statistics

Standard deviation1001.94
Coefficient of variation (CV)8.2650715
Kurtosis902.93053
Mean121.22581
Median Absolute Deviation (MAD)14
Skewness27.262164
Sum202932
Variance1003883.7
MonotonicityNot monotonic
2024-04-06T17:47:02.480286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 363
 
21.4%
1 82
 
4.8%
2 51
 
3.0%
4 38
 
2.2%
3 37
 
2.2%
7 33
 
1.9%
9 32
 
1.9%
12 29
 
1.7%
5 29
 
1.7%
6 29
 
1.7%
Other values (270) 951
56.0%
ValueCountFrequency (%)
0 363
21.4%
1 82
 
4.8%
2 51
 
3.0%
3 37
 
2.2%
4 38
 
2.2%
5 29
 
1.7%
6 29
 
1.7%
7 33
 
1.9%
8 26
 
1.5%
9 32
 
1.9%
ValueCountFrequency (%)
35103 1
0.1%
10732 1
0.1%
8062 1
0.1%
7619 1
0.1%
7031 1
0.1%
5647 1
0.1%
4631 1
0.1%
4187 1
0.1%
3951 1
0.1%
3702 1
0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct268
Distinct (%)16.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean102.18757
Minimum0
Maximum27639
Zeros383
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:02.953478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13
Q347
95-th percentile282.5
Maximum27639
Range27639
Interquartile range (IQR)46

Descriptive statistics

Standard deviation800.4863
Coefficient of variation (CV)7.8334993
Kurtosis856.27221
Mean102.18757
Median Absolute Deviation (MAD)13
Skewness26.478727
Sum171062
Variance640778.31
MonotonicityNot monotonic
2024-04-06T17:47:03.334590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
22.6%
1 68
 
4.0%
2 50
 
2.9%
3 45
 
2.7%
5 42
 
2.5%
4 37
 
2.2%
11 35
 
2.1%
7 32
 
1.9%
6 31
 
1.8%
10 31
 
1.8%
Other values (258) 920
54.2%
ValueCountFrequency (%)
0 383
22.6%
1 68
 
4.0%
2 50
 
2.9%
3 45
 
2.7%
4 37
 
2.2%
5 42
 
2.5%
6 31
 
1.8%
7 32
 
1.9%
8 21
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
27639 1
0.1%
9355 1
0.1%
7005 1
0.1%
6985 1
0.1%
4460 1
0.1%
4400 1
0.1%
4100 1
0.1%
3531 1
0.1%
2999 1
0.1%
2898 1
0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct261
Distinct (%)15.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean133.94444
Minimum0
Maximum43599
Zeros392
Zeros (%)23.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:03.705884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q351
95-th percentile248.7
Maximum43599
Range43599
Interquartile range (IQR)50

Descriptive statistics

Standard deviation1285.2392
Coefficient of variation (CV)9.5953153
Kurtosis813.95348
Mean133.94444
Median Absolute Deviation (MAD)12
Skewness26.06327
Sum224223
Variance1651839.7
MonotonicityNot monotonic
2024-04-06T17:47:04.066533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 392
23.1%
1 78
 
4.6%
2 54
 
3.2%
3 50
 
2.9%
4 44
 
2.6%
7 36
 
2.1%
12 35
 
2.1%
9 31
 
1.8%
11 30
 
1.8%
15 28
 
1.6%
Other values (251) 896
52.8%
ValueCountFrequency (%)
0 392
23.1%
1 78
 
4.6%
2 54
 
3.2%
3 50
 
2.9%
4 44
 
2.6%
5 20
 
1.2%
6 25
 
1.5%
7 36
 
2.1%
8 23
 
1.4%
9 31
 
1.8%
ValueCountFrequency (%)
43599 1
0.1%
17267 1
0.1%
14287 1
0.1%
10744 1
0.1%
7373 1
0.1%
6881 1
0.1%
6769 1
0.1%
4973 1
0.1%
4384 1
0.1%
3249 1
0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)17.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean127.64636
Minimum0
Maximum33716
Zeros355
Zeros (%)20.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:04.449909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median16
Q361
95-th percentile322.4
Maximum33716
Range33716
Interquartile range (IQR)60

Descriptive statistics

Standard deviation997.65257
Coefficient of variation (CV)7.8157544
Kurtosis794.77158
Mean127.64636
Median Absolute Deviation (MAD)16
Skewness25.445424
Sum213680
Variance995310.65
MonotonicityNot monotonic
2024-04-06T17:47:04.864181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 355
 
20.9%
1 74
 
4.4%
3 53
 
3.1%
2 42
 
2.5%
4 36
 
2.1%
6 34
 
2.0%
9 32
 
1.9%
17 31
 
1.8%
18 30
 
1.8%
12 29
 
1.7%
Other values (284) 958
56.4%
ValueCountFrequency (%)
0 355
20.9%
1 74
 
4.4%
2 42
 
2.5%
3 53
 
3.1%
4 36
 
2.1%
5 27
 
1.6%
6 34
 
2.0%
7 26
 
1.5%
8 20
 
1.2%
9 32
 
1.9%
ValueCountFrequency (%)
33716 1
0.1%
13392 1
0.1%
8700 1
0.1%
7613 1
0.1%
7071 1
0.1%
6466 1
0.1%
4871 1
0.1%
4058 1
0.1%
3930 1
0.1%
2877 1
0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct300
Distinct (%)17.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean131.25388
Minimum0
Maximum35012
Zeros361
Zeros (%)21.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:05.253745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median15
Q359.75
95-th percentile342.35
Maximum35012
Range35012
Interquartile range (IQR)58.75

Descriptive statistics

Standard deviation1033.9608
Coefficient of variation (CV)7.8775632
Kurtosis803.6381
Mean131.25388
Median Absolute Deviation (MAD)15
Skewness25.66944
Sum219719
Variance1069074.9
MonotonicityNot monotonic
2024-04-06T17:47:05.832637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 361
 
21.3%
1 69
 
4.1%
2 57
 
3.4%
5 47
 
2.8%
4 43
 
2.5%
3 42
 
2.5%
9 31
 
1.8%
15 29
 
1.7%
8 28
 
1.6%
10 27
 
1.6%
Other values (290) 940
55.4%
ValueCountFrequency (%)
0 361
21.3%
1 69
 
4.1%
2 57
 
3.4%
3 42
 
2.5%
4 43
 
2.5%
5 47
 
2.8%
6 26
 
1.5%
7 26
 
1.5%
8 28
 
1.6%
9 31
 
1.8%
ValueCountFrequency (%)
35012 1
0.1%
14494 1
0.1%
8936 1
0.1%
8127 1
0.1%
6367 1
0.1%
5686 1
0.1%
4548 1
0.1%
4476 1
0.1%
4426 1
0.1%
3455 1
0.1%

2024-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct289
Distinct (%)17.1%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean123.12707
Minimum0
Maximum27855
Zeros375
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:06.306886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median13.5
Q359
95-th percentile297.35
Maximum27855
Range27855
Interquartile range (IQR)58

Descriptive statistics

Standard deviation909.40093
Coefficient of variation (CV)7.3858733
Kurtosis599.49841
Mean123.12707
Median Absolute Deviation (MAD)13.5
Skewness22.262913
Sum208331
Variance827010.06
MonotonicityNot monotonic
2024-04-06T17:47:07.321548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 375
22.1%
1 87
 
5.1%
2 59
 
3.5%
8 45
 
2.7%
3 39
 
2.3%
4 38
 
2.2%
5 34
 
2.0%
7 32
 
1.9%
9 28
 
1.6%
6 26
 
1.5%
Other values (279) 929
54.7%
ValueCountFrequency (%)
0 375
22.1%
1 87
 
5.1%
2 59
 
3.5%
3 39
 
2.3%
4 38
 
2.2%
5 34
 
2.0%
6 26
 
1.5%
7 32
 
1.9%
8 45
 
2.7%
9 28
 
1.6%
ValueCountFrequency (%)
27855 1
0.1%
17525 1
0.1%
8532 1
0.1%
7839 1
0.1%
5878 1
0.1%
4730 1
0.1%
4721 1
0.1%
3699 1
0.1%
3367 1
0.1%
3180 1
0.1%

2024-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct279
Distinct (%)16.5%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean110.67494
Minimum0
Maximum26195
Zeros384
Zeros (%)22.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:47:07.708284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median12
Q348.25
95-th percentile300
Maximum26195
Range26195
Interquartile range (IQR)47.25

Descriptive statistics

Standard deviation849.12375
Coefficient of variation (CV)7.6722313
Kurtosis638.95422
Mean110.67494
Median Absolute Deviation (MAD)12
Skewness23.259954
Sum187262
Variance721011.14
MonotonicityNot monotonic
2024-04-06T17:47:08.195632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
22.6%
1 90
 
5.3%
2 60
 
3.5%
3 41
 
2.4%
7 39
 
2.3%
8 34
 
2.0%
6 33
 
1.9%
9 33
 
1.9%
5 31
 
1.8%
4 28
 
1.6%
Other values (269) 919
54.1%
ValueCountFrequency (%)
0 384
22.6%
1 90
 
5.3%
2 60
 
3.5%
3 41
 
2.4%
4 28
 
1.6%
5 31
 
1.8%
6 33
 
1.9%
7 39
 
2.3%
8 34
 
2.0%
9 33
 
1.9%
ValueCountFrequency (%)
26195 1
0.1%
17657 1
0.1%
7173 1
0.1%
5328 1
0.1%
4712 1
0.1%
4254 1
0.1%
3367 1
0.1%
3264 1
0.1%
3102 1
0.1%
3085 1
0.1%

Sample

지역 및 토지2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
0전국 /전12685101281304413574130081028412118106489251110411093312731107011200314875132401253014637142591193012617130071507617699142831360720400202301732517121158461510212681137471653718339129191279016465147801499612652105641020891259178954392186221842310559103679923917283007619700573738700893685327173
1전국 /답234552018126853239692002715601170251456213354176142082123531206902625528971363841956520769196581765017108180632456632464260442624637669311922282821697186641791116088181522326730062212302330227068233791915716499137771404711846137071563314348132291949421969204351546713491109441073293551074413392144941752517657
2전국 /대지11806105891219013595134631229412183106181003612273155831792813983147631555613070139991928118474127931355914061156961994714669143471864720364187291843415822154911401513313148271681311150110271279212716133471331896919612802978308094953965737238879985049134889974638062698568817613812778395328
3전국 /임야4932837783473145941458554466064601043419380894125442613486393428846235483394512851160619564918439014481504113647977588173742039768567035986857078577495094651466475244608049770671264240243065488274477149250541414299739926381684192537579564142963834819341663142944559541672883735103276394359933716350122785526195
4전국 /공장18151534228119952589349119642091266620512256272919112680311726112514248727002303307827542787409633572975355337823785381841493233358525403996425230823005346233233495306026012136165822032007170913371925196118542825207420902006178016032407173828681721
5전국 /기타55155001460149944846401845123593360936885244605735446051478557103839476660345256526850015179897948475647621771955292550179745483411953358404721856446349714872764508592757043949342635033639342426593002361027594356338130622659289827533930345533673085
6서울 /전61265161112910201987591082252178961624161921112915961048131412102151077103134542168116112112
7서울 /답101178189177312491051085121016798122418444114681415946163114536716121924213002181141264644
8서울 /대지50733944249557593577577874886295012401071127295465163711211354920738646670980725774925836899814766685625520549642416356410548627708429329326224194176157224309292393366332353343363281272270307
9서울 /임야1763788827773743625424427734394737122043111733366143159873592285346166132202063114561817519352214471225325832310201126
지역 및 토지2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
1688제주 제주시/대지173122140164132134136166127138171224161140157118134259192160148131156181156174208182232239633190165176262305161163220230218193197165155115162142173122151108118130122182991001151059165
1689제주 제주시/임야379286342328250213603307241214162251126358258348211396531286229228211381383218298252265356389364413355580450153155190296311474614196132148166366122190373162169260183171339188306369296131
1690제주 제주시/공장863151013300010101103007001009176000129095132016302222001012025910000
1691제주 제주시/기타11073171137891884371703401098933681143748288911581251125515923716114810519019814379724331317816419363138154119143186513814912015477589469104431201239211381517756110122
1692제주 서귀포시/전297168137174141133179179134137149158124114138198128117145182178132113216126192217221202183277190921801902022201161971912241871421601861121809214011517091144124691321268916113190121
1693제주 서귀포시/답2293965111241221135891603274101571311131710463517927234150084211030210
1694제주 서귀포시/대지72856454463555482657399439503731366155474158748063639669991279711495134841136853135109105101615451393948651109693678455875444775411640
1695제주 서귀포시/임야22821716767535317234238510427826314923818322260923222519211913014820652517133026128914729234320431510528728119015724313422314721421323296165153139288200101882792607140011819317323882
1696제주 서귀포시/공장00000120000002620000020301000000035341010000000000001027001230
1697제주 서귀포시/기타9089112102158833069675110911116513514999957310088598510011414219417516011898133172118121122144105721501941481239313395869860291861229545105271328063721896770