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(필지수) 데이터입니다.-(단위 : 필지수)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068031/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 = 29.71541846)Skewed
2019-02 is highly skewed (γ1 = 30.51944983)Skewed
2019-03 is highly skewed (γ1 = 30.16860585)Skewed
2019-04 is highly skewed (γ1 = 30.73123823)Skewed
2019-05 is highly skewed (γ1 = 30.8412487)Skewed
2019-06 is highly skewed (γ1 = 31.67601947)Skewed
2019-07 is highly skewed (γ1 = 31.78233209)Skewed
2019-08 is highly skewed (γ1 = 32.03391577)Skewed
2019-09 is highly skewed (γ1 = 32.53473554)Skewed
2019-10 is highly skewed (γ1 = 32.63773511)Skewed
2019-11 is highly skewed (γ1 = 32.70484818)Skewed
2019-12 is highly skewed (γ1 = 32.91297071)Skewed
2020-01 is highly skewed (γ1 = 32.78384655)Skewed
2020-02 is highly skewed (γ1 = 32.38813554)Skewed
2020-03 is highly skewed (γ1 = 32.03201646)Skewed
2020-04 is highly skewed (γ1 = 31.88667831)Skewed
2020-05 is highly skewed (γ1 = 32.60041632)Skewed
2020-06 is highly skewed (γ1 = 33.02021064)Skewed
2020-07 is highly skewed (γ1 = 32.97086235)Skewed
2020-08 is highly skewed (γ1 = 32.68318807)Skewed
2020-09 is highly skewed (γ1 = 32.61593589)Skewed
2020-10 is highly skewed (γ1 = 33.02542088)Skewed
2020-11 is highly skewed (γ1 = 33.56494965)Skewed
2020-12 is highly skewed (γ1 = 33.09405058)Skewed
2021-01 is highly skewed (γ1 = 32.14512867)Skewed
2021-02 is highly skewed (γ1 = 32.10018684)Skewed
2021-03 is highly skewed (γ1 = 31.5888526)Skewed
2021-04 is highly skewed (γ1 = 31.63027258)Skewed
2021-05 is highly skewed (γ1 = 32.52466056)Skewed
2021-06 is highly skewed (γ1 = 32.30049792)Skewed
2021-07 is highly skewed (γ1 = 32.37666172)Skewed
2021-08 is highly skewed (γ1 = 32.58821522)Skewed
2021-09 is highly skewed (γ1 = 32.86519426)Skewed
2021-10 is highly skewed (γ1 = 32.57964565)Skewed
2021-11 is highly skewed (γ1 = 31.62026597)Skewed
2021-12 is highly skewed (γ1 = 29.42948495)Skewed
2022-01 is highly skewed (γ1 = 30.08979179)Skewed
2022-02 is highly skewed (γ1 = 30.40515342)Skewed
2022-03 is highly skewed (γ1 = 30.67122419)Skewed
2022-04 is highly skewed (γ1 = 31.30470676)Skewed
2022-05 is highly skewed (γ1 = 31.74352972)Skewed
2022-06 is highly skewed (γ1 = 31.17627009)Skewed
2022-07 is highly skewed (γ1 = 30.43705012)Skewed
2022-08 is highly skewed (γ1 = 30.56750374)Skewed
2022-09 is highly skewed (γ1 = 30.78767467)Skewed
2022-10 is highly skewed (γ1 = 29.92072801)Skewed
2022-11 is highly skewed (γ1 = 29.64398102)Skewed
2022-12 is highly skewed (γ1 = 29.50783821)Skewed
2023-01 is highly skewed (γ1 = 30.46873521)Skewed
2023-02 is highly skewed (γ1 = 31.60801474)Skewed
2023-03 is highly skewed (γ1 = 31.87940245)Skewed
2023-04 is highly skewed (γ1 = 31.69649677)Skewed
2023-05 is highly skewed (γ1 = 32.68346944)Skewed
2023-06 is highly skewed (γ1 = 32.72588101)Skewed
2023-07 is highly skewed (γ1 = 32.5428425)Skewed
2023-08 is highly skewed (γ1 = 32.91965763)Skewed
2023-09 is highly skewed (γ1 = 32.98237702)Skewed
2023-10 is highly skewed (γ1 = 33.23389297)Skewed
2023-11 is highly skewed (γ1 = 32.40691829)Skewed
2023-12 is highly skewed (γ1 = 31.67051041)Skewed
2024-01 is highly skewed (γ1 = 32.01881656)Skewed
2024-02 is highly skewed (γ1 = 31.96748966)Skewed
지역 has unique valuesUnique
2019-01 has 190 (11.2%) zerosZeros
2019-02 has 232 (13.7%) zerosZeros
2019-03 has 188 (11.1%) zerosZeros
2019-04 has 188 (11.1%) zerosZeros
2019-05 has 176 (10.4%) zerosZeros
2019-06 has 186 (11.0%) zerosZeros
2019-07 has 181 (10.7%) zerosZeros
2019-08 has 199 (11.7%) zerosZeros
2019-09 has 203 (12.0%) zerosZeros
2019-10 has 182 (10.7%) zerosZeros
2019-11 has 172 (10.1%) zerosZeros
2019-12 has 172 (10.1%) zerosZeros
2020-01 has 186 (11.0%) zerosZeros
2020-02 has 174 (10.2%) zerosZeros
2020-03 has 171 (10.1%) zerosZeros
2020-04 has 196 (11.5%) zerosZeros
2020-05 has 183 (10.8%) zerosZeros
2020-06 has 176 (10.4%) zerosZeros
2020-07 has 167 (9.8%) zerosZeros
2020-08 has 179 (10.5%) zerosZeros
2020-09 has 177 (10.4%) zerosZeros
2020-10 has 185 (10.9%) zerosZeros
2020-11 has 189 (11.1%) zerosZeros
2020-12 has 145 (8.5%) zerosZeros
2021-01 has 179 (10.5%) zerosZeros
2021-02 has 167 (9.8%) zerosZeros
2021-03 has 162 (9.5%) zerosZeros
2021-04 has 157 (9.2%) zerosZeros
2021-05 has 160 (9.4%) zerosZeros
2021-06 has 175 (10.3%) zerosZeros
2021-07 has 183 (10.8%) zerosZeros
2021-08 has 192 (11.3%) zerosZeros
2021-09 has 197 (11.6%) zerosZeros
2021-10 has 179 (10.5%) zerosZeros
2021-11 has 191 (11.2%) zerosZeros
2021-12 has 179 (10.5%) zerosZeros
2022-01 has 190 (11.2%) zerosZeros
2022-02 has 218 (12.8%) zerosZeros
2022-03 has 196 (11.5%) zerosZeros
2022-04 has 200 (11.8%) zerosZeros
2022-05 has 177 (10.4%) zerosZeros
2022-06 has 190 (11.2%) zerosZeros
2022-07 has 228 (13.4%) zerosZeros
2022-08 has 228 (13.4%) zerosZeros
2022-09 has 212 (12.5%) zerosZeros
2022-10 has 238 (14.0%) zerosZeros
2022-11 has 228 (13.4%) zerosZeros
2022-12 has 239 (14.1%) zerosZeros
2023-01 has 281 (16.5%) zerosZeros
2023-02 has 261 (15.4%) zerosZeros
2023-03 has 219 (12.9%) zerosZeros
2023-04 has 220 (13.0%) zerosZeros
2023-05 has 229 (13.5%) zerosZeros
2023-06 has 206 (12.1%) zerosZeros
2023-07 has 236 (13.9%) zerosZeros
2023-08 has 226 (13.3%) zerosZeros
2023-09 has 233 (13.7%) zerosZeros
2023-10 has 245 (14.4%) zerosZeros
2023-11 has 221 (13.0%) zerosZeros
2023-12 has 220 (13.0%) zerosZeros
2024-01 has 241 (14.2%) zerosZeros
2024-02 has 238 (14.0%) zerosZeros

Reproduction

Analysis started2024-04-06 08:02:53.012042
Analysis finished2024-04-06 08:02:54.386195
Duration1.37 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct1698
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size13.4 KiB
2024-04-06T17:02:54.677078image/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%
2024-04-06T17:02:55.677547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1698
 
11.4%
/ 1698
 
11.4%
714
 
4.8%
684
 
4.6%
630
 
4.2%
607
 
4.1%
583
 
3.9%
522
 
3.5%
492
 
3.3%
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 (%)
714
 
6.2%
684
 
5.9%
630
 
5.4%
607
 
5.3%
583
 
5.0%
522
 
4.5%
492
 
4.3%
403
 
3.5%
402
 
3.5%
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 (%)
714
 
6.2%
684
 
5.9%
630
 
5.4%
607
 
5.3%
583
 
5.0%
522
 
4.5%
492
 
4.3%
403
 
3.5%
402
 
3.5%
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 (%)
714
 
6.2%
684
 
5.9%
630
 
5.4%
607
 
5.3%
583
 
5.0%
522
 
4.5%
492
 
4.3%
403
 
3.5%
402
 
3.5%
313
 
2.7%
Other values (137) 6210
53.7%

2019-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct392
Distinct (%)23.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean233.1368
Minimum0
Maximum70869
Zeros190
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:02:55.923280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median34
Q3109
95-th percentile625.2
Maximum70869
Range70869
Interquartile range (IQR)104

Descriptive statistics

Standard deviation1951.8583
Coefficient of variation (CV)8.3721587
Kurtosis1036.1948
Mean233.1368
Median Absolute Deviation (MAD)33
Skewness29.715418
Sum390271
Variance3809750.7
MonotonicityNot monotonic
2024-04-06T17:02:56.242146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
11.2%
1 71
 
4.2%
2 51
 
3.0%
3 46
 
2.7%
5 45
 
2.7%
4 37
 
2.2%
6 34
 
2.0%
7 32
 
1.9%
15 24
 
1.4%
8 24
 
1.4%
Other values (382) 1120
66.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 190
11.2%
1 71
 
4.2%
2 51
 
3.0%
3 46
 
2.7%
4 37
 
2.2%
5 45
 
2.7%
6 34
 
2.0%
7 32
 
1.9%
8 24
 
1.4%
9 18
 
1.1%
ValueCountFrequency (%)
70869 1
0.1%
17094 1
0.1%
16760 1
0.1%
15654 1
0.1%
13104 1
0.1%
8186 1
0.1%
6881 1
0.1%
6799 1
0.1%
5311 1
0.1%
4481 1
0.1%

2019-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean190.6816
Minimum0
Maximum59996
Zeros232
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:02:56.633783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q390
95-th percentile495.8
Maximum59996
Range59996
Interquartile range (IQR)86

Descriptive statistics

Standard deviation1633.8206
Coefficient of variation (CV)8.5683178
Kurtosis1082.4744
Mean190.6816
Median Absolute Deviation (MAD)25
Skewness30.51945
Sum319201
Variance2669369.6
MonotonicityNot monotonic
2024-04-06T17:02:56.908761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 232
 
13.7%
1 69
 
4.1%
2 63
 
3.7%
3 47
 
2.8%
4 41
 
2.4%
6 28
 
1.6%
9 28
 
1.6%
13 27
 
1.6%
10 27
 
1.6%
7 27
 
1.6%
Other values (354) 1085
63.9%
ValueCountFrequency (%)
0 232
13.7%
1 69
 
4.1%
2 63
 
3.7%
3 47
 
2.8%
4 41
 
2.4%
5 26
 
1.5%
6 28
 
1.6%
7 27
 
1.6%
8 26
 
1.5%
9 28
 
1.6%
ValueCountFrequency (%)
59996 1
0.1%
14179 1
0.1%
13428 1
0.1%
11682 1
0.1%
10341 1
0.1%
6490 1
0.1%
5188 1
0.1%
5074 1
0.1%
4576 1
0.1%
3940 1
0.1%

2019-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct407
Distinct (%)24.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean239.6822
Minimum0
Maximum74876
Zeros188
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:02:57.182837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3113
95-th percentile582.4
Maximum74876
Range74876
Interquartile range (IQR)108

Descriptive statistics

Standard deviation2049.7819
Coefficient of variation (CV)8.5520824
Kurtosis1061.2043
Mean239.6822
Median Absolute Deviation (MAD)31
Skewness30.168606
Sum401228
Variance4201605.9
MonotonicityNot monotonic
2024-04-06T17:02:57.453300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 188
 
11.1%
1 74
 
4.4%
2 58
 
3.4%
4 41
 
2.4%
3 40
 
2.4%
5 30
 
1.8%
7 26
 
1.5%
9 24
 
1.4%
11 24
 
1.4%
12 24
 
1.4%
Other values (397) 1145
67.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 188
11.1%
1 74
 
4.4%
2 58
 
3.4%
3 40
 
2.4%
4 41
 
2.4%
5 30
 
1.8%
6 23
 
1.4%
7 26
 
1.5%
8 21
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
74876 1
0.1%
18450 1
0.1%
17877 1
0.1%
14362 1
0.1%
13353 1
0.1%
8720 1
0.1%
6226 1
0.1%
6155 1
0.1%
5701 1
0.1%
4704 1
0.1%

2019-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct417
Distinct (%)24.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean251.58303
Minimum0
Maximum80413
Zeros188
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:02:58.006420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median33
Q3119.75
95-th percentile671.75
Maximum80413
Range80413
Interquartile range (IQR)114.75

Descriptive statistics

Standard deviation2184.0319
Coefficient of variation (CV)8.6811574
Kurtosis1093.9521
Mean251.58303
Median Absolute Deviation (MAD)32
Skewness30.731238
Sum421150
Variance4769995.4
MonotonicityNot monotonic
2024-04-06T17:02:58.914088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 188
 
11.1%
1 75
 
4.4%
2 64
 
3.8%
3 46
 
2.7%
4 32
 
1.9%
6 31
 
1.8%
5 26
 
1.5%
8 25
 
1.5%
10 25
 
1.5%
7 20
 
1.2%
Other values (407) 1142
67.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 188
11.1%
1 75
 
4.4%
2 64
 
3.8%
3 46
 
2.7%
4 32
 
1.9%
5 26
 
1.5%
6 31
 
1.8%
7 20
 
1.2%
8 25
 
1.5%
9 19
 
1.1%
ValueCountFrequency (%)
80413 1
0.1%
19669 1
0.1%
16982 1
0.1%
14485 1
0.1%
14323 1
0.1%
9581 1
0.1%
6920 1
0.1%
6249 1
0.1%
5607 1
0.1%
5570 1
0.1%

2019-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct402
Distinct (%)24.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean245.66249
Minimum0
Maximum79262
Zeros176
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:02:59.591801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median33
Q3109
95-th percentile653.8
Maximum79262
Range79262
Interquartile range (IQR)103

Descriptive statistics

Standard deviation2149.4701
Coefficient of variation (CV)8.7496879
Kurtosis1100.4625
Mean245.66249
Median Absolute Deviation (MAD)32
Skewness30.841249
Sum411239
Variance4620221.5
MonotonicityNot monotonic
2024-04-06T17:02:59.914263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
10.4%
1 81
 
4.8%
2 57
 
3.4%
3 42
 
2.5%
7 32
 
1.9%
4 31
 
1.8%
11 27
 
1.6%
6 27
 
1.6%
8 26
 
1.5%
5 25
 
1.5%
Other values (392) 1150
67.7%
ValueCountFrequency (%)
0 176
10.4%
1 81
4.8%
2 57
 
3.4%
3 42
 
2.5%
4 31
 
1.8%
5 25
 
1.5%
6 27
 
1.6%
7 32
 
1.9%
8 26
 
1.5%
9 20
 
1.2%
ValueCountFrequency (%)
79262 1
0.1%
19572 1
0.1%
15150 1
0.1%
15006 1
0.1%
13284 1
0.1%
10829 1
0.1%
6693 1
0.1%
6604 1
0.1%
5903 1
0.1%
5008 1
0.1%

2019-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct373
Distinct (%)22.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean219.66607
Minimum0
Maximum74654
Zeros186
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:00.208400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median27
Q391
95-th percentile590.7
Maximum74654
Range74654
Interquartile range (IQR)86

Descriptive statistics

Standard deviation2003.5545
Coefficient of variation (CV)9.1209102
Kurtosis1146.8689
Mean219.66607
Median Absolute Deviation (MAD)26
Skewness31.676019
Sum367721
Variance4014230.6
MonotonicityNot monotonic
2024-04-06T17:03:00.502937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
11.0%
1 82
 
4.8%
2 56
 
3.3%
3 44
 
2.6%
4 42
 
2.5%
6 35
 
2.1%
7 29
 
1.7%
5 29
 
1.7%
8 27
 
1.6%
9 26
 
1.5%
Other values (363) 1118
65.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 186
11.0%
1 82
4.8%
2 56
 
3.3%
3 44
 
2.6%
4 42
 
2.5%
5 29
 
1.7%
6 35
 
2.1%
7 29
 
1.7%
8 27
 
1.6%
9 26
 
1.5%
ValueCountFrequency (%)
74654 1
0.1%
18740 1
0.1%
12202 1
0.1%
11982 1
0.1%
11400 1
0.1%
11228 1
0.1%
5628 1
0.1%
5404 1
0.1%
5371 1
0.1%
4582 1
0.1%

2019-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct406
Distinct (%)24.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean261.14337
Minimum0
Maximum89402
Zeros181
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:00.799193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median32.5
Q3107.75
95-th percentile705.35
Maximum89402
Range89402
Interquartile range (IQR)101.75

Descriptive statistics

Standard deviation2396.1278
Coefficient of variation (CV)9.1755259
Kurtosis1152.857
Mean261.14337
Median Absolute Deviation (MAD)31.5
Skewness31.782332
Sum437154
Variance5741428.2
MonotonicityNot monotonic
2024-04-06T17:03:01.052776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 181
 
10.7%
1 63
 
3.7%
2 56
 
3.3%
7 40
 
2.4%
3 37
 
2.2%
5 36
 
2.1%
6 32
 
1.9%
4 28
 
1.6%
8 26
 
1.5%
12 26
 
1.5%
Other values (396) 1149
67.7%
ValueCountFrequency (%)
0 181
10.7%
1 63
 
3.7%
2 56
 
3.3%
3 37
 
2.2%
4 28
 
1.6%
5 36
 
2.1%
6 32
 
1.9%
7 40
 
2.4%
8 26
 
1.5%
9 24
 
1.4%
ValueCountFrequency (%)
89402 1
0.1%
21757 1
0.1%
15928 1
0.1%
13926 1
0.1%
13720 1
0.1%
13043 1
0.1%
7672 1
0.1%
6353 1
0.1%
5593 1
0.1%
4947 1
0.1%

2019-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct383
Distinct (%)22.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean241.23417
Minimum0
Maximum85158
Zeros199
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:01.353691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median29
Q393
95-th percentile695.7
Maximum85158
Range85158
Interquartile range (IQR)88

Descriptive statistics

Standard deviation2276.6206
Coefficient of variation (CV)9.4373885
Kurtosis1165.3157
Mean241.23417
Median Absolute Deviation (MAD)28
Skewness32.033916
Sum403826
Variance5183001.2
MonotonicityNot monotonic
2024-04-06T17:03:01.622437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 199
 
11.7%
1 82
 
4.8%
3 45
 
2.7%
7 44
 
2.6%
2 42
 
2.5%
4 36
 
2.1%
9 29
 
1.7%
5 26
 
1.5%
13 24
 
1.4%
6 22
 
1.3%
Other values (373) 1125
66.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 199
11.7%
1 82
4.8%
2 42
 
2.5%
3 45
 
2.7%
4 36
 
2.1%
5 26
 
1.5%
6 22
 
1.3%
7 44
 
2.6%
8 21
 
1.2%
9 29
 
1.7%
ValueCountFrequency (%)
85158 1
0.1%
21157 1
0.1%
16544 1
0.1%
12889 1
0.1%
11710 1
0.1%
10948 1
0.1%
6365 1
0.1%
6145 1
0.1%
5091 1
0.1%
4832 1
0.1%

2019-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct370
Distinct (%)22.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean226.2049
Minimum0
Maximum82149
Zeros203
Zeros (%)12.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:01.863085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median25
Q384.75
95-th percentile644.35
Maximum82149
Range82149
Interquartile range (IQR)80.75

Descriptive statistics

Standard deviation2183.3482
Coefficient of variation (CV)9.6520818
Kurtosis1193.0397
Mean226.2049
Median Absolute Deviation (MAD)24
Skewness32.534736
Sum378667
Variance4767009.3
MonotonicityNot monotonic
2024-04-06T17:03:02.099812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 203
 
12.0%
1 82
 
4.8%
2 66
 
3.9%
3 47
 
2.8%
7 39
 
2.3%
4 30
 
1.8%
8 29
 
1.7%
5 29
 
1.7%
6 28
 
1.6%
15 27
 
1.6%
Other values (360) 1094
64.4%
ValueCountFrequency (%)
0 203
12.0%
1 82
4.8%
2 66
 
3.9%
3 47
 
2.8%
4 30
 
1.8%
5 29
 
1.7%
6 28
 
1.6%
7 39
 
2.3%
8 29
 
1.7%
9 21
 
1.2%
ValueCountFrequency (%)
82149 1
0.1%
21011 1
0.1%
14755 1
0.1%
10711 1
0.1%
10184 1
0.1%
9971 1
0.1%
6068 1
0.1%
5748 1
0.1%
4969 1
0.1%
4509 1
0.1%

2019-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct402
Distinct (%)24.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean283.24014
Minimum0
Maximum103918
Zeros182
Zeros (%)10.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:02.358485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3105.75
95-th percentile824.05
Maximum103918
Range103918
Interquartile range (IQR)100.75

Descriptive statistics

Standard deviation2759.1956
Coefficient of variation (CV)9.7415415
Kurtosis1198.1525
Mean283.24014
Median Absolute Deviation (MAD)31
Skewness32.637735
Sum474144
Variance7613160.4
MonotonicityNot monotonic
2024-04-06T17:03:02.635251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 182
 
10.7%
1 70
 
4.1%
2 52
 
3.1%
3 48
 
2.8%
4 45
 
2.7%
5 34
 
2.0%
7 27
 
1.6%
6 23
 
1.4%
13 22
 
1.3%
11 21
 
1.2%
Other values (392) 1150
67.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 182
10.7%
1 70
 
4.1%
2 52
 
3.1%
3 48
 
2.8%
4 45
 
2.7%
5 34
 
2.0%
6 23
 
1.4%
7 27
 
1.6%
8 20
 
1.2%
9 21
 
1.2%
ValueCountFrequency (%)
103918 1
0.1%
27262 1
0.1%
17613 1
0.1%
13504 1
0.1%
13007 1
0.1%
12028 1
0.1%
7434 1
0.1%
6734 1
0.1%
6018 1
0.1%
5734 1
0.1%

2019-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct420
Distinct (%)25.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean305.8859
Minimum0
Maximum113651
Zeros172
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:02.890074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median32
Q3105
95-th percentile918.35
Maximum113651
Range113651
Interquartile range (IQR)99

Descriptive statistics

Standard deviation3016.0945
Coefficient of variation (CV)9.8601944
Kurtosis1201.0406
Mean305.8859
Median Absolute Deviation (MAD)31
Skewness32.704848
Sum512053
Variance9096825.7
MonotonicityNot monotonic
2024-04-06T17:03:03.152697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
10.1%
1 70
 
4.1%
2 56
 
3.3%
3 46
 
2.7%
7 34
 
2.0%
5 32
 
1.9%
4 31
 
1.8%
8 29
 
1.7%
18 26
 
1.5%
14 25
 
1.5%
Other values (410) 1153
67.9%
ValueCountFrequency (%)
0 172
10.1%
1 70
4.1%
2 56
 
3.3%
3 46
 
2.7%
4 31
 
1.8%
5 32
 
1.9%
6 20
 
1.2%
7 34
 
2.0%
8 29
 
1.7%
9 24
 
1.4%
ValueCountFrequency (%)
113651 1
0.1%
30084 1
0.1%
20464 1
0.1%
14469 1
0.1%
12676 1
0.1%
12065 1
0.1%
8677 1
0.1%
7460 1
0.1%
7232 1
0.1%
6109 1
0.1%

2019-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct432
Distinct (%)25.8%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean374.51493
Minimum0
Maximum143769
Zeros172
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:03.386713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median34
Q3121
95-th percentile1169.85
Maximum143769
Range143769
Interquartile range (IQR)114

Descriptive statistics

Standard deviation3808.1011
Coefficient of variation (CV)10.168089
Kurtosis1211.068
Mean374.51493
Median Absolute Deviation (MAD)33
Skewness32.912971
Sum626938
Variance14501634
MonotonicityNot monotonic
2024-04-06T17:03:04.080492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 172
 
10.1%
1 70
 
4.1%
3 47
 
2.8%
2 43
 
2.5%
4 29
 
1.7%
5 28
 
1.6%
10 26
 
1.5%
7 26
 
1.5%
13 25
 
1.5%
11 24
 
1.4%
Other values (422) 1184
69.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 172
10.1%
1 70
4.1%
2 43
 
2.5%
3 47
 
2.8%
4 29
 
1.7%
5 28
 
1.6%
6 22
 
1.3%
7 26
 
1.5%
8 23
 
1.4%
9 16
 
0.9%
ValueCountFrequency (%)
143769 1
0.1%
38615 1
0.1%
27003 1
0.1%
17255 1
0.1%
14102 1
0.1%
13132 1
0.1%
11847 1
0.1%
9302 1
0.1%
8108 1
0.1%
7170 1
0.1%

2020-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct410
Distinct (%)24.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean322.93489
Minimum0
Maximum123511
Zeros186
Zeros (%)11.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:04.343988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median30
Q3101
95-th percentile968.3
Maximum123511
Range123511
Interquartile range (IQR)95

Descriptive statistics

Standard deviation3279.3837
Coefficient of variation (CV)10.154938
Kurtosis1201.2726
Mean322.93489
Median Absolute Deviation (MAD)29
Skewness32.783847
Sum540593
Variance10754358
MonotonicityNot monotonic
2024-04-06T17:03:04.637260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 186
 
11.0%
1 75
 
4.4%
2 47
 
2.8%
3 41
 
2.4%
5 36
 
2.1%
10 31
 
1.8%
4 31
 
1.8%
11 26
 
1.5%
8 24
 
1.4%
13 23
 
1.4%
Other values (400) 1154
68.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 186
11.0%
1 75
4.4%
2 47
 
2.8%
3 41
 
2.4%
4 31
 
1.8%
5 36
 
2.1%
6 23
 
1.4%
7 22
 
1.3%
8 24
 
1.4%
9 21
 
1.2%
ValueCountFrequency (%)
123511 1
0.1%
36094 1
0.1%
20268 1
0.1%
15182 1
0.1%
11772 1
0.1%
11701 1
0.1%
9040 1
0.1%
8533 1
0.1%
6602 1
0.1%
6227 1
0.1%

2020-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct431
Distinct (%)25.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean362.82796
Minimum0
Maximum138870
Zeros174
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:04.947360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median34
Q3110
95-th percentile1061.35
Maximum138870
Range138870
Interquartile range (IQR)103

Descriptive statistics

Standard deviation3713.3917
Coefficient of variation (CV)10.23458
Kurtosis1172.5088
Mean362.82796
Median Absolute Deviation (MAD)33
Skewness32.388136
Sum607374
Variance13789278
MonotonicityNot monotonic
2024-04-06T17:03:05.276897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
10.2%
1 68
 
4.0%
2 55
 
3.2%
3 38
 
2.2%
7 36
 
2.1%
4 32
 
1.9%
13 30
 
1.8%
10 27
 
1.6%
6 26
 
1.5%
8 24
 
1.4%
Other values (421) 1164
68.6%
ValueCountFrequency (%)
0 174
10.2%
1 68
 
4.0%
2 55
 
3.2%
3 38
 
2.2%
4 32
 
1.9%
5 24
 
1.4%
6 26
 
1.5%
7 36
 
2.1%
8 24
 
1.4%
9 23
 
1.4%
ValueCountFrequency (%)
138870 1
0.1%
45773 1
0.1%
20300 1
0.1%
17640 1
0.1%
12595 1
0.1%
12429 1
0.1%
11125 1
0.1%
7883 1
0.1%
7501 1
0.1%
6479 1
0.1%

2020-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct431
Distinct (%)25.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean355.8399
Minimum0
Maximum132705
Zeros171
Zeros (%)10.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:05.560924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median36.5
Q3119
95-th percentile1025
Maximum132705
Range132705
Interquartile range (IQR)112

Descriptive statistics

Standard deviation3561.5939
Coefficient of variation (CV)10.008978
Kurtosis1154.4055
Mean355.8399
Median Absolute Deviation (MAD)34.5
Skewness32.032016
Sum595676
Variance12684951
MonotonicityNot monotonic
2024-04-06T17:03:05.885659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 171
 
10.1%
1 61
 
3.6%
2 56
 
3.3%
4 36
 
2.1%
5 31
 
1.8%
3 27
 
1.6%
7 26
 
1.5%
13 26
 
1.5%
11 23
 
1.4%
23 22
 
1.3%
Other values (421) 1195
70.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 171
10.1%
1 61
 
3.6%
2 56
 
3.3%
3 27
 
1.6%
4 36
 
2.1%
5 31
 
1.8%
6 20
 
1.2%
7 26
 
1.5%
8 20
 
1.2%
9 21
 
1.2%
ValueCountFrequency (%)
132705 1
0.1%
42854 1
0.1%
20156 1
0.1%
18789 1
0.1%
14437 1
0.1%
13535 1
0.1%
13046 1
0.1%
8297 1
0.1%
7333 1
0.1%
5818 1
0.1%

2020-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct414
Distinct (%)24.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean273.55556
Minimum0
Maximum94959
Zeros196
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:06.181382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3110.75
95-th percentile756.1
Maximum94959
Range94959
Interquartile range (IQR)105.75

Descriptive statistics

Standard deviation2543.6622
Coefficient of variation (CV)9.2985215
Kurtosis1156.7465
Mean273.55556
Median Absolute Deviation (MAD)31
Skewness31.886678
Sum457932
Variance6470217.4
MonotonicityNot monotonic
2024-04-06T17:03:06.438032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 196
 
11.5%
1 69
 
4.1%
2 62
 
3.7%
3 43
 
2.5%
5 33
 
1.9%
7 31
 
1.8%
9 31
 
1.8%
4 24
 
1.4%
6 24
 
1.4%
22 22
 
1.3%
Other values (404) 1139
67.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 196
11.5%
1 69
 
4.1%
2 62
 
3.7%
3 43
 
2.5%
4 24
 
1.4%
5 33
 
1.9%
6 24
 
1.4%
7 31
 
1.8%
8 15
 
0.9%
9 31
 
1.8%
ValueCountFrequency (%)
94959 1
0.1%
25582 1
0.1%
15921 1
0.1%
13468 1
0.1%
12958 1
0.1%
12239 1
0.1%
8589 1
0.1%
7327 1
0.1%
6475 1
0.1%
5446 1
0.1%

2020-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct427
Distinct (%)25.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean288.47073
Minimum0
Maximum104207
Zeros183
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:06.779937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3108
95-th percentile823
Maximum104207
Range104207
Interquartile range (IQR)103

Descriptive statistics

Standard deviation2767.7514
Coefficient of variation (CV)9.5945659
Kurtosis1196.6025
Mean288.47073
Median Absolute Deviation (MAD)31
Skewness32.600416
Sum482900
Variance7660447.9
MonotonicityNot monotonic
2024-04-06T17:03:07.049042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
10.8%
1 79
 
4.7%
2 54
 
3.2%
4 41
 
2.4%
3 38
 
2.2%
5 33
 
1.9%
6 33
 
1.9%
14 26
 
1.5%
9 24
 
1.4%
10 23
 
1.4%
Other values (417) 1140
67.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 183
10.8%
1 79
4.7%
2 54
 
3.2%
3 38
 
2.2%
4 41
 
2.4%
5 33
 
1.9%
6 33
 
1.9%
7 21
 
1.2%
8 21
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
104207 1
0.1%
28092 1
0.1%
14757 1
0.1%
13605 1
0.1%
12858 1
0.1%
12149 1
0.1%
8653 1
0.1%
7074 1
0.1%
6872 1
0.1%
6149 1
0.1%

2020-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct446
Distinct (%)26.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean423.06332
Minimum0
Maximum165676
Zeros176
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:07.369892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median38
Q3125
95-th percentile1288.7
Maximum165676
Range165676
Interquartile range (IQR)118

Descriptive statistics

Standard deviation4390.5934
Coefficient of variation (CV)10.3781
Kurtosis1212.0419
Mean423.06332
Median Absolute Deviation (MAD)37
Skewness33.020211
Sum708208
Variance19277310
MonotonicityNot monotonic
2024-04-06T17:03:07.778200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 176
 
10.4%
1 65
 
3.8%
2 46
 
2.7%
3 39
 
2.3%
4 38
 
2.2%
5 29
 
1.7%
10 25
 
1.5%
7 23
 
1.4%
15 23
 
1.4%
14 22
 
1.3%
Other values (436) 1188
70.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 176
10.4%
1 65
 
3.8%
2 46
 
2.7%
3 39
 
2.3%
4 38
 
2.2%
5 29
 
1.7%
6 17
 
1.0%
7 23
 
1.4%
8 20
 
1.2%
9 19
 
1.1%
ValueCountFrequency (%)
165676 1
0.1%
50828 1
0.1%
23181 1
0.1%
16508 1
0.1%
15626 1
0.1%
14395 1
0.1%
13858 1
0.1%
11106 1
0.1%
9077 1
0.1%
7845 1
0.1%

2020-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct459
Distinct (%)27.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean436.65651
Minimum0
Maximum171193
Zeros167
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:08.037638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median40.5
Q3132
95-th percentile1323.75
Maximum171193
Range171193
Interquartile range (IQR)125

Descriptive statistics

Standard deviation4536.15
Coefficient of variation (CV)10.388371
Kurtosis1211.1809
Mean436.65651
Median Absolute Deviation (MAD)38.5
Skewness32.970862
Sum730963
Variance20576657
MonotonicityNot monotonic
2024-04-06T17:03:08.324283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
9.8%
1 55
 
3.2%
3 43
 
2.5%
2 39
 
2.3%
4 37
 
2.2%
5 31
 
1.8%
7 28
 
1.6%
8 25
 
1.5%
17 23
 
1.4%
6 20
 
1.2%
Other values (449) 1206
71.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 167
9.8%
1 55
 
3.2%
2 39
 
2.3%
3 43
 
2.5%
4 37
 
2.2%
5 31
 
1.8%
6 20
 
1.2%
7 28
 
1.6%
8 25
 
1.5%
9 19
 
1.1%
ValueCountFrequency (%)
171193 1
0.1%
49339 1
0.1%
30746 1
0.1%
16294 1
0.1%
15966 1
0.1%
15673 1
0.1%
14351 1
0.1%
9959 1
0.1%
9691 1
0.1%
8916 1
0.1%

2020-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct409
Distinct (%)24.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean294.60036
Minimum0
Maximum109087
Zeros179
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:08.639828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q3106.75
95-th percentile824.35
Maximum109087
Range109087
Interquartile range (IQR)100.75

Descriptive statistics

Standard deviation2897.0269
Coefficient of variation (CV)9.833752
Kurtosis1198.4162
Mean294.60036
Median Absolute Deviation (MAD)32
Skewness32.683188
Sum493161
Variance8392764.7
MonotonicityNot monotonic
2024-04-06T17:03:09.085942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
10.5%
1 69
 
4.1%
2 56
 
3.3%
3 40
 
2.4%
5 39
 
2.3%
4 34
 
2.0%
6 28
 
1.6%
11 28
 
1.6%
8 26
 
1.5%
10 25
 
1.5%
Other values (399) 1150
67.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 179
10.5%
1 69
 
4.1%
2 56
 
3.3%
3 40
 
2.4%
4 34
 
2.0%
5 39
 
2.3%
6 28
 
1.6%
7 22
 
1.3%
8 26
 
1.5%
9 14
 
0.8%
ValueCountFrequency (%)
109087 1
0.1%
30196 1
0.1%
18290 1
0.1%
13451 1
0.1%
13042 1
0.1%
11375 1
0.1%
8109 1
0.1%
7651 1
0.1%
6155 1
0.1%
5735 1
0.1%

2020-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct426
Distinct (%)25.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean289.83035
Minimum0
Maximum104800
Zeros177
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:09.358549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median32
Q3108.75
95-th percentile841.75
Maximum104800
Range104800
Interquartile range (IQR)102.75

Descriptive statistics

Standard deviation2783.5229
Coefficient of variation (CV)9.6039732
Kurtosis1196.848
Mean289.83035
Median Absolute Deviation (MAD)31
Skewness32.615936
Sum485176
Variance7747999.7
MonotonicityNot monotonic
2024-04-06T17:03:09.609093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
10.4%
1 84
 
4.9%
2 47
 
2.8%
6 35
 
2.1%
3 35
 
2.1%
5 34
 
2.0%
4 33
 
1.9%
7 32
 
1.9%
14 28
 
1.6%
8 25
 
1.5%
Other values (416) 1144
67.4%
ValueCountFrequency (%)
0 177
10.4%
1 84
4.9%
2 47
 
2.8%
3 35
 
2.1%
4 33
 
1.9%
5 34
 
2.0%
6 35
 
2.1%
7 32
 
1.9%
8 25
 
1.5%
9 18
 
1.1%
ValueCountFrequency (%)
104800 1
0.1%
28620 1
0.1%
13998 1
0.1%
13593 1
0.1%
13525 1
0.1%
11918 1
0.1%
8673 1
0.1%
8542 1
0.1%
5917 1
0.1%
5767 1
0.1%

2020-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct427
Distinct (%)25.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean306.42115
Minimum0
Maximum114365
Zeros185
Zeros (%)10.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:09.859480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15.25
median32
Q3109
95-th percentile889.8
Maximum114365
Range114365
Interquartile range (IQR)103.75

Descriptive statistics

Standard deviation3023.2948
Coefficient of variation (CV)9.8664691
Kurtosis1219.6605
Mean306.42115
Median Absolute Deviation (MAD)31
Skewness33.025421
Sum512949
Variance9140311.4
MonotonicityNot monotonic
2024-04-06T17:03:10.109291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 185
 
10.9%
1 84
 
4.9%
2 54
 
3.2%
3 42
 
2.5%
7 36
 
2.1%
6 31
 
1.8%
5 28
 
1.6%
11 27
 
1.6%
4 26
 
1.5%
12 24
 
1.4%
Other values (417) 1137
67.0%
ValueCountFrequency (%)
0 185
10.9%
1 84
4.9%
2 54
 
3.2%
3 42
 
2.5%
4 26
 
1.5%
5 28
 
1.6%
6 31
 
1.8%
7 36
 
2.1%
8 21
 
1.2%
9 15
 
0.9%
ValueCountFrequency (%)
114365 1
0.1%
31110 1
0.1%
13917 1
0.1%
13606 1
0.1%
13511 1
0.1%
11537 1
0.1%
11303 1
0.1%
8121 1
0.1%
6814 1
0.1%
6295 1
0.1%

2020-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct445
Distinct (%)26.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean377.13441
Minimum0
Maximum143534
Zeros189
Zeros (%)11.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:10.396423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median37
Q3127
95-th percentile1099.75
Maximum143534
Range143534
Interquartile range (IQR)121

Descriptive statistics

Standard deviation3764.8778
Coefficient of variation (CV)9.9828542
Kurtosis1255.4099
Mean377.13441
Median Absolute Deviation (MAD)36
Skewness33.56495
Sum631323
Variance14174305
MonotonicityNot monotonic
2024-04-06T17:03:10.711396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 189
 
11.1%
1 71
 
4.2%
2 53
 
3.1%
4 41
 
2.4%
11 32
 
1.9%
3 29
 
1.7%
15 28
 
1.6%
14 24
 
1.4%
10 23
 
1.4%
5 22
 
1.3%
Other values (435) 1162
68.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 189
11.1%
1 71
 
4.2%
2 53
 
3.1%
3 29
 
1.7%
4 41
 
2.4%
5 22
 
1.3%
6 19
 
1.1%
7 18
 
1.1%
8 17
 
1.0%
9 21
 
1.2%
ValueCountFrequency (%)
143534 1
0.1%
32312 1
0.1%
21606 1
0.1%
17711 1
0.1%
15361 1
0.1%
13342 1
0.1%
12670 1
0.1%
11316 1
0.1%
9039 1
0.1%
8370 1
0.1%

2020-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct497
Distinct (%)29.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean461.57109
Minimum0
Maximum172737
Zeros145
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:11.471609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19
median44
Q3160.75
95-th percentile1495.15
Maximum172737
Range172737
Interquartile range (IQR)151.75

Descriptive statistics

Standard deviation4563.1449
Coefficient of variation (CV)9.8861151
Kurtosis1223.2532
Mean461.57109
Median Absolute Deviation (MAD)42
Skewness33.094051
Sum772670
Variance20822291
MonotonicityNot monotonic
2024-04-06T17:03:11.831219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 145
 
8.5%
1 64
 
3.8%
2 48
 
2.8%
3 36
 
2.1%
4 35
 
2.1%
5 27
 
1.6%
6 24
 
1.4%
13 23
 
1.4%
10 23
 
1.4%
8 21
 
1.2%
Other values (487) 1228
72.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 145
8.5%
1 64
3.8%
2 48
 
2.8%
3 36
 
2.1%
4 35
 
2.1%
5 27
 
1.6%
6 24
 
1.4%
7 17
 
1.0%
8 21
 
1.2%
9 20
 
1.2%
ValueCountFrequency (%)
172737 1
0.1%
47214 1
0.1%
22313 1
0.1%
20752 1
0.1%
19162 1
0.1%
15757 1
0.1%
14838 1
0.1%
12106 1
0.1%
11394 1
0.1%
10024 1
0.1%

2021-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct436
Distinct (%)26.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean325.89964
Minimum0
Maximum116374
Zeros179
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:12.088185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median37
Q3128
95-th percentile946.75
Maximum116374
Range116374
Interquartile range (IQR)122

Descriptive statistics

Standard deviation3112.3973
Coefficient of variation (CV)9.5501709
Kurtosis1166.5591
Mean325.89964
Median Absolute Deviation (MAD)36
Skewness32.145129
Sum545556
Variance9687016.8
MonotonicityNot monotonic
2024-04-06T17:03:12.485989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
10.5%
1 70
 
4.1%
2 42
 
2.5%
3 41
 
2.4%
7 32
 
1.9%
5 32
 
1.9%
6 30
 
1.8%
4 29
 
1.7%
10 26
 
1.5%
19 24
 
1.4%
Other values (426) 1169
68.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 179
10.5%
1 70
 
4.1%
2 42
 
2.5%
3 41
 
2.4%
4 29
 
1.7%
5 32
 
1.9%
6 30
 
1.8%
7 32
 
1.9%
8 20
 
1.2%
9 20
 
1.2%
ValueCountFrequency (%)
116374 1
0.1%
34333 1
0.1%
18734 1
0.1%
15873 1
0.1%
14745 1
0.1%
11735 1
0.1%
9429 1
0.1%
8425 1
0.1%
7148 1
0.1%
6586 1
0.1%

2021-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct435
Distinct (%)26.0%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean311.78793
Minimum0
Maximum112220
Zeros167
Zeros (%)9.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:12.800125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median33.5
Q3117.5
95-th percentile883.05
Maximum112220
Range112220
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation3003.2436
Coefficient of variation (CV)9.6323277
Kurtosis1163.7822
Mean311.78793
Median Absolute Deviation (MAD)32.5
Skewness32.100187
Sum521933
Variance9019471.9
MonotonicityNot monotonic
2024-04-06T17:03:13.150594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 167
 
9.8%
1 77
 
4.5%
2 54
 
3.2%
4 39
 
2.3%
3 36
 
2.1%
5 31
 
1.8%
19 29
 
1.7%
6 29
 
1.7%
8 27
 
1.6%
7 25
 
1.5%
Other values (425) 1160
68.3%
ValueCountFrequency (%)
0 167
9.8%
1 77
4.5%
2 54
 
3.2%
3 36
 
2.1%
4 39
 
2.3%
5 31
 
1.8%
6 29
 
1.7%
7 25
 
1.5%
8 27
 
1.6%
9 17
 
1.0%
ValueCountFrequency (%)
112220 1
0.1%
33179 1
0.1%
17747 1
0.1%
16443 1
0.1%
14213 1
0.1%
10920 1
0.1%
9376 1
0.1%
8586 1
0.1%
6364 1
0.1%
6042 1
0.1%

2021-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct495
Distinct (%)29.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean394.97133
Minimum0
Maximum134264
Zeros162
Zeros (%)9.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:13.535897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median47
Q3177.75
95-th percentile1087.35
Maximum134264
Range134264
Interquartile range (IQR)170.75

Descriptive statistics

Standard deviation3611.4204
Coefficient of variation (CV)9.1435002
Kurtosis1138.6072
Mean394.97133
Median Absolute Deviation (MAD)46
Skewness31.588853
Sum661182
Variance13042357
MonotonicityNot monotonic
2024-04-06T17:03:13.813928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 162
 
9.5%
1 66
 
3.9%
2 45
 
2.7%
5 38
 
2.2%
4 35
 
2.1%
3 35
 
2.1%
6 27
 
1.6%
14 23
 
1.4%
7 21
 
1.2%
9 21
 
1.2%
Other values (485) 1201
70.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 162
9.5%
1 66
3.9%
2 45
 
2.7%
3 35
 
2.1%
4 35
 
2.1%
5 38
 
2.2%
6 27
 
1.6%
7 21
 
1.2%
8 12
 
0.7%
9 21
 
1.2%
ValueCountFrequency (%)
134264 1
0.1%
36887 1
0.1%
26639 1
0.1%
20734 1
0.1%
15487 1
0.1%
14201 1
0.1%
12304 1
0.1%
11395 1
0.1%
8233 1
0.1%
8172 1
0.1%

2021-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct478
Distinct (%)28.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean372.83871
Minimum0
Maximum126781
Zeros157
Zeros (%)9.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:14.078785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median46
Q3160
95-th percentile988.7
Maximum126781
Range126781
Interquartile range (IQR)153

Descriptive statistics

Standard deviation3406.5552
Coefficient of variation (CV)9.1368067
Kurtosis1142.5366
Mean372.83871
Median Absolute Deviation (MAD)45
Skewness31.630273
Sum624132
Variance11604618
MonotonicityNot monotonic
2024-04-06T17:03:14.338257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 157
 
9.2%
1 73
 
4.3%
2 49
 
2.9%
5 38
 
2.2%
3 36
 
2.1%
4 33
 
1.9%
10 23
 
1.4%
9 22
 
1.3%
6 22
 
1.3%
7 19
 
1.1%
Other values (468) 1202
70.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 157
9.2%
1 73
4.3%
2 49
 
2.9%
3 36
 
2.1%
4 33
 
1.9%
5 38
 
2.2%
6 22
 
1.3%
7 19
 
1.1%
8 17
 
1.0%
9 22
 
1.3%
ValueCountFrequency (%)
126781 1
0.1%
33876 1
0.1%
22577 1
0.1%
21055 1
0.1%
16202 1
0.1%
14676 1
0.1%
11542 1
0.1%
11104 1
0.1%
8333 1
0.1%
7957 1
0.1%

2021-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct460
Distinct (%)27.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean360.2945
Minimum0
Maximum128981
Zeros160
Zeros (%)9.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:14.613954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median39
Q3140
95-th percentile957.1
Maximum128981
Range128981
Interquartile range (IQR)133

Descriptive statistics

Standard deviation3427.7978
Coefficient of variation (CV)9.5138775
Kurtosis1193.1977
Mean360.2945
Median Absolute Deviation (MAD)38
Skewness32.524661
Sum603133
Variance11749798
MonotonicityNot monotonic
2024-04-06T17:03:14.980488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 160
 
9.4%
1 56
 
3.3%
2 54
 
3.2%
3 40
 
2.4%
6 38
 
2.2%
4 29
 
1.7%
8 27
 
1.6%
5 26
 
1.5%
10 25
 
1.5%
15 25
 
1.5%
Other values (450) 1194
70.3%
ValueCountFrequency (%)
0 160
9.4%
1 56
 
3.3%
2 54
 
3.2%
3 40
 
2.4%
4 29
 
1.7%
5 26
 
1.5%
6 38
 
2.2%
7 24
 
1.4%
8 27
 
1.6%
9 23
 
1.4%
ValueCountFrequency (%)
128981 1
0.1%
33863 1
0.1%
18355 1
0.1%
18190 1
0.1%
17285 1
0.1%
13150 1
0.1%
11152 1
0.1%
10966 1
0.1%
9461 1
0.1%
8134 1
0.1%

2021-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct443
Distinct (%)26.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean344.3411
Minimum0
Maximum121329
Zeros175
Zeros (%)10.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:15.312271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median41
Q3133.75
95-th percentile969.8
Maximum121329
Range121329
Interquartile range (IQR)126.75

Descriptive statistics

Standard deviation3233.1613
Coefficient of variation (CV)9.3894146
Kurtosis1180.5496
Mean344.3411
Median Absolute Deviation (MAD)39.5
Skewness32.300498
Sum576427
Variance10453332
MonotonicityNot monotonic
2024-04-06T17:03:15.730005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 175
 
10.3%
1 52
 
3.1%
3 45
 
2.7%
2 43
 
2.5%
5 38
 
2.2%
4 29
 
1.7%
8 27
 
1.6%
6 25
 
1.5%
10 24
 
1.4%
14 22
 
1.3%
Other values (433) 1194
70.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 175
10.3%
1 52
 
3.1%
2 43
 
2.5%
3 45
 
2.7%
4 29
 
1.7%
5 38
 
2.2%
6 25
 
1.5%
7 20
 
1.2%
8 27
 
1.6%
9 19
 
1.1%
ValueCountFrequency (%)
121329 1
0.1%
32310 1
0.1%
17960 1
0.1%
17205 1
0.1%
15733 1
0.1%
13618 1
0.1%
10979 1
0.1%
9532 1
0.1%
9083 1
0.1%
7933 1
0.1%

2021-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct451
Distinct (%)26.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean331.47013
Minimum0
Maximum117494
Zeros183
Zeros (%)10.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:16.141623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median37
Q3126.75
95-th percentile911.35
Maximum117494
Range117494
Interquartile range (IQR)119.75

Descriptive statistics

Standard deviation3128.7193
Coefficient of variation (CV)9.4389178
Kurtosis1184.2664
Mean331.47013
Median Absolute Deviation (MAD)36
Skewness32.376662
Sum554881
Variance9788884.7
MonotonicityNot monotonic
2024-04-06T17:03:16.415600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 183
 
10.8%
1 64
 
3.8%
2 47
 
2.8%
4 28
 
1.6%
3 28
 
1.6%
6 27
 
1.6%
5 27
 
1.6%
9 26
 
1.5%
15 26
 
1.5%
10 23
 
1.4%
Other values (441) 1195
70.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 183
10.8%
1 64
 
3.8%
2 47
 
2.8%
3 28
 
1.6%
4 28
 
1.6%
5 27
 
1.6%
6 27
 
1.6%
7 23
 
1.4%
8 20
 
1.2%
9 26
 
1.5%
ValueCountFrequency (%)
117494 1
0.1%
31826 1
0.1%
16950 1
0.1%
15456 1
0.1%
15076 1
0.1%
13030 1
0.1%
11299 1
0.1%
8849 1
0.1%
8638 1
0.1%
7633 1
0.1%

2021-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct441
Distinct (%)26.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean325.75209
Minimum0
Maximum116617
Zeros192
Zeros (%)11.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:16.671492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median35
Q3121.75
95-th percentile918.35
Maximum116617
Range116617
Interquartile range (IQR)116.75

Descriptive statistics

Standard deviation3096.4885
Coefficient of variation (CV)9.5056595
Kurtosis1197.265
Mean325.75209
Median Absolute Deviation (MAD)34
Skewness32.588215
Sum545309
Variance9588240.8
MonotonicityNot monotonic
2024-04-06T17:03:17.081113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 192
 
11.3%
1 64
 
3.8%
2 52
 
3.1%
5 44
 
2.6%
3 38
 
2.2%
4 36
 
2.1%
9 24
 
1.4%
14 24
 
1.4%
6 23
 
1.4%
11 21
 
1.2%
Other values (431) 1156
68.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 192
11.3%
1 64
 
3.8%
2 52
 
3.1%
3 38
 
2.2%
4 36
 
2.1%
5 44
 
2.6%
6 23
 
1.4%
7 18
 
1.1%
8 21
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
116617 1
0.1%
30705 1
0.1%
16036 1
0.1%
14924 1
0.1%
14860 1
0.1%
12869 1
0.1%
10884 1
0.1%
8854 1
0.1%
8632 1
0.1%
7674 1
0.1%

2021-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct431
Distinct (%)25.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean295.51374
Minimum0
Maximum107652
Zeros197
Zeros (%)11.6%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:17.427046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3106.75
95-th percentile876.35
Maximum107652
Range107652
Interquartile range (IQR)101.75

Descriptive statistics

Standard deviation2849.0028
Coefficient of variation (CV)9.6408473
Kurtosis1213.0434
Mean295.51374
Median Absolute Deviation (MAD)31
Skewness32.865194
Sum494690
Variance8116817.1
MonotonicityNot monotonic
2024-04-06T17:03:17.704877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 197
 
11.6%
1 74
 
4.4%
2 56
 
3.3%
3 47
 
2.8%
4 39
 
2.3%
5 27
 
1.6%
9 24
 
1.4%
14 24
 
1.4%
7 23
 
1.4%
12 23
 
1.4%
Other values (421) 1140
67.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 197
11.6%
1 74
 
4.4%
2 56
 
3.3%
3 47
 
2.8%
4 39
 
2.3%
5 27
 
1.6%
6 19
 
1.1%
7 23
 
1.4%
8 21
 
1.2%
9 24
 
1.4%
ValueCountFrequency (%)
107652 1
0.1%
28071 1
0.1%
13555 1
0.1%
13275 1
0.1%
13127 1
0.1%
11217 1
0.1%
9485 1
0.1%
9182 1
0.1%
8611 1
0.1%
6901 1
0.1%

2021-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct426
Distinct (%)25.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean290.77897
Minimum0
Maximum102021
Zeros179
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:17.956553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median34
Q3116
95-th percentile832.35
Maximum102021
Range102021
Interquartile range (IQR)111

Descriptive statistics

Standard deviation2706.4139
Coefficient of variation (CV)9.3074608
Kurtosis1199.9897
Mean290.77897
Median Absolute Deviation (MAD)33
Skewness32.579646
Sum486764
Variance7324676.2
MonotonicityNot monotonic
2024-04-06T17:03:18.238788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
10.5%
1 77
 
4.5%
2 59
 
3.5%
3 40
 
2.4%
4 38
 
2.2%
5 34
 
2.0%
10 28
 
1.6%
7 28
 
1.6%
6 23
 
1.4%
9 21
 
1.2%
Other values (416) 1147
67.6%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 179
10.5%
1 77
4.5%
2 59
 
3.5%
3 40
 
2.4%
4 38
 
2.2%
5 34
 
2.0%
6 23
 
1.4%
7 28
 
1.6%
8 18
 
1.1%
9 21
 
1.2%
ValueCountFrequency (%)
102021 1
0.1%
24560 1
0.1%
15124 1
0.1%
14057 1
0.1%
11771 1
0.1%
11596 1
0.1%
10121 1
0.1%
8196 1
0.1%
8139 1
0.1%
7601 1
0.1%

2021-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct443
Distinct (%)26.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean294.11051
Minimum0
Maximum96138
Zeros191
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:18.511282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median39
Q3134
95-th percentile822.25
Maximum96138
Range96138
Interquartile range (IQR)128

Descriptive statistics

Standard deviation2578.8493
Coefficient of variation (CV)8.7683003
Kurtosis1147.3314
Mean294.11051
Median Absolute Deviation (MAD)38
Skewness31.620266
Sum492341
Variance6650463.7
MonotonicityNot monotonic
2024-04-06T17:03:18.815661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 191
 
11.2%
1 60
 
3.5%
2 50
 
2.9%
4 37
 
2.2%
3 32
 
1.9%
5 32
 
1.9%
6 28
 
1.6%
9 26
 
1.5%
14 20
 
1.2%
11 19
 
1.1%
Other values (433) 1179
69.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 191
11.2%
1 60
 
3.5%
2 50
 
2.9%
3 32
 
1.9%
4 37
 
2.2%
5 32
 
1.9%
6 28
 
1.6%
7 19
 
1.1%
8 16
 
0.9%
9 26
 
1.5%
ValueCountFrequency (%)
96138 1
0.1%
21437 1
0.1%
17255 1
0.1%
17209 1
0.1%
12946 1
0.1%
11546 1
0.1%
11222 1
0.1%
7668 1
0.1%
6950 1
0.1%
6227 1
0.1%

2021-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct441
Distinct (%)26.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean287.79988
Minimum0
Maximum85278
Zeros179
Zeros (%)10.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:19.080972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median43
Q3150.75
95-th percentile725.05
Maximum85278
Range85278
Interquartile range (IQR)143.75

Descriptive statistics

Standard deviation2357.0325
Coefficient of variation (CV)8.1898314
Kurtosis1021.4297
Mean287.79988
Median Absolute Deviation (MAD)42
Skewness29.429485
Sum481777
Variance5555602.2
MonotonicityNot monotonic
2024-04-06T17:03:19.488138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 179
 
10.5%
1 55
 
3.2%
2 47
 
2.8%
4 40
 
2.4%
3 30
 
1.8%
5 29
 
1.7%
6 28
 
1.6%
9 27
 
1.6%
7 24
 
1.4%
20 21
 
1.2%
Other values (431) 1194
70.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 179
10.5%
1 55
 
3.2%
2 47
 
2.8%
3 30
 
1.8%
4 40
 
2.4%
5 29
 
1.7%
6 28
 
1.6%
7 24
 
1.4%
8 20
 
1.2%
9 27
 
1.6%
ValueCountFrequency (%)
85278 1
0.1%
20754 1
0.1%
19791 1
0.1%
19482 1
0.1%
14515 1
0.1%
11678 1
0.1%
10637 1
0.1%
6659 1
0.1%
6479 1
0.1%
5525 1
0.1%

2022-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)22.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean214.4313
Minimum0
Maximum65457
Zeros190
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:20.333600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median31
Q3105
95-th percentile564.05
Maximum65457
Range65457
Interquartile range (IQR)100

Descriptive statistics

Standard deviation1792.3391
Coefficient of variation (CV)8.3585702
Kurtosis1059.0739
Mean214.4313
Median Absolute Deviation (MAD)30
Skewness30.089792
Sum358958
Variance3212479.4
MonotonicityNot monotonic
2024-04-06T17:03:20.708010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
11.2%
1 76
 
4.5%
2 69
 
4.1%
3 38
 
2.2%
5 34
 
2.0%
4 34
 
2.0%
8 27
 
1.6%
10 24
 
1.4%
16 21
 
1.2%
17 19
 
1.1%
Other values (369) 1142
67.3%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 190
11.2%
1 76
 
4.5%
2 69
 
4.1%
3 38
 
2.2%
4 34
 
2.0%
5 34
 
2.0%
6 17
 
1.0%
7 19
 
1.1%
8 27
 
1.6%
9 17
 
1.0%
ValueCountFrequency (%)
65457 1
0.1%
15284 1
0.1%
15033 1
0.1%
13483 1
0.1%
10569 1
0.1%
8479 1
0.1%
8048 1
0.1%
5045 1
0.1%
4879 1
0.1%
4159 1
0.1%

2022-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct379
Distinct (%)22.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean210.04659
Minimum0
Maximum65010
Zeros218
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:20.996341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median29.5
Q3106
95-th percentile567.55
Maximum65010
Range65010
Interquartile range (IQR)102

Descriptive statistics

Standard deviation1772.5912
Coefficient of variation (CV)8.439038
Kurtosis1076.7884
Mean210.04659
Median Absolute Deviation (MAD)28.5
Skewness30.405153
Sum351618
Variance3142079.5
MonotonicityNot monotonic
2024-04-06T17:03:21.300576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 218
 
12.8%
1 85
 
5.0%
2 48
 
2.8%
4 46
 
2.7%
3 41
 
2.4%
12 28
 
1.6%
9 28
 
1.6%
6 27
 
1.6%
5 27
 
1.6%
8 24
 
1.4%
Other values (369) 1102
64.9%
ValueCountFrequency (%)
0 218
12.8%
1 85
 
5.0%
2 48
 
2.8%
3 41
 
2.4%
4 46
 
2.7%
5 27
 
1.6%
6 27
 
1.6%
7 21
 
1.2%
8 24
 
1.4%
9 28
 
1.6%
ValueCountFrequency (%)
65010 1
0.1%
15095 1
0.1%
14837 1
0.1%
13145 1
0.1%
9659 1
0.1%
7736 1
0.1%
7498 1
0.1%
5256 1
0.1%
4722 1
0.1%
4373 1
0.1%

2022-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct420
Distinct (%)25.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean251.98746
Minimum0
Maximum79353
Zeros196
Zeros (%)11.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:21.581335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median35
Q3127.75
95-th percentile672.7
Maximum79353
Range79353
Interquartile range (IQR)123.75

Descriptive statistics

Standard deviation2156.5075
Coefficient of variation (CV)8.5579955
Kurtosis1091.2024
Mean251.98746
Median Absolute Deviation (MAD)34
Skewness30.671224
Sum421827
Variance4650524.6
MonotonicityNot monotonic
2024-04-06T17:03:21.898667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 196
 
11.5%
1 71
 
4.2%
2 64
 
3.8%
3 62
 
3.7%
4 39
 
2.3%
6 35
 
2.1%
19 20
 
1.2%
8 18
 
1.1%
22 18
 
1.1%
9 17
 
1.0%
Other values (410) 1134
66.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 196
11.5%
1 71
 
4.2%
2 64
 
3.8%
3 62
 
3.7%
4 39
 
2.3%
5 17
 
1.0%
6 35
 
2.1%
7 15
 
0.9%
8 18
 
1.1%
9 17
 
1.0%
ValueCountFrequency (%)
79353 1
0.1%
18427 1
0.1%
18198 1
0.1%
16001 1
0.1%
10285 1
0.1%
8766 1
0.1%
8448 1
0.1%
6416 1
0.1%
6328 1
0.1%
5354 1
0.1%

2022-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct423
Distinct (%)25.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean263.82616
Minimum0
Maximum86048
Zeros200
Zeros (%)11.8%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:22.298493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median34.5
Q3126.75
95-th percentile726.8
Maximum86048
Range86048
Interquartile range (IQR)121.75

Descriptive statistics

Standard deviation2319.0444
Coefficient of variation (CV)8.790047
Kurtosis1127.3486
Mean263.82616
Median Absolute Deviation (MAD)33.5
Skewness31.304707
Sum441645
Variance5377966.9
MonotonicityNot monotonic
2024-04-06T17:03:22.586316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 200
 
11.8%
1 75
 
4.4%
2 52
 
3.1%
3 41
 
2.4%
4 36
 
2.1%
5 36
 
2.1%
6 30
 
1.8%
7 28
 
1.6%
12 21
 
1.2%
9 21
 
1.2%
Other values (413) 1134
66.8%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 200
11.8%
1 75
 
4.4%
2 52
 
3.1%
3 41
 
2.4%
4 36
 
2.1%
5 36
 
2.1%
6 30
 
1.8%
7 28
 
1.6%
8 15
 
0.9%
9 21
 
1.2%
ValueCountFrequency (%)
86048 1
0.1%
20864 1
0.1%
16658 1
0.1%
15643 1
0.1%
11316 1
0.1%
10155 1
0.1%
9026 1
0.1%
6753 1
0.1%
6520 1
0.1%
5463 1
0.1%

2022-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct426
Distinct (%)25.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean270.50777
Minimum0
Maximum90182
Zeros177
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:22.995473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median34
Q3121
95-th percentile712.1
Maximum90182
Range90182
Interquartile range (IQR)115

Descriptive statistics

Standard deviation2416.3275
Coefficient of variation (CV)8.9325622
Kurtosis1153.1336
Mean270.50777
Median Absolute Deviation (MAD)33
Skewness31.74353
Sum452830
Variance5838638.4
MonotonicityNot monotonic
2024-04-06T17:03:23.273845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 177
 
10.4%
1 73
 
4.3%
2 59
 
3.5%
3 45
 
2.7%
4 33
 
1.9%
14 27
 
1.6%
5 27
 
1.6%
8 26
 
1.5%
10 23
 
1.4%
15 23
 
1.4%
Other values (416) 1161
68.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 177
10.4%
1 73
4.3%
2 59
 
3.5%
3 45
 
2.7%
4 33
 
1.9%
5 27
 
1.6%
6 20
 
1.2%
7 22
 
1.3%
8 26
 
1.5%
9 20
 
1.2%
ValueCountFrequency (%)
90182 1
0.1%
21195 1
0.1%
15810 1
0.1%
15150 1
0.1%
11843 1
0.1%
11736 1
0.1%
9431 1
0.1%
6497 1
0.1%
6309 1
0.1%
6211 1
0.1%

2022-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct390
Distinct (%)23.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean231.273
Minimum0
Maximum74746
Zeros190
Zeros (%)11.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:23.561830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median32
Q3109.75
95-th percentile613.4
Maximum74746
Range74746
Interquartile range (IQR)104.75

Descriptive statistics

Standard deviation2017.1222
Coefficient of variation (CV)8.7218233
Kurtosis1120.9839
Mean231.273
Median Absolute Deviation (MAD)31
Skewness31.17627
Sum387151
Variance4068782.1
MonotonicityNot monotonic
2024-04-06T17:03:23.871665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 190
 
11.2%
1 75
 
4.4%
2 57
 
3.4%
3 43
 
2.5%
4 33
 
1.9%
5 30
 
1.8%
7 28
 
1.6%
10 27
 
1.6%
6 27
 
1.6%
8 26
 
1.5%
Other values (380) 1138
67.0%
ValueCountFrequency (%)
0 190
11.2%
1 75
 
4.4%
2 57
 
3.4%
3 43
 
2.5%
4 33
 
1.9%
5 30
 
1.8%
6 27
 
1.6%
7 28
 
1.6%
8 26
 
1.5%
9 20
 
1.2%
ValueCountFrequency (%)
74746 1
0.1%
17721 1
0.1%
13778 1
0.1%
13229 1
0.1%
11294 1
0.1%
10320 1
0.1%
8665 1
0.1%
5445 1
0.1%
5244 1
0.1%
5015 1
0.1%

2022-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct364
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean193.23477
Minimum0
Maximum60122
Zeros228
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:24.230841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median27.5
Q392.75
95-th percentile504.05
Maximum60122
Range60122
Interquartile range (IQR)88.75

Descriptive statistics

Standard deviation1638.252
Coefficient of variation (CV)8.4780398
Kurtosis1079.1951
Mean193.23477
Median Absolute Deviation (MAD)26.5
Skewness30.43705
Sum323475
Variance2683869.8
MonotonicityNot monotonic
2024-04-06T17:03:24.557330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 228
 
13.4%
1 75
 
4.4%
2 54
 
3.2%
3 48
 
2.8%
8 37
 
2.2%
4 37
 
2.2%
5 35
 
2.1%
9 31
 
1.8%
10 26
 
1.5%
14 21
 
1.2%
Other values (354) 1082
63.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 228
13.4%
1 75
 
4.4%
2 54
 
3.2%
3 48
 
2.8%
4 37
 
2.2%
5 35
 
2.1%
6 15
 
0.9%
7 18
 
1.1%
8 37
 
2.2%
9 31
 
1.8%
ValueCountFrequency (%)
60122 1
0.1%
14556 1
0.1%
11847 1
0.1%
11447 1
0.1%
10180 1
0.1%
8238 1
0.1%
7956 1
0.1%
4287 1
0.1%
4201 1
0.1%
3860 1
0.1%

2022-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct350
Distinct (%)20.9%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean177.44982
Minimum0
Maximum55097
Zeros228
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:24.844818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median26
Q391
95-th percentile463.35
Maximum55097
Range55097
Interquartile range (IQR)87

Descriptive statistics

Standard deviation1498.3641
Coefficient of variation (CV)8.4438752
Kurtosis1087.2219
Mean177.44982
Median Absolute Deviation (MAD)25
Skewness30.567504
Sum297051
Variance2245095.1
MonotonicityNot monotonic
2024-04-06T17:03:25.130381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 228
 
13.4%
1 73
 
4.3%
2 58
 
3.4%
3 45
 
2.7%
5 37
 
2.2%
6 35
 
2.1%
7 34
 
2.0%
4 32
 
1.9%
8 26
 
1.5%
9 25
 
1.5%
Other values (340) 1081
63.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 228
13.4%
1 73
 
4.3%
2 58
 
3.4%
3 45
 
2.7%
4 32
 
1.9%
5 37
 
2.2%
6 35
 
2.1%
7 34
 
2.0%
8 26
 
1.5%
9 25
 
1.5%
ValueCountFrequency (%)
55097 1
0.1%
12638 1
0.1%
11272 1
0.1%
10810 1
0.1%
8899 1
0.1%
7430 1
0.1%
6592 1
0.1%
4172 1
0.1%
3871 1
0.1%
3819 1
0.1%

2022-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)20.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean159.908
Minimum0
Maximum50190
Zeros212
Zeros (%)12.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:25.399243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q380
95-th percentile419.35
Maximum50190
Range50190
Interquartile range (IQR)77

Descriptive statistics

Standard deviation1360.8489
Coefficient of variation (CV)8.5101985
Kurtosis1099.9116
Mean159.908
Median Absolute Deviation (MAD)22
Skewness30.787675
Sum267686
Variance1851909.6
MonotonicityNot monotonic
2024-04-06T17:03:25.707517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 212
 
12.5%
1 100
 
5.9%
2 79
 
4.7%
3 53
 
3.1%
4 48
 
2.8%
5 32
 
1.9%
10 29
 
1.7%
9 26
 
1.5%
8 25
 
1.5%
6 25
 
1.5%
Other values (326) 1045
61.5%
ValueCountFrequency (%)
0 212
12.5%
1 100
5.9%
2 79
 
4.7%
3 53
 
3.1%
4 48
 
2.8%
5 32
 
1.9%
6 25
 
1.5%
7 24
 
1.4%
8 25
 
1.5%
9 26
 
1.5%
ValueCountFrequency (%)
50190 1
0.1%
11429 1
0.1%
9867 1
0.1%
9115 1
0.1%
8735 1
0.1%
6776 1
0.1%
5658 1
0.1%
3807 1
0.1%
3617 1
0.1%
3298 1
0.1%

2022-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)19.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean160.58961
Minimum0
Maximum48780
Zeros238
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:25.982993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q378
95-th percentile397.75
Maximum48780
Range48780
Interquartile range (IQR)75

Descriptive statistics

Standard deviation1337.2179
Coefficient of variation (CV)8.3269269
Kurtosis1053.0852
Mean160.58961
Median Absolute Deviation (MAD)22
Skewness29.920728
Sum268827
Variance1788151.7
MonotonicityNot monotonic
2024-04-06T17:03:26.298262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 238
 
14.0%
1 83
 
4.9%
2 67
 
3.9%
3 48
 
2.8%
4 45
 
2.7%
6 37
 
2.2%
8 32
 
1.9%
12 28
 
1.6%
7 27
 
1.6%
5 27
 
1.6%
Other values (314) 1042
61.4%
ValueCountFrequency (%)
0 238
14.0%
1 83
 
4.9%
2 67
 
3.9%
3 48
 
2.8%
4 45
 
2.7%
5 27
 
1.6%
6 37
 
2.2%
7 27
 
1.6%
8 32
 
1.9%
9 23
 
1.4%
ValueCountFrequency (%)
48780 1
0.1%
10890 1
0.1%
9688 1
0.1%
9533 1
0.1%
9254 1
0.1%
8013 1
0.1%
4900 1
0.1%
4217 1
0.1%
3885 1
0.1%
3414 1
0.1%

2022-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct324
Distinct (%)19.4%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean154.17384
Minimum0
Maximum46150
Zeros228
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:26.659966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q381
95-th percentile408.5
Maximum46150
Range46150
Interquartile range (IQR)78

Descriptive statistics

Standard deviation1271.7303
Coefficient of variation (CV)8.2486779
Kurtosis1033.4525
Mean154.17384
Median Absolute Deviation (MAD)23
Skewness29.643981
Sum258087
Variance1617298
MonotonicityNot monotonic
2024-04-06T17:03:26.998104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 228
 
13.4%
1 96
 
5.7%
2 70
 
4.1%
4 56
 
3.3%
5 45
 
2.7%
3 43
 
2.5%
7 30
 
1.8%
9 26
 
1.5%
8 22
 
1.3%
12 21
 
1.2%
Other values (314) 1037
61.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 228
13.4%
1 96
5.7%
2 70
 
4.1%
3 43
 
2.5%
4 56
 
3.3%
5 45
 
2.7%
6 15
 
0.9%
7 30
 
1.8%
8 22
 
1.3%
9 26
 
1.5%
ValueCountFrequency (%)
46150 1
0.1%
11099 1
0.1%
10835 1
0.1%
10033 1
0.1%
7974 1
0.1%
6758 1
0.1%
4317 1
0.1%
3598 1
0.1%
3551 1
0.1%
3172 1
0.1%

2022-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct319
Distinct (%)19.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean149.52449
Minimum0
Maximum44313
Zeros239
Zeros (%)14.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:27.252079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median24
Q378
95-th percentile383.15
Maximum44313
Range44313
Interquartile range (IQR)75

Descriptive statistics

Standard deviation1223.4374
Coefficient of variation (CV)8.1821871
Kurtosis1025.7501
Mean149.52449
Median Absolute Deviation (MAD)23
Skewness29.507838
Sum250304
Variance1496799
MonotonicityNot monotonic
2024-04-06T17:03:27.494647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 239
 
14.1%
1 77
 
4.5%
2 72
 
4.2%
3 53
 
3.1%
4 43
 
2.5%
5 31
 
1.8%
6 31
 
1.8%
9 27
 
1.6%
13 25
 
1.5%
7 22
 
1.3%
Other values (309) 1054
62.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 239
14.1%
1 77
 
4.5%
2 72
 
4.2%
3 53
 
3.1%
4 43
 
2.5%
5 31
 
1.8%
6 31
 
1.8%
7 22
 
1.3%
8 21
 
1.2%
9 27
 
1.6%
ValueCountFrequency (%)
44313 1
0.1%
10547 1
0.1%
10331 1
0.1%
9920 1
0.1%
8199 1
0.1%
6338 1
0.1%
4431 1
0.1%
3675 1
0.1%
3060 1
0.1%
2996 1
0.1%

2023-01
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct294
Distinct (%)17.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean123.34468
Minimum0
Maximum38297
Zeros281
Zeros (%)16.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:27.723638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median17
Q362.75
95-th percentile307.35
Maximum38297
Range38297
Interquartile range (IQR)60.75

Descriptive statistics

Standard deviation1043.2683
Coefficient of variation (CV)8.4581535
Kurtosis1080.5665
Mean123.34468
Median Absolute Deviation (MAD)17
Skewness30.468735
Sum206479
Variance1088408.7
MonotonicityNot monotonic
2024-04-06T17:03:28.438122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 281
 
16.5%
1 100
 
5.9%
3 58
 
3.4%
2 47
 
2.8%
4 41
 
2.4%
5 37
 
2.2%
9 35
 
2.1%
6 30
 
1.8%
12 29
 
1.7%
8 29
 
1.7%
Other values (284) 987
58.1%
ValueCountFrequency (%)
0 281
16.5%
1 100
 
5.9%
2 47
 
2.8%
3 58
 
3.4%
4 41
 
2.4%
5 37
 
2.2%
6 30
 
1.8%
7 28
 
1.6%
8 29
 
1.7%
9 35
 
2.1%
ValueCountFrequency (%)
38297 1
0.1%
8862 1
0.1%
8814 1
0.1%
7016 1
0.1%
6458 1
0.1%
4418 1
0.1%
4262 1
0.1%
3038 1
0.1%
2771 1
0.1%
2656 1
0.1%

2023-02
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct345
Distinct (%)20.6%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean166.43309
Minimum0
Maximum55492
Zeros261
Zeros (%)15.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:28.668148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median21
Q375
95-th percentile439.7
Maximum55492
Range55492
Interquartile range (IQR)73

Descriptive statistics

Standard deviation1490.8997
Coefficient of variation (CV)8.9579521
Kurtosis1142.3026
Mean166.43309
Median Absolute Deviation (MAD)21
Skewness31.608015
Sum278609
Variance2222781.9
MonotonicityNot monotonic
2024-04-06T17:03:28.983939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 261
 
15.4%
1 93
 
5.5%
2 69
 
4.1%
4 51
 
3.0%
3 44
 
2.6%
5 35
 
2.1%
8 25
 
1.5%
10 24
 
1.4%
6 23
 
1.4%
18 22
 
1.3%
Other values (335) 1027
60.5%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 261
15.4%
1 93
 
5.5%
2 69
 
4.1%
3 44
 
2.6%
4 51
 
3.0%
5 35
 
2.1%
6 23
 
1.4%
7 19
 
1.1%
8 25
 
1.5%
9 21
 
1.2%
ValueCountFrequency (%)
55492 1
0.1%
13924 1
0.1%
11889 1
0.1%
8459 1
0.1%
6930 1
0.1%
5670 1
0.1%
4857 1
0.1%
3927 1
0.1%
3807 1
0.1%
3510 1
0.1%

2023-03
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct371
Distinct (%)22.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean206.9994
Minimum0
Maximum70090
Zeros219
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:29.286183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median26
Q390.75
95-th percentile543.1
Maximum70090
Range70090
Interquartile range (IQR)87.75

Descriptive statistics

Standard deviation1876.4494
Coefficient of variation (CV)9.0649991
Kurtosis1158.1115
Mean206.9994
Median Absolute Deviation (MAD)26
Skewness31.879402
Sum346517
Variance3521062.4
MonotonicityNot monotonic
2024-04-06T17:03:29.567220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 219
 
12.9%
1 85
 
5.0%
2 76
 
4.5%
3 54
 
3.2%
5 34
 
2.0%
4 31
 
1.8%
7 27
 
1.6%
9 26
 
1.5%
11 25
 
1.5%
6 25
 
1.5%
Other values (361) 1072
63.1%
ValueCountFrequency (%)
0 219
12.9%
1 85
 
5.0%
2 76
 
4.5%
3 54
 
3.2%
4 31
 
1.8%
5 34
 
2.0%
6 25
 
1.5%
7 27
 
1.6%
8 19
 
1.1%
9 26
 
1.5%
ValueCountFrequency (%)
70090 1
0.1%
17339 1
0.1%
14209 1
0.1%
10725 1
0.1%
7873 1
0.1%
7799 1
0.1%
6427 1
0.1%
4845 1
0.1%
4761 2
0.1%
4360 1
0.1%

2023-04
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct354
Distinct (%)21.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean190.65651
Minimum0
Maximum64212
Zeros220
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:29.918632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q387
95-th percentile490.7
Maximum64212
Range64212
Interquartile range (IQR)84

Descriptive statistics

Standard deviation1723.5422
Coefficient of variation (CV)9.0400384
Kurtosis1146.8157
Mean190.65651
Median Absolute Deviation (MAD)23
Skewness31.696497
Sum319159
Variance2970597.6
MonotonicityNot monotonic
2024-04-06T17:03:30.231615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 220
 
13.0%
1 107
 
6.3%
3 57
 
3.4%
2 52
 
3.1%
5 40
 
2.4%
4 36
 
2.1%
6 32
 
1.9%
7 30
 
1.8%
8 28
 
1.6%
10 25
 
1.5%
Other values (344) 1047
61.7%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 220
13.0%
1 107
6.3%
2 52
 
3.1%
3 57
 
3.4%
4 36
 
2.1%
5 40
 
2.4%
6 32
 
1.9%
7 30
 
1.8%
8 28
 
1.6%
9 20
 
1.2%
ValueCountFrequency (%)
64212 1
0.1%
16523 1
0.1%
12707 1
0.1%
10530 1
0.1%
7644 1
0.1%
7019 1
0.1%
5681 1
0.1%
4311 1
0.1%
4220 1
0.1%
4167 1
0.1%

2023-05
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct373
Distinct (%)22.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean204.46296
Minimum0
Maximum72825
Zeros229
Zeros (%)13.5%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:30.494800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median24
Q382
95-th percentile589.4
Maximum72825
Range72825
Interquartile range (IQR)78

Descriptive statistics

Standard deviation1931.3798
Coefficient of variation (CV)9.4461109
Kurtosis1202.7249
Mean204.46296
Median Absolute Deviation (MAD)24
Skewness32.683469
Sum342271
Variance3730228
MonotonicityNot monotonic
2024-04-06T17:03:30.823591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 229
 
13.5%
1 73
 
4.3%
2 63
 
3.7%
3 49
 
2.9%
4 39
 
2.3%
5 38
 
2.2%
7 35
 
2.1%
6 28
 
1.6%
9 26
 
1.5%
11 24
 
1.4%
Other values (363) 1070
63.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 229
13.5%
1 73
 
4.3%
2 63
 
3.7%
3 49
 
2.9%
4 39
 
2.3%
5 38
 
2.2%
6 28
 
1.6%
7 35
 
2.1%
8 17
 
1.0%
9 26
 
1.5%
ValueCountFrequency (%)
72825 1
0.1%
18900 1
0.1%
10789 1
0.1%
10120 1
0.1%
8382 1
0.1%
7479 1
0.1%
6399 1
0.1%
5194 1
0.1%
4777 1
0.1%
4564 1
0.1%

2023-06
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct363
Distinct (%)21.7%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean196.75627
Minimum0
Maximum70392
Zeros206
Zeros (%)12.1%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:31.207978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median23.5
Q379.75
95-th percentile595.05
Maximum70392
Range70392
Interquartile range (IQR)75.75

Descriptive statistics

Standard deviation1866.1977
Coefficient of variation (CV)9.4848192
Kurtosis1204.6622
Mean196.75627
Median Absolute Deviation (MAD)22.5
Skewness32.725881
Sum329370
Variance3482693.8
MonotonicityNot monotonic
2024-04-06T17:03:31.661040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 206
 
12.1%
1 90
 
5.3%
2 78
 
4.6%
5 49
 
2.9%
3 44
 
2.6%
4 37
 
2.2%
8 33
 
1.9%
7 33
 
1.9%
6 27
 
1.6%
12 23
 
1.4%
Other values (353) 1054
62.1%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 206
12.1%
1 90
5.3%
2 78
 
4.6%
3 44
 
2.6%
4 37
 
2.2%
5 49
 
2.9%
6 27
 
1.6%
7 33
 
1.9%
8 33
 
1.9%
9 22
 
1.3%
ValueCountFrequency (%)
70392 1
0.1%
18529 1
0.1%
9585 1
0.1%
9300 1
0.1%
8571 1
0.1%
8019 1
0.1%
6173 1
0.1%
4539 1
0.1%
4504 1
0.1%
4406 1
0.1%

2023-07
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct343
Distinct (%)20.5%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean178.80645
Minimum0
Maximum63042
Zeros236
Zeros (%)13.9%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:32.063798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q374.75
95-th percentile498.7
Maximum63042
Range63042
Interquartile range (IQR)71.75

Descriptive statistics

Standard deviation1674.5711
Coefficient of variation (CV)9.3652722
Kurtosis1195.095
Mean178.80645
Median Absolute Deviation (MAD)21
Skewness32.542843
Sum299322
Variance2804188.3
MonotonicityNot monotonic
2024-04-06T17:03:32.404944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 236
 
13.9%
1 106
 
6.2%
2 69
 
4.1%
3 45
 
2.7%
5 35
 
2.1%
4 32
 
1.9%
8 30
 
1.8%
6 29
 
1.7%
10 29
 
1.7%
7 28
 
1.6%
Other values (333) 1035
61.0%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 236
13.9%
1 106
6.2%
2 69
 
4.1%
3 45
 
2.7%
4 32
 
1.9%
5 35
 
2.1%
6 29
 
1.7%
7 28
 
1.6%
8 30
 
1.8%
9 22
 
1.3%
ValueCountFrequency (%)
63042 1
0.1%
16451 1
0.1%
8626 1
0.1%
8145 1
0.1%
7932 1
0.1%
7617 1
0.1%
6461 1
0.1%
4198 1
0.1%
4093 1
0.1%
4005 1
0.1%

2023-08
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct356
Distinct (%)21.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean184.76703
Minimum0
Maximum66748
Zeros226
Zeros (%)13.3%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:32.799396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median21
Q371
95-th percentile520.35
Maximum66748
Range66748
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1765.12
Coefficient of variation (CV)9.5532197
Kurtosis1216.4099
Mean184.76703
Median Absolute Deviation (MAD)20
Skewness32.919658
Sum309300
Variance3115648.5
MonotonicityNot monotonic
2024-04-06T17:03:33.105565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 226
 
13.3%
1 81
 
4.8%
2 59
 
3.5%
3 52
 
3.1%
6 48
 
2.8%
4 43
 
2.5%
5 40
 
2.4%
8 28
 
1.6%
7 28
 
1.6%
9 27
 
1.6%
Other values (346) 1042
61.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 226
13.3%
1 81
 
4.8%
2 59
 
3.5%
3 52
 
3.1%
4 43
 
2.5%
5 40
 
2.4%
6 48
 
2.8%
7 28
 
1.6%
8 28
 
1.6%
9 27
 
1.6%
ValueCountFrequency (%)
66748 1
0.1%
17113 1
0.1%
8844 1
0.1%
8498 1
0.1%
8279 1
0.1%
7159 1
0.1%
6155 1
0.1%
4343 1
0.1%
4186 1
0.1%
4091 1
0.1%

2023-09
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct340
Distinct (%)20.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean172.75329
Minimum0
Maximum62826
Zeros233
Zeros (%)13.7%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:33.376744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q363
95-th percentile508.1
Maximum62826
Range62826
Interquartile range (IQR)60

Descriptive statistics

Standard deviation1660.5667
Coefficient of variation (CV)9.6123595
Kurtosis1219.2457
Mean172.75329
Median Absolute Deviation (MAD)18
Skewness32.982377
Sum289189
Variance2757481.7
MonotonicityNot monotonic
2024-04-06T17:03:33.635794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 233
 
13.7%
1 92
 
5.4%
2 58
 
3.4%
3 57
 
3.4%
4 56
 
3.3%
5 42
 
2.5%
8 31
 
1.8%
6 30
 
1.8%
11 29
 
1.7%
14 29
 
1.7%
Other values (330) 1017
59.9%
ValueCountFrequency (%)
0 233
13.7%
1 92
 
5.4%
2 58
 
3.4%
3 57
 
3.4%
4 56
 
3.3%
5 42
 
2.5%
6 30
 
1.8%
7 28
 
1.6%
8 31
 
1.8%
9 25
 
1.5%
ValueCountFrequency (%)
62826 1
0.1%
16408 1
0.1%
8242 1
0.1%
7452 1
0.1%
7409 1
0.1%
7101 1
0.1%
5718 1
0.1%
4061 1
0.1%
3861 1
0.1%
3817 1
0.1%

2023-10
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct340
Distinct (%)20.3%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean170.08065
Minimum0
Maximum61592
Zeros245
Zeros (%)14.4%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:33.902230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median19
Q365
95-th percentile487.35
Maximum61592
Range61592
Interquartile range (IQR)62

Descriptive statistics

Standard deviation1621.4394
Coefficient of variation (CV)9.5333561
Kurtosis1237.021
Mean170.08065
Median Absolute Deviation (MAD)19
Skewness33.233893
Sum284715
Variance2629065.6
MonotonicityNot monotonic
2024-04-06T17:03:34.163650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 245
 
14.4%
1 85
 
5.0%
2 75
 
4.4%
4 49
 
2.9%
3 48
 
2.8%
5 39
 
2.3%
8 34
 
2.0%
6 30
 
1.8%
7 26
 
1.5%
17 26
 
1.5%
Other values (330) 1017
59.9%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 245
14.4%
1 85
 
5.0%
2 75
 
4.4%
3 48
 
2.8%
4 49
 
2.9%
5 39
 
2.3%
6 30
 
1.8%
7 26
 
1.5%
8 34
 
2.0%
9 23
 
1.4%
ValueCountFrequency (%)
61592 1
0.1%
14483 1
0.1%
7750 1
0.1%
7472 1
0.1%
7436 1
0.1%
6731 1
0.1%
5814 1
0.1%
4240 1
0.1%
4101 1
0.1%
3965 1
0.1%

2023-11
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct338
Distinct (%)20.2%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean176.90442
Minimum0
Maximum60411
Zeros221
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:34.454370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median23
Q378.75
95-th percentile484.1
Maximum60411
Range60411
Interquartile range (IQR)75.75

Descriptive statistics

Standard deviation1605.297
Coefficient of variation (CV)9.0743748
Kurtosis1191.23
Mean176.90442
Median Absolute Deviation (MAD)22
Skewness32.406918
Sum296138
Variance2576978.5
MonotonicityNot monotonic
2024-04-06T17:03:34.790486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 221
 
13.0%
1 87
 
5.1%
2 65
 
3.8%
3 56
 
3.3%
6 35
 
2.1%
4 32
 
1.9%
8 30
 
1.8%
5 29
 
1.7%
7 27
 
1.6%
12 27
 
1.6%
Other values (328) 1065
62.7%
ValueCountFrequency (%)
0 221
13.0%
1 87
 
5.1%
2 65
 
3.8%
3 56
 
3.3%
4 32
 
1.9%
5 29
 
1.7%
6 35
 
2.1%
7 27
 
1.6%
8 30
 
1.8%
9 17
 
1.0%
ValueCountFrequency (%)
60411 1
0.1%
13818 1
0.1%
9654 1
0.1%
9174 1
0.1%
7417 1
0.1%
6996 1
0.1%
6542 1
0.1%
4485 1
0.1%
3874 1
0.1%
3757 1
0.1%

2023-12
Real number (ℝ)

MISSING  SKEWED  ZEROS 

Distinct336
Distinct (%)20.1%
Missing24
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean164.25986
Minimum0
Maximum53732
Zeros220
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:35.062281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median22
Q375.75
95-th percentile455.05
Maximum53732
Range53732
Interquartile range (IQR)72.75

Descriptive statistics

Standard deviation1440.3346
Coefficient of variation (CV)8.768634
Kurtosis1150.4015
Mean164.25986
Median Absolute Deviation (MAD)21
Skewness31.67051
Sum274971
Variance2074563.7
MonotonicityNot monotonic
2024-04-06T17:03:35.309311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 220
 
13.0%
1 93
 
5.5%
2 85
 
5.0%
3 41
 
2.4%
4 41
 
2.4%
8 37
 
2.2%
6 35
 
2.1%
5 34
 
2.0%
7 23
 
1.4%
10 23
 
1.4%
Other values (326) 1042
61.4%
(Missing) 24
 
1.4%
ValueCountFrequency (%)
0 220
13.0%
1 93
5.5%
2 85
 
5.0%
3 41
 
2.4%
4 41
 
2.4%
5 34
 
2.0%
6 35
 
2.1%
7 23
 
1.4%
8 37
 
2.2%
9 18
 
1.1%
ValueCountFrequency (%)
53732 1
0.1%
11914 1
0.1%
10066 1
0.1%
8974 1
0.1%
7373 1
0.1%
6340 1
0.1%
6186 1
0.1%
4016 1
0.1%
3558 1
0.1%
3407 1
0.1%

2024-01
Real number (ℝ)

SKEWED  ZEROS 

Distinct340
Distinct (%)20.1%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean169.76832
Minimum0
Maximum57041
Zeros241
Zeros (%)14.2%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:35.979064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median21
Q378
95-th percentile463.85
Maximum57041
Range57041
Interquartile range (IQR)75

Descriptive statistics

Standard deviation1518.5625
Coefficient of variation (CV)8.9449108
Kurtosis1170.8302
Mean169.76832
Median Absolute Deviation (MAD)21
Skewness32.018817
Sum287248
Variance2306032.1
MonotonicityNot monotonic
2024-04-06T17:03:36.182386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 241
 
14.2%
1 96
 
5.7%
2 67
 
3.9%
3 44
 
2.6%
4 43
 
2.5%
7 35
 
2.1%
5 33
 
1.9%
6 31
 
1.8%
10 27
 
1.6%
16 27
 
1.6%
Other values (330) 1048
61.7%
ValueCountFrequency (%)
0 241
14.2%
1 96
 
5.7%
2 67
 
3.9%
3 44
 
2.6%
4 43
 
2.5%
5 33
 
1.9%
6 31
 
1.8%
7 35
 
2.1%
8 23
 
1.4%
9 20
 
1.2%
ValueCountFrequency (%)
57041 1
0.1%
13361 1
0.1%
11379 1
0.1%
8565 1
0.1%
6984 1
0.1%
6651 1
0.1%
6094 1
0.1%
4193 1
0.1%
3776 1
0.1%
3677 1
0.1%

2024-02
Real number (ℝ)

SKEWED  ZEROS 

Distinct340
Distinct (%)20.1%
Missing6
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean161.73404
Minimum0
Maximum55081
Zeros238
Zeros (%)14.0%
Negative0
Negative (%)0.0%
Memory size15.1 KiB
2024-04-06T17:03:36.388108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13
median20
Q370
95-th percentile440.9
Maximum55081
Range55081
Interquartile range (IQR)67

Descriptive statistics

Standard deviation1468.519
Coefficient of variation (CV)9.0798384
Kurtosis1165.441
Mean161.73404
Median Absolute Deviation (MAD)20
Skewness31.96749
Sum273654
Variance2156548
MonotonicityNot monotonic
2024-04-06T17:03:36.607103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 238
 
14.0%
1 100
 
5.9%
2 68
 
4.0%
3 48
 
2.8%
4 42
 
2.5%
5 41
 
2.4%
6 36
 
2.1%
7 30
 
1.8%
8 28
 
1.6%
16 23
 
1.4%
Other values (330) 1038
61.1%
ValueCountFrequency (%)
0 238
14.0%
1 100
5.9%
2 68
 
4.0%
3 48
 
2.8%
4 42
 
2.5%
5 41
 
2.4%
6 36
 
2.1%
7 30
 
1.8%
8 28
 
1.6%
9 23
 
1.4%
ValueCountFrequency (%)
55081 1
0.1%
14220 1
0.1%
10567 1
0.1%
7617 1
0.1%
7018 1
0.1%
6473 1
0.1%
5906 1
0.1%
3878 1
0.1%
3434 1
0.1%
3208 1
0.1%

Sample

지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
0전국 /전1310410341133531432313284114001304310948997112028120651313211701125951443713468136051562615966130421352513511153611916214745142132073421055183551796016950160361355515124172091979113483131451600115643158101377811847112729867953310033992070168459107251053010120930086268279745274729174897485657617
1전국 /답1676013428178771698215006119821372011710101841350414469172551518217640187891592114757165081629413451135931391717711223131873417747266392257718190172051545614860131271405717255207541503315095184271665815150132291144710810911596881083510331886211889142091270710789958581458498710177509654100661137910567
2전국 /대지7086959996748768041379262746548940285158821491039181136511437691235111388701327059495910420716567617119310908710480011436514353417273711637411222013426412678112898112132911749411661710765210202196138852786545765010793538604890182747466012255097501904878046150443133829755492700906421272825703926304266748628266159260411537325704155081
3전국 /임야15654116821436214485151501220213926128891071113007126761410211772124291304612958121491439515673113751191811537126701575711735109201420114676131501361813030128691121711596129461451510569965910285113161184311294101808899873580137974819964586930779976447479801976177159740967317417737369846473
4전국 /공장1231983138513111329124713601203110213051779147313441467159012961199147618731541166914391682211218241785293320791957206420631879193918221943200916401511174318871900169014001203951869934991920935101089010141036101911699829121175104510631062
5전국 /기타679951886155692066045628767263656068673472328108660275018297732770749077995981098542812190391139494298586113951154211152109791129910884948510121112221167884797736876690269431866582387430677692546758633844184857642756816399617364616155571858146542618660945906
6서울 /전3521251738325640385967577241272724374156333738535654353975324638183354842932184036263127518814161317161217182326132112222626
7서울 /답16111123452634172527254756212082115402127111646224347229227181410161617165957241222913131568512333461089141819118
8서울 /대지8186649087209581108291122815928165441475517613204642700320268203002015612239128582318130746182901399813606133422075215873164431548716202172851573315076149241327511771115461063780487498844810155117361032079566592565849004317443142625670787370198382857179328844824274366996634066517018
9서울 /임야5001641591972341741231701581981601281822391411081059834314212421277105979379801019392534062466626833159503915252066272647295811171024324185145343765
지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
1688제주 제주시/대지868548610735710579104469564478886710728517948976886478441045765730787980128510451108106810551079134510149719059851055107486281111458681167925754894978607672624592580855617633689575639779594699595583505
1689제주 제주시/임야20416621617319714525418714416615523912010116316119019117220616914515324924216319518618822120020316018019423912411012017618416512612813414512413585125127127110142117111819112314214690
1690제주 제주시/공장13211041000101110100100201421300092045620410221100101101122000
1691제주 제주시/기타956995175668912210262898518780971191501111481461301237017625014211810013317616419818590154125222681019594911088170107139927851576758878170797851844774114
1692제주 서귀포시/전180123116214152127186124166115131140941061081201191851481071321009514713313916320717616119014279130152159132961421581731521281431341251766911962100761059770111714774806088
1693제주 서귀포시/답31152812612434232958111126043951219118611101637611576313111340093312130320
1694제주 서귀포시/대지334263245232232173260176181350195233311262297197218397569308244290448476403382396376610545467426400369447528367355452477542451275288262233225222215281385794351371326289235231290284271223
1695제주 서귀포시/임야13814120020819512214720489112117105109901581951281361259494879715912313611415710515711510510068157125979011410615513211210249669877641087367441147147644972809148
1696제주 서귀포시/공장00000120000011210000010402000000022821010100000000012012001330
1697제주 서귀포시/기타66661261121108218899342153951258410489781031049390958510712613717213915412299112961271018312610353107141901031191171071161389257546950768441765452581635162