Overview

Dataset statistics

Number of variables44
Number of observations1116
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory430.6 KiB
Average record size in memory395.1 B

Variable types

Text1
Numeric43

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 매입자거주지별(필지수) 데이터입니다. -(단위 : 필지수) - 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15068073/fileData.do

Alerts

2019-04 is highly skewed (γ1 = 20.19740513)Skewed
지역 has unique valuesUnique
2019-01 has 31 (2.8%) zerosZeros
2019-02 has 33 (3.0%) zerosZeros
2019-03 has 32 (2.9%) zerosZeros
2019-04 has 32 (2.9%) zerosZeros
2019-05 has 32 (2.9%) zerosZeros
2019-06 has 32 (2.9%) zerosZeros
2019-07 has 30 (2.7%) zerosZeros
2019-08 has 30 (2.7%) zerosZeros
2019-09 has 31 (2.8%) zerosZeros
2019-10 has 31 (2.8%) zerosZeros
2019-11 has 34 (3.0%) zerosZeros
2019-12 has 29 (2.6%) zerosZeros
2020-01 has 32 (2.9%) zerosZeros
2020-02 has 29 (2.6%) zerosZeros
2020-03 has 29 (2.6%) zerosZeros
2020-04 has 30 (2.7%) zerosZeros
2020-05 has 30 (2.7%) zerosZeros
2020-06 has 31 (2.8%) zerosZeros
2020-07 has 30 (2.7%) zerosZeros
2020-08 has 30 (2.7%) zerosZeros
2020-09 has 28 (2.5%) zerosZeros
2020-10 has 33 (3.0%) zerosZeros
2020-11 has 30 (2.7%) zerosZeros
2020-12 has 29 (2.6%) zerosZeros
2021-01 has 32 (2.9%) zerosZeros
2021-02 has 32 (2.9%) zerosZeros
2021-03 has 30 (2.7%) zerosZeros
2021-04 has 28 (2.5%) zerosZeros
2021-05 has 31 (2.8%) zerosZeros
2021-06 has 30 (2.7%) zerosZeros
2021-07 has 30 (2.7%) zerosZeros
2021-08 has 28 (2.5%) zerosZeros
2021-09 has 33 (3.0%) zerosZeros
2021-10 has 30 (2.7%) zerosZeros
2021-11 has 32 (2.9%) zerosZeros
2021-12 has 28 (2.5%) zerosZeros
2022-01 has 31 (2.8%) zerosZeros
2022-02 has 30 (2.7%) zerosZeros
2022-03 has 28 (2.5%) zerosZeros
2022-04 has 30 (2.7%) zerosZeros
2022-05 has 30 (2.7%) zerosZeros
2022-06 has 34 (3.0%) zerosZeros
2022-07 has 33 (3.0%) zerosZeros

Reproduction

Analysis started2023-12-12 21:52:15.190875
Analysis finished2023-12-12 21:52:15.916422
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct1116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size8.8 KiB
2023-12-13T06:52:16.071161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length13.861111
Min length9

Characters and Unicode

Total characters15469
Distinct characters150
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1116 ?
Unique (%)100.0%

Sample

1st row전국 /관할시군구내
2nd row전국 /관할시도내
3rd row전국 /관할시도외_서울
4th row전국 /관할시도외_기타
5th row서울 /관할시군구내
ValueCountFrequency (%)
경기 196
 
8.8%
서울 104
 
4.7%
경북 104
 
4.7%
경남 96
 
4.3%
전남 92
 
4.1%
강원 76
 
3.4%
충남 72
 
3.2%
부산 68
 
3.0%
전북 68
 
3.0%
충북 64
 
2.9%
Other values (968) 1292
57.9%
2023-12-13T06:52:16.450556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 1560
 
10.1%
관 1120
 
7.2%
1116
 
7.2%
/ 1116
 
7.2%
할 1116
 
7.2%
도 857
 
5.5%
구 739
 
4.8%
군 619
 
4.0%
외 558
 
3.6%
내 558
 
3.6%
Other values (140) 6110
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12679
82.0%
Space Separator 1116
 
7.2%
Other Punctuation 1116
 
7.2%
Connector Punctuation 558
 
3.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
Space Separator
ValueCountFrequency (%)
1116
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 558
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12679
82.0%
Common 2790
 
18.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
Common
ValueCountFrequency (%)
1116
40.0%
/ 1116
40.0%
_ 558
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12679
82.0%
ASCII 2790
 
18.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 1560
 
12.3%
관 1120
 
8.8%
할 1116
 
8.8%
도 857
 
6.8%
구 739
 
5.8%
군 619
 
4.9%
외 558
 
4.4%
내 558
 
4.4%
기 483
 
3.8%
서 447
 
3.5%
Other values (137) 4622
36.5%
ASCII
ValueCountFrequency (%)
1116
40.0%
/ 1116
40.0%
_ 558
20.0%

2019-01
Real number (ℝ)

ZEROS 

Distinct407
Distinct (%)36.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean349.7052
Minimum0
Maximum57517
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:16.619289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q133.75
median95
Q3197.5
95-th percentile760
Maximum57517
Range57517
Interquartile range (IQR)163.75

Descriptive statistics

Standard deviation2211.5014
Coefficient of variation (CV)6.3239019
Kurtosis446.90749
Mean349.7052
Median Absolute Deviation (MAD)70
Skewness19.467262
Sum390271
Variance4890738.2
MonotonicityNot monotonic
2023-12-13T06:52:16.787276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
6 15
 
1.3%
25 14
 
1.3%
17 12
 
1.1%
7 12
 
1.1%
4 12
 
1.1%
9 11
 
1.0%
51 10
 
0.9%
26 10
 
0.9%
15 10
 
0.9%
Other values (397) 979
87.7%
ValueCountFrequency (%)
0 31
2.8%
1 6
 
0.5%
2 7
 
0.6%
3 7
 
0.6%
4 12
 
1.1%
5 9
 
0.8%
6 15
1.3%
7 12
 
1.1%
8 8
 
0.7%
9 11
 
1.0%
ValueCountFrequency (%)
57517 1
0.1%
29734 1
0.1%
26551 1
0.1%
11500 1
0.1%
10615 1
0.1%
9406 1
0.1%
5958 1
0.1%
5802 1
0.1%
5557 1
0.1%
5012 1
0.1%

2019-02
Real number (ℝ)

ZEROS 

Distinct375
Distinct (%)33.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean286.0224
Minimum0
Maximum47902
Zeros33
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:16.971233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q129
median79.5
Q3167.25
95-th percentile641.25
Maximum47902
Range47902
Interquartile range (IQR)138.25

Descriptive statistics

Standard deviation1816.5075
Coefficient of variation (CV)6.3509275
Kurtosis464.94332
Mean286.0224
Median Absolute Deviation (MAD)58.5
Skewness19.833949
Sum319201
Variance3299699.7
MonotonicityNot monotonic
2023-12-13T06:52:17.141941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
3.0%
5 14
 
1.3%
2 13
 
1.2%
34 13
 
1.2%
87 12
 
1.1%
8 12
 
1.1%
11 12
 
1.1%
4 11
 
1.0%
7 11
 
1.0%
68 11
 
1.0%
Other values (365) 974
87.3%
ValueCountFrequency (%)
0 33
3.0%
1 7
 
0.6%
2 13
 
1.2%
3 10
 
0.9%
4 11
 
1.0%
5 14
1.3%
6 10
 
0.9%
7 11
 
1.0%
8 12
 
1.1%
9 7
 
0.6%
ValueCountFrequency (%)
47902 1
0.1%
23181 1
0.1%
21900 1
0.1%
9774 1
0.1%
8635 1
0.1%
7048 1
0.1%
4932 1
0.1%
4526 1
0.1%
4285 1
0.1%
4187 1
0.1%

2019-03
Real number (ℝ)

ZEROS 

Distinct418
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean359.5233
Minimum0
Maximum60943
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:17.304416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q135
median101.5
Q3203
95-th percentile727.25
Maximum60943
Range60943
Interquartile range (IQR)168

Descriptive statistics

Standard deviation2305.0535
Coefficient of variation (CV)6.4114163
Kurtosis468.57434
Mean359.5233
Median Absolute Deviation (MAD)76.5
Skewness19.9058
Sum401228
Variance5313271.8
MonotonicityNot monotonic
2023-12-13T06:52:17.438533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
18 17
 
1.5%
15 15
 
1.3%
3 13
 
1.2%
14 12
 
1.1%
10 12
 
1.1%
17 12
 
1.1%
7 11
 
1.0%
2 11
 
1.0%
4 11
 
1.0%
Other values (408) 970
86.9%
ValueCountFrequency (%)
0 32
2.9%
1 6
 
0.5%
2 11
 
1.0%
3 13
1.2%
4 11
 
1.0%
5 7
 
0.6%
6 5
 
0.4%
7 11
 
1.0%
8 6
 
0.5%
9 4
 
0.4%
ValueCountFrequency (%)
60943 1
0.1%
29245 1
0.1%
27634 1
0.1%
12608 1
0.1%
10186 1
0.1%
9411 1
0.1%
6350 1
0.1%
5733 1
0.1%
5312 1
0.1%
5050 1
0.1%

2019-04
Real number (ℝ)

SKEWED  ZEROS 

Distinct419
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.37455
Minimum0
Maximum64903
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:17.595556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q138
median109
Q3214.25
95-th percentile851
Maximum64903
Range64903
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation2430.8433
Coefficient of variation (CV)6.4414606
Kurtosis482.757
Mean377.37455
Median Absolute Deviation (MAD)82
Skewness20.197405
Sum421150
Variance5908999.1
MonotonicityNot monotonic
2023-12-13T06:52:17.721761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
3 13
 
1.2%
61 13
 
1.2%
4 12
 
1.1%
5 10
 
0.9%
57 10
 
0.9%
7 10
 
0.9%
30 9
 
0.8%
21 9
 
0.8%
2 9
 
0.8%
Other values (409) 989
88.6%
ValueCountFrequency (%)
0 32
2.9%
1 6
 
0.5%
2 9
 
0.8%
3 13
1.2%
4 12
 
1.1%
5 10
 
0.9%
6 9
 
0.8%
7 10
 
0.9%
8 6
 
0.5%
9 5
 
0.4%
ValueCountFrequency (%)
64903 1
0.1%
29968 1
0.1%
28811 1
0.1%
13680 1
0.1%
10752 1
0.1%
9302 1
0.1%
6242 1
0.1%
5792 1
0.1%
5367 1
0.1%
5285 1
0.1%

2019-05
Real number (ℝ)

ZEROS 

Distinct425
Distinct (%)38.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean368.49373
Minimum0
Maximum60757
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:17.879474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q137
median105.5
Q3217.25
95-th percentile820.25
Maximum60757
Range60757
Interquartile range (IQR)180.25

Descriptive statistics

Standard deviation2330.2804
Coefficient of variation (CV)6.3237993
Kurtosis448.93116
Mean368.49373
Median Absolute Deviation (MAD)78.5
Skewness19.495787
Sum411239
Variance5430206.6
MonotonicityNot monotonic
2023-12-13T06:52:18.015181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
21 11
 
1.0%
13 11
 
1.0%
2 11
 
1.0%
3 11
 
1.0%
5 11
 
1.0%
10 11
 
1.0%
4 10
 
0.9%
18 9
 
0.8%
11 9
 
0.8%
Other values (415) 990
88.7%
ValueCountFrequency (%)
0 32
2.9%
1 4
 
0.4%
2 11
 
1.0%
3 11
 
1.0%
4 10
 
0.9%
5 11
 
1.0%
6 6
 
0.5%
7 7
 
0.6%
8 5
 
0.4%
9 8
 
0.7%
ValueCountFrequency (%)
60757 1
0.1%
29650 1
0.1%
29196 1
0.1%
13435 1
0.1%
11032 1
0.1%
9828 1
0.1%
6196 1
0.1%
5387 1
0.1%
5130 1
0.1%
4834 1
0.1%

2019-06
Real number (ℝ)

ZEROS 

Distinct393
Distinct (%)35.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean329.4991
Minimum0
Maximum54216
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:18.187535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q133
median95
Q3189.25
95-th percentile684.75
Maximum54216
Range54216
Interquartile range (IQR)156.25

Descriptive statistics

Standard deviation2088.434
Coefficient of variation (CV)6.3382084
Kurtosis443.38436
Mean329.4991
Median Absolute Deviation (MAD)74
Skewness19.385241
Sum367721
Variance4361556.5
MonotonicityNot monotonic
2023-12-13T06:52:18.337318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
5 17
 
1.5%
8 14
 
1.3%
6 13
 
1.2%
19 10
 
0.9%
14 10
 
0.9%
12 10
 
0.9%
9 10
 
0.9%
3 9
 
0.8%
2 9
 
0.8%
Other values (383) 982
88.0%
ValueCountFrequency (%)
0 32
2.9%
1 7
 
0.6%
2 9
 
0.8%
3 9
 
0.8%
4 9
 
0.8%
5 17
1.5%
6 13
1.2%
7 7
 
0.6%
8 14
1.3%
9 10
 
0.9%
ValueCountFrequency (%)
54216 1
0.1%
26728 1
0.1%
26415 1
0.1%
12442 1
0.1%
9754 1
0.1%
8692 1
0.1%
5512 1
0.1%
4626 1
0.1%
4562 1
0.1%
4364 1
0.1%

2019-07
Real number (ℝ)

ZEROS 

Distinct447
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean391.71505
Minimum0
Maximum62798
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:18.829567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q137.75
median110
Q3233.25
95-th percentile840.75
Maximum62798
Range62798
Interquartile range (IQR)195.5

Descriptive statistics

Standard deviation2457.8789
Coefficient of variation (CV)6.2746602
Kurtosis424.27136
Mean391.71505
Median Absolute Deviation (MAD)86.5
Skewness19.000322
Sum437154
Variance6041168.5
MonotonicityNot monotonic
2023-12-13T06:52:18.995805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
7 16
 
1.4%
14 14
 
1.3%
4 11
 
1.0%
10 11
 
1.0%
140 9
 
0.8%
13 9
 
0.8%
2 9
 
0.8%
3 9
 
0.8%
9 9
 
0.8%
Other values (437) 989
88.6%
ValueCountFrequency (%)
0 30
2.7%
1 3
 
0.3%
2 9
 
0.8%
3 9
 
0.8%
4 11
 
1.0%
5 7
 
0.6%
6 7
 
0.6%
7 16
1.4%
8 8
 
0.7%
9 9
 
0.8%
ValueCountFrequency (%)
62798 1
0.1%
32472 1
0.1%
31993 1
0.1%
14284 1
0.1%
11860 1
0.1%
10195 1
0.1%
6680 1
0.1%
6198 1
0.1%
5987 1
0.1%
5033 1
0.1%

2019-08
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)37.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean361.85125
Minimum0
Maximum58611
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:19.138912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.75
Q135
median102
Q3213
95-th percentile827.25
Maximum58611
Range58611
Interquartile range (IQR)178

Descriptive statistics

Standard deviation2280.84
Coefficient of variation (CV)6.303253
Kurtosis430.38073
Mean361.85125
Median Absolute Deviation (MAD)77.5
Skewness19.108307
Sum403826
Variance5202231.1
MonotonicityNot monotonic
2023-12-13T06:52:19.301764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
5 20
 
1.8%
11 14
 
1.3%
7 12
 
1.1%
40 12
 
1.1%
12 12
 
1.1%
10 10
 
0.9%
14 10
 
0.9%
2 10
 
0.9%
27 10
 
0.9%
Other values (404) 976
87.5%
ValueCountFrequency (%)
0 30
2.7%
1 7
 
0.6%
2 10
 
0.9%
3 9
 
0.8%
4 6
 
0.5%
5 20
1.8%
6 8
 
0.7%
7 12
 
1.1%
8 3
 
0.3%
9 6
 
0.5%
ValueCountFrequency (%)
58611 1
0.1%
29776 1
0.1%
29222 1
0.1%
13340 1
0.1%
10664 1
0.1%
9759 1
0.1%
7151 1
0.1%
6015 1
0.1%
5641 1
0.1%
4588 1
0.1%

2019-09
Real number (ℝ)

ZEROS 

Distinct405
Distinct (%)36.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean339.30735
Minimum0
Maximum55991
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:19.448330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q130.75
median94
Q3204.25
95-th percentile773.25
Maximum55991
Range55991
Interquartile range (IQR)173.5

Descriptive statistics

Standard deviation2155.4452
Coefficient of variation (CV)6.3524861
Kurtosis444.32637
Mean339.30735
Median Absolute Deviation (MAD)74
Skewness19.406459
Sum378667
Variance4645944.1
MonotonicityNot monotonic
2023-12-13T06:52:19.583520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
2 16
 
1.4%
10 14
 
1.3%
7 13
 
1.2%
28 12
 
1.1%
11 12
 
1.1%
6 11
 
1.0%
3 11
 
1.0%
15 10
 
0.9%
13 10
 
0.9%
Other values (395) 976
87.5%
ValueCountFrequency (%)
0 31
2.8%
1 8
 
0.7%
2 16
1.4%
3 11
 
1.0%
4 9
 
0.8%
5 9
 
0.8%
6 11
 
1.0%
7 13
1.2%
8 9
 
0.8%
9 9
 
0.8%
ValueCountFrequency (%)
55991 1
0.1%
27562 1
0.1%
27267 1
0.1%
12977 1
0.1%
9365 1
0.1%
8809 1
0.1%
6232 1
0.1%
5355 1
0.1%
5312 1
0.1%
4466 1
0.1%

2019-10
Real number (ℝ)

ZEROS 

Distinct458
Distinct (%)41.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean424.86022
Minimum0
Maximum69373
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:19.727424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q140
median119
Q3260
95-th percentile924
Maximum69373
Range69373
Interquartile range (IQR)220

Descriptive statistics

Standard deviation2690.1792
Coefficient of variation (CV)6.3319161
Kurtosis435.04892
Mean424.86022
Median Absolute Deviation (MAD)93
Skewness19.219246
Sum474144
Variance7237064.3
MonotonicityNot monotonic
2023-12-13T06:52:19.883731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
12 16
 
1.4%
7 13
 
1.2%
21 12
 
1.1%
4 10
 
0.9%
3 10
 
0.9%
109 9
 
0.8%
10 9
 
0.8%
13 9
 
0.8%
26 8
 
0.7%
Other values (448) 989
88.6%
ValueCountFrequency (%)
0 31
2.8%
1 5
 
0.4%
2 4
 
0.4%
3 10
 
0.9%
4 10
 
0.9%
5 6
 
0.5%
6 6
 
0.5%
7 13
1.2%
8 8
 
0.7%
9 6
 
0.5%
ValueCountFrequency (%)
69373 1
0.1%
34816 1
0.1%
34422 1
0.1%
16806 1
0.1%
11885 1
0.1%
10983 1
0.1%
7198 1
0.1%
7163 1
0.1%
6589 1
0.1%
5711 1
0.1%

2019-11
Real number (ℝ)

ZEROS 

Distinct475
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean458.82885
Minimum0
Maximum74738
Zeros34
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:20.050350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q139.75
median126
Q3279
95-th percentile962.25
Maximum74738
Range74738
Interquartile range (IQR)239.25

Descriptive statistics

Standard deviation2897.7735
Coefficient of variation (CV)6.3155868
Kurtosis434.85316
Mean458.82885
Median Absolute Deviation (MAD)101
Skewness19.203346
Sum512053
Variance8397091.1
MonotonicityNot monotonic
2023-12-13T06:52:20.237098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
3.0%
4 13
 
1.2%
9 12
 
1.1%
6 12
 
1.1%
16 11
 
1.0%
19 11
 
1.0%
25 10
 
0.9%
18 10
 
0.9%
11 9
 
0.8%
72 9
 
0.8%
Other values (465) 985
88.3%
ValueCountFrequency (%)
0 34
3.0%
1 4
 
0.4%
2 4
 
0.4%
3 4
 
0.4%
4 13
 
1.2%
5 5
 
0.4%
6 12
 
1.1%
7 6
 
0.5%
8 8
 
0.7%
9 12
 
1.1%
ValueCountFrequency (%)
74738 1
0.1%
37680 1
0.1%
36734 1
0.1%
17857 1
0.1%
12720 1
0.1%
12353 1
0.1%
8239 1
0.1%
7599 1
0.1%
7260 1
0.1%
6212 1
0.1%

2019-12
Real number (ℝ)

ZEROS 

Distinct519
Distinct (%)46.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean561.7724
Minimum0
Maximum89423
Zeros29
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:20.372341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q147
median156.5
Q3337
95-th percentile1293.5
Maximum89423
Range89423
Interquartile range (IQR)290

Descriptive statistics

Standard deviation3524.3732
Coefficient of variation (CV)6.2736675
Kurtosis415.76306
Mean561.7724
Median Absolute Deviation (MAD)126
Skewness18.81352
Sum626938
Variance12421207
MonotonicityNot monotonic
2023-12-13T06:52:20.499491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
2.6%
7 13
 
1.2%
9 9
 
0.8%
14 9
 
0.8%
17 9
 
0.8%
12 8
 
0.7%
20 8
 
0.7%
8 8
 
0.7%
34 8
 
0.7%
102 8
 
0.7%
Other values (509) 1007
90.2%
ValueCountFrequency (%)
0 29
2.6%
1 3
 
0.3%
2 6
 
0.5%
3 5
 
0.4%
4 6
 
0.5%
5 4
 
0.4%
6 7
 
0.6%
7 13
1.2%
8 8
 
0.7%
9 9
 
0.8%
ValueCountFrequency (%)
89423 1
0.1%
47313 1
0.1%
45826 1
0.1%
21662 1
0.1%
15673 1
0.1%
15277 1
0.1%
9749 1
0.1%
9383 1
0.1%
8893 1
0.1%
8443 1
0.1%

2020-01
Real number (ℝ)

ZEROS 

Distinct474
Distinct (%)42.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean484.40233
Minimum0
Maximum80338
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:20.621088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q139
median128.5
Q3291
95-th percentile1145
Maximum80338
Range80338
Interquartile range (IQR)252

Descriptive statistics

Standard deviation3086.8076
Coefficient of variation (CV)6.3724046
Kurtosis445.91913
Mean484.40233
Median Absolute Deviation (MAD)105.5
Skewness19.42561
Sum540593
Variance9528381.4
MonotonicityNot monotonic
2023-12-13T06:52:20.760265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
10 16
 
1.4%
23 14
 
1.3%
16 12
 
1.1%
7 11
 
1.0%
3 10
 
0.9%
22 10
 
0.9%
9 10
 
0.9%
12 9
 
0.8%
6 9
 
0.8%
Other values (464) 983
88.1%
ValueCountFrequency (%)
0 32
2.9%
1 4
 
0.4%
2 6
 
0.5%
3 10
 
0.9%
4 4
 
0.4%
5 6
 
0.5%
6 9
 
0.8%
7 11
 
1.0%
8 6
 
0.5%
9 10
 
0.9%
ValueCountFrequency (%)
80338 1
0.1%
40509 1
0.1%
36821 1
0.1%
20448 1
0.1%
14491 1
0.1%
12444 1
0.1%
7805 1
0.1%
7470 1
0.1%
7076 1
0.1%
6773 1
0.1%

2020-02
Real number (ℝ)

ZEROS 

Distinct506
Distinct (%)45.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544.24194
Minimum0
Maximum88939
Zeros29
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:20.880672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q145.75
median142
Q3318.25
95-th percentile1147.25
Maximum88939
Range88939
Interquartile range (IQR)272.5

Descriptive statistics

Standard deviation3453.5662
Coefficient of variation (CV)6.3456452
Kurtosis430.48849
Mean544.24194
Median Absolute Deviation (MAD)116.5
Skewness19.063862
Sum607374
Variance11927120
MonotonicityNot monotonic
2023-12-13T06:52:20.994238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
2.6%
7 12
 
1.1%
3 11
 
1.0%
8 11
 
1.0%
5 10
 
0.9%
16 10
 
0.9%
24 10
 
0.9%
11 10
 
0.9%
67 9
 
0.8%
6 9
 
0.8%
Other values (496) 995
89.2%
ValueCountFrequency (%)
0 29
2.6%
1 4
 
0.4%
2 4
 
0.4%
3 11
 
1.0%
4 5
 
0.4%
5 10
 
0.9%
6 9
 
0.8%
7 12
1.1%
8 11
 
1.0%
9 7
 
0.6%
ValueCountFrequency (%)
88939 1
0.1%
46221 1
0.1%
40314 1
0.1%
24247 1
0.1%
18479 1
0.1%
15028 1
0.1%
9526 1
0.1%
7686 1
0.1%
7489 1
0.1%
7484 1
0.1%

2020-03
Real number (ℝ)

ZEROS 

Distinct499
Distinct (%)44.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.75986
Minimum0
Maximum87071
Zeros29
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:21.107350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q146
median143
Q3304.25
95-th percentile1206.75
Maximum87071
Range87071
Interquartile range (IQR)258.25

Descriptive statistics

Standard deviation3401.8985
Coefficient of variation (CV)6.3734625
Kurtosis422.70337
Mean533.75986
Median Absolute Deviation (MAD)114.5
Skewness18.903465
Sum595676
Variance11572913
MonotonicityNot monotonic
2023-12-13T06:52:21.221949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
2.6%
9 13
 
1.2%
15 13
 
1.2%
16 13
 
1.2%
14 10
 
0.9%
4 10
 
0.9%
5 10
 
0.9%
2 9
 
0.8%
11 8
 
0.7%
27 8
 
0.7%
Other values (489) 993
89.0%
ValueCountFrequency (%)
0 29
2.6%
1 5
 
0.4%
2 9
 
0.8%
3 6
 
0.5%
4 10
 
0.9%
5 10
 
0.9%
6 7
 
0.6%
7 2
 
0.2%
8 4
 
0.4%
9 13
1.2%
ValueCountFrequency (%)
87071 1
0.1%
44780 1
0.1%
41692 1
0.1%
23832 1
0.1%
17702 1
0.1%
15321 1
0.1%
9443 1
0.1%
8250 1
0.1%
7389 1
0.1%
7309 1
0.1%

2020-04
Real number (ℝ)

ZEROS 

Distinct442
Distinct (%)39.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean410.33333
Minimum0
Maximum67927
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:21.339156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q138.75
median115
Q3235
95-th percentile918.5
Maximum67927
Range67927
Interquartile range (IQR)196.25

Descriptive statistics

Standard deviation2619.4574
Coefficient of variation (CV)6.3837305
Kurtosis442.1453
Mean410.33333
Median Absolute Deviation (MAD)88
Skewness19.363387
Sum457932
Variance6861557.1
MonotonicityNot monotonic
2023-12-13T06:52:21.485276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
7 14
 
1.3%
19 12
 
1.1%
8 12
 
1.1%
20 11
 
1.0%
10 10
 
0.9%
33 10
 
0.9%
9 10
 
0.9%
5 10
 
0.9%
3 9
 
0.8%
Other values (432) 988
88.5%
ValueCountFrequency (%)
0 30
2.7%
1 4
 
0.4%
2 8
 
0.7%
3 9
 
0.8%
4 9
 
0.8%
5 10
 
0.9%
6 8
 
0.7%
7 14
1.3%
8 12
 
1.1%
9 10
 
0.9%
ValueCountFrequency (%)
67927 1
0.1%
34489 1
0.1%
32173 1
0.1%
15662 1
0.1%
12550 1
0.1%
11340 1
0.1%
7114 1
0.1%
6401 1
0.1%
5013 1
0.1%
4849 1
0.1%

2020-05
Real number (ℝ)

ZEROS 

Distinct465
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean432.70609
Minimum0
Maximum69735
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:21.622818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q141
median116.5
Q3255.5
95-th percentile990
Maximum69735
Range69735
Interquartile range (IQR)214.5

Descriptive statistics

Standard deviation2722.7582
Coefficient of variation (CV)6.2923964
Kurtosis426.63451
Mean432.70609
Median Absolute Deviation (MAD)89.5
Skewness19.047282
Sum482900
Variance7413412.5
MonotonicityNot monotonic
2023-12-13T06:52:21.749884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
7 11
 
1.0%
9 11
 
1.0%
27 11
 
1.0%
4 10
 
0.9%
15 9
 
0.8%
60 9
 
0.8%
53 9
 
0.8%
18 9
 
0.8%
36 9
 
0.8%
Other values (455) 998
89.4%
ValueCountFrequency (%)
0 30
2.7%
1 5
 
0.4%
2 7
 
0.6%
3 6
 
0.5%
4 10
 
0.9%
5 6
 
0.5%
6 7
 
0.6%
7 11
 
1.0%
8 7
 
0.6%
9 11
 
1.0%
ValueCountFrequency (%)
69735 1
0.1%
35806 1
0.1%
34998 1
0.1%
17198 1
0.1%
12452 1
0.1%
12343 1
0.1%
7170 1
0.1%
6139 1
0.1%
5235 1
0.1%
5042 1
0.1%

2020-06
Real number (ℝ)

ZEROS 

Distinct548
Distinct (%)49.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean634.59498
Minimum0
Maximum99414
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:21.887837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q154.75
median168
Q3378.75
95-th percentile1399.75
Maximum99414
Range99414
Interquartile range (IQR)324

Descriptive statistics

Standard deviation3953.0089
Coefficient of variation (CV)6.229184
Kurtosis402.83628
Mean634.59498
Median Absolute Deviation (MAD)134
Skewness18.494372
Sum708208
Variance15626279
MonotonicityNot monotonic
2023-12-13T06:52:22.017956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
8 12
 
1.1%
18 12
 
1.1%
15 10
 
0.9%
23 9
 
0.8%
12 8
 
0.7%
7 8
 
0.7%
3 7
 
0.6%
67 7
 
0.6%
38 7
 
0.6%
Other values (538) 1005
90.1%
ValueCountFrequency (%)
0 31
2.8%
1 1
 
0.1%
2 4
 
0.4%
3 7
 
0.6%
4 4
 
0.4%
5 6
 
0.5%
6 5
 
0.4%
7 8
 
0.7%
8 12
 
1.1%
9 6
 
0.5%
ValueCountFrequency (%)
99414 1
0.1%
53831 1
0.1%
49866 1
0.1%
27174 1
0.1%
20275 1
0.1%
19647 1
0.1%
12046 1
0.1%
9382 1
0.1%
8530 1
0.1%
8205 1
0.1%

2020-07
Real number (ℝ)

ZEROS 

Distinct552
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean654.98477
Minimum0
Maximum101976
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:22.139622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q157.5
median170
Q3409.75
95-th percentile1344.5
Maximum101976
Range101976
Interquartile range (IQR)352.25

Descriptive statistics

Standard deviation4084.4422
Coefficient of variation (CV)6.2359346
Kurtosis395.05164
Mean654.98477
Median Absolute Deviation (MAD)139.5
Skewness18.309656
Sum730963
Variance16682668
MonotonicityNot monotonic
2023-12-13T06:52:22.260101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
7 10
 
0.9%
19 9
 
0.8%
9 9
 
0.8%
16 8
 
0.7%
17 7
 
0.6%
12 7
 
0.6%
8 7
 
0.6%
20 7
 
0.6%
52 7
 
0.6%
Other values (542) 1015
90.9%
ValueCountFrequency (%)
0 30
2.7%
1 4
 
0.4%
2 3
 
0.3%
3 1
 
0.1%
4 2
 
0.2%
5 5
 
0.4%
6 5
 
0.4%
7 10
 
0.9%
8 7
 
0.6%
9 9
 
0.8%
ValueCountFrequency (%)
101976 1
0.1%
57317 1
0.1%
50780 1
0.1%
27088 1
0.1%
20885 1
0.1%
19498 1
0.1%
13232 1
0.1%
11803 1
0.1%
11380 1
0.1%
8470 1
0.1%

2020-08
Real number (ℝ)

ZEROS 

Distinct471
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441.90054
Minimum0
Maximum72347
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:22.634568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q143
median118.5
Q3258
95-th percentile1029.75
Maximum72347
Range72347
Interquartile range (IQR)215

Descriptive statistics

Standard deviation2800.2206
Coefficient of variation (CV)6.3367668
Kurtosis435.54405
Mean441.90054
Median Absolute Deviation (MAD)93
Skewness19.188977
Sum493161
Variance7841235.6
MonotonicityNot monotonic
2023-12-13T06:52:22.771021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
57 13
 
1.2%
6 11
 
1.0%
16 11
 
1.0%
5 10
 
0.9%
10 9
 
0.8%
11 9
 
0.8%
13 9
 
0.8%
9 9
 
0.8%
19 9
 
0.8%
Other values (461) 996
89.2%
ValueCountFrequency (%)
0 30
2.7%
1 4
 
0.4%
2 8
 
0.7%
3 8
 
0.7%
4 7
 
0.6%
5 10
 
0.9%
6 11
 
1.0%
7 8
 
0.7%
8 8
 
0.7%
9 9
 
0.8%
ValueCountFrequency (%)
72347 1
0.1%
36973 1
0.1%
33693 1
0.1%
18603 1
0.1%
13592 1
0.1%
12216 1
0.1%
7925 1
0.1%
7291 1
0.1%
7060 1
0.1%
5245 1
0.1%

2020-09
Real number (ℝ)

ZEROS 

Distinct448
Distinct (%)40.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean434.74552
Minimum0
Maximum72272
Zeros28
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:22.908441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q140
median118.5
Q3247.25
95-th percentile1027.25
Maximum72272
Range72272
Interquartile range (IQR)207.25

Descriptive statistics

Standard deviation2770.4384
Coefficient of variation (CV)6.372552
Kurtosis448.07414
Mean434.74552
Median Absolute Deviation (MAD)90.5
Skewness19.450667
Sum485176
Variance7675329.1
MonotonicityNot monotonic
2023-12-13T06:52:23.036898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
2.5%
16 11
 
1.0%
10 11
 
1.0%
4 10
 
0.9%
5 10
 
0.9%
17 10
 
0.9%
8 9
 
0.8%
56 9
 
0.8%
15 9
 
0.8%
7 9
 
0.8%
Other values (438) 1000
89.6%
ValueCountFrequency (%)
0 28
2.5%
1 8
 
0.7%
2 8
 
0.7%
3 8
 
0.7%
4 10
 
0.9%
5 10
 
0.9%
6 6
 
0.5%
7 9
 
0.8%
8 9
 
0.8%
9 7
 
0.6%
ValueCountFrequency (%)
72272 1
0.1%
35807 1
0.1%
32925 1
0.1%
18480 1
0.1%
13043 1
0.1%
12295 1
0.1%
7892 1
0.1%
5626 1
0.1%
5501 1
0.1%
5449 1
0.1%

2020-10
Real number (ℝ)

ZEROS 

Distinct475
Distinct (%)42.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean459.63172
Minimum0
Maximum76569
Zeros33
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:23.174902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q141
median119
Q3253.75
95-th percentile1013.25
Maximum76569
Range76569
Interquartile range (IQR)212.75

Descriptive statistics

Standard deviation2932.1694
Coefficient of variation (CV)6.3793887
Kurtosis450.38461
Mean459.63172
Median Absolute Deviation (MAD)93
Skewness19.52136
Sum512949
Variance8597617.3
MonotonicityNot monotonic
2023-12-13T06:52:23.314185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
3.0%
19 12
 
1.1%
8 10
 
0.9%
3 10
 
0.9%
7 10
 
0.9%
105 8
 
0.7%
114 8
 
0.7%
70 8
 
0.7%
12 8
 
0.7%
10 8
 
0.7%
Other values (465) 1001
89.7%
ValueCountFrequency (%)
0 33
3.0%
1 5
 
0.4%
2 3
 
0.3%
3 10
 
0.9%
4 8
 
0.7%
5 7
 
0.6%
6 5
 
0.4%
7 10
 
0.9%
8 10
 
0.9%
9 8
 
0.7%
ValueCountFrequency (%)
76569 1
0.1%
38212 1
0.1%
34812 1
0.1%
19474 1
0.1%
13297 1
0.1%
12729 1
0.1%
8002 1
0.1%
5566 1
0.1%
5532 1
0.1%
5439 1
0.1%

2020-11
Real number (ℝ)

ZEROS 

Distinct510
Distinct (%)45.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean565.70161
Minimum0
Maximum94008
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:23.450745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q149
median145
Q3315.25
95-th percentile1377
Maximum94008
Range94008
Interquartile range (IQR)266.25

Descriptive statistics

Standard deviation3591.5686
Coefficient of variation (CV)6.3488745
Kurtosis456.13284
Mean565.70161
Median Absolute Deviation (MAD)111
Skewness19.67909
Sum631323
Variance12899365
MonotonicityNot monotonic
2023-12-13T06:52:23.565723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
6 10
 
0.9%
15 9
 
0.8%
17 9
 
0.8%
11 9
 
0.8%
28 8
 
0.7%
118 8
 
0.7%
24 8
 
0.7%
57 8
 
0.7%
9 8
 
0.7%
Other values (500) 1009
90.4%
ValueCountFrequency (%)
0 30
2.7%
1 4
 
0.4%
2 4
 
0.4%
3 2
 
0.2%
4 7
 
0.6%
5 7
 
0.6%
6 10
 
0.9%
7 6
 
0.5%
8 6
 
0.5%
9 8
 
0.7%
ValueCountFrequency (%)
94008 1
0.1%
47950 1
0.1%
42830 1
0.1%
20375 1
0.1%
15209 1
0.1%
13593 1
0.1%
9867 1
0.1%
8829 1
0.1%
8457 1
0.1%
8172 1
0.1%

2020-12
Real number (ℝ)

ZEROS 

Distinct582
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean692.35663
Minimum0
Maximum108829
Zeros29
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:23.691369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q168.75
median193
Q3402.25
95-th percentile1558.5
Maximum108829
Range108829
Interquartile range (IQR)333.5

Descriptive statistics

Standard deviation4291.2165
Coefficient of variation (CV)6.1979857
Kurtosis414.56048
Mean692.35663
Median Absolute Deviation (MAD)149
Skewness18.778936
Sum772670
Variance18414539
MonotonicityNot monotonic
2023-12-13T06:52:23.819743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 29
 
2.6%
70 8
 
0.7%
12 8
 
0.7%
8 8
 
0.7%
15 8
 
0.7%
3 8
 
0.7%
11 7
 
0.6%
66 7
 
0.6%
21 7
 
0.6%
17 7
 
0.6%
Other values (572) 1019
91.3%
ValueCountFrequency (%)
0 29
2.6%
1 1
 
0.1%
2 3
 
0.3%
3 8
 
0.7%
4 6
 
0.5%
5 5
 
0.4%
6 5
 
0.4%
7 4
 
0.4%
8 8
 
0.7%
9 2
 
0.2%
ValueCountFrequency (%)
108829 1
0.1%
58096 1
0.1%
54897 1
0.1%
26451 1
0.1%
21653 1
0.1%
19177 1
0.1%
12918 1
0.1%
9314 1
0.1%
9026 1
0.1%
8387 1
0.1%

2021-01
Real number (ℝ)

ZEROS 

Distinct480
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.84946
Minimum0
Maximum77428
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:23.962558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q146
median141
Q3286
95-th percentile1086.25
Maximum77428
Range77428
Interquartile range (IQR)240

Descriptive statistics

Standard deviation3050.4233
Coefficient of variation (CV)6.2400054
Kurtosis413.13114
Mean488.84946
Median Absolute Deviation (MAD)108
Skewness18.695585
Sum545556
Variance9305082.3
MonotonicityNot monotonic
2023-12-13T06:52:24.104936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
5 13
 
1.2%
9 12
 
1.1%
7 12
 
1.1%
41 11
 
1.0%
6 11
 
1.0%
8 11
 
1.0%
108 10
 
0.9%
15 9
 
0.8%
20 9
 
0.8%
Other values (470) 986
88.4%
ValueCountFrequency (%)
0 32
2.9%
1 4
 
0.4%
2 3
 
0.3%
3 6
 
0.5%
4 7
 
0.6%
5 13
1.2%
6 11
 
1.0%
7 12
 
1.1%
8 11
 
1.0%
9 12
 
1.1%
ValueCountFrequency (%)
77428 1
0.1%
40172 1
0.1%
39023 1
0.1%
18883 1
0.1%
16218 1
0.1%
14685 1
0.1%
9535 1
0.1%
7057 1
0.1%
6556 1
0.1%
6494 1
0.1%

2021-02
Real number (ℝ)

ZEROS 

Distinct479
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean467.6819
Minimum0
Maximum73473
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:24.254044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q142.75
median129.5
Q3272
95-th percentile978.75
Maximum73473
Range73473
Interquartile range (IQR)229.25

Descriptive statistics

Standard deviation2925.0373
Coefficient of variation (CV)6.2543308
Kurtosis401.12769
Mean467.6819
Median Absolute Deviation (MAD)101.5
Skewness18.443658
Sum521933
Variance8555843.2
MonotonicityNot monotonic
2023-12-13T06:52:24.391825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
7 14
 
1.3%
4 11
 
1.0%
12 10
 
0.9%
19 10
 
0.9%
3 9
 
0.8%
34 9
 
0.8%
78 9
 
0.8%
23 9
 
0.8%
91 8
 
0.7%
Other values (469) 995
89.2%
ValueCountFrequency (%)
0 32
2.9%
1 5
 
0.4%
2 7
 
0.6%
3 9
 
0.8%
4 11
 
1.0%
5 8
 
0.7%
6 1
 
0.1%
7 14
1.3%
8 7
 
0.6%
9 6
 
0.5%
ValueCountFrequency (%)
73473 1
0.1%
39619 1
0.1%
37209 1
0.1%
19270 1
0.1%
15171 1
0.1%
15170 1
0.1%
8929 1
0.1%
6287 1
0.1%
6266 1
0.1%
5712 1
0.1%

2021-03
Real number (ℝ)

ZEROS 

Distinct528
Distinct (%)47.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean592.45699
Minimum0
Maximum96249
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:24.541824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q161
median167
Q3332.25
95-th percentile1367.5
Maximum96249
Range96249
Interquartile range (IQR)271.25

Descriptive statistics

Standard deviation3740.0579
Coefficient of variation (CV)6.3127923
Kurtosis430.95154
Mean592.45699
Median Absolute Deviation (MAD)124
Skewness19.096843
Sum661182
Variance13988033
MonotonicityNot monotonic
2023-12-13T06:52:24.668778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
17 9
 
0.8%
19 9
 
0.8%
12 9
 
0.8%
148 9
 
0.8%
29 8
 
0.7%
25 8
 
0.7%
108 8
 
0.7%
101 8
 
0.7%
10 8
 
0.7%
Other values (518) 1010
90.5%
ValueCountFrequency (%)
0 30
2.7%
1 2
 
0.2%
2 2
 
0.2%
3 4
 
0.4%
4 7
 
0.6%
5 5
 
0.4%
6 6
 
0.5%
7 5
 
0.4%
8 4
 
0.4%
9 7
 
0.6%
ValueCountFrequency (%)
96249 1
0.1%
48367 1
0.1%
47335 1
0.1%
23137 1
0.1%
18215 1
0.1%
17139 1
0.1%
10171 1
0.1%
8704 1
0.1%
8017 1
0.1%
7662 1
0.1%

2021-04
Real number (ℝ)

ZEROS 

Distinct520
Distinct (%)46.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean559.25806
Minimum0
Maximum90134
Zeros28
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:24.839675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q159.75
median156
Q3319
95-th percentile1235
Maximum90134
Range90134
Interquartile range (IQR)259.25

Descriptive statistics

Standard deviation3523.626
Coefficient of variation (CV)6.3005368
Kurtosis424.39709
Mean559.25806
Median Absolute Deviation (MAD)115
Skewness18.977667
Sum624132
Variance12415940
MonotonicityNot monotonic
2023-12-13T06:52:24.973336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
2.5%
9 10
 
0.9%
16 9
 
0.8%
15 9
 
0.8%
8 9
 
0.8%
3 8
 
0.7%
41 8
 
0.7%
31 7
 
0.6%
12 7
 
0.6%
11 7
 
0.6%
Other values (510) 1014
90.9%
ValueCountFrequency (%)
0 28
2.5%
1 1
 
0.1%
2 4
 
0.4%
3 8
 
0.7%
4 6
 
0.5%
5 4
 
0.4%
6 5
 
0.4%
7 7
 
0.6%
8 9
 
0.8%
9 10
 
0.9%
ValueCountFrequency (%)
90134 1
0.1%
46023 1
0.1%
45491 1
0.1%
21237 1
0.1%
17062 1
0.1%
16492 1
0.1%
9333 1
0.1%
7589 1
0.1%
7501 1
0.1%
7476 1
0.1%

2021-05
Real number (ℝ)

ZEROS 

Distinct507
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540.44176
Minimum0
Maximum83758
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:25.120794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q158
median154
Q3308
95-th percentile1190.5
Maximum83758
Range83758
Interquartile range (IQR)250

Descriptive statistics

Standard deviation3350.1978
Coefficient of variation (CV)6.1989987
Kurtosis398.55074
Mean540.44176
Median Absolute Deviation (MAD)116
Skewness18.436857
Sum603133
Variance11223825
MonotonicityNot monotonic
2023-12-13T06:52:25.272182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
8 10
 
0.9%
9 9
 
0.8%
86 9
 
0.8%
154 8
 
0.7%
13 8
 
0.7%
27 8
 
0.7%
22 8
 
0.7%
49 7
 
0.6%
38 7
 
0.6%
Other values (497) 1011
90.6%
ValueCountFrequency (%)
0 31
2.8%
1 3
 
0.3%
2 3
 
0.3%
3 5
 
0.4%
4 7
 
0.6%
5 4
 
0.4%
6 7
 
0.6%
7 6
 
0.5%
8 10
 
0.9%
9 9
 
0.8%
ValueCountFrequency (%)
83758 1
0.1%
45112 1
0.1%
44929 1
0.1%
20053 1
0.1%
17986 1
0.1%
16136 1
0.1%
9391 1
0.1%
6941 1
0.1%
6754 1
0.1%
6570 1
0.1%

2021-06
Real number (ℝ)

ZEROS 

Distinct498
Distinct (%)44.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.51165
Minimum0
Maximum79816
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:25.412350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6.75
Q155
median142
Q3287
95-th percentile1189.25
Maximum79816
Range79816
Interquartile range (IQR)232

Descriptive statistics

Standard deviation3207.7624
Coefficient of variation (CV)6.2104357
Kurtosis393.64538
Mean516.51165
Median Absolute Deviation (MAD)106
Skewness18.336156
Sum576427
Variance10289739
MonotonicityNot monotonic
2023-12-13T06:52:25.561252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
8 10
 
0.9%
17 9
 
0.8%
10 9
 
0.8%
23 8
 
0.7%
26 8
 
0.7%
7 7
 
0.6%
12 7
 
0.6%
13 7
 
0.6%
44 7
 
0.6%
Other values (488) 1014
90.9%
ValueCountFrequency (%)
0 30
2.7%
1 7
 
0.6%
2 5
 
0.4%
3 4
 
0.4%
4 5
 
0.4%
5 2
 
0.2%
6 3
 
0.3%
7 7
 
0.6%
8 10
 
0.9%
9 5
 
0.4%
ValueCountFrequency (%)
79816 1
0.1%
43435 1
0.1%
43336 1
0.1%
19961 1
0.1%
16568 1
0.1%
15673 1
0.1%
9376 1
0.1%
6400 1
0.1%
5961 1
0.1%
5942 1
0.1%

2021-07
Real number (ℝ)

ZEROS 

Distinct491
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean497.2052
Minimum0
Maximum74470
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:25.707251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4.75
Q151
median134.5
Q3287.25
95-th percentile1161.75
Maximum74470
Range74470
Interquartile range (IQR)236.25

Descriptive statistics

Standard deviation3058.9384
Coefficient of variation (CV)6.1522655
Kurtosis372.07798
Mean497.2052
Median Absolute Deviation (MAD)101.5
Skewness17.872216
Sum554881
Variance9357104
MonotonicityNot monotonic
2023-12-13T06:52:25.873448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
4 10
 
0.9%
12 9
 
0.8%
17 9
 
0.8%
68 9
 
0.8%
13 8
 
0.7%
7 8
 
0.7%
60 8
 
0.7%
14 7
 
0.6%
97 7
 
0.6%
Other values (481) 1011
90.6%
ValueCountFrequency (%)
0 30
2.7%
1 6
 
0.5%
2 4
 
0.4%
3 6
 
0.5%
4 10
 
0.9%
5 1
 
0.1%
6 3
 
0.3%
7 8
 
0.7%
8 5
 
0.4%
9 7
 
0.6%
ValueCountFrequency (%)
74470 1
0.1%
43523 1
0.1%
41349 1
0.1%
19631 1
0.1%
16950 1
0.1%
15153 1
0.1%
9174 1
0.1%
6339 1
0.1%
6172 1
0.1%
6024 1
0.1%

2021-08
Real number (ℝ)

ZEROS 

Distinct491
Distinct (%)44.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean488.62814
Minimum0
Maximum72321
Zeros28
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:26.354791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q146.75
median136
Q3282
95-th percentile1135.5
Maximum72321
Range72321
Interquartile range (IQR)235.25

Descriptive statistics

Standard deviation2992.0888
Coefficient of variation (CV)6.1234476
Kurtosis365.75156
Mean488.62814
Median Absolute Deviation (MAD)102
Skewness17.735924
Sum545309
Variance8952595.3
MonotonicityNot monotonic
2023-12-13T06:52:26.537054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
2.5%
6 11
 
1.0%
7 10
 
0.9%
21 10
 
0.9%
9 10
 
0.9%
16 10
 
0.9%
35 9
 
0.8%
3 9
 
0.8%
57 8
 
0.7%
75 8
 
0.7%
Other values (481) 1003
89.9%
ValueCountFrequency (%)
0 28
2.5%
1 3
 
0.3%
2 3
 
0.3%
3 9
 
0.8%
4 5
 
0.4%
5 5
 
0.4%
6 11
 
1.0%
7 10
 
0.9%
8 6
 
0.5%
9 10
 
0.9%
ValueCountFrequency (%)
72321 1
0.1%
42696 1
0.1%
41178 1
0.1%
18531 1
0.1%
16950 1
0.1%
15220 1
0.1%
9121 1
0.1%
6279 1
0.1%
5824 1
0.1%
5533 1
0.1%

2021-09
Real number (ℝ)

ZEROS 

Distinct462
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443.27061
Minimum0
Maximum65237
Zeros33
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:26.712695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q145
median119
Q3256
95-th percentile961.75
Maximum65237
Range65237
Interquartile range (IQR)211

Descriptive statistics

Standard deviation2711.369
Coefficient of variation (CV)6.1167353
Kurtosis361.84492
Mean443.27061
Median Absolute Deviation (MAD)91
Skewness17.652418
Sum494690
Variance7351521.7
MonotonicityNot monotonic
2023-12-13T06:52:26.871482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
3.0%
4 12
 
1.1%
11 11
 
1.0%
15 11
 
1.0%
16 9
 
0.8%
8 9
 
0.8%
12 8
 
0.7%
19 8
 
0.7%
28 8
 
0.7%
63 8
 
0.7%
Other values (452) 999
89.5%
ValueCountFrequency (%)
0 33
3.0%
1 4
 
0.4%
2 5
 
0.4%
3 5
 
0.4%
4 12
 
1.1%
5 8
 
0.7%
6 3
 
0.3%
7 7
 
0.6%
8 9
 
0.8%
9 7
 
0.6%
ValueCountFrequency (%)
65237 1
0.1%
39376 1
0.1%
36954 1
0.1%
17158 1
0.1%
15408 1
0.1%
13853 1
0.1%
8206 1
0.1%
5847 1
0.1%
5218 1
0.1%
5001 1
0.1%

2021-10
Real number (ℝ)

ZEROS 

Distinct459
Distinct (%)41.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean436.16846
Minimum0
Maximum65773
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:27.017858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q144
median119
Q3252.75
95-th percentile989
Maximum65773
Range65773
Interquartile range (IQR)208.75

Descriptive statistics

Standard deviation2674.6094
Coefficient of variation (CV)6.1320559
Kurtosis382.58985
Mean436.16846
Median Absolute Deviation (MAD)87
Skewness18.104971
Sum486764
Variance7153535.4
MonotonicityNot monotonic
2023-12-13T06:52:27.178604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
5 12
 
1.1%
13 11
 
1.0%
19 10
 
0.9%
20 10
 
0.9%
100 9
 
0.8%
7 9
 
0.8%
8 9
 
0.8%
40 9
 
0.8%
52 8
 
0.7%
Other values (449) 999
89.5%
ValueCountFrequency (%)
0 30
2.7%
1 1
 
0.1%
2 6
 
0.5%
3 6
 
0.5%
4 7
 
0.6%
5 12
 
1.1%
6 6
 
0.5%
7 9
 
0.8%
8 9
 
0.8%
9 8
 
0.7%
ValueCountFrequency (%)
65773 1
0.1%
38563 1
0.1%
34892 1
0.1%
15771 1
0.1%
15513 1
0.1%
12858 1
0.1%
7171 1
0.1%
5976 1
0.1%
5255 1
0.1%
5245 1
0.1%

2021-11
Real number (ℝ)

ZEROS 

Distinct462
Distinct (%)41.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean441.16577
Minimum0
Maximum68281
Zeros32
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:27.350704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.75
Q145.75
median121
Q3245.75
95-th percentile1056.75
Maximum68281
Range68281
Interquartile range (IQR)200

Descriptive statistics

Standard deviation2734.6363
Coefficient of variation (CV)6.1986592
Kurtosis400.36197
Mean441.16577
Median Absolute Deviation (MAD)86.5
Skewness18.518743
Sum492341
Variance7478235.4
MonotonicityNot monotonic
2023-12-13T06:52:27.531569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 32
 
2.9%
9 12
 
1.1%
12 11
 
1.0%
14 11
 
1.0%
11 10
 
0.9%
6 10
 
0.9%
51 10
 
0.9%
17 10
 
0.9%
60 9
 
0.8%
5 8
 
0.7%
Other values (452) 993
89.0%
ValueCountFrequency (%)
0 32
2.9%
1 4
 
0.4%
2 2
 
0.2%
3 4
 
0.4%
4 6
 
0.5%
5 8
 
0.7%
6 10
 
0.9%
7 2
 
0.2%
8 7
 
0.6%
9 12
 
1.1%
ValueCountFrequency (%)
68281 1
0.1%
39263 1
0.1%
35189 1
0.1%
15177 1
0.1%
13980 1
0.1%
12186 1
0.1%
6847 1
0.1%
6162 1
0.1%
6059 1
0.1%
5915 1
0.1%

2021-12
Real number (ℝ)

ZEROS 

Distinct457
Distinct (%)40.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean431.69982
Minimum0
Maximum67243
Zeros28
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:27.674448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q146.75
median118
Q3244.5
95-th percentile915.25
Maximum67243
Range67243
Interquartile range (IQR)197.75

Descriptive statistics

Standard deviation2684.1965
Coefficient of variation (CV)6.2177383
Kurtosis401.38337
Mean431.69982
Median Absolute Deviation (MAD)86
Skewness18.495682
Sum481777
Variance7204910.9
MonotonicityNot monotonic
2023-12-13T06:52:27.836322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
2.5%
45 12
 
1.1%
10 11
 
1.0%
7 10
 
0.9%
59 10
 
0.9%
4 10
 
0.9%
8 9
 
0.8%
9 9
 
0.8%
127 9
 
0.8%
17 8
 
0.7%
Other values (447) 1000
89.6%
ValueCountFrequency (%)
0 28
2.5%
1 3
 
0.3%
2 6
 
0.5%
3 2
 
0.2%
4 10
 
0.9%
5 6
 
0.5%
6 6
 
0.5%
7 10
 
0.9%
8 9
 
0.8%
9 9
 
0.8%
ValueCountFrequency (%)
67243 1
0.1%
37480 1
0.1%
34570 1
0.1%
14831 1
0.1%
14732 1
0.1%
12298 1
0.1%
7039 1
0.1%
6602 1
0.1%
6254 1
0.1%
6092 1
0.1%

2022-01
Real number (ℝ)

ZEROS 

Distinct387
Distinct (%)34.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean321.64695
Minimum0
Maximum52584
Zeros31
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:27.983514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q132
median87.5
Q3183
95-th percentile694.75
Maximum52584
Range52584
Interquartile range (IQR)151

Descriptive statistics

Standard deviation2036.4308
Coefficient of variation (CV)6.331261
Kurtosis436.66066
Mean321.64695
Median Absolute Deviation (MAD)65.5
Skewness19.237714
Sum358958
Variance4147050.5
MonotonicityNot monotonic
2023-12-13T06:52:28.140812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 31
 
2.8%
20 16
 
1.4%
13 14
 
1.3%
22 13
 
1.2%
18 13
 
1.2%
4 13
 
1.2%
9 11
 
1.0%
6 11
 
1.0%
2 11
 
1.0%
57 10
 
0.9%
Other values (377) 973
87.2%
ValueCountFrequency (%)
0 31
2.8%
1 3
 
0.3%
2 11
 
1.0%
3 5
 
0.4%
4 13
1.2%
5 10
 
0.9%
6 11
 
1.0%
7 10
 
0.9%
8 8
 
0.7%
9 11
 
1.0%
ValueCountFrequency (%)
52584 1
0.1%
27166 1
0.1%
25052 1
0.1%
11571 1
0.1%
9859 1
0.1%
8639 1
0.1%
5456 1
0.1%
5039 1
0.1%
4836 1
0.1%
4763 1
0.1%

2022-02
Real number (ℝ)

ZEROS 

Distinct388
Distinct (%)34.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean315.06989
Minimum0
Maximum50796
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:28.302449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q131.75
median86
Q3176
95-th percentile666
Maximum50796
Range50796
Interquartile range (IQR)144.25

Descriptive statistics

Standard deviation1984.616
Coefficient of variation (CV)6.2989707
Kurtosis427.83177
Mean315.06989
Median Absolute Deviation (MAD)62
Skewness19.076421
Sum351618
Variance3938700.8
MonotonicityNot monotonic
2023-12-13T06:52:28.458854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
5 16
 
1.4%
63 14
 
1.3%
6 14
 
1.3%
16 14
 
1.3%
3 13
 
1.2%
8 12
 
1.1%
4 11
 
1.0%
20 11
 
1.0%
103 10
 
0.9%
Other values (378) 971
87.0%
ValueCountFrequency (%)
0 30
2.7%
1 8
 
0.7%
2 9
 
0.8%
3 13
1.2%
4 11
 
1.0%
5 16
1.4%
6 14
1.3%
7 7
 
0.6%
8 12
 
1.1%
9 4
 
0.4%
ValueCountFrequency (%)
50796 1
0.1%
28036 1
0.1%
23757 1
0.1%
10715 1
0.1%
9567 1
0.1%
8287 1
0.1%
5299 1
0.1%
5068 1
0.1%
4840 1
0.1%
4830 1
0.1%

2022-03
Real number (ℝ)

ZEROS 

Distinct419
Distinct (%)37.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean377.98118
Minimum0
Maximum61795
Zeros28
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:28.585129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q141
median105
Q3217.25
95-th percentile788.25
Maximum61795
Range61795
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation2386.8898
Coefficient of variation (CV)6.3148376
Kurtosis440.76001
Mean377.98118
Median Absolute Deviation (MAD)75
Skewness19.328199
Sum421827
Variance5697242.8
MonotonicityNot monotonic
2023-12-13T06:52:28.714267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 28
 
2.5%
7 12
 
1.1%
25 11
 
1.0%
9 11
 
1.0%
41 11
 
1.0%
5 10
 
0.9%
4 10
 
0.9%
24 10
 
0.9%
3 10
 
0.9%
11 9
 
0.8%
Other values (409) 994
89.1%
ValueCountFrequency (%)
0 28
2.5%
1 1
 
0.1%
2 9
 
0.8%
3 10
 
0.9%
4 10
 
0.9%
5 10
 
0.9%
6 6
 
0.5%
7 12
1.1%
8 5
 
0.4%
9 11
 
1.0%
ValueCountFrequency (%)
61795 1
0.1%
32522 1
0.1%
28492 1
0.1%
12638 1
0.1%
11766 1
0.1%
9830 1
0.1%
6635 1
0.1%
6147 1
0.1%
5703 1
0.1%
5507 1
0.1%

2022-04
Real number (ℝ)

ZEROS 

Distinct430
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean395.73925
Minimum0
Maximum62572
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:28.832441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q141
median110.5
Q3225.25
95-th percentile859.25
Maximum62572
Range62572
Interquartile range (IQR)184.25

Descriptive statistics

Standard deviation2466.0772
Coefficient of variation (CV)6.2315711
Kurtosis415.20354
Mean395.73925
Median Absolute Deviation (MAD)80.5
Skewness18.775768
Sum441645
Variance6081537
MonotonicityNot monotonic
2023-12-13T06:52:28.960306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
6 16
 
1.4%
5 12
 
1.1%
8 12
 
1.1%
4 12
 
1.1%
17 10
 
0.9%
14 10
 
0.9%
68 9
 
0.8%
109 8
 
0.7%
9 8
 
0.7%
Other values (420) 989
88.6%
ValueCountFrequency (%)
0 30
2.7%
1 2
 
0.2%
2 7
 
0.6%
3 4
 
0.4%
4 12
 
1.1%
5 12
 
1.1%
6 16
1.4%
7 3
 
0.3%
8 12
 
1.1%
9 8
 
0.7%
ValueCountFrequency (%)
62572 1
0.1%
34063 1
0.1%
30724 1
0.1%
13874 1
0.1%
13219 1
0.1%
10691 1
0.1%
6529 1
0.1%
6115 1
0.1%
5947 1
0.1%
5782 1
0.1%

2022-05
Real number (ℝ)

ZEROS 

Distinct438
Distinct (%)39.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean405.76165
Minimum0
Maximum62708
Zeros30
Zeros (%)2.7%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:29.079682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q143.75
median115.5
Q3231
95-th percentile911.5
Maximum62708
Range62708
Interquartile range (IQR)187.25

Descriptive statistics

Standard deviation2513.9981
Coefficient of variation (CV)6.1957508
Kurtosis397.32398
Mean405.76165
Median Absolute Deviation (MAD)84.5
Skewness18.422459
Sum452830
Variance6320186.3
MonotonicityNot monotonic
2023-12-13T06:52:29.202229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 30
 
2.7%
29 12
 
1.1%
11 12
 
1.1%
38 11
 
1.0%
53 11
 
1.0%
10 10
 
0.9%
5 9
 
0.8%
8 9
 
0.8%
15 9
 
0.8%
7 8
 
0.7%
Other values (428) 995
89.2%
ValueCountFrequency (%)
0 30
2.7%
1 4
 
0.4%
2 6
 
0.5%
3 7
 
0.6%
4 3
 
0.3%
5 9
 
0.8%
6 6
 
0.5%
7 8
 
0.7%
8 9
 
0.8%
9 2
 
0.2%
ValueCountFrequency (%)
62708 1
0.1%
35469 1
0.1%
32536 1
0.1%
14669 1
0.1%
13603 1
0.1%
11058 1
0.1%
6521 1
0.1%
5961 1
0.1%
5613 1
0.1%
5547 1
0.1%

2022-06
Real number (ℝ)

ZEROS 

Distinct412
Distinct (%)36.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.9095
Minimum0
Maximum54124
Zeros34
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:29.324816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q135
median96
Q3197
95-th percentile735
Maximum54124
Range54124
Interquartile range (IQR)162

Descriptive statistics

Standard deviation2161.6936
Coefficient of variation (CV)6.2312897
Kurtosis401.81493
Mean346.9095
Median Absolute Deviation (MAD)71
Skewness18.531861
Sum387151
Variance4672919.2
MonotonicityNot monotonic
2023-12-13T06:52:29.454707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 34
 
3.0%
6 15
 
1.3%
11 14
 
1.3%
52 10
 
0.9%
16 10
 
0.9%
77 10
 
0.9%
8 10
 
0.9%
4 10
 
0.9%
26 10
 
0.9%
76 9
 
0.8%
Other values (402) 984
88.2%
ValueCountFrequency (%)
0 34
3.0%
1 5
 
0.4%
2 7
 
0.6%
3 9
 
0.8%
4 10
 
0.9%
5 6
 
0.5%
6 15
1.3%
7 9
 
0.8%
8 10
 
0.9%
9 6
 
0.5%
ValueCountFrequency (%)
54124 1
0.1%
30348 1
0.1%
27955 1
0.1%
13016 1
0.1%
10975 1
0.1%
9635 1
0.1%
5133 1
0.1%
4903 1
0.1%
4585 1
0.1%
4581 1
0.1%

2022-07
Real number (ℝ)

ZEROS 

Distinct371
Distinct (%)33.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.85215
Minimum0
Maximum46996
Zeros33
Zeros (%)3.0%
Negative0
Negative (%)0.0%
Memory size9.9 KiB
2023-12-13T06:52:29.573206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q128
median78
Q3162.25
95-th percentile628.5
Maximum46996
Range46996
Interquartile range (IQR)134.25

Descriptive statistics

Standard deviation1837.2788
Coefficient of variation (CV)6.3386757
Kurtosis425.72391
Mean289.85215
Median Absolute Deviation (MAD)59
Skewness19.025301
Sum323475
Variance3375593.3
MonotonicityNot monotonic
2023-12-13T06:52:29.696506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 33
 
3.0%
7 16
 
1.4%
16 15
 
1.3%
2 14
 
1.3%
17 13
 
1.2%
38 12
 
1.1%
1 11
 
1.0%
27 11
 
1.0%
4 11
 
1.0%
39 11
 
1.0%
Other values (361) 969
86.8%
ValueCountFrequency (%)
0 33
3.0%
1 11
 
1.0%
2 14
1.3%
3 8
 
0.7%
4 11
 
1.0%
5 7
 
0.6%
6 10
 
0.9%
7 16
1.4%
8 11
 
1.0%
9 7
 
0.6%
ValueCountFrequency (%)
46996 1
0.1%
25295 1
0.1%
22492 1
0.1%
11483 1
0.1%
8451 1
0.1%
7928 1
0.1%
4165 1
0.1%
4139 1
0.1%
4087 1
0.1%
4021 1
0.1%

Sample

지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국 /관할시군구내5751747902609436490360757542166279858611559916937374738894238033888939870716792769735994141019767234772272765699400810882977428734739624990134837587981674470723216523765773682816724352584507966179562572627085412446996
1전국 /관할시도내26551219002763428811291962641531993292222726734422376804731340509462214478034489349985383157317369733580738212479505809639023396194733545491451124333641349411783695434892351893457025052237572849230724325362795522492
2전국 /관할시도외_서울10615863510186107521103297541186010664936511885127201527712444150281532111340124521964720885135921304313297152092165316218151701821517062179861656816950169501540815513139801473298599567117661321913603109758451
3전국 /관할시도외_기타29734231812924529968296502672832472297762756234816367344582636821403144169232173358064986650780336933292534812428305489740172372094836746023449294343543523426963937638563392633748027166280363252234063354693034825295
4서울 /관할시군구내33792720333743064612462666807151623271988239974978057686825045874956938211803729155015566505574575448571260215835623556005416531643423875398931252811259725853311372332102436
5서울 /관할시도내31562578375437064217436459875641535565897260938370767489730943594558820511380706054494964509880746099626659576016675459616024582452184479432242253068274731893882474040993023
6서울 /관할시도외_서울0000000000000000000000000000000000000000000
7서울 /관할시도외_기타2555163920962181262827813787423436724461552684436093588652883666380361048470456436023631368158324919502144834946505547924270429341283865375838792755259830553603385534262932
8서울 종로구/관할시군구내54845061667881747678109154100859440709812193807482957198116101997066716349635547686050857249
9서울 종로구/관할시도내86687411114310310011611214616820216522415910195176226154138116179178901811512161681441431369910612519577719311911292103
지역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
1106제주 /관할시도외_서울136131124163150119531108155181162163110118213211162145151169158160148221316257179208386301246240221197205315236190272220373256174
1107제주 /관할시도외_기타620417628632461383587543646584430541409423540481580610884612484428506729566632580618676721639610513526663716440412569551629520447
1108제주 제주시/관할시군구내88064269086984969976573364779186611569147918826676159021022709751804105814059679781182114312161393102310829611069107412638587669839681028911772
1109제주 제주시/관할시도내100697562462759624958418944525860428376575241691409137616062698972479083825411617376788060
1110제주 제주시/관할시도외_서울716965113616246267706212212261671391671018192111108909614622717910312311717216413711013697188116129172121252175104
1111제주 제주시/관할시도외_기타360207330300225228349302258304292366242257304294350341447450321273301412366380331331379416378396274311387444246227315264325261277
1112제주 서귀포시/관할시군구내306243263275265238369221215265243293280250264285206286345318254283425395416418389403369395413352296326363371312263369398422408320
1113제주 서귀포시/관할시도내9079821111076711310192701209810599828476211105721006165129949210313197144136106717811017982921031041209777
1114제주 서귀포시/관할시도외_서울656259508957694185119404149517444616459585070527589787685269129821031116110812712061100991218170
1115제주 서귀포시/관할시도외_기타260210298332236155238241388280138175167166236187230269437162163155205317200252249287297305261214239215276272194185254287304259170