Overview

Dataset statistics

Number of variables37
Number of observations66
Missing cells320
Missing cells (%)13.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory334.0 B

Variable types

Text1
Numeric36

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 오피스텔 가격동향조사 중 규모별 전월세 전환율 데이터입니다. - 단위 : % - 공표시기 : 조사 다음달 15일(휴일인 경우 그 다음날)
URLhttps://www.data.go.kr/data/15116744/fileData.do

Alerts

2020-07 has 4 (6.1%) missing valuesMissing
2020-08 has 4 (6.1%) missing valuesMissing
2020-09 has 4 (6.1%) missing valuesMissing
2020-10 has 4 (6.1%) missing valuesMissing
2020-11 has 5 (7.6%) missing valuesMissing
2020-12 has 6 (9.1%) missing valuesMissing
2021-01 has 5 (7.6%) missing valuesMissing
2021-02 has 5 (7.6%) missing valuesMissing
2021-03 has 6 (9.1%) missing valuesMissing
2021-04 has 6 (9.1%) missing valuesMissing
2021-05 has 5 (7.6%) missing valuesMissing
2021-06 has 5 (7.6%) missing valuesMissing
2021-07 has 10 (15.2%) missing valuesMissing
2021-08 has 10 (15.2%) missing valuesMissing
2021-09 has 11 (16.7%) missing valuesMissing
2021-10 has 12 (18.2%) missing valuesMissing
2021-11 has 12 (18.2%) missing valuesMissing
2021-12 has 12 (18.2%) missing valuesMissing
2022-01 has 12 (18.2%) missing valuesMissing
2022-02 has 13 (19.7%) missing valuesMissing
2022-03 has 14 (21.2%) missing valuesMissing
2022-04 has 12 (18.2%) missing valuesMissing
2022-05 has 11 (16.7%) missing valuesMissing
2022-06 has 11 (16.7%) missing valuesMissing
2022-07 has 11 (16.7%) missing valuesMissing
2022-08 has 9 (13.6%) missing valuesMissing
2022-09 has 8 (12.1%) missing valuesMissing
2022-10 has 8 (12.1%) missing valuesMissing
2022-11 has 8 (12.1%) missing valuesMissing
2022-12 has 10 (15.2%) missing valuesMissing
2023-01 has 12 (18.2%) missing valuesMissing
2023-02 has 11 (16.7%) missing valuesMissing
2023-03 has 11 (16.7%) missing valuesMissing
2023-04 has 11 (16.7%) missing valuesMissing
2023-05 has 11 (16.7%) missing valuesMissing
2023-06 has 11 (16.7%) missing valuesMissing
지역_규모 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:16:01.215905
Analysis finished2023-12-12 16:16:01.610851
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_규모
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T01:16:01.855407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.272727
Min length8

Characters and Unicode

Total characters810
Distinct characters37
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row전국_40㎡이하
2nd row전국_40㎡초과 60㎡이하
3rd row전국_60㎡초과 85㎡이하
4th row전국_85㎡초과
5th row수도권_40㎡이하
ValueCountFrequency (%)
서울 20
 
16.8%
60㎡이하 17
 
14.3%
85㎡이하 16
 
13.4%
대구_40㎡이하 1
 
0.8%
인천_60㎡초과 1
 
0.8%
인천_40㎡초과 1
 
0.8%
인천_40㎡이하 1
 
0.8%
대구_85㎡초과 1
 
0.8%
대구_60㎡초과 1
 
0.8%
대구_40㎡초과 1
 
0.8%
Other values (59) 59
49.6%
2023-12-13T01:16:02.335793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㎡ 99
 
12.2%
0 67
 
8.3%
_ 66
 
8.1%
53
 
6.5%
이 50
 
6.2%
하 50
 
6.2%
과 49
 
6.0%
초 49
 
6.0%
4 34
 
4.2%
6 33
 
4.1%
Other values (27) 260
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 394
48.6%
Decimal Number 198
24.4%
Other Symbol 99
 
12.2%
Connector Punctuation 66
 
8.1%
Space Separator 53
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 50
12.7%
하 50
12.7%
과 49
12.4%
초 49
12.4%
서 32
 
8.1%
울 28
 
7.1%
권 24
 
6.1%
동 8
 
2.0%
산 8
 
2.0%
도 8
 
2.0%
Other values (19) 88
22.3%
Decimal Number
ValueCountFrequency (%)
0 67
33.8%
4 34
17.2%
6 33
16.7%
8 32
16.2%
5 32
16.2%
Other Symbol
ValueCountFrequency (%)
㎡ 99
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 66
100.0%
Space Separator
ValueCountFrequency (%)
53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 416
51.4%
Hangul 394
48.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 50
12.7%
하 50
12.7%
과 49
12.4%
초 49
12.4%
서 32
 
8.1%
울 28
 
7.1%
권 24
 
6.1%
동 8
 
2.0%
산 8
 
2.0%
도 8
 
2.0%
Other values (19) 88
22.3%
Common
ValueCountFrequency (%)
㎡ 99
23.8%
0 67
16.1%
_ 66
15.9%
53
12.7%
4 34
 
8.2%
6 33
 
7.9%
8 32
 
7.7%
5 32
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 394
48.6%
ASCII 317
39.1%
CJK Compat 99
 
12.2%

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
㎡ 99
100.0%
ASCII
ValueCountFrequency (%)
0 67
21.1%
_ 66
20.8%
53
16.7%
4 34
10.7%
6 33
10.4%
8 32
10.1%
5 32
10.1%
Hangul
ValueCountFrequency (%)
이 50
12.7%
하 50
12.7%
과 49
12.4%
초 49
12.4%
서 32
 
8.1%
울 28
 
7.1%
권 24
 
6.1%
동 8
 
2.0%
산 8
 
2.0%
도 8
 
2.0%
Other values (19) 88
22.3%

2020-07
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)90.3%
Missing4
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean5.1227419
Minimum2.2
Maximum13.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:02.513675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.2
5-th percentile4.0165
Q14.445
median4.925
Q35.375
95-th percentile6.528
Maximum13.26
Range11.06
Interquartile range (IQR)0.93

Descriptive statistics

Standard deviation1.4220375
Coefficient of variation (CV)0.27759304
Kurtosis18.157647
Mean5.1227419
Median Absolute Deviation (MAD)0.475
Skewness3.5377914
Sum317.61
Variance2.0221907
MonotonicityNot monotonic
2023-12-13T01:16:02.673795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.65 3
 
4.5%
5.1 2
 
3.0%
5.11 2
 
3.0%
4.91 2
 
3.0%
4.34 2
 
3.0%
5.13 1
 
1.5%
6.54 1
 
1.5%
4.51 1
 
1.5%
5.36 1
 
1.5%
5.42 1
 
1.5%
Other values (46) 46
69.7%
(Missing) 4
 
6.1%
ValueCountFrequency (%)
2.2 1
1.5%
3.92 1
1.5%
3.93 1
1.5%
4.01 1
1.5%
4.14 1
1.5%
4.15 1
1.5%
4.23 1
1.5%
4.25 1
1.5%
4.27 1
1.5%
4.28 1
1.5%
ValueCountFrequency (%)
13.26 1
1.5%
8.87 1
1.5%
8.58 1
1.5%
6.54 1
1.5%
6.3 1
1.5%
6.14 1
1.5%
5.78 1
1.5%
5.68 1
1.5%
5.64 1
1.5%
5.61 1
1.5%

2020-08
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)90.3%
Missing4
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean5.0675806
Minimum2.93
Maximum8.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:02.855230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.93
5-th percentile4.0355
Q14.36
median4.88
Q35.4575
95-th percentile6.832
Maximum8.69
Range5.76
Interquartile range (IQR)1.0975

Descriptive statistics

Standard deviation0.99898586
Coefficient of variation (CV)0.1971327
Kurtosis3.3590913
Mean5.0675806
Median Absolute Deviation (MAD)0.565
Skewness1.490708
Sum314.19
Variance0.99797274
MonotonicityNot monotonic
2023-12-13T01:16:03.039265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.3 2
 
3.0%
4.75 2
 
3.0%
5.05 2
 
3.0%
4.6 2
 
3.0%
5.15 2
 
3.0%
3.97 2
 
3.0%
6.49 1
 
1.5%
5.54 1
 
1.5%
4.22 1
 
1.5%
4.17 1
 
1.5%
Other values (46) 46
69.7%
(Missing) 4
 
6.1%
ValueCountFrequency (%)
2.93 1
1.5%
3.97 2
3.0%
4.03 1
1.5%
4.14 1
1.5%
4.17 1
1.5%
4.19 1
1.5%
4.21 1
1.5%
4.22 1
1.5%
4.23 1
1.5%
4.24 1
1.5%
ValueCountFrequency (%)
8.69 1
1.5%
8.13 1
1.5%
7.65 1
1.5%
6.85 1
1.5%
6.49 1
1.5%
6.37 1
1.5%
6.31 1
1.5%
6.26 1
1.5%
5.95 1
1.5%
5.75 1
1.5%

2020-09
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)88.7%
Missing4
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean5.1925806
Minimum3.83
Maximum8.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:03.207424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.83
5-th percentile4.084
Q14.45
median5.08
Q35.5375
95-th percentile7.069
Maximum8.99
Range5.16
Interquartile range (IQR)1.0875

Descriptive statistics

Standard deviation1.0341226
Coefficient of variation (CV)0.19915389
Kurtosis3.1561735
Mean5.1925806
Median Absolute Deviation (MAD)0.535
Skewness1.5576455
Sum321.94
Variance1.0694096
MonotonicityNot monotonic
2023-12-13T01:16:03.408726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.61 2
 
3.0%
4.37 2
 
3.0%
5.09 2
 
3.0%
4.21 2
 
3.0%
5.24 2
 
3.0%
4.19 2
 
3.0%
5.15 2
 
3.0%
5.61 1
 
1.5%
6.51 1
 
1.5%
5.0 1
 
1.5%
Other values (45) 45
68.2%
(Missing) 4
 
6.1%
ValueCountFrequency (%)
3.83 1
1.5%
3.91 1
1.5%
3.96 1
1.5%
4.08 1
1.5%
4.16 1
1.5%
4.19 2
3.0%
4.2 1
1.5%
4.21 2
3.0%
4.22 1
1.5%
4.27 1
1.5%
ValueCountFrequency (%)
8.99 1
1.5%
8.51 1
1.5%
7.29 1
1.5%
7.09 1
1.5%
6.67 1
1.5%
6.53 1
1.5%
6.51 1
1.5%
6.44 1
1.5%
6.26 1
1.5%
6.23 1
1.5%

2020-10
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)90.3%
Missing4
Missing (%)6.1%
Infinite0
Infinite (%)0.0%
Mean5.1290323
Minimum3.83
Maximum8.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:03.611387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.83
5-th percentile4.132
Q14.47
median4.94
Q35.605
95-th percentile6.7595
Maximum8.87
Range5.04
Interquartile range (IQR)1.135

Descriptive statistics

Standard deviation0.89945286
Coefficient of variation (CV)0.17536502
Kurtosis3.68577
Mean5.1290323
Median Absolute Deviation (MAD)0.53
Skewness1.5009734
Sum318
Variance0.80901544
MonotonicityNot monotonic
2023-12-13T01:16:03.784106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.82 3
 
4.5%
4.93 2
 
3.0%
4.32 2
 
3.0%
4.54 2
 
3.0%
4.35 2
 
3.0%
5.95 1
 
1.5%
5.73 1
 
1.5%
5.05 1
 
1.5%
5.07 1
 
1.5%
5.23 1
 
1.5%
Other values (46) 46
69.7%
(Missing) 4
 
6.1%
ValueCountFrequency (%)
3.83 1
1.5%
4.0 1
1.5%
4.07 1
1.5%
4.13 1
1.5%
4.17 1
1.5%
4.19 1
1.5%
4.2 1
1.5%
4.21 1
1.5%
4.23 1
1.5%
4.32 2
3.0%
ValueCountFrequency (%)
8.87 1
1.5%
6.81 1
1.5%
6.78 1
1.5%
6.76 1
1.5%
6.75 1
1.5%
6.44 1
1.5%
6.37 1
1.5%
6.27 1
1.5%
5.95 1
1.5%
5.89 1
1.5%

2020-11
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)85.2%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.7718033
Minimum3.69
Maximum6.75
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:04.269820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.69
5-th percentile4.1
Q14.36
median4.67
Q35.06
95-th percentile5.55
Maximum6.75
Range3.06
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.59910352
Coefficient of variation (CV)0.12555076
Kurtosis2.0415607
Mean4.7718033
Median Absolute Deviation (MAD)0.34
Skewness1.1605371
Sum291.08
Variance0.35892503
MonotonicityNot monotonic
2023-12-13T01:16:04.461107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.17 2
 
3.0%
4.49 2
 
3.0%
4.33 2
 
3.0%
4.55 2
 
3.0%
4.44 2
 
3.0%
5.06 2
 
3.0%
4.12 2
 
3.0%
4.5 2
 
3.0%
4.93 2
 
3.0%
5.51 1
 
1.5%
Other values (42) 42
63.6%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
3.69 1
1.5%
3.83 1
1.5%
4.04 1
1.5%
4.1 1
1.5%
4.12 2
3.0%
4.13 1
1.5%
4.14 1
1.5%
4.17 2
3.0%
4.27 1
1.5%
4.31 1
1.5%
ValueCountFrequency (%)
6.75 1
1.5%
6.45 1
1.5%
6.42 1
1.5%
5.55 1
1.5%
5.53 1
1.5%
5.51 1
1.5%
5.48 1
1.5%
5.45 1
1.5%
5.41 1
1.5%
5.25 1
1.5%

2020-12
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)78.3%
Missing6
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean4.7325
Minimum3.53
Maximum6.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:04.621568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.53
5-th percentile4.088
Q14.36
median4.635
Q35.02
95-th percentile5.5205
Maximum6.88
Range3.35
Interquartile range (IQR)0.66

Descriptive statistics

Standard deviation0.574815
Coefficient of variation (CV)0.12146117
Kurtosis3.3691699
Mean4.7325
Median Absolute Deviation (MAD)0.34
Skewness1.2751164
Sum283.95
Variance0.33041229
MonotonicityNot monotonic
2023-12-13T01:16:04.793107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.1 3
 
4.5%
5.49 3
 
4.5%
4.14 3
 
4.5%
4.3 2
 
3.0%
4.28 2
 
3.0%
4.36 2
 
3.0%
4.98 2
 
3.0%
4.9 2
 
3.0%
4.76 2
 
3.0%
4.41 2
 
3.0%
Other values (37) 37
56.1%
(Missing) 6
 
9.1%
ValueCountFrequency (%)
3.53 1
 
1.5%
3.83 1
 
1.5%
4.05 1
 
1.5%
4.09 1
 
1.5%
4.13 1
 
1.5%
4.14 3
4.5%
4.18 1
 
1.5%
4.27 1
 
1.5%
4.28 2
3.0%
4.3 2
3.0%
ValueCountFrequency (%)
6.88 1
 
1.5%
6.54 1
 
1.5%
5.53 1
 
1.5%
5.52 1
 
1.5%
5.49 3
4.5%
5.19 1
 
1.5%
5.17 1
 
1.5%
5.13 1
 
1.5%
5.11 1
 
1.5%
5.1 3
4.5%

2021-01
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)77.0%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.7095082
Minimum1.95
Maximum7.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:04.966845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.95
5-th percentile3.75
Q14.44
median4.65
Q35.02
95-th percentile5.61
Maximum7.11
Range5.16
Interquartile range (IQR)0.58

Descriptive statistics

Standard deviation0.72911459
Coefficient of variation (CV)0.15481757
Kurtosis4.8034309
Mean4.7095082
Median Absolute Deviation (MAD)0.29
Skewness0.00011547215
Sum287.28
Variance0.53160809
MonotonicityNot monotonic
2023-12-13T01:16:05.123672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
4.5 4
 
6.1%
4.65 2
 
3.0%
4.24 2
 
3.0%
5.02 2
 
3.0%
4.7 2
 
3.0%
4.98 2
 
3.0%
4.25 2
 
3.0%
4.45 2
 
3.0%
4.89 2
 
3.0%
4.57 2
 
3.0%
Other values (37) 39
59.1%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
1.95 1
1.5%
3.25 1
1.5%
3.53 1
1.5%
3.75 1
1.5%
4.1 1
1.5%
4.15 1
1.5%
4.19 1
1.5%
4.2 1
1.5%
4.24 2
3.0%
4.25 2
3.0%
ValueCountFrequency (%)
7.11 1
1.5%
6.79 1
1.5%
5.66 1
1.5%
5.61 1
1.5%
5.6 1
1.5%
5.59 1
1.5%
5.54 1
1.5%
5.53 1
1.5%
5.49 1
1.5%
5.25 1
1.5%

2021-02
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)86.9%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.7063934
Minimum1.95
Maximum7.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:05.272757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.95
5-th percentile3.9
Q14.4
median4.64
Q34.94
95-th percentile5.91
Maximum7.64
Range5.69
Interquartile range (IQR)0.54

Descriptive statistics

Standard deviation0.79513737
Coefficient of variation (CV)0.16894834
Kurtosis5.0810982
Mean4.7063934
Median Absolute Deviation (MAD)0.3
Skewness0.5091648
Sum287.09
Variance0.63224344
MonotonicityNot monotonic
2023-12-13T01:16:05.414974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.75 3
 
4.5%
4.47 2
 
3.0%
4.65 2
 
3.0%
4.61 2
 
3.0%
4.4 2
 
3.0%
4.94 2
 
3.0%
4.07 2
 
3.0%
4.52 1
 
1.5%
5.95 1
 
1.5%
4.92 1
 
1.5%
Other values (43) 43
65.2%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
1.95 1
1.5%
3.23 1
1.5%
3.25 1
1.5%
3.9 1
1.5%
4.0 1
1.5%
4.05 1
1.5%
4.07 2
3.0%
4.14 1
1.5%
4.2 1
1.5%
4.21 1
1.5%
ValueCountFrequency (%)
7.64 1
1.5%
7.03 1
1.5%
5.95 1
1.5%
5.91 1
1.5%
5.61 1
1.5%
5.6 1
1.5%
5.53 1
1.5%
5.49 1
1.5%
5.37 1
1.5%
5.24 1
1.5%

2021-03
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)80.0%
Missing6
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean4.7361667
Minimum3.18
Maximum7.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:05.550903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.18
5-th percentile4.057
Q14.44
median4.595
Q34.915
95-th percentile5.9605
Maximum7.02
Range3.84
Interquartile range (IQR)0.475

Descriptive statistics

Standard deviation0.65381304
Coefficient of variation (CV)0.13804688
Kurtosis3.5955625
Mean4.7361667
Median Absolute Deviation (MAD)0.26
Skewness1.1502498
Sum284.17
Variance0.4274715
MonotonicityNot monotonic
2023-12-13T01:16:05.705286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4.65 3
 
4.5%
4.59 3
 
4.5%
4.44 3
 
4.5%
4.57 2
 
3.0%
4.93 2
 
3.0%
4.06 2
 
3.0%
4.91 2
 
3.0%
4.85 2
 
3.0%
4.45 2
 
3.0%
4.67 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 6
 
9.1%
ValueCountFrequency (%)
3.18 1
1.5%
3.25 1
1.5%
4.0 1
1.5%
4.06 2
3.0%
4.13 1
1.5%
4.16 1
1.5%
4.17 1
1.5%
4.21 1
1.5%
4.27 1
1.5%
4.32 1
1.5%
ValueCountFrequency (%)
7.02 1
1.5%
6.85 1
1.5%
5.97 1
1.5%
5.96 1
1.5%
5.59 1
1.5%
5.57 1
1.5%
5.56 1
1.5%
5.55 1
1.5%
5.19 1
1.5%
5.09 1
1.5%

2021-04
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)81.7%
Missing6
Missing (%)9.1%
Infinite0
Infinite (%)0.0%
Mean4.7563333
Minimum2.89
Maximum7.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:05.889891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.89
5-th percentile4.096
Q14.425
median4.63
Q34.97
95-th percentile5.881
Maximum7.04
Range4.15
Interquartile range (IQR)0.545

Descriptive statistics

Standard deviation0.67838284
Coefficient of variation (CV)0.14262727
Kurtosis3.0987625
Mean4.7563333
Median Absolute Deviation (MAD)0.255
Skewness0.88492567
Sum285.38
Variance0.46020328
MonotonicityNot monotonic
2023-12-13T01:16:06.045343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4.65 5
 
7.6%
4.43 3
 
4.5%
4.68 2
 
3.0%
4.36 2
 
3.0%
5.0 2
 
3.0%
4.39 2
 
3.0%
4.46 2
 
3.0%
4.55 1
 
1.5%
5.03 1
 
1.5%
5.6 1
 
1.5%
Other values (39) 39
59.1%
(Missing) 6
 
9.1%
ValueCountFrequency (%)
2.89 1
1.5%
3.25 1
1.5%
4.02 1
1.5%
4.1 1
1.5%
4.13 1
1.5%
4.14 1
1.5%
4.23 1
1.5%
4.31 1
1.5%
4.32 1
1.5%
4.36 2
3.0%
ValueCountFrequency (%)
7.04 1
1.5%
6.8 1
1.5%
6.09 1
1.5%
5.87 1
1.5%
5.64 1
1.5%
5.63 1
1.5%
5.6 1
1.5%
5.59 1
1.5%
5.54 1
1.5%
5.47 1
1.5%

2021-05
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)82.0%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.722459
Minimum2.89
Maximum7.11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:06.201837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.89
5-th percentile3.89
Q14.38
median4.58
Q35
95-th percentile5.88
Maximum7.11
Range4.22
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation0.68070467
Coefficient of variation (CV)0.144142
Kurtosis2.8908972
Mean4.722459
Median Absolute Deviation (MAD)0.31
Skewness0.980097
Sum288.07
Variance0.46335885
MonotonicityNot monotonic
2023-12-13T01:16:06.395313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.38 3
 
4.5%
4.5 2
 
3.0%
4.96 2
 
3.0%
4.11 2
 
3.0%
4.15 2
 
3.0%
4.43 2
 
3.0%
4.58 2
 
3.0%
4.48 2
 
3.0%
4.71 2
 
3.0%
4.59 2
 
3.0%
Other values (40) 40
60.6%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
2.89 1
1.5%
3.75 1
1.5%
3.79 1
1.5%
3.89 1
1.5%
3.94 1
1.5%
4.09 1
1.5%
4.11 2
3.0%
4.15 2
3.0%
4.17 1
1.5%
4.27 1
1.5%
ValueCountFrequency (%)
7.11 1
1.5%
6.74 1
1.5%
5.92 1
1.5%
5.88 1
1.5%
5.71 1
1.5%
5.61 1
1.5%
5.57 1
1.5%
5.47 1
1.5%
5.33 1
1.5%
5.32 1
1.5%

2021-06
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)83.6%
Missing5
Missing (%)7.6%
Infinite0
Infinite (%)0.0%
Mean4.6891803
Minimum1.89
Maximum6.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:06.572497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1.89
5-th percentile3.75
Q14.32
median4.62
Q35.04
95-th percentile5.94
Maximum6.92
Range5.03
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation0.78032962
Coefficient of variation (CV)0.16641067
Kurtosis3.522068
Mean4.6891803
Median Absolute Deviation (MAD)0.34
Skewness-0.11381068
Sum286.04
Variance0.60891432
MonotonicityNot monotonic
2023-12-13T01:16:06.775258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.59 4
 
6.1%
4.86 2
 
3.0%
4.09 2
 
3.0%
5.33 2
 
3.0%
4.7 2
 
3.0%
4.66 2
 
3.0%
4.19 2
 
3.0%
5.04 2
 
3.0%
5.51 1
 
1.5%
1.89 1
 
1.5%
Other values (41) 41
62.1%
(Missing) 5
 
7.6%
ValueCountFrequency (%)
1.89 1
1.5%
2.83 1
1.5%
3.57 1
1.5%
3.75 1
1.5%
3.85 1
1.5%
3.89 1
1.5%
4.09 2
3.0%
4.11 1
1.5%
4.19 2
3.0%
4.2 1
1.5%
ValueCountFrequency (%)
6.92 1
1.5%
6.9 1
1.5%
5.98 1
1.5%
5.94 1
1.5%
5.79 1
1.5%
5.51 1
1.5%
5.42 1
1.5%
5.36 1
1.5%
5.33 2
3.0%
5.31 1
1.5%

2021-07
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)78.6%
Missing10
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean4.8253571
Minimum3.28
Maximum7.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:06.908844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.28
5-th percentile3.9875
Q14.41
median4.74
Q35.1225
95-th percentile6.0175
Maximum7.02
Range3.74
Interquartile range (IQR)0.7125

Descriptive statistics

Standard deviation0.69483278
Coefficient of variation (CV)0.14399614
Kurtosis1.8018445
Mean4.8253571
Median Absolute Deviation (MAD)0.355
Skewness0.90262704
Sum270.22
Variance0.4827926
MonotonicityNot monotonic
2023-12-13T01:16:07.074142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4.71 3
 
4.5%
4.68 2
 
3.0%
4.42 2
 
3.0%
4.82 2
 
3.0%
4.74 2
 
3.0%
5.13 2
 
3.0%
4.97 2
 
3.0%
4.41 2
 
3.0%
4.04 2
 
3.0%
4.76 2
 
3.0%
Other values (34) 35
53.0%
(Missing) 10
 
15.2%
ValueCountFrequency (%)
3.28 1
1.5%
3.65 1
1.5%
3.95 1
1.5%
4.0 1
1.5%
4.04 2
3.0%
4.07 1
1.5%
4.11 1
1.5%
4.12 1
1.5%
4.23 1
1.5%
4.29 1
1.5%
ValueCountFrequency (%)
7.02 1
1.5%
6.81 1
1.5%
6.19 1
1.5%
5.96 1
1.5%
5.78 1
1.5%
5.72 1
1.5%
5.64 1
1.5%
5.56 1
1.5%
5.49 1
1.5%
5.45 1
1.5%

2021-08
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)89.3%
Missing10
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean4.8373214
Minimum3.39
Maximum6.62
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:07.245839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.39
5-th percentile4.0225
Q14.4325
median4.855
Q35.075
95-th percentile5.8825
Maximum6.62
Range3.23
Interquartile range (IQR)0.6425

Descriptive statistics

Standard deviation0.59355781
Coefficient of variation (CV)0.12270382
Kurtosis0.99784146
Mean4.8373214
Median Absolute Deviation (MAD)0.35
Skewness0.5188982
Sum270.89
Variance0.35231088
MonotonicityNot monotonic
2023-12-13T01:16:07.387945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.67 2
 
3.0%
4.84 2
 
3.0%
4.53 2
 
3.0%
4.96 2
 
3.0%
4.38 2
 
3.0%
3.94 2
 
3.0%
4.14 1
 
1.5%
6.24 1
 
1.5%
5.98 1
 
1.5%
5.3 1
 
1.5%
Other values (40) 40
60.6%
(Missing) 10
 
15.2%
ValueCountFrequency (%)
3.39 1
1.5%
3.94 2
3.0%
4.05 1
1.5%
4.06 1
1.5%
4.14 1
1.5%
4.23 1
1.5%
4.24 1
1.5%
4.26 1
1.5%
4.3 1
1.5%
4.31 1
1.5%
ValueCountFrequency (%)
6.62 1
1.5%
6.24 1
1.5%
5.98 1
1.5%
5.85 1
1.5%
5.6 1
1.5%
5.59 1
1.5%
5.55 1
1.5%
5.48 1
1.5%
5.4 1
1.5%
5.39 1
1.5%

2021-09
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)87.3%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean4.8276364
Minimum3.81
Maximum6.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:07.539074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.81
5-th percentile3.932
Q14.395
median4.85
Q35.08
95-th percentile5.953
Maximum6.9
Range3.09
Interquartile range (IQR)0.685

Descriptive statistics

Standard deviation0.59640889
Coefficient of variation (CV)0.12354056
Kurtosis1.8037007
Mean4.8276364
Median Absolute Deviation (MAD)0.3
Skewness0.85852484
Sum265.52
Variance0.35570357
MonotonicityNot monotonic
2023-12-13T01:16:07.682365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4.97 2
 
3.0%
3.81 2
 
3.0%
5.08 2
 
3.0%
5.14 2
 
3.0%
4.39 2
 
3.0%
4.22 2
 
3.0%
4.66 2
 
3.0%
6.12 1
 
1.5%
5.0 1
 
1.5%
5.07 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
3.81 2
3.0%
3.89 1
1.5%
3.95 1
1.5%
4.01 1
1.5%
4.08 1
1.5%
4.22 2
3.0%
4.26 1
1.5%
4.28 1
1.5%
4.33 1
1.5%
4.38 1
1.5%
ValueCountFrequency (%)
6.9 1
1.5%
6.12 1
1.5%
5.96 1
1.5%
5.95 1
1.5%
5.62 1
1.5%
5.52 1
1.5%
5.41 1
1.5%
5.39 1
1.5%
5.36 1
1.5%
5.14 2
3.0%

2021-10
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)85.2%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.9261111
Minimum3.98
Maximum6.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:07.849262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.98
5-th percentile4
Q14.52
median4.915
Q35.265
95-th percentile5.962
Maximum6.86
Range2.88
Interquartile range (IQR)0.745

Descriptive statistics

Standard deviation0.58253971
Coefficient of variation (CV)0.1182555
Kurtosis1.247845
Mean4.9261111
Median Absolute Deviation (MAD)0.4
Skewness0.73173815
Sum266.01
Variance0.33935252
MonotonicityNot monotonic
2023-12-13T01:16:08.021430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5.1 3
 
4.5%
4.0 2
 
3.0%
4.79 2
 
3.0%
4.44 2
 
3.0%
5.01 2
 
3.0%
5.33 2
 
3.0%
3.98 2
 
3.0%
5.31 1
 
1.5%
4.9 1
 
1.5%
4.42 1
 
1.5%
Other values (36) 36
54.5%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
3.98 2
3.0%
4.0 2
3.0%
4.05 1
1.5%
4.25 1
1.5%
4.26 1
1.5%
4.29 1
1.5%
4.42 1
1.5%
4.43 1
1.5%
4.44 2
3.0%
4.47 1
1.5%
ValueCountFrequency (%)
6.86 1
1.5%
6.08 1
1.5%
6.04 1
1.5%
5.92 1
1.5%
5.79 1
1.5%
5.65 1
1.5%
5.49 1
1.5%
5.48 1
1.5%
5.42 1
1.5%
5.39 1
1.5%

2021-11
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)79.6%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.9375926
Minimum4.03
Maximum6.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:08.170948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.03
5-th percentile4.123
Q14.5575
median4.935
Q35.185
95-th percentile5.9095
Maximum6.67
Range2.64
Interquartile range (IQR)0.6275

Descriptive statistics

Standard deviation0.56636189
Coefficient of variation (CV)0.11470406
Kurtosis0.64439744
Mean4.9375926
Median Absolute Deviation (MAD)0.295
Skewness0.65394134
Sum266.63
Variance0.32076579
MonotonicityNot monotonic
2023-12-13T01:16:08.396126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4.17 3
 
4.5%
5.14 2
 
3.0%
4.82 2
 
3.0%
5.03 2
 
3.0%
4.96 2
 
3.0%
4.85 2
 
3.0%
4.27 2
 
3.0%
4.65 2
 
3.0%
4.97 2
 
3.0%
5.79 2
 
3.0%
Other values (33) 33
50.0%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
4.03 1
 
1.5%
4.08 1
 
1.5%
4.11 1
 
1.5%
4.13 1
 
1.5%
4.17 3
4.5%
4.27 2
3.0%
4.33 1
 
1.5%
4.43 1
 
1.5%
4.5 1
 
1.5%
4.51 1
 
1.5%
ValueCountFrequency (%)
6.67 1
1.5%
6.13 1
1.5%
6.02 1
1.5%
5.85 1
1.5%
5.79 2
3.0%
5.64 1
1.5%
5.56 1
1.5%
5.46 1
1.5%
5.4 1
1.5%
5.39 1
1.5%

2021-12
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)88.9%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.9051852
Minimum3.89
Maximum6.53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:08.545934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.89
5-th percentile4.1445
Q14.525
median4.895
Q35.14
95-th percentile5.843
Maximum6.53
Range2.64
Interquartile range (IQR)0.615

Descriptive statistics

Standard deviation0.54597236
Coefficient of variation (CV)0.11130515
Kurtosis0.67522917
Mean4.9051852
Median Absolute Deviation (MAD)0.35
Skewness0.70081094
Sum264.88
Variance0.29808581
MonotonicityNot monotonic
2023-12-13T01:16:09.095970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4.34 3
 
4.5%
4.95 2
 
3.0%
4.42 2
 
3.0%
4.52 2
 
3.0%
4.98 2
 
3.0%
5.08 1
 
1.5%
5.96 1
 
1.5%
4.76 1
 
1.5%
6.17 1
 
1.5%
5.3 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
3.89 1
 
1.5%
3.96 1
 
1.5%
4.06 1
 
1.5%
4.19 1
 
1.5%
4.26 1
 
1.5%
4.34 3
4.5%
4.4 1
 
1.5%
4.42 2
3.0%
4.46 1
 
1.5%
4.52 2
3.0%
ValueCountFrequency (%)
6.53 1
1.5%
6.17 1
1.5%
5.96 1
1.5%
5.78 1
1.5%
5.73 1
1.5%
5.64 1
1.5%
5.62 1
1.5%
5.57 1
1.5%
5.44 1
1.5%
5.43 1
1.5%

2022-01
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)90.7%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean4.9474074
Minimum3.8
Maximum6.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:09.246055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.029
Q14.59
median4.825
Q35.3075
95-th percentile5.895
Maximum6.93
Range3.13
Interquartile range (IQR)0.7175

Descriptive statistics

Standard deviation0.60536652
Coefficient of variation (CV)0.12236035
Kurtosis1.1122283
Mean4.9474074
Median Absolute Deviation (MAD)0.27
Skewness0.74344306
Sum267.16
Variance0.36646862
MonotonicityNot monotonic
2023-12-13T01:16:09.389378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
4.93 2
 
3.0%
4.75 2
 
3.0%
5.74 2
 
3.0%
4.59 2
 
3.0%
3.99 2
 
3.0%
4.87 1
 
1.5%
5.37 1
 
1.5%
6.21 1
 
1.5%
5.39 1
 
1.5%
4.95 1
 
1.5%
Other values (39) 39
59.1%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
3.8 1
1.5%
3.99 2
3.0%
4.05 1
1.5%
4.16 1
1.5%
4.19 1
1.5%
4.22 1
1.5%
4.3 1
1.5%
4.53 1
1.5%
4.55 1
1.5%
4.56 1
1.5%
ValueCountFrequency (%)
6.93 1
1.5%
6.21 1
1.5%
5.96 1
1.5%
5.86 1
1.5%
5.78 1
1.5%
5.74 2
3.0%
5.73 1
1.5%
5.6 1
1.5%
5.53 1
1.5%
5.44 1
1.5%

2022-02
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)86.8%
Missing13
Missing (%)19.7%
Infinite0
Infinite (%)0.0%
Mean5.0220755
Minimum4.01
Maximum7.31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:09.570442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.01
5-th percentile4.202
Q14.63
median4.96
Q35.26
95-th percentile6.056
Maximum7.31
Range3.3
Interquartile range (IQR)0.63

Descriptive statistics

Standard deviation0.59550353
Coefficient of variation (CV)0.11857718
Kurtosis3.1003266
Mean5.0220755
Median Absolute Deviation (MAD)0.32
Skewness1.2784172
Sum266.17
Variance0.35462446
MonotonicityNot monotonic
2023-12-13T01:16:09.761649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4.99 3
 
4.5%
4.61 2
 
3.0%
4.5 2
 
3.0%
4.86 2
 
3.0%
6.17 2
 
3.0%
4.75 2
 
3.0%
5.57 1
 
1.5%
4.66 1
 
1.5%
5.62 1
 
1.5%
5.49 1
 
1.5%
Other values (36) 36
54.5%
(Missing) 13
 
19.7%
ValueCountFrequency (%)
4.01 1
1.5%
4.12 1
1.5%
4.13 1
1.5%
4.25 1
1.5%
4.34 1
1.5%
4.48 1
1.5%
4.5 2
3.0%
4.52 1
1.5%
4.53 1
1.5%
4.56 1
1.5%
ValueCountFrequency (%)
7.31 1
1.5%
6.17 2
3.0%
5.98 1
1.5%
5.87 1
1.5%
5.8 1
1.5%
5.67 1
1.5%
5.62 1
1.5%
5.57 1
1.5%
5.55 1
1.5%
5.49 1
1.5%

2022-03
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)84.6%
Missing14
Missing (%)21.2%
Infinite0
Infinite (%)0.0%
Mean4.9715385
Minimum4.09
Maximum6.23
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:09.921170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.09
5-th percentile4.32
Q14.6475
median4.875
Q35.235
95-th percentile5.9215
Maximum6.23
Range2.14
Interquartile range (IQR)0.5875

Descriptive statistics

Standard deviation0.4919046
Coefficient of variation (CV)0.098944141
Kurtosis0.39630888
Mean4.9715385
Median Absolute Deviation (MAD)0.27
Skewness0.80338529
Sum258.52
Variance0.24197014
MonotonicityNot monotonic
2023-12-13T01:16:10.070324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
4.92 2
 
3.0%
5.02 2
 
3.0%
4.99 2
 
3.0%
4.59 2
 
3.0%
4.61 2
 
3.0%
4.69 2
 
3.0%
4.79 2
 
3.0%
5.57 2
 
3.0%
5.48 1
 
1.5%
5.43 1
 
1.5%
Other values (34) 34
51.5%
(Missing) 14
21.2%
ValueCountFrequency (%)
4.09 1
1.5%
4.18 1
1.5%
4.21 1
1.5%
4.41 1
1.5%
4.45 1
1.5%
4.49 1
1.5%
4.53 1
1.5%
4.56 1
1.5%
4.58 1
1.5%
4.59 2
3.0%
ValueCountFrequency (%)
6.23 1
1.5%
6.21 1
1.5%
6.07 1
1.5%
5.8 1
1.5%
5.73 1
1.5%
5.61 1
1.5%
5.57 2
3.0%
5.48 1
1.5%
5.43 1
1.5%
5.42 1
1.5%

2022-04
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)79.6%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean5.0868519
Minimum4.23
Maximum6.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:10.195308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.23
5-th percentile4.306
Q14.7425
median4.955
Q35.4425
95-th percentile6.1835
Maximum6.94
Range2.71
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation0.55531335
Coefficient of variation (CV)0.10916641
Kurtosis1.2581466
Mean5.0868519
Median Absolute Deviation (MAD)0.285
Skewness0.96883286
Sum274.69
Variance0.30837292
MonotonicityNot monotonic
2023-12-13T01:16:10.357953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
4.84 3
 
4.5%
4.91 3
 
4.5%
5.46 2
 
3.0%
5.7 2
 
3.0%
6.19 2
 
3.0%
4.74 2
 
3.0%
4.41 2
 
3.0%
5.08 2
 
3.0%
4.92 2
 
3.0%
5.39 1
 
1.5%
Other values (33) 33
50.0%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
4.23 1
1.5%
4.27 1
1.5%
4.28 1
1.5%
4.32 1
1.5%
4.41 2
3.0%
4.47 1
1.5%
4.53 1
1.5%
4.58 1
1.5%
4.63 1
1.5%
4.69 1
1.5%
ValueCountFrequency (%)
6.94 1
1.5%
6.19 2
3.0%
6.18 1
1.5%
5.81 1
1.5%
5.78 1
1.5%
5.7 2
3.0%
5.64 1
1.5%
5.62 1
1.5%
5.6 1
1.5%
5.56 1
1.5%

2022-05
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)83.6%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.1149091
Minimum3.15
Maximum7.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:10.511877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.15
5-th percentile4.442
Q14.81
median5.05
Q35.31
95-th percentile6.082
Maximum7.87
Range4.72
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.64512954
Coefficient of variation (CV)0.12612727
Kurtosis6.2829047
Mean5.1149091
Median Absolute Deviation (MAD)0.26
Skewness1.1317051
Sum281.32
Variance0.41619212
MonotonicityNot monotonic
2023-12-13T01:16:10.649212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
4.46 3
 
4.5%
5.18 2
 
3.0%
5.11 2
 
3.0%
5.8 2
 
3.0%
5.45 2
 
3.0%
5.31 2
 
3.0%
5.05 2
 
3.0%
5.6 2
 
3.0%
5.81 1
 
1.5%
6.04 1
 
1.5%
Other values (36) 36
54.5%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
3.15 1
 
1.5%
4.34 1
 
1.5%
4.4 1
 
1.5%
4.46 3
4.5%
4.5 1
 
1.5%
4.53 1
 
1.5%
4.54 1
 
1.5%
4.6 1
 
1.5%
4.64 1
 
1.5%
4.73 1
 
1.5%
ValueCountFrequency (%)
7.87 1
1.5%
6.28 1
1.5%
6.18 1
1.5%
6.04 1
1.5%
5.81 1
1.5%
5.8 2
3.0%
5.76 1
1.5%
5.6 2
3.0%
5.58 1
1.5%
5.45 2
3.0%

2022-06
Real number (ℝ)

MISSING 

Distinct43
Distinct (%)78.2%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.1681818
Minimum4.03
Maximum7.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:10.804311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.03
5-th percentile4.37
Q14.75
median5.05
Q35.495
95-th percentile6.197
Maximum7.96
Range3.93
Interquartile range (IQR)0.745

Descriptive statistics

Standard deviation0.65374729
Coefficient of variation (CV)0.12649464
Kurtosis5.1115415
Mean5.1681818
Median Absolute Deviation (MAD)0.34
Skewness1.6181529
Sum284.25
Variance0.42738552
MonotonicityNot monotonic
2023-12-13T01:16:10.935139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
5.05 3
 
4.5%
5.56 2
 
3.0%
5.11 2
 
3.0%
5.33 2
 
3.0%
4.98 2
 
3.0%
4.37 2
 
3.0%
4.71 2
 
3.0%
4.87 2
 
3.0%
5.12 2
 
3.0%
5.0 2
 
3.0%
Other values (33) 34
51.5%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.03 1
1.5%
4.29 1
1.5%
4.37 2
3.0%
4.43 1
1.5%
4.44 1
1.5%
4.45 1
1.5%
4.48 1
1.5%
4.64 1
1.5%
4.66 1
1.5%
4.69 1
1.5%
ValueCountFrequency (%)
7.96 1
1.5%
6.58 1
1.5%
6.26 1
1.5%
6.17 1
1.5%
6.04 1
1.5%
5.84 1
1.5%
5.82 1
1.5%
5.8 1
1.5%
5.75 1
1.5%
5.67 1
1.5%

2022-07
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)87.3%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.1263636
Minimum2.59
Maximum7.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:11.066158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.59
5-th percentile4.437
Q14.78
median5.1
Q35.41
95-th percentile6.127
Maximum7.02
Range4.43
Interquartile range (IQR)0.63

Descriptive statistics

Standard deviation0.63211685
Coefficient of variation (CV)0.12330706
Kurtosis4.7404043
Mean5.1263636
Median Absolute Deviation (MAD)0.33
Skewness-0.5022126
Sum281.95
Variance0.39957172
MonotonicityNot monotonic
2023-12-13T01:16:11.194581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5.76 3
 
4.5%
5.32 2
 
3.0%
5.1 2
 
3.0%
4.72 2
 
3.0%
5.05 2
 
3.0%
5.15 2
 
3.0%
5.77 1
 
1.5%
4.91 1
 
1.5%
5.79 1
 
1.5%
6.1 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
2.59 1
1.5%
4.42 1
1.5%
4.43 1
1.5%
4.44 1
1.5%
4.48 1
1.5%
4.49 1
1.5%
4.52 1
1.5%
4.54 1
1.5%
4.56 1
1.5%
4.6 1
1.5%
ValueCountFrequency (%)
7.02 1
 
1.5%
6.29 1
 
1.5%
6.19 1
 
1.5%
6.1 1
 
1.5%
5.79 1
 
1.5%
5.77 1
 
1.5%
5.76 3
4.5%
5.73 1
 
1.5%
5.65 1
 
1.5%
5.58 1
 
1.5%

2022-08
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)84.2%
Missing9
Missing (%)13.6%
Infinite0
Infinite (%)0.0%
Mean5.0880702
Minimum4.08
Maximum6.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:11.348301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.08
5-th percentile4.22
Q14.81
median5.05
Q35.43
95-th percentile6.262
Maximum6.69
Range2.61
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation0.57930204
Coefficient of variation (CV)0.11385496
Kurtosis0.34000649
Mean5.0880702
Median Absolute Deviation (MAD)0.34
Skewness0.6204117
Sum290.02
Variance0.33559085
MonotonicityNot monotonic
2023-12-13T01:16:11.475258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4.89 3
 
4.5%
5.64 2
 
3.0%
4.82 2
 
3.0%
4.22 2
 
3.0%
4.46 2
 
3.0%
5.43 2
 
3.0%
5.13 2
 
3.0%
5.06 2
 
3.0%
5.84 1
 
1.5%
5.05 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 9
 
13.6%
ValueCountFrequency (%)
4.08 1
1.5%
4.13 1
1.5%
4.22 2
3.0%
4.23 1
1.5%
4.43 1
1.5%
4.44 1
1.5%
4.46 2
3.0%
4.49 1
1.5%
4.51 1
1.5%
4.57 1
1.5%
ValueCountFrequency (%)
6.69 1
1.5%
6.34 1
1.5%
6.31 1
1.5%
6.25 1
1.5%
6.11 1
1.5%
5.84 1
1.5%
5.79 1
1.5%
5.66 1
1.5%
5.64 2
3.0%
5.58 1
1.5%

2022-09
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)86.2%
Missing8
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean5.1251724
Minimum3.91
Maximum6.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:11.610336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.91
5-th percentile4.2725
Q14.7575
median5.07
Q35.41
95-th percentile6.177
Maximum6.46
Range2.55
Interquartile range (IQR)0.6525

Descriptive statistics

Standard deviation0.56118684
Coefficient of variation (CV)0.10949619
Kurtosis0.021792955
Mean5.1251724
Median Absolute Deviation (MAD)0.34
Skewness0.42063006
Sum297.26
Variance0.31493067
MonotonicityNot monotonic
2023-12-13T01:16:11.742789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.9 3
 
4.5%
5.07 3
 
4.5%
5.68 2
 
3.0%
5.28 2
 
3.0%
5.11 2
 
3.0%
4.96 2
 
3.0%
4.87 1
 
1.5%
6.11 1
 
1.5%
5.16 1
 
1.5%
4.67 1
 
1.5%
Other values (40) 40
60.6%
(Missing) 8
 
12.1%
ValueCountFrequency (%)
3.91 1
1.5%
4.2 1
1.5%
4.23 1
1.5%
4.28 1
1.5%
4.32 1
1.5%
4.46 1
1.5%
4.53 1
1.5%
4.54 1
1.5%
4.56 1
1.5%
4.6 1
1.5%
ValueCountFrequency (%)
6.46 1
1.5%
6.35 1
1.5%
6.33 1
1.5%
6.15 1
1.5%
6.11 1
1.5%
5.87 1
1.5%
5.86 1
1.5%
5.84 1
1.5%
5.72 1
1.5%
5.69 1
1.5%

2022-10
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)81.0%
Missing8
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean5.2
Minimum3.64
Maximum6.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:11.898375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.64
5-th percentile4.441
Q14.89
median5.14
Q35.4
95-th percentile6.261
Maximum6.78
Range3.14
Interquartile range (IQR)0.51

Descriptive statistics

Standard deviation0.57082581
Coefficient of variation (CV)0.10977419
Kurtosis1.0177288
Mean5.2
Median Absolute Deviation (MAD)0.26
Skewness0.44076161
Sum301.6
Variance0.32584211
MonotonicityNot monotonic
2023-12-13T01:16:12.025278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.13 3
 
4.5%
4.94 3
 
4.5%
5.4 2
 
3.0%
4.77 2
 
3.0%
4.89 2
 
3.0%
5.39 2
 
3.0%
5.2 2
 
3.0%
5.14 2
 
3.0%
4.46 2
 
3.0%
5.28 1
 
1.5%
Other values (37) 37
56.1%
(Missing) 8
 
12.1%
ValueCountFrequency (%)
3.64 1
1.5%
4.35 1
1.5%
4.39 1
1.5%
4.45 1
1.5%
4.46 2
3.0%
4.56 1
1.5%
4.62 1
1.5%
4.72 1
1.5%
4.76 1
1.5%
4.77 2
3.0%
ValueCountFrequency (%)
6.78 1
1.5%
6.48 1
1.5%
6.38 1
1.5%
6.24 1
1.5%
6.2 1
1.5%
6.11 1
1.5%
5.95 1
1.5%
5.82 1
1.5%
5.81 1
1.5%
5.76 1
1.5%

2022-11
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)81.0%
Missing8
Missing (%)12.1%
Infinite0
Infinite (%)0.0%
Mean5.3668966
Minimum3.54
Maximum7.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:12.154061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.54
5-th percentile4.557
Q15.0325
median5.285
Q35.645
95-th percentile6.488
Maximum7.28
Range3.74
Interquartile range (IQR)0.6125

Descriptive statistics

Standard deviation0.62802728
Coefficient of variation (CV)0.1170187
Kurtosis1.9198164
Mean5.3668966
Median Absolute Deviation (MAD)0.255
Skewness0.62072829
Sum311.28
Variance0.39441827
MonotonicityNot monotonic
2023-12-13T01:16:12.302188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.29 3
 
4.5%
5.34 3
 
4.5%
5.3 2
 
3.0%
5.28 2
 
3.0%
5.14 2
 
3.0%
6.32 2
 
3.0%
5.76 2
 
3.0%
5.04 2
 
3.0%
5.03 2
 
3.0%
6.76 1
 
1.5%
Other values (37) 37
56.1%
(Missing) 8
 
12.1%
ValueCountFrequency (%)
3.54 1
1.5%
4.51 1
1.5%
4.54 1
1.5%
4.56 1
1.5%
4.62 1
1.5%
4.71 1
1.5%
4.72 1
1.5%
4.85 1
1.5%
4.87 1
1.5%
4.88 1
1.5%
ValueCountFrequency (%)
7.28 1
1.5%
6.91 1
1.5%
6.76 1
1.5%
6.44 1
1.5%
6.32 2
3.0%
6.27 1
1.5%
6.04 1
1.5%
6.0 1
1.5%
5.88 1
1.5%
5.77 1
1.5%

2022-12
Real number (ℝ)

MISSING 

Distinct45
Distinct (%)80.4%
Missing10
Missing (%)15.2%
Infinite0
Infinite (%)0.0%
Mean5.4741071
Minimum4.54
Maximum7.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:12.554516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.54
5-th percentile4.855
Q15.07
median5.4
Q35.69
95-th percentile6.4725
Maximum7.04
Range2.5
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation0.53759998
Coefficient of variation (CV)0.098207792
Kurtosis1.1418195
Mean5.4741071
Median Absolute Deviation (MAD)0.315
Skewness1.0547869
Sum306.55
Variance0.28901373
MonotonicityNot monotonic
2023-12-13T01:16:12.700026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
5.01 3
 
4.5%
5.86 2
 
3.0%
5.21 2
 
3.0%
5.92 2
 
3.0%
5.66 2
 
3.0%
4.92 2
 
3.0%
4.93 2
 
3.0%
5.43 2
 
3.0%
5.39 2
 
3.0%
5.45 2
 
3.0%
Other values (35) 35
53.0%
(Missing) 10
 
15.2%
ValueCountFrequency (%)
4.54 1
 
1.5%
4.79 1
 
1.5%
4.81 1
 
1.5%
4.87 1
 
1.5%
4.9 1
 
1.5%
4.91 1
 
1.5%
4.92 2
3.0%
4.93 2
3.0%
4.99 1
 
1.5%
5.01 3
4.5%
ValueCountFrequency (%)
7.04 1
1.5%
6.98 1
1.5%
6.72 1
1.5%
6.39 1
1.5%
6.29 1
1.5%
6.27 1
1.5%
6.16 1
1.5%
6.08 1
1.5%
5.92 2
3.0%
5.91 1
1.5%

2023-01
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)88.9%
Missing12
Missing (%)18.2%
Infinite0
Infinite (%)0.0%
Mean5.5640741
Minimum4.36
Maximum7.08
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:12.849480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.36
5-th percentile4.743
Q15.15
median5.47
Q35.9425
95-th percentile6.638
Maximum7.08
Range2.72
Interquartile range (IQR)0.7925

Descriptive statistics

Standard deviation0.60149662
Coefficient of variation (CV)0.10810363
Kurtosis-0.15542283
Mean5.5640741
Median Absolute Deviation (MAD)0.43
Skewness0.53646175
Sum300.46
Variance0.36179818
MonotonicityNot monotonic
2023-12-13T01:16:13.341034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
4.94 2
 
3.0%
5.44 2
 
3.0%
5.18 2
 
3.0%
5.66 2
 
3.0%
5.04 2
 
3.0%
4.73 2
 
3.0%
6.6 1
 
1.5%
6.01 1
 
1.5%
5.49 1
 
1.5%
5.92 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 12
 
18.2%
ValueCountFrequency (%)
4.36 1
1.5%
4.73 2
3.0%
4.75 1
1.5%
4.79 1
1.5%
4.9 1
1.5%
4.94 2
3.0%
4.98 1
1.5%
5.02 1
1.5%
5.03 1
1.5%
5.04 2
3.0%
ValueCountFrequency (%)
7.08 1
1.5%
6.82 1
1.5%
6.69 1
1.5%
6.61 1
1.5%
6.6 1
1.5%
6.59 1
1.5%
6.28 1
1.5%
6.26 1
1.5%
6.2 1
1.5%
6.14 1
1.5%

2023-02
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)87.3%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.716
Minimum4.35
Maximum9.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:13.517351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.35
5-th percentile4.662
Q15.11
median5.62
Q36.09
95-th percentile7.083
Maximum9.43
Range5.08
Interquartile range (IQR)0.98

Descriptive statistics

Standard deviation0.85222932
Coefficient of variation (CV)0.1490954
Kurtosis5.3817618
Mean5.716
Median Absolute Deviation (MAD)0.51
Skewness1.6270897
Sum314.38
Variance0.72629481
MonotonicityNot monotonic
2023-12-13T01:16:13.698762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
5.09 3
 
4.5%
5.68 2
 
3.0%
5.16 2
 
3.0%
5.57 2
 
3.0%
5.11 2
 
3.0%
4.68 2
 
3.0%
6.14 1
 
1.5%
5.64 1
 
1.5%
5.55 1
 
1.5%
6.32 1
 
1.5%
Other values (38) 38
57.6%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.35 1
 
1.5%
4.6 1
 
1.5%
4.62 1
 
1.5%
4.68 2
3.0%
4.79 1
 
1.5%
4.8 1
 
1.5%
4.99 1
 
1.5%
5.02 1
 
1.5%
5.07 1
 
1.5%
5.09 3
4.5%
ValueCountFrequency (%)
9.43 1
1.5%
7.14 1
1.5%
7.09 1
1.5%
7.08 1
1.5%
6.77 1
1.5%
6.73 1
1.5%
6.58 1
1.5%
6.55 1
1.5%
6.54 1
1.5%
6.53 1
1.5%

2023-03
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)85.5%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.7907273
Minimum4.53
Maximum8.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:13.837804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.53
5-th percentile4.597
Q15.185
median5.75
Q36.09
95-th percentile6.954
Maximum8.77
Range4.24
Interquartile range (IQR)0.905

Descriptive statistics

Standard deviation0.76620241
Coefficient of variation (CV)0.1323154
Kurtosis2.9542871
Mean5.7907273
Median Absolute Deviation (MAD)0.47
Skewness0.96762356
Sum318.49
Variance0.58706613
MonotonicityNot monotonic
2023-12-13T01:16:13.958728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.64 3
 
4.5%
5.13 2
 
3.0%
6.08 2
 
3.0%
5.16 2
 
3.0%
5.97 2
 
3.0%
4.59 2
 
3.0%
5.15 2
 
3.0%
5.78 1
 
1.5%
5.93 1
 
1.5%
6.79 1
 
1.5%
Other values (37) 37
56.1%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.53 1
1.5%
4.59 2
3.0%
4.6 1
1.5%
4.7 1
1.5%
4.71 1
1.5%
4.84 1
1.5%
5.05 1
1.5%
5.13 2
3.0%
5.15 2
3.0%
5.16 2
3.0%
ValueCountFrequency (%)
8.77 1
1.5%
7.03 1
1.5%
7.01 1
1.5%
6.93 1
1.5%
6.79 1
1.5%
6.69 1
1.5%
6.57 1
1.5%
6.55 1
1.5%
6.51 1
1.5%
6.48 1
1.5%

2023-04
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)90.9%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.8530909
Minimum4.66
Maximum8.43
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:14.084960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.66
5-th percentile4.745
Q15.405
median5.81
Q36.115
95-th percentile6.979
Maximum8.43
Range3.77
Interquartile range (IQR)0.71

Descriptive statistics

Standard deviation0.71953656
Coefficient of variation (CV)0.12293275
Kurtosis1.8593133
Mean5.8530909
Median Absolute Deviation (MAD)0.33
Skewness0.7575847
Sum321.92
Variance0.51773286
MonotonicityNot monotonic
2023-12-13T01:16:14.271137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.76 2
 
3.0%
5.64 2
 
3.0%
5.72 2
 
3.0%
6.09 2
 
3.0%
5.75 2
 
3.0%
5.66 1
 
1.5%
5.55 1
 
1.5%
6.94 1
 
1.5%
6.14 1
 
1.5%
6.12 1
 
1.5%
Other values (40) 40
60.6%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.66 1
1.5%
4.68 1
1.5%
4.71 1
1.5%
4.76 2
3.0%
4.85 1
1.5%
4.89 1
1.5%
5.01 1
1.5%
5.2 1
1.5%
5.21 1
1.5%
5.23 1
1.5%
ValueCountFrequency (%)
8.43 1
1.5%
7.15 1
1.5%
7.07 1
1.5%
6.94 1
1.5%
6.86 1
1.5%
6.73 1
1.5%
6.64 1
1.5%
6.61 1
1.5%
6.53 1
1.5%
6.51 1
1.5%

2023-05
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)90.9%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.8803636
Minimum4.6
Maximum8.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:14.430172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6
5-th percentile4.817
Q15.45
median5.82
Q36.22
95-th percentile6.96
Maximum8.49
Range3.89
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation0.7170489
Coefficient of variation (CV)0.12193955
Kurtosis2.162051
Mean5.8803636
Median Absolute Deviation (MAD)0.38
Skewness0.86274824
Sum323.42
Variance0.51415912
MonotonicityNot monotonic
2023-12-13T01:16:14.588734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.83 2
 
3.0%
6.02 2
 
3.0%
5.6 2
 
3.0%
5.71 2
 
3.0%
6.31 2
 
3.0%
5.55 1
 
1.5%
6.93 1
 
1.5%
6.11 1
 
1.5%
6.25 1
 
1.5%
6.57 1
 
1.5%
Other values (40) 40
60.6%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.6 1
1.5%
4.71 1
1.5%
4.81 1
1.5%
4.82 1
1.5%
4.83 2
3.0%
4.95 1
1.5%
5.18 1
1.5%
5.27 1
1.5%
5.28 1
1.5%
5.33 1
1.5%
ValueCountFrequency (%)
8.49 1
1.5%
7.35 1
1.5%
7.03 1
1.5%
6.93 1
1.5%
6.88 1
1.5%
6.87 1
1.5%
6.63 1
1.5%
6.57 1
1.5%
6.53 1
1.5%
6.51 1
1.5%

2023-06
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)89.1%
Missing11
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean5.8345455
Minimum4.63
Maximum7.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T01:16:14.760916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.63
5-th percentile4.817
Q15.495
median5.76
Q36.135
95-th percentile6.976
Maximum7.71
Range3.08
Interquartile range (IQR)0.64

Descriptive statistics

Standard deviation0.6551585
Coefficient of variation (CV)0.11228955
Kurtosis0.57936643
Mean5.8345455
Median Absolute Deviation (MAD)0.3
Skewness0.55311909
Sum320.9
Variance0.42923266
MonotonicityNot monotonic
2023-12-13T01:16:14.934586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.78 3
 
4.5%
5.32 2
 
3.0%
4.63 2
 
3.0%
4.84 2
 
3.0%
5.9 2
 
3.0%
7.27 1
 
1.5%
6.75 1
 
1.5%
5.47 1
 
1.5%
6.94 1
 
1.5%
5.74 1
 
1.5%
Other values (39) 39
59.1%
(Missing) 11
 
16.7%
ValueCountFrequency (%)
4.63 2
3.0%
4.81 1
1.5%
4.82 1
1.5%
4.84 2
3.0%
5.05 1
1.5%
5.21 1
1.5%
5.32 2
3.0%
5.44 1
1.5%
5.45 1
1.5%
5.47 1
1.5%
ValueCountFrequency (%)
7.71 1
1.5%
7.27 1
1.5%
7.06 1
1.5%
6.94 1
1.5%
6.93 1
1.5%
6.88 1
1.5%
6.75 1
1.5%
6.49 1
1.5%
6.44 1
1.5%
6.37 1
1.5%

Sample

지역_규모2020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국_40㎡이하5.165.125.155.144.974.94.894.894.914.894.884.864.864.874.894.924.974.985.015.025.065.085.095.125.155.135.185.265.345.435.565.625.695.695.735.76
1전국_40㎡초과 60㎡이하5.25.145.184.974.634.634.684.654.624.654.714.734.764.844.95.025.035.04.934.965.025.085.115.175.155.035.075.095.235.445.665.895.996.036.025.91
2전국_60㎡초과 85㎡이하4.594.494.884.824.344.414.54.474.454.394.384.394.685.05.125.15.15.074.814.614.664.794.955.05.024.965.075.135.295.455.446.556.556.516.516.35
3전국_85㎡초과4.154.34.574.824.54.454.444.374.474.464.414.524.424.454.384.554.724.694.565.14.734.965.114.954.914.924.965.145.35.345.185.165.155.285.445.45
4수도권_40㎡이하5.15.085.115.14.934.864.844.844.854.834.824.84.824.844.854.874.914.914.934.934.975.05.015.055.075.065.115.25.295.395.515.575.645.645.695.72
5수도권_40㎡초과 60㎡이하5.115.055.074.934.614.614.664.614.594.654.714.724.744.814.885.035.035.024.944.995.055.145.145.195.165.05.035.055.25.395.525.886.06.056.025.92
6수도권_60㎡초과 85㎡이하4.654.595.14.994.364.414.54.474.454.394.384.44.685.015.135.15.115.084.784.534.594.724.884.934.974.975.075.135.295.465.456.586.576.536.536.37
7수도권_85㎡초과4.144.314.614.874.514.484.474.44.444.434.394.54.424.464.44.564.774.714.555.124.744.925.14.934.874.894.95.125.275.355.195.165.135.275.45.44
8지방_40㎡이하5.685.625.615.75.515.535.595.65.595.635.575.425.165.155.365.655.795.785.785.85.85.815.85.85.775.845.865.956.046.086.26.336.346.346.386.44
9지방_40㎡초과 60㎡이하6.145.956.515.464.764.764.764.754.674.654.694.794.975.095.044.994.994.924.914.94.954.955.035.055.115.275.365.395.445.685.955.945.955.965.985.81
지역_규모2020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
56울산_40㎡이하5.65.515.855.855.255.175.255.375.565.645.715.795.725.595.525.485.565.575.445.555.575.75.765.825.765.795.725.575.545.635.855.966.086.066.196.28
57울산_40㎡초과 60㎡이하4.524.484.614.324.494.533.753.94.274.324.514.885.135.64.844.794.333.893.84.124.214.324.895.115.15.175.425.325.145.215.265.445.585.645.335.58
58울산_60㎡초과 85㎡이하4.84.534.864.814.984.985.495.494.514.813.794.093.654.144.49<NA><NA><NA><NA><NA><NA><NA>3.154.032.594.494.464.785.345.42<NA><NA><NA><NA><NA><NA>
59울산_85㎡초과4.544.233.914.0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
60세종_40㎡이하5.786.266.236.375.535.495.545.245.195.475.325.365.965.855.965.925.855.735.866.176.216.196.286.266.296.316.336.386.276.296.616.776.696.736.877.27
61세종_40㎡초과 60㎡이하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>7.28<NA><NA><NA><NA><NA><NA><NA>
62경기_40㎡이하5.155.155.215.215.075.085.095.095.085.035.04.964.975.065.085.15.145.165.25.175.225.265.255.275.285.235.285.395.515.665.835.865.935.915.945.97
63경기_40㎡초과 60㎡이하4.944.754.854.714.494.464.464.464.444.554.594.614.574.744.824.914.824.734.684.854.884.894.965.034.944.824.894.895.035.245.445.685.785.815.775.67
64경기_60㎡초과 85㎡이하4.654.65.155.014.334.364.414.44.384.364.434.595.495.395.395.355.245.214.834.54.584.744.94.95.064.834.94.945.045.165.235.845.966.015.955.86
65경기_85㎡초과5.125.425.535.595.25.195.194.945.045.055.24.865.125.35.085.135.214.954.744.484.684.915.084.985.054.894.874.775.024.94.95.285.65.765.715.74