Overview

Dataset statistics

Number of variables140
Number of observations87
Missing cells61
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.1 KiB
Average record size in memory1.2 KiB

Variable types

Text1
Numeric139

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국주택가격동향조사 중 단독주택 규모별 전월세전환율 데이터입니다. - (기준월 : 2012.06 = 100) - 공표시기 : 익익월 15일(발표일이 휴일인 경우 그 다음날) ex) 6월에 5월 월간동향 발표 시 전월세전환율은 4월까지 공표 - 단위 : %
Author한국부동산원
URLhttps://www.data.go.kr/data/15047776/fileData.do

Alerts

2011-01 has 3 (3.4%) missing valuesMissing
2011-02 has 3 (3.4%) missing valuesMissing
2011-03 has 3 (3.4%) missing valuesMissing
2011-04 has 3 (3.4%) missing valuesMissing
2011-05 has 3 (3.4%) missing valuesMissing
2011-06 has 3 (3.4%) missing valuesMissing
2011-07 has 3 (3.4%) missing valuesMissing
2011-08 has 3 (3.4%) missing valuesMissing
2011-09 has 3 (3.4%) missing valuesMissing
2011-10 has 3 (3.4%) missing valuesMissing
2011-11 has 3 (3.4%) missing valuesMissing
2011-12 has 3 (3.4%) missing valuesMissing
2012-01 has 3 (3.4%) missing valuesMissing
2012-02 has 3 (3.4%) missing valuesMissing
2012-03 has 3 (3.4%) missing valuesMissing
2012-04 has 3 (3.4%) missing valuesMissing
2012-05 has 3 (3.4%) missing valuesMissing
2012-06 has 3 (3.4%) missing valuesMissing
2012-07 has 1 (1.1%) missing valuesMissing
2012-09 has 1 (1.1%) missing valuesMissing
2013-06 has 1 (1.1%) missing valuesMissing
2014-09 has 1 (1.1%) missing valuesMissing
2014-10 has 1 (1.1%) missing valuesMissing
2014-11 has 1 (1.1%) missing valuesMissing
2014-12 has 1 (1.1%) missing valuesMissing
지역_규모 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:06:25.718384
Analysis finished2023-12-12 12:06:27.121304
Duration1.4 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_규모
Text

UNIQUE 

Distinct87
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-12T21:06:27.303175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length11.241379
Min length8

Characters and Unicode

Total characters978
Distinct characters44
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

Unique87 ?
Unique (%)100.0%

Sample

1st row전국_30㎡이하
2nd row전국_30㎡초과 60㎡이하
3rd row전국_60㎡초과
4th row수도권_30㎡이하
5th row수도권_30㎡초과 60㎡이하
ValueCountFrequency (%)
60㎡이하 29
 
21.2%
서울 21
 
15.3%
울산_30㎡이하 1
 
0.7%
강원_30㎡이하 1
 
0.7%
경기_60㎡초과 1
 
0.7%
경기_30㎡초과 1
 
0.7%
경기_30㎡이하 1
 
0.7%
세종_60㎡초과 1
 
0.7%
세종_30㎡초과 1
 
0.7%
세종_30㎡이하 1
 
0.7%
Other values (79) 79
57.7%
2023-12-12T21:06:27.821610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 116
11.9%
116
11.9%
_ 87
 
8.9%
58
 
5.9%
6 58
 
5.9%
3 58
 
5.9%
58
 
5.9%
58
 
5.9%
58
 
5.9%
50
 
5.1%
Other values (34) 261
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 487
49.8%
Decimal Number 238
24.3%
Other Symbol 116
 
11.9%
Connector Punctuation 87
 
8.9%
Space Separator 50
 
5.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
58
11.9%
58
11.9%
58
11.9%
58
11.9%
30
 
6.2%
27
 
5.5%
18
 
3.7%
18
 
3.7%
18
 
3.7%
12
 
2.5%
Other values (26) 132
27.1%
Decimal Number
ValueCountFrequency (%)
0 116
48.7%
6 58
24.4%
3 58
24.4%
5 3
 
1.3%
8 3
 
1.3%
Other Symbol
ValueCountFrequency (%)
116
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 87
100.0%
Space Separator
ValueCountFrequency (%)
50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 491
50.2%
Hangul 487
49.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
58
11.9%
58
11.9%
58
11.9%
58
11.9%
30
 
6.2%
27
 
5.5%
18
 
3.7%
18
 
3.7%
18
 
3.7%
12
 
2.5%
Other values (26) 132
27.1%
Common
ValueCountFrequency (%)
0 116
23.6%
116
23.6%
_ 87
17.7%
6 58
11.8%
3 58
11.8%
50
10.2%
5 3
 
0.6%
8 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 487
49.8%
ASCII 375
38.3%
CJK Compat 116
 
11.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 116
30.9%
_ 87
23.2%
6 58
15.5%
3 58
15.5%
50
13.3%
5 3
 
0.8%
8 3
 
0.8%
CJK Compat
ValueCountFrequency (%)
116
100.0%
Hangul
ValueCountFrequency (%)
58
11.9%
58
11.9%
58
11.9%
58
11.9%
30
 
6.2%
27
 
5.5%
18
 
3.7%
18
 
3.7%
18
 
3.7%
12
 
2.5%
Other values (26) 132
27.1%

2011-01
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:28.349617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:28.565970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-02
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:28.736242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:28.936218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-03
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:29.107067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:29.284066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-04
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:29.456798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:29.634115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-05
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:29.821154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:29.997501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-06
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.995238
Minimum6.3
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:30.164129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.03
Q19.2
median10.8
Q312.85
95-th percentile14.685
Maximum16.7
Range10.4
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.3703441
Coefficient of variation (CV)0.21557915
Kurtosis-0.65766975
Mean10.995238
Median Absolute Deviation (MAD)1.7
Skewness0.10715219
Sum923.6
Variance5.6185313
MonotonicityNot monotonic
2023-12-12T21:06:30.312088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 5
 
5.7%
11.3 3
 
3.4%
11.6 3
 
3.4%
9.2 3
 
3.4%
10.6 2
 
2.3%
10.3 2
 
2.3%
9.5 2
 
2.3%
10.4 2
 
2.3%
12.5 2
 
2.3%
14.3 2
 
2.3%
Other values (45) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.3 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
7.0 2
2.3%
7.2 1
1.1%
7.3 1
1.1%
7.4 1
1.1%
7.9 1
1.1%
8.0 1
1.1%
8.3 1
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.6 1
1.1%
14.9 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 2
2.3%
14.0 2
2.3%
13.8 2
2.3%

2011-07
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)67.9%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.922619
Minimum6.4
Maximum17.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:30.460054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile7.03
Q19.175
median10.75
Q312.525
95-th percentile14.7
Maximum17.2
Range10.8
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.4107366
Coefficient of variation (CV)0.22071049
Kurtosis-0.40453164
Mean10.922619
Median Absolute Deviation (MAD)1.65
Skewness0.26545387
Sum917.5
Variance5.8116509
MonotonicityNot monotonic
2023-12-12T21:06:30.609958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 5
 
5.7%
12.0 5
 
5.7%
11.0 3
 
3.4%
8.9 3
 
3.4%
11.6 3
 
3.4%
10.3 2
 
2.3%
14.0 2
 
2.3%
10.6 2
 
2.3%
10.2 2
 
2.3%
11.3 2
 
2.3%
Other values (47) 55
63.2%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.4 1
1.1%
6.8 2
2.3%
7.0 2
2.3%
7.2 2
2.3%
7.4 1
1.1%
7.9 2
2.3%
8.0 1
1.1%
8.1 1
1.1%
8.5 1
1.1%
8.7 1
1.1%
ValueCountFrequency (%)
17.2 1
1.1%
16.4 1
1.1%
15.5 1
1.1%
15.0 1
1.1%
14.7 2
2.3%
14.6 1
1.1%
14.4 1
1.1%
14.1 1
1.1%
14.0 2
2.3%
13.9 1
1.1%

2011-08
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)65.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.917857
Minimum6.5
Maximum16.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:30.750470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.5
5-th percentile7.015
Q19.175
median10.7
Q312.9
95-th percentile14.985
Maximum16.1
Range9.6
Interquartile range (IQR)3.725

Descriptive statistics

Standard deviation2.4214484
Coefficient of variation (CV)0.22178788
Kurtosis-0.78438649
Mean10.917857
Median Absolute Deviation (MAD)1.7
Skewness0.17477936
Sum917.1
Variance5.8634122
MonotonicityNot monotonic
2023-12-12T21:06:30.883963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.0 3
 
3.4%
12.0 3
 
3.4%
13.8 3
 
3.4%
9.6 3
 
3.4%
7.0 3
 
3.4%
9.0 3
 
3.4%
12.9 3
 
3.4%
11.6 3
 
3.4%
10.7 3
 
3.4%
9.4 3
 
3.4%
Other values (45) 54
62.1%
ValueCountFrequency (%)
6.5 1
 
1.1%
6.9 1
 
1.1%
7.0 3
3.4%
7.1 1
 
1.1%
7.2 1
 
1.1%
7.4 1
 
1.1%
7.5 1
 
1.1%
7.7 1
 
1.1%
7.9 2
2.3%
8.4 1
 
1.1%
ValueCountFrequency (%)
16.1 1
1.1%
15.6 1
1.1%
15.4 1
1.1%
15.3 1
1.1%
15.0 1
1.1%
14.9 1
1.1%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 1
1.1%

2011-09
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)69.0%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.785714
Minimum6.4
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:31.020947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile6.9
Q19.075
median10.55
Q312.575
95-th percentile15
Maximum16
Range9.6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.4505786
Coefficient of variation (CV)0.22720597
Kurtosis-0.68367208
Mean10.785714
Median Absolute Deviation (MAD)1.65
Skewness0.25144114
Sum906
Variance6.0053356
MonotonicityNot monotonic
2023-12-12T21:06:31.196712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.8 3
 
3.4%
11.3 3
 
3.4%
10.0 3
 
3.4%
10.8 3
 
3.4%
9.2 3
 
3.4%
11.7 3
 
3.4%
10.5 2
 
2.3%
10.6 2
 
2.3%
9.0 2
 
2.3%
6.9 2
 
2.3%
Other values (48) 58
66.7%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.4 1
 
1.1%
6.8 3
3.4%
6.9 2
2.3%
7.1 1
 
1.1%
7.2 1
 
1.1%
7.3 1
 
1.1%
7.6 1
 
1.1%
7.9 2
2.3%
8.3 1
 
1.1%
8.5 1
 
1.1%
ValueCountFrequency (%)
16.0 1
1.1%
15.8 1
1.1%
15.5 1
1.1%
15.4 1
1.1%
15.0 2
2.3%
14.7 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
14.3 1
1.1%
13.9 1
1.1%

2011-10
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)64.3%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.7
Minimum6.1
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:31.364623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile6.8
Q19
median10.55
Q312.225
95-th percentile14.955
Maximum16
Range9.9
Interquartile range (IQR)3.225

Descriptive statistics

Standard deviation2.4721582
Coefficient of variation (CV)0.23104282
Kurtosis-0.59830114
Mean10.7
Median Absolute Deviation (MAD)1.55
Skewness0.28234823
Sum898.8
Variance6.1115663
MonotonicityNot monotonic
2023-12-12T21:06:31.519898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.8 3
 
3.4%
9.1 3
 
3.4%
10.6 3
 
3.4%
13.6 3
 
3.4%
6.8 3
 
3.4%
9.5 3
 
3.4%
9.0 3
 
3.4%
12.1 2
 
2.3%
8.6 2
 
2.3%
16.0 2
 
2.3%
Other values (44) 57
65.5%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.1 1
 
1.1%
6.5 1
 
1.1%
6.7 1
 
1.1%
6.8 3
3.4%
6.9 2
2.3%
7.1 1
 
1.1%
7.8 2
2.3%
8.2 1
 
1.1%
8.4 1
 
1.1%
8.6 2
2.3%
ValueCountFrequency (%)
16.0 2
2.3%
15.5 1
 
1.1%
15.4 1
 
1.1%
15.0 1
 
1.1%
14.7 2
2.3%
14.6 1
 
1.1%
14.4 1
 
1.1%
14.2 1
 
1.1%
13.7 2
2.3%
13.6 3
3.4%

2011-11
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)69.0%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.613095
Minimum5.9
Maximum15.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:31.687625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.615
Q19
median10.35
Q312.05
95-th percentile14.7
Maximum15.4
Range9.5
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation2.401344
Coefficient of variation (CV)0.22626236
Kurtosis-0.67652997
Mean10.613095
Median Absolute Deviation (MAD)1.6
Skewness0.15761052
Sum891.5
Variance5.766453
MonotonicityNot monotonic
2023-12-12T21:06:31.850961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 4
 
4.6%
9.6 3
 
3.4%
9.0 3
 
3.4%
9.8 3
 
3.4%
8.6 2
 
2.3%
14.4 2
 
2.3%
11.2 2
 
2.3%
14.8 2
 
2.3%
14.7 2
 
2.3%
10.4 2
 
2.3%
Other values (48) 59
67.8%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
5.9 1
1.1%
6.4 1
1.1%
6.5 1
1.1%
6.6 2
2.3%
6.7 1
1.1%
6.8 1
1.1%
6.9 1
1.1%
7.2 1
1.1%
7.7 2
2.3%
8.2 1
1.1%
ValueCountFrequency (%)
15.4 1
1.1%
15.2 1
1.1%
14.8 2
2.3%
14.7 2
2.3%
14.5 1
1.1%
14.4 2
2.3%
14.1 1
1.1%
13.8 1
1.1%
13.7 2
2.3%
13.6 2
2.3%

2011-12
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)64.3%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.463095
Minimum5.7
Maximum16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:32.008208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.6
Q18.8
median10.2
Q312
95-th percentile14.525
Maximum16
Range10.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.4092082
Coefficient of variation (CV)0.2302577
Kurtosis-0.54285938
Mean10.463095
Median Absolute Deviation (MAD)1.6
Skewness0.18377377
Sum878.9
Variance5.8042843
MonotonicityNot monotonic
2023-12-12T21:06:32.170835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 4
 
4.6%
10.2 4
 
4.6%
9.5 4
 
4.6%
8.8 4
 
4.6%
14.0 3
 
3.4%
9.1 3
 
3.4%
11.2 3
 
3.4%
6.7 2
 
2.3%
12.2 2
 
2.3%
10.0 2
 
2.3%
Other values (44) 53
60.9%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
5.7 1
1.1%
6.1 1
1.1%
6.5 2
2.3%
6.6 2
2.3%
6.7 2
2.3%
7.0 1
1.1%
7.1 1
1.1%
7.6 1
1.1%
7.9 1
1.1%
8.2 2
2.3%
ValueCountFrequency (%)
16.0 1
 
1.1%
15.4 1
 
1.1%
15.0 1
 
1.1%
14.7 1
 
1.1%
14.6 1
 
1.1%
14.1 1
 
1.1%
14.0 3
3.4%
13.8 2
2.3%
13.7 1
 
1.1%
13.5 2
2.3%

2012-01
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)64.3%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.527381
Minimum6
Maximum15.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:32.317515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.6
Q18.8
median10.25
Q312.025
95-th percentile14.54
Maximum15.4
Range9.4
Interquartile range (IQR)3.225

Descriptive statistics

Standard deviation2.3649729
Coefficient of variation (CV)0.22464969
Kurtosis-0.71207218
Mean10.527381
Median Absolute Deviation (MAD)1.65
Skewness0.12339357
Sum884.3
Variance5.5930967
MonotonicityNot monotonic
2023-12-12T21:06:32.466115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5 5
 
5.7%
8.8 5
 
5.7%
12.0 5
 
5.7%
10.8 3
 
3.4%
11.3 3
 
3.4%
14.0 3
 
3.4%
9.2 3
 
3.4%
13.7 2
 
2.3%
8.2 2
 
2.3%
9.3 2
 
2.3%
Other values (44) 51
58.6%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.0 1
1.1%
6.3 1
1.1%
6.4 1
1.1%
6.5 1
1.1%
6.6 2
2.3%
6.8 1
1.1%
6.9 1
1.1%
7.2 1
1.1%
7.6 1
1.1%
7.9 1
1.1%
ValueCountFrequency (%)
15.4 1
 
1.1%
15.0 2
2.3%
14.7 1
 
1.1%
14.6 1
 
1.1%
14.2 1
 
1.1%
14.0 3
3.4%
13.7 2
2.3%
13.6 2
2.3%
13.4 1
 
1.1%
13.2 1
 
1.1%

2012-02
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)61.9%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.461905
Minimum5.8
Maximum15.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:32.911190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.6
Q18.7
median10.3
Q312
95-th percentile14.355
Maximum15.2
Range9.4
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.3185426
Coefficient of variation (CV)0.22161763
Kurtosis-0.66395875
Mean10.461905
Median Absolute Deviation (MAD)1.65
Skewness0.067424139
Sum878.8
Variance5.3756397
MonotonicityNot monotonic
2023-12-12T21:06:33.052771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.3 4
 
4.6%
8.7 4
 
4.6%
12.0 4
 
4.6%
11.4 3
 
3.4%
6.6 3
 
3.4%
9.8 3
 
3.4%
8.6 3
 
3.4%
13.1 2
 
2.3%
8.3 2
 
2.3%
14.0 2
 
2.3%
Other values (42) 54
62.1%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
5.8 1
 
1.1%
6.3 2
2.3%
6.4 1
 
1.1%
6.6 3
3.4%
6.8 1
 
1.1%
7.2 1
 
1.1%
7.6 1
 
1.1%
8.0 1
 
1.1%
8.2 1
 
1.1%
8.3 2
2.3%
ValueCountFrequency (%)
15.2 1
1.1%
14.8 2
2.3%
14.5 1
1.1%
14.4 1
1.1%
14.1 1
1.1%
14.0 2
2.3%
13.8 2
2.3%
13.5 1
1.1%
13.3 1
1.1%
13.2 1
1.1%

2012-03
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)56.0%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.435714
Minimum5.8
Maximum14.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:33.185011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.615
Q18.925
median10.25
Q312
95-th percentile14.1
Maximum14.8
Range9
Interquartile range (IQR)3.075

Descriptive statistics

Standard deviation2.2501214
Coefficient of variation (CV)0.21561739
Kurtosis-0.71647711
Mean10.435714
Median Absolute Deviation (MAD)1.65
Skewness0.025696262
Sum876.6
Variance5.0630465
MonotonicityNot monotonic
2023-12-12T21:06:33.329934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
9.6 5
 
5.7%
12.0 4
 
4.6%
8.6 4
 
4.6%
13.2 4
 
4.6%
10.2 4
 
4.6%
11.0 3
 
3.4%
9.3 3
 
3.4%
9.2 3
 
3.4%
12.9 3
 
3.4%
14.1 3
 
3.4%
Other values (37) 48
55.2%
ValueCountFrequency (%)
5.8 1
1.1%
6.3 1
1.1%
6.5 1
1.1%
6.6 2
2.3%
6.7 2
2.3%
6.8 1
1.1%
7.3 1
1.1%
7.5 1
1.1%
8.0 1
1.1%
8.2 2
2.3%
ValueCountFrequency (%)
14.8 2
2.3%
14.2 1
 
1.1%
14.1 3
3.4%
14.0 1
 
1.1%
13.8 1
 
1.1%
13.6 1
 
1.1%
13.5 1
 
1.1%
13.2 4
4.6%
12.9 3
3.4%
12.8 1
 
1.1%

2012-04
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)58.3%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.4
Minimum6.2
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:33.459153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.6
Q18.8
median10.3
Q312
95-th percentile13.87
Maximum15.1
Range8.9
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.1975342
Coefficient of variation (CV)0.21130137
Kurtosis-0.6976627
Mean10.4
Median Absolute Deviation (MAD)1.6
Skewness0.073443567
Sum873.6
Variance4.8291566
MonotonicityNot monotonic
2023-12-12T21:06:33.605580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
12.0 5
 
5.7%
13.2 4
 
4.6%
10.3 4
 
4.6%
10.8 3
 
3.4%
6.6 3
 
3.4%
11.2 3
 
3.4%
12.7 3
 
3.4%
8.8 3
 
3.4%
9.2 3
 
3.4%
10.1 3
 
3.4%
Other values (39) 50
57.5%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.2 1
 
1.1%
6.5 2
2.3%
6.6 3
3.4%
6.8 1
 
1.1%
6.9 1
 
1.1%
7.5 1
 
1.1%
7.6 1
 
1.1%
8.0 1
 
1.1%
8.2 2
2.3%
8.3 1
 
1.1%
ValueCountFrequency (%)
15.1 1
 
1.1%
14.7 1
 
1.1%
14.3 2
2.3%
13.9 1
 
1.1%
13.7 1
 
1.1%
13.6 1
 
1.1%
13.4 2
2.3%
13.2 4
4.6%
13.1 1
 
1.1%
12.9 1
 
1.1%

2012-05
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)57.1%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.389286
Minimum6.2
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:33.744493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.5
Q18.8
median10.3
Q312
95-th percentile13.955
Maximum15
Range8.8
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.2143028
Coefficient of variation (CV)0.2131333
Kurtosis-0.58403324
Mean10.389286
Median Absolute Deviation (MAD)1.7
Skewness0.015603407
Sum872.7
Variance4.9031368
MonotonicityNot monotonic
2023-12-12T21:06:33.894160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
12.0 5
 
5.7%
10.1 4
 
4.6%
9.3 4
 
4.6%
8.6 4
 
4.6%
10.7 3
 
3.4%
10.3 3
 
3.4%
9.2 2
 
2.3%
9.6 2
 
2.3%
13.0 2
 
2.3%
8.1 2
 
2.3%
Other values (38) 53
60.9%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.2 1
1.1%
6.3 1
1.1%
6.4 2
2.3%
6.5 2
2.3%
6.6 2
2.3%
7.3 1
1.1%
7.4 1
1.1%
8.1 2
2.3%
8.3 2
2.3%
8.5 2
2.3%
ValueCountFrequency (%)
15.0 1
1.1%
14.8 1
1.1%
14.7 1
1.1%
14.3 1
1.1%
14.0 1
1.1%
13.7 1
1.1%
13.6 1
1.1%
13.3 2
2.3%
13.2 2
2.3%
13.1 1
1.1%

2012-06
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)59.5%
Missing3
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.416667
Minimum6.2
Maximum16.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:34.056011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.4
Q18.875
median10.25
Q312
95-th percentile14.28
Maximum16.7
Range10.5
Interquartile range (IQR)3.125

Descriptive statistics

Standard deviation2.3047794
Coefficient of variation (CV)0.22125882
Kurtosis-0.27537501
Mean10.416667
Median Absolute Deviation (MAD)1.65
Skewness0.19559845
Sum875
Variance5.312008
MonotonicityNot monotonic
2023-12-12T21:06:34.216758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.3 5
 
5.7%
6.4 4
 
4.6%
9.6 4
 
4.6%
8.5 3
 
3.4%
11.0 3
 
3.4%
12.0 3
 
3.4%
8.8 2
 
2.3%
13.3 2
 
2.3%
10.0 2
 
2.3%
10.1 2
 
2.3%
Other values (40) 54
62.1%
(Missing) 3
 
3.4%
ValueCountFrequency (%)
6.2 1
 
1.1%
6.3 1
 
1.1%
6.4 4
4.6%
6.6 2
2.3%
7.4 1
 
1.1%
7.6 1
 
1.1%
7.8 1
 
1.1%
8.1 1
 
1.1%
8.2 1
 
1.1%
8.4 1
 
1.1%
ValueCountFrequency (%)
16.7 1
1.1%
15.2 1
1.1%
14.6 1
1.1%
14.5 1
1.1%
14.4 1
1.1%
13.6 2
2.3%
13.5 2
2.3%
13.3 2
2.3%
13.2 1
1.1%
13.1 1
1.1%

2012-07
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)60.5%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10.594186
Minimum6
Maximum21.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:34.371740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.425
Q18.9
median10.3
Q312
95-th percentile14.65
Maximum21.5
Range15.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation2.6933624
Coefficient of variation (CV)0.25423024
Kurtosis2.6281192
Mean10.594186
Median Absolute Deviation (MAD)1.7
Skewness1.006919
Sum911.1
Variance7.2542011
MonotonicityNot monotonic
2023-12-12T21:06:34.597866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 5
 
5.7%
12.0 4
 
4.6%
9.6 3
 
3.4%
10.3 3
 
3.4%
12.5 3
 
3.4%
8.9 3
 
3.4%
7.7 2
 
2.3%
9.7 2
 
2.3%
8.3 2
 
2.3%
11.4 2
 
2.3%
Other values (42) 57
65.5%
ValueCountFrequency (%)
6.0 1
1.1%
6.3 2
2.3%
6.4 2
2.3%
6.5 2
2.3%
6.6 1
1.1%
7.4 1
1.1%
7.7 2
2.3%
8.0 1
1.1%
8.3 2
2.3%
8.5 1
1.1%
ValueCountFrequency (%)
21.5 1
1.1%
18.8 1
1.1%
15.4 1
1.1%
14.9 1
1.1%
14.7 1
1.1%
14.5 1
1.1%
13.9 1
1.1%
13.8 1
1.1%
13.6 1
1.1%
13.5 1
1.1%

2012-08
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.389655
Minimum6.2
Maximum20.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:34.742288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.2
5-th percentile6.43
Q18.85
median10.2
Q311.9
95-th percentile14.02
Maximum20.3
Range14.1
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation2.4103958
Coefficient of variation (CV)0.2319996
Kurtosis2.2070946
Mean10.389655
Median Absolute Deviation (MAD)1.6
Skewness0.817982
Sum903.9
Variance5.810008
MonotonicityNot monotonic
2023-12-12T21:06:34.878671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5 5
 
5.7%
12.0 4
 
4.6%
11.9 3
 
3.4%
13.2 3
 
3.4%
6.4 3
 
3.4%
9.0 3
 
3.4%
10.3 3
 
3.4%
10.1 3
 
3.4%
11.0 2
 
2.3%
9.4 2
 
2.3%
Other values (42) 56
64.4%
ValueCountFrequency (%)
6.2 1
 
1.1%
6.3 1
 
1.1%
6.4 3
3.4%
6.5 1
 
1.1%
6.7 1
 
1.1%
6.9 1
 
1.1%
7.4 1
 
1.1%
7.6 1
 
1.1%
7.7 1
 
1.1%
8.0 1
 
1.1%
ValueCountFrequency (%)
20.3 1
 
1.1%
15.8 1
 
1.1%
14.8 1
 
1.1%
14.2 2
2.3%
13.6 1
 
1.1%
13.5 2
2.3%
13.4 2
2.3%
13.2 3
3.4%
12.9 1
 
1.1%
12.8 1
 
1.1%

2012-09
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)61.6%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10.217442
Minimum6.1
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:35.025959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile6.325
Q18.6
median10.1
Q311.775
95-th percentile13.475
Maximum15.1
Range9
Interquartile range (IQR)3.175

Descriptive statistics

Standard deviation2.2074309
Coefficient of variation (CV)0.21604536
Kurtosis-0.59780529
Mean10.217442
Median Absolute Deviation (MAD)1.6
Skewness0.079411602
Sum878.7
Variance4.872751
MonotonicityNot monotonic
2023-12-12T21:06:35.195329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 4
 
4.6%
8.5 4
 
4.6%
10.6 3
 
3.4%
8.6 3
 
3.4%
6.3 3
 
3.4%
9.1 3
 
3.4%
13.4 3
 
3.4%
11.7 3
 
3.4%
12.0 3
 
3.4%
9.4 2
 
2.3%
Other values (43) 55
63.2%
ValueCountFrequency (%)
6.1 1
 
1.1%
6.2 1
 
1.1%
6.3 3
3.4%
6.4 2
2.3%
6.6 1
 
1.1%
7.4 1
 
1.1%
7.5 1
 
1.1%
7.6 1
 
1.1%
7.9 1
 
1.1%
8.0 1
 
1.1%
ValueCountFrequency (%)
15.1 1
 
1.1%
14.8 1
 
1.1%
14.3 1
 
1.1%
14.0 1
 
1.1%
13.5 1
 
1.1%
13.4 3
3.4%
13.3 2
2.3%
13.2 2
2.3%
13.1 1
 
1.1%
13.0 1
 
1.1%

2012-10
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.198851
Minimum6
Maximum16.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:35.341153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.3
Q18.5
median10.1
Q311.65
95-th percentile13.87
Maximum16.9
Range10.9
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.282211
Coefficient of variation (CV)0.22377139
Kurtosis-0.1100031
Mean10.198851
Median Absolute Deviation (MAD)1.6
Skewness0.2758729
Sum887.3
Variance5.208487
MonotonicityNot monotonic
2023-12-12T21:06:35.498594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.4 4
 
4.6%
10.7 4
 
4.6%
10.6 3
 
3.4%
10.4 3
 
3.4%
10.0 3
 
3.4%
6.2 3
 
3.4%
9.0 3
 
3.4%
11.6 3
 
3.4%
13.2 3
 
3.4%
11.2 2
 
2.3%
Other values (44) 56
64.4%
ValueCountFrequency (%)
6.0 1
 
1.1%
6.2 3
3.4%
6.3 2
2.3%
6.4 1
 
1.1%
7.1 1
 
1.1%
7.3 2
2.3%
7.5 1
 
1.1%
7.7 1
 
1.1%
7.9 2
2.3%
8.0 1
 
1.1%
ValueCountFrequency (%)
16.9 1
 
1.1%
15.0 1
 
1.1%
14.4 1
 
1.1%
14.3 1
 
1.1%
13.9 1
 
1.1%
13.8 1
 
1.1%
13.6 1
 
1.1%
13.4 1
 
1.1%
13.2 3
3.4%
13.0 1
 
1.1%

2012-11
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.089655
Minimum5.8
Maximum14.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:35.648425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.3
Q18.6
median9.9
Q311.75
95-th percentile13.68
Maximum14.6
Range8.8
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.2020622
Coefficient of variation (CV)0.2182495
Kurtosis-0.66507111
Mean10.089655
Median Absolute Deviation (MAD)1.5
Skewness0.077471583
Sum877.8
Variance4.8490778
MonotonicityNot monotonic
2023-12-12T21:06:35.800291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 4
 
4.6%
12.0 4
 
4.6%
9.5 4
 
4.6%
9.0 3
 
3.4%
9.3 3
 
3.4%
8.4 3
 
3.4%
13.3 2
 
2.3%
10.8 2
 
2.3%
13.0 2
 
2.3%
9.6 2
 
2.3%
Other values (43) 58
66.7%
ValueCountFrequency (%)
5.8 1
 
1.1%
6.1 1
 
1.1%
6.2 1
 
1.1%
6.3 4
4.6%
6.5 1
 
1.1%
7.2 2
2.3%
7.4 1
 
1.1%
7.8 2
2.3%
8.1 2
2.3%
8.2 2
2.3%
ValueCountFrequency (%)
14.6 1
1.1%
14.4 1
1.1%
14.2 1
1.1%
14.0 1
1.1%
13.8 1
1.1%
13.4 1
1.1%
13.3 2
2.3%
13.2 1
1.1%
13.1 2
2.3%
13.0 2
2.3%

2012-12
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.063218
Minimum5.7
Maximum14.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:35.949940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.3
Q18.4
median10
Q311.6
95-th percentile13.64
Maximum14.8
Range9.1
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.2150182
Coefficient of variation (CV)0.22011032
Kurtosis-0.67519036
Mean10.063218
Median Absolute Deviation (MAD)1.6
Skewness0.097499815
Sum875.5
Variance4.9063058
MonotonicityNot monotonic
2023-12-12T21:06:36.117423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3 5
 
5.7%
6.3 4
 
4.6%
13.0 3
 
3.4%
9.9 3
 
3.4%
8.7 3
 
3.4%
12.1 3
 
3.4%
8.3 3
 
3.4%
8.4 3
 
3.4%
10.6 2
 
2.3%
13.7 2
 
2.3%
Other values (43) 56
64.4%
ValueCountFrequency (%)
5.7 1
 
1.1%
6.2 2
2.3%
6.3 4
4.6%
6.6 1
 
1.1%
7.1 1
 
1.1%
7.2 1
 
1.1%
7.3 1
 
1.1%
7.8 2
2.3%
7.9 1
 
1.1%
8.0 1
 
1.1%
ValueCountFrequency (%)
14.8 1
 
1.1%
14.4 1
 
1.1%
14.2 1
 
1.1%
13.7 2
2.3%
13.5 1
 
1.1%
13.4 1
 
1.1%
13.2 2
2.3%
13.1 2
2.3%
13.0 3
3.4%
12.9 1
 
1.1%

2013-01
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.105747
Minimum5.9
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:36.289699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.33
Q18.6
median10
Q311.85
95-th percentile13.6
Maximum15.1
Range9.2
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.2503414
Coefficient of variation (CV)0.22267937
Kurtosis-0.66134192
Mean10.105747
Median Absolute Deviation (MAD)1.6
Skewness0.16371446
Sum879.2
Variance5.0640364
MonotonicityNot monotonic
2023-12-12T21:06:36.466396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8 5
 
5.7%
10.7 4
 
4.6%
12.0 4
 
4.6%
8.3 4
 
4.6%
9.1 3
 
3.4%
10.0 3
 
3.4%
9.3 3
 
3.4%
6.3 3
 
3.4%
9.2 2
 
2.3%
8.4 2
 
2.3%
Other values (43) 54
62.1%
ValueCountFrequency (%)
5.9 1
 
1.1%
6.0 1
 
1.1%
6.3 3
3.4%
6.4 1
 
1.1%
6.5 1
 
1.1%
6.6 1
 
1.1%
7.0 1
 
1.1%
7.2 1
 
1.1%
7.3 1
 
1.1%
7.9 2
2.3%
ValueCountFrequency (%)
15.1 1
1.1%
14.7 1
1.1%
14.4 1
1.1%
13.9 1
1.1%
13.6 2
2.3%
13.4 2
2.3%
13.3 1
1.1%
13.2 1
1.1%
13.1 2
2.3%
13.0 1
1.1%

2013-02
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.13908
Minimum5.1
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:36.692092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.4
Q18.55
median10.1
Q311.95
95-th percentile13.78
Maximum14.7
Range9.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.2496696
Coefficient of variation (CV)0.22188102
Kurtosis-0.59663053
Mean10.13908
Median Absolute Deviation (MAD)1.6
Skewness0.01706558
Sum882.1
Variance5.0610131
MonotonicityNot monotonic
2023-12-12T21:06:36.915732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.9 5
 
5.7%
10.8 4
 
4.6%
9.7 4
 
4.6%
10.2 3
 
3.4%
12.0 3
 
3.4%
8.1 3
 
3.4%
8.4 3
 
3.4%
6.4 3
 
3.4%
10.7 2
 
2.3%
12.1 2
 
2.3%
Other values (44) 55
63.2%
ValueCountFrequency (%)
5.1 1
 
1.1%
5.9 1
 
1.1%
6.2 1
 
1.1%
6.4 3
3.4%
6.6 1
 
1.1%
6.7 1
 
1.1%
6.8 1
 
1.1%
7.1 1
 
1.1%
7.3 2
2.3%
7.9 1
 
1.1%
ValueCountFrequency (%)
14.7 1
 
1.1%
14.6 1
 
1.1%
14.3 1
 
1.1%
14.2 1
 
1.1%
13.9 1
 
1.1%
13.5 2
 
2.3%
13.4 1
 
1.1%
13.2 1
 
1.1%
13.1 1
 
1.1%
12.9 5
5.7%

2013-03
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.112644
Minimum5.1
Maximum14.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:37.114552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.4
Q18.55
median10.2
Q312
95-th percentile13.5
Maximum14.3
Range9.2
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.1905614
Coefficient of variation (CV)0.2166161
Kurtosis-0.65727056
Mean10.112644
Median Absolute Deviation (MAD)1.7
Skewness-0.063810816
Sum879.8
Variance4.7985592
MonotonicityNot monotonic
2023-12-12T21:06:37.722030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 4
 
4.6%
12.0 4
 
4.6%
10.3 4
 
4.6%
13.0 3
 
3.4%
6.6 3
 
3.4%
10.6 3
 
3.4%
10.5 3
 
3.4%
9.6 3
 
3.4%
8.3 3
 
3.4%
8.5 3
 
3.4%
Other values (43) 54
62.1%
ValueCountFrequency (%)
5.1 1
 
1.1%
6.1 1
 
1.1%
6.2 1
 
1.1%
6.3 1
 
1.1%
6.4 2
2.3%
6.6 3
3.4%
7.2 2
2.3%
7.7 1
 
1.1%
8.0 1
 
1.1%
8.1 2
2.3%
ValueCountFrequency (%)
14.3 1
 
1.1%
14.2 1
 
1.1%
13.9 1
 
1.1%
13.7 1
 
1.1%
13.5 2
2.3%
13.3 1
 
1.1%
13.2 1
 
1.1%
13.1 1
 
1.1%
13.0 3
3.4%
12.9 1
 
1.1%

2013-04
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.044828
Minimum5.1
Maximum14.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:37.912808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.43
Q18.4
median10
Q311.95
95-th percentile13.1
Maximum14.5
Range9.4
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.2074798
Coefficient of variation (CV)0.21976284
Kurtosis-0.78164514
Mean10.044828
Median Absolute Deviation (MAD)1.7
Skewness-0.074886842
Sum873.9
Variance4.8729671
MonotonicityNot monotonic
2023-12-12T21:06:38.094397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0 6
 
6.9%
8.3 4
 
4.6%
10.4 4
 
4.6%
6.6 4
 
4.6%
9.7 4
 
4.6%
10.8 3
 
3.4%
9.9 3
 
3.4%
12.0 3
 
3.4%
11.6 3
 
3.4%
6.4 3
 
3.4%
Other values (40) 50
57.5%
ValueCountFrequency (%)
5.1 1
 
1.1%
6.1 1
 
1.1%
6.4 3
3.4%
6.5 1
 
1.1%
6.6 4
4.6%
7.1 1
 
1.1%
7.2 1
 
1.1%
7.6 1
 
1.1%
7.7 1
 
1.1%
7.9 2
2.3%
ValueCountFrequency (%)
14.5 1
 
1.1%
14.0 1
 
1.1%
13.8 1
 
1.1%
13.7 1
 
1.1%
13.1 2
 
2.3%
13.0 6
6.9%
12.9 1
 
1.1%
12.8 2
 
2.3%
12.4 1
 
1.1%
12.3 1
 
1.1%

2013-05
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.086207
Minimum5.1
Maximum14.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:38.270388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile6.43
Q18.45
median10.1
Q311.95
95-th percentile13.1
Maximum14.5
Range9.4
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.1833499
Coefficient of variation (CV)0.21646888
Kurtosis-0.74024066
Mean10.086207
Median Absolute Deviation (MAD)1.7
Skewness-0.10643108
Sum877.5
Variance4.7670168
MonotonicityNot monotonic
2023-12-12T21:06:38.463788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.0 4
 
4.6%
10.8 3
 
3.4%
10.7 3
 
3.4%
6.4 3
 
3.4%
8.3 3
 
3.4%
8.1 3
 
3.4%
10.0 3
 
3.4%
11.0 3
 
3.4%
8.8 3
 
3.4%
12.0 3
 
3.4%
Other values (41) 56
64.4%
ValueCountFrequency (%)
5.1 1
 
1.1%
6.0 1
 
1.1%
6.4 3
3.4%
6.5 1
 
1.1%
6.6 2
2.3%
6.7 1
 
1.1%
6.8 1
 
1.1%
7.3 1
 
1.1%
7.5 1
 
1.1%
7.8 1
 
1.1%
ValueCountFrequency (%)
14.5 1
 
1.1%
14.2 1
 
1.1%
13.8 1
 
1.1%
13.3 1
 
1.1%
13.1 2
2.3%
13.0 4
4.6%
12.9 2
2.3%
12.8 1
 
1.1%
12.7 3
3.4%
12.6 1
 
1.1%

2013-06
Real number (ℝ)

MISSING 

Distinct52
Distinct (%)60.5%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean10.097674
Minimum5.8
Maximum14.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:38.657122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.45
Q18.45
median10
Q311.95
95-th percentile13.3
Maximum14.1
Range8.3
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.1808243
Coefficient of variation (CV)0.21597292
Kurtosis-0.87687373
Mean10.097674
Median Absolute Deviation (MAD)1.7
Skewness0.0045620048
Sum868.4
Variance4.7559945
MonotonicityNot monotonic
2023-12-12T21:06:38.863730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3 4
 
4.6%
14.1 3
 
3.4%
9.6 3
 
3.4%
10.0 3
 
3.4%
12.0 3
 
3.4%
13.1 3
 
3.4%
9.9 2
 
2.3%
10.9 2
 
2.3%
8.7 2
 
2.3%
10.5 2
 
2.3%
Other values (42) 59
67.8%
ValueCountFrequency (%)
5.8 1
1.1%
6.2 2
2.3%
6.3 1
1.1%
6.4 1
1.1%
6.6 1
1.1%
6.7 1
1.1%
6.8 1
1.1%
6.9 1
1.1%
7.2 1
1.1%
7.4 1
1.1%
ValueCountFrequency (%)
14.1 3
3.4%
13.8 1
 
1.1%
13.3 2
2.3%
13.2 2
2.3%
13.1 3
3.4%
12.8 1
 
1.1%
12.7 1
 
1.1%
12.6 2
2.3%
12.5 2
2.3%
12.4 1
 
1.1%

2013-07
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9793103
Minimum3.3
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:39.049734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile6.3
Q18.35
median9.9
Q312
95-th percentile13.58
Maximum15
Range11.7
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.328346
Coefficient of variation (CV)0.23331732
Kurtosis-0.35147328
Mean9.9793103
Median Absolute Deviation (MAD)1.7
Skewness-0.14151712
Sum868.2
Variance5.4211949
MonotonicityNot monotonic
2023-12-12T21:06:39.248003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 4
 
4.6%
8.7 4
 
4.6%
11.1 3
 
3.4%
12.0 3
 
3.4%
10.3 3
 
3.4%
10.4 3
 
3.4%
8.2 3
 
3.4%
8.1 2
 
2.3%
13.3 2
 
2.3%
12.5 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
3.3 1
1.1%
5.8 1
1.1%
6.2 2
2.3%
6.3 2
2.3%
6.4 1
1.1%
6.5 1
1.1%
6.6 1
1.1%
6.8 1
1.1%
7.2 1
1.1%
7.5 1
1.1%
ValueCountFrequency (%)
15.0 1
1.1%
14.3 1
1.1%
13.9 1
1.1%
13.8 1
1.1%
13.7 1
1.1%
13.3 2
2.3%
13.0 2
2.3%
12.9 1
1.1%
12.8 1
1.1%
12.7 1
1.1%

2013-08
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9482759
Minimum3.7
Maximum14.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:39.475885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile6.23
Q18.4
median9.9
Q311.9
95-th percentile13.44
Maximum14.3
Range10.6
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.299993
Coefficient of variation (CV)0.23119514
Kurtosis-0.49644221
Mean9.9482759
Median Absolute Deviation (MAD)1.6
Skewness-0.13488356
Sum865.5
Variance5.2899679
MonotonicityNot monotonic
2023-12-12T21:06:39.676282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.6 5
 
5.7%
8.1 4
 
4.6%
9.5 3
 
3.4%
6.2 3
 
3.4%
8.4 3
 
3.4%
12.0 3
 
3.4%
11.5 3
 
3.4%
10.8 3
 
3.4%
9.8 2
 
2.3%
9.7 2
 
2.3%
Other values (44) 56
64.4%
ValueCountFrequency (%)
3.7 1
 
1.1%
5.8 1
 
1.1%
6.2 3
3.4%
6.3 2
2.3%
6.4 1
 
1.1%
6.7 1
 
1.1%
6.8 1
 
1.1%
6.9 1
 
1.1%
7.2 1
 
1.1%
7.4 1
 
1.1%
ValueCountFrequency (%)
14.3 2
 
2.3%
14.2 1
 
1.1%
13.9 1
 
1.1%
13.5 1
 
1.1%
13.3 2
 
2.3%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.6 5
5.7%
12.5 1
 
1.1%
12.4 2
 
2.3%

2013-09
Real number (ℝ)

Distinct59
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8218391
Minimum5.6
Maximum14.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:39.878281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.13
Q18.3
median9.7
Q311.65
95-th percentile13.07
Maximum14.1
Range8.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.1790987
Coefficient of variation (CV)0.22186259
Kurtosis-0.90065405
Mean9.8218391
Median Absolute Deviation (MAD)1.7
Skewness-0.04857165
Sum854.5
Variance4.748471
MonotonicityNot monotonic
2023-12-12T21:06:40.070803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.3 5
 
5.7%
8.4 4
 
4.6%
10.0 3
 
3.4%
12.0 3
 
3.4%
9.7 3
 
3.4%
11.4 3
 
3.4%
8.0 3
 
3.4%
12.5 3
 
3.4%
7.1 2
 
2.3%
9.4 2
 
2.3%
Other values (49) 56
64.4%
ValueCountFrequency (%)
5.6 1
1.1%
5.8 1
1.1%
5.9 1
1.1%
6.0 1
1.1%
6.1 1
1.1%
6.2 2
2.3%
6.4 1
1.1%
6.7 1
1.1%
7.1 2
2.3%
7.3 1
1.1%
ValueCountFrequency (%)
14.1 1
1.1%
13.8 1
1.1%
13.4 1
1.1%
13.2 1
1.1%
13.1 1
1.1%
13.0 1
1.1%
12.9 1
1.1%
12.8 1
1.1%
12.7 2
2.3%
12.6 1
1.1%

2013-10
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8632184
Minimum5.6
Maximum14.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:40.247328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.03
Q18.2
median9.8
Q311.4
95-th percentile13.34
Maximum14.2
Range8.6
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.2058124
Coefficient of variation (CV)0.22364022
Kurtosis-0.7533308
Mean9.8632184
Median Absolute Deviation (MAD)1.6
Skewness-0.01349402
Sum858.1
Variance4.8656081
MonotonicityNot monotonic
2023-12-12T21:06:40.410764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2 4
 
4.6%
12.0 4
 
4.6%
11.3 4
 
4.6%
8.1 3
 
3.4%
8.2 3
 
3.4%
8.0 3
 
3.4%
10.6 2
 
2.3%
11.2 2
 
2.3%
10.0 2
 
2.3%
13.2 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
5.6 2
2.3%
5.9 1
1.1%
6.0 2
2.3%
6.1 2
2.3%
6.4 1
1.1%
7.0 2
2.3%
7.1 1
1.1%
7.4 1
1.1%
7.6 1
1.1%
7.9 2
2.3%
ValueCountFrequency (%)
14.2 1
1.1%
14.1 1
1.1%
13.9 1
1.1%
13.6 1
1.1%
13.4 1
1.1%
13.2 2
2.3%
13.1 1
1.1%
12.9 1
1.1%
12.7 2
2.3%
12.6 1
1.1%

2013-11
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.862069
Minimum5.6
Maximum19.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:40.591078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile5.9
Q18.1
median9.8
Q311.6
95-th percentile13.6
Maximum19.1
Range13.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.4423226
Coefficient of variation (CV)0.2476481
Kurtosis1.0677219
Mean9.862069
Median Absolute Deviation (MAD)1.7
Skewness0.51837759
Sum858
Variance5.9649399
MonotonicityNot monotonic
2023-12-12T21:06:40.824216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.2 5
 
5.7%
8.0 5
 
5.7%
5.9 3
 
3.4%
9.8 3
 
3.4%
12.0 3
 
3.4%
11.8 3
 
3.4%
9.1 3
 
3.4%
9.0 3
 
3.4%
10.7 2
 
2.3%
13.6 2
 
2.3%
Other values (43) 55
63.2%
ValueCountFrequency (%)
5.6 1
 
1.1%
5.7 1
 
1.1%
5.8 1
 
1.1%
5.9 3
3.4%
6.0 2
2.3%
6.7 1
 
1.1%
6.8 2
2.3%
6.9 1
 
1.1%
7.4 2
2.3%
7.7 1
 
1.1%
ValueCountFrequency (%)
19.1 1
1.1%
14.1 1
1.1%
14.0 1
1.1%
13.7 1
1.1%
13.6 2
2.3%
13.1 2
2.3%
12.9 1
1.1%
12.7 2
2.3%
12.5 1
1.1%
12.4 2
2.3%

2013-12
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8252874
Minimum5.7
Maximum19.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:41.015203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile5.9
Q18.1
median9.6
Q311.4
95-th percentile13.67
Maximum19.1
Range13.4
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.4680384
Coefficient of variation (CV)0.25119249
Kurtosis1.0868496
Mean9.8252874
Median Absolute Deviation (MAD)1.6
Skewness0.54662104
Sum854.8
Variance6.0912136
MonotonicityNot monotonic
2023-12-12T21:06:41.202735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7 5
 
5.7%
11.2 3
 
3.4%
9.5 3
 
3.4%
5.9 3
 
3.4%
7.9 3
 
3.4%
8.1 3
 
3.4%
8.0 3
 
3.4%
11.8 2
 
2.3%
9.2 2
 
2.3%
11.0 2
 
2.3%
Other values (44) 58
66.7%
ValueCountFrequency (%)
5.7 2
2.3%
5.8 2
2.3%
5.9 3
3.4%
6.0 2
2.3%
6.6 1
 
1.1%
6.7 1
 
1.1%
6.9 1
 
1.1%
7.4 2
2.3%
7.7 1
 
1.1%
7.9 3
3.4%
ValueCountFrequency (%)
19.1 1
1.1%
14.3 2
2.3%
14.1 1
1.1%
13.7 1
1.1%
13.6 1
1.1%
13.5 1
1.1%
13.0 1
1.1%
12.8 1
1.1%
12.7 1
1.1%
12.6 1
1.1%

2014-01
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.8172414
Minimum5.2
Maximum19.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:41.403312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.9
Q18.1
median9.7
Q311.55
95-th percentile13.6
Maximum19.1
Range13.9
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.4645961
Coefficient of variation (CV)0.25104773
Kurtosis1.2135081
Mean9.8172414
Median Absolute Deviation (MAD)1.7
Skewness0.61273207
Sum854.1
Variance6.0742342
MonotonicityNot monotonic
2023-12-12T21:06:41.630685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 5
 
5.7%
9.3 4
 
4.6%
8.3 4
 
4.6%
7.9 3
 
3.4%
11.8 3
 
3.4%
5.9 3
 
3.4%
7.5 3
 
3.4%
9.8 2
 
2.3%
9.7 2
 
2.3%
11.0 2
 
2.3%
Other values (42) 56
64.4%
ValueCountFrequency (%)
5.2 1
 
1.1%
5.6 1
 
1.1%
5.8 1
 
1.1%
5.9 3
3.4%
6.0 1
 
1.1%
6.1 1
 
1.1%
6.6 1
 
1.1%
6.9 2
2.3%
7.5 3
3.4%
7.6 1
 
1.1%
ValueCountFrequency (%)
19.1 1
 
1.1%
14.8 1
 
1.1%
14.7 1
 
1.1%
14.4 1
 
1.1%
13.6 2
 
2.3%
13.4 1
 
1.1%
12.7 2
 
2.3%
12.6 2
 
2.3%
12.4 1
 
1.1%
12.0 5
5.7%

2014-02
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5965517
Minimum3.1
Maximum15.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:41.855785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.1
5-th percentile5.8
Q18.05
median9.5
Q311.3
95-th percentile13.21
Maximum15.1
Range12
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.3647335
Coefficient of variation (CV)0.24641492
Kurtosis-0.1822864
Mean9.5965517
Median Absolute Deviation (MAD)1.6
Skewness-0.023994772
Sum834.9
Variance5.5919647
MonotonicityNot monotonic
2023-12-12T21:06:42.051946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 5
 
5.7%
8.2 4
 
4.6%
10.2 4
 
4.6%
10.0 3
 
3.4%
10.5 3
 
3.4%
9.5 3
 
3.4%
9.6 3
 
3.4%
5.8 3
 
3.4%
9.3 3
 
3.4%
12.6 2
 
2.3%
Other values (44) 54
62.1%
ValueCountFrequency (%)
3.1 1
 
1.1%
5.3 1
 
1.1%
5.5 1
 
1.1%
5.8 3
3.4%
5.9 2
2.3%
6.3 1
 
1.1%
6.5 1
 
1.1%
6.8 1
 
1.1%
7.1 1
 
1.1%
7.3 1
 
1.1%
ValueCountFrequency (%)
15.1 1
1.1%
14.9 1
1.1%
13.9 1
1.1%
13.7 1
1.1%
13.3 1
1.1%
13.0 1
1.1%
12.8 2
2.3%
12.6 2
2.3%
12.5 1
1.1%
12.2 1
1.1%

2014-03
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6827586
Minimum5.4
Maximum14.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:42.239625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.4
5-th percentile5.83
Q18.1
median9.6
Q311.4
95-th percentile13.07
Maximum14.5
Range9.1
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.2345182
Coefficient of variation (CV)0.23077289
Kurtosis-0.73790424
Mean9.6827586
Median Absolute Deviation (MAD)1.6
Skewness-0.013060908
Sum842.4
Variance4.9930714
MonotonicityNot monotonic
2023-12-12T21:06:42.741729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.4 4
 
4.6%
9.6 3
 
3.4%
9.5 3
 
3.4%
12.0 3
 
3.4%
12.3 3
 
3.4%
8.1 3
 
3.4%
8.3 3
 
3.4%
10.0 3
 
3.4%
5.8 3
 
3.4%
8.8 2
 
2.3%
Other values (42) 57
65.5%
ValueCountFrequency (%)
5.4 1
 
1.1%
5.7 1
 
1.1%
5.8 3
3.4%
5.9 2
2.3%
6.1 1
 
1.1%
6.4 2
2.3%
6.8 1
 
1.1%
7.1 1
 
1.1%
7.4 2
2.3%
7.5 1
 
1.1%
ValueCountFrequency (%)
14.5 1
 
1.1%
14.3 1
 
1.1%
13.5 1
 
1.1%
13.3 1
 
1.1%
13.1 1
 
1.1%
13.0 2
2.3%
12.6 2
2.3%
12.4 1
 
1.1%
12.3 3
3.4%
12.2 2
2.3%

2014-04
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6126437
Minimum5.2
Maximum14.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:42.877664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.9
Q18
median9.6
Q311.2
95-th percentile13.04
Maximum14.2
Range9
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.2272
Coefficient of variation (CV)0.23169484
Kurtosis-0.78928216
Mean9.6126437
Median Absolute Deviation (MAD)1.6
Skewness0.0051058176
Sum836.3
Variance4.9604197
MonotonicityNot monotonic
2023-12-12T21:06:43.022910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 4
 
4.6%
12.0 4
 
4.6%
10.7 3
 
3.4%
11.1 3
 
3.4%
9.6 3
 
3.4%
8.2 3
 
3.4%
5.9 3
 
3.4%
8.5 3
 
3.4%
10.5 2
 
2.3%
12.9 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
5.2 1
 
1.1%
5.7 1
 
1.1%
5.8 2
2.3%
5.9 3
3.4%
6.2 1
 
1.1%
6.4 1
 
1.1%
6.5 1
 
1.1%
6.8 1
 
1.1%
7.0 1
 
1.1%
7.1 1
 
1.1%
ValueCountFrequency (%)
14.2 1
1.1%
14.1 1
1.1%
13.5 1
1.1%
13.4 1
1.1%
13.1 1
1.1%
12.9 2
2.3%
12.7 1
1.1%
12.6 1
1.1%
12.5 2
2.3%
12.4 1
1.1%

2014-05
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.554023
Minimum5.3
Maximum14.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:43.177990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.83
Q17.95
median9.5
Q311.1
95-th percentile12.87
Maximum14.1
Range8.8
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.1695463
Coefficient of variation (CV)0.22708197
Kurtosis-0.79035069
Mean9.554023
Median Absolute Deviation (MAD)1.6
Skewness-0.0044096121
Sum831.2
Variance4.7069313
MonotonicityNot monotonic
2023-12-12T21:06:43.334225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 5
 
5.7%
10.0 4
 
4.6%
8.4 4
 
4.6%
12.0 4
 
4.6%
5.8 3
 
3.4%
11.0 3
 
3.4%
10.3 3
 
3.4%
12.5 3
 
3.4%
9.3 3
 
3.4%
10.7 2
 
2.3%
Other values (42) 53
60.9%
ValueCountFrequency (%)
5.3 1
 
1.1%
5.7 1
 
1.1%
5.8 3
3.4%
5.9 1
 
1.1%
6.0 1
 
1.1%
6.1 1
 
1.1%
6.4 2
2.3%
6.8 1
 
1.1%
7.2 2
2.3%
7.4 2
2.3%
ValueCountFrequency (%)
14.1 1
 
1.1%
13.5 1
 
1.1%
13.4 1
 
1.1%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.8 1
 
1.1%
12.6 1
 
1.1%
12.5 3
3.4%
12.4 2
2.3%
12.2 1
 
1.1%

2014-06
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4954023
Minimum5.2
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:43.476663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.76
Q17.95
median9.5
Q311
95-th percentile12.9
Maximum13.7
Range8.5
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation2.1843475
Coefficient of variation (CV)0.23004265
Kurtosis-0.81597961
Mean9.4954023
Median Absolute Deviation (MAD)1.5
Skewness-0.06784637
Sum826.1
Variance4.771374
MonotonicityNot monotonic
2023-12-12T21:06:43.618270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5 4
 
4.6%
10.0 4
 
4.6%
11.0 4
 
4.6%
12.0 4
 
4.6%
9.2 3
 
3.4%
7.4 3
 
3.4%
9.3 3
 
3.4%
12.9 3
 
3.4%
7.7 3
 
3.4%
12.4 3
 
3.4%
Other values (43) 53
60.9%
ValueCountFrequency (%)
5.2 1
1.1%
5.4 1
1.1%
5.5 1
1.1%
5.7 2
2.3%
5.9 2
2.3%
6.0 1
1.1%
6.4 1
1.1%
6.5 1
1.1%
6.7 2
2.3%
7.0 1
1.1%
ValueCountFrequency (%)
13.7 1
 
1.1%
13.4 1
 
1.1%
13.2 1
 
1.1%
12.9 3
3.4%
12.7 1
 
1.1%
12.6 1
 
1.1%
12.4 3
3.4%
12.3 1
 
1.1%
12.1 1
 
1.1%
12.0 4
4.6%

2014-07
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.508046
Minimum5.1
Maximum13.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:43.788918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.96
Q18
median9.3
Q310.95
95-th percentile12.9
Maximum13.8
Range8.7
Interquartile range (IQR)2.95

Descriptive statistics

Standard deviation2.1435256
Coefficient of variation (CV)0.22544333
Kurtosis-0.78018819
Mean9.508046
Median Absolute Deviation (MAD)1.6
Skewness-0.018550384
Sum827.2
Variance4.594702
MonotonicityNot monotonic
2023-12-12T21:06:43.951455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.9 4
 
4.6%
10.9 4
 
4.6%
12.0 4
 
4.6%
9.3 4
 
4.6%
9.2 3
 
3.4%
10.0 3
 
3.4%
10.1 3
 
3.4%
8.3 3
 
3.4%
7.7 2
 
2.3%
12.7 2
 
2.3%
Other values (42) 55
63.2%
ValueCountFrequency (%)
5.1 1
1.1%
5.5 1
1.1%
5.8 1
1.1%
5.9 2
2.3%
6.1 2
2.3%
6.2 1
1.1%
6.3 1
1.1%
6.5 1
1.1%
6.7 2
2.3%
7.2 1
1.1%
ValueCountFrequency (%)
13.8 1
 
1.1%
13.5 1
 
1.1%
12.9 4
4.6%
12.8 1
 
1.1%
12.7 2
2.3%
12.4 1
 
1.1%
12.3 2
2.3%
12.0 4
4.6%
11.7 2
2.3%
11.6 1
 
1.1%

2014-08
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3942529
Minimum4.8
Maximum14.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:44.106965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile5.86
Q17.95
median9.3
Q310.85
95-th percentile12.54
Maximum14.1
Range9.3
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation2.1284538
Coefficient of variation (CV)0.22656978
Kurtosis-0.59208067
Mean9.3942529
Median Absolute Deviation (MAD)1.5
Skewness-0.058565512
Sum817.3
Variance4.5303154
MonotonicityNot monotonic
2023-12-12T21:06:44.254064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 4
 
4.6%
9.1 4
 
4.6%
12.4 4
 
4.6%
8.9 3
 
3.4%
10.5 3
 
3.4%
8.4 3
 
3.4%
10.8 3
 
3.4%
12.0 3
 
3.4%
11.8 3
 
3.4%
7.7 3
 
3.4%
Other values (44) 54
62.1%
ValueCountFrequency (%)
4.8 1
1.1%
5.0 1
1.1%
5.4 1
1.1%
5.7 1
1.1%
5.8 1
1.1%
6.0 2
2.3%
6.1 2
2.3%
6.6 1
1.1%
6.7 1
1.1%
6.9 1
1.1%
ValueCountFrequency (%)
14.1 1
 
1.1%
13.3 1
 
1.1%
13.1 1
 
1.1%
13.0 1
 
1.1%
12.6 1
 
1.1%
12.4 4
4.6%
12.3 1
 
1.1%
12.0 3
3.4%
11.8 3
3.4%
11.5 1
 
1.1%

2014-09
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)66.3%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean9.3604651
Minimum4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:44.399818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.725
Q18
median9.35
Q310.875
95-th percentile12.675
Maximum14.7
Range10.7
Interquartile range (IQR)2.875

Descriptive statistics

Standard deviation2.1994266
Coefficient of variation (CV)0.2349698
Kurtosis-0.37670745
Mean9.3604651
Median Absolute Deviation (MAD)1.45
Skewness-0.076982949
Sum805
Variance4.8374774
MonotonicityNot monotonic
2023-12-12T21:06:44.594926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 4
 
4.6%
7.7 4
 
4.6%
8.3 3
 
3.4%
9.4 3
 
3.4%
8.1 3
 
3.4%
8.0 3
 
3.4%
6.0 3
 
3.4%
8.5 2
 
2.3%
12.2 2
 
2.3%
8.2 2
 
2.3%
Other values (47) 57
65.5%
ValueCountFrequency (%)
4.0 1
 
1.1%
4.8 1
 
1.1%
5.2 1
 
1.1%
5.6 1
 
1.1%
5.7 1
 
1.1%
5.8 1
 
1.1%
6.0 3
3.4%
6.6 1
 
1.1%
6.7 1
 
1.1%
6.9 1
 
1.1%
ValueCountFrequency (%)
14.7 1
 
1.1%
13.5 1
 
1.1%
13.1 1
 
1.1%
13.0 1
 
1.1%
12.7 1
 
1.1%
12.6 1
 
1.1%
12.2 2
2.3%
12.1 1
 
1.1%
12.0 4
4.6%
11.9 1
 
1.1%

2014-10
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)66.3%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean9.305814
Minimum4.2
Maximum14.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:44.746851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile5.7
Q17.9
median9.25
Q310.875
95-th percentile12.475
Maximum14.4
Range10.2
Interquartile range (IQR)2.975

Descriptive statistics

Standard deviation2.1784698
Coefficient of variation (CV)0.23409771
Kurtosis-0.3286063
Mean9.305814
Median Absolute Deviation (MAD)1.5
Skewness-0.017949781
Sum800.3
Variance4.7457305
MonotonicityNot monotonic
2023-12-12T21:06:44.931684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 4
 
4.6%
10.3 3
 
3.4%
6.0 3
 
3.4%
11.3 3
 
3.4%
7.7 3
 
3.4%
10.5 2
 
2.3%
11.9 2
 
2.3%
10.2 2
 
2.3%
8.5 2
 
2.3%
10.9 2
 
2.3%
Other values (47) 60
69.0%
ValueCountFrequency (%)
4.2 1
 
1.1%
4.8 1
 
1.1%
5.2 1
 
1.1%
5.4 1
 
1.1%
5.6 1
 
1.1%
6.0 3
3.4%
6.2 1
 
1.1%
6.5 1
 
1.1%
6.6 1
 
1.1%
6.9 1
 
1.1%
ValueCountFrequency (%)
14.4 1
1.1%
14.3 1
1.1%
13.0 1
1.1%
12.9 1
1.1%
12.5 1
1.1%
12.4 1
1.1%
12.3 1
1.1%
12.2 2
2.3%
12.0 2
2.3%
11.9 2
2.3%

2014-11
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)62.8%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean9.2476744
Minimum2.8
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:45.105922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8
5-th percentile5.675
Q17.8
median9.25
Q310.775
95-th percentile12.575
Maximum14
Range11.2
Interquartile range (IQR)2.975

Descriptive statistics

Standard deviation2.2275139
Coefficient of variation (CV)0.24087287
Kurtosis-0.20166505
Mean9.2476744
Median Absolute Deviation (MAD)1.5
Skewness-0.21863504
Sum795.3
Variance4.9618181
MonotonicityNot monotonic
2023-12-12T21:06:45.280452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.2 5
 
5.7%
11.9 4
 
4.6%
10.3 3
 
3.4%
7.6 3
 
3.4%
10.6 3
 
3.4%
9.3 3
 
3.4%
9.0 3
 
3.4%
12.0 3
 
3.4%
9.2 3
 
3.4%
5.9 3
 
3.4%
Other values (44) 53
60.9%
ValueCountFrequency (%)
2.8 1
 
1.1%
4.8 1
 
1.1%
5.1 1
 
1.1%
5.4 1
 
1.1%
5.6 1
 
1.1%
5.9 3
3.4%
6.1 1
 
1.1%
6.4 1
 
1.1%
6.7 1
 
1.1%
6.9 1
 
1.1%
ValueCountFrequency (%)
14.0 1
 
1.1%
13.5 1
 
1.1%
13.0 1
 
1.1%
12.7 1
 
1.1%
12.6 1
 
1.1%
12.5 1
 
1.1%
12.4 1
 
1.1%
12.3 1
 
1.1%
12.0 3
3.4%
11.9 4
4.6%

2014-12
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)59.3%
Missing1
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean9.3430233
Minimum4.9
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:45.483166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.675
Q17.8
median9.2
Q310.775
95-th percentile12.675
Maximum13.7
Range8.8
Interquartile range (IQR)2.975

Descriptive statistics

Standard deviation2.1385834
Coefficient of variation (CV)0.22889629
Kurtosis-0.73144637
Mean9.3430233
Median Absolute Deviation (MAD)1.5
Skewness-0.054851648
Sum803.5
Variance4.573539
MonotonicityNot monotonic
2023-12-12T21:06:45.734073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.7 4
 
4.6%
9.0 4
 
4.6%
9.1 3
 
3.4%
9.2 3
 
3.4%
5.9 3
 
3.4%
12.4 3
 
3.4%
11.3 3
 
3.4%
7.8 3
 
3.4%
10.3 2
 
2.3%
7.4 2
 
2.3%
Other values (41) 56
64.4%
ValueCountFrequency (%)
4.9 1
 
1.1%
5.1 1
 
1.1%
5.5 1
 
1.1%
5.6 2
2.3%
5.9 3
3.4%
6.4 1
 
1.1%
6.8 2
2.3%
6.9 1
 
1.1%
7.0 1
 
1.1%
7.1 1
 
1.1%
ValueCountFrequency (%)
13.7 1
 
1.1%
13.4 1
 
1.1%
12.9 1
 
1.1%
12.7 2
2.3%
12.6 1
 
1.1%
12.4 3
3.4%
12.3 1
 
1.1%
12.1 1
 
1.1%
12.0 1
 
1.1%
11.8 2
2.3%

2015-01
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3563218
Minimum4.9
Maximum13.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:45.923347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.59
Q17.7
median9.3
Q311.05
95-th percentile12.6
Maximum13.6
Range8.7
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.1870497
Coefficient of variation (CV)0.23375101
Kurtosis-0.8689508
Mean9.3563218
Median Absolute Deviation (MAD)1.7
Skewness-0.065889833
Sum814
Variance4.7831863
MonotonicityNot monotonic
2023-12-12T21:06:46.094063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4 3
 
3.4%
10.7 3
 
3.4%
8.1 3
 
3.4%
12.6 3
 
3.4%
11.8 3
 
3.4%
9.1 3
 
3.4%
12.0 3
 
3.4%
9.0 3
 
3.4%
7.6 2
 
2.3%
5.8 2
 
2.3%
Other values (45) 59
67.8%
ValueCountFrequency (%)
4.9 1
1.1%
5.2 1
1.1%
5.4 1
1.1%
5.5 2
2.3%
5.8 2
2.3%
5.9 1
1.1%
6.4 1
1.1%
6.7 1
1.1%
7.0 2
2.3%
7.1 2
2.3%
ValueCountFrequency (%)
13.6 1
 
1.1%
13.3 1
 
1.1%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.6 3
3.4%
12.3 1
 
1.1%
12.2 2
2.3%
12.0 3
3.4%
11.9 1
 
1.1%
11.8 3
3.4%

2015-02
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4011494
Minimum4.7
Maximum14.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:46.274293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile5.46
Q17.65
median9.4
Q311.2
95-th percentile12.74
Maximum14.8
Range10.1
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.2657456
Coefficient of variation (CV)0.2410073
Kurtosis-0.72991621
Mean9.4011494
Median Absolute Deviation (MAD)1.8
Skewness-0.037398004
Sum817.9
Variance5.1336033
MonotonicityNot monotonic
2023-12-12T21:06:46.488855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 7
 
8.0%
8.0 3
 
3.4%
9.4 3
 
3.4%
10.7 3
 
3.4%
9.1 3
 
3.4%
5.4 3
 
3.4%
9.3 2
 
2.3%
7.2 2
 
2.3%
7.6 2
 
2.3%
9.0 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
4.7 1
 
1.1%
5.1 1
 
1.1%
5.4 3
3.4%
5.6 1
 
1.1%
5.8 1
 
1.1%
5.9 1
 
1.1%
6.3 1
 
1.1%
6.8 1
 
1.1%
6.9 1
 
1.1%
7.0 2
2.3%
ValueCountFrequency (%)
14.8 1
 
1.1%
13.3 1
 
1.1%
13.1 2
 
2.3%
12.8 1
 
1.1%
12.6 1
 
1.1%
12.4 1
 
1.1%
12.3 1
 
1.1%
12.2 1
 
1.1%
12.1 1
 
1.1%
12.0 7
8.0%

2015-03
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3712644
Minimum4.7
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:46.663642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.7
5-th percentile5.63
Q17.75
median9.6
Q311.2
95-th percentile12.37
Maximum13.3
Range8.6
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.153899
Coefficient of variation (CV)0.22984081
Kurtosis-0.82992577
Mean9.3712644
Median Absolute Deviation (MAD)1.8
Skewness-0.22580219
Sum815.3
Variance4.6392809
MonotonicityNot monotonic
2023-12-12T21:06:46.853714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.6 5
 
5.7%
12.0 5
 
5.7%
7.4 4
 
4.6%
10.0 4
 
4.6%
7.9 4
 
4.6%
10.3 3
 
3.4%
11.6 3
 
3.4%
11.2 3
 
3.4%
9.6 3
 
3.4%
8.6 2
 
2.3%
Other values (45) 51
58.6%
ValueCountFrequency (%)
4.7 1
1.1%
5.0 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.6 1
1.1%
5.7 1
1.1%
5.8 1
1.1%
6.0 1
1.1%
6.2 1
1.1%
6.6 1
1.1%
ValueCountFrequency (%)
13.3 1
 
1.1%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.7 1
 
1.1%
12.4 1
 
1.1%
12.3 1
 
1.1%
12.2 1
 
1.1%
12.1 1
 
1.1%
12.0 5
5.7%
11.8 1
 
1.1%

2015-04
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3321839
Minimum4.6
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:47.047799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.6
5-th percentile5.56
Q17.65
median9.5
Q311.1
95-th percentile12.2
Maximum13.3
Range8.7
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.1755777
Coefficient of variation (CV)0.23312632
Kurtosis-0.83788073
Mean9.3321839
Median Absolute Deviation (MAD)1.7
Skewness-0.19897149
Sum811.9
Variance4.7331382
MonotonicityNot monotonic
2023-12-12T21:06:47.262287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 6
 
6.9%
12.2 4
 
4.6%
11.2 3
 
3.4%
9.6 3
 
3.4%
7.3 3
 
3.4%
9.4 3
 
3.4%
10.7 3
 
3.4%
7.0 3
 
3.4%
10.6 2
 
2.3%
9.3 2
 
2.3%
Other values (40) 55
63.2%
ValueCountFrequency (%)
4.6 1
 
1.1%
5.0 1
 
1.1%
5.4 2
2.3%
5.5 1
 
1.1%
5.7 2
2.3%
5.9 1
 
1.1%
6.2 1
 
1.1%
6.5 1
 
1.1%
6.8 1
 
1.1%
7.0 3
3.4%
ValueCountFrequency (%)
13.3 2
 
2.3%
13.2 1
 
1.1%
12.4 1
 
1.1%
12.2 4
4.6%
12.0 6
6.9%
11.8 1
 
1.1%
11.7 1
 
1.1%
11.6 2
 
2.3%
11.2 3
3.4%
11.1 2
 
2.3%

2015-05
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3275862
Minimum4.4
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:47.465351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.4
5-th percentile5.46
Q17.55
median9.5
Q310.9
95-th percentile12.57
Maximum13.7
Range9.3
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.2286032
Coefficient of variation (CV)0.23892603
Kurtosis-0.76901956
Mean9.3275862
Median Absolute Deviation (MAD)1.7
Skewness-0.16819355
Sum811.5
Variance4.966672
MonotonicityNot monotonic
2023-12-12T21:06:48.059198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3 5
 
5.7%
12.0 4
 
4.6%
8.9 4
 
4.6%
9.5 3
 
3.4%
7.3 3
 
3.4%
10.6 3
 
3.4%
5.4 3
 
3.4%
9.9 2
 
2.3%
7.1 2
 
2.3%
12.2 2
 
2.3%
Other values (40) 56
64.4%
ValueCountFrequency (%)
4.4 1
 
1.1%
5.0 1
 
1.1%
5.4 3
3.4%
5.6 1
 
1.1%
5.7 2
2.3%
6.1 2
2.3%
6.7 1
 
1.1%
6.9 2
2.3%
7.1 2
2.3%
7.2 1
 
1.1%
ValueCountFrequency (%)
13.7 1
 
1.1%
13.2 2
2.3%
13.0 1
 
1.1%
12.6 1
 
1.1%
12.5 1
 
1.1%
12.4 1
 
1.1%
12.2 2
2.3%
12.1 1
 
1.1%
12.0 4
4.6%
11.9 2
2.3%

2015-06
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2712644
Minimum4.3
Maximum13.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:48.250134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.3
5-th percentile5.6
Q17.65
median9.5
Q310.8
95-th percentile12.4
Maximum13.9
Range9.6
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.2097515
Coefficient of variation (CV)0.23834414
Kurtosis-0.59297325
Mean9.2712644
Median Absolute Deviation (MAD)1.6
Skewness-0.1552319
Sum806.6
Variance4.8830019
MonotonicityNot monotonic
2023-12-12T21:06:48.406594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 4
 
4.6%
10.1 4
 
4.6%
12.0 4
 
4.6%
7.6 3
 
3.4%
7.7 3
 
3.4%
7.3 3
 
3.4%
8.8 3
 
3.4%
12.1 3
 
3.4%
9.0 3
 
3.4%
10.8 3
 
3.4%
Other values (41) 54
62.1%
ValueCountFrequency (%)
4.3 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.3 1
1.1%
5.6 2
2.3%
5.7 2
2.3%
6.1 2
2.3%
6.7 1
1.1%
6.9 1
1.1%
7.0 1
1.1%
ValueCountFrequency (%)
13.9 1
 
1.1%
13.6 1
 
1.1%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.4 2
2.3%
12.1 3
3.4%
12.0 4
4.6%
11.9 2
2.3%
11.6 1
 
1.1%
11.4 2
2.3%

2015-07
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2218391
Minimum4.2
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:48.570323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile5.46
Q17.55
median9.5
Q310.85
95-th percentile12.5
Maximum13.7
Range9.5
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.2351019
Coefficient of variation (CV)0.24237051
Kurtosis-0.68925429
Mean9.2218391
Median Absolute Deviation (MAD)1.7
Skewness-0.14539934
Sum802.3
Variance4.9956803
MonotonicityNot monotonic
2023-12-12T21:06:48.733427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12.0 4
 
4.6%
10.7 3
 
3.4%
11.1 3
 
3.4%
8.7 3
 
3.4%
7.6 3
 
3.4%
9.5 3
 
3.4%
8.2 3
 
3.4%
9.6 3
 
3.4%
12.5 3
 
3.4%
6.0 2
 
2.3%
Other values (43) 57
65.5%
ValueCountFrequency (%)
4.2 1
1.1%
4.8 1
1.1%
5.1 1
1.1%
5.2 1
1.1%
5.4 1
1.1%
5.6 2
2.3%
5.7 1
1.1%
6.0 2
2.3%
6.6 1
1.1%
6.8 1
1.1%
ValueCountFrequency (%)
13.7 1
 
1.1%
13.6 1
 
1.1%
13.2 1
 
1.1%
12.5 3
3.4%
12.2 2
2.3%
12.1 1
 
1.1%
12.0 4
4.6%
11.8 1
 
1.1%
11.6 1
 
1.1%
11.5 1
 
1.1%

2015-08
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1367816
Minimum4.2
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:48.903222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.2
5-th percentile5.46
Q17.4
median9.1
Q310.75
95-th percentile12.67
Maximum13.7
Range9.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.2597651
Coefficient of variation (CV)0.24732616
Kurtosis-0.78277468
Mean9.1367816
Median Absolute Deviation (MAD)1.7
Skewness-0.054214287
Sum794.9
Variance5.1065384
MonotonicityNot monotonic
2023-12-12T21:06:49.056459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 5
 
5.7%
7.8 3
 
3.4%
10.2 3
 
3.4%
9.4 3
 
3.4%
8.6 3
 
3.4%
9.1 3
 
3.4%
5.6 3
 
3.4%
10.6 2
 
2.3%
5.2 2
 
2.3%
8.8 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
4.2 1
 
1.1%
4.8 1
 
1.1%
5.2 2
2.3%
5.4 1
 
1.1%
5.6 3
3.4%
6.0 2
2.3%
6.5 1
 
1.1%
6.6 1
 
1.1%
6.7 1
 
1.1%
6.9 2
2.3%
ValueCountFrequency (%)
13.7 1
1.1%
13.2 1
1.1%
13.1 1
1.1%
12.9 1
1.1%
12.7 1
1.1%
12.6 1
1.1%
12.4 1
1.1%
12.2 1
1.1%
12.1 2
2.3%
12.0 1
1.1%

2015-09
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0643678
Minimum4
Maximum13.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:49.238692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5.2
Q17.3
median9
Q310.85
95-th percentile12.6
Maximum13.6
Range9.6
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.3313823
Coefficient of variation (CV)0.25720297
Kurtosis-0.85764631
Mean9.0643678
Median Absolute Deviation (MAD)1.8
Skewness-0.029655831
Sum788.6
Variance5.4353435
MonotonicityNot monotonic
2023-12-12T21:06:49.453857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5 4
 
4.6%
8.0 3
 
3.4%
6.9 3
 
3.4%
12.6 3
 
3.4%
5.2 3
 
3.4%
7.2 3
 
3.4%
5.6 2
 
2.3%
11.6 2
 
2.3%
9.0 2
 
2.3%
9.9 2
 
2.3%
Other values (46) 60
69.0%
ValueCountFrequency (%)
4.0 1
 
1.1%
4.7 1
 
1.1%
5.0 1
 
1.1%
5.2 3
3.4%
5.6 2
2.3%
5.7 1
 
1.1%
6.0 2
2.3%
6.5 1
 
1.1%
6.6 1
 
1.1%
6.9 3
3.4%
ValueCountFrequency (%)
13.6 1
 
1.1%
13.2 1
 
1.1%
13.1 1
 
1.1%
12.8 1
 
1.1%
12.6 3
3.4%
12.3 1
 
1.1%
12.2 1
 
1.1%
12.0 2
2.3%
11.9 2
2.3%
11.8 2
2.3%

2015-10
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9356322
Minimum3.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:49.631514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile5.13
Q17.25
median9
Q310.7
95-th percentile12.3
Maximum13.4
Range9.5
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2783601
Coefficient of variation (CV)0.2549747
Kurtosis-0.77590845
Mean8.9356322
Median Absolute Deviation (MAD)1.7
Skewness-0.056055519
Sum777.4
Variance5.1909249
MonotonicityNot monotonic
2023-12-12T21:06:49.800592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.9 4
 
4.6%
10.7 4
 
4.6%
9.3 3
 
3.4%
7.3 3
 
3.4%
7.7 3
 
3.4%
11.5 3
 
3.4%
9.7 2
 
2.3%
9.0 2
 
2.3%
6.9 2
 
2.3%
5.6 2
 
2.3%
Other values (43) 59
67.8%
ValueCountFrequency (%)
3.9 1
1.1%
4.6 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.2 1
1.1%
5.5 1
1.1%
5.6 2
2.3%
5.9 2
2.3%
6.5 2
2.3%
ValueCountFrequency (%)
13.4 1
 
1.1%
13.3 1
 
1.1%
13.0 1
 
1.1%
12.8 1
 
1.1%
12.3 2
2.3%
12.0 1
 
1.1%
11.9 4
4.6%
11.8 1
 
1.1%
11.7 1
 
1.1%
11.5 3
3.4%

2015-11
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8965517
Minimum3.8
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:49.968688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5.16
Q17.25
median8.9
Q310.7
95-th percentile12.61
Maximum13.4
Range9.6
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2974429
Coefficient of variation (CV)0.2582397
Kurtosis-0.75900433
Mean8.8965517
Median Absolute Deviation (MAD)1.8
Skewness-0.013878846
Sum774
Variance5.2782438
MonotonicityNot monotonic
2023-12-12T21:06:50.146702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.4 5
 
5.7%
7.3 4
 
4.6%
9.0 3
 
3.4%
8.6 3
 
3.4%
11.6 3
 
3.4%
11.0 3
 
3.4%
11.8 3
 
3.4%
10.6 3
 
3.4%
5.3 2
 
2.3%
8.9 2
 
2.3%
Other values (42) 56
64.4%
ValueCountFrequency (%)
3.8 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.3 2
2.3%
5.5 1
1.1%
5.8 1
1.1%
6.3 1
1.1%
6.4 2
2.3%
ValueCountFrequency (%)
13.4 1
 
1.1%
13.1 2
2.3%
12.8 1
 
1.1%
12.7 1
 
1.1%
12.4 1
 
1.1%
12.2 1
 
1.1%
12.0 2
2.3%
11.8 3
3.4%
11.6 3
3.4%
11.5 1
 
1.1%

2015-12
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8034483
Minimum3.7
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:50.356071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.09
Q17.15
median8.8
Q310.65
95-th percentile12.17
Maximum13.2
Range9.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2519474
Coefficient of variation (CV)0.25580288
Kurtosis-0.78008593
Mean8.8034483
Median Absolute Deviation (MAD)1.8
Skewness-0.016735437
Sum765.9
Variance5.071267
MonotonicityNot monotonic
2023-12-12T21:06:50.556448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 4
 
4.6%
6.4 3
 
3.4%
11.1 3
 
3.4%
8.2 3
 
3.4%
10.6 3
 
3.4%
6.8 2
 
2.3%
7.0 2
 
2.3%
11.0 2
 
2.3%
7.6 2
 
2.3%
12.0 2
 
2.3%
Other values (48) 61
70.1%
ValueCountFrequency (%)
3.7 1
 
1.1%
4.5 1
 
1.1%
4.9 2
2.3%
5.0 1
 
1.1%
5.3 2
2.3%
5.6 1
 
1.1%
5.7 1
 
1.1%
6.3 1
 
1.1%
6.4 3
3.4%
6.5 1
 
1.1%
ValueCountFrequency (%)
13.2 1
1.1%
13.1 1
1.1%
13.0 1
1.1%
12.3 1
1.1%
12.2 1
1.1%
12.1 1
1.1%
12.0 2
2.3%
11.9 1
1.1%
11.8 2
2.3%
11.6 1
1.1%

2016-01
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8034483
Minimum3.6
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:50.742372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile5.06
Q17.2
median8.6
Q310.7
95-th percentile12.17
Maximum13.3
Range9.7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2687692
Coefficient of variation (CV)0.25771369
Kurtosis-0.76962719
Mean8.8034483
Median Absolute Deviation (MAD)1.7
Skewness-0.054175425
Sum765.9
Variance5.1473136
MonotonicityNot monotonic
2023-12-12T21:06:50.939310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 4
 
4.6%
9.1 3
 
3.4%
8.4 3
 
3.4%
7.5 3
 
3.4%
8.6 3
 
3.4%
11.5 3
 
3.4%
10.7 3
 
3.4%
4.9 2
 
2.3%
10.0 2
 
2.3%
9.6 2
 
2.3%
Other values (45) 59
67.8%
ValueCountFrequency (%)
3.6 1
1.1%
4.4 1
1.1%
4.9 2
2.3%
5.0 1
1.1%
5.2 1
1.1%
5.3 1
1.1%
5.6 2
2.3%
6.1 1
1.1%
6.2 2
2.3%
6.3 1
1.1%
ValueCountFrequency (%)
13.3 1
 
1.1%
13.2 1
 
1.1%
13.0 1
 
1.1%
12.2 2
2.3%
12.1 1
 
1.1%
11.9 2
2.3%
11.8 1
 
1.1%
11.6 2
2.3%
11.5 3
3.4%
11.4 1
 
1.1%

2016-02
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8505747
Minimum3.5
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:51.113035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5.06
Q17.2
median8.7
Q310.6
95-th percentile12.1
Maximum13.2
Range9.7
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.2722222
Coefficient of variation (CV)0.2567316
Kurtosis-0.72239922
Mean8.8505747
Median Absolute Deviation (MAD)1.7
Skewness-0.099513155
Sum770
Variance5.1629939
MonotonicityNot monotonic
2023-12-12T21:06:51.323704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.4 5
 
5.7%
7.2 5
 
5.7%
10.4 4
 
4.6%
8.7 3
 
3.4%
10.6 3
 
3.4%
7.0 2
 
2.3%
7.9 2
 
2.3%
7.7 2
 
2.3%
12.0 2
 
2.3%
11.4 2
 
2.3%
Other values (46) 57
65.5%
ValueCountFrequency (%)
3.5 1
1.1%
4.3 1
1.1%
4.8 1
1.1%
5.0 2
2.3%
5.2 1
1.1%
5.3 1
1.1%
5.5 1
1.1%
5.7 1
1.1%
6.1 1
1.1%
6.2 2
2.3%
ValueCountFrequency (%)
13.2 1
1.1%
13.1 1
1.1%
13.0 1
1.1%
12.5 1
1.1%
12.1 2
2.3%
12.0 2
2.3%
11.9 1
1.1%
11.8 1
1.1%
11.7 2
2.3%
11.6 1
1.1%

2016-03
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7965517
Minimum3.5
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:51.507751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile5
Q17.2
median8.7
Q310.65
95-th percentile12.07
Maximum13.2
Range9.7
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2863319
Coefficient of variation (CV)0.25991229
Kurtosis-0.77809698
Mean8.7965517
Median Absolute Deviation (MAD)1.7
Skewness-0.11502054
Sum765.3
Variance5.2273136
MonotonicityNot monotonic
2023-12-12T21:06:51.728966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4 4
 
4.6%
7.4 4
 
4.6%
9.6 3
 
3.4%
6.1 3
 
3.4%
5.0 3
 
3.4%
8.6 3
 
3.4%
8.3 2
 
2.3%
11.1 2
 
2.3%
11.4 2
 
2.3%
9.4 2
 
2.3%
Other values (47) 59
67.8%
ValueCountFrequency (%)
3.5 1
 
1.1%
4.3 1
 
1.1%
4.7 1
 
1.1%
5.0 3
3.4%
5.2 1
 
1.1%
5.4 1
 
1.1%
5.7 1
 
1.1%
5.9 1
 
1.1%
6.1 3
3.4%
6.2 1
 
1.1%
ValueCountFrequency (%)
13.2 1
1.1%
13.1 1
1.1%
12.9 1
1.1%
12.4 1
1.1%
12.1 1
1.1%
12.0 2
2.3%
11.8 1
1.1%
11.7 1
1.1%
11.6 2
2.3%
11.5 1
1.1%

2016-04
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8252874
Minimum3.6
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:51.936467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile5.06
Q17.15
median9
Q310.65
95-th percentile12.3
Maximum13
Range9.4
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.3145253
Coefficient of variation (CV)0.26226062
Kurtosis-0.84429984
Mean8.8252874
Median Absolute Deviation (MAD)1.8
Skewness-0.12401758
Sum767.8
Variance5.3570275
MonotonicityNot monotonic
2023-12-12T21:06:52.121455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.4 4
 
4.6%
8.2 4
 
4.6%
6.9 3
 
3.4%
11.3 3
 
3.4%
8.3 3
 
3.4%
9.5 3
 
3.4%
7.3 3
 
3.4%
6.1 2
 
2.3%
7.7 2
 
2.3%
12.3 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
3.6 1
1.1%
4.3 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
5.0 1
1.1%
5.2 2
2.3%
5.5 1
1.1%
5.6 1
1.1%
5.7 1
1.1%
5.8 1
1.1%
ValueCountFrequency (%)
13.0 2
2.3%
12.8 1
1.1%
12.6 1
1.1%
12.3 2
2.3%
12.1 1
1.1%
12.0 1
1.1%
11.8 1
1.1%
11.7 2
2.3%
11.5 1
1.1%
11.4 2
2.3%

2016-05
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7643678
Minimum3.7
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:52.322432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile5.06
Q17.1
median8.7
Q310.55
95-th percentile12.65
Maximum13.2
Range9.5
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.3182279
Coefficient of variation (CV)0.26450601
Kurtosis-0.79688033
Mean8.7643678
Median Absolute Deviation (MAD)1.7
Skewness-0.0034807426
Sum762.5
Variance5.3741807
MonotonicityNot monotonic
2023-12-12T21:06:52.529379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 6
 
6.9%
9.1 3
 
3.4%
9.7 3
 
3.4%
12.0 3
 
3.4%
11.4 2
 
2.3%
8.7 2
 
2.3%
8.5 2
 
2.3%
8.9 2
 
2.3%
5.7 2
 
2.3%
10.4 2
 
2.3%
Other values (44) 60
69.0%
ValueCountFrequency (%)
3.7 1
1.1%
4.3 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.2 2
2.3%
5.5 1
1.1%
5.6 1
1.1%
5.7 2
2.3%
6.1 1
1.1%
ValueCountFrequency (%)
13.2 1
 
1.1%
13.1 1
 
1.1%
12.9 1
 
1.1%
12.8 2
2.3%
12.3 1
 
1.1%
12.0 3
3.4%
11.7 2
2.3%
11.6 1
 
1.1%
11.4 2
2.3%
11.3 1
 
1.1%

2016-06
Real number (ℝ)

Distinct59
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8091954
Minimum3.8
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:52.709041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile5.16
Q17.1
median8.8
Q310.65
95-th percentile12.44
Maximum13.4
Range9.6
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.3108758
Coefficient of variation (CV)0.26232541
Kurtosis-0.80472786
Mean8.8091954
Median Absolute Deviation (MAD)1.7
Skewness0.0098882291
Sum766.4
Variance5.340147
MonotonicityNot monotonic
2023-12-12T21:06:53.241517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5 4
 
4.6%
9.0 4
 
4.6%
12.0 3
 
3.4%
11.3 3
 
3.4%
8.0 3
 
3.4%
7.2 3
 
3.4%
9.5 2
 
2.3%
9.1 2
 
2.3%
8.8 2
 
2.3%
10.8 2
 
2.3%
Other values (49) 59
67.8%
ValueCountFrequency (%)
3.8 1
1.1%
4.4 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.5 1
1.1%
5.6 1
1.1%
5.7 1
1.1%
ValueCountFrequency (%)
13.4 1
 
1.1%
13.3 1
 
1.1%
13.1 1
 
1.1%
12.6 1
 
1.1%
12.5 1
 
1.1%
12.3 1
 
1.1%
12.0 3
3.4%
11.8 2
2.3%
11.6 1
 
1.1%
11.5 1
 
1.1%

2016-07
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7977011
Minimum3.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:53.436670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile5.2
Q17.1
median8.8
Q310.45
95-th percentile12.2
Maximum13.4
Range9.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.2793806
Coefficient of variation (CV)0.25908821
Kurtosis-0.77678183
Mean8.7977011
Median Absolute Deviation (MAD)1.7
Skewness0.025206067
Sum765.4
Variance5.195576
MonotonicityNot monotonic
2023-12-12T21:06:53.602206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 4
 
4.6%
8.2 3
 
3.4%
8.8 3
 
3.4%
5.2 3
 
3.4%
6.8 3
 
3.4%
9.2 3
 
3.4%
12.0 3
 
3.4%
9.0 3
 
3.4%
10.3 2
 
2.3%
6.6 2
 
2.3%
Other values (47) 58
66.7%
ValueCountFrequency (%)
3.9 1
 
1.1%
4.5 1
 
1.1%
4.9 1
 
1.1%
5.1 1
 
1.1%
5.2 3
3.4%
5.4 1
 
1.1%
5.5 1
 
1.1%
5.9 1
 
1.1%
6.1 1
 
1.1%
6.2 1
 
1.1%
ValueCountFrequency (%)
13.4 1
 
1.1%
13.2 1
 
1.1%
13.1 1
 
1.1%
12.7 1
 
1.1%
12.2 2
2.3%
12.0 3
3.4%
11.8 1
 
1.1%
11.7 1
 
1.1%
11.6 1
 
1.1%
11.5 1
 
1.1%

2016-08
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.716092
Minimum4.1
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:53.751026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile5.03
Q16.95
median8.8
Q310.45
95-th percentile12.17
Maximum13.3
Range9.2
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2842165
Coefficient of variation (CV)0.26206888
Kurtosis-0.86632223
Mean8.716092
Median Absolute Deviation (MAD)1.8
Skewness0.050514423
Sum758.3
Variance5.217645
MonotonicityNot monotonic
2023-12-12T21:06:53.904866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.1 4
 
4.6%
6.8 4
 
4.6%
9.4 4
 
4.6%
11.4 3
 
3.4%
7.1 3
 
3.4%
8.8 3
 
3.4%
7.6 2
 
2.3%
8.3 2
 
2.3%
13.3 2
 
2.3%
6.0 2
 
2.3%
Other values (48) 58
66.7%
ValueCountFrequency (%)
4.1 1
1.1%
4.6 1
1.1%
4.9 2
2.3%
5.0 1
1.1%
5.1 1
1.1%
5.4 1
1.1%
5.5 1
1.1%
5.6 1
1.1%
5.8 1
1.1%
6.0 2
2.3%
ValueCountFrequency (%)
13.3 2
2.3%
13.0 1
1.1%
12.5 1
1.1%
12.2 1
1.1%
12.1 1
1.1%
12.0 1
1.1%
11.9 1
1.1%
11.8 1
1.1%
11.7 1
1.1%
11.5 1
1.1%

2016-09
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6597701
Minimum4.1
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:54.061645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.1
5-th percentile5
Q16.85
median8.7
Q310.45
95-th percentile12.17
Maximum13.4
Range9.3
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.2960765
Coefficient of variation (CV)0.2651429
Kurtosis-0.91759588
Mean8.6597701
Median Absolute Deviation (MAD)1.8
Skewness0.047742378
Sum753.4
Variance5.2719674
MonotonicityNot monotonic
2023-12-12T21:06:54.216404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.7 5
 
5.7%
7.3 4
 
4.6%
8.8 4
 
4.6%
10.1 2
 
2.3%
10.7 2
 
2.3%
8.3 2
 
2.3%
6.3 2
 
2.3%
5.8 2
 
2.3%
8.0 2
 
2.3%
10.2 2
 
2.3%
Other values (47) 60
69.0%
ValueCountFrequency (%)
4.1 1
1.1%
4.6 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.0 2
2.3%
5.2 1
1.1%
5.5 1
1.1%
5.6 1
1.1%
5.8 2
2.3%
5.9 1
1.1%
ValueCountFrequency (%)
13.4 1
1.1%
12.9 1
1.1%
12.8 1
1.1%
12.4 1
1.1%
12.2 1
1.1%
12.1 2
2.3%
12.0 1
1.1%
11.8 1
1.1%
11.7 1
1.1%
11.6 1
1.1%

2016-10
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5896552
Minimum3.9
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:54.369282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.93
Q16.95
median8.6
Q310.55
95-th percentile12.07
Maximum13.2
Range9.3
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.2915433
Coefficient of variation (CV)0.26677943
Kurtosis-0.92457078
Mean8.5896552
Median Absolute Deviation (MAD)1.8
Skewness0.036314197
Sum747.3
Variance5.2511708
MonotonicityNot monotonic
2023-12-12T21:06:54.496567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.5 4
 
4.6%
7.2 4
 
4.6%
8.6 4
 
4.6%
10.1 3
 
3.4%
11.1 3
 
3.4%
8.8 3
 
3.4%
5.9 3
 
3.4%
12.1 2
 
2.3%
6.0 2
 
2.3%
11.8 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
3.9 1
 
1.1%
4.4 1
 
1.1%
4.8 2
2.3%
4.9 1
 
1.1%
5.0 1
 
1.1%
5.1 1
 
1.1%
5.3 1
 
1.1%
5.4 1
 
1.1%
5.9 3
3.4%
6.0 2
2.3%
ValueCountFrequency (%)
13.2 1
 
1.1%
12.9 1
 
1.1%
12.6 1
 
1.1%
12.1 2
2.3%
12.0 2
2.3%
11.8 2
2.3%
11.7 1
 
1.1%
11.4 2
2.3%
11.3 2
2.3%
11.1 3
3.4%

2016-11
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5827586
Minimum3.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:54.639869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.93
Q16.8
median8.6
Q310.6
95-th percentile12
Maximum13.4
Range9.5
Interquartile range (IQR)3.8

Descriptive statistics

Standard deviation2.2964688
Coefficient of variation (CV)0.26756768
Kurtosis-0.90411771
Mean8.5827586
Median Absolute Deviation (MAD)1.8
Skewness0.025662799
Sum746.7
Variance5.273769
MonotonicityNot monotonic
2023-12-12T21:06:54.812333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 4
 
4.6%
11.1 4
 
4.6%
8.9 3
 
3.4%
12.0 3
 
3.4%
6.5 3
 
3.4%
7.5 3
 
3.4%
9.9 3
 
3.4%
7.2 3
 
3.4%
8.7 3
 
3.4%
6.8 3
 
3.4%
Other values (43) 55
63.2%
ValueCountFrequency (%)
3.9 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
4.9 2
2.3%
5.0 2
2.3%
5.3 1
1.1%
5.4 1
1.1%
5.7 2
2.3%
5.8 1
1.1%
5.9 2
2.3%
ValueCountFrequency (%)
13.4 1
 
1.1%
13.0 1
 
1.1%
12.3 2
2.3%
12.0 3
3.4%
11.8 1
 
1.1%
11.7 1
 
1.1%
11.6 2
2.3%
11.3 1
 
1.1%
11.2 1
 
1.1%
11.1 4
4.6%

2016-12
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5827586
Minimum3.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:54.964374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.83
Q16.9
median8.5
Q310.35
95-th percentile12
Maximum13.4
Range9.5
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2946453
Coefficient of variation (CV)0.26735522
Kurtosis-0.88487272
Mean8.5827586
Median Absolute Deviation (MAD)1.7
Skewness0.028252397
Sum746.7
Variance5.265397
MonotonicityNot monotonic
2023-12-12T21:06:55.097112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.1 4
 
4.6%
10.0 3
 
3.4%
8.5 3
 
3.4%
7.1 3
 
3.4%
7.9 3
 
3.4%
7.0 3
 
3.4%
7.8 2
 
2.3%
9.6 2
 
2.3%
6.3 2
 
2.3%
8.7 2
 
2.3%
Other values (47) 60
69.0%
ValueCountFrequency (%)
3.9 1
1.1%
4.4 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.2 2
2.3%
5.3 1
1.1%
5.7 1
1.1%
5.9 2
2.3%
ValueCountFrequency (%)
13.4 1
1.1%
12.9 1
1.1%
12.4 1
1.1%
12.1 1
1.1%
12.0 2
2.3%
11.9 1
1.1%
11.8 1
1.1%
11.7 2
2.3%
11.6 1
1.1%
11.4 2
2.3%

2017-01
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5448276
Minimum3.6
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:55.232118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.93
Q16.75
median8.5
Q310.65
95-th percentile11.97
Maximum13
Range9.4
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation2.297661
Coefficient of variation (CV)0.26889495
Kurtosis-0.94631446
Mean8.5448276
Median Absolute Deviation (MAD)1.9
Skewness0.014646848
Sum743.4
Variance5.2792462
MonotonicityNot monotonic
2023-12-12T21:06:55.349441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.0 3
 
3.4%
6.6 3
 
3.4%
8.2 3
 
3.4%
8.5 3
 
3.4%
6.4 3
 
3.4%
11.3 2
 
2.3%
12.6 2
 
2.3%
11.9 2
 
2.3%
11.4 2
 
2.3%
11.1 2
 
2.3%
Other values (48) 62
71.3%
ValueCountFrequency (%)
3.6 1
1.1%
4.3 1
1.1%
4.7 2
2.3%
4.9 1
1.1%
5.0 1
1.1%
5.2 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.6 1
1.1%
5.9 2
2.3%
ValueCountFrequency (%)
13.0 1
1.1%
12.6 2
2.3%
12.0 2
2.3%
11.9 2
2.3%
11.8 1
1.1%
11.6 1
1.1%
11.5 2
2.3%
11.4 2
2.3%
11.3 2
2.3%
11.1 2
2.3%

2017-02
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5034483
Minimum3.4
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:55.479577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.86
Q16.75
median8.6
Q310.5
95-th percentile12
Maximum13
Range9.6
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.2995676
Coefficient of variation (CV)0.27042766
Kurtosis-0.87590509
Mean8.5034483
Median Absolute Deviation (MAD)1.9
Skewness0.0053110736
Sum739.8
Variance5.2880112
MonotonicityNot monotonic
2023-12-12T21:06:55.598231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.3 4
 
4.6%
6.4 4
 
4.6%
7.5 3
 
3.4%
12.0 3
 
3.4%
10.5 3
 
3.4%
6.9 3
 
3.4%
8.0 3
 
3.4%
8.6 3
 
3.4%
10.1 2
 
2.3%
8.9 2
 
2.3%
Other values (48) 57
65.5%
ValueCountFrequency (%)
3.4 1
1.1%
4.2 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.4 2
2.3%
5.6 1
1.1%
5.8 2
2.3%
ValueCountFrequency (%)
13.0 1
 
1.1%
12.8 1
 
1.1%
12.7 1
 
1.1%
12.0 3
3.4%
11.8 1
 
1.1%
11.7 1
 
1.1%
11.6 2
2.3%
11.5 2
2.3%
11.3 1
 
1.1%
11.1 2
2.3%

2017-03
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4666667
Minimum3.4
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:55.725925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.93
Q16.7
median8.6
Q310.45
95-th percentile11.94
Maximum13
Range9.6
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.2452879
Coefficient of variation (CV)0.26519149
Kurtosis-0.80451841
Mean8.4666667
Median Absolute Deviation (MAD)1.9
Skewness-0.038378139
Sum736.6
Variance5.0413178
MonotonicityNot monotonic
2023-12-12T21:06:55.931967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.9 4
 
4.6%
8.7 4
 
4.6%
9.2 3
 
3.4%
10.6 3
 
3.4%
7.9 3
 
3.4%
6.6 3
 
3.4%
8.6 3
 
3.4%
6.3 2
 
2.3%
6.5 2
 
2.3%
10.5 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
3.4 1
1.1%
4.2 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.2 2
2.3%
5.6 1
1.1%
5.8 2
2.3%
ValueCountFrequency (%)
13.0 1
1.1%
12.8 1
1.1%
12.5 1
1.1%
12.0 2
2.3%
11.8 1
1.1%
11.6 1
1.1%
11.4 2
2.3%
11.3 1
1.1%
11.2 2
2.3%
11.1 2
2.3%

2017-04
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4666667
Minimum3.4
Maximum12.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:56.174069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.9
Q16.8
median8.4
Q310.3
95-th percentile12
Maximum12.9
Range9.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2422303
Coefficient of variation (CV)0.26483036
Kurtosis-0.76340354
Mean8.4666667
Median Absolute Deviation (MAD)1.8
Skewness-0.076711284
Sum736.6
Variance5.0275969
MonotonicityNot monotonic
2023-12-12T21:06:56.311595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.6 4
 
4.6%
8.3 4
 
4.6%
6.4 3
 
3.4%
9.2 3
 
3.4%
11.4 3
 
3.4%
10.6 3
 
3.4%
12.0 3
 
3.4%
4.9 3
 
3.4%
6.8 2
 
2.3%
6.7 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
3.4 1
 
1.1%
4.1 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.9 3
3.4%
5.1 2
2.3%
5.7 2
2.3%
5.9 1
 
1.1%
6.0 1
 
1.1%
6.3 1
 
1.1%
ValueCountFrequency (%)
12.9 1
 
1.1%
12.8 1
 
1.1%
12.3 1
 
1.1%
12.0 3
3.4%
11.6 1
 
1.1%
11.4 3
3.4%
11.3 1
 
1.1%
11.2 2
2.3%
11.0 1
 
1.1%
10.6 3
3.4%

2017-05
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.437931
Minimum3.9
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:56.510285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.8
Q16.75
median8.4
Q310.2
95-th percentile12.14
Maximum13
Range9.1
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2402368
Coefficient of variation (CV)0.26549598
Kurtosis-0.81810892
Mean8.437931
Median Absolute Deviation (MAD)1.8
Skewness0.028467734
Sum734.1
Variance5.0186608
MonotonicityNot monotonic
2023-12-12T21:06:56.723063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.1 4
 
4.6%
6.9 4
 
4.6%
7.8 4
 
4.6%
9.8 3
 
3.4%
6.4 3
 
3.4%
8.6 3
 
3.4%
6.5 3
 
3.4%
8.3 2
 
2.3%
10.9 2
 
2.3%
7.7 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
3.9 1
1.1%
4.3 1
1.1%
4.6 2
2.3%
4.8 2
2.3%
4.9 1
1.1%
5.1 1
1.1%
5.2 1
1.1%
5.6 1
1.1%
5.8 1
1.1%
5.9 2
2.3%
ValueCountFrequency (%)
13.0 1
1.1%
12.6 1
1.1%
12.3 1
1.1%
12.2 2
2.3%
12.0 1
1.1%
11.9 1
1.1%
11.7 1
1.1%
11.6 1
1.1%
11.4 1
1.1%
11.3 2
2.3%

2017-06
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3724138
Minimum3.8
Maximum12.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:56.902347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.93
Q16.7
median8.3
Q310.2
95-th percentile11.87
Maximum12.8
Range9
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.1824186
Coefficient of variation (CV)0.26066779
Kurtosis-0.83759518
Mean8.3724138
Median Absolute Deviation (MAD)1.7
Skewness0.035201467
Sum728.4
Variance4.7629511
MonotonicityNot monotonic
2023-12-12T21:06:57.060474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.0 4
 
4.6%
7.7 4
 
4.6%
11.3 4
 
4.6%
6.9 3
 
3.4%
7.0 3
 
3.4%
10.2 3
 
3.4%
6.6 3
 
3.4%
9.8 2
 
2.3%
10.8 2
 
2.3%
10.3 2
 
2.3%
Other values (46) 57
65.5%
ValueCountFrequency (%)
3.8 1
1.1%
4.3 1
1.1%
4.6 2
2.3%
4.9 1
1.1%
5.0 1
1.1%
5.2 2
2.3%
5.3 1
1.1%
5.6 1
1.1%
5.8 1
1.1%
5.9 2
2.3%
ValueCountFrequency (%)
12.8 1
 
1.1%
12.5 1
 
1.1%
12.3 1
 
1.1%
12.1 1
 
1.1%
11.9 1
 
1.1%
11.8 1
 
1.1%
11.4 1
 
1.1%
11.3 4
4.6%
11.0 2
2.3%
10.8 2
2.3%

2017-07
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3505747
Minimum3.9
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:57.231865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile5
Q16.7
median8.3
Q310.15
95-th percentile11.67
Maximum13.1
Range9.2
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.1895563
Coefficient of variation (CV)0.26220426
Kurtosis-0.79707925
Mean8.3505747
Median Absolute Deviation (MAD)1.8
Skewness0.078078917
Sum726.5
Variance4.7941566
MonotonicityNot monotonic
2023-12-12T21:06:57.390939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3 4
 
4.6%
6.5 3
 
3.4%
9.3 3
 
3.4%
6.2 3
 
3.4%
11.6 3
 
3.4%
8.4 3
 
3.4%
6.7 3
 
3.4%
11.0 2
 
2.3%
5.0 2
 
2.3%
7.6 2
 
2.3%
Other values (47) 59
67.8%
ValueCountFrequency (%)
3.9 1
1.1%
4.2 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
5.0 2
2.3%
5.1 1
1.1%
5.2 2
2.3%
5.6 1
1.1%
5.7 1
1.1%
5.9 1
1.1%
ValueCountFrequency (%)
13.1 1
 
1.1%
12.9 1
 
1.1%
12.1 1
 
1.1%
12.0 1
 
1.1%
11.7 1
 
1.1%
11.6 3
3.4%
11.3 1
 
1.1%
11.2 1
 
1.1%
11.1 1
 
1.1%
11.0 2
2.3%

2017-08
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3252874
Minimum4
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:57.558570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q16.65
median8.1
Q310.05
95-th percentile11.91
Maximum13.3
Range9.3
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1737984
Coefficient of variation (CV)0.26110792
Kurtosis-0.78825705
Mean8.3252874
Median Absolute Deviation (MAD)1.7
Skewness0.15393468
Sum724.3
Variance4.7253996
MonotonicityNot monotonic
2023-12-12T21:06:58.160706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 3
 
3.4%
7.0 3
 
3.4%
10.5 3
 
3.4%
9.9 3
 
3.4%
8.4 3
 
3.4%
6.5 3
 
3.4%
6.3 3
 
3.4%
5.0 3
 
3.4%
6.9 3
 
3.4%
8.7 2
 
2.3%
Other values (47) 58
66.7%
ValueCountFrequency (%)
4.0 1
 
1.1%
4.5 1
 
1.1%
4.8 1
 
1.1%
4.9 1
 
1.1%
5.0 3
3.4%
5.2 1
 
1.1%
5.3 1
 
1.1%
5.6 1
 
1.1%
5.8 1
 
1.1%
5.9 1
 
1.1%
ValueCountFrequency (%)
13.3 1
1.1%
12.9 1
1.1%
12.2 1
1.1%
12.0 2
2.3%
11.7 1
1.1%
11.5 1
1.1%
11.3 1
1.1%
11.2 2
2.3%
11.0 1
1.1%
10.7 2
2.3%

2017-09
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2287356
Minimum3.8
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:58.359236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.9
Q16.55
median8.1
Q39.95
95-th percentile11.77
Maximum13.4
Range9.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1902484
Coefficient of variation (CV)0.26617071
Kurtosis-0.74356499
Mean8.2287356
Median Absolute Deviation (MAD)1.8
Skewness0.12391886
Sum715.9
Variance4.7971879
MonotonicityNot monotonic
2023-12-12T21:06:58.562668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.6 5
 
5.7%
6.8 4
 
4.6%
10.0 4
 
4.6%
4.9 4
 
4.6%
8.3 3
 
3.4%
10.3 3
 
3.4%
6.3 3
 
3.4%
9.6 2
 
2.3%
7.5 2
 
2.3%
9.8 2
 
2.3%
Other values (47) 55
63.2%
ValueCountFrequency (%)
3.8 1
 
1.1%
4.3 1
 
1.1%
4.6 1
 
1.1%
4.9 4
4.6%
5.0 1
 
1.1%
5.2 1
 
1.1%
5.3 1
 
1.1%
5.6 1
 
1.1%
5.7 1
 
1.1%
5.8 1
 
1.1%
ValueCountFrequency (%)
13.4 1
1.1%
12.8 1
1.1%
12.0 1
1.1%
11.9 1
1.1%
11.8 1
1.1%
11.7 1
1.1%
11.5 1
1.1%
11.4 1
1.1%
11.2 1
1.1%
11.0 1
1.1%

2017-10
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2425287
Minimum3.9
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:58.726599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.83
Q16.5
median8.2
Q310
95-th percentile11.84
Maximum13.1
Range9.2
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.1965423
Coefficient of variation (CV)0.26648889
Kurtosis-0.79969647
Mean8.2425287
Median Absolute Deviation (MAD)1.7
Skewness0.14678693
Sum717.1
Variance4.8247982
MonotonicityNot monotonic
2023-12-12T21:06:58.922849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7 4
 
4.6%
8.3 4
 
4.6%
6.5 4
 
4.6%
10.0 4
 
4.6%
8.2 3
 
3.4%
10.2 3
 
3.4%
7.7 3
 
3.4%
6.2 3
 
3.4%
6.1 3
 
3.4%
12.0 2
 
2.3%
Other values (43) 54
62.1%
ValueCountFrequency (%)
3.9 1
1.1%
4.4 1
1.1%
4.7 1
1.1%
4.8 2
2.3%
4.9 1
1.1%
5.0 2
2.3%
5.2 1
1.1%
5.5 1
1.1%
5.6 1
1.1%
5.8 1
1.1%
ValueCountFrequency (%)
13.1 1
1.1%
12.9 1
1.1%
12.0 2
2.3%
11.9 1
1.1%
11.7 1
1.1%
11.6 2
2.3%
11.5 1
1.1%
11.2 1
1.1%
11.1 1
1.1%
10.6 2
2.3%

2017-11
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1793103
Minimum3.7
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:59.123854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.9
Q16.45
median7.8
Q310.1
95-th percentile11.87
Maximum13
Range9.3
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.2356071
Coefficient of variation (CV)0.27332464
Kurtosis-0.87350112
Mean8.1793103
Median Absolute Deviation (MAD)1.8
Skewness0.20732028
Sum711.6
Variance4.9979391
MonotonicityNot monotonic
2023-12-12T21:06:59.342616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.5 7
 
8.0%
8.0 3
 
3.4%
6.5 3
 
3.4%
4.9 3
 
3.4%
10.3 3
 
3.4%
6.1 3
 
3.4%
10.1 3
 
3.4%
11.4 3
 
3.4%
6.6 2
 
2.3%
8.5 2
 
2.3%
Other values (40) 55
63.2%
ValueCountFrequency (%)
3.7 1
 
1.1%
4.4 1
 
1.1%
4.7 1
 
1.1%
4.9 3
3.4%
5.0 2
2.3%
5.2 1
 
1.1%
5.5 1
 
1.1%
5.6 1
 
1.1%
5.7 1
 
1.1%
5.9 1
 
1.1%
ValueCountFrequency (%)
13.0 2
2.3%
12.1 2
2.3%
11.9 1
 
1.1%
11.8 1
 
1.1%
11.4 3
3.4%
11.2 2
2.3%
10.8 1
 
1.1%
10.5 2
2.3%
10.4 1
 
1.1%
10.3 3
3.4%

2017-12
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0758621
Minimum3.5
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:59.552085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.83
Q16.35
median7.8
Q39.85
95-th percentile11.67
Maximum13
Range9.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.1887644
Coefficient of variation (CV)0.27102548
Kurtosis-0.81512233
Mean8.0758621
Median Absolute Deviation (MAD)1.8
Skewness0.20376696
Sum702.6
Variance4.7906897
MonotonicityNot monotonic
2023-12-12T21:06:59.752596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.5 3
 
3.4%
6.6 3
 
3.4%
6.0 3
 
3.4%
6.7 3
 
3.4%
10.0 3
 
3.4%
7.8 3
 
3.4%
9.4 2
 
2.3%
4.8 2
 
2.3%
6.3 2
 
2.3%
7.6 2
 
2.3%
Other values (46) 61
70.1%
ValueCountFrequency (%)
3.5 1
1.1%
4.3 1
1.1%
4.6 1
1.1%
4.8 2
2.3%
4.9 2
2.3%
5.2 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.7 1
1.1%
5.8 1
1.1%
ValueCountFrequency (%)
13.0 1
1.1%
12.5 1
1.1%
12.0 2
2.3%
11.7 1
1.1%
11.6 1
1.1%
11.5 1
1.1%
11.4 1
1.1%
11.1 1
1.1%
11.0 1
1.1%
10.9 1
1.1%

2018-01
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0287356
Minimum3.3
Maximum12.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:06:59.972783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile4.63
Q16.25
median7.8
Q39.7
95-th percentile11.64
Maximum12.8
Range9.5
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.2136421
Coefficient of variation (CV)0.2757149
Kurtosis-0.79565071
Mean8.0287356
Median Absolute Deviation (MAD)1.7
Skewness0.16994268
Sum698.5
Variance4.9002112
MonotonicityNot monotonic
2023-12-12T21:07:00.165068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.6 4
 
4.6%
9.7 4
 
4.6%
7.4 4
 
4.6%
6.1 3
 
3.4%
7.8 3
 
3.4%
10.4 3
 
3.4%
7.9 3
 
3.4%
6.8 3
 
3.4%
9.8 2
 
2.3%
11.5 2
 
2.3%
Other values (46) 56
64.4%
ValueCountFrequency (%)
3.3 1
1.1%
4.2 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
5.1 1
1.1%
5.2 1
1.1%
5.5 1
1.1%
ValueCountFrequency (%)
12.8 1
1.1%
12.3 1
1.1%
12.2 1
1.1%
12.0 1
1.1%
11.7 1
1.1%
11.5 2
2.3%
11.4 1
1.1%
11.3 1
1.1%
11.1 1
1.1%
11.0 1
1.1%

2018-02
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9655172
Minimum3.5
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:00.335637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.63
Q16.2
median7.8
Q39.6
95-th percentile11.74
Maximum12.4
Range8.9
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1970291
Coefficient of variation (CV)0.2758175
Kurtosis-0.87471678
Mean7.9655172
Median Absolute Deviation (MAD)1.7
Skewness0.1976222
Sum693
Variance4.8269366
MonotonicityNot monotonic
2023-12-12T21:07:00.483270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 5
 
5.7%
9.6 4
 
4.6%
8.0 3
 
3.4%
9.5 3
 
3.4%
6.2 3
 
3.4%
7.9 3
 
3.4%
11.0 2
 
2.3%
6.0 2
 
2.3%
7.0 2
 
2.3%
9.7 2
 
2.3%
Other values (43) 58
66.7%
ValueCountFrequency (%)
3.5 1
1.1%
4.2 1
1.1%
4.5 1
1.1%
4.6 2
2.3%
4.7 1
1.1%
4.8 1
1.1%
5.1 1
1.1%
5.3 2
2.3%
5.4 1
1.1%
5.6 2
2.3%
ValueCountFrequency (%)
12.4 1
1.1%
12.1 2
2.3%
12.0 1
1.1%
11.8 1
1.1%
11.6 1
1.1%
11.5 1
1.1%
11.3 1
1.1%
11.1 1
1.1%
11.0 2
2.3%
10.7 2
2.3%

2018-03
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9827586
Minimum3.6
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:00.659953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.63
Q16.3
median7.7
Q39.8
95-th percentile11.57
Maximum12.5
Range8.9
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.2156529
Coefficient of variation (CV)0.27755479
Kurtosis-0.95802312
Mean7.9827586
Median Absolute Deviation (MAD)1.8
Skewness0.14652273
Sum694.5
Variance4.9091179
MonotonicityNot monotonic
2023-12-12T21:07:00.835129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.8 4
 
4.6%
6.5 4
 
4.6%
9.6 3
 
3.4%
7.5 3
 
3.4%
7.3 2
 
2.3%
7.9 2
 
2.3%
6.9 2
 
2.3%
6.7 2
 
2.3%
6.3 2
 
2.3%
8.2 2
 
2.3%
Other values (47) 61
70.1%
ValueCountFrequency (%)
3.6 1
1.1%
4.1 1
1.1%
4.4 2
2.3%
4.6 1
1.1%
4.7 1
1.1%
4.9 1
1.1%
5.0 2
2.3%
5.1 1
1.1%
5.4 1
1.1%
5.6 2
2.3%
ValueCountFrequency (%)
12.5 1
1.1%
12.1 1
1.1%
12.0 1
1.1%
11.6 2
2.3%
11.5 1
1.1%
11.3 2
2.3%
11.1 2
2.3%
10.9 2
2.3%
10.7 1
1.1%
10.6 1
1.1%

2018-04
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0229885
Minimum3.5
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:00.989496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.63
Q16.35
median7.7
Q39.7
95-th percentile11.47
Maximum12.6
Range9.1
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.1962813
Coefficient of variation (CV)0.27374853
Kurtosis-0.92207408
Mean8.0229885
Median Absolute Deviation (MAD)1.8
Skewness0.1032904
Sum698
Variance4.8236514
MonotonicityNot monotonic
2023-12-12T21:07:01.148099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 4
 
4.6%
7.5 3
 
3.4%
5.8 3
 
3.4%
7.7 3
 
3.4%
9.2 2
 
2.3%
7.9 2
 
2.3%
10.9 2
 
2.3%
10.8 2
 
2.3%
7.6 2
 
2.3%
7.0 2
 
2.3%
Other values (48) 62
71.3%
ValueCountFrequency (%)
3.5 1
1.1%
4.1 1
1.1%
4.4 1
1.1%
4.6 2
2.3%
4.7 1
1.1%
4.9 2
2.3%
5.0 1
1.1%
5.5 2
2.3%
5.6 1
1.1%
5.7 1
1.1%
ValueCountFrequency (%)
12.6 1
1.1%
12.1 1
1.1%
12.0 1
1.1%
11.6 1
1.1%
11.5 1
1.1%
11.4 2
2.3%
11.3 1
1.1%
11.0 1
1.1%
10.9 2
2.3%
10.8 2
2.3%

2018-05
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0333333
Minimum3.6
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:01.338433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.73
Q16.35
median7.8
Q39.75
95-th percentile11.57
Maximum12.5
Range8.9
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.215782
Coefficient of variation (CV)0.27582349
Kurtosis-0.94453762
Mean8.0333333
Median Absolute Deviation (MAD)1.8
Skewness0.10544542
Sum698.9
Variance4.9096899
MonotonicityNot monotonic
2023-12-12T21:07:01.548938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10.3 4
 
4.6%
9.6 3
 
3.4%
7.6 3
 
3.4%
7.9 3
 
3.4%
7.4 3
 
3.4%
6.0 3
 
3.4%
9.3 2
 
2.3%
8.0 2
 
2.3%
9.9 2
 
2.3%
9.7 2
 
2.3%
Other values (47) 60
69.0%
ValueCountFrequency (%)
3.6 1
1.1%
4.0 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.0 2
2.3%
5.3 1
1.1%
5.4 1
1.1%
ValueCountFrequency (%)
12.5 1
1.1%
12.2 1
1.1%
12.0 1
1.1%
11.7 1
1.1%
11.6 1
1.1%
11.5 1
1.1%
11.4 1
1.1%
11.3 2
2.3%
11.0 1
1.1%
10.9 2
2.3%

2018-06
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0103448
Minimum3.6
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:01.712868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.83
Q16.3
median7.9
Q39.75
95-th percentile11.6
Maximum12.5
Range8.9
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.1980983
Coefficient of variation (CV)0.27440744
Kurtosis-0.93338167
Mean8.0103448
Median Absolute Deviation (MAD)1.8
Skewness0.1233556
Sum696.9
Variance4.8316359
MonotonicityNot monotonic
2023-12-12T21:07:01.929795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 3
 
3.4%
5.6 3
 
3.4%
6.6 3
 
3.4%
7.9 3
 
3.4%
9.7 3
 
3.4%
7.5 3
 
3.4%
6.4 3
 
3.4%
9.3 2
 
2.3%
11.3 2
 
2.3%
10.2 2
 
2.3%
Other values (48) 60
69.0%
ValueCountFrequency (%)
3.6 1
 
1.1%
4.0 1
 
1.1%
4.3 1
 
1.1%
4.4 1
 
1.1%
4.8 1
 
1.1%
4.9 1
 
1.1%
5.0 2
2.3%
5.3 1
 
1.1%
5.5 2
2.3%
5.6 3
3.4%
ValueCountFrequency (%)
12.5 1
1.1%
12.2 1
1.1%
11.9 1
1.1%
11.8 1
1.1%
11.6 2
2.3%
11.3 2
2.3%
11.0 2
2.3%
10.9 1
1.1%
10.7 1
1.1%
10.6 1
1.1%

2018-07
Real number (ℝ)

Distinct57
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.991954
Minimum3.9
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:02.127150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.83
Q16.2
median7.7
Q39.8
95-th percentile11.57
Maximum12.6
Range8.7
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.2001701
Coefficient of variation (CV)0.27529814
Kurtosis-0.94519031
Mean7.991954
Median Absolute Deviation (MAD)1.8
Skewness0.18248814
Sum695.3
Variance4.8407485
MonotonicityNot monotonic
2023-12-12T21:07:02.295688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5 4
 
4.6%
6.8 3
 
3.4%
7.4 3
 
3.4%
9.8 3
 
3.4%
6.0 3
 
3.4%
7.7 3
 
3.4%
9.2 3
 
3.4%
8.1 3
 
3.4%
5.9 2
 
2.3%
7.0 2
 
2.3%
Other values (47) 58
66.7%
ValueCountFrequency (%)
3.9 1
 
1.1%
4.1 1
 
1.1%
4.3 1
 
1.1%
4.5 1
 
1.1%
4.8 1
 
1.1%
4.9 2
2.3%
5.0 1
 
1.1%
5.5 4
4.6%
5.6 2
2.3%
5.7 1
 
1.1%
ValueCountFrequency (%)
12.6 1
1.1%
12.4 1
1.1%
12.1 1
1.1%
11.8 1
1.1%
11.6 1
1.1%
11.5 1
1.1%
11.4 1
1.1%
11.1 1
1.1%
11.0 2
2.3%
10.9 1
1.1%

2018-08
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9505747
Minimum3.7
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:02.428482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.8
Q16.25
median7.6
Q39.8
95-th percentile11.37
Maximum12.7
Range9
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.1930055
Coefficient of variation (CV)0.2758298
Kurtosis-0.86322882
Mean7.9505747
Median Absolute Deviation (MAD)1.8
Skewness0.19318634
Sum691.7
Variance4.8092729
MonotonicityNot monotonic
2023-12-12T21:07:02.561901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.0 4
 
4.6%
9.3 3
 
3.4%
5.7 3
 
3.4%
6.0 3
 
3.4%
7.6 3
 
3.4%
9.8 3
 
3.4%
6.3 3
 
3.4%
9.6 2
 
2.3%
4.8 2
 
2.3%
7.4 2
 
2.3%
Other values (48) 59
67.8%
ValueCountFrequency (%)
3.7 1
 
1.1%
4.1 1
 
1.1%
4.3 1
 
1.1%
4.5 1
 
1.1%
4.8 2
2.3%
4.9 1
 
1.1%
5.0 2
2.3%
5.5 2
2.3%
5.6 2
2.3%
5.7 3
3.4%
ValueCountFrequency (%)
12.7 1
1.1%
12.5 1
1.1%
12.3 1
1.1%
11.9 1
1.1%
11.4 1
1.1%
11.3 1
1.1%
11.2 1
1.1%
11.1 1
1.1%
10.9 1
1.1%
10.7 1
1.1%

2018-09
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9494253
Minimum3.6
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:02.677797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.53
Q16.2
median7.6
Q39.75
95-th percentile11.5
Maximum12.7
Range9.1
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.2221859
Coefficient of variation (CV)0.27954045
Kurtosis-0.8403882
Mean7.9494253
Median Absolute Deviation (MAD)1.8
Skewness0.13871
Sum691.6
Variance4.9381101
MonotonicityNot monotonic
2023-12-12T21:07:02.810684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.4 4
 
4.6%
6.0 4
 
4.6%
7.8 3
 
3.4%
10.2 3
 
3.4%
6.2 3
 
3.4%
7.6 3
 
3.4%
10.3 3
 
3.4%
5.8 3
 
3.4%
9.6 3
 
3.4%
5.5 3
 
3.4%
Other values (46) 55
63.2%
ValueCountFrequency (%)
3.6 1
 
1.1%
3.8 1
 
1.1%
4.1 1
 
1.1%
4.4 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.8 1
 
1.1%
5.0 2
2.3%
5.2 1
 
1.1%
5.5 3
3.4%
ValueCountFrequency (%)
12.7 1
1.1%
12.6 1
1.1%
12.0 1
1.1%
11.7 1
1.1%
11.5 2
2.3%
11.3 1
1.1%
11.0 1
1.1%
10.9 2
2.3%
10.8 1
1.1%
10.6 1
1.1%

2018-10
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9149425
Minimum3.8
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:02.956636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.46
Q16.2
median7.5
Q39.75
95-th percentile11.47
Maximum12.7
Range8.9
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.1800645
Coefficient of variation (CV)0.27543655
Kurtosis-0.79557025
Mean7.9149425
Median Absolute Deviation (MAD)1.7
Skewness0.21689381
Sum688.6
Variance4.7526811
MonotonicityNot monotonic
2023-12-12T21:07:03.487123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.5 5
 
5.7%
10.1 5
 
5.7%
6.4 4
 
4.6%
6.2 4
 
4.6%
7.7 3
 
3.4%
6.0 3
 
3.4%
9.5 2
 
2.3%
7.0 2
 
2.3%
8.0 2
 
2.3%
7.3 2
 
2.3%
Other values (44) 55
63.2%
ValueCountFrequency (%)
3.8 1
1.1%
4.1 1
1.1%
4.3 1
1.1%
4.4 2
2.3%
4.6 1
1.1%
4.9 2
2.3%
5.0 1
1.1%
5.4 1
1.1%
5.5 2
2.3%
5.6 1
1.1%
ValueCountFrequency (%)
12.7 1
1.1%
12.5 1
1.1%
12.2 1
1.1%
11.7 1
1.1%
11.5 1
1.1%
11.4 2
2.3%
11.0 1
1.1%
10.9 1
1.1%
10.7 1
1.1%
10.6 1
1.1%

2018-11
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8183908
Minimum3.9
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:03.668416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.46
Q16
median7.5
Q39.75
95-th percentile11.3
Maximum12.6
Range8.7
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.1853385
Coefficient of variation (CV)0.27951257
Kurtosis-0.96987487
Mean7.8183908
Median Absolute Deviation (MAD)1.8
Skewness0.21347674
Sum680.2
Variance4.7757044
MonotonicityNot monotonic
2023-12-12T21:07:03.835132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
9.3 4
 
4.6%
7.4 4
 
4.6%
9.8 4
 
4.6%
7.7 3
 
3.4%
5.9 3
 
3.4%
5.5 3
 
3.4%
8.2 3
 
3.4%
5.7 3
 
3.4%
10.7 3
 
3.4%
6.1 3
 
3.4%
Other values (39) 54
62.1%
ValueCountFrequency (%)
3.9 1
 
1.1%
4.2 1
 
1.1%
4.4 3
3.4%
4.6 1
 
1.1%
4.7 1
 
1.1%
5.0 1
 
1.1%
5.1 2
2.3%
5.5 3
3.4%
5.7 3
3.4%
5.8 2
2.3%
ValueCountFrequency (%)
12.6 1
 
1.1%
12.2 1
 
1.1%
11.9 1
 
1.1%
11.5 1
 
1.1%
11.3 2
2.3%
11.2 1
 
1.1%
10.9 1
 
1.1%
10.7 3
3.4%
10.6 1
 
1.1%
10.3 2
2.3%

2018-12
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7747126
Minimum3.9
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:03.988983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.46
Q16
median7.4
Q39.65
95-th percentile11.37
Maximum12.5
Range8.6
Interquartile range (IQR)3.65

Descriptive statistics

Standard deviation2.1787674
Coefficient of variation (CV)0.28023768
Kurtosis-0.90997883
Mean7.7747126
Median Absolute Deviation (MAD)1.7
Skewness0.27208711
Sum676.4
Variance4.7470275
MonotonicityNot monotonic
2023-12-12T21:07:04.140886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 5
 
5.7%
7.0 4
 
4.6%
7.3 4
 
4.6%
9.7 3
 
3.4%
5.8 3
 
3.4%
10.6 3
 
3.4%
9.2 3
 
3.4%
7.5 3
 
3.4%
4.4 3
 
3.4%
10.7 2
 
2.3%
Other values (45) 54
62.1%
ValueCountFrequency (%)
3.9 1
 
1.1%
4.2 1
 
1.1%
4.4 3
3.4%
4.6 1
 
1.1%
4.9 1
 
1.1%
5.0 2
2.3%
5.1 1
 
1.1%
5.4 1
 
1.1%
5.5 2
2.3%
5.6 1
 
1.1%
ValueCountFrequency (%)
12.5 1
 
1.1%
12.3 1
 
1.1%
12.0 1
 
1.1%
11.7 1
 
1.1%
11.4 1
 
1.1%
11.3 2
2.3%
10.7 2
2.3%
10.6 3
3.4%
10.3 1
 
1.1%
10.2 1
 
1.1%

2019-01
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.754023
Minimum3.6
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:04.296992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.4
Q15.95
median7.4
Q39.5
95-th percentile11.37
Maximum12.2
Range8.6
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.1823715
Coefficient of variation (CV)0.28145022
Kurtosis-0.96683847
Mean7.754023
Median Absolute Deviation (MAD)1.7
Skewness0.18519725
Sum674.6
Variance4.7627453
MonotonicityNot monotonic
2023-12-12T21:07:04.469963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 4
 
4.6%
6.1 3
 
3.4%
7.7 3
 
3.4%
5.7 3
 
3.4%
5.8 3
 
3.4%
4.9 3
 
3.4%
9.3 3
 
3.4%
6.2 3
 
3.4%
7.9 2
 
2.3%
7.4 2
 
2.3%
Other values (43) 58
66.7%
ValueCountFrequency (%)
3.6 1
 
1.1%
4.1 1
 
1.1%
4.2 1
 
1.1%
4.3 1
 
1.1%
4.4 2
2.3%
4.9 3
3.4%
5.1 1
 
1.1%
5.4 1
 
1.1%
5.5 2
2.3%
5.6 1
 
1.1%
ValueCountFrequency (%)
12.2 1
1.1%
12.1 1
1.1%
11.8 1
1.1%
11.5 1
1.1%
11.4 1
1.1%
11.3 1
1.1%
11.2 1
1.1%
10.9 1
1.1%
10.8 1
1.1%
10.6 2
2.3%

2019-02
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8
Minimum3.8
Maximum12.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:04.610690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.33
Q15.9
median7.4
Q39.6
95-th percentile11.4
Maximum12.1
Range8.3
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation2.2149072
Coefficient of variation (CV)0.28396246
Kurtosis-1.0575946
Mean7.8
Median Absolute Deviation (MAD)1.7
Skewness0.1417873
Sum678.6
Variance4.905814
MonotonicityNot monotonic
2023-12-12T21:07:04.791046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7 5
 
5.7%
5.9 4
 
4.6%
7.4 4
 
4.6%
9.4 3
 
3.4%
10.8 3
 
3.4%
10.1 3
 
3.4%
7.9 3
 
3.4%
6.0 3
 
3.4%
4.2 2
 
2.3%
9.1 2
 
2.3%
Other values (44) 55
63.2%
ValueCountFrequency (%)
3.8 1
1.1%
4.0 1
1.1%
4.2 2
2.3%
4.3 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.4 2
2.3%
5.5 2
2.3%
ValueCountFrequency (%)
12.1 1
 
1.1%
12.0 1
 
1.1%
11.8 1
 
1.1%
11.5 1
 
1.1%
11.4 2
2.3%
11.1 1
 
1.1%
10.9 1
 
1.1%
10.8 3
3.4%
10.7 1
 
1.1%
10.3 2
2.3%

2019-03
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8011494
Minimum3.7
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:04.960875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.43
Q15.9
median7.4
Q39.65
95-th percentile11.4
Maximum12.4
Range8.7
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.2073605
Coefficient of variation (CV)0.28295324
Kurtosis-1.0059764
Mean7.8011494
Median Absolute Deviation (MAD)1.7
Skewness0.17712339
Sum678.7
Variance4.8724405
MonotonicityNot monotonic
2023-12-12T21:07:05.124756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9 4
 
4.6%
5.8 3
 
3.4%
8.0 3
 
3.4%
9.6 3
 
3.4%
6.8 3
 
3.4%
7.0 3
 
3.4%
6.0 2
 
2.3%
10.9 2
 
2.3%
9.9 2
 
2.3%
5.6 2
 
2.3%
Other values (48) 60
69.0%
ValueCountFrequency (%)
3.7 1
1.1%
4.0 1
1.1%
4.3 2
2.3%
4.4 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.4 2
2.3%
5.5 1
1.1%
ValueCountFrequency (%)
12.4 1
1.1%
12.1 1
1.1%
11.7 1
1.1%
11.5 1
1.1%
11.4 2
2.3%
11.1 1
1.1%
10.9 2
2.3%
10.8 2
2.3%
10.5 1
1.1%
10.4 1
1.1%

2019-04
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9011494
Minimum3.8
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:05.287117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.46
Q16.25
median7.5
Q39.65
95-th percentile11.37
Maximum12.5
Range8.7
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1733317
Coefficient of variation (CV)0.27506526
Kurtosis-0.99219917
Mean7.9011494
Median Absolute Deviation (MAD)1.8
Skewness0.14159939
Sum687.4
Variance4.7233708
MonotonicityNot monotonic
2023-12-12T21:07:05.428099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.6 4
 
4.6%
5.9 3
 
3.4%
7.8 3
 
3.4%
6.6 3
 
3.4%
7.4 3
 
3.4%
5.6 3
 
3.4%
6.7 3
 
3.4%
10.6 2
 
2.3%
9.4 2
 
2.3%
6.8 2
 
2.3%
Other values (45) 59
67.8%
ValueCountFrequency (%)
3.8 1
 
1.1%
4.0 1
 
1.1%
4.2 1
 
1.1%
4.3 1
 
1.1%
4.4 1
 
1.1%
4.6 1
 
1.1%
4.9 2
2.3%
5.4 1
 
1.1%
5.5 1
 
1.1%
5.6 3
3.4%
ValueCountFrequency (%)
12.5 1
1.1%
12.0 1
1.1%
11.6 1
1.1%
11.4 2
2.3%
11.3 1
1.1%
11.2 1
1.1%
11.1 1
1.1%
10.8 2
2.3%
10.6 2
2.3%
10.5 1
1.1%

2019-05
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9494253
Minimum3.8
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:05.558086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.46
Q16.25
median7.6
Q39.85
95-th percentile11.4
Maximum12.5
Range8.7
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.2161077
Coefficient of variation (CV)0.27877584
Kurtosis-1.0521368
Mean7.9494253
Median Absolute Deviation (MAD)1.8
Skewness0.14473815
Sum691.6
Variance4.9111334
MonotonicityNot monotonic
2023-12-12T21:07:05.703174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.7 4
 
4.6%
5.9 4
 
4.6%
7.6 3
 
3.4%
10.7 3
 
3.4%
9.7 3
 
3.4%
5.7 3
 
3.4%
6.8 3
 
3.4%
9.9 3
 
3.4%
6.4 2
 
2.3%
10.8 2
 
2.3%
Other values (46) 57
65.5%
ValueCountFrequency (%)
3.8 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.3 1
1.1%
4.4 1
1.1%
4.6 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
ValueCountFrequency (%)
12.5 1
 
1.1%
12.0 1
 
1.1%
11.7 1
 
1.1%
11.6 1
 
1.1%
11.4 2
2.3%
11.3 1
 
1.1%
11.2 1
 
1.1%
11.0 1
 
1.1%
10.8 2
2.3%
10.7 3
3.4%

2019-06
Real number (ℝ)

Distinct59
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9643678
Minimum3.8
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:05.869213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.46
Q16.25
median7.6
Q39.95
95-th percentile11.47
Maximum12.6
Range8.8
Interquartile range (IQR)3.7

Descriptive statistics

Standard deviation2.2497533
Coefficient of variation (CV)0.28247733
Kurtosis-0.96247816
Mean7.9643678
Median Absolute Deviation (MAD)1.7
Skewness0.1870468
Sum692.9
Variance5.06139
MonotonicityNot monotonic
2023-12-12T21:07:06.038034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.4 4
 
4.6%
7.6 3
 
3.4%
7.2 3
 
3.4%
10.2 3
 
3.4%
10.1 3
 
3.4%
5.5 3
 
3.4%
7.1 2
 
2.3%
11.4 2
 
2.3%
7.3 2
 
2.3%
6.8 2
 
2.3%
Other values (49) 60
69.0%
ValueCountFrequency (%)
3.8 1
 
1.1%
4.0 1
 
1.1%
4.2 1
 
1.1%
4.3 1
 
1.1%
4.4 1
 
1.1%
4.6 1
 
1.1%
4.9 1
 
1.1%
5.0 1
 
1.1%
5.1 1
 
1.1%
5.5 3
3.4%
ValueCountFrequency (%)
12.6 1
1.1%
12.4 1
1.1%
12.1 1
1.1%
12.0 1
1.1%
11.5 1
1.1%
11.4 2
2.3%
11.2 1
1.1%
11.0 2
2.3%
10.9 1
1.1%
10.8 1
1.1%

2019-07
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9482759
Minimum3.9
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:06.203607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.9
5-th percentile4.43
Q16.25
median7.5
Q310
95-th percentile11.5
Maximum12.4
Range8.5
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.2511425
Coefficient of variation (CV)0.283224
Kurtosis-1.0290394
Mean7.9482759
Median Absolute Deviation (MAD)1.8
Skewness0.19996584
Sum691.5
Variance5.0676423
MonotonicityNot monotonic
2023-12-12T21:07:06.406335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.9 5
 
5.7%
6.3 4
 
4.6%
10.0 4
 
4.6%
10.9 4
 
4.6%
9.4 4
 
4.6%
7.7 3
 
3.4%
7.1 3
 
3.4%
5.7 2
 
2.3%
7.4 2
 
2.3%
7.3 2
 
2.3%
Other values (44) 54
62.1%
ValueCountFrequency (%)
3.9 1
1.1%
4.1 1
1.1%
4.3 2
2.3%
4.4 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
5.0 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.5 1
1.1%
ValueCountFrequency (%)
12.4 1
 
1.1%
12.3 1
 
1.1%
11.9 2
2.3%
11.5 2
2.3%
11.4 1
 
1.1%
11.3 1
 
1.1%
10.9 4
4.6%
10.8 1
 
1.1%
10.7 1
 
1.1%
10.6 1
 
1.1%

2019-08
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8873563
Minimum3.8
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:06.581838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.53
Q16.25
median7.4
Q39.8
95-th percentile11.5
Maximum12.4
Range8.6
Interquartile range (IQR)3.55

Descriptive statistics

Standard deviation2.2031059
Coefficient of variation (CV)0.27932121
Kurtosis-0.92045362
Mean7.8873563
Median Absolute Deviation (MAD)1.6
Skewness0.25236887
Sum686.2
Variance4.8536755
MonotonicityNot monotonic
2023-12-12T21:07:06.751091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3 4
 
4.6%
6.4 3
 
3.4%
7.4 3
 
3.4%
7.6 3
 
3.4%
5.9 3
 
3.4%
7.1 3
 
3.4%
9.8 3
 
3.4%
6.5 3
 
3.4%
9.2 2
 
2.3%
9.9 2
 
2.3%
Other values (45) 58
66.7%
ValueCountFrequency (%)
3.8 1
1.1%
4.1 1
1.1%
4.3 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
5.0 2
2.3%
5.1 1
1.1%
5.3 1
1.1%
5.5 1
1.1%
ValueCountFrequency (%)
12.4 1
1.1%
12.2 1
1.1%
12.1 1
1.1%
12.0 1
1.1%
11.5 2
2.3%
11.2 2
2.3%
10.9 1
1.1%
10.8 2
2.3%
10.7 1
1.1%
10.5 2
2.3%

2019-09
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8275862
Minimum3.7
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:06.926379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.53
Q16.25
median7.3
Q39.7
95-th percentile11.27
Maximum12.4
Range8.7
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.15097
Coefficient of variation (CV)0.27479353
Kurtosis-0.94965628
Mean7.8275862
Median Absolute Deviation (MAD)1.6
Skewness0.23205099
Sum681
Variance4.626672
MonotonicityNot monotonic
2023-12-12T21:07:07.082808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.7 4
 
4.6%
6.4 4
 
4.6%
7.6 4
 
4.6%
7.3 4
 
4.6%
5.7 3
 
3.4%
6.6 3
 
3.4%
4.5 2
 
2.3%
10.5 2
 
2.3%
11.2 2
 
2.3%
6.5 2
 
2.3%
Other values (43) 57
65.5%
ValueCountFrequency (%)
3.7 1
 
1.1%
4.2 1
 
1.1%
4.4 1
 
1.1%
4.5 2
2.3%
4.6 1
 
1.1%
5.0 2
2.3%
5.1 1
 
1.1%
5.2 1
 
1.1%
5.5 2
2.3%
5.7 3
3.4%
ValueCountFrequency (%)
12.4 1
1.1%
12.0 2
2.3%
11.4 1
1.1%
11.3 1
1.1%
11.2 2
2.3%
10.8 2
2.3%
10.7 2
2.3%
10.5 2
2.3%
10.4 1
1.1%
10.3 2
2.3%

2019-10
Real number (ℝ)

Distinct56
Distinct (%)64.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8022989
Minimum3.7
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:07.272518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.46
Q16.15
median7.4
Q39.75
95-th percentile11.24
Maximum12.3
Range8.6
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation2.1808883
Coefficient of variation (CV)0.27951868
Kurtosis-1.005758
Mean7.8022989
Median Absolute Deviation (MAD)1.8
Skewness0.1848417
Sum678.8
Variance4.7562737
MonotonicityNot monotonic
2023-12-12T21:07:07.424219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 4
 
4.6%
6.6 4
 
4.6%
7.5 3
 
3.4%
10.8 3
 
3.4%
9.3 3
 
3.4%
7.2 3
 
3.4%
6.3 3
 
3.4%
9.8 3
 
3.4%
5.8 2
 
2.3%
10.2 2
 
2.3%
Other values (46) 57
65.5%
ValueCountFrequency (%)
3.7 1
1.1%
4.2 1
1.1%
4.3 1
1.1%
4.4 2
2.3%
4.6 2
2.3%
4.9 2
2.3%
5.2 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.5 1
1.1%
ValueCountFrequency (%)
12.3 1
 
1.1%
12.1 1
 
1.1%
11.8 1
 
1.1%
11.4 1
 
1.1%
11.3 1
 
1.1%
11.1 1
 
1.1%
11.0 1
 
1.1%
10.8 3
3.4%
10.7 1
 
1.1%
10.5 2
2.3%

2019-11
Real number (ℝ)

Distinct58
Distinct (%)66.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6758621
Minimum3.5
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:07.586073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.33
Q16.15
median7.3
Q39.35
95-th percentile11.2
Maximum12.4
Range8.9
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.1574083
Coefficient of variation (CV)0.28106397
Kurtosis-0.86612528
Mean7.6758621
Median Absolute Deviation (MAD)1.5
Skewness0.23773934
Sum667.8
Variance4.6544106
MonotonicityNot monotonic
2023-12-12T21:07:07.737983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 5
 
5.7%
6.5 4
 
4.6%
5.8 4
 
4.6%
9.3 4
 
4.6%
7.2 3
 
3.4%
5.4 2
 
2.3%
8.4 2
 
2.3%
10.6 2
 
2.3%
9.1 2
 
2.3%
9.7 2
 
2.3%
Other values (48) 57
65.5%
ValueCountFrequency (%)
3.5 1
1.1%
4.0 1
1.1%
4.2 2
2.3%
4.3 1
1.1%
4.4 1
1.1%
4.7 1
1.1%
4.8 2
2.3%
5.2 1
1.1%
5.3 1
1.1%
5.4 2
2.3%
ValueCountFrequency (%)
12.4 1
1.1%
11.9 1
1.1%
11.6 1
1.1%
11.3 1
1.1%
11.2 2
2.3%
11.0 1
1.1%
10.9 1
1.1%
10.7 2
2.3%
10.6 2
2.3%
10.5 1
1.1%

2019-12
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5804598
Minimum3.6
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:07.888926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.4
Q16
median7.2
Q39.3
95-th percentile11.04
Maximum12.6
Range9
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.079291
Coefficient of variation (CV)0.27429616
Kurtosis-0.77047986
Mean7.5804598
Median Absolute Deviation (MAD)1.5
Skewness0.2685587
Sum659.5
Variance4.3234509
MonotonicityNot monotonic
2023-12-12T21:07:08.447004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7 5
 
5.7%
6.3 4
 
4.6%
5.9 3
 
3.4%
10.2 3
 
3.4%
11.1 3
 
3.4%
9.6 3
 
3.4%
6.0 3
 
3.4%
10.7 2
 
2.3%
8.8 2
 
2.3%
9.2 2
 
2.3%
Other values (41) 57
65.5%
ValueCountFrequency (%)
3.6 1
1.1%
4.1 1
1.1%
4.3 2
2.3%
4.4 2
2.3%
4.7 2
2.3%
4.8 1
1.1%
5.2 1
1.1%
5.3 1
1.1%
5.4 1
1.1%
5.6 1
1.1%
ValueCountFrequency (%)
12.6 1
 
1.1%
12.0 1
 
1.1%
11.1 3
3.4%
10.9 1
 
1.1%
10.7 2
2.3%
10.3 2
2.3%
10.2 3
3.4%
10.0 1
 
1.1%
9.9 1
 
1.1%
9.7 1
 
1.1%

2020-01
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6057471
Minimum3.8
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:08.627192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.36
Q16
median7.1
Q39.45
95-th percentile11.04
Maximum12.4
Range8.6
Interquartile range (IQR)3.45

Descriptive statistics

Standard deviation2.1023993
Coefficient of variation (CV)0.27642246
Kurtosis-0.92416539
Mean7.6057471
Median Absolute Deviation (MAD)1.6
Skewness0.25255799
Sum661.7
Variance4.4200829
MonotonicityNot monotonic
2023-12-12T21:07:08.838922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 4
 
4.6%
9.2 3
 
3.4%
6.5 3
 
3.4%
4.3 3
 
3.4%
7.1 3
 
3.4%
6.4 3
 
3.4%
5.7 3
 
3.4%
10.6 3
 
3.4%
9.5 3
 
3.4%
6.2 3
 
3.4%
Other values (40) 56
64.4%
ValueCountFrequency (%)
3.8 1
 
1.1%
4.1 1
 
1.1%
4.3 3
3.4%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.9 1
 
1.1%
5.0 1
 
1.1%
5.1 1
 
1.1%
5.4 3
3.4%
5.5 1
 
1.1%
ValueCountFrequency (%)
12.4 1
 
1.1%
11.7 1
 
1.1%
11.4 1
 
1.1%
11.2 1
 
1.1%
11.1 1
 
1.1%
10.9 1
 
1.1%
10.8 1
 
1.1%
10.6 3
3.4%
10.4 2
2.3%
10.1 1
 
1.1%

2020-02
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6034483
Minimum3.6
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:09.026284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.36
Q15.95
median7.1
Q39.35
95-th percentile11
Maximum12.3
Range8.7
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1304246
Coefficient of variation (CV)0.2801919
Kurtosis-0.93083964
Mean7.6034483
Median Absolute Deviation (MAD)1.6
Skewness0.26368776
Sum661.5
Variance4.5387089
MonotonicityNot monotonic
2023-12-12T21:07:09.221481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.0 4
 
4.6%
11.0 3
 
3.4%
6.1 3
 
3.4%
9.6 3
 
3.4%
5.5 3
 
3.4%
9.3 3
 
3.4%
8.5 2
 
2.3%
10.8 2
 
2.3%
6.9 2
 
2.3%
7.1 2
 
2.3%
Other values (42) 60
69.0%
ValueCountFrequency (%)
3.6 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.3 2
2.3%
4.5 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.4 2
2.3%
ValueCountFrequency (%)
12.3 1
 
1.1%
11.8 1
 
1.1%
11.6 1
 
1.1%
11.1 1
 
1.1%
11.0 3
3.4%
10.8 2
2.3%
10.7 1
 
1.1%
10.4 1
 
1.1%
10.3 2
2.3%
10.0 2
2.3%

2020-03
Real number (ℝ)

Distinct55
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5873563
Minimum3.6
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:09.441782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.36
Q15.9
median7.1
Q39.25
95-th percentile11.01
Maximum12.2
Range8.6
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.1181829
Coefficient of variation (CV)0.27917272
Kurtosis-0.937512
Mean7.5873563
Median Absolute Deviation (MAD)1.7
Skewness0.24363308
Sum660.1
Variance4.4866987
MonotonicityNot monotonic
2023-12-12T21:07:09.619699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.1 5
 
5.7%
6.0 3
 
3.4%
5.9 3
 
3.4%
9.0 3
 
3.4%
5.5 3
 
3.4%
5.7 3
 
3.4%
6.4 3
 
3.4%
7.0 3
 
3.4%
9.1 2
 
2.3%
9.5 2
 
2.3%
Other values (45) 57
65.5%
ValueCountFrequency (%)
3.6 1
1.1%
4.0 1
1.1%
4.2 2
2.3%
4.3 1
1.1%
4.5 1
1.1%
4.8 1
1.1%
4.9 1
1.1%
5.0 1
1.1%
5.1 1
1.1%
5.4 2
2.3%
ValueCountFrequency (%)
12.2 1
1.1%
11.8 1
1.1%
11.4 1
1.1%
11.3 1
1.1%
11.1 1
1.1%
10.8 2
2.3%
10.7 2
2.3%
10.6 1
1.1%
10.5 1
1.1%
10.4 1
1.1%

2020-04
Real number (ℝ)

Distinct54
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5505747
Minimum3.6
Maximum12.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:09.866343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.46
Q15.9
median7.1
Q39.15
95-th percentile10.94
Maximum12.4
Range8.8
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.0928379
Coefficient of variation (CV)0.27717598
Kurtosis-0.86405154
Mean7.5505747
Median Absolute Deviation (MAD)1.6
Skewness0.28979611
Sum656.9
Variance4.3799706
MonotonicityNot monotonic
2023-12-12T21:07:10.067973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.1 5
 
5.7%
5.8 4
 
4.6%
7.1 4
 
4.6%
9.1 4
 
4.6%
7.3 3
 
3.4%
6.8 3
 
3.4%
4.9 3
 
3.4%
5.6 3
 
3.4%
6.4 2
 
2.3%
9.3 2
 
2.3%
Other values (44) 54
62.1%
ValueCountFrequency (%)
3.6 1
 
1.1%
4.0 1
 
1.1%
4.2 1
 
1.1%
4.3 1
 
1.1%
4.4 1
 
1.1%
4.6 1
 
1.1%
4.9 3
3.4%
5.1 1
 
1.1%
5.4 2
2.3%
5.5 2
2.3%
ValueCountFrequency (%)
12.4 1
1.1%
11.9 1
1.1%
11.4 1
1.1%
11.1 1
1.1%
11.0 1
1.1%
10.8 1
1.1%
10.7 1
1.1%
10.6 1
1.1%
10.5 1
1.1%
10.4 1
1.1%

2020-05
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5103448
Minimum3.6
Maximum12.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:10.231908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.43
Q15.9
median7.1
Q39.25
95-th percentile10.84
Maximum12.1
Range8.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.0764479
Coefficient of variation (CV)0.27647837
Kurtosis-0.89842221
Mean7.5103448
Median Absolute Deviation (MAD)1.5
Skewness0.26315949
Sum653.4
Variance4.3116359
MonotonicityNot monotonic
2023-12-12T21:07:10.443269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.3 3
 
3.4%
6.2 3
 
3.4%
7.0 3
 
3.4%
5.6 3
 
3.4%
5.7 3
 
3.4%
9.6 3
 
3.4%
6.9 3
 
3.4%
9.2 3
 
3.4%
6.1 3
 
3.4%
7.5 3
 
3.4%
Other values (42) 57
65.5%
ValueCountFrequency (%)
3.6 1
1.1%
3.9 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
5.1 2
2.3%
5.4 2
2.3%
ValueCountFrequency (%)
12.1 1
1.1%
11.7 1
1.1%
11.5 1
1.1%
11.0 1
1.1%
10.9 1
1.1%
10.7 1
1.1%
10.5 2
2.3%
10.4 2
2.3%
10.3 1
1.1%
10.2 2
2.3%

2020-06
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5413793
Minimum3.8
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:10.619781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.53
Q15.95
median7.1
Q39.3
95-th percentile10.97
Maximum12
Range8.2
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.0764769
Coefficient of variation (CV)0.27534444
Kurtosis-0.9101846
Mean7.5413793
Median Absolute Deviation (MAD)1.6
Skewness0.24070846
Sum656.1
Variance4.3117562
MonotonicityNot monotonic
2023-12-12T21:07:10.811881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.8 4
 
4.6%
10.3 3
 
3.4%
7.1 3
 
3.4%
6.2 3
 
3.4%
9.6 3
 
3.4%
9.0 3
 
3.4%
6.8 3
 
3.4%
6.1 3
 
3.4%
5.4 3
 
3.4%
9.3 2
 
2.3%
Other values (41) 57
65.5%
ValueCountFrequency (%)
3.8 2
2.3%
3.9 1
 
1.1%
4.2 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.7 1
 
1.1%
4.9 2
2.3%
5.1 1
 
1.1%
5.4 3
3.4%
5.5 2
2.3%
ValueCountFrequency (%)
12.0 1
 
1.1%
11.6 1
 
1.1%
11.5 1
 
1.1%
11.0 2
2.3%
10.9 1
 
1.1%
10.7 1
 
1.1%
10.5 2
2.3%
10.3 3
3.4%
10.1 1
 
1.1%
10.0 1
 
1.1%

2020-07
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5241379
Minimum3.7
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:11.003512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.53
Q16
median7.2
Q39.25
95-th percentile10.87
Maximum12
Range8.3
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.0600274
Coefficient of variation (CV)0.27378916
Kurtosis-0.87668368
Mean7.5241379
Median Absolute Deviation (MAD)1.6
Skewness0.21070751
Sum654.6
Variance4.2437129
MonotonicityNot monotonic
2023-12-12T21:07:11.208688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 6
 
6.9%
5.4 4
 
4.6%
6.2 4
 
4.6%
6.9 3
 
3.4%
9.3 3
 
3.4%
5.8 3
 
3.4%
5.6 2
 
2.3%
8.9 2
 
2.3%
6.0 2
 
2.3%
8.5 2
 
2.3%
Other values (41) 56
64.4%
ValueCountFrequency (%)
3.7 1
 
1.1%
3.8 2
2.3%
4.2 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.7 1
 
1.1%
4.8 2
2.3%
5.1 1
 
1.1%
5.4 4
4.6%
5.5 1
 
1.1%
ValueCountFrequency (%)
12.0 1
1.1%
11.5 2
2.3%
10.9 2
2.3%
10.8 1
1.1%
10.7 1
1.1%
10.6 1
1.1%
10.3 2
2.3%
10.2 2
2.3%
10.1 1
1.1%
9.9 2
2.3%

2020-08
Real number (ℝ)

Distinct46
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4735632
Minimum3.8
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:11.375044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.6
Q15.85
median7
Q39.15
95-th percentile10.8
Maximum12
Range8.2
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.0515145
Coefficient of variation (CV)0.27450286
Kurtosis-0.91531481
Mean7.4735632
Median Absolute Deviation (MAD)1.6
Skewness0.22672476
Sum650.2
Variance4.2087116
MonotonicityNot monotonic
2023-12-12T21:07:11.528823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5.4 5
 
5.7%
6.9 4
 
4.6%
4.6 3
 
3.4%
8.9 3
 
3.4%
6.2 3
 
3.4%
8.0 3
 
3.4%
3.8 3
 
3.4%
9.4 3
 
3.4%
7.2 3
 
3.4%
10.3 3
 
3.4%
Other values (36) 54
62.1%
ValueCountFrequency (%)
3.8 3
3.4%
4.2 1
 
1.1%
4.6 3
3.4%
4.8 2
 
2.3%
5.1 1
 
1.1%
5.4 5
5.7%
5.5 2
 
2.3%
5.6 1
 
1.1%
5.7 2
 
2.3%
5.8 2
 
2.3%
ValueCountFrequency (%)
12.0 1
 
1.1%
11.3 1
 
1.1%
11.2 1
 
1.1%
11.1 1
 
1.1%
10.8 2
2.3%
10.7 1
 
1.1%
10.3 3
3.4%
10.2 2
2.3%
10.1 2
2.3%
9.8 1
 
1.1%

2020-09
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4241379
Minimum3.8
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:11.687435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.6
Q15.85
median6.9
Q39.1
95-th percentile10.67
Maximum11.6
Range7.8
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.0357254
Coefficient of variation (CV)0.27420361
Kurtosis-0.99148347
Mean7.4241379
Median Absolute Deviation (MAD)1.5
Skewness0.21386057
Sum645.9
Variance4.144178
MonotonicityNot monotonic
2023-12-12T21:07:11.915262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.3 5
 
5.7%
6.7 5
 
5.7%
9.1 3
 
3.4%
5.5 3
 
3.4%
6.5 3
 
3.4%
9.4 3
 
3.4%
4.6 3
 
3.4%
10.3 3
 
3.4%
6.0 3
 
3.4%
4.7 2
 
2.3%
Other values (40) 54
62.1%
ValueCountFrequency (%)
3.8 1
 
1.1%
3.9 2
2.3%
4.3 1
 
1.1%
4.6 3
3.4%
4.7 2
2.3%
4.8 1
 
1.1%
5.0 1
 
1.1%
5.3 2
2.3%
5.4 2
2.3%
5.5 3
3.4%
ValueCountFrequency (%)
11.6 1
 
1.1%
11.4 1
 
1.1%
11.2 1
 
1.1%
11.1 1
 
1.1%
10.7 1
 
1.1%
10.6 1
 
1.1%
10.3 3
3.4%
10.2 1
 
1.1%
10.1 1
 
1.1%
10.0 2
2.3%

2020-10
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3793103
Minimum3.7
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:12.113934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.7
5-th percentile4.53
Q15.8
median6.8
Q39.05
95-th percentile10.74
Maximum11.7
Range8
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation2.0425211
Coefficient of variation (CV)0.27679025
Kurtosis-0.92909993
Mean7.3793103
Median Absolute Deviation (MAD)1.4
Skewness0.26825528
Sum642
Variance4.1718925
MonotonicityNot monotonic
2023-12-12T21:07:12.339785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.5 4
 
4.6%
4.6 3
 
3.4%
6.2 3
 
3.4%
6.8 3
 
3.4%
5.8 3
 
3.4%
9.8 3
 
3.4%
5.3 3
 
3.4%
6.0 3
 
3.4%
6.6 2
 
2.3%
5.6 2
 
2.3%
Other values (43) 58
66.7%
ValueCountFrequency (%)
3.7 1
 
1.1%
3.8 1
 
1.1%
3.9 1
 
1.1%
4.2 1
 
1.1%
4.5 1
 
1.1%
4.6 3
3.4%
4.8 1
 
1.1%
4.9 1
 
1.1%
5.3 3
3.4%
5.5 4
4.6%
ValueCountFrequency (%)
11.7 1
1.1%
11.5 1
1.1%
11.3 1
1.1%
11.0 1
1.1%
10.8 1
1.1%
10.6 1
1.1%
10.3 2
2.3%
10.2 2
2.3%
10.1 1
1.1%
10.0 1
1.1%

2020-11
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3563218
Minimum3.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:12.587245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.23
Q15.8
median6.8
Q39.1
95-th percentile10.74
Maximum12
Range8.4
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.1036901
Coefficient of variation (CV)0.28597037
Kurtosis-0.97122922
Mean7.3563218
Median Absolute Deviation (MAD)1.5
Skewness0.25408909
Sum640
Variance4.4255119
MonotonicityNot monotonic
2023-12-12T21:07:12.766448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6.6 5
 
5.7%
8.8 4
 
4.6%
5.4 4
 
4.6%
10.3 3
 
3.4%
10.1 3
 
3.4%
5.8 3
 
3.4%
6.3 3
 
3.4%
8.1 3
 
3.4%
5.3 3
 
3.4%
6.0 3
 
3.4%
Other values (39) 53
60.9%
ValueCountFrequency (%)
3.6 1
1.1%
3.8 1
1.1%
3.9 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.3 1
1.1%
4.4 1
1.1%
4.6 1
1.1%
4.8 2
2.3%
5.1 1
1.1%
ValueCountFrequency (%)
12.0 1
 
1.1%
11.6 1
 
1.1%
11.0 2
2.3%
10.8 1
 
1.1%
10.6 1
 
1.1%
10.3 3
3.4%
10.2 1
 
1.1%
10.1 3
3.4%
10.0 1
 
1.1%
9.9 1
 
1.1%

2020-12
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.262069
Minimum3.5
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:12.951650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.26
Q15.8
median6.7
Q38.9
95-th percentile10.58
Maximum11.8
Range8.3
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation2.072087
Coefficient of variation (CV)0.28533012
Kurtosis-0.92892977
Mean7.262069
Median Absolute Deviation (MAD)1.6
Skewness0.27603491
Sum631.8
Variance4.2935445
MonotonicityNot monotonic
2023-12-12T21:07:13.130764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.0 5
 
5.7%
6.2 4
 
4.6%
5.8 4
 
4.6%
6.5 4
 
4.6%
8.8 3
 
3.4%
9.9 3
 
3.4%
5.3 3
 
3.4%
6.1 3
 
3.4%
8.9 3
 
3.4%
6.8 2
 
2.3%
Other values (42) 53
60.9%
ValueCountFrequency (%)
3.5 1
1.1%
3.8 1
1.1%
3.9 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.4 1
1.1%
4.5 2
2.3%
4.7 1
1.1%
4.8 2
2.3%
5.1 1
1.1%
ValueCountFrequency (%)
11.8 2
2.3%
11.1 1
 
1.1%
10.8 1
 
1.1%
10.7 1
 
1.1%
10.3 2
2.3%
10.1 1
 
1.1%
10.0 2
2.3%
9.9 3
3.4%
9.8 1
 
1.1%
9.7 1
 
1.1%

2021-01
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.245977
Minimum3.5
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:13.330414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.26
Q15.65
median6.6
Q39
95-th percentile10.74
Maximum12
Range8.5
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation2.0878277
Coefficient of variation (CV)0.28813611
Kurtosis-0.92140275
Mean7.245977
Median Absolute Deviation (MAD)1.4
Skewness0.33483957
Sum630.4
Variance4.3590243
MonotonicityNot monotonic
2023-12-12T21:07:13.520941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7 5
 
5.7%
6.4 4
 
4.6%
6.6 3
 
3.4%
5.2 3
 
3.4%
5.9 3
 
3.4%
8.8 3
 
3.4%
9.2 3
 
3.4%
5.3 3
 
3.4%
6.1 3
 
3.4%
7.6 2
 
2.3%
Other values (43) 55
63.2%
ValueCountFrequency (%)
3.5 1
 
1.1%
3.8 1
 
1.1%
4.0 1
 
1.1%
4.1 1
 
1.1%
4.2 1
 
1.1%
4.4 1
 
1.1%
4.6 2
2.3%
4.7 1
 
1.1%
4.9 1
 
1.1%
5.2 3
3.4%
ValueCountFrequency (%)
12.0 1
1.1%
11.8 1
1.1%
10.9 1
1.1%
10.8 2
2.3%
10.6 1
1.1%
10.5 1
1.1%
10.2 2
2.3%
10.0 2
2.3%
9.9 2
2.3%
9.7 1
1.1%

2021-02
Real number (ℝ)

Distinct47
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2666667
Minimum3.4
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:13.717226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.13
Q15.65
median6.7
Q39.05
95-th percentile10.6
Maximum11.6
Range8.2
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.0938818
Coefficient of variation (CV)0.28814887
Kurtosis-0.99817236
Mean7.2666667
Median Absolute Deviation (MAD)1.5
Skewness0.26687245
Sum632.2
Variance4.3843411
MonotonicityNot monotonic
2023-12-12T21:07:14.317630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.7 5
 
5.7%
5.6 5
 
5.7%
6.5 4
 
4.6%
5.3 3
 
3.4%
7.7 3
 
3.4%
5.2 3
 
3.4%
6.8 3
 
3.4%
10.2 3
 
3.4%
4.5 2
 
2.3%
8.1 2
 
2.3%
Other values (37) 54
62.1%
ValueCountFrequency (%)
3.4 1
 
1.1%
3.8 1
 
1.1%
4.0 2
2.3%
4.1 1
 
1.1%
4.2 1
 
1.1%
4.5 2
2.3%
4.7 1
 
1.1%
4.9 1
 
1.1%
5.2 3
3.4%
5.3 3
3.4%
ValueCountFrequency (%)
11.6 2
2.3%
11.3 1
 
1.1%
10.7 1
 
1.1%
10.6 2
2.3%
10.5 1
 
1.1%
10.2 3
3.4%
9.9 1
 
1.1%
9.8 2
2.3%
9.7 1
 
1.1%
9.6 2
2.3%

2021-03
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2770115
Minimum3.4
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:14.478156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.1
Q15.7
median6.6
Q39.1
95-th percentile10.7
Maximum11.8
Range8.4
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.1078867
Coefficient of variation (CV)0.28966379
Kurtosis-1.0113406
Mean7.2770115
Median Absolute Deviation (MAD)1.5
Skewness0.22934462
Sum633.1
Variance4.4431863
MonotonicityNot monotonic
2023-12-12T21:07:14.651792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.7 7
 
8.0%
6.6 7
 
8.0%
9.1 4
 
4.6%
6.2 4
 
4.6%
8.1 3
 
3.4%
10.7 3
 
3.4%
9.5 3
 
3.4%
9.7 3
 
3.4%
5.1 3
 
3.4%
6.1 2
 
2.3%
Other values (39) 48
55.2%
ValueCountFrequency (%)
3.4 1
 
1.1%
3.7 1
 
1.1%
3.9 2
2.3%
4.1 2
2.3%
4.4 2
2.3%
4.5 1
 
1.1%
5.0 1
 
1.1%
5.1 3
3.4%
5.2 1
 
1.1%
5.3 2
2.3%
ValueCountFrequency (%)
11.8 1
 
1.1%
11.2 1
 
1.1%
10.9 1
 
1.1%
10.7 3
3.4%
10.6 1
 
1.1%
10.4 1
 
1.1%
10.3 1
 
1.1%
10.2 1
 
1.1%
10.1 1
 
1.1%
9.9 1
 
1.1%

2021-04
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1977011
Minimum3.3
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:14.822100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.3
5-th percentile3.93
Q15.65
median6.7
Q39.05
95-th percentile10.6
Maximum11.6
Range8.3
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.084995
Coefficient of variation (CV)0.28967512
Kurtosis-1.0030834
Mean7.1977011
Median Absolute Deviation (MAD)1.5
Skewness0.24089308
Sum626.2
Variance4.347204
MonotonicityNot monotonic
2023-12-12T21:07:14.993397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.7 5
 
5.7%
5.3 4
 
4.6%
9.2 3
 
3.4%
6.8 3
 
3.4%
8.9 3
 
3.4%
10.6 3
 
3.4%
6.6 3
 
3.4%
6.3 3
 
3.4%
6.1 3
 
3.4%
3.9 2
 
2.3%
Other values (41) 55
63.2%
ValueCountFrequency (%)
3.3 1
1.1%
3.7 1
1.1%
3.8 1
1.1%
3.9 2
2.3%
4.0 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
5.0 1
1.1%
5.1 2
2.3%
ValueCountFrequency (%)
11.6 1
 
1.1%
11.2 1
 
1.1%
10.7 1
 
1.1%
10.6 3
3.4%
10.5 1
 
1.1%
10.4 1
 
1.1%
10.3 1
 
1.1%
10.0 1
 
1.1%
9.9 1
 
1.1%
9.8 2
2.3%

2021-05
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1816092
Minimum3.4
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:15.159412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile3.93
Q15.65
median6.7
Q39.05
95-th percentile10.44
Maximum11.5
Range8.1
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.0345578
Coefficient of variation (CV)0.2833011
Kurtosis-0.9750961
Mean7.1816092
Median Absolute Deviation (MAD)1.6
Skewness0.19431169
Sum624.8
Variance4.1394253
MonotonicityNot monotonic
2023-12-12T21:07:15.392958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
6.7 5
 
5.7%
5.3 4
 
4.6%
6.3 4
 
4.6%
9.1 4
 
4.6%
5.7 4
 
4.6%
10.0 3
 
3.4%
9.0 3
 
3.4%
6.8 3
 
3.4%
9.2 3
 
3.4%
5.1 3
 
3.4%
Other values (39) 51
58.6%
ValueCountFrequency (%)
3.4 1
 
1.1%
3.7 1
 
1.1%
3.8 1
 
1.1%
3.9 2
2.3%
4.0 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.7 2
2.3%
4.9 1
 
1.1%
5.1 3
3.4%
ValueCountFrequency (%)
11.5 1
 
1.1%
11.2 1
 
1.1%
10.7 1
 
1.1%
10.6 1
 
1.1%
10.5 1
 
1.1%
10.3 2
2.3%
10.0 3
3.4%
9.8 1
 
1.1%
9.7 2
2.3%
9.6 1
 
1.1%

2021-06
Real number (ℝ)

Distinct50
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.2275862
Minimum3.4
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:15.647550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.03
Q15.7
median6.7
Q39
95-th percentile10.57
Maximum11.6
Range8.2
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.034967
Coefficient of variation (CV)0.28155555
Kurtosis-0.97187288
Mean7.2275862
Median Absolute Deviation (MAD)1.4
Skewness0.21334205
Sum628.8
Variance4.1410906
MonotonicityNot monotonic
2023-12-12T21:07:15.839497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.2 6
 
6.9%
5.7 5
 
5.7%
6.7 5
 
5.7%
6.2 4
 
4.6%
5.3 4
 
4.6%
5.2 3
 
3.4%
9.0 3
 
3.4%
8.9 3
 
3.4%
8.1 2
 
2.3%
9.7 2
 
2.3%
Other values (40) 50
57.5%
ValueCountFrequency (%)
3.4 1
 
1.1%
3.8 1
 
1.1%
3.9 1
 
1.1%
4.0 2
2.3%
4.1 1
 
1.1%
4.4 1
 
1.1%
4.6 1
 
1.1%
4.7 1
 
1.1%
4.9 1
 
1.1%
5.2 3
3.4%
ValueCountFrequency (%)
11.6 1
1.1%
11.3 1
1.1%
10.7 2
2.3%
10.6 1
1.1%
10.5 1
1.1%
10.2 2
2.3%
10.0 1
1.1%
9.9 1
1.1%
9.8 2
2.3%
9.7 2
2.3%

2021-07
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1942529
Minimum3.6
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:16.015452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4
Q15.6
median6.8
Q39
95-th percentile10.44
Maximum11.5
Range7.9
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation2.0164069
Coefficient of variation (CV)0.28028024
Kurtosis-1.0320075
Mean7.1942529
Median Absolute Deviation (MAD)1.5
Skewness0.18581898
Sum625.9
Variance4.0658968
MonotonicityNot monotonic
2023-12-12T21:07:16.212187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.3 5
 
5.7%
8.9 4
 
4.6%
5.6 3
 
3.4%
9.2 3
 
3.4%
5.7 3
 
3.4%
6.7 3
 
3.4%
5.5 3
 
3.4%
5.9 3
 
3.4%
5.2 3
 
3.4%
9.3 2
 
2.3%
Other values (39) 55
63.2%
ValueCountFrequency (%)
3.6 1
 
1.1%
3.8 2
 
2.3%
3.9 1
 
1.1%
4.0 2
 
2.3%
4.4 1
 
1.1%
4.6 1
 
1.1%
4.7 1
 
1.1%
4.8 1
 
1.1%
5.2 3
3.4%
5.3 5
5.7%
ValueCountFrequency (%)
11.5 1
1.1%
10.9 1
1.1%
10.7 1
1.1%
10.6 1
1.1%
10.5 1
1.1%
10.3 1
1.1%
10.1 1
1.1%
10.0 2
2.3%
9.9 2
2.3%
9.8 1
1.1%

2021-08
Real number (ℝ)

Distinct53
Distinct (%)60.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1471264
Minimum3.5
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:16.426461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.03
Q15.5
median6.7
Q38.9
95-th percentile10.31
Maximum11.5
Range8
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation1.9915425
Coefficient of variation (CV)0.27864941
Kurtosis-0.97435923
Mean7.1471264
Median Absolute Deviation (MAD)1.4
Skewness0.22405538
Sum621.8
Variance3.9662416
MonotonicityNot monotonic
2023-12-12T21:07:16.672535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.2 4
 
4.6%
6.7 4
 
4.6%
5.5 4
 
4.6%
5.4 4
 
4.6%
6.3 3
 
3.4%
5.3 3
 
3.4%
9.7 3
 
3.4%
6.6 3
 
3.4%
9.6 3
 
3.4%
8.8 2
 
2.3%
Other values (43) 54
62.1%
ValueCountFrequency (%)
3.5 1
1.1%
3.8 1
1.1%
3.9 2
2.3%
4.0 1
1.1%
4.1 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
5.1 1
1.1%
ValueCountFrequency (%)
11.5 1
 
1.1%
11.1 1
 
1.1%
10.6 1
 
1.1%
10.5 1
 
1.1%
10.4 1
 
1.1%
10.1 1
 
1.1%
10.0 1
 
1.1%
9.9 1
 
1.1%
9.8 1
 
1.1%
9.7 3
3.4%

2021-09
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.1206897
Minimum3.4
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:16.872549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.13
Q15.6
median6.7
Q38.8
95-th percentile10.47
Maximum11.5
Range8.1
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.9677125
Coefficient of variation (CV)0.27633735
Kurtosis-0.87221072
Mean7.1206897
Median Absolute Deviation (MAD)1.4
Skewness0.25031141
Sum619.5
Variance3.8718925
MonotonicityNot monotonic
2023-12-12T21:07:17.084168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.3 5
 
5.7%
6.5 4
 
4.6%
7.1 3
 
3.4%
5.9 3
 
3.4%
9.6 3
 
3.4%
6.3 3
 
3.4%
6.1 3
 
3.4%
5.7 3
 
3.4%
10.5 3
 
3.4%
7.4 3
 
3.4%
Other values (39) 54
62.1%
ValueCountFrequency (%)
3.4 1
1.1%
3.7 1
1.1%
3.9 1
1.1%
4.0 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.4 2
2.3%
4.8 2
2.3%
5.1 1
1.1%
5.2 2
2.3%
ValueCountFrequency (%)
11.5 1
 
1.1%
11.0 1
 
1.1%
10.5 3
3.4%
10.4 2
2.3%
10.2 1
 
1.1%
9.7 1
 
1.1%
9.6 3
3.4%
9.4 2
2.3%
9.3 1
 
1.1%
9.2 2
2.3%

2021-10
Real number (ℝ)

Distinct48
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0781609
Minimum3.4
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:17.289637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.13
Q15.5
median6.7
Q38.9
95-th percentile10.37
Maximum11.5
Range8.1
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation1.9779262
Coefficient of variation (CV)0.27944069
Kurtosis-0.96232047
Mean7.0781609
Median Absolute Deviation (MAD)1.4
Skewness0.22076782
Sum615.8
Variance3.9121919
MonotonicityNot monotonic
2023-12-12T21:07:17.517894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
7.3 5
 
5.7%
5.9 4
 
4.6%
9.1 4
 
4.6%
6.5 4
 
4.6%
5.3 4
 
4.6%
5.4 3
 
3.4%
8.8 3
 
3.4%
9.3 3
 
3.4%
5.6 3
 
3.4%
5.5 3
 
3.4%
Other values (38) 51
58.6%
ValueCountFrequency (%)
3.4 1
1.1%
3.8 1
1.1%
3.9 1
1.1%
4.0 1
1.1%
4.1 1
1.1%
4.2 2
2.3%
4.3 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
ValueCountFrequency (%)
11.5 1
 
1.1%
10.8 1
 
1.1%
10.5 1
 
1.1%
10.4 2
2.3%
10.3 1
 
1.1%
10.2 2
2.3%
9.7 1
 
1.1%
9.5 2
2.3%
9.3 3
3.4%
9.2 1
 
1.1%

2021-11
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0563218
Minimum3.4
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:17.715175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.4
5-th percentile4.13
Q15.45
median6.6
Q38.85
95-th percentile10.37
Maximum11.6
Range8.2
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation1.9675685
Coefficient of variation (CV)0.27883769
Kurtosis-0.90386789
Mean7.0563218
Median Absolute Deviation (MAD)1.4
Skewness0.30238381
Sum613.9
Variance3.8713258
MonotonicityNot monotonic
2023-12-12T21:07:17.887992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.3 5
 
5.7%
6.0 4
 
4.6%
5.4 4
 
4.6%
9.0 3
 
3.4%
6.4 3
 
3.4%
9.5 3
 
3.4%
5.5 3
 
3.4%
10.3 3
 
3.4%
8.8 3
 
3.4%
9.1 3
 
3.4%
Other values (39) 53
60.9%
ValueCountFrequency (%)
3.4 1
1.1%
3.8 1
1.1%
4.0 1
1.1%
4.1 2
2.3%
4.2 1
1.1%
4.3 1
1.1%
4.6 1
1.1%
4.7 1
1.1%
4.8 2
2.3%
5.2 2
2.3%
ValueCountFrequency (%)
11.6 1
 
1.1%
10.7 2
2.3%
10.5 1
 
1.1%
10.4 1
 
1.1%
10.3 3
3.4%
9.6 1
 
1.1%
9.5 3
3.4%
9.3 1
 
1.1%
9.2 1
 
1.1%
9.1 3
3.4%

2021-12
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0126437
Minimum3.5
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:18.057358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.13
Q15.5
median6.5
Q38.75
95-th percentile10.24
Maximum11.6
Range8.1
Interquartile range (IQR)3.25

Descriptive statistics

Standard deviation1.9099985
Coefficient of variation (CV)0.27236497
Kurtosis-0.86693085
Mean7.0126437
Median Absolute Deviation (MAD)1.3
Skewness0.27089897
Sum610.1
Variance3.6480941
MonotonicityNot monotonic
2023-12-12T21:07:18.286111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.3 5
 
5.7%
6.0 5
 
5.7%
6.5 4
 
4.6%
8.8 4
 
4.6%
6.4 3
 
3.4%
5.2 3
 
3.4%
6.8 3
 
3.4%
8.9 3
 
3.4%
10.3 3
 
3.4%
7.4 2
 
2.3%
Other values (41) 52
59.8%
ValueCountFrequency (%)
3.5 1
1.1%
3.8 1
1.1%
3.9 1
1.1%
4.0 1
1.1%
4.1 1
1.1%
4.2 1
1.1%
4.4 1
1.1%
4.5 1
1.1%
4.7 1
1.1%
4.8 1
1.1%
ValueCountFrequency (%)
11.6 1
 
1.1%
10.7 1
 
1.1%
10.3 3
3.4%
10.1 2
2.3%
9.9 1
 
1.1%
9.5 1
 
1.1%
9.4 2
2.3%
9.3 1
 
1.1%
9.2 1
 
1.1%
9.1 1
 
1.1%

2022-01
Real number (ℝ)

Distinct47
Distinct (%)54.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9632184
Minimum3.5
Maximum11.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:18.484861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.2
Q15.4
median6.5
Q38.7
95-th percentile10.27
Maximum11.2
Range7.7
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.9021478
Coefficient of variation (CV)0.27317078
Kurtosis-0.93311606
Mean6.9632184
Median Absolute Deviation (MAD)1.3
Skewness0.25952824
Sum605.8
Variance3.6181663
MonotonicityNot monotonic
2023-12-12T21:07:18.680218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
5.2 7
 
8.0%
6.3 6
 
6.9%
8.7 5
 
5.7%
9.2 4
 
4.6%
8.2 4
 
4.6%
5.3 3
 
3.4%
5.6 3
 
3.4%
6.5 3
 
3.4%
7.6 2
 
2.3%
8.9 2
 
2.3%
Other values (37) 48
55.2%
ValueCountFrequency (%)
3.5 1
 
1.1%
3.7 1
 
1.1%
3.8 1
 
1.1%
4.0 1
 
1.1%
4.2 2
 
2.3%
4.3 1
 
1.1%
4.6 2
 
2.3%
4.7 1
 
1.1%
5.1 1
 
1.1%
5.2 7
8.0%
ValueCountFrequency (%)
11.2 1
 
1.1%
10.6 1
 
1.1%
10.4 1
 
1.1%
10.3 2
2.3%
10.2 1
 
1.1%
10.0 1
 
1.1%
9.9 1
 
1.1%
9.3 2
2.3%
9.2 4
4.6%
9.0 2
2.3%

2022-02
Real number (ℝ)

Distinct52
Distinct (%)59.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9988506
Minimum3.5
Maximum10.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:18.909847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.06
Q15.45
median6.6
Q38.65
95-th percentile10.2
Maximum10.8
Range7.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.8894132
Coefficient of variation (CV)0.26996051
Kurtosis-0.98184323
Mean6.9988506
Median Absolute Deviation (MAD)1.4
Skewness0.19787365
Sum608.9
Variance3.5698824
MonotonicityNot monotonic
2023-12-12T21:07:19.120852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.2 5
 
5.7%
5.5 4
 
4.6%
8.8 3
 
3.4%
6.4 3
 
3.4%
6.7 3
 
3.4%
5.4 3
 
3.4%
6.2 3
 
3.4%
7.6 2
 
2.3%
8.2 2
 
2.3%
6.5 2
 
2.3%
Other values (42) 57
65.5%
ValueCountFrequency (%)
3.5 1
1.1%
3.7 1
1.1%
3.8 1
1.1%
4.0 2
2.3%
4.2 1
1.1%
4.5 1
1.1%
4.6 1
1.1%
4.7 2
2.3%
5.0 1
1.1%
5.1 1
1.1%
ValueCountFrequency (%)
10.8 1
1.1%
10.6 1
1.1%
10.5 1
1.1%
10.3 1
1.1%
10.2 2
2.3%
10.1 1
1.1%
9.6 1
1.1%
9.4 2
2.3%
9.3 2
2.3%
9.2 1
1.1%

2022-03
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.9609195
Minimum3.6
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:19.301741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.16
Q15.4
median6.6
Q38.55
95-th percentile10.17
Maximum10.7
Range7.1
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation1.8274621
Coefficient of variation (CV)0.26253171
Kurtosis-0.91803976
Mean6.9609195
Median Absolute Deviation (MAD)1.4
Skewness0.23785313
Sum605.6
Variance3.3396177
MonotonicityNot monotonic
2023-12-12T21:07:19.848243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5 6
 
6.9%
5.4 5
 
5.7%
5.2 4
 
4.6%
8.1 4
 
4.6%
8.9 3
 
3.4%
8.6 3
 
3.4%
9.3 3
 
3.4%
6.6 3
 
3.4%
5.5 3
 
3.4%
6.2 3
 
3.4%
Other values (41) 50
57.5%
ValueCountFrequency (%)
3.6 1
1.1%
3.8 1
1.1%
3.9 1
1.1%
4.0 1
1.1%
4.1 1
1.1%
4.3 1
1.1%
4.6 1
1.1%
4.7 2
2.3%
4.9 1
1.1%
5.0 1
1.1%
ValueCountFrequency (%)
10.7 1
 
1.1%
10.6 1
 
1.1%
10.5 1
 
1.1%
10.2 2
2.3%
10.1 1
 
1.1%
9.6 1
 
1.1%
9.5 2
2.3%
9.3 3
3.4%
9.1 1
 
1.1%
9.0 1
 
1.1%

2022-04
Real number (ℝ)

Distinct46
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7
Minimum3.8
Maximum10.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:20.002001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.8
5-th percentile4.36
Q15.45
median6.6
Q38.5
95-th percentile10.2
Maximum10.8
Range7
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation1.8268667
Coefficient of variation (CV)0.26098095
Kurtosis-0.97300441
Mean7
Median Absolute Deviation (MAD)1.4
Skewness0.2827755
Sum609
Variance3.3374419
MonotonicityNot monotonic
2023-12-12T21:07:20.141358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5.2 6
 
6.9%
6.4 5
 
5.7%
5.4 4
 
4.6%
5.9 4
 
4.6%
5.5 4
 
4.6%
6.5 3
 
3.4%
8.5 3
 
3.4%
8.6 3
 
3.4%
8.3 2
 
2.3%
7.3 2
 
2.3%
Other values (36) 51
58.6%
ValueCountFrequency (%)
3.8 1
 
1.1%
3.9 1
 
1.1%
4.0 1
 
1.1%
4.2 1
 
1.1%
4.3 1
 
1.1%
4.5 2
 
2.3%
4.8 2
 
2.3%
5.1 1
 
1.1%
5.2 6
6.9%
5.3 2
 
2.3%
ValueCountFrequency (%)
10.8 1
1.1%
10.5 2
2.3%
10.3 1
1.1%
10.2 2
2.3%
9.8 1
1.1%
9.7 1
1.1%
9.5 1
1.1%
9.4 2
2.3%
9.3 2
2.3%
9.1 1
1.1%

2022-05
Real number (ℝ)

Distinct49
Distinct (%)56.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0678161
Minimum3.6
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:20.304850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.6
5-th percentile4.53
Q15.4
median6.6
Q38.55
95-th percentile10.47
Maximum10.9
Range7.3
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation1.8958028
Coefficient of variation (CV)0.26823036
Kurtosis-0.87844099
Mean7.0678161
Median Absolute Deviation (MAD)1.3
Skewness0.33512509
Sum614.9
Variance3.5940684
MonotonicityNot monotonic
2023-12-12T21:07:20.469756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
5.3 8
 
9.2%
5.4 6
 
6.9%
6.5 4
 
4.6%
5.9 4
 
4.6%
8.7 3
 
3.4%
6.2 3
 
3.4%
8.3 2
 
2.3%
8.1 2
 
2.3%
8.6 2
 
2.3%
6.8 2
 
2.3%
Other values (39) 51
58.6%
ValueCountFrequency (%)
3.6 1
 
1.1%
3.8 2
 
2.3%
4.2 1
 
1.1%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.7 1
 
1.1%
4.9 2
 
2.3%
5.1 1
 
1.1%
5.3 8
9.2%
5.4 6
6.9%
ValueCountFrequency (%)
10.9 1
1.1%
10.8 1
1.1%
10.7 1
1.1%
10.5 2
2.3%
10.4 2
2.3%
10.2 1
1.1%
10.0 1
1.1%
9.7 1
1.1%
9.6 1
1.1%
9.5 1
1.1%

2022-06
Real number (ℝ)

Distinct51
Distinct (%)58.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0643678
Minimum3.5
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:20.623471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.46
Q15.5
median6.7
Q38.55
95-th percentile10.37
Maximum10.9
Range7.4
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation1.8594183
Coefficient of variation (CV)0.26321086
Kurtosis-0.86164317
Mean7.0643678
Median Absolute Deviation (MAD)1.4
Skewness0.30261564
Sum614.6
Variance3.4574365
MonotonicityNot monotonic
2023-12-12T21:07:20.777801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5.4 5
 
5.7%
6.0 5
 
5.7%
8.7 4
 
4.6%
8.5 4
 
4.6%
5.5 4
 
4.6%
9.4 3
 
3.4%
5.2 3
 
3.4%
6.7 3
 
3.4%
8.1 3
 
3.4%
5.3 3
 
3.4%
Other values (41) 50
57.5%
ValueCountFrequency (%)
3.5 1
 
1.1%
3.8 1
 
1.1%
4.0 1
 
1.1%
4.2 1
 
1.1%
4.4 1
 
1.1%
4.6 2
 
2.3%
4.9 2
 
2.3%
5.2 3
3.4%
5.3 3
3.4%
5.4 5
5.7%
ValueCountFrequency (%)
10.9 1
1.1%
10.8 1
1.1%
10.6 1
1.1%
10.5 1
1.1%
10.4 1
1.1%
10.3 1
1.1%
10.2 1
1.1%
10.0 1
1.1%
9.8 1
1.1%
9.5 1
1.1%

2022-07
Real number (ℝ)

Distinct46
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0321839
Minimum3.5
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-12T21:07:20.927859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3.5
5-th percentile4.29
Q15.5
median6.8
Q38.6
95-th percentile10.3
Maximum10.9
Range7.4
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.8300142
Coefficient of variation (CV)0.26023413
Kurtosis-0.81331522
Mean7.0321839
Median Absolute Deviation (MAD)1.4
Skewness0.29219627
Sum611.8
Variance3.3489522
MonotonicityNot monotonic
2023-12-12T21:07:21.080105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
5.4 5
 
5.7%
6.1 4
 
4.6%
8.1 4
 
4.6%
8.7 4
 
4.6%
5.5 4
 
4.6%
5.3 4
 
4.6%
6.4 3
 
3.4%
7.1 3
 
3.4%
6.0 3
 
3.4%
9.4 3
 
3.4%
Other values (36) 50
57.5%
ValueCountFrequency (%)
3.5 1
 
1.1%
3.8 1
 
1.1%
4.0 1
 
1.1%
4.2 2
 
2.3%
4.5 1
 
1.1%
4.6 1
 
1.1%
4.9 2
 
2.3%
5.2 2
 
2.3%
5.3 4
4.6%
5.4 5
5.7%
ValueCountFrequency (%)
10.9 2
2.3%
10.4 2
2.3%
10.3 2
2.3%
10.2 1
 
1.1%
9.6 1
 
1.1%
9.4 3
3.4%
9.3 1
 
1.1%
9.2 1
 
1.1%
9.1 1
 
1.1%
9.0 1
 
1.1%

Sample

지역_규모2011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국_30㎡이하11.311.311.311.311.311.311.211.010.910.810.810.710.810.810.910.810.710.810.710.710.610.610.510.610.710.810.810.810.810.810.710.710.610.610.510.610.610.710.710.710.710.710.610.410.310.310.310.310.410.510.610.710.710.710.710.610.610.510.410.410.410.410.410.410.410.310.310.210.110.110.110.010.010.010.09.99.89.89.79.69.69.59.49.49.39.29.29.29.39.39.29.19.29.19.08.88.89.08.98.98.98.98.98.88.88.78.68.48.58.58.58.58.58.48.48.38.28.28.18.28.08.18.18.18.08.18.18.07.97.87.77.77.67.77.77.77.87.87.8
1전국_30㎡초과 60㎡이하10.710.710.710.710.710.710.610.610.410.310.210.210.210.110.210.210.210.110.110.110.110.09.99.99.99.99.99.910.09.99.89.79.69.69.59.59.59.59.59.49.49.39.29.19.09.09.09.09.09.09.08.98.98.88.78.68.58.58.48.38.38.48.48.38.38.38.28.28.18.08.07.97.98.07.97.97.87.87.77.77.67.57.57.57.57.57.67.57.57.57.57.47.47.37.37.37.37.47.47.47.47.47.47.37.37.27.27.17.07.17.17.17.07.06.96.96.96.86.86.76.76.86.86.86.76.76.76.76.66.66.66.56.56.66.66.76.86.76.8
2전국_60㎡초과8.68.68.68.68.68.68.58.48.38.28.28.28.28.28.28.28.18.18.08.07.97.97.87.87.97.98.07.97.97.87.77.87.67.67.47.47.57.47.47.47.47.47.37.27.17.17.07.07.07.07.07.06.96.96.86.76.66.56.46.46.36.26.26.26.26.26.26.16.06.05.95.95.95.85.85.95.95.95.95.95.85.85.75.85.75.75.65.65.65.65.65.65.55.45.55.55.55.45.45.55.55.55.55.65.55.45.45.45.45.45.45.45.45.45.45.45.35.35.35.25.25.25.15.15.15.25.25.25.35.25.35.25.25.25.25.25.35.35.4
3수도권_30㎡이하10.610.610.610.610.610.610.510.410.310.210.210.210.210.210.210.110.110.210.210.210.110.110.010.010.010.210.210.110.110.010.010.09.99.99.89.910.010.010.110.010.010.010.09.89.89.79.89.79.89.910.010.010.110.110.110.110.09.99.89.79.79.79.69.79.69.69.69.59.49.49.39.39.29.39.29.29.19.09.08.98.88.88.68.68.58.48.48.48.58.58.48.48.58.38.28.18.18.18.07.97.98.08.07.97.97.87.87.67.57.67.57.57.57.47.57.47.47.47.37.37.17.17.17.17.17.27.27.27.17.06.96.86.76.86.86.97.07.17.1
4수도권_30㎡초과 60㎡이하9.99.99.99.99.99.99.99.89.79.69.69.69.59.49.39.49.39.39.39.39.39.29.29.19.19.19.09.09.09.08.98.98.88.88.78.78.78.68.68.58.48.48.48.48.38.38.28.28.18.18.07.97.97.97.97.87.77.77.67.57.57.57.47.47.47.47.47.37.37.27.17.17.06.96.96.96.96.96.86.96.86.76.76.66.66.66.66.66.66.66.66.66.66.66.56.56.56.46.56.56.56.56.56.56.46.46.36.36.26.16.16.16.16.16.16.16.06.06.06.05.95.95.95.95.95.95.95.95.95.95.95.85.85.85.85.96.06.06.0
5수도권_60㎡초과7.97.97.97.97.97.97.97.97.97.87.77.67.67.67.57.57.47.47.47.47.47.37.27.37.37.37.27.27.37.27.27.27.17.06.96.96.96.86.86.86.86.76.76.76.66.56.46.46.46.36.26.26.16.16.06.06.05.95.85.75.65.55.45.55.55.55.55.55.55.45.35.25.25.15.15.15.25.25.25.35.25.25.25.35.25.15.05.05.05.05.05.05.05.05.05.04.94.94.94.95.05.05.05.05.04.94.84.84.94.94.94.94.84.94.84.84.84.84.84.84.74.74.54.54.64.64.74.74.84.74.84.74.64.64.74.84.94.94.9
6지방_30㎡이하12.512.512.512.512.512.512.412.412.112.012.012.012.012.012.012.012.012.012.012.012.011.812.012.012.012.012.012.012.012.012.012.012.012.012.011.811.711.911.811.911.811.811.711.411.511.311.311.311.511.611.611.811.911.911.811.811.911.911.811.811.911.711.711.711.711.811.711.811.711.711.611.711.611.611.411.411.311.311.211.211.211.211.211.111.111.011.111.011.011.011.010.910.910.910.710.610.610.810.810.810.810.910.910.810.710.710.610.210.410.410.410.410.310.310.210.110.010.010.09.99.99.89.89.89.79.89.89.79.69.59.69.49.39.39.39.49.59.59.4
7지방_30㎡초과 60㎡이하12.512.512.512.512.512.512.412.412.212.112.012.012.012.011.912.012.011.911.911.811.711.711.611.611.511.611.611.611.711.711.711.511.411.311.211.211.211.111.211.111.011.010.910.810.710.710.710.710.610.710.610.610.610.510.410.210.210.210.010.010.110.110.110.110.010.110.09.99.99.89.89.89.79.89.89.89.89.89.89.69.69.69.69.69.69.59.69.69.69.59.59.49.49.39.39.29.29.39.39.39.39.39.49.29.29.29.19.09.09.19.19.19.09.09.08.98.88.78.88.78.78.78.88.88.78.68.58.48.38.28.28.28.18.18.18.18.28.18.1
8지방_60㎡초과9.89.89.89.89.89.89.69.49.39.19.19.19.29.29.29.29.29.39.09.08.98.88.78.78.88.99.08.98.88.68.68.68.48.48.38.38.38.28.38.28.38.38.28.18.07.97.87.87.87.87.97.97.97.97.87.67.57.47.37.27.27.27.37.27.17.17.27.06.97.07.07.06.96.96.97.06.96.97.06.96.86.76.66.66.66.56.56.66.66.66.56.56.56.46.26.26.26.26.26.46.46.46.46.46.46.36.36.36.26.16.16.26.26.36.46.36.36.26.26.16.06.06.16.06.16.26.16.16.16.06.06.05.96.06.05.95.96.06.0
95대광역시_30㎡이하12.012.012.012.012.012.012.012.012.011.812.011.812.012.012.012.012.011.912.011.911.711.311.411.611.611.712.012.012.012.011.811.511.411.311.211.311.411.411.411.311.311.311.310.910.910.810.910.810.910.911.011.111.311.111.111.011.111.110.911.111.111.010.911.011.011.111.011.011.211.111.111.111.010.910.710.610.510.710.610.610.510.510.510.310.210.310.310.310.310.310.410.310.310.29.99.89.910.110.110.210.210.310.310.110.09.99.79.39.69.69.59.79.69.69.59.49.49.29.18.99.09.08.98.98.89.08.98.78.58.68.58.38.38.48.48.48.58.58.4
지역_규모2011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
77전남_60㎡초과11.911.911.911.911.911.913.913.813.913.411.59.89.510.311.010.911.29.69.410.311.710.19.810.39.710.710.010.810.010.010.410.810.110.011.210.310.010.311.710.410.09.99.69.68.29.39.58.68.09.010.110.610.69.99.58.98.07.98.48.28.48.47.66.96.96.97.67.67.97.17.57.97.39.18.78.27.87.67.97.08.18.28.17.88.77.87.17.77.67.97.47.67.47.67.77.97.98.27.07.37.97.98.07.47.67.97.47.77.37.86.97.07.37.37.27.37.77.87.87.47.67.16.66.66.87.17.57.27.77.36.07.47.67.87.47.27.67.17.0
78경북_30㎡이하13.813.813.813.813.813.814.114.314.414.414.413.813.713.813.813.613.313.313.313.412.913.013.113.113.012.912.912.813.013.213.713.913.414.113.613.012.012.612.312.512.512.412.912.412.712.212.412.713.113.113.113.213.213.113.213.113.213.313.113.213.213.012.912.812.812.512.713.313.413.213.413.413.012.812.812.912.612.312.912.912.812.913.012.512.212.012.012.012.212.212.612.512.612.712.612.512.112.012.412.512.512.112.412.412.412.312.412.612.412.312.212.412.112.012.012.011.611.712.011.811.811.611.811.611.511.611.511.511.511.511.611.611.210.810.710.810.910.910.9
79경북_30㎡초과 60㎡이하14.714.714.714.714.714.714.714.914.714.714.414.014.214.413.613.413.613.213.213.213.213.613.813.513.613.413.513.113.113.113.313.112.912.912.912.812.612.512.412.012.212.112.312.412.212.412.012.011.812.012.012.012.012.012.012.011.911.711.611.311.611.511.611.511.611.611.511.311.311.110.910.811.011.511.311.411.711.411.611.311.411.611.411.411.411.511.311.411.311.311.111.111.011.011.211.311.311.411.411.311.311.411.311.211.211.111.310.910.911.010.810.710.510.510.310.210.110.310.610.310.610.510.710.510.310.210.110.09.79.59.59.59.29.49.39.39.69.49.2
80경북_60㎡초과13.113.113.113.113.113.112.012.912.311.912.011.811.811.511.311.211.011.010.911.211.911.611.611.110.711.011.311.611.210.39.910.29.99.79.510.09.89.610.010.29.29.29.28.99.39.09.79.49.69.49.18.68.59.09.18.88.59.08.48.28.38.48.27.97.88.08.18.38.48.88.98.78.38.08.08.38.07.98.38.18.48.38.08.17.98.07.88.88.68.27.68.08.37.77.77.37.78.08.08.48.07.97.47.87.67.17.47.77.27.17.17.16.67.27.27.87.57.37.47.57.47.77.97.57.47.47.67.27.17.27.07.27.17.26.97.37.47.67.5
81경남_30㎡이하12.012.012.012.012.012.011.611.110.810.710.510.610.710.510.410.310.510.410.310.310.410.610.710.410.310.410.610.710.710.710.410.610.911.011.110.710.510.510.610.710.610.610.510.510.510.310.310.310.410.610.610.810.910.911.111.211.311.511.611.411.511.411.211.211.311.311.411.411.011.311.111.111.311.511.411.210.911.010.710.510.510.610.810.811.011.011.110.910.910.710.310.310.310.110.310.210.010.910.810.810.811.010.910.710.810.810.610.210.610.710.610.310.210.19.99.89.59.59.79.810.09.910.410.610.710.710.510.110.510.210.310.110.410.310.110.310.710.510.3
82경남_30㎡초과 60㎡이하12.112.112.112.112.112.112.012.011.711.611.211.411.211.111.011.211.211.311.211.111.111.111.211.010.710.810.910.911.111.011.111.111.010.710.610.710.610.510.510.510.310.410.310.410.210.310.310.510.410.310.310.310.310.110.09.99.99.99.69.79.89.99.89.79.79.89.79.69.59.59.49.49.39.39.49.49.49.49.39.29.29.29.49.59.79.59.69.59.49.49.29.29.19.19.39.29.19.29.29.19.29.29.49.29.39.39.49.39.39.39.29.39.39.39.18.98.98.78.98.88.89.09.19.09.08.98.98.78.78.89.08.98.78.99.09.18.98.88.7
83경남_60㎡초과8.08.08.08.08.08.07.97.77.27.17.27.07.27.27.37.67.37.67.77.77.67.37.27.17.27.17.27.16.86.86.86.86.77.06.86.76.66.56.46.56.46.76.76.66.76.66.76.86.76.86.66.56.16.16.06.06.05.96.36.46.56.45.95.85.75.75.95.85.85.95.96.36.06.16.16.05.95.96.26.16.06.05.95.96.16.15.95.75.75.75.95.75.85.65.75.75.65.55.65.95.75.65.75.55.75.65.85.95.75.75.75.85.85.85.75.75.65.75.86.06.16.16.26.16.36.05.95.85.95.86.06.06.26.06.15.95.95.96.1
84제주_30㎡이하14.714.714.714.714.714.714.714.614.516.015.45.78.18.79.811.110.316.718.811.0<NA>12.112.17.97.95.15.15.15.1<NA>3.33.77.412.519.119.119.13.16.46.46.46.46.56.9<NA><NA><NA><NA>10.312.011.211.210.310.09.87.25.25.26.48.28.28.49.810.79.89.79.79.710.27.48.89.811.18.98.910.511.09.79.310.410.011.611.47.98.17.47.77.67.36.05.66.68.18.18.28.69.09.18.89.49.48.78.47.89.09.28.47.89.58.99.27.87.27.87.68.07.97.58.88.48.88.98.17.47.37.37.07.27.18.88.88.89.39.47.98.58.68.58.1
85제주_30㎡초과 60㎡이하8.88.88.88.88.88.88.911.610.09.411.012.213.212.311.010.310.19.711.18.98.08.49.08.29.310.710.310.410.912.412.612.412.210.68.98.78.38.69.48.69.09.79.38.48.18.17.910.711.311.211.210.49.09.010.610.212.211.110.79.910.09.410.710.48.58.58.59.38.88.38.18.08.27.46.97.37.27.27.27.77.57.66.56.16.06.36.36.56.96.86.86.86.96.96.97.06.65.97.06.96.86.86.97.37.07.46.96.56.46.56.46.86.96.96.86.86.66.36.46.16.16.26.15.76.26.16.56.26.66.76.96.86.96.76.66.86.56.76.5
86제주_60㎡초과8.68.68.68.68.68.68.07.47.69.19.810.010.09.99.28.99.69.28.98.98.57.77.87.88.18.18.57.67.57.47.78.88.610.49.99.47.67.67.77.47.47.07.98.08.18.68.29.08.58.87.87.47.27.66.96.57.27.07.56.56.17.06.15.65.66.06.46.06.27.26.87.26.66.66.66.86.56.76.46.56.36.56.36.35.75.65.85.85.45.65.55.75.86.46.05.85.85.75.86.46.56.46.36.46.46.15.95.75.45.55.75.65.75.76.05.86.05.75.15.15.35.65.75.65.95.85.75.45.35.45.45.05.35.45.45.35.35.45.3