Overview

Dataset statistics

Number of variables140
Number of observations29
Missing cells18
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory35.8 KiB
Average record size in memory1.2 KiB

Variable types

Text1
Numeric139

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 전국주택가격동향조사 중 단독주택 지역별 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/15047773/fileData.do

Alerts

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

Reproduction

Analysis started2023-12-12 01:13:10.350075
Analysis finished2023-12-12 01:13:12.129010
Duration1.78 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T10:13:12.250216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length6.2413793
Min length5

Characters and Unicode

Total characters181
Distinct characters37
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row전국 단독
2nd row수도권 단독
3rd row지방 단독
4th row5대광역시 단독
5th row8개시도 단독
ValueCountFrequency (%)
단독 29
44.6%
서울 8
 
12.3%
전국 1
 
1.5%
인천 1
 
1.5%
경남 1
 
1.5%
경북 1
 
1.5%
전남 1
 
1.5%
전북 1
 
1.5%
충남 1
 
1.5%
충북 1
 
1.5%
Other values (20) 20
30.8%
2023-12-12T10:13:12.635463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
19.9%
29
16.0%
29
16.0%
10
 
5.5%
9
 
5.0%
6
 
3.3%
6
 
3.3%
6
 
3.3%
4
 
2.2%
3
 
1.7%
Other values (27) 43
23.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143
79.0%
Space Separator 36
 
19.9%
Decimal Number 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
29
20.3%
29
20.3%
10
 
7.0%
9
 
6.3%
6
 
4.2%
6
 
4.2%
6
 
4.2%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (24) 38
26.6%
Decimal Number
ValueCountFrequency (%)
5 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
36
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 143
79.0%
Common 38
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
20.3%
29
20.3%
10
 
7.0%
9
 
6.3%
6
 
4.2%
6
 
4.2%
6
 
4.2%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (24) 38
26.6%
Common
ValueCountFrequency (%)
36
94.7%
5 1
 
2.6%
8 1
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 143
79.0%
ASCII 38
 
21.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
94.7%
5 1
 
2.6%
8 1
 
2.6%
Hangul
ValueCountFrequency (%)
29
20.3%
29
20.3%
10
 
7.0%
9
 
6.3%
6
 
4.2%
6
 
4.2%
6
 
4.2%
4
 
2.8%
3
 
2.1%
3
 
2.1%
Other values (24) 38
26.6%

2011-01
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:12.814344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:13.000748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-02
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:13.155396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:13.346632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-03
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:13.533775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:13.700265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-04
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:13.849980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:13.985733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-05
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:14.134300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:14.296891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-06
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.207143
Minimum8.4
Maximum14.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:14.439581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.4
5-th percentile8.835
Q19.45
median10.85
Q313.025
95-th percentile14.13
Maximum14.7
Range6.3
Interquartile range (IQR)3.575

Descriptive statistics

Standard deviation1.9269874
Coefficient of variation (CV)0.17194279
Kurtosis-1.2958632
Mean11.207143
Median Absolute Deviation (MAD)1.7
Skewness0.28111691
Sum313.8
Variance3.7132804
MonotonicityNot monotonic
2023-12-12T10:13:14.593539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.2 2
 
6.9%
9.1 2
 
6.9%
9.8 2
 
6.9%
14.7 1
 
3.4%
8.9 1
 
3.4%
11.2 1
 
3.4%
14.2 1
 
3.4%
13.9 1
 
3.4%
12.7 1
 
3.4%
13.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.4 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 2
6.9%
9.2 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
10.1 1
3.4%
10.5 1
3.4%
ValueCountFrequency (%)
14.7 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.9 1
3.4%
13.2 2
6.9%
13.1 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.0 1
3.4%

2011-07
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.078571
Minimum8.3
Maximum14.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:14.755185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.3
5-th percentile8.735
Q19.45
median10.85
Q312.825
95-th percentile14.025
Maximum14.4
Range6.1
Interquartile range (IQR)3.375

Descriptive statistics

Standard deviation1.8657452
Coefficient of variation (CV)0.16841027
Kurtosis-1.2449174
Mean11.078571
Median Absolute Deviation (MAD)1.65
Skewness0.26147602
Sum310.2
Variance3.4810053
MonotonicityNot monotonic
2023-12-12T10:13:14.913203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12.0 2
 
6.9%
9.0 2
 
6.9%
9.7 2
 
6.9%
10.4 1
 
3.4%
10.9 1
 
3.4%
8.8 1
 
3.4%
11.0 1
 
3.4%
14.2 1
 
3.4%
13.6 1
 
3.4%
13.0 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.3 1
3.4%
8.7 1
3.4%
8.8 1
3.4%
9.0 2
6.9%
9.1 1
3.4%
9.3 1
3.4%
9.5 1
3.4%
9.7 2
6.9%
10.0 1
3.4%
10.4 1
3.4%
ValueCountFrequency (%)
14.4 1
3.4%
14.2 1
3.4%
13.7 1
3.4%
13.6 1
3.4%
13.1 1
3.4%
13.0 1
3.4%
12.9 1
3.4%
12.8 1
3.4%
12.4 1
3.4%
12.0 2
6.9%

2011-08
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)71.4%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean11.025
Minimum8.1
Maximum14.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:15.054192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.1
5-th percentile8.44
Q19.475
median10.8
Q312.825
95-th percentile14.4
Maximum14.4
Range6.3
Interquartile range (IQR)3.35

Descriptive statistics

Standard deviation1.98039
Coefficient of variation (CV)0.17962721
Kurtosis-1.1375919
Mean11.025
Median Absolute Deviation (MAD)1.8
Skewness0.29805804
Sum308.7
Variance3.9219444
MonotonicityNot monotonic
2023-12-12T10:13:15.198156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.8 3
 
10.3%
14.4 3
 
10.3%
9.6 3
 
10.3%
8.9 2
 
6.9%
13.1 2
 
6.9%
10.3 1
 
3.4%
12.9 1
 
3.4%
8.1 1
 
3.4%
12.0 1
 
3.4%
13.5 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
8.1 1
 
3.4%
8.3 1
 
3.4%
8.7 1
 
3.4%
8.8 1
 
3.4%
8.9 2
6.9%
9.1 1
 
3.4%
9.6 3
10.3%
9.9 1
 
3.4%
10.3 1
 
3.4%
10.7 1
 
3.4%
ValueCountFrequency (%)
14.4 3
10.3%
13.5 1
 
3.4%
13.1 2
6.9%
12.9 1
 
3.4%
12.8 1
 
3.4%
12.2 1
 
3.4%
12.0 1
 
3.4%
11.9 1
 
3.4%
11.1 1
 
3.4%
10.8 3
10.3%

2011-09
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)75.0%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.928571
Minimum8.1
Maximum14.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:15.344073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8.1
5-th percentile8.57
Q19.3
median10.5
Q312.6
95-th percentile14.365
Maximum14.9
Range6.8
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation2.0029344
Coefficient of variation (CV)0.18327504
Kurtosis-0.95907893
Mean10.928571
Median Absolute Deviation (MAD)1.5
Skewness0.47739078
Sum306
Variance4.011746
MonotonicityNot monotonic
2023-12-12T10:13:15.482780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9.5 3
 
10.3%
12.6 2
 
6.9%
10.5 2
 
6.9%
12.0 2
 
6.9%
8.8 2
 
6.9%
9.0 2
 
6.9%
10.4 1
 
3.4%
14.3 1
 
3.4%
14.9 1
 
3.4%
13.0 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
8.1 1
 
3.4%
8.5 1
 
3.4%
8.7 1
 
3.4%
8.8 2
6.9%
9.0 2
6.9%
9.4 1
 
3.4%
9.5 3
10.3%
10.1 1
 
3.4%
10.4 1
 
3.4%
10.5 2
6.9%
ValueCountFrequency (%)
14.9 1
3.4%
14.4 1
3.4%
14.3 1
3.4%
13.5 1
3.4%
13.1 1
3.4%
13.0 1
3.4%
12.6 2
6.9%
12.0 2
6.9%
11.6 1
3.4%
10.9 1
3.4%

2011-10
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.832143
Minimum8
Maximum14.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:15.614220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.47
Q19.275
median10.45
Q312.55
95-th percentile14.13
Maximum14.5
Range6.5
Interquartile range (IQR)3.275

Descriptive statistics

Standard deviation1.9580893
Coefficient of variation (CV)0.18076657
Kurtosis-1.1042221
Mean10.832143
Median Absolute Deviation (MAD)1.55
Skewness0.41336599
Sum303.3
Variance3.8341138
MonotonicityNot monotonic
2023-12-12T10:13:15.808702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12.0 2
 
6.9%
8.7 2
 
6.9%
13.0 2
 
6.9%
9.3 2
 
6.9%
10.0 1
 
3.4%
12.7 1
 
3.4%
10.3 1
 
3.4%
14.2 1
 
3.4%
14.5 1
 
3.4%
13.3 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
8.0 1
3.4%
8.4 1
3.4%
8.6 1
3.4%
8.7 2
6.9%
9.0 1
3.4%
9.2 1
3.4%
9.3 2
6.9%
9.4 1
3.4%
9.5 1
3.4%
10.0 1
3.4%
ValueCountFrequency (%)
14.5 1
3.4%
14.2 1
3.4%
14.0 1
3.4%
13.3 1
3.4%
13.0 2
6.9%
12.7 1
3.4%
12.5 1
3.4%
12.0 2
6.9%
11.4 1
3.4%
10.8 1
3.4%

2011-11
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.789286
Minimum8
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:15.955626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.47
Q19.1
median10.45
Q312.425
95-th percentile13.69
Maximum14
Range6
Interquartile range (IQR)3.325

Descriptive statistics

Standard deviation1.8537928
Coefficient of variation (CV)0.17181793
Kurtosis-1.2568829
Mean10.789286
Median Absolute Deviation (MAD)1.6
Skewness0.24671403
Sum302.1
Variance3.4365476
MonotonicityNot monotonic
2023-12-12T10:13:16.109453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
12.0 2
 
6.9%
8.6 2
 
6.9%
9.1 2
 
6.9%
10.0 1
 
3.4%
10.5 1
 
3.4%
11.0 1
 
3.4%
10.1 1
 
3.4%
14.0 1
 
3.4%
13.3 1
 
3.4%
12.9 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.0 1
3.4%
8.4 1
3.4%
8.6 2
6.9%
8.7 1
3.4%
8.8 1
3.4%
9.1 2
6.9%
9.4 1
3.4%
9.6 1
3.4%
10.0 1
3.4%
10.1 1
3.4%
ValueCountFrequency (%)
14.0 1
3.4%
13.9 1
3.4%
13.3 1
3.4%
13.2 1
3.4%
13.1 1
3.4%
12.9 1
3.4%
12.5 1
3.4%
12.4 1
3.4%
12.0 2
6.9%
11.4 1
3.4%

2011-12
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.732143
Minimum8
Maximum13.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:16.284805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.535
Q19.2
median10.45
Q312.4
95-th percentile13.53
Maximum13.7
Range5.7
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.8010395
Coefficient of variation (CV)0.16781733
Kurtosis-1.2899424
Mean10.732143
Median Absolute Deviation (MAD)1.55
Skewness0.25716352
Sum300.5
Variance3.2437434
MonotonicityNot monotonic
2023-12-12T10:13:16.441045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9.2 3
 
10.3%
8.6 2
 
6.9%
8.8 2
 
6.9%
12.4 2
 
6.9%
9.9 1
 
3.4%
10.3 1
 
3.4%
10.9 1
 
3.4%
10.2 1
 
3.4%
13.7 1
 
3.4%
13.1 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
8.0 1
 
3.4%
8.5 1
 
3.4%
8.6 2
6.9%
8.8 2
6.9%
9.2 3
10.3%
9.3 1
 
3.4%
9.9 1
 
3.4%
10.2 1
 
3.4%
10.3 1
 
3.4%
10.4 1
 
3.4%
ValueCountFrequency (%)
13.7 1
3.4%
13.6 1
3.4%
13.4 1
3.4%
13.2 1
3.4%
13.1 1
3.4%
12.8 1
3.4%
12.4 2
6.9%
11.9 1
3.4%
11.6 1
3.4%
11.3 1
3.4%

2012-01
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.746429
Minimum8
Maximum13.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:16.571344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.535
Q19
median10.45
Q312.425
95-th percentile13.565
Maximum13.6
Range5.6
Interquartile range (IQR)3.425

Descriptive statistics

Standard deviation1.8136279
Coefficient of variation (CV)0.16876564
Kurtosis-1.3683292
Mean10.746429
Median Absolute Deviation (MAD)1.6
Skewness0.20215108
Sum300.9
Variance3.289246
MonotonicityNot monotonic
2023-12-12T10:13:16.728020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
13.6 2
 
6.9%
8.7 2
 
6.9%
9.0 2
 
6.9%
10.0 1
 
3.4%
11.0 1
 
3.4%
10.2 1
 
3.4%
12.8 1
 
3.4%
12.0 1
 
3.4%
13.0 1
 
3.4%
13.5 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.0 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
8.7 2
6.9%
8.8 1
3.4%
9.0 2
6.9%
9.2 1
3.4%
9.4 1
3.4%
10.0 1
3.4%
10.2 1
3.4%
ValueCountFrequency (%)
13.6 2
6.9%
13.5 1
3.4%
13.1 1
3.4%
13.0 1
3.4%
12.8 1
3.4%
12.5 1
3.4%
12.4 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.4 1
3.4%

2012-02
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.660714
Minimum8
Maximum13.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:16.912944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.47
Q19.075
median10.3
Q312.1
95-th percentile13.56
Maximum13.9
Range5.9
Interquartile range (IQR)3.025

Descriptive statistics

Standard deviation1.7953312
Coefficient of variation (CV)0.16840628
Kurtosis-1.2016751
Mean10.660714
Median Absolute Deviation (MAD)1.55
Skewness0.30615442
Sum298.5
Variance3.2232143
MonotonicityNot monotonic
2023-12-12T10:13:17.078473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10.0 2
 
6.9%
8.6 2
 
6.9%
12.7 2
 
6.9%
10.9 1
 
3.4%
13.9 1
 
3.4%
10.4 1
 
3.4%
13.7 1
 
3.4%
12.0 1
 
3.4%
11.9 1
 
3.4%
13.3 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.0 1
3.4%
8.4 1
3.4%
8.6 2
6.9%
8.7 1
3.4%
8.8 1
3.4%
9.0 1
3.4%
9.1 1
3.4%
9.2 1
3.4%
9.3 1
3.4%
10.0 2
6.9%
ValueCountFrequency (%)
13.9 1
3.4%
13.7 1
3.4%
13.3 1
3.4%
13.0 1
3.4%
12.7 2
6.9%
12.4 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.7 1
3.4%
11.3 1
3.4%

2012-03
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.65
Minimum8
Maximum13.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:17.206533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.535
Q19.05
median10.2
Q312.1
95-th percentile13.53
Maximum13.9
Range5.9
Interquartile range (IQR)3.05

Descriptive statistics

Standard deviation1.7841898
Coefficient of variation (CV)0.16752956
Kurtosis-1.2135794
Mean10.65
Median Absolute Deviation (MAD)1.4
Skewness0.32937384
Sum298.2
Variance3.1833333
MonotonicityNot monotonic
2023-12-12T10:13:17.351723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10.0 2
 
6.9%
12.7 2
 
6.9%
8.8 2
 
6.9%
10.2 2
 
6.9%
9.8 1
 
3.4%
13.4 1
 
3.4%
12.0 1
 
3.4%
11.8 1
 
3.4%
12.9 1
 
3.4%
13.6 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
8.0 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.8 2
6.9%
8.9 1
3.4%
9.1 1
3.4%
9.2 1
3.4%
9.3 1
3.4%
9.8 1
3.4%
ValueCountFrequency (%)
13.9 1
3.4%
13.6 1
3.4%
13.4 1
3.4%
12.9 1
3.4%
12.7 2
6.9%
12.4 1
3.4%
12.0 1
3.4%
11.8 1
3.4%
11.6 1
3.4%
11.4 1
3.4%

2012-04
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)89.3%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.610714
Minimum8
Maximum13.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:17.517282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.47
Q19.05
median10.1
Q312.225
95-th percentile13.525
Maximum13.8
Range5.8
Interquartile range (IQR)3.175

Descriptive statistics

Standard deviation1.7812479
Coefficient of variation (CV)0.16787257
Kurtosis-1.2537798
Mean10.610714
Median Absolute Deviation (MAD)1.45
Skewness0.3140946
Sum297.1
Variance3.1728439
MonotonicityNot monotonic
2023-12-12T10:13:17.694398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10.0 2
 
6.9%
8.6 2
 
6.9%
12.7 2
 
6.9%
12.2 1
 
3.4%
9.7 1
 
3.4%
13.2 1
 
3.4%
12.3 1
 
3.4%
12.0 1
 
3.4%
13.7 1
 
3.4%
10.2 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
8.0 1
3.4%
8.4 1
3.4%
8.6 2
6.9%
8.7 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.1 1
3.4%
9.2 1
3.4%
9.3 1
3.4%
9.7 1
3.4%
ValueCountFrequency (%)
13.8 1
3.4%
13.7 1
3.4%
13.2 1
3.4%
12.7 2
6.9%
12.5 1
3.4%
12.3 1
3.4%
12.2 1
3.4%
12.0 1
3.4%
11.7 1
3.4%
11.3 1
3.4%

2012-05
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)82.1%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.610714
Minimum8
Maximum13.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:17.854607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.435
Q19.1
median10.4
Q312.05
95-th percentile13.525
Maximum13.8
Range5.8
Interquartile range (IQR)2.95

Descriptive statistics

Standard deviation1.7747904
Coefficient of variation (CV)0.16726399
Kurtosis-1.2091453
Mean10.610714
Median Absolute Deviation (MAD)1.6
Skewness0.27114477
Sum297.1
Variance3.149881
MonotonicityNot monotonic
2023-12-12T10:13:18.012681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10.0 2
 
6.9%
8.6 2
 
6.9%
12.0 2
 
6.9%
9.2 2
 
6.9%
12.5 2
 
6.9%
11.7 1
 
3.4%
10.7 1
 
3.4%
9.7 1
 
3.4%
13.2 1
 
3.4%
11.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
8.0 1
3.4%
8.4 1
3.4%
8.5 1
3.4%
8.6 2
6.9%
8.7 1
3.4%
8.8 1
3.4%
9.2 2
6.9%
9.3 1
3.4%
9.7 1
3.4%
10.0 2
6.9%
ValueCountFrequency (%)
13.8 1
3.4%
13.7 1
3.4%
13.2 1
3.4%
12.8 1
3.4%
12.5 2
6.9%
12.2 1
3.4%
12.0 2
6.9%
11.7 1
3.4%
11.3 1
3.4%
10.9 1
3.4%

2012-06
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)85.7%
Missing1
Missing (%)3.4%
Infinite0
Infinite (%)0.0%
Mean10.557143
Minimum8
Maximum13.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:18.179456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.37
Q18.925
median10.25
Q312.15
95-th percentile13.325
Maximum13.6
Range5.6
Interquartile range (IQR)3.225

Descriptive statistics

Standard deviation1.7626639
Coefficient of variation (CV)0.16696411
Kurtosis-1.3408873
Mean10.557143
Median Absolute Deviation (MAD)1.6
Skewness0.22172381
Sum295.6
Variance3.1069841
MonotonicityNot monotonic
2023-12-12T10:13:18.335076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.5 2
 
6.9%
8.7 2
 
6.9%
12.1 2
 
6.9%
9.2 2
 
6.9%
9.9 1
 
3.4%
10.3 1
 
3.4%
9.7 1
 
3.4%
10.1 1
 
3.4%
13.0 1
 
3.4%
12.4 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
8.0 1
3.4%
8.3 1
3.4%
8.5 2
6.9%
8.6 1
3.4%
8.7 2
6.9%
9.0 1
3.4%
9.2 2
6.9%
9.7 1
3.4%
9.9 1
3.4%
10.1 1
3.4%
ValueCountFrequency (%)
13.6 1
3.4%
13.5 1
3.4%
13.0 1
3.4%
12.7 1
3.4%
12.5 1
3.4%
12.4 1
3.4%
12.3 1
3.4%
12.1 2
6.9%
11.7 1
3.4%
11.3 1
3.4%

2012-07
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.851724
Minimum8
Maximum20.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:18.453968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.38
Q19
median10.3
Q312.2
95-th percentile13.54
Maximum20.3
Range12.3
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation2.4966579
Coefficient of variation (CV)0.23007016
Kurtosis6.2134497
Mean10.851724
Median Absolute Deviation (MAD)1.6
Skewness1.9614294
Sum314.7
Variance6.2333005
MonotonicityNot monotonic
2023-12-12T10:13:18.576999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8.5 2
 
6.9%
8.7 2
 
6.9%
9.2 2
 
6.9%
9.9 1
 
3.4%
10.3 1
 
3.4%
9.6 1
 
3.4%
10.0 1
 
3.4%
13.0 1
 
3.4%
11.8 1
 
3.4%
12.0 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
8.0 1
3.4%
8.3 1
3.4%
8.5 2
6.9%
8.6 1
3.4%
8.7 2
6.9%
9.0 1
3.4%
9.2 2
6.9%
9.6 1
3.4%
9.9 1
3.4%
10.0 1
3.4%
ValueCountFrequency (%)
20.3 1
3.4%
13.7 1
3.4%
13.3 1
3.4%
13.0 1
3.4%
12.8 1
3.4%
12.6 1
3.4%
12.3 1
3.4%
12.2 1
3.4%
12.0 1
3.4%
11.8 1
3.4%

2012-08
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.462069
Minimum8
Maximum13.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:18.692733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.3
Q18.9
median10.3
Q312.1
95-th percentile13
Maximum13.5
Range5.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7366663
Coefficient of variation (CV)0.16599645
Kurtosis-1.3972324
Mean10.462069
Median Absolute Deviation (MAD)1.7
Skewness0.18917122
Sum303.4
Variance3.0160099
MonotonicityNot monotonic
2023-12-12T10:13:18.802600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.9 2
 
6.9%
11.1 2
 
6.9%
13.0 2
 
6.9%
8.3 2
 
6.9%
12.4 2
 
6.9%
12.1 1
 
3.4%
10.0 1
 
3.4%
12.0 1
 
3.4%
12.3 1
 
3.4%
12.7 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
8.0 1
3.4%
8.3 2
6.9%
8.4 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.9 2
6.9%
9.0 1
3.4%
9.2 1
3.4%
9.8 1
3.4%
ValueCountFrequency (%)
13.5 1
3.4%
13.0 2
6.9%
12.7 1
3.4%
12.4 2
6.9%
12.3 1
3.4%
12.1 1
3.4%
12.0 1
3.4%
11.5 1
3.4%
11.1 2
6.9%
10.7 1
3.4%

2012-09
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.375862
Minimum8
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:19.234902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8.3
Q18.7
median10.3
Q312
95-th percentile13.02
Maximum13.2
Range5.2
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.7377439
Coefficient of variation (CV)0.16747947
Kurtosis-1.3976717
Mean10.375862
Median Absolute Deviation (MAD)1.7
Skewness0.23817687
Sum300.9
Variance3.0197537
MonotonicityNot monotonic
2023-12-12T10:13:19.350995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.4 2
 
6.9%
8.5 2
 
6.9%
8.3 2
 
6.9%
8.7 2
 
6.9%
10.3 2
 
6.9%
9.8 1
 
3.4%
10.4 1
 
3.4%
10.0 1
 
3.4%
12.9 1
 
3.4%
13.1 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
8.0 1
3.4%
8.3 2
6.9%
8.4 2
6.9%
8.5 2
6.9%
8.7 2
6.9%
9.0 1
3.4%
9.2 1
3.4%
9.8 1
3.4%
10.0 1
3.4%
10.2 1
3.4%
ValueCountFrequency (%)
13.2 1
3.4%
13.1 1
3.4%
12.9 1
3.4%
12.8 1
3.4%
12.6 1
3.4%
12.3 1
3.4%
12.2 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.4 1
3.4%

2012-10
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.296552
Minimum7.8
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:19.456385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile7.98
Q18.7
median10.1
Q311.9
95-th percentile12.9
Maximum13.3
Range5.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7311191
Coefficient of variation (CV)0.1681261
Kurtosis-1.3459913
Mean10.296552
Median Absolute Deviation (MAD)1.7
Skewness0.17224977
Sum298.6
Variance2.9967734
MonotonicityNot monotonic
2023-12-12T10:13:19.566775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11.9 2
 
6.9%
10.3 2
 
6.9%
8.4 2
 
6.9%
8.9 2
 
6.9%
10.1 2
 
6.9%
13.3 1
 
3.4%
7.8 1
 
3.4%
13.1 1
 
3.4%
12.5 1
 
3.4%
12.3 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
7.8 1
3.4%
7.9 1
3.4%
8.1 1
3.4%
8.3 1
3.4%
8.4 2
6.9%
8.6 1
3.4%
8.7 1
3.4%
8.9 2
6.9%
9.1 1
3.4%
9.7 1
3.4%
ValueCountFrequency (%)
13.3 1
3.4%
13.1 1
3.4%
12.6 1
3.4%
12.5 1
3.4%
12.3 1
3.4%
12.1 1
3.4%
12.0 1
3.4%
11.9 2
6.9%
11.4 1
3.4%
11.1 1
3.4%

2012-11
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.244828
Minimum7.9
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:19.687641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.9
5-th percentile8.1
Q18.5
median10.1
Q311.7
95-th percentile12.94
Maximum13.1
Range5.2
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7124724
Coefficient of variation (CV)0.16715482
Kurtosis-1.4009916
Mean10.244828
Median Absolute Deviation (MAD)1.6
Skewness0.17362036
Sum297.1
Variance2.9325616
MonotonicityNot monotonic
2023-12-12T10:13:19.809705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8.3 3
 
10.3%
11.7 2
 
6.9%
13.1 2
 
6.9%
10.3 2
 
6.9%
8.1 2
 
6.9%
8.5 2
 
6.9%
10.0 2
 
6.9%
10.1 1
 
3.4%
12.1 1
 
3.4%
12.4 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
7.9 1
 
3.4%
8.1 2
6.9%
8.3 3
10.3%
8.5 2
6.9%
8.7 1
 
3.4%
8.8 1
 
3.4%
9.0 1
 
3.4%
9.6 1
 
3.4%
10.0 2
6.9%
10.1 1
 
3.4%
ValueCountFrequency (%)
13.1 2
6.9%
12.7 1
3.4%
12.4 1
3.4%
12.1 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.7 2
6.9%
11.5 1
3.4%
11.2 1
3.4%
10.9 1
3.4%

2012-12
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.306897
Minimum7.9
Maximum13.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:19.942261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.9
5-th percentile8.02
Q18.6
median10.1
Q311.9
95-th percentile12.94
Maximum13.4
Range5.5
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.7472286
Coefficient of variation (CV)0.16952034
Kurtosis-1.3528042
Mean10.306897
Median Absolute Deviation (MAD)1.6
Skewness0.19726242
Sum298.9
Variance3.0528079
MonotonicityNot monotonic
2023-12-12T10:13:20.043244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11.4 2
 
6.9%
12.7 2
 
6.9%
8.5 2
 
6.9%
12.0 2
 
6.9%
7.9 2
 
6.9%
9.7 1
 
3.4%
11.9 1
 
3.4%
9.9 1
 
3.4%
13.1 1
 
3.4%
12.2 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
7.9 2
6.9%
8.2 1
3.4%
8.3 1
3.4%
8.4 1
3.4%
8.5 2
6.9%
8.6 1
3.4%
8.7 1
3.4%
8.9 1
3.4%
9.1 1
3.4%
9.7 1
3.4%
ValueCountFrequency (%)
13.4 1
3.4%
13.1 1
3.4%
12.7 2
6.9%
12.2 1
3.4%
12.0 2
6.9%
11.9 1
3.4%
11.8 1
3.4%
11.4 2
6.9%
10.9 1
3.4%
10.4 1
3.4%

2013-01
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.403448
Minimum7.9
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:20.159999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.9
5-th percentile8.24
Q18.5
median10.3
Q312
95-th percentile13
Maximum13.3
Range5.4
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.8160953
Coefficient of variation (CV)0.17456666
Kurtosis-1.5185815
Mean10.403448
Median Absolute Deviation (MAD)1.8
Skewness0.16184305
Sum301.7
Variance3.298202
MonotonicityNot monotonic
2023-12-12T10:13:20.274962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8.4 3
 
10.3%
9.8 2
 
6.9%
13.0 2
 
6.9%
8.3 2
 
6.9%
8.8 2
 
6.9%
11.9 2
 
6.9%
10.4 1
 
3.4%
12.1 1
 
3.4%
12.9 1
 
3.4%
12.4 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
7.9 1
 
3.4%
8.2 1
 
3.4%
8.3 2
6.9%
8.4 3
10.3%
8.5 1
 
3.4%
8.8 2
6.9%
9.1 1
 
3.4%
9.8 2
6.9%
10.0 1
 
3.4%
10.3 1
 
3.4%
ValueCountFrequency (%)
13.3 1
3.4%
13.0 2
6.9%
12.9 1
3.4%
12.7 1
3.4%
12.4 1
3.4%
12.1 1
3.4%
12.0 1
3.4%
11.9 2
6.9%
11.5 1
3.4%
11.1 1
3.4%

2013-02
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.434483
Minimum7.8
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:20.382585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile8.4
Q18.9
median10.2
Q312
95-th percentile12.96
Maximum13.3
Range5.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.7044639
Coefficient of variation (CV)0.16334915
Kurtosis-1.4183994
Mean10.434483
Median Absolute Deviation (MAD)1.6
Skewness0.15593778
Sum302.6
Variance2.905197
MonotonicityNot monotonic
2023-12-12T10:13:20.513253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12.0 3
 
10.3%
9.9 2
 
6.9%
8.5 2
 
6.9%
8.4 2
 
6.9%
8.9 2
 
6.9%
10.5 1
 
3.4%
9.0 1
 
3.4%
12.9 1
 
3.4%
11.7 1
 
3.4%
12.7 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.8 1
3.4%
8.4 2
6.9%
8.5 2
6.9%
8.6 1
3.4%
8.7 1
3.4%
8.9 2
6.9%
9.0 1
3.4%
9.1 1
3.4%
9.9 2
6.9%
10.1 1
3.4%
ValueCountFrequency (%)
13.3 1
 
3.4%
13.0 1
 
3.4%
12.9 1
 
3.4%
12.7 1
 
3.4%
12.5 1
 
3.4%
12.0 3
10.3%
11.9 1
 
3.4%
11.7 1
 
3.4%
11.5 1
 
3.4%
11.1 1
 
3.4%

2013-03
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.451724
Minimum7.8
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:20.664221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.8
5-th percentile8.4
Q18.9
median10.2
Q312
95-th percentile12.96
Maximum13.2
Range5.4
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6849376
Coefficient of variation (CV)0.16121145
Kurtosis-1.4173588
Mean10.451724
Median Absolute Deviation (MAD)1.5
Skewness0.14169686
Sum303.1
Variance2.8390148
MonotonicityNot monotonic
2023-12-12T10:13:20.770926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
12.0 3
 
10.3%
8.4 2
 
6.9%
9.0 2
 
6.9%
10.0 2
 
6.9%
9.9 1
 
3.4%
11.8 1
 
3.4%
13.0 1
 
3.4%
11.5 1
 
3.4%
12.7 1
 
3.4%
12.9 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
7.8 1
3.4%
8.4 2
6.9%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.8 1
3.4%
8.9 1
3.4%
9.0 2
6.9%
9.1 1
3.4%
9.9 1
3.4%
ValueCountFrequency (%)
13.2 1
 
3.4%
13.0 1
 
3.4%
12.9 1
 
3.4%
12.7 1
 
3.4%
12.6 1
 
3.4%
12.0 3
10.3%
11.8 1
 
3.4%
11.6 1
 
3.4%
11.5 1
 
3.4%
11.2 1
 
3.4%

2013-04
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.427586
Minimum7.7
Maximum13.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:20.870279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile8.34
Q18.8
median10.3
Q312
95-th percentile12.9
Maximum13.2
Range5.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.683936
Coefficient of variation (CV)0.16148857
Kurtosis-1.4269849
Mean10.427586
Median Absolute Deviation (MAD)1.5
Skewness0.085608167
Sum302.4
Variance2.8356404
MonotonicityNot monotonic
2023-12-12T10:13:20.995405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9.9 2
 
6.9%
10.7 2
 
6.9%
8.4 2
 
6.9%
8.6 2
 
6.9%
12.9 2
 
6.9%
8.8 2
 
6.9%
12.3 2
 
6.9%
9.1 2
 
6.9%
12.0 2
 
6.9%
10.3 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
7.7 1
3.4%
8.3 1
3.4%
8.4 2
6.9%
8.6 2
6.9%
8.8 2
6.9%
9.0 1
3.4%
9.1 2
6.9%
9.9 2
6.9%
10.0 1
3.4%
10.3 1
3.4%
ValueCountFrequency (%)
13.2 1
3.4%
12.9 2
6.9%
12.4 1
3.4%
12.3 2
6.9%
12.0 2
6.9%
11.8 1
3.4%
11.6 1
3.4%
11.5 1
3.4%
11.2 1
3.4%
10.7 2
6.9%

2013-05
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.406897
Minimum7.6
Maximum13.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:21.152988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile8.34
Q18.9
median10.2
Q311.9
95-th percentile12.86
Maximum13.3
Range5.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6822457
Coefficient of variation (CV)0.16164721
Kurtosis-1.3607355
Mean10.406897
Median Absolute Deviation (MAD)1.5
Skewness0.073877047
Sum301.8
Variance2.8299507
MonotonicityNot monotonic
2023-12-12T10:13:21.299618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11.5 2
 
6.9%
8.4 2
 
6.9%
8.9 2
 
6.9%
9.1 2
 
6.9%
9.9 1
 
3.4%
10.2 1
 
3.4%
8.5 1
 
3.4%
10.0 1
 
3.4%
12.9 1
 
3.4%
11.6 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
7.6 1
3.4%
8.3 1
3.4%
8.4 2
6.9%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.9 2
6.9%
9.1 2
6.9%
9.9 1
3.4%
10.0 1
3.4%
ValueCountFrequency (%)
13.3 1
3.4%
12.9 1
3.4%
12.8 1
3.4%
12.4 1
3.4%
12.3 1
3.4%
12.2 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.6 1
3.4%
11.5 2
6.9%

2013-06
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.358621
Minimum7.6
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:21.414090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6
5-th percentile8.34
Q18.8
median10.1
Q311.9
95-th percentile12.78
Maximum13.1
Range5.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.659285
Coefficient of variation (CV)0.16018397
Kurtosis-1.4189984
Mean10.358621
Median Absolute Deviation (MAD)1.5
Skewness0.062689512
Sum300.4
Variance2.7532266
MonotonicityNot monotonic
2023-12-12T10:13:21.518947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8.4 2
 
6.9%
8.8 2
 
6.9%
10.0 2
 
6.9%
12.1 2
 
6.9%
9.8 1
 
3.4%
13.1 1
 
3.4%
8.7 1
 
3.4%
12.9 1
 
3.4%
11.4 1
 
3.4%
11.7 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
7.6 1
3.4%
8.3 1
3.4%
8.4 2
6.9%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.8 2
6.9%
9.0 1
3.4%
9.1 1
3.4%
9.8 1
3.4%
ValueCountFrequency (%)
13.1 1
3.4%
12.9 1
3.4%
12.6 1
3.4%
12.4 1
3.4%
12.1 2
6.9%
12.0 1
3.4%
11.9 1
3.4%
11.7 1
3.4%
11.5 1
3.4%
11.4 1
3.4%

2013-07
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.275862
Minimum7.4
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:21.619526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.4
5-th percentile8.2
Q18.6
median10.3
Q311.8
95-th percentile12.7
Maximum13.1
Range5.7
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.6891788
Coefficient of variation (CV)0.16438317
Kurtosis-1.3774215
Mean10.275862
Median Absolute Deviation (MAD)1.6
Skewness0.045037201
Sum298
Variance2.8533251
MonotonicityNot monotonic
2023-12-12T10:13:21.732627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12.0 2
 
6.9%
11.1 2
 
6.9%
8.4 2
 
6.9%
8.2 2
 
6.9%
8.9 2
 
6.9%
8.6 2
 
6.9%
11.8 2
 
6.9%
12.7 2
 
6.9%
10.3 1
 
3.4%
9.9 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
7.4 1
3.4%
8.2 2
6.9%
8.3 1
3.4%
8.4 2
6.9%
8.6 2
6.9%
8.9 2
6.9%
9.0 1
3.4%
9.7 1
3.4%
9.9 1
3.4%
10.0 1
3.4%
ValueCountFrequency (%)
13.1 1
3.4%
12.7 2
6.9%
12.4 1
3.4%
12.0 2
6.9%
11.9 1
3.4%
11.8 2
6.9%
11.5 1
3.4%
11.1 2
6.9%
10.6 1
3.4%
10.5 1
3.4%

2013-08
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.244828
Minimum7.5
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:21.858922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.5
5-th percentile8.14
Q18.6
median10.3
Q311.7
95-th percentile12.52
Maximum13.1
Range5.6
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.633923
Coefficient of variation (CV)0.15948761
Kurtosis-1.3212588
Mean10.244828
Median Absolute Deviation (MAD)1.6
Skewness-0.022094057
Sum297.1
Variance2.6697044
MonotonicityNot monotonic
2023-12-12T10:13:21.984372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
10.0 3
 
10.3%
8.2 2
 
6.9%
12.0 2
 
6.9%
11.9 2
 
6.9%
9.6 1
 
3.4%
11.7 1
 
3.4%
13.1 1
 
3.4%
11.3 1
 
3.4%
12.4 1
 
3.4%
11.4 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
7.5 1
3.4%
8.1 1
3.4%
8.2 2
6.9%
8.3 1
3.4%
8.4 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
9.0 1
3.4%
9.6 1
3.4%
ValueCountFrequency (%)
13.1 1
3.4%
12.6 1
3.4%
12.4 1
3.4%
12.0 2
6.9%
11.9 2
6.9%
11.7 1
3.4%
11.5 1
3.4%
11.4 1
3.4%
11.3 1
3.4%
11.0 1
3.4%

2013-09
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.134483
Minimum7.3
Maximum12.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:22.125296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile8
Q18.4
median10.2
Q311.6
95-th percentile12.36
Maximum12.8
Range5.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.665249
Coefficient of variation (CV)0.16431514
Kurtosis-1.3880305
Mean10.134483
Median Absolute Deviation (MAD)1.5
Skewness-0.077615331
Sum293.9
Variance2.7730542
MonotonicityNot monotonic
2023-12-12T10:13:22.292300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
11.4 3
 
10.3%
12.3 2
 
6.9%
11.7 2
 
6.9%
8.1 2
 
6.9%
8.0 2
 
6.9%
8.3 2
 
6.9%
8.4 2
 
6.9%
9.8 1
 
3.4%
10.1 1
 
3.4%
12.8 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
7.3 1
3.4%
8.0 2
6.9%
8.1 2
6.9%
8.3 2
6.9%
8.4 2
6.9%
8.9 1
3.4%
9.6 1
3.4%
9.8 1
3.4%
9.9 1
3.4%
10.1 1
3.4%
ValueCountFrequency (%)
12.8 1
 
3.4%
12.4 1
 
3.4%
12.3 2
6.9%
12.0 1
 
3.4%
11.7 2
6.9%
11.6 1
 
3.4%
11.4 3
10.3%
10.8 1
 
3.4%
10.4 1
 
3.4%
10.3 1
 
3.4%

2013-10
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.089655
Minimum7.2
Maximum13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:22.412015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile8
Q18.2
median10
Q311.8
95-th percentile12.24
Maximum13
Range5.8
Interquartile range (IQR)3.6

Descriptive statistics

Standard deviation1.6969184
Coefficient of variation (CV)0.16818398
Kurtosis-1.3650361
Mean10.089655
Median Absolute Deviation (MAD)1.8
Skewness-0.075998061
Sum292.6
Variance2.879532
MonotonicityNot monotonic
2023-12-12T10:13:22.559076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8.0 4
13.8%
12.0 3
 
10.3%
8.2 3
 
10.3%
9.9 2
 
6.9%
10.0 2
 
6.9%
11.8 2
 
6.9%
10.6 1
 
3.4%
13.0 1
 
3.4%
11.9 1
 
3.4%
12.4 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
7.2 1
 
3.4%
8.0 4
13.8%
8.2 3
10.3%
8.3 1
 
3.4%
8.8 1
 
3.4%
9.5 1
 
3.4%
9.9 2
6.9%
10.0 2
6.9%
10.4 1
 
3.4%
10.6 1
 
3.4%
ValueCountFrequency (%)
13.0 1
 
3.4%
12.4 1
 
3.4%
12.0 3
10.3%
11.9 1
 
3.4%
11.8 2
6.9%
11.5 1
 
3.4%
11.2 1
 
3.4%
11.0 1
 
3.4%
10.8 1
 
3.4%
10.6 1
 
3.4%

2013-11
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.010345
Minimum7.2
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:22.697238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.84
Q18.3
median9.9
Q311.8
95-th percentile12.5
Maximum12.7
Range5.5
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation1.7101263
Coefficient of variation (CV)0.1708359
Kurtosis-1.3547049
Mean10.010345
Median Absolute Deviation (MAD)1.8
Skewness0.039804277
Sum290.3
Variance2.924532
MonotonicityNot monotonic
2023-12-12T10:13:22.876280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9.8 3
 
10.3%
11.8 2
 
6.9%
8.0 2
 
6.9%
12.5 2
 
6.9%
8.1 2
 
6.9%
9.4 1
 
3.4%
10.0 1
 
3.4%
12.7 1
 
3.4%
12.0 1
 
3.4%
11.9 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.2 1
 
3.4%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.0 2
6.9%
8.1 2
6.9%
8.3 1
 
3.4%
8.4 1
 
3.4%
8.7 1
 
3.4%
9.4 1
 
3.4%
9.8 3
10.3%
ValueCountFrequency (%)
12.7 1
3.4%
12.5 2
6.9%
12.1 1
3.4%
12.0 1
3.4%
11.9 1
3.4%
11.8 2
6.9%
11.4 1
3.4%
10.9 1
3.4%
10.7 1
3.4%
10.6 1
3.4%

2013-12
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9896552
Minimum7.3
Maximum12.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:23.062058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.84
Q18.3
median9.9
Q311.6
95-th percentile12.46
Maximum12.6
Range5.3
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.705735
Coefficient of variation (CV)0.17075014
Kurtosis-1.3922505
Mean9.9896552
Median Absolute Deviation (MAD)1.6
Skewness0.10378406
Sum289.7
Variance2.909532
MonotonicityNot monotonic
2023-12-12T10:13:23.196107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12.0 3
 
10.3%
8.0 3
 
10.3%
8.3 2
 
6.9%
9.9 2
 
6.9%
12.6 1
 
3.4%
9.1 1
 
3.4%
12.5 1
 
3.4%
12.3 1
 
3.4%
11.6 1
 
3.4%
12.4 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.3 1
 
3.4%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.0 3
10.3%
8.3 2
6.9%
8.5 1
 
3.4%
8.7 1
 
3.4%
9.1 1
 
3.4%
9.4 1
 
3.4%
9.7 1
 
3.4%
ValueCountFrequency (%)
12.6 1
 
3.4%
12.5 1
 
3.4%
12.4 1
 
3.4%
12.3 1
 
3.4%
12.0 3
10.3%
11.6 1
 
3.4%
11.3 1
 
3.4%
11.0 1
 
3.4%
10.7 1
 
3.4%
10.3 1
 
3.4%

2014-01
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9862069
Minimum7.3
Maximum12.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:23.349855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.84
Q18.3
median9.8
Q311.6
95-th percentile12.5
Maximum12.7
Range5.4
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.746573
Coefficient of variation (CV)0.17489854
Kurtosis-1.4535144
Mean9.9862069
Median Absolute Deviation (MAD)1.6
Skewness0.095572538
Sum289.6
Variance3.0505172
MonotonicityNot monotonic
2023-12-12T10:13:23.536235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.0 3
 
10.3%
12.5 2
 
6.9%
12.0 2
 
6.9%
8.3 2
 
6.9%
9.8 2
 
6.9%
9.5 1
 
3.4%
7.8 1
 
3.4%
12.7 1
 
3.4%
11.6 1
 
3.4%
12.4 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.3 1
 
3.4%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.0 3
10.3%
8.2 1
 
3.4%
8.3 2
6.9%
8.4 1
 
3.4%
8.8 1
 
3.4%
9.5 1
 
3.4%
9.7 1
 
3.4%
ValueCountFrequency (%)
12.7 1
3.4%
12.5 2
6.9%
12.4 1
3.4%
12.0 2
6.9%
11.8 1
3.4%
11.6 1
3.4%
11.3 1
3.4%
11.0 1
3.4%
10.9 1
3.4%
10.7 1
3.4%

2014-02
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.034483
Minimum7.2
Maximum13.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:23.715775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.88
Q18.4
median9.7
Q311.7
95-th percentile12.4
Maximum13.1
Range5.9
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.7532166
Coefficient of variation (CV)0.17471918
Kurtosis-1.3809857
Mean10.034483
Median Absolute Deviation (MAD)1.5
Skewness0.12853655
Sum291
Variance3.0737685
MonotonicityNot monotonic
2023-12-12T10:13:23.875130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
12.4 3
 
10.3%
8.4 3
 
10.3%
8.0 2
 
6.9%
9.7 2
 
6.9%
9.6 1
 
3.4%
7.8 1
 
3.4%
12.2 1
 
3.4%
13.1 1
 
3.4%
11.7 1
 
3.4%
12.0 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.2 1
 
3.4%
7.8 1
 
3.4%
8.0 2
6.9%
8.1 1
 
3.4%
8.2 1
 
3.4%
8.4 3
10.3%
8.5 1
 
3.4%
8.8 1
 
3.4%
9.5 1
 
3.4%
9.6 1
 
3.4%
ValueCountFrequency (%)
13.1 1
 
3.4%
12.4 3
10.3%
12.2 1
 
3.4%
12.0 1
 
3.4%
11.8 1
 
3.4%
11.7 1
 
3.4%
11.3 1
 
3.4%
11.2 1
 
3.4%
10.9 1
 
3.4%
10.8 1
 
3.4%

2014-03
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.07931
Minimum7.4
Maximum12.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:24.016086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.4
5-th percentile7.94
Q18.5
median9.9
Q311.7
95-th percentile12.4
Maximum12.9
Range5.5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.692078
Coefficient of variation (CV)0.16787637
Kurtosis-1.434927
Mean10.07931
Median Absolute Deviation (MAD)1.4
Skewness0.097266003
Sum292.3
Variance2.8631281
MonotonicityNot monotonic
2023-12-12T10:13:24.162042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.5 3
 
10.3%
11.1 2
 
6.9%
12.2 2
 
6.9%
12.4 2
 
6.9%
11.9 1
 
3.4%
7.9 1
 
3.4%
9.9 1
 
3.4%
12.9 1
 
3.4%
11.7 1
 
3.4%
12.0 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
7.4 1
 
3.4%
7.9 1
 
3.4%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.2 1
 
3.4%
8.3 1
 
3.4%
8.5 3
10.3%
8.6 1
 
3.4%
8.8 1
 
3.4%
9.6 1
 
3.4%
ValueCountFrequency (%)
12.9 1
3.4%
12.4 2
6.9%
12.2 2
6.9%
12.0 1
3.4%
11.9 1
3.4%
11.7 1
3.4%
11.3 1
3.4%
11.1 2
6.9%
10.8 1
3.4%
10.3 1
3.4%

2014-04
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.044828
Minimum7.3
Maximum12.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:24.335621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.82
Q18.4
median9.9
Q311.8
95-th percentile12.36
Maximum12.9
Range5.6
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation1.7180941
Coefficient of variation (CV)0.17104267
Kurtosis-1.4312056
Mean10.044828
Median Absolute Deviation (MAD)1.6
Skewness0.068127593
Sum291.3
Variance2.9518473
MonotonicityNot monotonic
2023-12-12T10:13:24.483877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10.8 2
 
6.9%
8.0 2
 
6.9%
11.9 2
 
6.9%
9.6 1
 
3.4%
10.2 1
 
3.4%
7.7 1
 
3.4%
9.9 1
 
3.4%
12.1 1
 
3.4%
12.9 1
 
3.4%
12.3 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
7.3 1
3.4%
7.7 1
3.4%
8.0 2
6.9%
8.1 1
3.4%
8.2 1
3.4%
8.3 1
3.4%
8.4 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
8.8 1
3.4%
ValueCountFrequency (%)
12.9 1
3.4%
12.4 1
3.4%
12.3 1
3.4%
12.2 1
3.4%
12.1 1
3.4%
11.9 2
6.9%
11.8 1
3.4%
11.5 1
3.4%
11.3 1
3.4%
10.8 2
6.9%

2014-05
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.017241
Minimum7.2
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:24.663547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.78
Q18.5
median10.1
Q311.8
95-th percentile12.32
Maximum12.5
Range5.3
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.721517
Coefficient of variation (CV)0.17185539
Kurtosis-1.5039848
Mean10.017241
Median Absolute Deviation (MAD)1.7
Skewness0.0054789538
Sum290.5
Variance2.9636207
MonotonicityNot monotonic
2023-12-12T10:13:24.805162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10.1 3
 
10.3%
12.0 3
 
10.3%
10.8 2
 
6.9%
8.0 2
 
6.9%
8.2 2
 
6.9%
8.5 2
 
6.9%
12.2 2
 
6.9%
9.8 2
 
6.9%
9.5 1
 
3.4%
11.6 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
7.2 1
3.4%
7.7 1
3.4%
7.9 1
3.4%
8.0 2
6.9%
8.2 2
6.9%
8.5 2
6.9%
8.6 1
3.4%
8.7 1
3.4%
9.5 1
3.4%
9.8 2
6.9%
ValueCountFrequency (%)
12.5 1
 
3.4%
12.4 1
 
3.4%
12.2 2
6.9%
12.0 3
10.3%
11.8 1
 
3.4%
11.6 1
 
3.4%
11.3 1
 
3.4%
10.8 2
6.9%
10.1 3
10.3%
9.8 2
6.9%

2014-06
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9586207
Minimum7.2
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:25.009554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.84
Q18.3
median10
Q311.6
95-th percentile12.1
Maximum12.3
Range5.1
Interquartile range (IQR)3.3

Descriptive statistics

Standard deviation1.6631548
Coefficient of variation (CV)0.16700654
Kurtosis-1.5192216
Mean9.9586207
Median Absolute Deviation (MAD)1.7
Skewness-0.027578302
Sum288.8
Variance2.7660837
MonotonicityNot monotonic
2023-12-12T10:13:25.182209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12.0 3
 
10.3%
11.6 2
 
6.9%
10.1 2
 
6.9%
8.0 2
 
6.9%
12.1 2
 
6.9%
8.6 2
 
6.9%
9.5 1
 
3.4%
7.8 1
 
3.4%
9.9 1
 
3.4%
12.3 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
7.2 1
3.4%
7.8 1
3.4%
7.9 1
3.4%
8.0 2
6.9%
8.1 1
3.4%
8.2 1
3.4%
8.3 1
3.4%
8.6 2
6.9%
8.7 1
3.4%
9.5 1
3.4%
ValueCountFrequency (%)
12.3 1
 
3.4%
12.1 2
6.9%
12.0 3
10.3%
11.7 1
 
3.4%
11.6 2
6.9%
11.2 1
 
3.4%
10.8 1
 
3.4%
10.7 1
 
3.4%
10.1 2
6.9%
10.0 1
 
3.4%

2014-07
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.9103448
Minimum7.3
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:25.347147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.9
Q18.4
median10
Q311.4
95-th percentile12.26
Maximum12.3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6209223
Coefficient of variation (CV)0.16355862
Kurtosis-1.4832536
Mean9.9103448
Median Absolute Deviation (MAD)1.5
Skewness0.020102775
Sum287.4
Variance2.6273892
MonotonicityNot monotonic
2023-12-12T10:13:25.496053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
10.0 3
 
10.3%
12.3 2
 
6.9%
8.0 2
 
6.9%
8.1 2
 
6.9%
7.9 2
 
6.9%
11.4 2
 
6.9%
9.3 1
 
3.4%
9.9 1
 
3.4%
11.5 1
 
3.4%
11.6 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
7.3 1
3.4%
7.9 2
6.9%
8.0 2
6.9%
8.1 2
6.9%
8.4 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
8.7 1
3.4%
9.3 1
3.4%
9.7 1
3.4%
ValueCountFrequency (%)
12.3 2
6.9%
12.2 1
3.4%
12.0 1
3.4%
11.7 1
3.4%
11.6 1
3.4%
11.5 1
3.4%
11.4 2
6.9%
11.1 1
3.4%
10.9 1
3.4%
10.6 1
3.4%

2014-08
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7655172
Minimum7.3
Maximum12.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:25.656497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.84
Q18.3
median9.8
Q311.3
95-th percentile12
Maximum12.1
Range4.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.552941
Coefficient of variation (CV)0.15902291
Kurtosis-1.4761408
Mean9.7655172
Median Absolute Deviation (MAD)1.5
Skewness0.028070815
Sum283.2
Variance2.4116256
MonotonicityNot monotonic
2023-12-12T10:13:25.840892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7.9 3
 
10.3%
11.6 2
 
6.9%
9.8 2
 
6.9%
9.9 2
 
6.9%
12.0 2
 
6.9%
9.2 1
 
3.4%
8.0 1
 
3.4%
12.1 1
 
3.4%
11.4 1
 
3.4%
11.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.3 1
 
3.4%
7.8 1
 
3.4%
7.9 3
10.3%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.3 1
 
3.4%
8.4 1
 
3.4%
8.5 1
 
3.4%
8.6 1
 
3.4%
9.2 1
 
3.4%
ValueCountFrequency (%)
12.1 1
3.4%
12.0 2
6.9%
11.6 2
6.9%
11.5 1
3.4%
11.4 1
3.4%
11.3 1
3.4%
11.0 1
3.4%
10.8 1
3.4%
10.6 1
3.4%
10.4 1
3.4%

2014-09
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7172414
Minimum7.3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:25.985150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.3
5-th percentile7.74
Q18.2
median9.8
Q311.2
95-th percentile12
Maximum12
Range4.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5551915
Coefficient of variation (CV)0.16004455
Kurtosis-1.505627
Mean9.7172414
Median Absolute Deviation (MAD)1.5
Skewness0.025271418
Sum281.8
Variance2.4186207
MonotonicityNot monotonic
2023-12-12T10:13:26.464203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
12.0 3
 
10.3%
11.3 2
 
6.9%
11.2 2
 
6.9%
7.8 2
 
6.9%
9.9 2
 
6.9%
8.1 2
 
6.9%
9.1 1
 
3.4%
10.5 1
 
3.4%
9.8 1
 
3.4%
9.5 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
7.3 1
3.4%
7.7 1
3.4%
7.8 2
6.9%
7.9 1
3.4%
8.1 2
6.9%
8.2 1
3.4%
8.3 1
3.4%
8.4 1
3.4%
8.5 1
3.4%
9.1 1
3.4%
ValueCountFrequency (%)
12.0 3
10.3%
11.6 1
 
3.4%
11.4 1
 
3.4%
11.3 2
6.9%
11.2 2
6.9%
10.9 1
 
3.4%
10.5 1
 
3.4%
10.4 1
 
3.4%
9.9 2
6.9%
9.8 1
 
3.4%

2014-10
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6724138
Minimum7.2
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:26.605690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.2
5-th percentile7.74
Q18.2
median9.7
Q311.2
95-th percentile12
Maximum12
Range4.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5433953
Coefficient of variation (CV)0.15956671
Kurtosis-1.4369296
Mean9.6724138
Median Absolute Deviation (MAD)1.5
Skewness0.043743277
Sum280.5
Variance2.382069
MonotonicityNot monotonic
2023-12-12T10:13:26.723883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.8 3
 
10.3%
12.0 3
 
10.3%
11.4 2
 
6.9%
11.3 2
 
6.9%
9.8 2
 
6.9%
8.5 2
 
6.9%
9.1 1
 
3.4%
8.3 1
 
3.4%
9.7 1
 
3.4%
11.2 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
7.2 1
 
3.4%
7.7 1
 
3.4%
7.8 3
10.3%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.2 1
 
3.4%
8.3 1
 
3.4%
8.5 2
6.9%
9.1 1
 
3.4%
9.5 1
 
3.4%
ValueCountFrequency (%)
12.0 3
10.3%
11.4 2
6.9%
11.3 2
6.9%
11.2 1
 
3.4%
10.9 1
 
3.4%
10.8 1
 
3.4%
10.5 1
 
3.4%
10.3 1
 
3.4%
9.8 2
6.9%
9.7 1
 
3.4%

2014-11
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6103448
Minimum7
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:26.848616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.68
Q18.2
median9.6
Q310.8
95-th percentile11.92
Maximum12
Range5
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.5295529
Coefficient of variation (CV)0.15915692
Kurtosis-1.3329809
Mean9.6103448
Median Absolute Deviation (MAD)1.4
Skewness0.045322849
Sum278.7
Variance2.339532
MonotonicityNot monotonic
2023-12-12T10:13:27.029339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9.6 3
 
10.3%
7.8 3
 
10.3%
10.8 2
 
6.9%
8.2 2
 
6.9%
11.1 2
 
6.9%
8.5 2
 
6.9%
12.0 2
 
6.9%
9.1 1
 
3.4%
10.7 1
 
3.4%
8.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
7.0 1
 
3.4%
7.6 1
 
3.4%
7.8 3
10.3%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.2 2
6.9%
8.5 2
6.9%
9.1 1
 
3.4%
9.4 1
 
3.4%
9.6 3
10.3%
ValueCountFrequency (%)
12.0 2
6.9%
11.8 1
3.4%
11.7 1
3.4%
11.3 1
3.4%
11.1 2
6.9%
10.8 2
6.9%
10.7 1
3.4%
10.5 1
3.4%
10.3 1
3.4%
9.8 1
3.4%

2014-12
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7103448
Minimum7.1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:27.177387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.1
5-th percentile7.74
Q18.2
median9.7
Q311.1
95-th percentile11.92
Maximum12
Range4.9
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5187741
Coefficient of variation (CV)0.15640785
Kurtosis-1.3156394
Mean9.7103448
Median Absolute Deviation (MAD)1.4
Skewness-0.0063447551
Sum281.6
Variance2.3066749
MonotonicityNot monotonic
2023-12-12T10:13:27.350045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
12.0 2
 
6.9%
9.6 2
 
6.9%
7.8 2
 
6.9%
11.8 2
 
6.9%
11.1 2
 
6.9%
8.1 2
 
6.9%
8.5 2
 
6.9%
9.8 2
 
6.9%
9.1 1
 
3.4%
9.7 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
7.1 1
3.4%
7.7 1
3.4%
7.8 2
6.9%
7.9 1
3.4%
8.1 2
6.9%
8.2 1
3.4%
8.5 2
6.9%
9.1 1
3.4%
9.3 1
3.4%
9.6 2
6.9%
ValueCountFrequency (%)
12.0 2
6.9%
11.8 2
6.9%
11.6 1
3.4%
11.2 1
3.4%
11.1 2
6.9%
10.8 1
3.4%
10.7 1
3.4%
10.6 1
3.4%
10.3 1
3.4%
9.8 2
6.9%

2015-01
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7137931
Minimum7
Maximum12.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:27.500226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.7
Q18.3
median9.6
Q311.1
95-th percentile11.96
Maximum12.1
Range5.1
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.5645
Coefficient of variation (CV)0.16105963
Kurtosis-1.330928
Mean9.7137931
Median Absolute Deviation (MAD)1.4
Skewness0.047902746
Sum281.7
Variance2.4476601
MonotonicityNot monotonic
2023-12-12T10:13:27.652079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.3 3
 
10.3%
10.9 2
 
6.9%
7.7 2
 
6.9%
8.2 2
 
6.9%
8.4 2
 
6.9%
11.9 2
 
6.9%
9.1 1
 
3.4%
9.9 1
 
3.4%
9.7 1
 
3.4%
12.1 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
7.0 1
 
3.4%
7.7 2
6.9%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.2 2
6.9%
8.3 1
 
3.4%
8.4 2
6.9%
9.1 1
 
3.4%
9.3 3
10.3%
9.6 1
 
3.4%
ValueCountFrequency (%)
12.1 1
3.4%
12.0 1
3.4%
11.9 2
6.9%
11.6 1
3.4%
11.5 1
3.4%
11.2 1
3.4%
11.1 1
3.4%
10.9 2
6.9%
10.5 1
3.4%
10.3 1
3.4%

2015-02
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7310345
Minimum6.9
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:27.823311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile7.74
Q18.3
median9.7
Q311.2
95-th percentile11.92
Maximum12.3
Range5.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5666396
Coefficient of variation (CV)0.16099415
Kurtosis-1.2914771
Mean9.7310345
Median Absolute Deviation (MAD)1.5
Skewness-0.0080222154
Sum282.2
Variance2.4543596
MonotonicityNot monotonic
2023-12-12T10:13:27.956507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
11.0 2
 
6.9%
7.8 2
 
6.9%
11.2 2
 
6.9%
9.3 2
 
6.9%
8.4 2
 
6.9%
9.2 1
 
3.4%
11.8 1
 
3.4%
9.9 1
 
3.4%
12.3 1
 
3.4%
11.7 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
6.9 1
3.4%
7.7 1
3.4%
7.8 2
6.9%
7.9 1
3.4%
8.1 1
3.4%
8.2 1
3.4%
8.3 1
3.4%
8.4 2
6.9%
9.2 1
3.4%
9.3 2
6.9%
ValueCountFrequency (%)
12.3 1
3.4%
12.0 1
3.4%
11.8 1
3.4%
11.7 1
3.4%
11.6 1
3.4%
11.3 1
3.4%
11.2 2
6.9%
11.0 2
6.9%
10.5 1
3.4%
10.4 1
3.4%

2015-03
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.7034483
Minimum7
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:28.085171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile7.74
Q18.4
median9.7
Q311.1
95-th percentile11.92
Maximum12.2
Range5.2
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5274822
Coefficient of variation (CV)0.15741643
Kurtosis-1.3280922
Mean9.7034483
Median Absolute Deviation (MAD)1.4
Skewness0.003650659
Sum281.4
Variance2.333202
MonotonicityNot monotonic
2023-12-12T10:13:28.221266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
11.2 2
 
6.9%
10.4 2
 
6.9%
9.7 2
 
6.9%
7.8 2
 
6.9%
11.1 2
 
6.9%
8.4 2
 
6.9%
9.8 1
 
3.4%
8.7 1
 
3.4%
9.9 1
 
3.4%
12.2 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
7.0 1
3.4%
7.7 1
3.4%
7.8 2
6.9%
8.0 1
3.4%
8.1 1
3.4%
8.2 1
3.4%
8.4 2
6.9%
8.5 1
3.4%
8.7 1
3.4%
9.2 1
3.4%
ValueCountFrequency (%)
12.2 1
3.4%
12.0 1
3.4%
11.8 1
3.4%
11.5 1
3.4%
11.3 1
3.4%
11.2 2
6.9%
11.1 2
6.9%
11.0 1
3.4%
10.4 2
6.9%
9.9 1
3.4%

2015-04
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.6482759
Minimum6.9
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:28.354449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.9
5-th percentile7.7
Q18.2
median9.7
Q311.1
95-th percentile11.84
Maximum12.3
Range5.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5765289
Coefficient of variation (CV)0.16340006
Kurtosis-1.3673625
Mean9.6482759
Median Absolute Deviation (MAD)1.4
Skewness0.0017605437
Sum279.8
Variance2.4854433
MonotonicityNot monotonic
2023-12-12T10:13:28.534929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
7.7 3
 
10.3%
11.4 3
 
10.3%
9.2 2
 
6.9%
9.7 2
 
6.9%
11.0 2
 
6.9%
8.4 2
 
6.9%
11.1 2
 
6.9%
9.8 1
 
3.4%
8.2 1
 
3.4%
9.9 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
6.9 1
 
3.4%
7.7 3
10.3%
7.8 1
 
3.4%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.2 1
 
3.4%
8.3 1
 
3.4%
8.4 2
6.9%
9.2 2
6.9%
9.7 2
6.9%
ValueCountFrequency (%)
12.3 1
 
3.4%
12.0 1
 
3.4%
11.6 1
 
3.4%
11.4 3
10.3%
11.1 2
6.9%
11.0 2
6.9%
10.5 1
 
3.4%
10.3 1
 
3.4%
9.9 1
 
3.4%
9.8 1
 
3.4%

2015-05
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.5931034
Minimum6.8
Maximum12.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:28.666693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.8
5-th percentile7.64
Q18
median9.7
Q311.1
95-th percentile11.76
Maximum12.3
Range5.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.5716077
Coefficient of variation (CV)0.16382683
Kurtosis-1.3124187
Mean9.5931034
Median Absolute Deviation (MAD)1.4
Skewness-0.01285766
Sum278.2
Variance2.4699507
MonotonicityNot monotonic
2023-12-12T10:13:28.844053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.9 2
 
6.9%
9.7 2
 
6.9%
7.7 2
 
6.9%
8.0 2
 
6.9%
11.1 2
 
6.9%
8.3 2
 
6.9%
11.4 2
 
6.9%
9.1 1
 
3.4%
7.8 1
 
3.4%
12.3 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.8 1
3.4%
7.6 1
3.4%
7.7 2
6.9%
7.8 1
3.4%
7.9 1
3.4%
8.0 2
6.9%
8.3 2
6.9%
8.5 1
3.4%
9.1 1
3.4%
9.2 1
3.4%
ValueCountFrequency (%)
12.3 1
3.4%
12.0 1
3.4%
11.4 2
6.9%
11.3 1
3.4%
11.2 1
3.4%
11.1 2
6.9%
11.0 1
3.4%
10.7 1
3.4%
10.4 1
3.4%
10.2 1
3.4%

2015-06
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.4965517
Minimum6.8
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:28.971334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.8
5-th percentile7.64
Q18
median9.6
Q310.9
95-th percentile11.82
Maximum12.2
Range5.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5178657
Coefficient of variation (CV)0.15983335
Kurtosis-1.1482256
Mean9.4965517
Median Absolute Deviation (MAD)1.4
Skewness0.097871232
Sum275.4
Variance2.3039163
MonotonicityNot monotonic
2023-12-12T10:13:29.101273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.1 2
 
6.9%
11.1 2
 
6.9%
10.9 2
 
6.9%
7.7 2
 
6.9%
8.0 2
 
6.9%
9.7 2
 
6.9%
8.3 2
 
6.9%
12.2 1
 
3.4%
11.4 1
 
3.4%
11.0 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.8 1
3.4%
7.6 1
3.4%
7.7 2
6.9%
7.8 1
3.4%
7.9 1
3.4%
8.0 2
6.9%
8.3 2
6.9%
8.5 1
3.4%
9.1 2
6.9%
9.5 1
3.4%
ValueCountFrequency (%)
12.2 1
3.4%
12.1 1
3.4%
11.4 1
3.4%
11.2 1
3.4%
11.1 2
6.9%
11.0 1
3.4%
10.9 2
6.9%
10.3 1
3.4%
10.0 1
3.4%
9.9 1
3.4%

2015-07
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3931034
Minimum6.7
Maximum12.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:29.228835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile7.54
Q18
median9.4
Q310.8
95-th percentile11.82
Maximum12.2
Range5.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.5620342
Coefficient of variation (CV)0.16629585
Kurtosis-1.1532324
Mean9.3931034
Median Absolute Deviation (MAD)1.4
Skewness0.15400633
Sum272.4
Variance2.4399507
MonotonicityNot monotonic
2023-12-12T10:13:29.343338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.4 2
 
6.9%
10.8 2
 
6.9%
7.6 2
 
6.9%
7.7 2
 
6.9%
8.0 2
 
6.9%
11.3 2
 
6.9%
8.2 2
 
6.9%
8.9 1
 
3.4%
9.7 1
 
3.4%
9.6 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.7 1
3.4%
7.5 1
3.4%
7.6 2
6.9%
7.7 2
6.9%
7.8 1
3.4%
8.0 2
6.9%
8.2 2
6.9%
8.9 1
3.4%
9.0 1
3.4%
9.4 2
6.9%
ValueCountFrequency (%)
12.2 1
3.4%
12.1 1
3.4%
11.4 1
3.4%
11.3 2
6.9%
10.9 1
3.4%
10.8 2
6.9%
10.7 1
3.4%
10.2 1
3.4%
9.9 1
3.4%
9.8 1
3.4%

2015-08
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2551724
Minimum6.7
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:29.470075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile7.5
Q18
median9.3
Q310.6
95-th percentile11.68
Maximum12
Range5.3
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.5056053
Coefficient of variation (CV)0.16267717
Kurtosis-1.0645969
Mean9.2551724
Median Absolute Deviation (MAD)1.3
Skewness0.19974045
Sum268.4
Variance2.2668473
MonotonicityNot monotonic
2023-12-12T10:13:29.614085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
7.5 4
13.8%
8.1 3
 
10.3%
9.3 2
 
6.9%
10.7 2
 
6.9%
12.0 2
 
6.9%
9.5 2
 
6.9%
11.2 2
 
6.9%
8.8 1
 
3.4%
10.9 1
 
3.4%
10.6 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
6.7 1
 
3.4%
7.5 4
13.8%
7.6 1
 
3.4%
7.7 1
 
3.4%
8.0 1
 
3.4%
8.1 3
10.3%
8.8 1
 
3.4%
9.0 1
 
3.4%
9.2 1
 
3.4%
9.3 2
6.9%
ValueCountFrequency (%)
12.0 2
6.9%
11.2 2
6.9%
10.9 1
3.4%
10.7 2
6.9%
10.6 1
3.4%
10.4 1
3.4%
10.0 1
3.4%
9.8 1
3.4%
9.5 2
6.9%
9.3 2
6.9%

2015-09
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2586207
Minimum6.7
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:29.886134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7
5-th percentile7.38
Q17.9
median9.3
Q310.5
95-th percentile11.72
Maximum12
Range5.3
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.4874516
Coefficient of variation (CV)0.16065585
Kurtosis-1.0280628
Mean9.2586207
Median Absolute Deviation (MAD)1.3
Skewness0.17099793
Sum268.5
Variance2.2125123
MonotonicityNot monotonic
2023-12-12T10:13:30.144573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7.5 3
 
10.3%
10.6 2
 
6.9%
7.9 2
 
6.9%
8.1 2
 
6.9%
9.3 2
 
6.9%
8.7 1
 
3.4%
8.8 1
 
3.4%
8.6 1
 
3.4%
9.5 1
 
3.4%
12.0 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
6.7 1
 
3.4%
7.3 1
 
3.4%
7.5 3
10.3%
7.7 1
 
3.4%
7.9 2
6.9%
8.1 2
6.9%
8.6 1
 
3.4%
8.7 1
 
3.4%
8.8 1
 
3.4%
9.2 1
 
3.4%
ValueCountFrequency (%)
12.0 1
3.4%
11.8 1
3.4%
11.6 1
3.4%
11.0 1
3.4%
10.8 1
3.4%
10.6 2
6.9%
10.5 1
3.4%
10.3 1
3.4%
10.1 1
3.4%
10.0 1
3.4%

2015-10
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1413793
Minimum6.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:30.329278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile7.34
Q17.8
median9.3
Q310.5
95-th percentile11.4
Maximum12
Range5.4
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.4554129
Coefficient of variation (CV)0.15921152
Kurtosis-0.90572436
Mean9.1413793
Median Absolute Deviation (MAD)1.3
Skewness0.1616726
Sum265.1
Variance2.1182266
MonotonicityNot monotonic
2023-12-12T10:13:30.473706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.4 3
 
10.3%
9.3 3
 
10.3%
8.6 2
 
6.9%
10.6 2
 
6.9%
7.6 2
 
6.9%
10.7 2
 
6.9%
10.8 1
 
3.4%
9.6 1
 
3.4%
12.0 1
 
3.4%
10.5 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
6.6 1
 
3.4%
7.3 1
 
3.4%
7.4 3
10.3%
7.6 2
6.9%
7.8 1
 
3.4%
8.0 1
 
3.4%
8.1 1
 
3.4%
8.6 2
6.9%
8.8 1
 
3.4%
9.2 1
 
3.4%
ValueCountFrequency (%)
12.0 1
3.4%
11.8 1
3.4%
10.8 1
3.4%
10.7 2
6.9%
10.6 2
6.9%
10.5 1
3.4%
10.0 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.6 1
3.4%

2015-11
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0965517
Minimum6.6
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:30.667847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile7.24
Q17.7
median9.1
Q310.4
95-th percentile11.46
Maximum11.8
Range5.2
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.4763572
Coefficient of variation (CV)0.16229855
Kurtosis-1.0518315
Mean9.0965517
Median Absolute Deviation (MAD)1.4
Skewness0.1037142
Sum263.8
Variance2.1796305
MonotonicityNot monotonic
2023-12-12T10:13:30.878167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7.3 3
 
10.3%
9.5 2
 
6.9%
10.7 2
 
6.9%
9.9 2
 
6.9%
9.0 2
 
6.9%
9.6 1
 
3.4%
11.8 1
 
3.4%
11.1 1
 
3.4%
10.4 1
 
3.4%
11.7 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
6.6 1
 
3.4%
7.2 1
 
3.4%
7.3 3
10.3%
7.4 1
 
3.4%
7.5 1
 
3.4%
7.7 1
 
3.4%
7.9 1
 
3.4%
8.0 1
 
3.4%
8.6 1
 
3.4%
8.7 1
 
3.4%
ValueCountFrequency (%)
11.8 1
3.4%
11.7 1
3.4%
11.1 1
3.4%
10.7 2
6.9%
10.6 1
3.4%
10.5 1
3.4%
10.4 1
3.4%
9.9 2
6.9%
9.6 1
3.4%
9.5 2
6.9%

2015-12
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0068966
Minimum6.6
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:31.072636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.6
5-th percentile7.24
Q17.6
median9.1
Q310.2
95-th percentile11.28
Maximum11.7
Range5.1
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.466271
Coefficient of variation (CV)0.16279426
Kurtosis-1.1638222
Mean9.0068966
Median Absolute Deviation (MAD)1.4
Skewness0.10570082
Sum261.2
Variance2.1499507
MonotonicityNot monotonic
2023-12-12T10:13:31.250997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.3 4
 
13.8%
9.6 3
 
10.3%
9.1 2
 
6.9%
10.5 2
 
6.9%
7.6 2
 
6.9%
10.8 1
 
3.4%
11.6 1
 
3.4%
10.2 1
 
3.4%
10.7 1
 
3.4%
11.7 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
6.6 1
 
3.4%
7.2 1
 
3.4%
7.3 4
13.8%
7.4 1
 
3.4%
7.6 2
6.9%
7.9 1
 
3.4%
8.1 1
 
3.4%
8.5 1
 
3.4%
8.6 1
 
3.4%
9.1 2
6.9%
ValueCountFrequency (%)
11.7 1
 
3.4%
11.6 1
 
3.4%
10.8 1
 
3.4%
10.7 1
 
3.4%
10.5 2
6.9%
10.4 1
 
3.4%
10.2 1
 
3.4%
9.9 1
 
3.4%
9.7 1
 
3.4%
9.6 3
10.3%

2016-01
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0689655
Minimum6.4
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:31.439640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile7.2
Q17.6
median9.2
Q310.4
95-th percentile11.22
Maximum11.8
Range5.4
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.4997865
Coefficient of variation (CV)0.1653757
Kurtosis-1.1900584
Mean9.0689655
Median Absolute Deviation (MAD)1.3
Skewness-0.00034436643
Sum263
Variance2.2493596
MonotonicityNot monotonic
2023-12-12T10:13:31.618128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.5 2
 
6.9%
10.5 2
 
6.9%
7.2 2
 
6.9%
7.3 2
 
6.9%
7.4 2
 
6.9%
9.8 2
 
6.9%
9.2 1
 
3.4%
11.8 1
 
3.4%
10.3 1
 
3.4%
11.5 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
6.4 1
3.4%
7.2 2
6.9%
7.3 2
6.9%
7.4 2
6.9%
7.6 1
3.4%
7.8 1
3.4%
7.9 1
3.4%
8.5 2
6.9%
8.6 1
3.4%
9.1 1
3.4%
ValueCountFrequency (%)
11.8 1
3.4%
11.5 1
3.4%
10.8 1
3.4%
10.7 1
3.4%
10.6 1
3.4%
10.5 2
6.9%
10.4 1
3.4%
10.3 1
3.4%
10.0 1
3.4%
9.8 2
6.9%

2016-02
Real number (ℝ)

Distinct19
Distinct (%)65.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.2034483
Minimum6.4
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:31.807703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile7.24
Q17.7
median9.3
Q310.7
95-th percentile11.6
Maximum11.8
Range5.4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5580397
Coefficient of variation (CV)0.16928869
Kurtosis-1.2308031
Mean9.2034483
Median Absolute Deviation (MAD)1.4
Skewness0.016003329
Sum266.9
Variance2.4274877
MonotonicityNot monotonic
2023-12-12T10:13:32.012428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9.9 3
 
10.3%
9.3 3
 
10.3%
10.7 3
 
10.3%
7.5 3
 
10.3%
11.8 2
 
6.9%
10.9 2
 
6.9%
8.7 1
 
3.4%
8.3 1
 
3.4%
8.6 1
 
3.4%
11.3 1
 
3.4%
Other values (9) 9
31.0%
ValueCountFrequency (%)
6.4 1
 
3.4%
7.2 1
 
3.4%
7.3 1
 
3.4%
7.4 1
 
3.4%
7.5 3
10.3%
7.7 1
 
3.4%
7.9 1
 
3.4%
8.1 1
 
3.4%
8.3 1
 
3.4%
8.6 1
 
3.4%
ValueCountFrequency (%)
11.8 2
6.9%
11.3 1
 
3.4%
10.9 2
6.9%
10.7 3
10.3%
10.4 1
 
3.4%
10.0 1
 
3.4%
9.9 3
10.3%
9.3 3
10.3%
8.7 1
 
3.4%
8.6 1
 
3.4%

2016-03
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1344828
Minimum6.3
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:32.175842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.24
Q17.7
median9.2
Q310.4
95-th percentile11.42
Maximum12
Range5.7
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5515605
Coefficient of variation (CV)0.16985751
Kurtosis-1.1423968
Mean9.1344828
Median Absolute Deviation (MAD)1.5
Skewness0.039517144
Sum264.9
Variance2.4073399
MonotonicityNot monotonic
2023-12-12T10:13:32.347659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10.7 3
 
10.3%
7.4 3
 
10.3%
9.8 2
 
6.9%
9.2 2
 
6.9%
11.0 1
 
3.4%
7.8 1
 
3.4%
12.0 1
 
3.4%
10.2 1
 
3.4%
10.8 1
 
3.4%
11.7 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
6.3 1
 
3.4%
7.2 1
 
3.4%
7.3 1
 
3.4%
7.4 3
10.3%
7.5 1
 
3.4%
7.7 1
 
3.4%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.2 1
 
3.4%
8.5 1
 
3.4%
ValueCountFrequency (%)
12.0 1
 
3.4%
11.7 1
 
3.4%
11.0 1
 
3.4%
10.8 1
 
3.4%
10.7 3
10.3%
10.4 1
 
3.4%
10.2 1
 
3.4%
10.1 1
 
3.4%
10.0 1
 
3.4%
9.8 2
6.9%

2016-04
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1482759
Minimum6.3
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:32.508461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.14
Q17.7
median9.3
Q310.5
95-th percentile11.48
Maximum11.8
Range5.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.5866903
Coefficient of variation (CV)0.17344146
Kurtosis-1.2685688
Mean9.1482759
Median Absolute Deviation (MAD)1.4
Skewness0.013093386
Sum265.3
Variance2.5175862
MonotonicityNot monotonic
2023-12-12T10:13:32.713414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10.0 2
 
6.9%
9.3 2
 
6.9%
7.4 2
 
6.9%
8.6 1
 
3.4%
9.1 1
 
3.4%
7.1 1
 
3.4%
9.7 1
 
3.4%
11.8 1
 
3.4%
10.7 1
 
3.4%
10.9 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
6.3 1
3.4%
7.1 1
3.4%
7.2 1
3.4%
7.3 1
3.4%
7.4 2
6.9%
7.5 1
3.4%
7.7 1
3.4%
7.8 1
3.4%
7.9 1
3.4%
8.3 1
3.4%
ValueCountFrequency (%)
11.8 1
3.4%
11.6 1
3.4%
11.3 1
3.4%
11.2 1
3.4%
10.9 1
3.4%
10.7 1
3.4%
10.6 1
3.4%
10.5 1
3.4%
10.4 1
3.4%
10.0 2
6.9%

2016-05
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0793103
Minimum6.3
Maximum11.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:32.918884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile6.96
Q17.6
median9.3
Q310.5
95-th percentile11.32
Maximum11.9
Range5.6
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.586636
Coefficient of variation (CV)0.17475292
Kurtosis-1.2489659
Mean9.0793103
Median Absolute Deviation (MAD)1.4
Skewness0.0035279501
Sum263.3
Variance2.5174138
MonotonicityNot monotonic
2023-12-12T10:13:33.080198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10.9 2
 
6.9%
7.3 2
 
6.9%
7.4 2
 
6.9%
10.7 2
 
6.9%
8.6 1
 
3.4%
6.8 1
 
3.4%
9.6 1
 
3.4%
11.9 1
 
3.4%
10.6 1
 
3.4%
11.6 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
6.3 1
3.4%
6.8 1
3.4%
7.2 1
3.4%
7.3 2
6.9%
7.4 2
6.9%
7.6 1
3.4%
7.7 1
3.4%
7.8 1
3.4%
8.2 1
3.4%
8.5 1
3.4%
ValueCountFrequency (%)
11.9 1
3.4%
11.6 1
3.4%
10.9 2
6.9%
10.7 2
6.9%
10.6 1
3.4%
10.5 1
3.4%
10.4 1
3.4%
10.1 1
3.4%
10.0 1
3.4%
9.7 1
3.4%

2016-06
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.1344828
Minimum6.3
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:33.271549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.2
Q17.6
median9.3
Q310.5
95-th percentile11.42
Maximum11.8
Range5.5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5920059
Coefficient of variation (CV)0.17428528
Kurtosis-1.3188268
Mean9.1344828
Median Absolute Deviation (MAD)1.5
Skewness0.017621652
Sum264.9
Variance2.5344828
MonotonicityNot monotonic
2023-12-12T10:13:33.450347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7.3 2
 
6.9%
10.7 2
 
6.9%
7.2 2
 
6.9%
7.8 2
 
6.9%
8.6 1
 
3.4%
9.4 1
 
3.4%
9.6 1
 
3.4%
11.8 1
 
3.4%
11.0 1
 
3.4%
11.5 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
6.3 1
3.4%
7.2 2
6.9%
7.3 2
6.9%
7.4 1
3.4%
7.5 1
3.4%
7.6 1
3.4%
7.8 2
6.9%
8.2 1
3.4%
8.5 1
3.4%
8.6 1
3.4%
ValueCountFrequency (%)
11.8 1
3.4%
11.5 1
3.4%
11.3 1
3.4%
11.1 1
3.4%
11.0 1
3.4%
10.7 2
6.9%
10.5 1
3.4%
10.4 1
3.4%
10.1 1
3.4%
10.0 1
3.4%

2016-07
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.0965517
Minimum6.4
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:33.629481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.4
5-th percentile7.3
Q17.5
median9.2
Q310.5
95-th percentile11.36
Maximum11.7
Range5.3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5580397
Coefficient of variation (CV)0.17127806
Kurtosis-1.3568777
Mean9.0965517
Median Absolute Deviation (MAD)1.4
Skewness0.056900228
Sum263.8
Variance2.4274877
MonotonicityNot monotonic
2023-12-12T10:13:33.781125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7.3 4
 
13.8%
9.9 2
 
6.9%
9.2 2
 
6.9%
7.4 2
 
6.9%
7.8 2
 
6.9%
8.5 1
 
3.4%
8.4 1
 
3.4%
9.5 1
 
3.4%
11.7 1
 
3.4%
10.6 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.4 1
 
3.4%
7.3 4
13.8%
7.4 2
6.9%
7.5 1
 
3.4%
7.8 2
6.9%
8.3 1
 
3.4%
8.4 1
 
3.4%
8.5 1
 
3.4%
8.9 1
 
3.4%
9.2 2
6.9%
ValueCountFrequency (%)
11.7 1
3.4%
11.4 1
3.4%
11.3 1
3.4%
11.0 1
3.4%
10.9 1
3.4%
10.7 1
3.4%
10.6 1
3.4%
10.5 1
3.4%
10.4 1
3.4%
10.0 1
3.4%

2016-08
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9724138
Minimum6.3
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:33.927850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.14
Q17.5
median9.1
Q310.4
95-th percentile11.24
Maximum11.8
Range5.5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5120697
Coefficient of variation (CV)0.16852429
Kurtosis-1.1687959
Mean8.9724138
Median Absolute Deviation (MAD)1.3
Skewness0.066892969
Sum260.2
Variance2.2863547
MonotonicityNot monotonic
2023-12-12T10:13:34.081840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
10.4 4
 
13.8%
7.2 3
 
10.3%
8.4 2
 
6.9%
9.8 2
 
6.9%
7.4 2
 
6.9%
7.7 2
 
6.9%
8.9 1
 
3.4%
9.4 1
 
3.4%
11.8 1
 
3.4%
10.0 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
6.3 1
 
3.4%
7.1 1
 
3.4%
7.2 3
10.3%
7.4 2
6.9%
7.5 1
 
3.4%
7.7 2
6.9%
8.2 1
 
3.4%
8.4 2
6.9%
8.9 1
 
3.4%
9.1 1
 
3.4%
ValueCountFrequency (%)
11.8 1
 
3.4%
11.4 1
 
3.4%
11.0 1
 
3.4%
10.6 1
 
3.4%
10.4 4
13.8%
10.0 1
 
3.4%
9.9 1
 
3.4%
9.8 2
6.9%
9.4 1
 
3.4%
9.2 1
 
3.4%

2016-09
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9482759
Minimum6.3
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:34.222435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.3
5-th percentile7.04
Q17.6
median9.1
Q310.3
95-th percentile11.1
Maximum11.7
Range5.4
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5124768
Coefficient of variation (CV)0.16902439
Kurtosis-1.2246178
Mean8.9482759
Median Absolute Deviation (MAD)1.4
Skewness0.055525182
Sum259.5
Variance2.2875862
MonotonicityNot monotonic
2023-12-12T10:13:34.381742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.1 3
 
10.3%
9.1 2
 
6.9%
10.3 2
 
6.9%
7.6 2
 
6.9%
10.6 2
 
6.9%
10.5 2
 
6.9%
11.1 2
 
6.9%
8.3 1
 
3.4%
8.8 1
 
3.4%
7.9 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
6.3 1
 
3.4%
7.0 1
 
3.4%
7.1 3
10.3%
7.3 1
 
3.4%
7.6 2
6.9%
7.7 1
 
3.4%
7.9 1
 
3.4%
8.1 1
 
3.4%
8.3 1
 
3.4%
8.4 1
 
3.4%
ValueCountFrequency (%)
11.7 1
3.4%
11.1 2
6.9%
10.6 2
6.9%
10.5 2
6.9%
10.3 2
6.9%
9.8 1
3.4%
9.7 1
3.4%
9.5 1
3.4%
9.3 1
3.4%
9.1 2
6.9%

2016-10
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9
Minimum6.1
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:34.566755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile6.94
Q17.4
median9
Q310.4
95-th percentile11.02
Maximum11.6
Range5.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5478095
Coefficient of variation (CV)0.17391118
Kurtosis-1.2645108
Mean8.9
Median Absolute Deviation (MAD)1.4
Skewness0.00018620707
Sum258.1
Variance2.3957143
MonotonicityNot monotonic
2023-12-12T10:13:34.718794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.0 3
 
10.3%
8.3 2
 
6.9%
7.0 2
 
6.9%
7.4 2
 
6.9%
10.6 2
 
6.9%
10.4 2
 
6.9%
10.7 1
 
3.4%
7.8 1
 
3.4%
9.3 1
 
3.4%
11.6 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.1 1
3.4%
6.9 1
3.4%
7.0 2
6.9%
7.1 1
3.4%
7.3 1
3.4%
7.4 2
6.9%
7.6 1
3.4%
7.8 1
3.4%
8.1 1
3.4%
8.3 2
6.9%
ValueCountFrequency (%)
11.6 1
3.4%
11.1 1
3.4%
10.9 1
3.4%
10.7 1
3.4%
10.6 2
6.9%
10.4 2
6.9%
10.3 1
3.4%
9.8 1
3.4%
9.6 1
3.4%
9.5 1
3.4%

2016-11
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8758621
Minimum6
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:34.860356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.84
Q17.4
median9.1
Q310.5
95-th percentile11.1
Maximum11.5
Range5.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.61702
Coefficient of variation (CV)0.18218174
Kurtosis-1.3461828
Mean8.8758621
Median Absolute Deviation (MAD)1.6
Skewness-0.0053614644
Sum257.4
Variance2.6147537
MonotonicityNot monotonic
2023-12-12T10:13:35.017914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.2 2
 
6.9%
6.9 2
 
6.9%
10.6 2
 
6.9%
11.1 2
 
6.9%
7.5 2
 
6.9%
10.5 1
 
3.4%
9.2 1
 
3.4%
11.5 1
 
3.4%
10.7 1
 
3.4%
9.4 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
6.0 1
3.4%
6.8 1
3.4%
6.9 2
6.9%
7.0 1
3.4%
7.2 1
3.4%
7.3 1
3.4%
7.4 1
3.4%
7.5 2
6.9%
8.0 1
3.4%
8.2 2
6.9%
ValueCountFrequency (%)
11.5 1
3.4%
11.1 2
6.9%
10.9 1
3.4%
10.7 1
3.4%
10.6 2
6.9%
10.5 1
3.4%
10.2 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.4 1
3.4%

2016-12
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8896552
Minimum6.1
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:35.531104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.1
5-th percentile6.9
Q17.4
median9
Q310.3
95-th percentile11.16
Maximum11.4
Range5.3
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6138563
Coefficient of variation (CV)0.18154318
Kurtosis-1.3724217
Mean8.8896552
Median Absolute Deviation (MAD)1.6
Skewness0.047457891
Sum257.8
Variance2.604532
MonotonicityNot monotonic
2023-12-12T10:13:35.715971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7.0 2
 
6.9%
6.9 2
 
6.9%
7.2 2
 
6.9%
8.1 2
 
6.9%
10.7 2
 
6.9%
8.2 1
 
3.4%
9.1 1
 
3.4%
7.7 1
 
3.4%
9.3 1
 
3.4%
11.4 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
6.1 1
3.4%
6.9 2
6.9%
7.0 2
6.9%
7.2 2
6.9%
7.4 1
3.4%
7.5 1
3.4%
7.7 1
3.4%
8.1 2
6.9%
8.2 1
3.4%
8.9 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.2 1
3.4%
11.1 1
3.4%
11.0 1
3.4%
10.9 1
3.4%
10.7 2
6.9%
10.3 1
3.4%
10.2 1
3.4%
9.8 1
3.4%
9.7 1
3.4%

2017-01
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8655172
Minimum6
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:35.881742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.9
Q17.4
median9
Q310.2
95-th percentile11.16
Maximum11.4
Range5.4
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.6167153
Coefficient of variation (CV)0.18235996
Kurtosis-1.291584
Mean8.8655172
Median Absolute Deviation (MAD)1.4
Skewness0.049583313
Sum257.1
Variance2.6137685
MonotonicityNot monotonic
2023-12-12T10:13:36.078919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.9 3
 
10.3%
8.2 2
 
6.9%
9.1 2
 
6.9%
9.0 2
 
6.9%
10.2 2
 
6.9%
7.6 2
 
6.9%
11.1 2
 
6.9%
9.2 1
 
3.4%
11.4 1
 
3.4%
11.0 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
6.0 1
 
3.4%
6.9 3
10.3%
7.0 1
 
3.4%
7.1 1
 
3.4%
7.2 1
 
3.4%
7.4 1
 
3.4%
7.6 2
6.9%
8.1 1
 
3.4%
8.2 2
6.9%
9.0 2
6.9%
ValueCountFrequency (%)
11.4 1
3.4%
11.2 1
3.4%
11.1 2
6.9%
11.0 1
3.4%
10.7 1
3.4%
10.4 1
3.4%
10.2 2
6.9%
9.7 1
3.4%
9.6 1
3.4%
9.2 1
3.4%

2017-02
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8724138
Minimum6
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:36.230566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile6.9
Q17.2
median9.1
Q310.2
95-th percentile11.3
Maximum11.6
Range5.6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6214845
Coefficient of variation (CV)0.18275573
Kurtosis-1.2459985
Mean8.8724138
Median Absolute Deviation (MAD)1.6
Skewness0.0076223077
Sum257.3
Variance2.6292118
MonotonicityNot monotonic
2023-12-12T10:13:36.398641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6.9 3
 
10.3%
9.8 2
 
6.9%
9.2 2
 
6.9%
7.2 2
 
6.9%
11.3 2
 
6.9%
9.1 2
 
6.9%
8.3 1
 
3.4%
10.2 1
 
3.4%
7.1 1
 
3.4%
9.4 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
6.0 1
 
3.4%
6.9 3
10.3%
7.0 1
 
3.4%
7.1 1
 
3.4%
7.2 2
6.9%
7.4 1
 
3.4%
7.5 1
 
3.4%
8.2 1
 
3.4%
8.3 1
 
3.4%
8.4 1
 
3.4%
ValueCountFrequency (%)
11.6 1
3.4%
11.3 2
6.9%
10.9 1
3.4%
10.7 1
3.4%
10.4 1
3.4%
10.3 1
3.4%
10.2 1
3.4%
10.0 1
3.4%
9.8 2
6.9%
9.4 1
3.4%

2017-03
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8
Minimum5.9
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:36.525016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.8
Q17.2
median9.1
Q310.1
95-th percentile11.24
Maximum11.5
Range5.6
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6100133
Coefficient of variation (CV)0.18295606
Kurtosis-1.2235798
Mean8.8
Median Absolute Deviation (MAD)1.6
Skewness-0.011857074
Sum255.2
Variance2.5921429
MonotonicityNot monotonic
2023-12-12T10:13:36.666072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8.3 2
 
6.9%
9.1 2
 
6.9%
10.2 2
 
6.9%
7.1 2
 
6.9%
6.8 2
 
6.9%
7.2 2
 
6.9%
10.7 2
 
6.9%
10.1 1
 
3.4%
9.3 1
 
3.4%
11.5 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.9 1
3.4%
6.8 2
6.9%
6.9 1
3.4%
7.0 1
3.4%
7.1 2
6.9%
7.2 2
6.9%
7.4 1
3.4%
8.2 1
3.4%
8.3 2
6.9%
9.0 1
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.4 1
3.4%
11.0 1
3.4%
10.7 2
6.9%
10.2 2
6.9%
10.1 1
3.4%
10.0 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.3 1
3.4%

2017-04
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.8103448
Minimum5.9
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:36.832194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.84
Q17.3
median9.1
Q39.8
95-th percentile11.16
Maximum11.6
Range5.7
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation1.5850518
Coefficient of variation (CV)0.17990803
Kurtosis-1.1370322
Mean8.8103448
Median Absolute Deviation (MAD)1.6
Skewness0.0089948575
Sum255.5
Variance2.5123892
MonotonicityNot monotonic
2023-12-12T10:13:36.971575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8.2 2
 
6.9%
9.8 2
 
6.9%
9.1 2
 
6.9%
10.3 2
 
6.9%
7.0 2
 
6.9%
7.3 2
 
6.9%
10.8 2
 
6.9%
9.7 2
 
6.9%
8.9 1
 
3.4%
9.4 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.9 1
3.4%
6.8 1
3.4%
6.9 1
3.4%
7.0 2
6.9%
7.1 1
3.4%
7.2 1
3.4%
7.3 2
6.9%
7.4 1
3.4%
8.2 2
6.9%
8.5 1
3.4%
ValueCountFrequency (%)
11.6 1
3.4%
11.4 1
3.4%
10.8 2
6.9%
10.7 1
3.4%
10.3 2
6.9%
9.8 2
6.9%
9.7 2
6.9%
9.4 1
3.4%
9.3 1
3.4%
9.1 2
6.9%

2017-05
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7758621
Minimum5.9
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:37.116316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.78
Q17.1
median9
Q39.8
95-th percentile11.1
Maximum11.8
Range5.9
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.6052715
Coefficient of variation (CV)0.18291895
Kurtosis-1.1177431
Mean8.7758621
Median Absolute Deviation (MAD)1.6
Skewness0.074318281
Sum254.5
Variance2.5768966
MonotonicityNot monotonic
2023-12-12T10:13:37.300385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7.1 4
 
13.8%
9.7 3
 
10.3%
8.2 2
 
6.9%
10.8 2
 
6.9%
8.7 1
 
3.4%
7.0 1
 
3.4%
9.3 1
 
3.4%
11.8 1
 
3.4%
10.6 1
 
3.4%
11.3 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.9 1
 
3.4%
6.7 1
 
3.4%
6.9 1
 
3.4%
7.0 1
 
3.4%
7.1 4
13.8%
7.3 1
 
3.4%
7.4 1
 
3.4%
8.1 1
 
3.4%
8.2 2
6.9%
8.7 1
 
3.4%
ValueCountFrequency (%)
11.8 1
 
3.4%
11.3 1
 
3.4%
10.8 2
6.9%
10.6 1
 
3.4%
10.5 1
 
3.4%
10.2 1
 
3.4%
9.8 1
 
3.4%
9.7 3
10.3%
9.4 1
 
3.4%
9.3 1
 
3.4%

2017-06
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.7172414
Minimum5.9
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:37.476175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.74
Q17.2
median9
Q39.9
95-th percentile11.1
Maximum11.4
Range5.5
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5567982
Coefficient of variation (CV)0.1785884
Kurtosis-1.15196
Mean8.7172414
Median Absolute Deviation (MAD)1.4
Skewness-0.001293405
Sum252.8
Variance2.4236207
MonotonicityNot monotonic
2023-12-12T10:13:37.615030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.2 2
 
6.9%
9.7 2
 
6.9%
7.0 2
 
6.9%
7.2 2
 
6.9%
9.9 2
 
6.9%
9.0 1
 
3.4%
9.3 1
 
3.4%
11.4 1
 
3.4%
10.7 1
 
3.4%
10.8 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.9 1
3.4%
6.7 1
3.4%
6.8 1
3.4%
6.9 1
3.4%
7.0 2
6.9%
7.1 1
3.4%
7.2 2
6.9%
7.4 1
3.4%
8.2 2
6.9%
8.3 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.3 1
3.4%
10.8 1
3.4%
10.7 1
3.4%
10.4 1
3.4%
10.2 1
3.4%
9.9 2
6.9%
9.7 2
6.9%
9.5 1
3.4%
9.3 1
3.4%

2017-07
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.6793103
Minimum5.9
Maximum11.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:37.769202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.68
Q17.2
median8.9
Q39.8
95-th percentile11.14
Maximum11.8
Range5.9
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.6000847
Coefficient of variation (CV)0.1843562
Kurtosis-1.0235872
Mean8.6793103
Median Absolute Deviation (MAD)1.6
Skewness0.12504122
Sum251.7
Variance2.5602709
MonotonicityNot monotonic
2023-12-12T10:13:37.956426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6.9 3
 
10.3%
8.1 2
 
6.9%
7.2 2
 
6.9%
10.6 1
 
3.4%
9.2 1
 
3.4%
11.8 1
 
3.4%
9.9 1
 
3.4%
10.5 1
 
3.4%
10.9 1
 
3.4%
11.3 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.9 1
 
3.4%
6.6 1
 
3.4%
6.8 1
 
3.4%
6.9 3
10.3%
7.0 1
 
3.4%
7.2 2
6.9%
7.3 1
 
3.4%
8.1 2
6.9%
8.2 1
 
3.4%
8.7 1
 
3.4%
ValueCountFrequency (%)
11.8 1
3.4%
11.3 1
3.4%
10.9 1
3.4%
10.6 1
3.4%
10.5 1
3.4%
10.2 1
3.4%
9.9 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.6 1
3.4%

2017-08
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5827586
Minimum5.9
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:38.108566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.9
5-th percentile6.64
Q17
median8.8
Q39.6
95-th percentile10.92
Maximum11.5
Range5.6
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.5510524
Coefficient of variation (CV)0.18071723
Kurtosis-1.063984
Mean8.5827586
Median Absolute Deviation (MAD)1.3
Skewness0.079376231
Sum248.9
Variance2.4057635
MonotonicityNot monotonic
2023-12-12T10:13:38.254058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.0 2
 
6.9%
9.6 2
 
6.9%
6.7 2
 
6.9%
6.8 2
 
6.9%
10.5 2
 
6.9%
8.8 2
 
6.9%
10.4 1
 
3.4%
7.6 1
 
3.4%
9.1 1
 
3.4%
11.5 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.9 1
3.4%
6.6 1
3.4%
6.7 2
6.9%
6.8 2
6.9%
6.9 1
3.4%
7.0 1
3.4%
7.3 1
3.4%
7.6 1
3.4%
8.0 2
6.9%
8.1 1
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.2 1
3.4%
10.5 2
6.9%
10.4 1
3.4%
10.1 1
3.4%
9.8 1
3.4%
9.6 2
6.9%
9.5 1
3.4%
9.4 1
3.4%
9.1 1
3.4%

2017-09
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.5137931
Minimum5.8
Maximum11.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:38.399873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.54
Q17.1
median8.7
Q39.8
95-th percentile10.88
Maximum11.6
Range5.8
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5943481
Coefficient of variation (CV)0.18726648
Kurtosis-1.071308
Mean8.5137931
Median Absolute Deviation (MAD)1.5
Skewness0.097157452
Sum246.9
Variance2.5419458
MonotonicityNot monotonic
2023-12-12T10:13:38.533133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
6.6 3
 
10.3%
9.1 2
 
6.9%
10.4 2
 
6.9%
8.7 2
 
6.9%
7.2 2
 
6.9%
7.9 1
 
3.4%
9.8 1
 
3.4%
11.6 1
 
3.4%
11.2 1
 
3.4%
8.0 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.8 1
 
3.4%
6.5 1
 
3.4%
6.6 3
10.3%
6.7 1
 
3.4%
6.8 1
 
3.4%
7.1 1
 
3.4%
7.2 2
6.9%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.0 1
 
3.4%
ValueCountFrequency (%)
11.6 1
3.4%
11.2 1
3.4%
10.4 2
6.9%
10.3 1
3.4%
10.0 1
3.4%
9.9 1
3.4%
9.8 1
3.4%
9.6 1
3.4%
9.4 1
3.4%
9.1 2
6.9%

2017-10
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4758621
Minimum5.8
Maximum11.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:38.690135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.4
Q17
median8.7
Q39.7
95-th percentile10.88
Maximum11.7
Range5.9
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.6295607
Coefficient of variation (CV)0.19225899
Kurtosis-1.0490092
Mean8.4758621
Median Absolute Deviation (MAD)1.4
Skewness0.10266752
Sum245.8
Variance2.655468
MonotonicityNot monotonic
2023-12-12T10:13:38.847931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.3 2
 
6.9%
10.4 2
 
6.9%
6.5 2
 
6.9%
6.4 2
 
6.9%
9.1 2
 
6.9%
10.3 1
 
3.4%
7.3 1
 
3.4%
11.7 1
 
3.4%
11.2 1
 
3.4%
8.6 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.8 1
3.4%
6.4 2
6.9%
6.5 2
6.9%
6.6 1
3.4%
6.7 1
3.4%
7.0 1
3.4%
7.1 1
3.4%
7.3 1
3.4%
7.7 1
3.4%
7.9 1
3.4%
ValueCountFrequency (%)
11.7 1
3.4%
11.2 1
3.4%
10.4 2
6.9%
10.3 1
3.4%
10.0 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.5 1
3.4%
9.3 2
6.9%
9.1 2
6.9%

2017-11
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4241379
Minimum5.8
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:39.007540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.4
Q16.7
median8.6
Q39.6
95-th percentile10.94
Maximum11.5
Range5.7
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6685441
Coefficient of variation (CV)0.19806704
Kurtosis-1.2132511
Mean8.4241379
Median Absolute Deviation (MAD)1.6
Skewness0.078198769
Sum244.3
Variance2.7840394
MonotonicityNot monotonic
2023-12-12T10:13:39.154851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6.4 4
 
13.8%
9.2 2
 
6.9%
6.5 2
 
6.9%
9.3 2
 
6.9%
7.0 2
 
6.9%
7.8 1
 
3.4%
11.5 1
 
3.4%
10.3 1
 
3.4%
10.4 1
 
3.4%
11.3 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.8 1
 
3.4%
6.4 4
13.8%
6.5 2
6.9%
6.7 1
 
3.4%
7.0 2
6.9%
7.7 1
 
3.4%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.5 1
 
3.4%
8.6 1
 
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.3 1
3.4%
10.4 1
3.4%
10.3 1
3.4%
10.2 1
3.4%
10.1 1
3.4%
10.0 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 2
6.9%

2017-12
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3931034
Minimum5.6
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:39.322596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.3
Q16.7
median8.6
Q39.5
95-th percentile10.78
Maximum11.5
Range5.9
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.6703146
Coefficient of variation (CV)0.19901036
Kurtosis-1.1957814
Mean8.3931034
Median Absolute Deviation (MAD)1.5
Skewness0.015510346
Sum243.4
Variance2.7899507
MonotonicityNot monotonic
2023-12-12T10:13:39.482318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.3 3
 
10.3%
9.3 2
 
6.9%
10.1 2
 
6.9%
9.5 2
 
6.9%
10.3 2
 
6.9%
6.4 2
 
6.9%
7.0 2
 
6.9%
11.5 1
 
3.4%
11.1 1
 
3.4%
8.2 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.6 1
 
3.4%
6.3 3
10.3%
6.4 2
6.9%
6.6 1
 
3.4%
6.7 1
 
3.4%
7.0 2
6.9%
7.8 1
 
3.4%
7.9 1
 
3.4%
8.0 1
 
3.4%
8.2 1
 
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.1 1
3.4%
10.3 2
6.9%
10.1 2
6.9%
10.0 1
3.4%
9.5 2
6.9%
9.4 1
3.4%
9.3 2
6.9%
9.1 1
3.4%
8.8 1
3.4%

2018-01
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3689655
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:39.645616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.12
Q16.7
median8.4
Q39.7
95-th percentile10.76
Maximum11.4
Range5.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6763275
Coefficient of variation (CV)0.20030283
Kurtosis-1.2754814
Mean8.3689655
Median Absolute Deviation (MAD)1.6
Skewness0.037552256
Sum242.7
Variance2.8100739
MonotonicityNot monotonic
2023-12-12T10:13:39.811019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
7.8 2
 
6.9%
6.4 2
 
6.9%
10.2 2
 
6.9%
9.7 1
 
3.4%
6.0 1
 
3.4%
9.4 1
 
3.4%
11.4 1
 
3.4%
10.3 1
 
3.4%
10.4 1
 
3.4%
11.0 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
5.7 1
3.4%
6.0 1
3.4%
6.3 1
3.4%
6.4 2
6.9%
6.5 1
3.4%
6.6 1
3.4%
6.7 1
3.4%
6.8 1
3.4%
7.0 1
3.4%
7.8 2
6.9%
ValueCountFrequency (%)
11.4 1
3.4%
11.0 1
3.4%
10.4 1
3.4%
10.3 1
3.4%
10.2 2
6.9%
10.0 1
3.4%
9.7 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.3 1
3.4%

2018-02
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3689655
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:39.955438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.18
Q16.8
median8.5
Q39.7
95-th percentile10.66
Maximum11.4
Range5.7
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6290013
Coefficient of variation (CV)0.19464787
Kurtosis-1.2194296
Mean8.3689655
Median Absolute Deviation (MAD)1.5
Skewness-0.00028710743
Sum242.7
Variance2.6536453
MonotonicityNot monotonic
2023-12-12T10:13:40.107782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.9 2
 
6.9%
9.7 2
 
6.9%
8.8 2
 
6.9%
10.0 2
 
6.9%
6.4 2
 
6.9%
10.3 2
 
6.9%
7.0 2
 
6.9%
9.4 2
 
6.9%
6.1 1
 
3.4%
11.4 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.7 1
3.4%
6.1 1
3.4%
6.3 1
3.4%
6.4 2
6.9%
6.5 1
3.4%
6.6 1
3.4%
6.8 1
3.4%
7.0 2
6.9%
7.8 1
3.4%
7.9 2
6.9%
ValueCountFrequency (%)
11.4 1
3.4%
10.9 1
3.4%
10.3 2
6.9%
10.0 2
6.9%
9.7 2
6.9%
9.5 1
3.4%
9.4 2
6.9%
9.2 1
3.4%
8.8 2
6.9%
8.5 1
3.4%

2018-03
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4586207
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:40.281864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.18
Q16.9
median8.6
Q39.8
95-th percentile11.02
Maximum11.4
Range5.7
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6768417
Coefficient of variation (CV)0.19824056
Kurtosis-1.2130398
Mean8.4586207
Median Absolute Deviation (MAD)1.6
Skewness0.015632742
Sum245.3
Variance2.811798
MonotonicityNot monotonic
2023-12-12T10:13:40.441426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
7.9 2
 
6.9%
9.6 2
 
6.9%
6.5 2
 
6.9%
6.6 2
 
6.9%
7.0 2
 
6.9%
9.8 2
 
6.9%
8.6 2
 
6.9%
10.4 1
 
3.4%
6.1 1
 
3.4%
9.4 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.7 1
3.4%
6.1 1
3.4%
6.3 1
3.4%
6.5 2
6.9%
6.6 2
6.9%
6.9 1
3.4%
7.0 2
6.9%
7.9 2
6.9%
8.0 1
3.4%
8.6 2
6.9%
ValueCountFrequency (%)
11.4 1
3.4%
11.3 1
3.4%
10.6 1
3.4%
10.4 1
3.4%
10.2 1
3.4%
10.1 1
3.4%
9.8 2
6.9%
9.6 2
6.9%
9.4 1
3.4%
9.2 1
3.4%

2018-04
Real number (ℝ)

Distinct26
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4551724
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:40.572314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.12
Q16.7
median8.7
Q39.7
95-th percentile11.02
Maximum11.4
Range5.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7018029
Coefficient of variation (CV)0.20127359
Kurtosis-1.2280272
Mean8.4551724
Median Absolute Deviation (MAD)1.6
Skewness-0.025271086
Sum245.2
Variance2.896133
MonotonicityNot monotonic
2023-12-12T10:13:40.767290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
8.9 2
 
6.9%
6.4 2
 
6.9%
7.0 2
 
6.9%
7.9 1
 
3.4%
8.6 1
 
3.4%
6.0 1
 
3.4%
9.4 1
 
3.4%
11.4 1
 
3.4%
9.9 1
 
3.4%
10.3 1
 
3.4%
Other values (16) 16
55.2%
ValueCountFrequency (%)
5.7 1
3.4%
6.0 1
3.4%
6.3 1
3.4%
6.4 2
6.9%
6.5 1
3.4%
6.6 1
3.4%
6.7 1
3.4%
7.0 2
6.9%
7.9 1
3.4%
8.0 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.3 1
3.4%
10.6 1
3.4%
10.4 1
3.4%
10.3 1
3.4%
10.1 1
3.4%
9.9 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.5 1
3.4%

2018-05
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.462069
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:40.942034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.12
Q16.8
median8.6
Q39.9
95-th percentile10.98
Maximum11.4
Range5.7
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6699901
Coefficient of variation (CV)0.1973501
Kurtosis-1.185289
Mean8.462069
Median Absolute Deviation (MAD)1.5
Skewness-0.010900885
Sum245.4
Variance2.788867
MonotonicityNot monotonic
2023-12-12T10:13:41.093818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9.3 2
 
6.9%
10.1 2
 
6.9%
6.5 2
 
6.9%
6.6 2
 
6.9%
8.4 1
 
3.4%
6.0 1
 
3.4%
11.4 1
 
3.4%
9.9 1
 
3.4%
10.5 1
 
3.4%
11.3 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.7 1
3.4%
6.0 1
3.4%
6.3 1
3.4%
6.5 2
6.9%
6.6 2
6.9%
6.8 1
3.4%
7.1 1
3.4%
7.2 1
3.4%
7.9 1
3.4%
8.0 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.3 1
3.4%
10.5 1
3.4%
10.3 1
3.4%
10.1 2
6.9%
10.0 1
3.4%
9.9 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 2
6.9%

2018-06
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4413793
Minimum5.8
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:41.241280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.12
Q16.8
median8.7
Q39.8
95-th percentile11.04
Maximum11.4
Range5.6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6706537
Coefficient of variation (CV)0.19791241
Kurtosis-1.15518
Mean8.4413793
Median Absolute Deviation (MAD)1.5
Skewness0.054529772
Sum244.8
Variance2.7910837
MonotonicityNot monotonic
2023-12-12T10:13:41.370307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9.5 2
 
6.9%
8.8 2
 
6.9%
6.5 2
 
6.9%
6.6 2
 
6.9%
11.4 2
 
6.9%
10.5 2
 
6.9%
9.2 2
 
6.9%
9.8 2
 
6.9%
7.8 1
 
3.4%
8.5 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.8 1
3.4%
6.0 1
3.4%
6.3 1
3.4%
6.5 2
6.9%
6.6 2
6.9%
6.8 1
3.4%
7.0 1
3.4%
7.1 1
3.4%
7.8 1
3.4%
7.9 1
3.4%
ValueCountFrequency (%)
11.4 2
6.9%
10.5 2
6.9%
10.2 1
3.4%
10.0 1
3.4%
9.8 2
6.9%
9.5 2
6.9%
9.2 2
6.9%
8.8 2
6.9%
8.7 1
3.4%
8.5 1
3.4%

2018-07
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.4172414
Minimum5.8
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:41.497905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.22
Q16.7
median8.6
Q39.6
95-th percentile10.94
Maximum11.3
Range5.5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6179946
Coefficient of variation (CV)0.19222385
Kurtosis-1.1267861
Mean8.4172414
Median Absolute Deviation (MAD)1.4
Skewness0.021349044
Sum244.1
Variance2.6179064
MonotonicityNot monotonic
2023-12-12T10:13:41.660755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
10.0 2
 
6.9%
6.6 2
 
6.9%
6.4 2
 
6.9%
11.3 2
 
6.9%
7.8 1
 
3.4%
8.5 1
 
3.4%
6.1 1
 
3.4%
9.0 1
 
3.4%
9.6 1
 
3.4%
10.2 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.8 1
3.4%
6.1 1
3.4%
6.4 2
6.9%
6.5 1
3.4%
6.6 2
6.9%
6.7 1
3.4%
7.0 1
3.4%
7.4 1
3.4%
7.8 1
3.4%
8.0 1
3.4%
ValueCountFrequency (%)
11.3 2
6.9%
10.4 1
3.4%
10.2 1
3.4%
10.0 2
6.9%
9.9 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.0 1
3.4%

2018-08
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3517241
Minimum5.8
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:41.823238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.3
Q16.7
median8.5
Q39.5
95-th percentile10.9
Maximum11.3
Range5.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.6156866
Coefficient of variation (CV)0.19345546
Kurtosis-1.1229151
Mean8.3517241
Median Absolute Deviation (MAD)1.5
Skewness0.074025113
Sum242.2
Variance2.6104433
MonotonicityNot monotonic
2023-12-12T10:13:41.980776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
9.3 2
 
6.9%
6.4 2
 
6.9%
6.5 2
 
6.9%
6.3 2
 
6.9%
11.3 2
 
6.9%
8.9 2
 
6.9%
8.4 1
 
3.4%
9.5 1
 
3.4%
10.0 1
 
3.4%
10.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.8 1
3.4%
6.3 2
6.9%
6.4 2
6.9%
6.5 2
6.9%
6.7 1
3.4%
6.9 1
3.4%
7.0 1
3.4%
7.7 1
3.4%
8.0 1
3.4%
8.1 1
3.4%
ValueCountFrequency (%)
11.3 2
6.9%
10.3 1
3.4%
10.1 1
3.4%
10.0 1
3.4%
9.9 1
3.4%
9.8 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.3 2
6.9%
8.9 2
6.9%

2018-09
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3241379
Minimum5.7
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:42.143062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.3
Q16.6
median8.4
Q39.5
95-th percentile10.86
Maximum11.3
Range5.6
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6321885
Coefficient of variation (CV)0.19607899
Kurtosis-1.1307941
Mean8.3241379
Median Absolute Deviation (MAD)1.4
Skewness0.08727588
Sum241.4
Variance2.6640394
MonotonicityNot monotonic
2023-12-12T10:13:42.281529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
8.4 2
 
6.9%
10.2 2
 
6.9%
9.8 2
 
6.9%
6.4 2
 
6.9%
6.3 2
 
6.9%
11.3 2
 
6.9%
6.5 2
 
6.9%
9.3 2
 
6.9%
7.7 1
 
3.4%
8.8 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.7 1
3.4%
6.3 2
6.9%
6.4 2
6.9%
6.5 2
6.9%
6.6 1
3.4%
6.7 1
3.4%
7.0 1
3.4%
7.7 1
3.4%
7.9 1
3.4%
8.0 1
3.4%
ValueCountFrequency (%)
11.3 2
6.9%
10.2 2
6.9%
10.1 1
3.4%
9.8 2
6.9%
9.5 1
3.4%
9.4 1
3.4%
9.3 2
6.9%
8.9 1
3.4%
8.8 1
3.4%
8.7 1
3.4%

2018-10
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2448276
Minimum5.7
Maximum11.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:42.426835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.3
Q16.6
median8.3
Q39.5
95-th percentile10.74
Maximum11.2
Range5.5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6023613
Coefficient of variation (CV)0.19434745
Kurtosis-1.1591443
Mean8.2448276
Median Absolute Deviation (MAD)1.4
Skewness0.12757058
Sum239.1
Variance2.5675616
MonotonicityNot monotonic
2023-12-12T10:13:42.609658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.3 3
 
10.3%
7.6 2
 
6.9%
8.6 2
 
6.9%
6.5 2
 
6.9%
10.1 2
 
6.9%
9.3 2
 
6.9%
8.3 2
 
6.9%
10.2 1
 
3.4%
6.7 1
 
3.4%
11.2 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.7 1
 
3.4%
6.3 3
10.3%
6.4 1
 
3.4%
6.5 2
6.9%
6.6 1
 
3.4%
6.7 1
 
3.4%
6.9 1
 
3.4%
7.6 2
6.9%
7.9 1
 
3.4%
8.3 2
6.9%
ValueCountFrequency (%)
11.2 1
3.4%
11.1 1
3.4%
10.2 1
3.4%
10.1 2
6.9%
9.7 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 2
6.9%
9.2 1
3.4%
8.7 1
3.4%

2018-11
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2103448
Minimum5.8
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:42.746659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.8
5-th percentile6.2
Q16.5
median8.4
Q39.5
95-th percentile10.72
Maximum11.3
Range5.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6202612
Coefficient of variation (CV)0.19734387
Kurtosis-1.1748993
Mean8.2103448
Median Absolute Deviation (MAD)1.4
Skewness0.111589
Sum238.1
Variance2.6252463
MonotonicityNot monotonic
2023-12-12T10:13:42.905278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6.2 3
 
10.3%
6.3 2
 
6.9%
6.5 2
 
6.9%
7.5 1
 
3.4%
8.9 1
 
3.4%
8.8 1
 
3.4%
11.3 1
 
3.4%
9.6 1
 
3.4%
9.8 1
 
3.4%
10.0 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.8 1
 
3.4%
6.2 3
10.3%
6.3 2
6.9%
6.5 2
6.9%
6.6 1
 
3.4%
6.9 1
 
3.4%
7.5 1
 
3.4%
7.6 1
 
3.4%
7.9 1
 
3.4%
8.2 1
 
3.4%
ValueCountFrequency (%)
11.3 1
3.4%
11.0 1
3.4%
10.3 1
3.4%
10.0 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 1
3.4%
9.2 1
3.4%

2018-12
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1551724
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:43.076386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.08
Q16.6
median8.3
Q39.5
95-th percentile10.5
Maximum11.4
Range5.7
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5929726
Coefficient of variation (CV)0.19533279
Kurtosis-1.0325996
Mean8.1551724
Median Absolute Deviation (MAD)1.4
Skewness0.1385193
Sum236.5
Variance2.5375616
MonotonicityNot monotonic
2023-12-12T10:13:43.234459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6.3 3
 
10.3%
7.5 2
 
6.9%
9.6 2
 
6.9%
9.9 2
 
6.9%
8.8 2
 
6.9%
6.8 2
 
6.9%
9.7 1
 
3.4%
11.4 1
 
3.4%
9.5 1
 
3.4%
10.9 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.7 1
 
3.4%
6.0 1
 
3.4%
6.2 1
 
3.4%
6.3 3
10.3%
6.4 1
 
3.4%
6.6 1
 
3.4%
6.8 2
6.9%
7.5 2
6.9%
7.9 1
 
3.4%
8.1 1
 
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
10.9 1
3.4%
9.9 2
6.9%
9.7 1
3.4%
9.6 2
6.9%
9.5 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
9.0 1
3.4%
8.8 2
6.9%

2019-01
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1655172
Minimum5.7
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:43.380492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.1
Q16.4
median8.3
Q39.6
95-th percentile10.6
Maximum11.3
Range5.6
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.6292583
Coefficient of variation (CV)0.1995291
Kurtosis-1.1458704
Mean8.1655172
Median Absolute Deviation (MAD)1.5
Skewness0.085308582
Sum236.8
Variance2.6544828
MonotonicityNot monotonic
2023-12-12T10:13:43.540527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.6 2
 
6.9%
6.2 2
 
6.9%
6.1 2
 
6.9%
6.3 2
 
6.9%
8.3 2
 
6.9%
7.5 1
 
3.4%
8.9 1
 
3.4%
8.8 1
 
3.4%
11.3 1
 
3.4%
9.7 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.7 1
3.4%
6.1 2
6.9%
6.2 2
6.9%
6.3 2
6.9%
6.4 1
3.4%
6.7 1
3.4%
6.8 1
3.4%
7.5 1
3.4%
7.7 1
3.4%
7.8 1
3.4%
ValueCountFrequency (%)
11.3 1
3.4%
11.0 1
3.4%
10.0 1
3.4%
9.9 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.6 2
6.9%
9.2 1
3.4%
9.1 1
3.4%
9.0 1
3.4%

2019-02
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2517241
Minimum5.7
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:44.061891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile5.98
Q16.5
median8.6
Q39.6
95-th percentile10.78
Maximum11.4
Range5.7
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6895943
Coefficient of variation (CV)0.20475652
Kurtosis-1.2112283
Mean8.2517241
Median Absolute Deviation (MAD)1.3
Skewness0.036962829
Sum239.3
Variance2.8547291
MonotonicityNot monotonic
2023-12-12T10:13:44.243969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7.8 2
 
6.9%
9.3 2
 
6.9%
9.9 2
 
6.9%
6.3 2
 
6.9%
9.1 2
 
6.9%
8.4 1
 
3.4%
5.9 1
 
3.4%
11.4 1
 
3.4%
10.3 1
 
3.4%
10.1 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.7 1
3.4%
5.9 1
3.4%
6.1 1
3.4%
6.2 1
3.4%
6.3 2
6.9%
6.4 1
3.4%
6.5 1
3.4%
6.6 1
3.4%
6.8 1
3.4%
7.6 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.1 1
3.4%
10.3 1
3.4%
10.1 1
3.4%
9.9 2
6.9%
9.7 1
3.4%
9.6 1
3.4%
9.3 2
6.9%
9.1 2
6.9%
8.8 1
3.4%

2019-03
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2724138
Minimum5.6
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:44.465781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.14
Q16.5
median8.7
Q39.6
95-th percentile10.74
Maximum11.5
Range5.9
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6640949
Coefficient of variation (CV)0.20116195
Kurtosis-1.1358709
Mean8.2724138
Median Absolute Deviation (MAD)1.2
Skewness0.061045782
Sum239.9
Variance2.7692118
MonotonicityNot monotonic
2023-12-12T10:13:44.650941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.1 2
 
6.9%
8.7 2
 
6.9%
6.4 2
 
6.9%
6.5 2
 
6.9%
9.7 2
 
6.9%
7.7 1
 
3.4%
11.5 1
 
3.4%
9.6 1
 
3.4%
10.2 1
 
3.4%
10.1 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.6 1
3.4%
6.1 1
3.4%
6.2 1
3.4%
6.3 1
3.4%
6.4 2
6.9%
6.5 2
6.9%
6.6 1
3.4%
6.8 1
3.4%
7.6 1
3.4%
7.7 1
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.1 1
3.4%
10.2 1
3.4%
10.1 1
3.4%
9.9 1
3.4%
9.7 2
6.9%
9.6 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.1 2
6.9%

2019-04
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3586207
Minimum5.6
Maximum11.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:44.821011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.18
Q16.7
median8.8
Q39.6
95-th percentile10.72
Maximum11.5
Range5.9
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6622956
Coefficient of variation (CV)0.198872
Kurtosis-1.1882873
Mean8.3586207
Median Absolute Deviation (MAD)1.2
Skewness-0.0087132825
Sum242.4
Variance2.7632266
MonotonicityNot monotonic
2023-12-12T10:13:44.980122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6.3 3
 
10.3%
7.9 2
 
6.9%
9.5 2
 
6.9%
8.8 2
 
6.9%
10.3 2
 
6.9%
6.9 2
 
6.9%
8.4 1
 
3.4%
9.1 1
 
3.4%
11.5 1
 
3.4%
9.8 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.6 1
 
3.4%
6.1 1
 
3.4%
6.3 3
10.3%
6.5 1
 
3.4%
6.6 1
 
3.4%
6.7 1
 
3.4%
6.9 2
6.9%
7.7 1
 
3.4%
7.9 2
6.9%
8.4 1
 
3.4%
ValueCountFrequency (%)
11.5 1
3.4%
11.0 1
3.4%
10.3 2
6.9%
10.0 1
3.4%
9.8 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.5 2
6.9%
9.4 1
3.4%
9.1 1
3.4%

2019-05
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3517241
Minimum5.6
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:45.141049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.14
Q16.7
median8.8
Q39.8
95-th percentile10.72
Maximum11.4
Range5.8
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.705374
Coefficient of variation (CV)0.20419424
Kurtosis-1.3419922
Mean8.3517241
Median Absolute Deviation (MAD)1.2
Skewness-0.036018924
Sum242.2
Variance2.9083005
MonotonicityNot monotonic
2023-12-12T10:13:45.299868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9.5 3
 
10.3%
8.8 2
 
6.9%
10.0 2
 
6.9%
6.2 2
 
6.9%
10.3 2
 
6.9%
6.8 2
 
6.9%
9.8 2
 
6.9%
7.7 1
 
3.4%
8.3 1
 
3.4%
9.1 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.6 1
3.4%
6.1 1
3.4%
6.2 2
6.9%
6.3 1
3.4%
6.4 1
3.4%
6.5 1
3.4%
6.7 1
3.4%
6.8 2
6.9%
7.6 1
3.4%
7.7 1
3.4%
ValueCountFrequency (%)
11.4 1
 
3.4%
11.0 1
 
3.4%
10.3 2
6.9%
10.0 2
6.9%
9.8 2
6.9%
9.5 3
10.3%
9.3 1
 
3.4%
9.1 1
 
3.4%
8.8 2
6.9%
8.3 1
 
3.4%

2019-06
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3689655
Minimum5.6
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:45.456838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.14
Q16.7
median8.8
Q39.7
95-th percentile10.82
Maximum11.4
Range5.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7198637
Coefficient of variation (CV)0.20550493
Kurtosis-1.3573715
Mean8.3689655
Median Absolute Deviation (MAD)1.4
Skewness-0.022810549
Sum242.7
Variance2.957931
MonotonicityNot monotonic
2023-12-12T10:13:45.618574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.8 2
 
6.9%
6.3 2
 
6.9%
10.2 2
 
6.9%
6.8 2
 
6.9%
9.4 2
 
6.9%
7.7 1
 
3.4%
9.9 1
 
3.4%
9.2 1
 
3.4%
11.4 1
 
3.4%
9.7 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.6 1
3.4%
6.1 1
3.4%
6.2 1
3.4%
6.3 2
6.9%
6.4 1
3.4%
6.5 1
3.4%
6.7 1
3.4%
6.8 2
6.9%
7.5 1
3.4%
7.7 1
3.4%
ValueCountFrequency (%)
11.4 1
3.4%
11.1 1
3.4%
10.4 1
3.4%
10.2 2
6.9%
10.0 1
3.4%
9.9 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.4 2
6.9%

2019-07
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.3551724
Minimum5.6
Maximum11.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:45.770325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.6
5-th percentile6.14
Q16.8
median8.8
Q39.8
95-th percentile10.76
Maximum11.4
Range5.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.7091322
Coefficient of variation (CV)0.20455978
Kurtosis-1.3562701
Mean8.3551724
Median Absolute Deviation (MAD)1.2
Skewness-0.041834252
Sum242.3
Variance2.921133
MonotonicityNot monotonic
2023-12-12T10:13:45.906118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
9.5 3
 
10.3%
6.3 3
 
10.3%
6.8 3
 
10.3%
9.3 2
 
6.9%
8.8 2
 
6.9%
10.0 2
 
6.9%
7.7 1
 
3.4%
11.4 1
 
3.4%
9.8 1
 
3.4%
10.4 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
5.6 1
 
3.4%
6.1 1
 
3.4%
6.2 1
 
3.4%
6.3 3
10.3%
6.4 1
 
3.4%
6.8 3
10.3%
7.6 1
 
3.4%
7.7 1
 
3.4%
7.9 1
 
3.4%
8.2 1
 
3.4%
ValueCountFrequency (%)
11.4 1
 
3.4%
11.0 1
 
3.4%
10.4 1
 
3.4%
10.1 1
 
3.4%
10.0 2
6.9%
9.9 1
 
3.4%
9.8 1
 
3.4%
9.5 3
10.3%
9.3 2
6.9%
8.8 2
6.9%

2019-08
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.2206897
Minimum5.5
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:46.063429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile6.04
Q16.6
median8.5
Q39.4
95-th percentile10.6
Maximum11.3
Range5.8
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.6759601
Coefficient of variation (CV)0.20387099
Kurtosis-1.271944
Mean8.2206897
Median Absolute Deviation (MAD)1.5
Skewness-0.006142699
Sum238.4
Variance2.8088424
MonotonicityNot monotonic
2023-12-12T10:13:46.199738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.4 2
 
6.9%
9.3 2
 
6.9%
6.1 2
 
6.9%
6.3 2
 
6.9%
10.0 2
 
6.9%
8.0 1
 
3.4%
7.0 1
 
3.4%
9.0 1
 
3.4%
11.3 1
 
3.4%
10.3 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.5 1
3.4%
6.0 1
3.4%
6.1 2
6.9%
6.2 1
3.4%
6.3 2
6.9%
6.6 1
3.4%
6.8 1
3.4%
7.0 1
3.4%
7.4 1
3.4%
7.6 1
3.4%
ValueCountFrequency (%)
11.3 1
3.4%
10.8 1
3.4%
10.3 1
3.4%
10.0 2
6.9%
9.9 1
3.4%
9.7 1
3.4%
9.4 2
6.9%
9.3 2
6.9%
9.1 1
3.4%
9.0 1
3.4%

2019-09
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1862069
Minimum5.5
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:46.354147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile6.04
Q16.7
median8.5
Q39.4
95-th percentile10.6
Maximum11.3
Range5.8
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.6576067
Coefficient of variation (CV)0.20248776
Kurtosis-1.2278441
Mean8.1862069
Median Absolute Deviation (MAD)1.4
Skewness0.019603554
Sum237.4
Variance2.7476601
MonotonicityNot monotonic
2023-12-12T10:13:46.522620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.2 2
 
6.9%
9.9 2
 
6.9%
6.1 2
 
6.9%
6.2 2
 
6.9%
6.7 2
 
6.9%
7.5 1
 
3.4%
9.6 1
 
3.4%
7.0 1
 
3.4%
9.0 1
 
3.4%
11.3 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.5 1
3.4%
6.0 1
3.4%
6.1 2
6.9%
6.2 2
6.9%
6.4 1
3.4%
6.7 2
6.9%
7.0 1
3.4%
7.3 1
3.4%
7.5 1
3.4%
7.8 1
3.4%
ValueCountFrequency (%)
11.3 1
3.4%
10.8 1
3.4%
10.3 1
3.4%
9.9 2
6.9%
9.8 1
3.4%
9.6 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.2 2
6.9%
9.0 1
3.4%

2019-10
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1517241
Minimum5.5
Maximum11.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:46.675204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.5
5-th percentile5.94
Q16.6
median8.4
Q39.6
95-th percentile10.58
Maximum11.2
Range5.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6999203
Coefficient of variation (CV)0.20853506
Kurtosis-1.3392301
Mean8.1517241
Median Absolute Deviation (MAD)1.5
Skewness0.010695182
Sum236.4
Variance2.8897291
MonotonicityNot monotonic
2023-12-12T10:13:46.856207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9.9 2
 
6.9%
9.2 2
 
6.9%
6.0 2
 
6.9%
6.1 2
 
6.9%
9.1 1
 
3.4%
6.9 1
 
3.4%
9.0 1
 
3.4%
11.2 1
 
3.4%
10.4 1
 
3.4%
10.0 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.5 1
3.4%
5.9 1
3.4%
6.0 2
6.9%
6.1 2
6.9%
6.3 1
3.4%
6.6 1
3.4%
6.7 1
3.4%
6.9 1
3.4%
7.2 1
3.4%
7.4 1
3.4%
ValueCountFrequency (%)
11.2 1
3.4%
10.7 1
3.4%
10.4 1
3.4%
10.0 1
3.4%
9.9 2
6.9%
9.8 1
3.4%
9.6 1
3.4%
9.2 2
6.9%
9.1 1
3.4%
9.0 1
3.4%

2019-11
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0344828
Minimum5.4
Maximum11.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:46.991959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.4
5-th percentile5.9
Q16.5
median8.2
Q39.1
95-th percentile10.5
Maximum11.3
Range5.9
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.6720979
Coefficient of variation (CV)0.20811519
Kurtosis-1.174927
Mean8.0344828
Median Absolute Deviation (MAD)1.6
Skewness0.1071137
Sum233
Variance2.7959113
MonotonicityNot monotonic
2023-12-12T10:13:47.146575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.0 3
 
10.3%
6.1 2
 
6.9%
5.9 2
 
6.9%
6.6 2
 
6.9%
7.4 1
 
3.4%
7.9 1
 
3.4%
11.3 1
 
3.4%
9.6 1
 
3.4%
10.2 1
 
3.4%
9.9 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.4 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.1 2
6.9%
6.4 1
3.4%
6.5 1
3.4%
6.6 2
6.9%
6.9 1
3.4%
7.4 1
3.4%
7.7 1
3.4%
ValueCountFrequency (%)
11.3 1
 
3.4%
10.7 1
 
3.4%
10.2 1
 
3.4%
9.9 1
 
3.4%
9.8 1
 
3.4%
9.7 1
 
3.4%
9.6 1
 
3.4%
9.1 1
 
3.4%
9.0 3
10.3%
8.9 1
 
3.4%

2019-12
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9137931
Minimum5.3
Maximum11.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:47.293061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.84
Q16.3
median8.1
Q38.9
95-th percentile10.48
Maximum11.1
Range5.8
Interquartile range (IQR)2.6

Descriptive statistics

Standard deviation1.6328599
Coefficient of variation (CV)0.20633088
Kurtosis-1.0550386
Mean7.9137931
Median Absolute Deviation (MAD)1.5
Skewness0.15583967
Sum229.5
Variance2.6662315
MonotonicityNot monotonic
2023-12-12T10:13:47.426238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.9 4
 
13.8%
5.9 2
 
6.9%
6.1 2
 
6.9%
6.3 2
 
6.9%
7.3 1
 
3.4%
7.7 1
 
3.4%
11.1 1
 
3.4%
9.2 1
 
3.4%
9.8 1
 
3.4%
10.0 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.3 1
3.4%
5.8 1
3.4%
5.9 2
6.9%
6.1 2
6.9%
6.3 2
6.9%
6.5 1
3.4%
6.6 1
3.4%
7.0 1
3.4%
7.3 1
3.4%
7.6 1
3.4%
ValueCountFrequency (%)
11.1 1
 
3.4%
10.8 1
 
3.4%
10.0 1
 
3.4%
9.8 1
 
3.4%
9.7 1
 
3.4%
9.4 1
 
3.4%
9.2 1
 
3.4%
8.9 4
13.8%
8.7 1
 
3.4%
8.4 1
 
3.4%

2020-01
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9310345
Minimum5.3
Maximum10.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:47.572108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.84
Q16.1
median8.2
Q39.2
95-th percentile10.36
Maximum10.9
Range5.6
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.678031
Coefficient of variation (CV)0.21157783
Kurtosis-1.3503475
Mean7.9310345
Median Absolute Deviation (MAD)1.5
Skewness0.025619289
Sum230
Variance2.8157882
MonotonicityNot monotonic
2023-12-12T10:13:47.698100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
9.0 2
 
6.9%
5.9 2
 
6.9%
6.0 2
 
6.9%
10.0 2
 
6.9%
6.1 2
 
6.9%
7.3 1
 
3.4%
7.7 1
 
3.4%
10.9 1
 
3.4%
9.2 1
 
3.4%
10.6 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.3 1
3.4%
5.8 1
3.4%
5.9 2
6.9%
6.0 2
6.9%
6.1 2
6.9%
6.3 1
3.4%
6.5 1
3.4%
7.1 1
3.4%
7.3 1
3.4%
7.6 1
3.4%
ValueCountFrequency (%)
10.9 1
3.4%
10.6 1
3.4%
10.0 2
6.9%
9.7 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
9.0 2
6.9%
8.8 1
3.4%

2020-02
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9655172
Minimum5.3
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:47.842630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.78
Q16.2
median8.3
Q39.2
95-th percentile10.44
Maximum11
Range5.7
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6996377
Coefficient of variation (CV)0.21337444
Kurtosis-1.3360447
Mean7.9655172
Median Absolute Deviation (MAD)1.4
Skewness0.0089117281
Sum231
Variance2.8887685
MonotonicityNot monotonic
2023-12-12T10:13:47.997649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
9.1 2
 
6.9%
5.9 2
 
6.9%
6.0 2
 
6.9%
9.2 2
 
6.9%
7.3 1
 
3.4%
7.9 1
 
3.4%
6.1 1
 
3.4%
11.0 1
 
3.4%
9.3 1
 
3.4%
10.2 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.3 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 2
6.9%
6.1 1
3.4%
6.2 1
3.4%
6.3 1
3.4%
6.5 1
3.4%
7.2 1
3.4%
7.3 1
3.4%
ValueCountFrequency (%)
11.0 1
3.4%
10.6 1
3.4%
10.2 1
3.4%
10.0 1
3.4%
9.7 1
3.4%
9.5 1
3.4%
9.3 1
3.4%
9.2 2
6.9%
9.1 2
6.9%
9.0 1
3.4%

2020-03
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9689655
Minimum5.2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:48.122760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.78
Q16.3
median8.4
Q39.2
95-th percentile10.4
Maximum11
Range5.8
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6873698
Coefficient of variation (CV)0.21174264
Kurtosis-1.2848245
Mean7.9689655
Median Absolute Deviation (MAD)1.3
Skewness-0.027224873
Sum231.1
Variance2.8472167
MonotonicityNot monotonic
2023-12-12T10:13:48.280382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
7.4 2
 
6.9%
9.1 2
 
6.9%
8.4 2
 
6.9%
5.9 2
 
6.9%
6.0 2
 
6.9%
6.3 2
 
6.9%
7.6 1
 
3.4%
6.1 1
 
3.4%
11.0 1
 
3.4%
9.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.2 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 2
6.9%
6.1 1
3.4%
6.3 2
6.9%
6.5 1
3.4%
7.4 2
6.9%
7.6 1
3.4%
7.9 1
3.4%
ValueCountFrequency (%)
11.0 1
3.4%
10.6 1
3.4%
10.1 1
3.4%
9.9 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.3 1
3.4%
9.2 1
3.4%
9.1 2
6.9%
9.0 1
3.4%

2020-04
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9827586
Minimum5.2
Maximum11
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:48.426813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.78
Q16.2
median8.4
Q39.3
95-th percentile10.42
Maximum11
Range5.8
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6934894
Coefficient of variation (CV)0.21214338
Kurtosis-1.2902578
Mean7.9827586
Median Absolute Deviation (MAD)1.3
Skewness-0.0053339128
Sum231.5
Variance2.8679064
MonotonicityNot monotonic
2023-12-12T10:13:48.557252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8.4 3
 
10.3%
9.1 2
 
6.9%
9.7 2
 
6.9%
5.9 2
 
6.9%
6.2 2
 
6.9%
7.6 2
 
6.9%
7.3 1
 
3.4%
7.8 1
 
3.4%
11.0 1
 
3.4%
9.5 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.2 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.1 1
3.4%
6.2 2
6.9%
6.4 1
3.4%
6.5 1
3.4%
7.3 1
3.4%
7.6 2
6.9%
ValueCountFrequency (%)
11.0 1
3.4%
10.5 1
3.4%
10.3 1
3.4%
10.0 1
3.4%
9.7 2
6.9%
9.5 1
3.4%
9.3 1
3.4%
9.1 2
6.9%
8.9 1
3.4%
8.8 1
3.4%

2020-05
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9551724
Minimum5.3
Maximum10.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:48.713619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.78
Q16.3
median8.3
Q39.1
95-th percentile10.48
Maximum10.8
Range5.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.6562838
Coefficient of variation (CV)0.20820212
Kurtosis-1.2821961
Mean7.9551724
Median Absolute Deviation (MAD)1.4
Skewness0.02973003
Sum230.7
Variance2.7432759
MonotonicityNot monotonic
2023-12-12T10:13:48.848496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.3 3
 
10.3%
9.1 2
 
6.9%
9.6 2
 
6.9%
5.9 2
 
6.9%
6.3 2
 
6.9%
7.3 1
 
3.4%
7.8 1
 
3.4%
9.0 1
 
3.4%
10.8 1
 
3.4%
10.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.3 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.1 1
3.4%
6.3 2
6.9%
6.4 1
3.4%
6.5 1
3.4%
7.3 1
3.4%
7.5 1
3.4%
ValueCountFrequency (%)
10.8 1
3.4%
10.6 1
3.4%
10.3 1
3.4%
9.9 1
3.4%
9.7 1
3.4%
9.6 2
6.9%
9.1 2
6.9%
9.0 1
3.4%
8.8 1
3.4%
8.7 1
3.4%

2020-06
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9758621
Minimum5.3
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:49.007993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.78
Q16.3
median8.3
Q39.2
95-th percentile10.4
Maximum10.7
Range5.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6691861
Coefficient of variation (CV)0.20927971
Kurtosis-1.3810913
Mean7.9758621
Median Absolute Deviation (MAD)1.5
Skewness-0.047735664
Sum231.3
Variance2.7861823
MonotonicityNot monotonic
2023-12-12T10:13:49.195770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
7.8 2
 
6.9%
8.3 2
 
6.9%
9.6 2
 
6.9%
5.9 2
 
6.9%
6.1 2
 
6.9%
10.4 2
 
6.9%
6.4 2
 
6.9%
9.0 2
 
6.9%
9.2 1
 
3.4%
10.7 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.3 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.1 2
6.9%
6.3 1
3.4%
6.4 2
6.9%
7.3 1
3.4%
7.6 1
3.4%
7.8 2
6.9%
ValueCountFrequency (%)
10.7 1
3.4%
10.4 2
6.9%
9.9 1
3.4%
9.8 1
3.4%
9.6 2
6.9%
9.2 1
3.4%
9.1 1
3.4%
9.0 2
6.9%
8.9 1
3.4%
8.5 1
3.4%

2020-07
Real number (ℝ)

Distinct21
Distinct (%)72.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.9482759
Minimum5.3
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:49.330718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.78
Q16.2
median8.3
Q39.1
95-th percentile10.3
Maximum10.7
Range5.4
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6461255
Coefficient of variation (CV)0.20710472
Kurtosis-1.3765882
Mean7.9482759
Median Absolute Deviation (MAD)1.3
Skewness-0.066903557
Sum230.5
Variance2.7097291
MonotonicityNot monotonic
2023-12-12T10:13:49.472076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
9.6 3
 
10.3%
9.0 2
 
6.9%
5.9 2
 
6.9%
6.1 2
 
6.9%
10.3 2
 
6.9%
6.4 2
 
6.9%
8.9 2
 
6.9%
7.2 1
 
3.4%
8.4 1
 
3.4%
10.7 1
 
3.4%
Other values (11) 11
37.9%
ValueCountFrequency (%)
5.3 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.1 2
6.9%
6.2 1
3.4%
6.4 2
6.9%
7.2 1
3.4%
7.6 1
3.4%
7.8 1
3.4%
ValueCountFrequency (%)
10.7 1
 
3.4%
10.3 2
6.9%
9.8 1
 
3.4%
9.6 3
10.3%
9.1 1
 
3.4%
9.0 2
6.9%
8.9 2
6.9%
8.5 1
 
3.4%
8.4 1
 
3.4%
8.3 1
 
3.4%

2020-08
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.8551724
Minimum5.3
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:49.648451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.68
Q16.1
median8.1
Q39.2
95-th percentile10.26
Maximum10.5
Range5.2
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6380708
Coefficient of variation (CV)0.20853403
Kurtosis-1.4008263
Mean7.8551724
Median Absolute Deviation (MAD)1.4
Skewness-0.04973203
Sum227.8
Variance2.6832759
MonotonicityNot monotonic
2023-12-12T10:13:49.812639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7.5 2
 
6.9%
9.4 2
 
6.9%
5.8 2
 
6.9%
6.0 2
 
6.9%
6.4 2
 
6.9%
7.1 1
 
3.4%
8.6 1
 
3.4%
10.5 1
 
3.4%
9.1 1
 
3.4%
10.2 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.3 1
3.4%
5.6 1
3.4%
5.8 2
6.9%
5.9 1
3.4%
6.0 2
6.9%
6.1 1
3.4%
6.4 2
6.9%
7.1 1
3.4%
7.5 2
6.9%
7.8 1
3.4%
ValueCountFrequency (%)
10.5 1
3.4%
10.3 1
3.4%
10.2 1
3.4%
9.8 1
3.4%
9.5 1
3.4%
9.4 2
6.9%
9.2 1
3.4%
9.1 1
3.4%
8.9 1
3.4%
8.7 1
3.4%

2020-09
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7896552
Minimum5.3
Maximum10.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:49.946225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.3
5-th percentile5.74
Q16
median8.1
Q39
95-th percentile10.18
Maximum10.3
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5989606
Coefficient of variation (CV)0.20526718
Kurtosis-1.4097364
Mean7.7896552
Median Absolute Deviation (MAD)1.4
Skewness-0.047361184
Sum225.9
Variance2.5566749
MonotonicityNot monotonic
2023-12-12T10:13:50.099114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5.9 3
 
10.3%
9.3 2
 
6.9%
5.8 2
 
6.9%
10.3 2
 
6.9%
8.4 2
 
6.9%
6.4 2
 
6.9%
7.1 1
 
3.4%
8.5 1
 
3.4%
9.0 1
 
3.4%
10.0 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.3 1
 
3.4%
5.7 1
 
3.4%
5.8 2
6.9%
5.9 3
10.3%
6.0 1
 
3.4%
6.4 2
6.9%
7.1 1
 
3.4%
7.3 1
 
3.4%
7.5 1
 
3.4%
7.7 1
 
3.4%
ValueCountFrequency (%)
10.3 2
6.9%
10.0 1
3.4%
9.7 1
3.4%
9.5 1
3.4%
9.3 2
6.9%
9.0 1
3.4%
8.9 1
3.4%
8.8 1
3.4%
8.7 1
3.4%
8.5 1
3.4%

2020-10
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7310345
Minimum5.2
Maximum10.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:50.267725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.2
5-th percentile5.64
Q15.9
median8
Q39.1
95-th percentile10.1
Maximum10.4
Range5.2
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.6296589
Coefficient of variation (CV)0.21079442
Kurtosis-1.4185852
Mean7.7310345
Median Absolute Deviation (MAD)1.6
Skewness-0.032733514
Sum224.2
Variance2.6557882
MonotonicityNot monotonic
2023-12-12T10:13:50.443281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.8 3
 
10.3%
9.1 2
 
6.9%
8.4 2
 
6.9%
5.9 2
 
6.9%
9.6 2
 
6.9%
7.0 1
 
3.4%
6.2 1
 
3.4%
10.4 1
 
3.4%
9.8 1
 
3.4%
10.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.2 1
 
3.4%
5.6 1
 
3.4%
5.7 1
 
3.4%
5.8 3
10.3%
5.9 2
6.9%
6.2 1
 
3.4%
6.3 1
 
3.4%
7.0 1
 
3.4%
7.2 1
 
3.4%
7.4 1
 
3.4%
ValueCountFrequency (%)
10.4 1
3.4%
10.3 1
3.4%
9.8 1
3.4%
9.6 2
6.9%
9.3 1
3.4%
9.1 2
6.9%
9.0 1
3.4%
8.7 1
3.4%
8.6 1
3.4%
8.5 1
3.4%

2020-11
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7137931
Minimum5
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:50.616554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.54
Q15.9
median7.9
Q39.3
95-th percentile10.06
Maximum10.7
Range5.7
Interquartile range (IQR)3.4

Descriptive statistics

Standard deviation1.7102055
Coefficient of variation (CV)0.22170747
Kurtosis-1.3868259
Mean7.7137931
Median Absolute Deviation (MAD)1.6
Skewness-0.014040266
Sum223.7
Variance2.924803
MonotonicityNot monotonic
2023-12-12T10:13:50.760864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.5 3
 
10.3%
5.7 3
 
10.3%
9.6 2
 
6.9%
9.0 1
 
3.4%
6.0 1
 
3.4%
10.7 1
 
3.4%
9.7 1
 
3.4%
10.3 1
 
3.4%
8.3 1
 
3.4%
7.4 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.5 1
 
3.4%
5.6 1
 
3.4%
5.7 3
10.3%
5.8 1
 
3.4%
5.9 1
 
3.4%
6.0 1
 
3.4%
6.3 1
 
3.4%
7.0 1
 
3.4%
7.1 1
 
3.4%
ValueCountFrequency (%)
10.7 1
 
3.4%
10.3 1
 
3.4%
9.7 1
 
3.4%
9.6 2
6.9%
9.5 1
 
3.4%
9.4 1
 
3.4%
9.3 1
 
3.4%
9.0 1
 
3.4%
8.7 1
 
3.4%
8.5 3
10.3%

2020-12
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6482759
Minimum5
Maximum10.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:50.894160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.54
Q15.9
median7.8
Q39.1
95-th percentile10.12
Maximum10.6
Range5.6
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7018101
Coefficient of variation (CV)0.22250899
Kurtosis-1.377497
Mean7.6482759
Median Absolute Deviation (MAD)1.6
Skewness0.010384904
Sum221.8
Variance2.8961576
MonotonicityNot monotonic
2023-12-12T10:13:51.022685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
5.6 3
 
10.3%
7.0 2
 
6.9%
7.3 2
 
6.9%
5.9 2
 
6.9%
5.7 2
 
6.9%
8.6 2
 
6.9%
9.3 1
 
3.4%
9.4 1
 
3.4%
10.6 1
 
3.4%
9.2 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.5 1
 
3.4%
5.6 3
10.3%
5.7 2
6.9%
5.9 2
6.9%
6.2 1
 
3.4%
7.0 2
6.9%
7.3 2
6.9%
7.8 1
 
3.4%
8.2 1
 
3.4%
ValueCountFrequency (%)
10.6 1
3.4%
10.4 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
8.9 1
3.4%
8.7 1
3.4%

2021-01
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6103448
Minimum5
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:51.163177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.44
Q15.8
median7.8
Q38.9
95-th percentile10.12
Maximum10.7
Range5.7
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.7246832
Coefficient of variation (CV)0.22662352
Kurtosis-1.3427127
Mean7.6103448
Median Absolute Deviation (MAD)1.6
Skewness0.048664164
Sum220.7
Variance2.974532
MonotonicityNot monotonic
2023-12-12T10:13:51.683330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.6 3
 
10.3%
9.4 2
 
6.9%
5.5 2
 
6.9%
5.7 2
 
6.9%
5.8 2
 
6.9%
6.9 1
 
3.4%
9.6 1
 
3.4%
8.7 1
 
3.4%
10.7 1
 
3.4%
9.3 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.0 1
3.4%
5.4 1
3.4%
5.5 2
6.9%
5.6 1
3.4%
5.7 2
6.9%
5.8 2
6.9%
6.2 1
3.4%
6.9 1
3.4%
7.0 1
3.4%
7.1 1
3.4%
ValueCountFrequency (%)
10.7 1
 
3.4%
10.4 1
 
3.4%
9.7 1
 
3.4%
9.6 1
 
3.4%
9.4 2
6.9%
9.3 1
 
3.4%
8.9 1
 
3.4%
8.7 1
 
3.4%
8.6 3
10.3%
8.3 1
 
3.4%

2021-02
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6586207
Minimum5
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:51.817355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.44
Q15.8
median7.9
Q39
95-th percentile10.12
Maximum10.7
Range5.7
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7247189
Coefficient of variation (CV)0.22519967
Kurtosis-1.3616536
Mean7.6586207
Median Absolute Deviation (MAD)1.7
Skewness0.012139081
Sum222.1
Variance2.9746552
MonotonicityNot monotonic
2023-12-12T10:13:52.002747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.6 3
 
10.3%
8.7 2
 
6.9%
5.8 2
 
6.9%
9.6 2
 
6.9%
7.1 2
 
6.9%
7.0 1
 
3.4%
9.2 1
 
3.4%
6.1 1
 
3.4%
8.8 1
 
3.4%
10.7 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.6 3
10.3%
5.8 2
6.9%
6.1 1
 
3.4%
6.2 1
 
3.4%
7.0 1
 
3.4%
7.1 2
6.9%
7.3 1
 
3.4%
ValueCountFrequency (%)
10.7 1
3.4%
10.4 1
3.4%
9.7 1
3.4%
9.6 2
6.9%
9.4 1
3.4%
9.2 1
3.4%
9.0 1
3.4%
8.8 1
3.4%
8.7 2
6.9%
8.6 1
3.4%

2021-03
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.7137931
Minimum5.1
Maximum10.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:52.156775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.44
Q15.9
median7.9
Q39.1
95-th percentile10.22
Maximum10.8
Range5.7
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.7537153
Coefficient of variation (CV)0.22734798
Kurtosis-1.3948327
Mean7.7137931
Median Absolute Deviation (MAD)1.7
Skewness0.014967922
Sum223.7
Variance3.0755172
MonotonicityNot monotonic
2023-12-12T10:13:52.330977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
8.8 2
 
6.9%
5.5 2
 
6.9%
5.9 2
 
6.9%
7.2 2
 
6.9%
7.0 1
 
3.4%
9.3 1
 
3.4%
6.0 1
 
3.4%
9.1 1
 
3.4%
10.8 1
 
3.4%
10.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.1 1
3.4%
5.4 1
3.4%
5.5 2
6.9%
5.6 1
3.4%
5.7 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.2 1
3.4%
7.0 1
3.4%
7.2 2
6.9%
ValueCountFrequency (%)
10.8 1
3.4%
10.3 1
3.4%
10.1 1
3.4%
9.7 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 1
3.4%
9.1 1
3.4%
8.9 1
3.4%
8.8 2
6.9%

2021-04
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6724138
Minimum5.1
Maximum10.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:52.474935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.44
Q15.8
median7.9
Q38.9
95-th percentile10.06
Maximum10.7
Range5.6
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.7194053
Coefficient of variation (CV)0.22410227
Kurtosis-1.4080178
Mean7.6724138
Median Absolute Deviation (MAD)1.7
Skewness-0.011431357
Sum222.5
Variance2.9563547
MonotonicityNot monotonic
2023-12-12T10:13:52.624018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5.7 3
 
10.3%
8.7 2
 
6.9%
8.9 2
 
6.9%
9.6 2
 
6.9%
5.8 1
 
3.4%
9.0 1
 
3.4%
10.7 1
 
3.4%
9.7 1
 
3.4%
10.3 1
 
3.4%
8.3 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.1 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.6 1
 
3.4%
5.7 3
10.3%
5.8 1
 
3.4%
5.9 1
 
3.4%
6.2 1
 
3.4%
7.0 1
 
3.4%
7.1 1
 
3.4%
ValueCountFrequency (%)
10.7 1
3.4%
10.3 1
3.4%
9.7 1
3.4%
9.6 2
6.9%
9.5 1
3.4%
9.0 1
3.4%
8.9 2
6.9%
8.8 1
3.4%
8.7 2
6.9%
8.6 1
3.4%

2021-05
Real number (ℝ)

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.637931
Minimum5.1
Maximum10.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:52.768752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.44
Q15.9
median7.8
Q39
95-th percentile9.96
Maximum10.6
Range5.5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6672076
Coefficient of variation (CV)0.21828001
Kurtosis-1.3821193
Mean7.637931
Median Absolute Deviation (MAD)1.6
Skewness-0.031462556
Sum221.5
Variance2.7795813
MonotonicityNot monotonic
2023-12-12T10:13:52.904640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
9.0 4
13.8%
8.7 3
 
10.3%
5.7 3
 
10.3%
7.0 2
 
6.9%
5.5 2
 
6.9%
6.2 2
 
6.9%
7.3 2
 
6.9%
8.3 1
 
3.4%
10.6 1
 
3.4%
9.5 1
 
3.4%
Other values (8) 8
27.6%
ValueCountFrequency (%)
5.1 1
 
3.4%
5.4 1
 
3.4%
5.5 2
6.9%
5.7 3
10.3%
5.9 1
 
3.4%
6.2 2
6.9%
7.0 2
6.9%
7.3 2
6.9%
7.8 1
 
3.4%
8.3 1
 
3.4%
ValueCountFrequency (%)
10.6 1
 
3.4%
10.2 1
 
3.4%
9.6 1
 
3.4%
9.5 1
 
3.4%
9.4 1
 
3.4%
9.0 4
13.8%
8.7 3
10.3%
8.5 1
 
3.4%
8.3 1
 
3.4%
7.8 1
 
3.4%

2021-06
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6551724
Minimum5.1
Maximum10.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:53.041678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.44
Q15.9
median7.9
Q38.9
95-th percentile10
Maximum10.6
Range5.5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.6683153
Coefficient of variation (CV)0.21793308
Kurtosis-1.3614324
Mean7.6551724
Median Absolute Deviation (MAD)1.5
Skewness-0.051549025
Sum222
Variance2.7832759
MonotonicityNot monotonic
2023-12-12T10:13:53.205706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8.6 3
 
10.3%
7.0 2
 
6.9%
5.6 2
 
6.9%
5.7 2
 
6.9%
6.2 2
 
6.9%
8.9 2
 
6.9%
9.2 1
 
3.4%
10.6 1
 
3.4%
8.8 1
 
3.4%
9.7 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
5.1 1
3.4%
5.4 1
3.4%
5.5 1
3.4%
5.6 2
6.9%
5.7 2
6.9%
5.9 1
3.4%
6.2 2
6.9%
7.0 2
6.9%
7.4 1
3.4%
7.6 1
3.4%
ValueCountFrequency (%)
10.6 1
 
3.4%
10.2 1
 
3.4%
9.7 1
 
3.4%
9.6 1
 
3.4%
9.4 1
 
3.4%
9.2 1
 
3.4%
8.9 2
6.9%
8.8 1
 
3.4%
8.7 1
 
3.4%
8.6 3
10.3%

2021-07
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6310345
Minimum5.1
Maximum10.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:53.348141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.34
Q15.9
median7.8
Q38.9
95-th percentile9.9
Maximum10.5
Range5.4
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.660702
Coefficient of variation (CV)0.21762475
Kurtosis-1.4034687
Mean7.6310345
Median Absolute Deviation (MAD)1.5
Skewness-0.07848932
Sum221.3
Variance2.757931
MonotonicityNot monotonic
2023-12-12T10:13:53.518677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
7.0 2
 
6.9%
8.7 2
 
6.9%
5.7 2
 
6.9%
9.2 2
 
6.9%
8.5 2
 
6.9%
8.8 1
 
3.4%
6.1 1
 
3.4%
8.9 1
 
3.4%
10.5 1
 
3.4%
9.5 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.1 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.5 1
3.4%
5.7 2
6.9%
5.8 1
3.4%
5.9 1
3.4%
6.1 1
3.4%
6.2 1
3.4%
7.0 2
6.9%
ValueCountFrequency (%)
10.5 1
3.4%
10.1 1
3.4%
9.6 1
3.4%
9.5 1
3.4%
9.3 1
3.4%
9.2 2
6.9%
8.9 1
3.4%
8.8 1
3.4%
8.7 2
6.9%
8.5 2
6.9%

2021-08
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5586207
Minimum5.1
Maximum10.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:53.684570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.34
Q15.8
median7.7
Q38.7
95-th percentile9.74
Maximum10.3
Range5.2
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6297496
Coefficient of variation (CV)0.21561468
Kurtosis-1.4571643
Mean7.5586207
Median Absolute Deviation (MAD)1.6
Skewness-0.053433536
Sum219.2
Variance2.6560837
MonotonicityNot monotonic
2023-12-12T10:13:53.875422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.8 3
 
10.3%
8.7 2
 
6.9%
8.5 2
 
6.9%
9.3 2
 
6.9%
9.5 2
 
6.9%
6.9 1
 
3.4%
5.9 1
 
3.4%
8.6 1
 
3.4%
10.3 1
 
3.4%
9.9 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.1 1
 
3.4%
5.3 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.7 1
 
3.4%
5.8 3
10.3%
5.9 1
 
3.4%
6.2 1
 
3.4%
6.8 1
 
3.4%
6.9 1
 
3.4%
ValueCountFrequency (%)
10.3 1
3.4%
9.9 1
3.4%
9.5 2
6.9%
9.3 2
6.9%
9.2 1
3.4%
8.7 2
6.9%
8.6 1
3.4%
8.5 2
6.9%
8.4 1
3.4%
8.2 1
3.4%

2021-09
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5172414
Minimum5.1
Maximum10.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:54.034773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.34
Q15.8
median7.5
Q38.7
95-th percentile9.66
Maximum10.1
Range5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.6035828
Coefficient of variation (CV)0.21332065
Kurtosis-1.4987025
Mean7.5172414
Median Absolute Deviation (MAD)1.6
Skewness-0.031697118
Sum218
Variance2.5714778
MonotonicityNot monotonic
2023-12-12T10:13:54.177962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
8.7 3
 
10.3%
5.7 2
 
6.9%
5.8 2
 
6.9%
9.3 2
 
6.9%
6.2 2
 
6.9%
6.9 1
 
3.4%
8.5 1
 
3.4%
10.1 1
 
3.4%
9.6 1
 
3.4%
9.5 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.1 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.5 1
3.4%
5.7 2
6.9%
5.8 2
6.9%
6.2 2
6.9%
6.7 1
3.4%
6.9 1
3.4%
7.0 1
3.4%
ValueCountFrequency (%)
10.1 1
 
3.4%
9.7 1
 
3.4%
9.6 1
 
3.4%
9.5 1
 
3.4%
9.3 2
6.9%
9.1 1
 
3.4%
8.7 3
10.3%
8.5 1
 
3.4%
8.4 1
 
3.4%
8.3 1
 
3.4%

2021-10
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4758621
Minimum5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:54.342160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.34
Q15.7
median7.5
Q38.8
95-th percentile9.56
Maximum10
Range5
Interquartile range (IQR)3.1

Descriptive statistics

Standard deviation1.6190066
Coefficient of variation (CV)0.21656453
Kurtosis-1.5298682
Mean7.4758621
Median Absolute Deviation (MAD)1.6
Skewness-0.056096593
Sum216.8
Variance2.6211823
MonotonicityNot monotonic
2023-12-12T10:13:54.538201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.8 2
 
6.9%
5.4 2
 
6.9%
5.6 2
 
6.9%
5.7 2
 
6.9%
9.5 2
 
6.9%
6.7 1
 
3.4%
6.2 1
 
3.4%
10.0 1
 
3.4%
9.6 1
 
3.4%
9.2 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.0 1
3.4%
5.3 1
3.4%
5.4 2
6.9%
5.6 2
6.9%
5.7 2
6.9%
6.1 1
3.4%
6.2 1
3.4%
6.7 1
3.4%
6.8 1
3.4%
7.0 1
3.4%
ValueCountFrequency (%)
10.0 1
3.4%
9.6 1
3.4%
9.5 2
6.9%
9.4 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
8.8 2
6.9%
8.7 1
3.4%
8.4 1
3.4%
8.3 1
3.4%

2021-11
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4344828
Minimum5
Maximum9.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:54.732662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.24
Q15.8
median7.4
Q39
95-th percentile9.5
Maximum9.9
Range4.9
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.5843601
Coefficient of variation (CV)0.21310967
Kurtosis-1.4745133
Mean7.4344828
Median Absolute Deviation (MAD)1.6
Skewness-0.076584469
Sum215.6
Variance2.510197
MonotonicityNot monotonic
2023-12-12T10:13:54.904129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.6 3
 
10.3%
8.4 2
 
6.9%
9.1 2
 
6.9%
9.5 2
 
6.9%
7.2 2
 
6.9%
6.8 1
 
3.4%
8.3 1
 
3.4%
6.4 1
 
3.4%
9.0 1
 
3.4%
9.9 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.2 1
 
3.4%
5.3 1
 
3.4%
5.4 1
 
3.4%
5.6 3
10.3%
5.8 1
 
3.4%
6.1 1
 
3.4%
6.4 1
 
3.4%
6.7 1
 
3.4%
6.8 1
 
3.4%
ValueCountFrequency (%)
9.9 1
3.4%
9.5 2
6.9%
9.4 1
3.4%
9.2 1
3.4%
9.1 2
6.9%
9.0 1
3.4%
8.5 1
3.4%
8.4 2
6.9%
8.3 1
3.4%
8.1 1
3.4%

2021-12
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4068966
Minimum5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:55.057594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.24
Q16
median7.4
Q38.9
95-th percentile9.26
Maximum10
Range5
Interquartile range (IQR)2.9

Descriptive statistics

Standard deviation1.5334208
Coefficient of variation (CV)0.20702608
Kurtosis-1.4236108
Mean7.4068966
Median Absolute Deviation (MAD)1.5
Skewness-0.10211309
Sum214.8
Variance2.3513793
MonotonicityNot monotonic
2023-12-12T10:13:55.239534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
8.3 2
 
6.9%
9.0 2
 
6.9%
5.6 2
 
6.9%
9.2 2
 
6.9%
8.2 2
 
6.9%
6.8 1
 
3.4%
8.6 1
 
3.4%
6.3 1
 
3.4%
8.9 1
 
3.4%
10.0 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.0 1
3.4%
5.2 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.6 2
6.9%
5.7 1
3.4%
6.0 1
3.4%
6.1 1
3.4%
6.3 1
3.4%
6.7 1
3.4%
ValueCountFrequency (%)
10.0 1
3.4%
9.3 1
3.4%
9.2 2
6.9%
9.1 1
3.4%
9.0 2
6.9%
8.9 1
3.4%
8.6 1
3.4%
8.3 2
6.9%
8.2 2
6.9%
7.9 1
3.4%

2022-01
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.3586207
Minimum4.9
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:55.415031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.24
Q15.9
median7.4
Q38.9
95-th percentile9.26
Maximum9.8
Range4.9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5206947
Coefficient of variation (CV)0.20665485
Kurtosis-1.4346209
Mean7.3586207
Median Absolute Deviation (MAD)1.5
Skewness-0.11558219
Sum213.4
Variance2.3125123
MonotonicityNot monotonic
2023-12-12T10:13:55.593483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8.9 3
 
10.3%
5.6 3
 
10.3%
8.1 3
 
10.3%
6.7 2
 
6.9%
7.4 2
 
6.9%
9.2 2
 
6.9%
8.5 1
 
3.4%
6.3 1
 
3.4%
9.8 1
 
3.4%
9.3 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
4.9 1
 
3.4%
5.2 1
 
3.4%
5.3 1
 
3.4%
5.4 1
 
3.4%
5.6 3
10.3%
5.9 1
 
3.4%
6.0 1
 
3.4%
6.3 1
 
3.4%
6.7 2
6.9%
7.2 1
 
3.4%
ValueCountFrequency (%)
9.8 1
 
3.4%
9.3 1
 
3.4%
9.2 2
6.9%
9.1 1
 
3.4%
8.9 3
10.3%
8.5 1
 
3.4%
8.3 1
 
3.4%
8.1 3
10.3%
7.8 1
 
3.4%
7.4 2
6.9%

2022-02
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4
Minimum4.9
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:55.755360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.24
Q15.9
median7.5
Q38.9
95-th percentile9.36
Maximum9.8
Range4.9
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.522451
Coefficient of variation (CV)0.20573663
Kurtosis-1.4108239
Mean7.4
Median Absolute Deviation (MAD)1.5
Skewness-0.13116245
Sum214.6
Variance2.3178571
MonotonicityNot monotonic
2023-12-12T10:13:55.928640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
6.8 2
 
6.9%
7.5 2
 
6.9%
9.0 2
 
6.9%
8.1 2
 
6.9%
8.4 1
 
3.4%
6.2 1
 
3.4%
9.8 1
 
3.4%
9.3 1
 
3.4%
9.1 1
 
3.4%
9.4 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
4.9 1
3.4%
5.2 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.6 1
3.4%
5.7 1
3.4%
5.8 1
3.4%
5.9 1
3.4%
6.1 1
3.4%
6.2 1
3.4%
ValueCountFrequency (%)
9.8 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
9.0 2
6.9%
8.9 1
3.4%
8.4 1
3.4%
8.3 1
3.4%
8.2 1
3.4%

2022-03
Real number (ℝ)

Distinct22
Distinct (%)75.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4206897
Minimum4.8
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:56.104149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.8
5-th percentile5.24
Q15.9
median7.5
Q38.6
95-th percentile9.36
Maximum9.8
Range5
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.5152509
Coefficient of variation (CV)0.20419273
Kurtosis-1.3667777
Mean7.4206897
Median Absolute Deviation (MAD)1.5
Skewness-0.17267472
Sum215.2
Variance2.2959852
MonotonicityNot monotonic
2023-12-12T10:13:56.289351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
9.1 3
 
10.3%
6.9 2
 
6.9%
8.0 2
 
6.9%
8.4 2
 
6.9%
5.9 2
 
6.9%
8.6 2
 
6.9%
6.2 1
 
3.4%
9.8 1
 
3.4%
9.4 1
 
3.4%
9.3 1
 
3.4%
Other values (12) 12
41.4%
ValueCountFrequency (%)
4.8 1
3.4%
5.2 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.7 1
3.4%
5.8 1
3.4%
5.9 2
6.9%
6.1 1
3.4%
6.2 1
3.4%
6.9 2
6.9%
ValueCountFrequency (%)
9.8 1
 
3.4%
9.4 1
 
3.4%
9.3 1
 
3.4%
9.1 3
10.3%
9.0 1
 
3.4%
8.6 2
6.9%
8.4 2
6.9%
8.1 1
 
3.4%
8.0 2
6.9%
7.5 1
 
3.4%

2022-04
Real number (ℝ)

Distinct20
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4517241
Minimum4.9
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:56.439130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4.9
5-th percentile5.28
Q15.9
median7.6
Q38.6
95-th percentile9.3
Maximum9.8
Range4.9
Interquartile range (IQR)2.7

Descriptive statistics

Standard deviation1.509404
Coefficient of variation (CV)0.20255769
Kurtosis-1.4058174
Mean7.4517241
Median Absolute Deviation (MAD)1.5
Skewness-0.1612958
Sum216.1
Variance2.2783005
MonotonicityNot monotonic
2023-12-12T10:13:56.583732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
8.4 3
 
10.3%
5.8 3
 
10.3%
9.3 3
 
10.3%
9.1 2
 
6.9%
6.2 2
 
6.9%
8.2 2
 
6.9%
6.9 1
 
3.4%
8.6 1
 
3.4%
9.8 1
 
3.4%
9.2 1
 
3.4%
Other values (10) 10
34.5%
ValueCountFrequency (%)
4.9 1
 
3.4%
5.2 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.8 3
10.3%
5.9 1
 
3.4%
6.2 2
6.9%
6.8 1
 
3.4%
6.9 1
 
3.4%
7.3 1
 
3.4%
ValueCountFrequency (%)
9.8 1
 
3.4%
9.3 3
10.3%
9.2 1
 
3.4%
9.1 2
6.9%
8.6 1
 
3.4%
8.4 3
10.3%
8.2 2
6.9%
8.0 1
 
3.4%
7.6 1
 
3.4%
7.5 1
 
3.4%

2022-05
Real number (ℝ)

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5275862
Minimum5
Maximum10
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:56.722765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.34
Q15.8
median7.5
Q39
95-th percentile9.7
Maximum10
Range5
Interquartile range (IQR)3.2

Descriptive statistics

Standard deviation1.5772708
Coefficient of variation (CV)0.20953208
Kurtosis-1.4065703
Mean7.5275862
Median Absolute Deviation (MAD)1.6
Skewness-0.084907758
Sum218.3
Variance2.4877833
MonotonicityNot monotonic
2023-12-12T10:13:56.858104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
5.8 3
 
10.3%
8.4 2
 
6.9%
7.5 2
 
6.9%
9.1 2
 
6.9%
9.4 2
 
6.9%
7.0 1
 
3.4%
8.1 1
 
3.4%
6.2 1
 
3.4%
10.0 1
 
3.4%
9.9 1
 
3.4%
Other values (13) 13
44.8%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.3 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.7 1
 
3.4%
5.8 3
10.3%
6.2 1
 
3.4%
6.3 1
 
3.4%
6.9 1
 
3.4%
7.0 1
 
3.4%
ValueCountFrequency (%)
10.0 1
3.4%
9.9 1
3.4%
9.4 2
6.9%
9.3 1
3.4%
9.1 2
6.9%
9.0 1
3.4%
8.9 1
3.4%
8.4 2
6.9%
8.2 1
3.4%
8.1 1
3.4%

2022-06
Real number (ℝ)

Distinct24
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.5103448
Minimum5
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:57.002800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5.34
Q15.9
median7.5
Q38.9
95-th percentile9.46
Maximum9.8
Range4.8
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.5093387
Coefficient of variation (CV)0.20096797
Kurtosis-1.413025
Mean7.5103448
Median Absolute Deviation (MAD)1.5
Skewness-0.14113283
Sum217.8
Variance2.2781034
MonotonicityNot monotonic
2023-12-12T10:13:57.137533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
5.9 3
 
10.3%
7.5 2
 
6.9%
6.4 2
 
6.9%
8.9 2
 
6.9%
7.0 1
 
3.4%
6.8 1
 
3.4%
9.8 1
 
3.4%
9.4 1
 
3.4%
9.2 1
 
3.4%
9.5 1
 
3.4%
Other values (14) 14
48.3%
ValueCountFrequency (%)
5.0 1
 
3.4%
5.3 1
 
3.4%
5.4 1
 
3.4%
5.5 1
 
3.4%
5.8 1
 
3.4%
5.9 3
10.3%
6.4 2
6.9%
6.8 1
 
3.4%
7.0 1
 
3.4%
7.4 1
 
3.4%
ValueCountFrequency (%)
9.8 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.3 1
3.4%
9.2 1
3.4%
9.1 1
3.4%
9.0 1
3.4%
8.9 2
6.9%
8.6 1
3.4%
8.4 1
3.4%

2022-07
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.4758621
Minimum5.1
Maximum9.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-12T10:13:57.271141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.1
5-th percentile5.34
Q16
median7.6
Q38.8
95-th percentile9.46
Maximum9.6
Range4.5
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation1.4618128
Coefficient of variation (CV)0.19553768
Kurtosis-1.4405259
Mean7.4758621
Median Absolute Deviation (MAD)1.4
Skewness-0.14676959
Sum216.8
Variance2.1368966
MonotonicityNot monotonic
2023-12-12T10:13:57.438424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
7.9 2
 
6.9%
9.1 2
 
6.9%
5.9 2
 
6.9%
8.8 2
 
6.9%
8.9 1
 
3.4%
6.2 1
 
3.4%
9.6 1
 
3.4%
9.5 1
 
3.4%
9.4 1
 
3.4%
8.1 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
5.1 1
3.4%
5.3 1
3.4%
5.4 1
3.4%
5.6 1
3.4%
5.8 1
3.4%
5.9 2
6.9%
6.0 1
3.4%
6.2 1
3.4%
6.4 1
3.4%
6.7 1
3.4%
ValueCountFrequency (%)
9.6 1
3.4%
9.5 1
3.4%
9.4 1
3.4%
9.1 2
6.9%
9.0 1
3.4%
8.9 1
3.4%
8.8 2
6.9%
8.5 1
3.4%
8.4 1
3.4%
8.1 1
3.4%

Sample

지역2011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
0전국 단독10.510.510.510.510.510.510.410.310.110.010.09.910.010.010.010.010.09.99.99.89.89.79.69.79.89.99.99.99.99.89.79.69.69.59.49.49.59.69.69.69.59.59.39.29.19.19.19.19.19.29.29.29.19.18.98.88.78.68.68.58.58.78.78.68.68.68.58.48.38.38.28.28.28.38.38.28.28.28.18.07.97.97.87.87.87.87.97.97.97.87.87.77.77.67.57.57.57.67.77.77.77.77.77.67.57.47.47.37.37.37.47.37.37.37.27.17.17.07.07.06.97.07.07.07.07.07.06.96.96.86.86.86.76.86.96.97.07.07.1
1수도권 단독9.89.89.89.89.89.89.79.69.59.49.49.39.49.39.39.39.39.29.29.29.29.19.09.19.19.19.19.19.19.19.09.08.98.88.78.78.88.88.88.88.78.78.78.68.58.58.58.58.48.48.48.48.38.38.28.18.18.07.97.97.87.97.97.97.87.87.87.77.77.67.57.57.47.47.47.47.47.47.37.37.27.17.07.07.07.07.07.07.17.07.07.07.06.96.96.86.86.86.86.96.86.86.86.86.76.76.66.56.56.56.56.56.56.46.46.46.46.36.36.26.26.26.26.26.26.26.26.26.26.16.16.16.06.16.16.26.36.46.4
2지방 단독12.012.012.012.012.012.012.011.911.611.411.411.311.411.311.411.311.311.311.111.111.010.910.910.911.111.111.211.211.211.111.111.010.810.810.710.710.710.810.810.810.810.710.610.410.410.310.310.310.310.410.410.510.410.310.210.010.010.09.99.910.010.010.010.010.010.09.99.89.89.89.79.79.79.89.89.89.79.79.79.69.69.59.59.59.59.59.69.69.69.59.59.49.49.29.29.19.29.39.49.59.59.59.59.39.29.29.08.99.09.19.19.19.19.19.08.98.88.78.78.78.68.78.88.88.78.78.78.58.48.48.48.38.38.38.48.48.48.48.4
35대광역시 단독11.311.311.311.311.311.311.211.110.910.810.810.710.810.911.010.910.910.810.710.710.510.310.310.410.510.610.710.710.810.710.610.410.210.09.910.010.110.110.210.110.110.110.09.89.79.69.69.69.69.79.79.79.79.59.49.29.29.29.09.19.19.39.29.39.39.39.29.29.19.09.19.09.09.29.19.19.09.19.09.08.98.88.88.88.78.88.98.98.88.88.88.78.78.68.58.48.58.78.78.88.88.88.88.58.58.48.28.18.28.38.48.48.38.38.38.18.18.07.97.87.87.97.97.97.87.97.87.77.57.57.47.47.47.57.57.67.57.57.5
48개시도 단독12.512.512.512.512.512.512.412.212.012.012.011.911.911.711.611.711.711.711.611.511.411.411.511.411.511.511.611.511.511.511.511.511.411.511.411.311.311.311.311.311.311.211.111.010.910.910.810.810.911.011.011.011.010.910.810.710.610.610.610.510.610.710.710.510.510.510.510.410.310.310.210.210.210.310.210.310.210.210.210.110.010.010.010.010.010.010.110.110.110.010.09.99.89.79.79.69.69.99.910.010.010.010.09.99.99.89.89.79.79.79.79.79.69.69.69.49.39.39.49.39.49.49.59.59.49.49.39.29.19.19.19.08.99.09.09.19.19.09.0
5서울 단독9.19.19.19.19.19.19.08.98.88.78.68.68.78.68.78.68.68.58.58.48.48.48.38.48.48.58.58.48.48.48.38.28.18.08.08.08.08.18.28.18.08.08.07.97.87.87.87.87.87.87.87.77.77.77.67.57.57.47.37.37.27.37.37.37.37.37.37.27.17.06.97.06.96.96.96.96.96.86.86.76.66.56.46.46.46.46.56.46.56.56.56.46.46.36.36.36.26.26.26.36.26.26.26.16.16.06.05.95.95.95.95.95.95.95.95.85.85.75.65.65.55.55.55.65.55.65.55.55.55.45.45.45.45.45.45.55.55.55.6
6서울 강북지역 단독9.39.39.39.39.39.39.39.19.09.08.88.88.88.88.88.88.78.78.78.58.58.48.38.58.48.68.68.68.68.58.48.38.18.08.08.08.08.28.38.28.28.18.17.97.97.87.87.97.97.98.07.87.97.87.77.67.57.47.37.37.37.57.47.47.47.47.37.27.17.17.07.07.07.07.17.07.17.06.96.86.76.66.56.46.56.56.66.66.66.66.66.56.46.46.36.36.46.46.46.56.46.46.36.26.26.16.16.16.06.06.06.16.16.16.16.05.95.85.75.75.65.65.75.75.75.75.85.85.75.65.65.65.65.75.85.85.85.95.9
7서울 강남지역 단독8.88.88.88.88.88.88.78.78.58.48.48.58.58.48.58.48.48.38.38.38.38.38.38.38.38.48.48.38.38.38.28.28.08.07.97.98.08.08.08.07.97.97.97.97.87.87.87.87.77.77.77.77.67.67.57.57.57.47.37.27.27.27.27.27.27.27.37.27.17.06.96.96.96.96.86.86.76.76.66.66.56.46.46.36.36.36.36.36.36.36.46.36.36.36.26.26.16.16.16.16.16.16.16.06.05.95.95.85.85.75.75.75.75.75.75.65.75.65.55.55.45.45.45.45.45.45.35.35.35.35.25.25.25.25.25.25.35.35.3
8서울 도심권 단독9.89.89.89.89.89.89.79.69.49.59.69.29.09.08.98.98.88.78.78.78.78.98.78.78.88.99.08.88.98.88.98.78.38.28.48.58.48.48.68.78.58.68.58.48.48.58.58.58.48.48.48.38.38.38.08.17.97.67.47.37.47.57.47.77.47.67.57.47.67.47.47.47.67.57.17.37.37.27.27.07.17.07.07.06.87.07.07.07.27.17.46.96.76.56.26.06.16.56.56.66.76.76.86.66.76.66.56.66.16.26.36.26.36.16.16.05.95.85.75.65.75.85.95.75.75.65.75.85.85.75.86.05.95.95.95.95.75.95.9
9서울 동북권 단독9.29.29.29.29.29.29.18.88.88.78.68.68.68.68.68.68.58.58.58.38.38.18.18.28.28.48.48.48.48.48.28.18.08.07.87.87.98.08.18.08.08.07.97.87.77.77.67.77.77.87.87.77.77.77.67.57.37.37.27.37.37.47.47.47.37.37.37.17.06.96.86.96.96.97.07.07.17.06.96.86.66.56.46.36.46.46.56.46.56.56.46.36.36.36.26.36.36.36.46.36.36.36.36.16.16.05.95.95.95.96.06.06.06.06.05.95.85.85.75.65.55.65.65.75.75.75.75.75.75.65.65.65.65.65.75.85.85.96.0
지역2011-012011-022011-032011-042011-052011-062011-072011-082011-092011-102011-112011-122012-012012-022012-032012-042012-052012-062012-072012-082012-092012-102012-112012-122013-012013-022013-032013-042013-052013-062013-072013-082013-092013-102013-112013-122014-012014-022014-032014-042014-052014-062014-072014-082014-092014-102014-112014-122015-012015-022015-032015-042015-052015-062015-072015-082015-092015-102015-112015-122016-012016-022016-032016-042016-052016-062016-072016-082016-092016-102016-112016-122017-012017-022017-032017-042017-052017-062017-072017-082017-092017-102017-112017-122018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-07
19세종 단독<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>20.311.110.411.111.212.012.712.012.012.012.012.111.111.411.711.010.610.310.911.211.111.511.611.711.410.811.610.810.711.211.611.611.311.010.710.09.79.310.19.39.59.610.711.310.711.310.711.311.010.410.310.411.110.911.110.210.19.89.89.59.49.69.99.810.110.110.29.710.410.410.310.510.010.110.110.210.39.99.89.79.79.710.010.210.110.09.69.69.08.99.49.28.98.88.79.29.19.49.59.69.59.49.69.29.38.99.09.29.29.59.39.59.29.18.98.98.68.49.09.18.8
20경기 단독10.810.810.810.810.810.810.710.710.510.410.310.310.310.210.210.210.310.210.210.210.210.110.010.010.010.110.010.010.110.010.010.09.99.99.89.79.89.79.89.79.89.79.79.69.59.59.49.39.39.39.39.29.29.19.09.08.88.88.78.68.68.68.58.58.58.58.48.48.48.38.28.18.18.28.28.28.28.28.18.08.08.07.98.07.97.97.98.08.07.98.08.07.97.97.97.97.87.87.97.97.97.97.97.97.87.77.77.67.67.67.67.67.67.67.67.57.57.47.47.37.37.37.37.47.37.47.47.47.37.37.27.27.27.27.37.37.57.57.6
21강원 단독13.213.213.213.213.213.212.913.113.113.013.113.213.113.012.712.712.512.512.812.712.612.112.012.212.412.512.612.312.412.412.012.012.312.011.812.012.412.412.212.412.412.312.211.511.211.311.111.111.111.211.111.111.111.110.810.410.39.89.99.79.89.910.19.99.79.810.09.99.59.59.49.29.19.29.29.39.49.29.18.78.78.68.58.28.38.48.68.78.68.88.68.58.48.38.48.38.38.68.78.88.88.88.88.68.88.78.58.38.48.58.68.48.38.58.58.48.48.48.38.28.28.28.38.38.38.48.58.48.38.28.18.28.18.18.18.28.28.18.1
22충북 단독14.014.014.014.014.014.013.713.513.513.313.213.413.513.313.613.713.713.613.313.012.812.612.712.712.913.012.912.912.812.612.712.412.412.412.512.412.512.412.412.312.212.112.012.012.012.011.811.811.912.012.012.012.012.112.212.011.811.811.711.711.511.811.711.611.611.511.411.411.111.111.111.211.211.311.411.411.311.311.311.211.211.211.311.111.010.911.311.311.311.411.311.311.311.111.010.911.011.111.111.011.011.111.010.810.810.710.710.810.610.610.610.510.610.410.310.310.310.310.310.410.410.410.310.310.210.210.19.99.79.49.49.29.29.29.39.39.49.39.4
23충남 단독13.113.113.113.113.113.113.013.113.013.012.912.813.012.712.912.712.812.712.612.312.312.312.412.713.012.712.712.412.312.111.912.011.711.811.912.012.012.012.011.912.011.611.411.311.311.311.111.111.211.211.111.111.111.010.910.610.510.510.710.710.510.710.710.610.610.710.710.610.610.610.610.710.710.710.710.710.810.810.910.510.410.410.410.310.410.310.610.610.510.510.410.310.210.110.09.910.010.110.110.310.310.210.010.09.910.09.910.010.010.09.910.09.99.89.89.89.79.69.69.79.49.69.69.69.69.69.69.59.59.59.59.29.29.49.49.39.49.59.5
24전북 단독12.712.712.712.712.712.712.012.012.012.012.011.612.011.911.812.012.012.112.012.011.911.911.711.411.911.711.511.611.611.711.811.311.611.812.011.611.611.711.711.912.012.011.611.611.311.210.810.710.911.011.211.411.411.411.310.910.610.610.410.510.510.710.810.910.911.010.910.410.610.610.711.011.110.910.710.810.610.710.510.510.410.410.310.310.310.310.210.310.110.210.210.010.210.19.89.69.910.310.210.310.310.410.410.310.310.410.29.810.010.210.110.310.310.410.310.210.09.89.79.69.79.69.79.79.59.79.59.39.39.29.19.09.19.19.19.29.39.29.1
25전남 단독13.913.913.913.913.913.913.614.414.914.513.313.112.812.012.012.312.012.411.812.413.112.512.112.012.112.012.012.311.511.412.411.911.411.912.512.312.713.112.912.912.512.111.511.411.211.411.311.812.011.711.811.611.310.911.311.211.610.711.110.210.310.910.210.710.710.710.610.010.510.410.611.111.011.311.010.810.89.99.99.49.19.39.39.510.210.09.89.99.99.89.69.59.39.59.69.59.79.99.69.89.89.79.89.49.39.99.69.29.29.39.39.59.69.99.69.19.09.19.69.29.39.710.19.69.08.89.29.39.69.69.59.39.39.39.19.39.99.49.1
26경북 단독14.214.214.214.214.214.214.214.414.314.214.013.713.613.713.413.213.213.013.013.012.913.113.113.113.012.913.012.912.912.913.113.112.813.012.712.512.012.212.212.112.212.012.312.112.012.012.012.012.112.312.212.312.312.212.112.012.012.011.811.611.811.812.011.811.911.811.711.811.711.611.511.411.411.611.511.611.811.411.811.511.611.711.511.511.411.411.411.411.411.411.311.311.311.211.311.411.311.411.511.511.411.411.411.311.311.211.311.110.911.011.011.010.810.710.710.510.310.410.710.610.710.710.810.710.610.610.510.310.110.09.910.09.89.89.89.810.09.89.6
27경남 단독11.211.211.211.211.211.211.010.810.410.310.110.210.210.010.010.010.010.110.010.010.010.110.19.99.89.910.09.910.010.09.910.010.110.010.09.99.89.79.99.99.89.99.99.99.89.79.69.79.79.99.99.99.99.79.69.59.59.69.69.69.89.99.89.79.69.69.59.49.39.39.29.39.29.49.39.49.39.39.29.19.19.19.29.39.49.49.49.49.39.29.08.98.88.68.88.88.89.19.19.19.19.29.39.09.09.09.08.99.09.19.19.19.09.08.98.68.48.48.58.68.78.89.19.09.08.98.98.68.78.89.08.98.99.09.19.19.18.98.8
28제주 단독8.98.98.98.98.98.98.88.19.09.311.010.911.010.49.89.79.79.79.68.98.47.88.17.98.39.09.09.18.58.78.410.09.810.69.89.17.87.87.97.77.77.88.08.08.18.38.09.89.39.38.78.27.88.07.77.58.68.69.07.68.58.37.87.16.87.27.47.47.97.87.57.77.67.16.87.37.07.27.27.67.27.36.56.36.06.16.16.06.06.06.16.46.56.76.56.86.25.96.56.96.86.86.87.07.06.96.66.36.16.16.16.26.36.46.46.46.46.26.05.95.86.16.05.86.26.26.15.96.26.26.46.36.36.26.26.26.26.46.2