Overview

Dataset statistics

Number of variables37
Number of observations66
Missing cells72
Missing cells (%)2.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory333.9 B

Variable types

Text1
Numeric36

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 오피스텔 가격동향조사중 규모별 월세가격지수 데이터입니다. - (기준월 : 2020.6 = 100) - 단위 : 지수 - 공표시기 : 조사 다음달 15일(휴일인 경우 그 다음날)
Author공공데이터포털
URLhttps://www.data.go.kr/data/15048319/fileData.do

Alerts

2020-07 has 2 (3.0%) missing valuesMissing
2020-08 has 2 (3.0%) missing valuesMissing
2020-09 has 2 (3.0%) missing valuesMissing
2020-10 has 2 (3.0%) missing valuesMissing
2020-11 has 2 (3.0%) missing valuesMissing
2020-12 has 2 (3.0%) missing valuesMissing
2021-01 has 2 (3.0%) missing valuesMissing
2021-02 has 2 (3.0%) missing valuesMissing
2021-03 has 2 (3.0%) missing valuesMissing
2021-04 has 2 (3.0%) missing valuesMissing
2021-05 has 2 (3.0%) missing valuesMissing
2021-06 has 2 (3.0%) missing valuesMissing
2021-07 has 2 (3.0%) missing valuesMissing
2021-08 has 2 (3.0%) missing valuesMissing
2021-09 has 2 (3.0%) missing valuesMissing
2021-10 has 2 (3.0%) missing valuesMissing
2021-11 has 2 (3.0%) missing valuesMissing
2021-12 has 2 (3.0%) missing valuesMissing
2022-01 has 2 (3.0%) missing valuesMissing
2022-02 has 2 (3.0%) missing valuesMissing
2022-03 has 2 (3.0%) missing valuesMissing
2022-04 has 2 (3.0%) missing valuesMissing
2022-05 has 2 (3.0%) missing valuesMissing
2022-06 has 2 (3.0%) missing valuesMissing
2022-07 has 2 (3.0%) missing valuesMissing
2022-08 has 2 (3.0%) missing valuesMissing
2022-09 has 2 (3.0%) missing valuesMissing
2022-10 has 2 (3.0%) missing valuesMissing
2022-11 has 2 (3.0%) missing valuesMissing
2022-12 has 2 (3.0%) missing valuesMissing
2023-01 has 2 (3.0%) missing valuesMissing
2023-02 has 2 (3.0%) missing valuesMissing
2023-03 has 2 (3.0%) missing valuesMissing
2023-04 has 2 (3.0%) missing valuesMissing
2023-05 has 2 (3.0%) missing valuesMissing
2023-06 has 2 (3.0%) missing valuesMissing
지역_규모 has unique valuesUnique

Reproduction

Analysis started2024-04-21 15:47:20.653477
Analysis finished2024-04-21 15:47:21.224123
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_규모
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size656.0 B
2024-04-22T00:47:21.890555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.272727
Min length8

Characters and Unicode

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

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row전국_40㎡이하
2nd row전국_40㎡초과 60㎡이하
3rd row전국_60㎡초과 85㎡이하
4th row전국_85㎡초과
5th row수도권_40㎡이하
ValueCountFrequency (%)
서울 20
 
16.8%
60㎡이하 17
 
14.3%
85㎡이하 16
 
13.4%
대구_40㎡이하 1
 
0.8%
인천_60㎡초과 1
 
0.8%
인천_40㎡초과 1
 
0.8%
인천_40㎡이하 1
 
0.8%
대구_85㎡초과 1
 
0.8%
대구_60㎡초과 1
 
0.8%
대구_40㎡초과 1
 
0.8%
Other values (59) 59
49.6%
2024-04-22T00:47:23.153681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

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

Most occurring categories

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

Most frequent character per category

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

Most occurring scripts

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

Most frequent character per script

Hangul
ValueCountFrequency (%)
50
12.7%
50
12.7%
49
12.4%
49
12.4%
32
 
8.1%
28
 
7.1%
24
 
6.1%
8
 
2.0%
8
 
2.0%
8
 
2.0%
Other values (19) 88
22.3%
Common
ValueCountFrequency (%)
99
23.8%
0 67
16.1%
_ 66
15.9%
53
12.7%
4 34
 
8.2%
6 33
 
7.9%
8 32
 
7.7%
5 32
 
7.7%

Most occurring blocks

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

Most frequent character per block

CJK Compat
ValueCountFrequency (%)
99
100.0%
ASCII
ValueCountFrequency (%)
0 67
21.1%
_ 66
20.8%
53
16.7%
4 34
10.7%
6 33
10.4%
8 32
10.1%
5 32
10.1%
Hangul
ValueCountFrequency (%)
50
12.7%
50
12.7%
49
12.4%
49
12.4%
32
 
8.1%
28
 
7.1%
24
 
6.1%
8
 
2.0%
8
 
2.0%
8
 
2.0%
Other values (19) 88
22.3%

2020-07
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)34.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean99.974375
Minimum99.3
Maximum100.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:23.372084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.3
5-th percentile99.799
Q199.9775
median100
Q3100.01
95-th percentile100.05
Maximum100.45
Range1.15
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.13916845
Coefficient of variation (CV)0.0013920412
Kurtosis12.177505
Mean99.974375
Median Absolute Deviation (MAD)0.01
Skewness-2.1537692
Sum6398.36
Variance0.019367857
MonotonicityNot monotonic
2024-04-22T00:47:23.582005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
100.0 17
25.8%
100.01 13
19.7%
99.99 6
 
9.1%
99.97 4
 
6.1%
100.03 3
 
4.5%
100.05 2
 
3.0%
99.92 2
 
3.0%
100.04 2
 
3.0%
99.91 2
 
3.0%
99.87 1
 
1.5%
Other values (12) 12
18.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.3 1
1.5%
99.5 1
1.5%
99.61 1
1.5%
99.79 1
1.5%
99.85 1
1.5%
99.87 1
1.5%
99.91 2
3.0%
99.92 2
3.0%
99.93 1
1.5%
99.95 1
1.5%
ValueCountFrequency (%)
100.45 1
 
1.5%
100.16 1
 
1.5%
100.07 1
 
1.5%
100.05 2
 
3.0%
100.04 2
 
3.0%
100.03 3
 
4.5%
100.02 1
 
1.5%
100.01 13
19.7%
100.0 17
25.8%
99.99 6
 
9.1%

2020-08
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)51.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean99.9875
Minimum99.41
Maximum100.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:23.810413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.41
5-th percentile99.6625
Q199.9675
median100.01
Q3100.07
95-th percentile100.171
Maximum100.49
Range1.08
Interquartile range (IQR)0.1025

Descriptive statistics

Standard deviation0.16934983
Coefficient of variation (CV)0.00169371
Kurtosis4.7188936
Mean99.9875
Median Absolute Deviation (MAD)0.06
Skewness-1.3108253
Sum6399.2
Variance0.028679365
MonotonicityNot monotonic
2024-04-22T00:47:24.238392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
100.01 9
 
13.6%
100.0 6
 
9.1%
100.07 5
 
7.6%
100.04 4
 
6.1%
100.09 3
 
4.5%
99.99 3
 
4.5%
100.06 2
 
3.0%
100.1 2
 
3.0%
100.08 2
 
3.0%
100.03 2
 
3.0%
Other values (23) 26
39.4%
ValueCountFrequency (%)
99.41 1
1.5%
99.42 1
1.5%
99.49 1
1.5%
99.64 1
1.5%
99.79 1
1.5%
99.82 2
3.0%
99.83 2
3.0%
99.85 1
1.5%
99.89 1
1.5%
99.9 1
1.5%
ValueCountFrequency (%)
100.49 1
 
1.5%
100.27 1
 
1.5%
100.19 1
 
1.5%
100.18 1
 
1.5%
100.12 2
 
3.0%
100.1 2
 
3.0%
100.09 3
4.5%
100.08 2
 
3.0%
100.07 5
7.6%
100.06 2
 
3.0%

2020-09
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)59.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.01156
Minimum99.21
Maximum100.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:24.453063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.21
5-th percentile99.658
Q199.985
median100.035
Q3100.11
95-th percentile100.2285
Maximum100.59
Range1.38
Interquartile range (IQR)0.125

Descriptive statistics

Standard deviation0.21858287
Coefficient of variation (CV)0.002185576
Kurtosis5.3860686
Mean100.01156
Median Absolute Deviation (MAD)0.075
Skewness-1.4188101
Sum6400.74
Variance0.047778472
MonotonicityNot monotonic
2024-04-22T00:47:24.689671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
100.11 5
 
7.6%
100.01 5
 
7.6%
100.02 5
 
7.6%
100.1 3
 
4.5%
100.07 3
 
4.5%
100.12 3
 
4.5%
100.05 2
 
3.0%
100.03 2
 
3.0%
99.94 2
 
3.0%
100.18 2
 
3.0%
Other values (28) 32
48.5%
ValueCountFrequency (%)
99.21 1
1.5%
99.22 1
1.5%
99.46 1
1.5%
99.64 1
1.5%
99.76 1
1.5%
99.78 1
1.5%
99.79 1
1.5%
99.8 1
1.5%
99.86 1
1.5%
99.87 1
1.5%
ValueCountFrequency (%)
100.59 1
 
1.5%
100.51 1
 
1.5%
100.26 1
 
1.5%
100.23 1
 
1.5%
100.22 1
 
1.5%
100.19 1
 
1.5%
100.18 2
3.0%
100.16 1
 
1.5%
100.13 1
 
1.5%
100.12 3
4.5%

2020-10
Real number (ℝ)

MISSING 

Distinct40
Distinct (%)62.5%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.07094
Minimum99.16
Maximum100.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:24.929086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.16
5-th percentile99.6705
Q199.99
median100.09
Q3100.1825
95-th percentile100.3555
Maximum100.77
Range1.61
Interquartile range (IQR)0.1925

Descriptive statistics

Standard deviation0.22799136
Coefficient of variation (CV)0.0022782974
Kurtosis4.2257271
Mean100.07094
Median Absolute Deviation (MAD)0.1
Skewness-0.67895583
Sum6404.54
Variance0.05198006
MonotonicityNot monotonic
2024-04-22T00:47:25.171644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
100.03 4
 
6.1%
100.12 3
 
4.5%
100.33 3
 
4.5%
100.18 3
 
4.5%
99.99 3
 
4.5%
100.04 3
 
4.5%
100.13 2
 
3.0%
100.11 2
 
3.0%
100.01 2
 
3.0%
99.64 2
 
3.0%
Other values (30) 37
56.1%
ValueCountFrequency (%)
99.16 1
1.5%
99.64 2
3.0%
99.66 1
1.5%
99.73 1
1.5%
99.81 1
1.5%
99.82 1
1.5%
99.83 1
1.5%
99.89 1
1.5%
99.91 1
1.5%
99.92 1
1.5%
ValueCountFrequency (%)
100.77 1
 
1.5%
100.52 1
 
1.5%
100.44 1
 
1.5%
100.36 1
 
1.5%
100.33 3
4.5%
100.31 1
 
1.5%
100.26 1
 
1.5%
100.23 1
 
1.5%
100.22 2
3.0%
100.2 2
3.0%

2020-11
Real number (ℝ)

MISSING 

Distinct47
Distinct (%)73.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.15969
Minimum99.17
Maximum101.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:25.428200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.17
5-th percentile99.7845
Q1100.04
median100.15
Q3100.2525
95-th percentile100.6125
Maximum101.04
Range1.87
Interquartile range (IQR)0.2125

Descriptive statistics

Standard deviation0.28087713
Coefficient of variation (CV)0.0028042932
Kurtosis2.982537
Mean100.15969
Median Absolute Deviation (MAD)0.11
Skewness0.063187145
Sum6410.22
Variance0.078891964
MonotonicityNot monotonic
2024-04-22T00:47:25.676820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
100.12 4
 
6.1%
100.19 3
 
4.5%
100.09 3
 
4.5%
100.15 3
 
4.5%
99.83 2
 
3.0%
100.22 2
 
3.0%
100.04 2
 
3.0%
100.25 2
 
3.0%
100.14 2
 
3.0%
100.0 2
 
3.0%
Other values (37) 39
59.1%
ValueCountFrequency (%)
99.17 1
1.5%
99.64 1
1.5%
99.76 1
1.5%
99.78 1
1.5%
99.81 2
3.0%
99.83 2
3.0%
99.92 1
1.5%
99.93 1
1.5%
99.94 1
1.5%
99.99 1
1.5%
ValueCountFrequency (%)
101.04 1
1.5%
100.79 1
1.5%
100.78 1
1.5%
100.62 1
1.5%
100.57 1
1.5%
100.54 1
1.5%
100.53 1
1.5%
100.47 1
1.5%
100.45 1
1.5%
100.4 1
1.5%

2020-12
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)78.1%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.25406
Minimum99.23
Maximum101.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:25.939479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.23
5-th percentile99.769
Q1100.03
median100.205
Q3100.41
95-th percentile100.815
Maximum101.93
Range2.7
Interquartile range (IQR)0.38

Descriptive statistics

Standard deviation0.41017116
Coefficient of variation (CV)0.0040913171
Kurtosis4.5491456
Mean100.25406
Median Absolute Deviation (MAD)0.2
Skewness1.2055777
Sum6416.26
Variance0.16824038
MonotonicityNot monotonic
2024-04-22T00:47:26.201336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.82 3
 
4.5%
100.2 3
 
4.5%
100.33 2
 
3.0%
99.93 2
 
3.0%
100.12 2
 
3.0%
100.07 2
 
3.0%
99.95 2
 
3.0%
100.13 2
 
3.0%
100.35 2
 
3.0%
100.26 2
 
3.0%
Other values (40) 42
63.6%
ValueCountFrequency (%)
99.23 1
 
1.5%
99.48 1
 
1.5%
99.67 1
 
1.5%
99.76 1
 
1.5%
99.82 3
4.5%
99.86 1
 
1.5%
99.88 1
 
1.5%
99.93 2
3.0%
99.94 1
 
1.5%
99.95 2
3.0%
ValueCountFrequency (%)
101.93 1
1.5%
101.48 1
1.5%
100.9 1
1.5%
100.83 1
1.5%
100.73 1
1.5%
100.68 1
1.5%
100.64 1
1.5%
100.63 1
1.5%
100.62 1
1.5%
100.59 1
1.5%

2021-01
Real number (ℝ)

MISSING 

Distinct50
Distinct (%)78.1%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.31625
Minimum99
Maximum102.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:26.446000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99
5-th percentile99.6165
Q1100.0575
median100.32
Q3100.54
95-th percentile101.0735
Maximum102.25
Range3.25
Interquartile range (IQR)0.4825

Descriptive statistics

Standard deviation0.50304943
Coefficient of variation (CV)0.0050146355
Kurtosis3.5534282
Mean100.31625
Median Absolute Deviation (MAD)0.235
Skewness0.87880886
Sum6420.24
Variance0.25305873
MonotonicityNot monotonic
2024-04-22T00:47:26.800220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.35 3
 
4.5%
99.89 3
 
4.5%
100.38 3
 
4.5%
100.06 2
 
3.0%
99.77 2
 
3.0%
100.54 2
 
3.0%
100.48 2
 
3.0%
100.13 2
 
3.0%
100.28 2
 
3.0%
100.18 2
 
3.0%
Other values (40) 41
62.1%
ValueCountFrequency (%)
99.0 1
 
1.5%
99.34 1
 
1.5%
99.49 1
 
1.5%
99.6 1
 
1.5%
99.71 1
 
1.5%
99.77 2
3.0%
99.84 1
 
1.5%
99.88 1
 
1.5%
99.89 3
4.5%
99.92 1
 
1.5%
ValueCountFrequency (%)
102.25 1
1.5%
101.71 1
1.5%
101.25 1
1.5%
101.09 1
1.5%
100.98 1
1.5%
100.93 1
1.5%
100.81 1
1.5%
100.73 1
1.5%
100.69 1
1.5%
100.66 1
1.5%

2021-02
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)79.7%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.43422
Minimum98.91
Maximum102.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:27.221138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.91
5-th percentile99.7215
Q1100.12
median100.415
Q3100.7175
95-th percentile101.282
Maximum102.28
Range3.37
Interquartile range (IQR)0.5975

Descriptive statistics

Standard deviation0.56658208
Coefficient of variation (CV)0.0056413251
Kurtosis2.6792972
Mean100.43422
Median Absolute Deviation (MAD)0.31
Skewness0.7009863
Sum6427.79
Variance0.32101525
MonotonicityNot monotonic
2024-04-22T00:47:27.655879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.44 3
 
4.5%
100.18 3
 
4.5%
100.51 3
 
4.5%
100.4 2
 
3.0%
100.42 2
 
3.0%
101.18 2
 
3.0%
100.3 2
 
3.0%
100.03 2
 
3.0%
100.15 2
 
3.0%
101.0 2
 
3.0%
Other values (41) 41
62.1%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.91 1
1.5%
99.23 1
1.5%
99.56 1
1.5%
99.72 1
1.5%
99.73 1
1.5%
99.77 1
1.5%
99.91 1
1.5%
99.93 1
1.5%
99.96 1
1.5%
99.98 1
1.5%
ValueCountFrequency (%)
102.28 1
1.5%
102.25 1
1.5%
101.46 1
1.5%
101.3 1
1.5%
101.18 2
3.0%
101.0 2
3.0%
100.95 1
1.5%
100.88 1
1.5%
100.87 1
1.5%
100.79 1
1.5%

2021-03
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)84.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.52219
Minimum98.92
Maximum102.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:28.079857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.92
5-th percentile99.569
Q1100.2425
median100.47
Q3100.78
95-th percentile101.813
Maximum102.9
Range3.98
Interquartile range (IQR)0.5375

Descriptive statistics

Standard deviation0.66593881
Coefficient of variation (CV)0.0066247943
Kurtosis3.0417865
Mean100.52219
Median Absolute Deviation (MAD)0.3
Skewness0.94286901
Sum6433.42
Variance0.4434745
MonotonicityNot monotonic
2024-04-22T00:47:28.538304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.47 4
 
6.1%
100.52 2
 
3.0%
100.31 2
 
3.0%
100.3 2
 
3.0%
100.26 2
 
3.0%
100.45 2
 
3.0%
100.77 2
 
3.0%
100.81 2
 
3.0%
100.82 1
 
1.5%
99.09 1
 
1.5%
Other values (44) 44
66.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.92 1
1.5%
99.09 1
1.5%
99.55 1
1.5%
99.56 1
1.5%
99.62 1
1.5%
99.71 1
1.5%
99.89 1
1.5%
99.91 1
1.5%
99.95 1
1.5%
100.01 1
1.5%
ValueCountFrequency (%)
102.9 1
1.5%
102.48 1
1.5%
101.88 1
1.5%
101.87 1
1.5%
101.49 1
1.5%
101.38 1
1.5%
101.27 1
1.5%
101.08 1
1.5%
101.02 1
1.5%
100.97 1
1.5%

2021-04
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)85.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.6175
Minimum98.87
Maximum104.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:28.949981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.87
5-th percentile99.5685
Q1100.325
median100.5
Q3100.8425
95-th percentile101.992
Maximum104.34
Range5.47
Interquartile range (IQR)0.5175

Descriptive statistics

Standard deviation0.81752821
Coefficient of variation (CV)0.0081251096
Kurtosis6.8340293
Mean100.6175
Median Absolute Deviation (MAD)0.29
Skewness1.6836571
Sum6439.52
Variance0.66835238
MonotonicityNot monotonic
2024-04-22T00:47:29.368600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.5 5
 
7.6%
100.0 2
 
3.0%
100.37 2
 
3.0%
100.47 2
 
3.0%
100.71 2
 
3.0%
100.62 2
 
3.0%
101.3 1
 
1.5%
104.34 1
 
1.5%
101.11 1
 
1.5%
100.48 1
 
1.5%
Other values (45) 45
68.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.87 1
1.5%
98.89 1
1.5%
99.34 1
1.5%
99.54 1
1.5%
99.73 1
1.5%
99.78 1
1.5%
99.89 1
1.5%
99.98 1
1.5%
100.0 2
3.0%
100.03 1
1.5%
ValueCountFrequency (%)
104.34 1
1.5%
102.84 1
1.5%
102.28 1
1.5%
102.04 1
1.5%
101.72 1
1.5%
101.4 1
1.5%
101.36 1
1.5%
101.3 1
1.5%
101.21 1
1.5%
101.19 1
1.5%

2021-05
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)89.1%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.69453
Minimum98.8
Maximum104.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:29.765540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.8
5-th percentile99.591
Q1100.3275
median100.57
Q3100.9225
95-th percentile102.251
Maximum104.64
Range5.84
Interquartile range (IQR)0.595

Descriptive statistics

Standard deviation0.884914
Coefficient of variation (CV)0.0087881039
Kurtosis6.1632995
Mean100.69453
Median Absolute Deviation (MAD)0.31
Skewness1.6797202
Sum6444.45
Variance0.78307279
MonotonicityNot monotonic
2024-04-22T00:47:30.179033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.38 3
 
4.5%
100.68 2
 
3.0%
100.88 2
 
3.0%
100.65 2
 
3.0%
100.57 2
 
3.0%
100.03 2
 
3.0%
99.96 1
 
1.5%
100.93 1
 
1.5%
99.71 1
 
1.5%
100.83 1
 
1.5%
Other values (47) 47
71.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.8 1
1.5%
98.98 1
1.5%
99.43 1
1.5%
99.57 1
1.5%
99.71 1
1.5%
99.79 1
1.5%
99.85 1
1.5%
99.96 1
1.5%
100.03 2
3.0%
100.05 1
1.5%
ValueCountFrequency (%)
104.64 1
1.5%
103.04 1
1.5%
102.56 1
1.5%
102.26 1
1.5%
102.2 1
1.5%
101.64 1
1.5%
101.5 1
1.5%
101.47 1
1.5%
101.39 1
1.5%
101.28 1
1.5%

2021-06
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)89.1%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.82141
Minimum98.56
Maximum107.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:30.581526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.56
5-th percentile99.573
Q1100.365
median100.595
Q3101.065
95-th percentile102.65
Maximum107.34
Range8.78
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.1561222
Coefficient of variation (CV)0.011467031
Kurtosis15.78791
Mean100.82141
Median Absolute Deviation (MAD)0.345
Skewness3.0602954
Sum6452.57
Variance1.3366186
MonotonicityNot monotonic
2024-04-22T00:47:30.989940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.59 3
 
4.5%
100.72 3
 
4.5%
101.5 2
 
3.0%
100.71 2
 
3.0%
100.48 2
 
3.0%
99.76 1
 
1.5%
99.99 1
 
1.5%
100.97 1
 
1.5%
101.11 1
 
1.5%
101.33 1
 
1.5%
Other values (47) 47
71.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.56 1
1.5%
99.03 1
1.5%
99.47 1
1.5%
99.54 1
1.5%
99.76 1
1.5%
99.77 1
1.5%
99.93 1
1.5%
99.99 1
1.5%
100.02 1
1.5%
100.08 1
1.5%
ValueCountFrequency (%)
107.34 1
1.5%
103.42 1
1.5%
102.86 1
1.5%
102.68 1
1.5%
102.48 1
1.5%
101.66 1
1.5%
101.65 1
1.5%
101.6 1
1.5%
101.5 2
3.0%
101.48 1
1.5%

2021-07
Real number (ℝ)

MISSING 

Distinct55
Distinct (%)85.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.955
Minimum98.56
Maximum107.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:31.546379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.56
5-th percentile99.732
Q1100.4175
median100.69
Q3101.18
95-th percentile103.238
Maximum107.5
Range8.94
Interquartile range (IQR)0.7625

Descriptive statistics

Standard deviation1.2160344
Coefficient of variation (CV)0.012045311
Kurtosis13.121942
Mean100.955
Median Absolute Deviation (MAD)0.385
Skewness2.854973
Sum6461.12
Variance1.4787397
MonotonicityNot monotonic
2024-04-22T00:47:31.781535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.82 3
 
4.5%
100.6 2
 
3.0%
101.05 2
 
3.0%
99.98 2
 
3.0%
100.35 2
 
3.0%
100.61 2
 
3.0%
100.51 2
 
3.0%
100.9 2
 
3.0%
103.42 1
 
1.5%
103.17 1
 
1.5%
Other values (45) 45
68.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.56 1
1.5%
99.4 1
1.5%
99.69 1
1.5%
99.72 1
1.5%
99.8 1
1.5%
99.98 2
3.0%
99.99 1
1.5%
100.02 1
1.5%
100.15 1
1.5%
100.2 1
1.5%
ValueCountFrequency (%)
107.5 1
1.5%
103.75 1
1.5%
103.42 1
1.5%
103.25 1
1.5%
103.17 1
1.5%
101.84 1
1.5%
101.8 1
1.5%
101.72 1
1.5%
101.68 1
1.5%
101.62 1
1.5%

2021-08
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.14328
Minimum98.72
Maximum107.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:32.018997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.72
5-th percentile99.7635
Q1100.5875
median100.775
Q3101.4425
95-th percentile103.3785
Maximum107.55
Range8.83
Interquartile range (IQR)0.855

Descriptive statistics

Standard deviation1.2895392
Coefficient of variation (CV)0.012749628
Kurtosis9.6716286
Mean101.14328
Median Absolute Deviation (MAD)0.43
Skewness2.4980416
Sum6473.17
Variance1.6629113
MonotonicityNot monotonic
2024-04-22T00:47:32.253212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.69 2
 
3.0%
101.25 2
 
3.0%
101.17 2
 
3.0%
100.64 2
 
3.0%
101.04 2
 
3.0%
100.66 2
 
3.0%
100.57 1
 
1.5%
99.98 1
 
1.5%
101.64 1
 
1.5%
101.67 1
 
1.5%
Other values (48) 48
72.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.72 1
1.5%
99.69 1
1.5%
99.71 1
1.5%
99.75 1
1.5%
99.84 1
1.5%
99.98 1
1.5%
100.03 1
1.5%
100.12 1
1.5%
100.28 1
1.5%
100.29 1
1.5%
ValueCountFrequency (%)
107.55 1
1.5%
104.72 1
1.5%
104.06 1
1.5%
103.41 1
1.5%
103.2 1
1.5%
102.52 1
1.5%
102.29 1
1.5%
102.08 1
1.5%
102.03 1
1.5%
101.91 1
1.5%

2021-09
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.34766
Minimum98.98
Maximum107.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:32.496897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.98
5-th percentile99.8805
Q1100.65
median100.97
Q3101.675
95-th percentile103.7515
Maximum107.77
Range8.79
Interquartile range (IQR)1.025

Descriptive statistics

Standard deviation1.3946152
Coefficient of variation (CV)0.013760705
Kurtosis7.336604
Mean101.34766
Median Absolute Deviation (MAD)0.425
Skewness2.2401374
Sum6486.25
Variance1.9449516
MonotonicityNot monotonic
2024-04-22T00:47:32.739529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.65 2
 
3.0%
100.68 2
 
3.0%
101.09 2
 
3.0%
100.77 2
 
3.0%
100.56 2
 
3.0%
100.8 1
 
1.5%
103.84 1
 
1.5%
99.87 1
 
1.5%
100.09 1
 
1.5%
100.39 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.98 1
1.5%
99.69 1
1.5%
99.72 1
1.5%
99.87 1
1.5%
99.94 1
1.5%
100.09 1
1.5%
100.15 1
1.5%
100.27 1
1.5%
100.28 1
1.5%
100.36 1
1.5%
ValueCountFrequency (%)
107.77 1
1.5%
105.66 1
1.5%
104.3 1
1.5%
103.84 1
1.5%
103.25 1
1.5%
103.24 1
1.5%
103.01 1
1.5%
102.89 1
1.5%
102.55 1
1.5%
102.22 1
1.5%

2021-10
Real number (ℝ)

MISSING 

Distinct57
Distinct (%)89.1%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.46875
Minimum99.51
Maximum107.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:32.982612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.51
5-th percentile99.9245
Q1100.7425
median101.105
Q3101.75
95-th percentile103.8145
Maximum107.78
Range8.27
Interquartile range (IQR)1.0075

Descriptive statistics

Standard deviation1.4140435
Coefficient of variation (CV)0.013935754
Kurtosis6.8147032
Mean101.46875
Median Absolute Deviation (MAD)0.435
Skewness2.2167942
Sum6494
Variance1.999519
MonotonicityNot monotonic
2024-04-22T00:47:33.223656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.22 2
 
3.0%
101.53 2
 
3.0%
101.27 2
 
3.0%
100.76 2
 
3.0%
100.68 2
 
3.0%
100.86 2
 
3.0%
101.09 2
 
3.0%
102.04 1
 
1.5%
101.81 1
 
1.5%
102.24 1
 
1.5%
Other values (47) 47
71.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.51 1
1.5%
99.69 1
1.5%
99.79 1
1.5%
99.92 1
1.5%
99.95 1
1.5%
100.11 1
1.5%
100.21 1
1.5%
100.29 1
1.5%
100.36 1
1.5%
100.49 1
1.5%
ValueCountFrequency (%)
107.78 1
1.5%
106.13 1
1.5%
104.45 1
1.5%
103.87 1
1.5%
103.5 1
1.5%
103.31 1
1.5%
103.3 1
1.5%
103.13 1
1.5%
102.74 1
1.5%
102.39 1
1.5%

2021-11
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.67891
Minimum99.56
Maximum108.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:33.466638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.56
5-th percentile99.9915
Q1100.7975
median101.28
Q3102.0675
95-th percentile104.0235
Maximum108.1
Range8.54
Interquartile range (IQR)1.27

Descriptive statistics

Standard deviation1.5337806
Coefficient of variation (CV)0.01508455
Kurtosis5.2561635
Mean101.67891
Median Absolute Deviation (MAD)0.56
Skewness1.9567379
Sum6507.45
Variance2.3524829
MonotonicityNot monotonic
2024-04-22T00:47:33.706410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.5 2
 
3.0%
100.73 2
 
3.0%
103.48 2
 
3.0%
101.39 2
 
3.0%
100.12 1
 
1.5%
100.69 1
 
1.5%
102.06 1
 
1.5%
101.87 1
 
1.5%
100.71 1
 
1.5%
102.27 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.56 1
1.5%
99.71 1
1.5%
99.95 1
1.5%
99.99 1
1.5%
100.0 1
1.5%
100.12 1
1.5%
100.24 1
1.5%
100.31 1
1.5%
100.38 1
1.5%
100.59 1
1.5%
ValueCountFrequency (%)
108.1 1
1.5%
106.79 1
1.5%
104.46 1
1.5%
104.04 1
1.5%
103.93 1
1.5%
103.9 1
1.5%
103.74 1
1.5%
103.48 2
3.0%
103.45 1
1.5%
102.99 1
1.5%

2021-12
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.79859
Minimum99.75
Maximum108.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:33.953043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.75
5-th percentile100.0295
Q1100.875
median101.445
Q3102.1525
95-th percentile104.1435
Maximum108.34
Range8.59
Interquartile range (IQR)1.2775

Descriptive statistics

Standard deviation1.553045
Coefficient of variation (CV)0.015256056
Kurtosis5.2263977
Mean101.79859
Median Absolute Deviation (MAD)0.63
Skewness1.918239
Sum6515.11
Variance2.4119488
MonotonicityNot monotonic
2024-04-22T00:47:34.203560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.75 2
 
3.0%
100.14 2
 
3.0%
100.89 2
 
3.0%
99.75 2
 
3.0%
101.74 2
 
3.0%
101.01 1
 
1.5%
101.68 1
 
1.5%
101.59 1
 
1.5%
101.34 1
 
1.5%
104.16 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.75 2
3.0%
99.94 1
1.5%
100.01 1
1.5%
100.14 2
3.0%
100.33 1
1.5%
100.36 1
1.5%
100.4 1
1.5%
100.65 1
1.5%
100.75 2
3.0%
100.79 1
1.5%
ValueCountFrequency (%)
108.34 1
1.5%
106.88 1
1.5%
104.59 1
1.5%
104.16 1
1.5%
104.05 1
1.5%
104.03 1
1.5%
103.88 1
1.5%
103.63 1
1.5%
103.59 1
1.5%
103.45 1
1.5%

2022-01
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.88953
Minimum99.76
Maximum108.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:34.454336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.76
5-th percentile100.0545
Q1100.935
median101.525
Q3102.215
95-th percentile104.3055
Maximum108.34
Range8.58
Interquartile range (IQR)1.28

Descriptive statistics

Standard deviation1.5767491
Coefficient of variation (CV)0.015475085
Kurtosis4.7472571
Mean101.88953
Median Absolute Deviation (MAD)0.635
Skewness1.846398
Sum6520.93
Variance2.4861379
MonotonicityNot monotonic
2024-04-22T00:47:34.838677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.25 2
 
3.0%
100.89 2
 
3.0%
101.31 2
 
3.0%
101.5 2
 
3.0%
101.73 1
 
1.5%
100.95 1
 
1.5%
101.42 1
 
1.5%
102.2 1
 
1.5%
101.88 1
 
1.5%
100.8 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.76 1
1.5%
99.82 1
1.5%
99.94 1
1.5%
100.02 1
1.5%
100.25 2
3.0%
100.43 1
1.5%
100.49 1
1.5%
100.51 1
1.5%
100.68 1
1.5%
100.75 1
1.5%
ValueCountFrequency (%)
108.34 1
1.5%
107.1 1
1.5%
104.65 1
1.5%
104.31 1
1.5%
104.28 1
1.5%
104.2 1
1.5%
104.18 1
1.5%
103.85 1
1.5%
103.68 1
1.5%
103.63 1
1.5%

2022-02
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.93937
Minimum99.75
Maximum108.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:35.255757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.75
5-th percentile100.142
Q1100.9425
median101.655
Q3102.1975
95-th percentile104.449
Maximum108.34
Range8.59
Interquartile range (IQR)1.255

Descriptive statistics

Standard deviation1.5834049
Coefficient of variation (CV)0.015532809
Kurtosis4.4807992
Mean101.93937
Median Absolute Deviation (MAD)0.655
Skewness1.7882653
Sum6524.12
Variance2.507171
MonotonicityNot monotonic
2024-04-22T00:47:35.687537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.21 2
 
3.0%
102.18 2
 
3.0%
101.13 2
 
3.0%
102.01 1
 
1.5%
100.95 1
 
1.5%
101.47 1
 
1.5%
102.25 1
 
1.5%
101.92 1
 
1.5%
100.85 1
 
1.5%
102.17 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.75 1
1.5%
99.78 1
1.5%
99.95 1
1.5%
100.13 1
1.5%
100.21 2
3.0%
100.41 1
1.5%
100.49 1
1.5%
100.69 1
1.5%
100.7 1
1.5%
100.78 1
1.5%
ValueCountFrequency (%)
108.34 1
1.5%
107.09 1
1.5%
104.93 1
1.5%
104.47 1
1.5%
104.33 1
1.5%
104.29 1
1.5%
104.27 1
1.5%
103.86 1
1.5%
103.75 1
1.5%
103.4 1
1.5%

2022-03
Real number (ℝ)

MISSING 

Distinct56
Distinct (%)87.5%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.01078
Minimum99.73
Maximum108.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:36.100245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.73
5-th percentile100.062
Q1100.9975
median101.855
Q3102.25
95-th percentile104.897
Maximum108.34
Range8.61
Interquartile range (IQR)1.2525

Descriptive statistics

Standard deviation1.6218785
Coefficient of variation (CV)0.015899089
Kurtosis3.8592737
Mean102.01078
Median Absolute Deviation (MAD)0.83
Skewness1.6578252
Sum6528.69
Variance2.6304899
MonotonicityNot monotonic
2024-04-22T00:47:36.519456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.22 3
 
4.5%
101.94 2
 
3.0%
102.19 2
 
3.0%
101.44 2
 
3.0%
102.23 2
 
3.0%
101.92 2
 
3.0%
101.86 2
 
3.0%
103.53 1
 
1.5%
108.34 1
 
1.5%
102.28 1
 
1.5%
Other values (46) 46
69.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.73 1
1.5%
99.74 1
1.5%
99.79 1
1.5%
100.05 1
1.5%
100.13 1
1.5%
100.3 1
1.5%
100.32 1
1.5%
100.54 1
1.5%
100.74 1
1.5%
100.76 1
1.5%
ValueCountFrequency (%)
108.34 1
1.5%
107.19 1
1.5%
105.09 1
1.5%
104.96 1
1.5%
104.54 1
1.5%
104.47 1
1.5%
104.35 1
1.5%
103.91 1
1.5%
103.76 1
1.5%
103.53 1
1.5%

2022-04
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.09688
Minimum99.7
Maximum108.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:36.928824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.7
5-th percentile100.021
Q1101.1
median101.955
Q3102.43
95-th percentile104.936
Maximum108.34
Range8.64
Interquartile range (IQR)1.33

Descriptive statistics

Standard deviation1.6553711
Coefficient of variation (CV)0.01621373
Kurtosis3.355295
Mean102.09688
Median Absolute Deviation (MAD)0.765
Skewness1.5498673
Sum6534.2
Variance2.7402536
MonotonicityNot monotonic
2024-04-22T00:47:37.347047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.43 2
 
3.0%
100.84 2
 
3.0%
101.98 2
 
3.0%
101.5 1
 
1.5%
100.0 1
 
1.5%
100.14 1
 
1.5%
100.94 1
 
1.5%
99.77 1
 
1.5%
102.28 1
 
1.5%
100.87 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.7 1
1.5%
99.77 1
1.5%
99.82 1
1.5%
100.0 1
1.5%
100.14 1
1.5%
100.28 1
1.5%
100.41 1
1.5%
100.42 1
1.5%
100.77 1
1.5%
100.8 1
1.5%
ValueCountFrequency (%)
108.34 1
1.5%
107.3 1
1.5%
105.6 1
1.5%
104.96 1
1.5%
104.8 1
1.5%
104.5 1
1.5%
104.47 1
1.5%
104.03 1
1.5%
103.83 1
1.5%
103.77 1
1.5%

2022-05
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.18516
Minimum99.68
Maximum108.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:37.760179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.68
5-th percentile100.0475
Q1101.175
median101.99
Q3102.6425
95-th percentile104.957
Maximum108.33
Range8.65
Interquartile range (IQR)1.4675

Descriptive statistics

Standard deviation1.683248
Coefficient of variation (CV)0.016472529
Kurtosis3.0247476
Mean102.18516
Median Absolute Deviation (MAD)0.73
Skewness1.4687324
Sum6539.85
Variance2.8333238
MonotonicityNot monotonic
2024-04-22T00:47:38.405481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.09 2
 
3.0%
101.61 2
 
3.0%
101.49 2
 
3.0%
102.41 1
 
1.5%
100.04 1
 
1.5%
105.95 1
 
1.5%
102.19 1
 
1.5%
103.49 1
 
1.5%
100.87 1
 
1.5%
100.39 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.68 1
1.5%
99.77 1
1.5%
99.96 1
1.5%
100.04 1
1.5%
100.09 1
1.5%
100.26 1
1.5%
100.39 1
1.5%
100.51 1
1.5%
100.75 1
1.5%
100.8 1
1.5%
ValueCountFrequency (%)
108.33 1
1.5%
107.5 1
1.5%
105.95 1
1.5%
104.96 1
1.5%
104.94 1
1.5%
104.62 1
1.5%
104.43 1
1.5%
104.12 1
1.5%
103.95 1
1.5%
103.82 1
1.5%

2022-06
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.27563
Minimum99.68
Maximum108.28
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:38.824938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.68
5-th percentile100.0695
Q1101.34
median102.035
Q3102.83
95-th percentile104.971
Maximum108.28
Range8.6
Interquartile range (IQR)1.49

Descriptive statistics

Standard deviation1.6909665
Coefficient of variation (CV)0.016533427
Kurtosis2.7398145
Mean102.27563
Median Absolute Deviation (MAD)0.805
Skewness1.3582957
Sum6545.64
Variance2.8593679
MonotonicityNot monotonic
2024-04-22T00:47:39.255955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.4 2
 
3.0%
100.88 2
 
3.0%
101.79 2
 
3.0%
102.25 2
 
3.0%
102.08 1
 
1.5%
100.05 1
 
1.5%
101.68 1
 
1.5%
102.3 1
 
1.5%
102.01 1
 
1.5%
102.48 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.68 1
1.5%
99.82 1
1.5%
99.9 1
1.5%
100.05 1
1.5%
100.18 1
1.5%
100.24 1
1.5%
100.36 1
1.5%
100.66 1
1.5%
100.72 1
1.5%
100.8 1
1.5%
ValueCountFrequency (%)
108.28 1
1.5%
107.65 1
1.5%
106.03 1
1.5%
104.98 1
1.5%
104.92 1
1.5%
104.72 1
1.5%
104.36 1
1.5%
104.2 1
1.5%
104.04 1
1.5%
103.82 1
1.5%

2022-07
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.41687
Minimum99.69
Maximum108.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:39.673692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.69
5-th percentile100.1
Q1101.4575
median102.16
Q3103.005
95-th percentile105.146
Maximum108.57
Range8.88
Interquartile range (IQR)1.5475

Descriptive statistics

Standard deviation1.7386547
Coefficient of variation (CV)0.016976252
Kurtosis2.6841705
Mean102.41687
Median Absolute Deviation (MAD)0.84
Skewness1.291435
Sum6554.68
Variance3.0229202
MonotonicityNot monotonic
2024-04-22T00:47:40.096299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.16 2
 
3.0%
103.0 2
 
3.0%
102.56 2
 
3.0%
102.61 1
 
1.5%
100.29 1
 
1.5%
100.98 1
 
1.5%
102.13 1
 
1.5%
102.48 1
 
1.5%
102.08 1
 
1.5%
100.88 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.69 1
1.5%
99.75 1
1.5%
99.99 1
1.5%
100.07 1
1.5%
100.27 1
1.5%
100.29 1
1.5%
100.33 1
1.5%
100.66 1
1.5%
100.73 1
1.5%
100.82 1
1.5%
ValueCountFrequency (%)
108.57 1
1.5%
107.94 1
1.5%
106.21 1
1.5%
105.17 1
1.5%
105.01 1
1.5%
104.91 1
1.5%
104.41 1
1.5%
104.37 1
1.5%
104.2 1
1.5%
103.92 1
1.5%

2022-08
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.54078
Minimum99.67
Maximum108.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:40.505419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.67
5-th percentile100.135
Q1101.5575
median102.255
Q3103.1325
95-th percentile105.457
Maximum108.88
Range9.21
Interquartile range (IQR)1.575

Descriptive statistics

Standard deviation1.78934
Coefficient of variation (CV)0.017450032
Kurtosis2.6788005
Mean102.54078
Median Absolute Deviation (MAD)0.855
Skewness1.2506649
Sum6562.61
Variance3.2017375
MonotonicityNot monotonic
2024-04-22T00:47:40.943530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.63 2
 
3.0%
102.13 2
 
3.0%
99.74 1
 
1.5%
101.93 1
 
1.5%
100.02 1
 
1.5%
100.12 1
 
1.5%
101.04 1
 
1.5%
102.26 1
 
1.5%
100.95 1
 
1.5%
102.75 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.67 1
1.5%
99.74 1
1.5%
100.02 1
1.5%
100.12 1
1.5%
100.22 1
1.5%
100.24 1
1.5%
100.37 1
1.5%
100.64 1
1.5%
100.76 1
1.5%
100.95 1
1.5%
ValueCountFrequency (%)
108.88 1
1.5%
108.22 1
1.5%
106.31 1
1.5%
105.52 1
1.5%
105.1 1
1.5%
105.06 1
1.5%
104.53 1
1.5%
104.48 1
1.5%
104.41 1
1.5%
104.01 1
1.5%

2022-09
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.61125
Minimum99.33
Maximum109.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:41.359098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.33
5-th percentile100.1215
Q1101.625
median102.445
Q3103.21
95-th percentile105.5445
Maximum109.04
Range9.71
Interquartile range (IQR)1.585

Descriptive statistics

Standard deviation1.8375359
Coefficient of variation (CV)0.017907743
Kurtosis2.5407515
Mean102.61125
Median Absolute Deviation (MAD)0.82
Skewness1.1408098
Sum6567.12
Variance3.3765381
MonotonicityNot monotonic
2024-04-22T00:47:41.808653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.13 2
 
3.0%
102.65 2
 
3.0%
102.77 2
 
3.0%
104.1 1
 
1.5%
104.36 1
 
1.5%
100.01 1
 
1.5%
100.12 1
 
1.5%
101.07 1
 
1.5%
102.61 1
 
1.5%
102.74 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.33 1
1.5%
99.65 1
1.5%
100.01 1
1.5%
100.12 1
1.5%
100.13 1
1.5%
100.19 1
1.5%
100.34 1
1.5%
100.44 1
1.5%
100.73 1
1.5%
100.97 1
1.5%
ValueCountFrequency (%)
109.04 1
1.5%
108.43 1
1.5%
106.28 1
1.5%
105.6 1
1.5%
105.23 1
1.5%
105.08 1
1.5%
104.65 1
1.5%
104.52 1
1.5%
104.47 1
1.5%
104.36 1
1.5%

2022-10
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.68266
Minimum99.24
Maximum108.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:42.225210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.24
5-th percentile100.09
Q1101.6625
median102.535
Q3103.36
95-th percentile105.615
Maximum108.92
Range9.68
Interquartile range (IQR)1.6975

Descriptive statistics

Standard deviation1.8591799
Coefficient of variation (CV)0.018106075
Kurtosis2.2497028
Mean102.68266
Median Absolute Deviation (MAD)0.855
Skewness1.0309684
Sum6571.69
Variance3.45655
MonotonicityNot monotonic
2024-04-22T00:47:42.658599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.24 2
 
3.0%
100.09 2
 
3.0%
99.63 1
 
1.5%
102.0 1
 
1.5%
100.07 1
 
1.5%
100.14 1
 
1.5%
101.13 1
 
1.5%
102.81 1
 
1.5%
102.87 1
 
1.5%
102.14 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.24 1
1.5%
99.63 1
1.5%
100.07 1
1.5%
100.09 2
3.0%
100.14 1
1.5%
100.29 1
1.5%
100.39 1
1.5%
100.73 1
1.5%
100.96 1
1.5%
101.04 1
1.5%
ValueCountFrequency (%)
108.92 1
1.5%
108.61 1
1.5%
106.38 1
1.5%
105.66 1
1.5%
105.36 1
1.5%
105.17 1
1.5%
104.76 1
1.5%
104.66 1
1.5%
104.54 1
1.5%
104.44 1
1.5%

2022-11
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.66391
Minimum99.1
Maximum108.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:43.081356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.1
5-th percentile100.0395
Q1101.675
median102.52
Q3103.3375
95-th percentile105.655
Maximum108.67
Range9.57
Interquartile range (IQR)1.6625

Descriptive statistics

Standard deviation1.8486483
Coefficient of variation (CV)0.018006798
Kurtosis1.9737327
Mean102.66391
Median Absolute Deviation (MAD)0.845
Skewness0.94342984
Sum6570.49
Variance3.4175004
MonotonicityNot monotonic
2024-04-22T00:47:43.511660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.92 2
 
3.0%
102.75 2
 
3.0%
102.0 1
 
1.5%
100.15 1
 
1.5%
100.22 1
 
1.5%
101.08 1
 
1.5%
102.76 1
 
1.5%
102.94 1
 
1.5%
101.23 1
 
1.5%
102.5 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.1 1
1.5%
99.58 1
1.5%
99.96 1
1.5%
100.02 1
1.5%
100.15 1
1.5%
100.2 1
1.5%
100.22 1
1.5%
100.43 1
1.5%
100.73 1
1.5%
100.92 1
1.5%
ValueCountFrequency (%)
108.67 1
1.5%
108.52 1
1.5%
106.14 1
1.5%
105.7 1
1.5%
105.4 1
1.5%
105.22 1
1.5%
104.79 1
1.5%
104.71 1
1.5%
104.55 1
1.5%
104.37 1
1.5%

2022-12
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.59297
Minimum98.83
Maximum108.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:43.920375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.83
5-th percentile99.853
Q1101.6425
median102.47
Q3103.2425
95-th percentile105.6155
Maximum108.46
Range9.63
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.838682
Coefficient of variation (CV)0.017922105
Kurtosis1.5413992
Mean102.59297
Median Absolute Deviation (MAD)0.81
Skewness0.78112542
Sum6565.95
Variance3.3807514
MonotonicityNot monotonic
2024-04-22T00:47:44.348273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.15 2
 
3.0%
102.23 2
 
3.0%
101.16 2
 
3.0%
102.44 2
 
3.0%
100.04 2
 
3.0%
102.95 1
 
1.5%
102.83 1
 
1.5%
101.96 1
 
1.5%
101.06 1
 
1.5%
103.28 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.83 1
1.5%
99.51 1
1.5%
99.77 1
1.5%
99.82 1
1.5%
100.04 2
3.0%
100.18 1
1.5%
100.4 1
1.5%
100.59 1
1.5%
100.74 1
1.5%
101.01 1
1.5%
ValueCountFrequency (%)
108.46 1
1.5%
107.99 1
1.5%
106.14 1
1.5%
105.68 1
1.5%
105.25 1
1.5%
105.23 1
1.5%
104.7 1
1.5%
104.66 1
1.5%
104.51 1
1.5%
104.36 1
1.5%

2023-01
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.49813
Minimum98.76
Maximum108.06
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:44.762447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.76
5-th percentile99.76
Q1101.5575
median102.485
Q3103.1625
95-th percentile105.3515
Maximum108.06
Range9.3
Interquartile range (IQR)1.605

Descriptive statistics

Standard deviation1.832333
Coefficient of variation (CV)0.017876746
Kurtosis1.1542994
Mean102.49813
Median Absolute Deviation (MAD)0.82
Skewness0.63763863
Sum6559.88
Variance3.357444
MonotonicityNot monotonic
2024-04-22T00:47:45.199835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.62 2
 
3.0%
102.73 2
 
3.0%
103.09 2
 
3.0%
102.95 2
 
3.0%
103.11 1
 
1.5%
105.06 1
 
1.5%
99.97 1
 
1.5%
100.93 1
 
1.5%
101.26 1
 
1.5%
100.41 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.76 1
1.5%
99.4 1
1.5%
99.7 1
1.5%
99.73 1
1.5%
99.93 1
1.5%
99.97 1
1.5%
100.08 1
1.5%
100.18 1
1.5%
100.21 1
1.5%
100.41 1
1.5%
ValueCountFrequency (%)
108.06 1
1.5%
107.76 1
1.5%
106.12 1
1.5%
105.38 1
1.5%
105.19 1
1.5%
105.06 1
1.5%
104.67 1
1.5%
104.46 1
1.5%
104.35 1
1.5%
104.33 1
1.5%

2023-02
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.44047
Minimum98.65
Maximum108.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:45.613070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.65
5-th percentile99.6175
Q1101.5275
median102.5
Q3103.1075
95-th percentile105.265
Maximum108.15
Range9.5
Interquartile range (IQR)1.58

Descriptive statistics

Standard deviation1.8754271
Coefficient of variation (CV)0.018307482
Kurtosis1.135927
Mean102.44047
Median Absolute Deviation (MAD)0.84
Skewness0.56516717
Sum6556.19
Variance3.5172268
MonotonicityNot monotonic
2024-04-22T00:47:46.246259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.54 2
 
3.0%
103.07 2
 
3.0%
101.92 2
 
3.0%
101.96 2
 
3.0%
103.13 1
 
1.5%
105.09 1
 
1.5%
99.89 1
 
1.5%
100.91 1
 
1.5%
102.86 1
 
1.5%
102.49 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.65 1
1.5%
99.09 1
1.5%
99.33 1
1.5%
99.61 1
1.5%
99.66 1
1.5%
99.83 1
1.5%
99.89 1
1.5%
100.01 1
1.5%
100.09 1
1.5%
100.21 1
1.5%
ValueCountFrequency (%)
108.15 1
1.5%
107.75 1
1.5%
105.97 1
1.5%
105.28 1
1.5%
105.18 1
1.5%
105.09 1
1.5%
104.76 1
1.5%
104.47 1
1.5%
104.28 1
1.5%
104.27 1
1.5%

2023-03
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.34047
Minimum98.44
Maximum107.91
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:46.659760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.44
5-th percentile99.3655
Q1101.4375
median102.355
Q3103.085
95-th percentile105.1295
Maximum107.91
Range9.47
Interquartile range (IQR)1.6475

Descriptive statistics

Standard deviation1.8837656
Coefficient of variation (CV)0.018406849
Kurtosis1.0515295
Mean102.34047
Median Absolute Deviation (MAD)0.865
Skewness0.44812327
Sum6549.79
Variance3.5485728
MonotonicityNot monotonic
2024-04-22T00:47:47.104575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.03 2
 
3.0%
101.53 2
 
3.0%
99.18 1
 
1.5%
99.71 1
 
1.5%
99.83 1
 
1.5%
100.81 1
 
1.5%
102.77 1
 
1.5%
102.29 1
 
1.5%
101.13 1
 
1.5%
99.79 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.44 1
1.5%
98.64 1
1.5%
99.18 1
1.5%
99.34 1
1.5%
99.51 1
1.5%
99.71 1
1.5%
99.79 1
1.5%
99.83 1
1.5%
99.96 1
1.5%
100.19 1
1.5%
ValueCountFrequency (%)
107.91 1
1.5%
107.63 1
1.5%
105.96 1
1.5%
105.17 1
1.5%
104.9 1
1.5%
104.84 1
1.5%
104.75 1
1.5%
104.3 1
1.5%
104.04 1
1.5%
104.03 2
3.0%

2023-04
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.27141
Minimum98.22
Maximum107.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:47.528858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.22
5-th percentile99.1035
Q1101.3025
median102.25
Q3103.0375
95-th percentile105.079
Maximum107.69
Range9.47
Interquartile range (IQR)1.735

Descriptive statistics

Standard deviation1.8906771
Coefficient of variation (CV)0.018486859
Kurtosis0.840542
Mean102.27141
Median Absolute Deviation (MAD)0.905
Skewness0.30724383
Sum6545.37
Variance3.5746599
MonotonicityNot monotonic
2024-04-22T00:47:47.969017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.55 2
 
3.0%
103.89 2
 
3.0%
99.54 1
 
1.5%
99.06 1
 
1.5%
105.77 1
 
1.5%
102.08 1
 
1.5%
102.83 1
 
1.5%
101.37 1
 
1.5%
101.01 1
 
1.5%
101.25 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.22 1
1.5%
98.47 1
1.5%
98.99 1
1.5%
99.06 1
1.5%
99.35 1
1.5%
99.54 1
1.5%
99.61 1
1.5%
99.74 1
1.5%
99.84 1
1.5%
100.3 1
1.5%
ValueCountFrequency (%)
107.69 1
1.5%
107.35 1
1.5%
105.77 1
1.5%
105.1 1
1.5%
104.96 1
1.5%
104.77 1
1.5%
104.59 1
1.5%
104.21 1
1.5%
104.18 1
1.5%
104.01 1
1.5%

2023-05
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.22578
Minimum98.14
Maximum107.58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:48.389854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.14
5-th percentile98.912
Q1101.2925
median102.29
Q3103.0675
95-th percentile105.183
Maximum107.58
Range9.44
Interquartile range (IQR)1.775

Descriptive statistics

Standard deviation1.9170768
Coefficient of variation (CV)0.018753359
Kurtosis0.71651713
Mean102.22578
Median Absolute Deviation (MAD)0.94
Skewness0.21866959
Sum6542.45
Variance3.6751835
MonotonicityNot monotonic
2024-04-22T00:47:48.837401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.18 2
 
3.0%
100.92 1
 
1.5%
99.55 1
 
1.5%
99.61 1
 
1.5%
100.71 1
 
1.5%
102.26 1
 
1.5%
102.39 1
 
1.5%
100.77 1
 
1.5%
99.4 1
 
1.5%
101.42 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.14 1
1.5%
98.26 1
1.5%
98.84 1
1.5%
98.87 1
1.5%
99.15 1
1.5%
99.4 1
1.5%
99.55 1
1.5%
99.61 1
1.5%
99.8 1
1.5%
100.19 1
1.5%
ValueCountFrequency (%)
107.58 1
1.5%
107.3 1
1.5%
105.58 1
1.5%
105.21 1
1.5%
105.03 1
1.5%
104.52 1
1.5%
104.49 1
1.5%
104.29 1
1.5%
104.0 1
1.5%
103.97 1
1.5%

2023-06
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.18641
Minimum97.89
Maximum107.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size722.0 B
2024-04-22T00:47:49.267116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.89
5-th percentile98.7755
Q1101.3325
median102.25
Q3103.1025
95-th percentile105.2425
Maximum107.71
Range9.82
Interquartile range (IQR)1.77

Descriptive statistics

Standard deviation1.9598974
Coefficient of variation (CV)0.01917963
Kurtosis0.70394298
Mean102.18641
Median Absolute Deviation (MAD)0.925
Skewness0.19594932
Sum6539.93
Variance3.841198
MonotonicityNot monotonic
2024-04-22T00:47:49.716912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.23 2
 
3.0%
100.65 1
 
1.5%
99.54 1
 
1.5%
99.41 1
 
1.5%
100.54 1
 
1.5%
101.83 1
 
1.5%
102.33 1
 
1.5%
100.52 1
 
1.5%
99.14 1
 
1.5%
101.63 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.89 1
1.5%
98.34 1
1.5%
98.7 1
1.5%
98.75 1
1.5%
98.92 1
1.5%
99.14 1
1.5%
99.41 1
1.5%
99.54 1
1.5%
99.8 1
1.5%
100.06 1
1.5%
ValueCountFrequency (%)
107.71 1
1.5%
107.28 1
1.5%
105.48 1
1.5%
105.25 1
1.5%
105.2 1
1.5%
104.49 1
1.5%
104.42 1
1.5%
104.28 1
1.5%
104.04 1
1.5%
103.92 1
1.5%

Sample

지역_규모2020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0전국_40㎡이하99.97100.0100.05100.13100.19100.26100.35100.4100.47100.5100.53100.58100.66100.8100.96101.06101.21101.32101.41101.48101.56101.67101.82101.98102.16102.34102.49102.65102.65102.61102.55102.54102.48102.48102.52102.61
1전국_40㎡초과 60㎡이하99.9999.99100.07100.12100.27100.34100.48100.65100.72100.78100.88101.0101.05101.25101.46101.53101.86101.95102.02102.0102.02102.1102.26102.4102.56102.67102.77102.83102.81102.67102.59102.55102.49102.47102.44102.36
2전국_60㎡초과 85㎡이하99.97100.07100.19100.26100.4100.57100.57100.88100.97101.19101.28101.5101.72102.29102.89103.13103.48103.63103.85103.86103.91104.03104.12104.2104.37104.53104.65104.76104.79104.66104.46104.47104.3104.18103.97103.92
3전국_85㎡초과100.01100.09100.1100.19100.3100.5100.56100.71100.77100.88100.94101.06101.25101.54101.99102.17102.66102.8102.87102.93103.14103.33103.47103.54103.75103.93104.04104.13104.13104.12103.98103.88103.67103.52103.38103.26
4수도권_40㎡이하99.99100.04100.11100.2100.28100.38100.48100.52100.59100.62100.65100.71100.82100.97101.16101.27101.44101.56101.64101.74101.86102.0102.2102.39102.61102.82103.01103.19103.19103.15103.12103.13103.1103.12103.18103.29
5수도권_40㎡초과 60㎡이하99.9999.98100.09100.15100.32100.39100.55100.75100.81100.89101.0101.14101.17101.41101.65101.73102.14102.25102.32102.29102.33102.43102.63102.82103.02103.14103.27103.35103.32103.19103.11103.07103.01103.01102.99102.93
6수도권_60㎡초과 85㎡이하99.98100.12100.26100.33100.45100.63100.63101.0101.08101.3101.39101.6101.84102.52103.24103.5103.9104.03104.28104.29104.35104.5104.62104.72104.91105.1105.23105.36105.4105.25105.06105.09104.9104.77104.52104.49
7수도권_85㎡초과100.01100.12100.13100.23100.33100.54100.59100.77100.82100.95101.02101.16101.28101.62102.17102.39102.99103.16103.24103.3103.53103.77103.95104.04104.2104.41104.47104.54104.55104.51104.35104.27104.03103.89103.8103.75
8지방_40㎡이하99.9199.8399.899.8399.8199.7699.8499.9199.95100.0100.03100.02100.02100.12100.15100.21100.24100.36100.43100.41100.3100.28100.26100.24100.33100.37100.34100.39100.43100.4100.21100.0999.9699.8499.899.8
9지방_40㎡초과 60㎡이하100.01100.01100.01100.03100.08100.11100.16100.22100.33100.34100.37100.44100.55100.59100.65100.69100.73100.75100.83100.81100.76100.77100.75100.72100.73100.76100.73100.73100.73100.59100.47100.42100.36100.3100.19100.06
지역_규모2020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
56울산_40㎡이하100.099.91100.07100.22100.1299.9499.77100.05100.3100.43100.32100.35100.35100.5100.56100.56100.59100.75100.75100.78100.81100.8100.8100.8100.94101.08101.08101.18101.18101.16101.1101.0100.99100.88100.82100.85
57울산_40㎡초과 60㎡이하100.0100.05100.11100.36100.79100.56100.81101.3101.49101.72102.26102.68103.17103.2103.25103.3103.45103.45103.68103.75103.76103.83103.82103.82103.92103.96103.99104.03104.11104.17104.06104.08104.03104.01104.0104.04
58울산_60㎡초과 85㎡이하99.6199.4999.2299.82100.57100.83101.09101.18101.88102.28102.56102.86103.42104.06104.3104.45104.46104.59104.65104.93104.96104.96104.96104.92105.01105.06105.08105.17105.22105.23105.19105.18105.17105.1105.21105.2
59울산_85㎡초과100.0100.01100.08100.31100.15100.68101.25101.46101.87102.04102.2102.48103.25103.41103.84103.87103.93104.05104.18104.47104.47104.47104.43104.36104.41104.48104.52104.44104.37104.36104.33104.28104.04104.21104.29104.28
60세종_40㎡이하100.45100.49100.51100.52100.53100.54100.54100.76100.77100.77100.77100.77100.78100.78100.8100.9100.91101.01101.01101.01101.0101.01101.01101.06101.06101.06101.06101.04101.02101.01101.0101.03100.95101.07101.15101.31
61세종_40㎡초과 60㎡이하<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
62경기_40㎡이하99.97100.04100.16100.33100.47100.62100.73100.74100.81100.84100.88100.87101.0101.17101.54101.71102.09102.29102.38102.6102.72102.92103.16103.39103.66104.01104.36104.66104.71104.7104.67104.76104.75104.96105.03105.25
63경기_40㎡초과 60㎡이하100.03100.03100.22100.33100.62100.73100.98101.18101.27101.36101.5101.66101.68101.8102.03102.08102.63102.76102.84102.83102.85103.0103.26103.48103.76103.88104.1104.19104.14104.14104.03103.95103.86103.89103.93103.84
64경기_60㎡초과 85㎡이하100.01100.27100.59100.77101.04101.48101.71102.28102.48102.84103.04103.42103.75104.72105.66106.13106.79106.88107.1107.09107.19107.3107.5107.65107.94108.22108.43108.61108.67108.46108.06108.15107.91107.69107.3107.28
65경기_85㎡초과99.99100.19100.23100.44100.54100.59100.66101.0101.02101.21101.24101.5101.62102.08103.01103.31104.04104.16104.2104.27104.54104.8104.94104.98105.17105.52105.6105.66105.7105.68105.38105.28104.84104.59104.49104.42