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 memory334.0 B

Variable types

Text1
Numeric36

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 오피스텔 가격동향조사 중 규모별 전세가격지수 데이터입니다. - (기준월 : 2020.6 = 100) - 단위 : 지수 - 공표시기 : 조사 다음달 15일(휴일인 경우 그 다음날)
URLhttps://www.data.go.kr/data/15048317/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 started2023-12-12 20:49:23.304353
Analysis finished2023-12-12 20:49:23.662360
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역_규모
Text

UNIQUE 

Distinct66
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size660.0 B
2023-12-13T05:49:23.815334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length12.272727
Min length8

Characters and Unicode

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

Unique

Unique66 ?
Unique (%)100.0%

Sample

1st row전국_40㎡이하
2nd row전국_40㎡초과 60㎡이하
3rd row전국_60㎡초과 85㎡이하
4th row전국_85㎡초과
5th row수도권_40㎡이하
ValueCountFrequency (%)
서울 20
 
16.8%
60㎡이하 17
 
14.3%
85㎡이하 16
 
13.4%
대구_40㎡이하 1
 
0.8%
인천_60㎡초과 1
 
0.8%
인천_40㎡초과 1
 
0.8%
인천_40㎡이하 1
 
0.8%
대구_85㎡초과 1
 
0.8%
대구_60㎡초과 1
 
0.8%
대구_40㎡초과 1
 
0.8%
Other values (59) 59
49.6%
2023-12-13T05:49:24.245965image/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 

Distinct26
Distinct (%)40.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.02906
Minimum99.61
Maximum100.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:24.361738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.61
5-th percentile99.8915
Q1100
median100.02
Q3100.06
95-th percentile100.1585
Maximum100.86
Range1.25
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.13994011
Coefficient of variation (CV)0.0013989945
Kurtosis20.748086
Mean100.02906
Median Absolute Deviation (MAD)0.02
Skewness2.775679
Sum6401.86
Variance0.019583234
MonotonicityNot monotonic
2023-12-13T05:49:24.485242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
100.0 12
18.2%
100.02 10
15.2%
100.03 6
 
9.1%
100.06 6
 
9.1%
100.01 5
 
7.6%
100.09 3
 
4.5%
100.04 2
 
3.0%
99.98 2
 
3.0%
99.91 1
 
1.5%
100.23 1
 
1.5%
Other values (16) 16
24.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.61 1
 
1.5%
99.71 1
 
1.5%
99.79 1
 
1.5%
99.89 1
 
1.5%
99.9 1
 
1.5%
99.91 1
 
1.5%
99.96 1
 
1.5%
99.97 1
 
1.5%
99.98 2
 
3.0%
100.0 12
18.2%
ValueCountFrequency (%)
100.86 1
 
1.5%
100.23 1
 
1.5%
100.17 1
 
1.5%
100.16 1
 
1.5%
100.15 1
 
1.5%
100.14 1
 
1.5%
100.11 1
 
1.5%
100.09 3
4.5%
100.08 1
 
1.5%
100.07 1
 
1.5%

2020-08
Real number (ℝ)

MISSING 

Distinct44
Distinct (%)68.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.13234
Minimum99.57
Maximum101.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:24.611236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.57
5-th percentile99.7545
Q1100.015
median100.12
Q3100.2225
95-th percentile100.4655
Maximum101.13
Range1.56
Interquartile range (IQR)0.2075

Descriptive statistics

Standard deviation0.239336
Coefficient of variation (CV)0.0023901967
Kurtosis4.8618992
Mean100.13234
Median Absolute Deviation (MAD)0.105
Skewness1.2047029
Sum6408.47
Variance0.057281721
MonotonicityNot monotonic
2023-12-13T05:49:24.744920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
100.0 4
 
6.1%
100.11 3
 
4.5%
100.06 3
 
4.5%
100.2 3
 
4.5%
100.21 3
 
4.5%
100.07 3
 
4.5%
100.17 2
 
3.0%
100.28 2
 
3.0%
100.24 2
 
3.0%
100.32 2
 
3.0%
Other values (34) 37
56.1%
ValueCountFrequency (%)
99.57 1
1.5%
99.71 1
1.5%
99.73 1
1.5%
99.75 1
1.5%
99.78 1
1.5%
99.84 1
1.5%
99.85 1
1.5%
99.91 1
1.5%
99.94 2
3.0%
99.95 1
1.5%
ValueCountFrequency (%)
101.13 1
1.5%
100.83 1
1.5%
100.54 1
1.5%
100.47 1
1.5%
100.44 1
1.5%
100.41 1
1.5%
100.32 2
3.0%
100.29 1
1.5%
100.28 2
3.0%
100.27 1
1.5%

2020-09
Real number (ℝ)

MISSING 

Distinct48
Distinct (%)75.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.25594
Minimum99.57
Maximum101.26
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:24.880745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.57
5-th percentile99.8
Q1100.0225
median100.24
Q3100.415
95-th percentile100.922
Maximum101.26
Range1.69
Interquartile range (IQR)0.3925

Descriptive statistics

Standard deviation0.33243077
Coefficient of variation (CV)0.0033158213
Kurtosis1.0429577
Mean100.25594
Median Absolute Deviation (MAD)0.2
Skewness0.66753765
Sum6416.38
Variance0.11051022
MonotonicityNot monotonic
2023-12-13T05:49:25.016060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
100.31 3
 
4.5%
100.12 3
 
4.5%
100.37 3
 
4.5%
100.23 2
 
3.0%
100.34 2
 
3.0%
99.8 2
 
3.0%
99.95 2
 
3.0%
100.18 2
 
3.0%
99.85 2
 
3.0%
100.38 2
 
3.0%
Other values (38) 41
62.1%
ValueCountFrequency (%)
99.57 1
1.5%
99.63 1
1.5%
99.78 1
1.5%
99.8 2
3.0%
99.85 2
3.0%
99.9 2
3.0%
99.92 1
1.5%
99.93 1
1.5%
99.95 2
3.0%
99.97 1
1.5%
ValueCountFrequency (%)
101.26 1
1.5%
101.13 1
1.5%
100.98 1
1.5%
100.94 1
1.5%
100.82 1
1.5%
100.64 1
1.5%
100.6 1
1.5%
100.58 1
1.5%
100.54 1
1.5%
100.53 1
1.5%

2020-10
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)79.7%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.43016
Minimum99.53
Maximum101.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:25.167329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.53
5-th percentile99.8505
Q1100.165
median100.41
Q3100.67
95-th percentile101.121
Maximum101.49
Range1.96
Interquartile range (IQR)0.505

Descriptive statistics

Standard deviation0.4254092
Coefficient of variation (CV)0.0042358712
Kurtosis0.23584212
Mean100.43016
Median Absolute Deviation (MAD)0.26
Skewness0.49792677
Sum6427.53
Variance0.18097299
MonotonicityNot monotonic
2023-12-13T05:49:25.345564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.67 3
 
4.5%
101.49 3
 
4.5%
99.95 3
 
4.5%
100.21 2
 
3.0%
100.98 2
 
3.0%
100.0 2
 
3.0%
100.18 2
 
3.0%
100.47 2
 
3.0%
100.19 2
 
3.0%
100.17 2
 
3.0%
Other values (41) 41
62.1%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.53 1
 
1.5%
99.69 1
 
1.5%
99.78 1
 
1.5%
99.84 1
 
1.5%
99.91 1
 
1.5%
99.92 1
 
1.5%
99.95 3
4.5%
99.99 1
 
1.5%
100.0 2
3.0%
100.07 1
 
1.5%
ValueCountFrequency (%)
101.49 3
4.5%
101.13 1
 
1.5%
101.07 1
 
1.5%
100.98 2
3.0%
100.97 1
 
1.5%
100.88 1
 
1.5%
100.84 1
 
1.5%
100.82 1
 
1.5%
100.77 1
 
1.5%
100.76 1
 
1.5%

2020-11
Real number (ℝ)

MISSING 

Distinct53
Distinct (%)82.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.73219
Minimum99.61
Maximum102.41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:25.503006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.61
5-th percentile99.789
Q1100.31
median100.695
Q3101.1075
95-th percentile101.6585
Maximum102.41
Range2.8
Interquartile range (IQR)0.7975

Descriptive statistics

Standard deviation0.59670383
Coefficient of variation (CV)0.0059236659
Kurtosis0.24766215
Mean100.73219
Median Absolute Deviation (MAD)0.41
Skewness0.41883454
Sum6446.86
Variance0.35605546
MonotonicityNot monotonic
2023-12-13T05:49:25.643260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.84 2
 
3.0%
100.69 2
 
3.0%
101.02 2
 
3.0%
100.84 2
 
3.0%
100.78 2
 
3.0%
100.22 2
 
3.0%
100.56 2
 
3.0%
99.78 2
 
3.0%
100.79 2
 
3.0%
101.1 2
 
3.0%
Other values (43) 44
66.7%
ValueCountFrequency (%)
99.61 1
1.5%
99.69 1
1.5%
99.78 2
3.0%
99.84 2
3.0%
99.91 1
1.5%
100.02 1
1.5%
100.08 1
1.5%
100.13 1
1.5%
100.21 1
1.5%
100.22 2
3.0%
ValueCountFrequency (%)
102.41 1
1.5%
102.13 1
1.5%
102.04 1
1.5%
101.66 1
1.5%
101.65 1
1.5%
101.55 1
1.5%
101.4 1
1.5%
101.39 1
1.5%
101.32 1
1.5%
101.28 1
1.5%

2020-12
Real number (ℝ)

MISSING 

Distinct54
Distinct (%)84.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.98438
Minimum99.67
Maximum103.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:25.795311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.67
5-th percentile99.79
Q1100.4
median100.915
Q3101.4175
95-th percentile102.445
Maximum103.02
Range3.35
Interquartile range (IQR)1.0175

Descriptive statistics

Standard deviation0.76077211
Coefficient of variation (CV)0.0075335626
Kurtosis0.27652977
Mean100.98438
Median Absolute Deviation (MAD)0.515
Skewness0.45975345
Sum6463
Variance0.57877421
MonotonicityNot monotonic
2023-12-13T05:49:25.949594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.71 2
 
3.0%
100.4 2
 
3.0%
101.25 2
 
3.0%
100.38 2
 
3.0%
99.79 2
 
3.0%
101.4 2
 
3.0%
100.25 2
 
3.0%
100.86 2
 
3.0%
101.51 2
 
3.0%
101.81 2
 
3.0%
Other values (44) 44
66.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.67 1
1.5%
99.69 1
1.5%
99.73 1
1.5%
99.79 2
3.0%
99.88 1
1.5%
99.97 1
1.5%
100.02 1
1.5%
100.12 1
1.5%
100.25 2
3.0%
100.34 1
1.5%
ValueCountFrequency (%)
103.02 1
1.5%
102.96 1
1.5%
102.51 1
1.5%
102.49 1
1.5%
102.19 1
1.5%
101.81 2
3.0%
101.76 1
1.5%
101.74 1
1.5%
101.68 1
1.5%
101.67 1
1.5%

2021-01
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.20594
Minimum98.99
Maximum103.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:26.098426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.99
5-th percentile99.8845
Q1100.61
median101.145
Q3101.8625
95-th percentile102.964
Maximum103.81
Range4.82
Interquartile range (IQR)1.2525

Descriptive statistics

Standard deviation0.90841169
Coefficient of variation (CV)0.0089758735
Kurtosis0.76975301
Mean101.20594
Median Absolute Deviation (MAD)0.635
Skewness0.47198144
Sum6477.18
Variance0.82521181
MonotonicityNot monotonic
2023-12-13T05:49:26.294748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.92 2
 
3.0%
101.49 2
 
3.0%
101.28 2
 
3.0%
100.9 2
 
3.0%
102.02 1
 
1.5%
100.23 1
 
1.5%
100.33 1
 
1.5%
100.55 1
 
1.5%
101.98 1
 
1.5%
102.26 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.99 1
1.5%
99.67 1
1.5%
99.83 1
1.5%
99.85 1
1.5%
100.08 1
1.5%
100.1 1
1.5%
100.15 1
1.5%
100.23 1
1.5%
100.25 1
1.5%
100.31 1
1.5%
ValueCountFrequency (%)
103.81 1
1.5%
103.5 1
1.5%
103.11 1
1.5%
103.03 1
1.5%
102.59 1
1.5%
102.26 1
1.5%
102.1 1
1.5%
102.02 1
1.5%
102.0 1
1.5%
101.98 1
1.5%

2021-02
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.42266
Minimum99.08
Maximum103.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:26.492516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.08
5-th percentile99.9045
Q1100.7025
median101.36
Q3102.0875
95-th percentile103.2745
Maximum103.81
Range4.73
Interquartile range (IQR)1.385

Descriptive statistics

Standard deviation1.0063091
Coefficient of variation (CV)0.0099219355
Kurtosis0.17066433
Mean101.42266
Median Absolute Deviation (MAD)0.685
Skewness0.29866545
Sum6491.05
Variance1.0126579
MonotonicityNot monotonic
2023-12-13T05:49:26.692659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.09 2
 
3.0%
100.67 2
 
3.0%
100.97 2
 
3.0%
102.26 1
 
1.5%
101.38 1
 
1.5%
101.88 1
 
1.5%
99.87 1
 
1.5%
100.24 1
 
1.5%
100.71 1
 
1.5%
102.28 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.08 1
1.5%
99.47 1
1.5%
99.85 1
1.5%
99.87 1
1.5%
100.1 1
1.5%
100.21 1
1.5%
100.24 1
1.5%
100.33 1
1.5%
100.34 1
1.5%
100.36 1
1.5%
ValueCountFrequency (%)
103.81 1
1.5%
103.78 1
1.5%
103.72 1
1.5%
103.3 1
1.5%
103.13 1
1.5%
102.82 1
1.5%
102.49 1
1.5%
102.42 1
1.5%
102.41 1
1.5%
102.38 1
1.5%

2021-03
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.60109
Minimum99.05
Maximum104.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:26.839423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.05
5-th percentile99.8695
Q1100.745
median101.45
Q3102.41
95-th percentile103.884
Maximum104.78
Range5.73
Interquartile range (IQR)1.665

Descriptive statistics

Standard deviation1.1780588
Coefficient of variation (CV)0.011594942
Kurtosis0.56039777
Mean101.60109
Median Absolute Deviation (MAD)0.74
Skewness0.47559674
Sum6502.47
Variance1.3878226
MonotonicityNot monotonic
2023-12-13T05:49:27.042565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.17 2
 
3.0%
102.67 2
 
3.0%
101.93 2
 
3.0%
101.42 2
 
3.0%
102.61 2
 
3.0%
101.57 2
 
3.0%
102.72 1
 
1.5%
100.23 1
 
1.5%
100.2 1
 
1.5%
100.75 1
 
1.5%
Other values (48) 48
72.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.05 1
1.5%
99.16 1
1.5%
99.76 1
1.5%
99.82 1
1.5%
100.15 1
1.5%
100.2 1
1.5%
100.23 1
1.5%
100.34 1
1.5%
100.47 1
1.5%
100.5 1
1.5%
ValueCountFrequency (%)
104.78 1
1.5%
104.56 1
1.5%
104.23 1
1.5%
103.95 1
1.5%
103.51 1
1.5%
103.01 1
1.5%
102.79 1
1.5%
102.72 1
1.5%
102.69 1
1.5%
102.67 2
3.0%

2021-04
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.79266
Minimum98.94
Maximum105.94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:27.216161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.94
5-th percentile99.953
Q1100.805
median101.65
Q3102.695
95-th percentile104.069
Maximum105.94
Range7
Interquartile range (IQR)1.89

Descriptive statistics

Standard deviation1.360754
Coefficient of variation (CV)0.0133679
Kurtosis1.0796643
Mean101.79266
Median Absolute Deviation (MAD)0.895
Skewness0.64526674
Sum6514.73
Variance1.8516516
MonotonicityNot monotonic
2023-12-13T05:49:27.422206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.3 2
 
3.0%
102.77 2
 
3.0%
100.65 2
 
3.0%
100.62 2
 
3.0%
102.93 2
 
3.0%
101.6 1
 
1.5%
101.35 1
 
1.5%
102.67 1
 
1.5%
103.11 1
 
1.5%
99.09 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.94 1
1.5%
99.09 1
1.5%
99.55 1
1.5%
99.92 1
1.5%
100.14 1
1.5%
100.15 1
1.5%
100.31 1
1.5%
100.34 1
1.5%
100.62 2
3.0%
100.65 2
3.0%
ValueCountFrequency (%)
105.94 1
1.5%
105.54 1
1.5%
104.69 1
1.5%
104.15 1
1.5%
103.61 1
1.5%
103.49 1
1.5%
103.15 1
1.5%
103.11 1
1.5%
103.1 1
1.5%
103.0 1
1.5%

2021-05
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.96266
Minimum98.89
Maximum106.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:27.690292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.89
5-th percentile99.995
Q1100.8875
median101.815
Q3102.8525
95-th percentile104.264
Maximum106.69
Range7.8
Interquartile range (IQR)1.965

Descriptive statistics

Standard deviation1.4872711
Coefficient of variation (CV)0.01458643
Kurtosis1.1715238
Mean101.96266
Median Absolute Deviation (MAD)1
Skewness0.73031544
Sum6525.61
Variance2.2119754
MonotonicityNot monotonic
2023-12-13T05:49:28.569218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.82 1
 
1.5%
101.88 1
 
1.5%
99.98 1
 
1.5%
100.08 1
 
1.5%
100.95 1
 
1.5%
103.51 1
 
1.5%
102.39 1
 
1.5%
102.98 1
 
1.5%
101.62 1
 
1.5%
100.64 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.89 1
1.5%
99.07 1
1.5%
99.78 1
1.5%
99.98 1
1.5%
100.08 1
1.5%
100.26 1
1.5%
100.4 1
1.5%
100.41 1
1.5%
100.64 1
1.5%
100.68 1
1.5%
ValueCountFrequency (%)
106.69 1
1.5%
105.96 1
1.5%
105.14 1
1.5%
104.3 1
1.5%
104.06 1
1.5%
103.9 1
1.5%
103.73 1
1.5%
103.51 1
1.5%
103.49 1
1.5%
103.45 1
1.5%

2021-06
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.23547
Minimum98.72
Maximum109.55
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:28.995750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.72
5-th percentile99.981
Q1101.0575
median102.07
Q3103.0775
95-th percentile104.73
Maximum109.55
Range10.83
Interquartile range (IQR)2.02

Descriptive statistics

Standard deviation1.7946888
Coefficient of variation (CV)0.017554463
Kurtosis3.8626497
Mean102.23547
Median Absolute Deviation (MAD)1.025
Skewness1.3417828
Sum6543.07
Variance3.2209077
MonotonicityNot monotonic
2023-12-13T05:49:29.277878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.92 2
 
3.0%
102.62 2
 
3.0%
104.73 2
 
3.0%
101.73 1
 
1.5%
104.58 1
 
1.5%
105.89 1
 
1.5%
101.4 1
 
1.5%
102.1 1
 
1.5%
99.93 1
 
1.5%
100.27 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.72 1
1.5%
99.02 1
1.5%
99.83 1
1.5%
99.93 1
1.5%
100.27 1
1.5%
100.37 1
1.5%
100.39 1
1.5%
100.42 1
1.5%
100.48 1
1.5%
100.83 1
1.5%
ValueCountFrequency (%)
109.55 1
1.5%
107.09 1
1.5%
105.89 1
1.5%
104.73 2
3.0%
104.58 1
1.5%
104.08 1
1.5%
104.05 1
1.5%
103.96 1
1.5%
103.89 1
1.5%
103.7 1
1.5%

2021-07
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.505
Minimum98.72
Maximum109.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:29.497888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.72
5-th percentile100.0355
Q1101.1525
median102.185
Q3103.3375
95-th percentile105.438
Maximum109.77
Range11.05
Interquartile range (IQR)2.185

Descriptive statistics

Standard deviation1.9879326
Coefficient of variation (CV)0.019393519
Kurtosis2.6711723
Mean102.505
Median Absolute Deviation (MAD)1.12
Skewness1.2577723
Sum6560.32
Variance3.9518762
MonotonicityNot monotonic
2023-12-13T05:49:29.687178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.24 2
 
3.0%
100.76 1
 
1.5%
99.82 1
 
1.5%
100.18 1
 
1.5%
100.95 1
 
1.5%
105.34 1
 
1.5%
102.65 1
 
1.5%
103.52 1
 
1.5%
101.68 1
 
1.5%
101.19 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.72 1
1.5%
99.32 1
1.5%
99.82 1
1.5%
100.01 1
1.5%
100.18 1
1.5%
100.39 1
1.5%
100.62 1
1.5%
100.65 1
1.5%
100.76 1
1.5%
100.92 1
1.5%
ValueCountFrequency (%)
109.77 1
1.5%
108.48 1
1.5%
106.56 1
1.5%
105.45 1
1.5%
105.37 1
1.5%
105.34 1
1.5%
105.1 1
1.5%
104.91 1
1.5%
104.51 1
1.5%
104.41 1
1.5%

2021-08
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.99203
Minimum99.23
Maximum110.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:29.853315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.23
5-th percentile100.154
Q1101.56
median102.645
Q3103.76
95-th percentile107.041
Maximum110.82
Range11.59
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation2.3018938
Coefficient of variation (CV)0.022350212
Kurtosis1.9891575
Mean102.99203
Median Absolute Deviation (MAD)1.11
Skewness1.2512627
Sum6591.49
Variance5.2987149
MonotonicityNot monotonic
2023-12-13T05:49:30.014190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.12 2
 
3.0%
102.89 2
 
3.0%
103.09 2
 
3.0%
102.03 2
 
3.0%
100.99 1
 
1.5%
99.83 1
 
1.5%
100.29 1
 
1.5%
101.12 1
 
1.5%
107.05 1
 
1.5%
103.75 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.23 1
1.5%
99.66 1
1.5%
99.83 1
1.5%
100.13 1
1.5%
100.29 1
1.5%
100.44 1
1.5%
100.73 1
1.5%
100.77 1
1.5%
100.98 1
1.5%
100.99 1
1.5%
ValueCountFrequency (%)
110.82 1
1.5%
109.86 1
1.5%
107.93 1
1.5%
107.05 1
1.5%
106.99 1
1.5%
106.34 1
1.5%
106.05 1
1.5%
105.74 1
1.5%
105.51 1
1.5%
105.49 1
1.5%

2021-09
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.47156
Minimum99.27
Maximum110.88
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:30.185728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.27
5-th percentile100.241
Q1101.8875
median103.125
Q3104.36
95-th percentile108.5105
Maximum110.88
Range11.61
Interquartile range (IQR)2.4725

Descriptive statistics

Standard deviation2.5480925
Coefficient of variation (CV)0.024626017
Kurtosis0.88039988
Mean103.47156
Median Absolute Deviation (MAD)1.25
Skewness1.0372533
Sum6622.18
Variance6.4927753
MonotonicityNot monotonic
2023-12-13T05:49:30.364864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.41 2
 
3.0%
103.23 2
 
3.0%
103.25 2
 
3.0%
99.27 1
 
1.5%
100.36 1
 
1.5%
101.27 1
 
1.5%
107.89 1
 
1.5%
103.13 1
 
1.5%
103.9 1
 
1.5%
102.19 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.27 1
1.5%
99.78 1
1.5%
100.21 1
1.5%
100.22 1
1.5%
100.36 1
1.5%
100.47 1
1.5%
100.74 1
1.5%
100.92 1
1.5%
100.98 1
1.5%
101.06 1
1.5%
ValueCountFrequency (%)
110.88 1
1.5%
110.61 1
1.5%
108.92 1
1.5%
108.62 1
1.5%
107.89 1
1.5%
107.52 1
1.5%
107.29 1
1.5%
107.13 1
1.5%
106.57 1
1.5%
106.42 1
1.5%

2021-10
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.87031
Minimum99.42
Maximum111.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:30.505679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.42
5-th percentile100.441
Q1102.165
median103.43
Q3104.89
95-th percentile109.5185
Maximum111.33
Range11.91
Interquartile range (IQR)2.725

Descriptive statistics

Standard deviation2.7344132
Coefficient of variation (CV)0.026325262
Kurtosis0.51102637
Mean103.87031
Median Absolute Deviation (MAD)1.44
Skewness0.93853934
Sum6647.7
Variance7.4770158
MonotonicityNot monotonic
2023-12-13T05:49:30.697621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.25 2
 
3.0%
102.66 2
 
3.0%
103.43 2
 
3.0%
103.35 2
 
3.0%
101.89 2
 
3.0%
99.42 1
 
1.5%
100.42 1
 
1.5%
101.37 1
 
1.5%
108.32 1
 
1.5%
103.32 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.42 1
1.5%
99.87 1
1.5%
100.24 1
1.5%
100.42 1
1.5%
100.56 1
1.5%
100.74 1
1.5%
100.9 1
1.5%
101.01 1
1.5%
101.11 1
1.5%
101.16 1
1.5%
ValueCountFrequency (%)
111.33 1
1.5%
111.17 1
1.5%
109.81 1
1.5%
109.73 1
1.5%
108.32 1
1.5%
108.3 1
1.5%
108.01 1
1.5%
107.56 1
1.5%
107.24 1
1.5%
107.18 1
1.5%

2021-11
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.35844
Minimum99.66
Maximum112.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:30.870702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.66
5-th percentile100.562
Q1102.3625
median103.74
Q3105.47
95-th percentile110.5715
Maximum112.44
Range12.78
Interquartile range (IQR)3.1075

Descriptive statistics

Standard deviation3.0587975
Coefficient of variation (CV)0.029310495
Kurtosis0.37000297
Mean104.35844
Median Absolute Deviation (MAD)1.485
Skewness0.93974621
Sum6678.94
Variance9.356242
MonotonicityNot monotonic
2023-12-13T05:49:31.017161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.02 2
 
3.0%
108.34 2
 
3.0%
104.48 2
 
3.0%
106.84 1
 
1.5%
99.66 1
 
1.5%
101.27 1
 
1.5%
112.44 1
 
1.5%
106.52 1
 
1.5%
102.29 1
 
1.5%
102.34 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.66 1
1.5%
99.91 1
1.5%
100.37 1
1.5%
100.55 1
1.5%
100.63 1
1.5%
100.89 1
1.5%
101.03 1
1.5%
101.12 1
1.5%
101.15 1
1.5%
101.27 1
1.5%
ValueCountFrequency (%)
112.44 1
1.5%
112.03 1
1.5%
111.67 1
1.5%
110.75 1
1.5%
109.56 1
1.5%
109.25 1
1.5%
109.21 1
1.5%
108.34 2
3.0%
108.33 1
1.5%
108.03 1
1.5%

2021-12
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.64891
Minimum99.82
Maximum112.71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:31.154199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.82
5-th percentile100.6435
Q1102.5925
median103.975
Q3106.13
95-th percentile110.7285
Maximum112.71
Range12.89
Interquartile range (IQR)3.5375

Descriptive statistics

Standard deviation3.164973
Coefficient of variation (CV)0.030243728
Kurtosis0.31336371
Mean104.64891
Median Absolute Deviation (MAD)1.495
Skewness0.90933853
Sum6697.53
Variance10.017054
MonotonicityNot monotonic
2023-12-13T05:49:31.327630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.05 2
 
3.0%
102.48 2
 
3.0%
103.16 2
 
3.0%
101.16 1
 
1.5%
104.2 1
 
1.5%
99.97 1
 
1.5%
100.6 1
 
1.5%
101.74 1
 
1.5%
109.25 1
 
1.5%
103.51 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.82 1
1.5%
99.97 1
1.5%
100.6 1
1.5%
100.63 1
1.5%
100.72 1
1.5%
101.02 1
1.5%
101.16 1
1.5%
101.27 1
1.5%
101.33 1
1.5%
101.45 1
1.5%
ValueCountFrequency (%)
112.71 1
1.5%
112.6 1
1.5%
112.56 1
1.5%
110.82 1
1.5%
110.21 1
1.5%
110.03 1
1.5%
109.25 1
1.5%
108.76 1
1.5%
108.69 1
1.5%
108.5 1
1.5%

2022-01
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.80422
Minimum99.64
Maximum113.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:31.462609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.64
5-th percentile100.7445
Q1102.715
median104.185
Q3106.33
95-th percentile110.8455
Maximum113.16
Range13.52
Interquartile range (IQR)3.615

Descriptive statistics

Standard deviation3.2050718
Coefficient of variation (CV)0.030581515
Kurtosis0.3437574
Mean104.80422
Median Absolute Deviation (MAD)1.655
Skewness0.88885997
Sum6707.47
Variance10.272485
MonotonicityNot monotonic
2023-12-13T05:49:31.612047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.84 2
 
3.0%
105.05 2
 
3.0%
103.75 2
 
3.0%
107.81 2
 
3.0%
101.76 1
 
1.5%
100.69 1
 
1.5%
109.17 1
 
1.5%
103.62 1
 
1.5%
104.18 1
 
1.5%
100.74 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.64 1
1.5%
100.03 1
1.5%
100.69 1
1.5%
100.74 1
1.5%
100.77 1
1.5%
101.13 1
1.5%
101.16 1
1.5%
101.33 1
1.5%
101.37 1
1.5%
101.57 1
1.5%
ValueCountFrequency (%)
113.16 1
1.5%
112.85 1
1.5%
112.71 1
1.5%
110.91 1
1.5%
110.48 1
1.5%
110.31 1
1.5%
109.17 1
1.5%
109.01 1
1.5%
108.88 1
1.5%
108.69 1
1.5%

2022-02
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.93062
Minimum99.53
Maximum113.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:31.769467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.53
5-th percentile100.6815
Q1102.785
median104.205
Q3106.7025
95-th percentile110.9455
Maximum113.44
Range13.91
Interquartile range (IQR)3.9175

Descriptive statistics

Standard deviation3.2755258
Coefficient of variation (CV)0.031216109
Kurtosis0.31853377
Mean104.93062
Median Absolute Deviation (MAD)1.72
Skewness0.83853716
Sum6715.56
Variance10.729069
MonotonicityNot monotonic
2023-12-13T05:49:31.923699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.21 1
 
1.5%
104.46 1
 
1.5%
99.92 1
 
1.5%
100.52 1
 
1.5%
101.8 1
 
1.5%
109.22 1
 
1.5%
103.63 1
 
1.5%
104.24 1
 
1.5%
102.3 1
 
1.5%
102.47 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.53 1
1.5%
99.92 1
1.5%
100.52 1
1.5%
100.68 1
1.5%
100.69 1
1.5%
100.94 1
1.5%
101.1 1
1.5%
101.33 1
1.5%
101.48 1
1.5%
101.74 1
1.5%
ValueCountFrequency (%)
113.44 1
1.5%
113.1 1
1.5%
112.96 1
1.5%
110.98 1
1.5%
110.75 1
1.5%
110.69 1
1.5%
109.32 1
1.5%
109.22 1
1.5%
109.14 1
1.5%
108.76 1
1.5%

2022-03
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.08031
Minimum99.02
Maximum114.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:32.054343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.02
5-th percentile100.623
Q1102.8925
median104.445
Q3106.7675
95-th percentile111.1005
Maximum114.76
Range15.74
Interquartile range (IQR)3.875

Descriptive statistics

Standard deviation3.3764083
Coefficient of variation (CV)0.032131693
Kurtosis0.49842358
Mean105.08031
Median Absolute Deviation (MAD)1.905
Skewness0.81006811
Sum6725.14
Variance11.400133
MonotonicityNot monotonic
2023-12-13T05:49:32.204746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.33 2
 
3.0%
101.09 2
 
3.0%
103.67 2
 
3.0%
103.81 1
 
1.5%
104.0 1
 
1.5%
104.54 1
 
1.5%
99.83 1
 
1.5%
100.25 1
 
1.5%
101.82 1
 
1.5%
109.36 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
99.02 1
1.5%
99.83 1
1.5%
100.25 1
1.5%
100.62 1
1.5%
100.64 1
1.5%
101.09 2
3.0%
101.15 1
1.5%
101.28 1
1.5%
101.82 1
1.5%
102.3 1
1.5%
ValueCountFrequency (%)
114.76 1
1.5%
113.18 1
1.5%
112.96 1
1.5%
111.12 1
1.5%
110.99 1
1.5%
110.75 1
1.5%
109.72 1
1.5%
109.47 1
1.5%
109.36 1
1.5%
108.87 1
1.5%

2022-04
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.14687
Minimum98.65
Maximum115.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:32.343745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.65
5-th percentile100.3325
Q1102.96
median104.655
Q3106.9675
95-th percentile111.1875
Maximum115.13
Range16.48
Interquartile range (IQR)4.0075

Descriptive statistics

Standard deviation3.4354879
Coefficient of variation (CV)0.032673229
Kurtosis0.48809205
Mean105.14687
Median Absolute Deviation (MAD)1.97
Skewness0.72619768
Sum6729.4
Variance11.802577
MonotonicityNot monotonic
2023-12-13T05:49:32.486758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.98 2
 
3.0%
104.23 2
 
3.0%
110.89 1
 
1.5%
98.65 1
 
1.5%
104.84 1
 
1.5%
99.62 1
 
1.5%
100.23 1
 
1.5%
101.62 1
 
1.5%
109.32 1
 
1.5%
103.64 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.65 1
1.5%
99.62 1
1.5%
100.23 1
1.5%
100.31 1
1.5%
100.46 1
1.5%
100.92 1
1.5%
101.0 1
1.5%
101.11 1
1.5%
101.22 1
1.5%
101.62 1
1.5%
ValueCountFrequency (%)
115.13 1
1.5%
113.18 1
1.5%
112.96 1
1.5%
111.24 1
1.5%
110.89 1
1.5%
110.75 1
1.5%
109.91 1
1.5%
109.61 1
1.5%
109.32 1
1.5%
108.86 1
1.5%

2022-05
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.21391
Minimum98.49
Maximum115.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:32.620685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.49
5-th percentile100.1895
Q1103.0475
median104.745
Q3107.1
95-th percentile111.236
Maximum115.25
Range16.76
Interquartile range (IQR)4.0525

Descriptive statistics

Standard deviation3.4675505
Coefficient of variation (CV)0.03295715
Kurtosis0.41267488
Mean105.21391
Median Absolute Deviation (MAD)1.985
Skewness0.64836274
Sum6733.69
Variance12.023907
MonotonicityNot monotonic
2023-12-13T05:49:32.757978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.19 4
 
6.1%
104.31 2
 
3.0%
110.93 1
 
1.5%
105.23 1
 
1.5%
99.37 1
 
1.5%
100.16 1
 
1.5%
101.56 1
 
1.5%
109.55 1
 
1.5%
103.62 1
 
1.5%
102.3 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.49 1
1.5%
99.37 1
1.5%
100.16 1
1.5%
100.17 1
1.5%
100.3 1
1.5%
100.98 1
1.5%
101.02 1
1.5%
101.16 1
1.5%
101.25 1
1.5%
101.56 1
1.5%
ValueCountFrequency (%)
115.25 1
1.5%
113.18 1
1.5%
112.79 1
1.5%
111.29 1
1.5%
110.93 1
1.5%
110.65 1
1.5%
110.02 1
1.5%
109.75 1
1.5%
109.55 1
1.5%
108.92 1
1.5%

2022-06
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.25562
Minimum98.39
Maximum115.19
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:33.179719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.39
5-th percentile100.1235
Q1103.1125
median104.78
Q3107.285
95-th percentile111.2595
Maximum115.19
Range16.8
Interquartile range (IQR)4.1725

Descriptive statistics

Standard deviation3.4707306
Coefficient of variation (CV)0.032974301
Kurtosis0.34475528
Mean105.25562
Median Absolute Deviation (MAD)1.97
Skewness0.57930426
Sum6736.36
Variance12.045971
MonotonicityNot monotonic
2023-12-13T05:49:33.320983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.82 1
 
1.5%
105.38 1
 
1.5%
99.24 1
 
1.5%
100.11 1
 
1.5%
101.57 1
 
1.5%
109.46 1
 
1.5%
103.51 1
 
1.5%
104.25 1
 
1.5%
102.22 1
 
1.5%
102.13 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.39 1
1.5%
99.24 1
1.5%
100.09 1
1.5%
100.11 1
1.5%
100.2 1
1.5%
100.9 1
1.5%
101.12 1
1.5%
101.18 1
1.5%
101.31 1
1.5%
101.57 1
1.5%
ValueCountFrequency (%)
115.19 1
1.5%
113.13 1
1.5%
112.62 1
1.5%
111.3 1
1.5%
111.03 1
1.5%
110.6 1
1.5%
110.08 1
1.5%
109.77 1
1.5%
109.46 1
1.5%
108.96 1
1.5%

2022-07
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.25531
Minimum98.33
Maximum115.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:33.459182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.33
5-th percentile100.079
Q1103.1925
median104.925
Q3107.47
95-th percentile111.09
Maximum115.12
Range16.79
Interquartile range (IQR)4.2775

Descriptive statistics

Standard deviation3.4553441
Coefficient of variation (CV)0.032828216
Kurtosis0.31320465
Mean105.25531
Median Absolute Deviation (MAD)2.025
Skewness0.51396283
Sum6736.34
Variance11.939403
MonotonicityNot monotonic
2023-12-13T05:49:33.604938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.47 2
 
3.0%
104.2 2
 
3.0%
105.69 2
 
3.0%
106.42 1
 
1.5%
98.33 1
 
1.5%
101.14 1
 
1.5%
115.12 1
 
1.5%
107.66 1
 
1.5%
102.02 1
 
1.5%
102.18 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.33 1
1.5%
99.09 1
1.5%
99.96 1
1.5%
100.07 1
1.5%
100.13 1
1.5%
100.85 1
1.5%
101.01 1
1.5%
101.14 1
1.5%
101.4 1
1.5%
101.64 1
1.5%
ValueCountFrequency (%)
115.12 1
1.5%
113.09 1
1.5%
112.35 1
1.5%
111.12 1
1.5%
110.92 1
1.5%
110.58 1
1.5%
110.03 1
1.5%
109.67 1
1.5%
109.14 1
1.5%
108.92 1
1.5%

2022-08
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.205
Minimum98.3
Maximum114.78
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:33.756588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.3
5-th percentile99.951
Q1103.1975
median104.99
Q3107.54
95-th percentile110.942
Maximum114.78
Range16.48
Interquartile range (IQR)4.3425

Descriptive statistics

Standard deviation3.4466307
Coefficient of variation (CV)0.032761093
Kurtosis0.23588702
Mean105.205
Median Absolute Deviation (MAD)2.005
Skewness0.45402712
Sum6733.12
Variance11.879263
MonotonicityNot monotonic
2023-12-13T05:49:33.920075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.25 2
 
3.0%
104.48 1
 
1.5%
98.93 1
 
1.5%
99.8 1
 
1.5%
101.49 1
 
1.5%
108.99 1
 
1.5%
103.13 1
 
1.5%
103.86 1
 
1.5%
101.85 1
 
1.5%
101.83 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.3 1
1.5%
98.93 1
1.5%
99.8 1
1.5%
99.93 1
1.5%
100.07 1
1.5%
100.68 1
1.5%
100.84 1
1.5%
101.09 1
1.5%
101.38 1
1.5%
101.49 1
1.5%
ValueCountFrequency (%)
114.78 1
1.5%
112.99 1
1.5%
112.45 1
1.5%
110.99 1
1.5%
110.67 1
1.5%
110.45 1
1.5%
109.95 1
1.5%
109.57 1
1.5%
108.99 1
1.5%
108.79 1
1.5%

2022-09
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.10937
Minimum98.23
Maximum114.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:34.112514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.23
5-th percentile99.722
Q1103.125
median104.945
Q3107.3525
95-th percentile110.8105
Maximum114.56
Range16.33
Interquartile range (IQR)4.2275

Descriptive statistics

Standard deviation3.5128647
Coefficient of variation (CV)0.033421041
Kurtosis0.17618466
Mean105.10937
Median Absolute Deviation (MAD)2.155
Skewness0.42602456
Sum6727
Variance12.340219
MonotonicityNot monotonic
2023-12-13T05:49:34.302615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.37 1
 
1.5%
105.45 1
 
1.5%
98.68 1
 
1.5%
99.62 1
 
1.5%
101.19 1
 
1.5%
108.98 1
 
1.5%
103.02 1
 
1.5%
103.68 1
 
1.5%
101.56 1
 
1.5%
101.49 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.23 1
1.5%
98.68 1
1.5%
99.62 1
1.5%
99.71 1
1.5%
99.79 1
1.5%
100.24 1
1.5%
100.65 1
1.5%
100.93 1
1.5%
101.19 1
1.5%
101.2 1
1.5%
ValueCountFrequency (%)
114.56 1
1.5%
113.09 1
1.5%
112.87 1
1.5%
110.86 1
1.5%
110.53 1
1.5%
110.5 1
1.5%
109.87 1
1.5%
109.51 1
1.5%
108.98 1
1.5%
108.7 1
1.5%

2022-10
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.93547
Minimum98.13
Maximum114.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:34.465262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.13
5-th percentile99.4375
Q1102.9875
median104.84
Q3107.2225
95-th percentile110.5375
Maximum114.12
Range15.99
Interquartile range (IQR)4.235

Descriptive statistics

Standard deviation3.4930698
Coefficient of variation (CV)0.033287789
Kurtosis0.10896482
Mean104.93547
Median Absolute Deviation (MAD)2.135
Skewness0.3590435
Sum6715.87
Variance12.201536
MonotonicityNot monotonic
2023-12-13T05:49:34.623328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.84 2
 
3.0%
104.38 1
 
1.5%
98.35 1
 
1.5%
99.42 1
 
1.5%
101.0 1
 
1.5%
108.46 1
 
1.5%
102.89 1
 
1.5%
103.38 1
 
1.5%
101.2 1
 
1.5%
101.16 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.13 1
1.5%
98.35 1
1.5%
99.42 1
1.5%
99.43 1
1.5%
99.48 1
1.5%
100.13 1
1.5%
100.47 1
1.5%
100.68 1
1.5%
100.93 1
1.5%
101.0 1
1.5%
ValueCountFrequency (%)
114.12 1
1.5%
112.71 1
1.5%
112.67 1
1.5%
110.56 1
1.5%
110.41 1
1.5%
110.27 1
1.5%
109.63 1
1.5%
109.22 1
1.5%
108.56 1
1.5%
108.49 1
1.5%

2022-11
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.67
Minimum97.91
Maximum113.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:34.788218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.91
5-th percentile99.079
Q1102.7525
median104.6
Q3106.9075
95-th percentile110.3775
Maximum113.15
Range15.24
Interquartile range (IQR)4.155

Descriptive statistics

Standard deviation3.4678894
Coefficient of variation (CV)0.033131646
Kurtosis-0.05747545
Mean104.67
Median Absolute Deviation (MAD)2.205
Skewness0.24588931
Sum6698.88
Variance12.026257
MonotonicityNot monotonic
2023-12-13T05:49:34.989425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
97.91 2
 
3.0%
108.17 2
 
3.0%
104.52 1
 
1.5%
105.2 1
 
1.5%
99.04 1
 
1.5%
100.65 1
 
1.5%
107.93 1
 
1.5%
102.76 1
 
1.5%
102.93 1
 
1.5%
100.58 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.91 2
3.0%
99.04 1
1.5%
99.07 1
1.5%
99.13 1
1.5%
99.81 1
1.5%
100.1 1
1.5%
100.5 1
1.5%
100.56 1
1.5%
100.58 1
1.5%
100.65 1
1.5%
ValueCountFrequency (%)
113.15 1
1.5%
112.46 1
1.5%
111.9 1
1.5%
110.4 1
1.5%
110.25 1
1.5%
110.03 1
1.5%
109.35 1
1.5%
108.91 1
1.5%
108.17 2
3.0%
107.93 1
1.5%

2022-12
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.27922
Minimum97.51
Maximum112.46
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:35.152592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.51
5-th percentile98.5795
Q1102.3975
median104.195
Q3106.585
95-th percentile110.0285
Maximum112.46
Range14.95
Interquartile range (IQR)4.1875

Descriptive statistics

Standard deviation3.4164134
Coefficient of variation (CV)0.032762169
Kurtosis-0.054006865
Mean104.27922
Median Absolute Deviation (MAD)2.135
Skewness0.177067
Sum6673.87
Variance11.67188
MonotonicityNot monotonic
2023-12-13T05:49:35.327879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.94 1
 
1.5%
105.08 1
 
1.5%
97.51 1
 
1.5%
98.56 1
 
1.5%
100.45 1
 
1.5%
107.02 1
 
1.5%
102.4 1
 
1.5%
102.56 1
 
1.5%
99.8 1
 
1.5%
99.79 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.51 1
1.5%
97.69 1
1.5%
98.52 1
1.5%
98.56 1
1.5%
98.69 1
1.5%
99.43 1
1.5%
99.69 1
1.5%
99.79 1
1.5%
99.8 1
1.5%
100.18 1
1.5%
ValueCountFrequency (%)
112.46 1
1.5%
112.33 1
1.5%
110.82 1
1.5%
110.09 1
1.5%
109.68 1
1.5%
109.28 1
1.5%
108.78 1
1.5%
108.29 1
1.5%
107.65 1
1.5%
107.61 1
1.5%

2023-01
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.78156
Minimum97
Maximum112.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:35.490974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97
5-th percentile97.7135
Q1101.79
median103.695
Q3106.05
95-th percentile109.6525
Maximum112.1
Range15.1
Interquartile range (IQR)4.26

Descriptive statistics

Standard deviation3.4425956
Coefficient of variation (CV)0.033171553
Kurtosis-0.0061988358
Mean103.78156
Median Absolute Deviation (MAD)2.16
Skewness0.094330383
Sum6642.02
Variance11.851464
MonotonicityNot monotonic
2023-12-13T05:49:35.696949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.93 2
 
3.0%
103.29 2
 
3.0%
105.08 1
 
1.5%
97.0 1
 
1.5%
98.33 1
 
1.5%
99.96 1
 
1.5%
106.43 1
 
1.5%
101.61 1
 
1.5%
101.21 1
 
1.5%
97.35 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.0 1
1.5%
97.35 1
1.5%
97.45 1
1.5%
97.64 1
1.5%
98.13 1
1.5%
98.33 1
1.5%
98.94 1
1.5%
99.25 1
1.5%
99.42 1
1.5%
99.54 1
1.5%
ValueCountFrequency (%)
112.1 1
1.5%
112.03 1
1.5%
110.08 1
1.5%
109.84 1
1.5%
108.59 1
1.5%
108.08 1
1.5%
108.03 1
1.5%
107.61 1
1.5%
107.16 1
1.5%
106.9 1
1.5%

2023-02
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.37422
Minimum95.31
Maximum111.92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:35.872196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.31
5-th percentile97.5095
Q1101.3225
median103.405
Q3105.3925
95-th percentile109.336
Maximum111.92
Range16.61
Interquartile range (IQR)4.07

Descriptive statistics

Standard deviation3.4619908
Coefficient of variation (CV)0.033489886
Kurtosis0.17315334
Mean103.37422
Median Absolute Deviation (MAD)2.09
Skewness0.014549713
Sum6615.95
Variance11.98538
MonotonicityNot monotonic
2023-12-13T05:49:36.063210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.86 2
 
3.0%
99.18 1
 
1.5%
103.8 1
 
1.5%
104.93 1
 
1.5%
96.64 1
 
1.5%
98.08 1
 
1.5%
99.6 1
 
1.5%
105.64 1
 
1.5%
101.3 1
 
1.5%
100.45 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
95.31 1
1.5%
96.64 1
1.5%
97.2 1
1.5%
97.46 1
1.5%
97.79 1
1.5%
98.08 1
1.5%
98.71 1
1.5%
98.91 1
1.5%
98.92 1
1.5%
99.18 1
1.5%
ValueCountFrequency (%)
111.92 1
1.5%
111.55 1
1.5%
109.71 1
1.5%
109.6 1
1.5%
107.84 1
1.5%
107.51 1
1.5%
107.06 1
1.5%
107.0 1
1.5%
106.67 1
1.5%
106.46 1
1.5%

2023-03
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.98391
Minimum93.72
Maximum111.49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:36.246339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.72
5-th percentile97.2295
Q1100.975
median103.21
Q3105.1875
95-th percentile109.0545
Maximum111.49
Range17.77
Interquartile range (IQR)4.2125

Descriptive statistics

Standard deviation3.475379
Coefficient of variation (CV)0.033746817
Kurtosis0.36930095
Mean102.98391
Median Absolute Deviation (MAD)2.22
Skewness-0.099896138
Sum6590.97
Variance12.078259
MonotonicityNot monotonic
2023-12-13T05:49:36.432175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.57 2
 
3.0%
102.69 1
 
1.5%
104.89 1
 
1.5%
96.38 1
 
1.5%
97.66 1
 
1.5%
99.4 1
 
1.5%
105.42 1
 
1.5%
100.96 1
 
1.5%
100.03 1
 
1.5%
93.72 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
93.72 1
1.5%
96.38 1
1.5%
96.74 1
1.5%
97.18 1
1.5%
97.51 1
1.5%
97.66 1
1.5%
98.35 1
1.5%
98.53 1
1.5%
98.6 1
1.5%
98.8 1
1.5%
ValueCountFrequency (%)
111.49 1
1.5%
110.79 1
1.5%
109.4 1
1.5%
109.35 1
1.5%
107.38 1
1.5%
107.07 1
1.5%
106.61 1
1.5%
106.2 1
1.5%
106.19 1
1.5%
106.07 1
1.5%

2023-04
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.60391
Minimum92.74
Maximum110.97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:36.617343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.74
5-th percentile96.718
Q1100.66
median102.895
Q3104.76
95-th percentile108.4905
Maximum110.97
Range18.23
Interquartile range (IQR)4.1

Descriptive statistics

Standard deviation3.4899027
Coefficient of variation (CV)0.034013351
Kurtosis0.46198875
Mean102.60391
Median Absolute Deviation (MAD)2.04
Skewness-0.20780886
Sum6566.65
Variance12.179421
MonotonicityNot monotonic
2023-12-13T05:49:36.795471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.44 1
 
1.5%
104.79 1
 
1.5%
96.05 1
 
1.5%
97.2 1
 
1.5%
99.18 1
 
1.5%
104.75 1
 
1.5%
100.68 1
 
1.5%
99.35 1
 
1.5%
92.74 1
 
1.5%
97.97 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
92.74 1
1.5%
96.05 1
1.5%
96.23 1
1.5%
96.64 1
1.5%
97.16 1
1.5%
97.2 1
1.5%
97.97 1
1.5%
98.1 1
1.5%
98.33 1
1.5%
98.46 1
1.5%
ValueCountFrequency (%)
110.97 1
1.5%
110.03 1
1.5%
109.23 1
1.5%
108.81 1
1.5%
106.68 1
1.5%
106.56 1
1.5%
106.08 1
1.5%
106.04 1
1.5%
105.93 1
1.5%
105.91 1
1.5%

2023-05
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.25344
Minimum91.38
Maximum110.61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:36.988716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.38
5-th percentile96.184
Q1100.325
median102.55
Q3104.3825
95-th percentile108.405
Maximum110.61
Range19.23
Interquartile range (IQR)4.0575

Descriptive statistics

Standard deviation3.5558993
Coefficient of variation (CV)0.034775352
Kurtosis0.70063528
Mean102.25344
Median Absolute Deviation (MAD)2.08
Skewness-0.32018799
Sum6544.22
Variance12.64442
MonotonicityNot monotonic
2023-12-13T05:49:37.145866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.88 2
 
3.0%
101.2 1
 
1.5%
103.24 1
 
1.5%
104.69 1
 
1.5%
95.75 1
 
1.5%
96.86 1
 
1.5%
104.08 1
 
1.5%
100.38 1
 
1.5%
91.38 1
 
1.5%
97.4 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
91.38 1
1.5%
95.75 1
1.5%
95.86 1
1.5%
96.07 1
1.5%
96.83 1
1.5%
96.86 1
1.5%
97.4 1
1.5%
97.78 1
1.5%
97.92 1
1.5%
98.37 1
1.5%
ValueCountFrequency (%)
110.61 1
1.5%
109.23 1
1.5%
108.93 1
1.5%
108.78 1
1.5%
106.28 1
1.5%
106.13 1
1.5%
106.1 1
1.5%
106.04 1
1.5%
105.66 1
1.5%
105.61 1
1.5%

2023-06
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.96594
Minimum90.32
Maximum109.93
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T05:49:37.333256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.32
5-th percentile95.9065
Q199.8375
median102.295
Q3104.1975
95-th percentile107.903
Maximum109.93
Range19.61
Interquartile range (IQR)4.36

Descriptive statistics

Standard deviation3.6093502
Coefficient of variation (CV)0.035397607
Kurtosis0.88822655
Mean101.96594
Median Absolute Deviation (MAD)2.16
Skewness-0.41468779
Sum6525.82
Variance13.027409
MonotonicityNot monotonic
2023-12-13T05:49:37.872656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
105.86 2
 
3.0%
95.55 1
 
1.5%
104.7 1
 
1.5%
95.5 1
 
1.5%
96.51 1
 
1.5%
98.52 1
 
1.5%
103.01 1
 
1.5%
99.84 1
 
1.5%
98.27 1
 
1.5%
90.32 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
90.32 1
1.5%
95.5 1
1.5%
95.55 1
1.5%
95.8 1
1.5%
96.51 1
1.5%
96.53 1
1.5%
97.05 1
1.5%
97.48 1
1.5%
97.61 1
1.5%
98.27 1
1.5%
ValueCountFrequency (%)
109.93 1
1.5%
108.98 1
1.5%
108.94 1
1.5%
108.23 1
1.5%
106.05 1
1.5%
106.04 1
1.5%
105.86 2
3.0%
105.55 1
1.5%
105.47 1
1.5%
105.35 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㎡이하100.01100.11100.23100.38100.49100.71100.95101.11101.17101.25101.28101.42101.57101.79102.03102.25102.47102.63102.76102.88103.0103.05103.13103.21103.27103.29103.19103.02102.73102.39101.95101.6101.27100.84100.53100.26
1전국_40㎡초과 60㎡이하100.01100.07100.25100.39100.69100.93101.17101.43101.63101.72101.85102.02102.13102.58103.07103.44103.87104.04104.19104.16104.19104.23104.31104.41104.43104.35104.22104.07103.82103.32102.73102.37101.95101.59101.2100.89
2전국_60㎡초과 85㎡이하100.04100.25100.51100.82101.23101.65101.93102.19102.45102.77103.05103.61104.01105.02105.81106.46107.19107.63107.81107.88107.98107.94107.99108.01107.98107.85107.68107.53107.2106.69105.9105.26104.64104.15103.53103.26
3전국_85㎡초과100.06100.2100.39100.56101.13101.51101.94102.42102.69103.1103.45103.96104.51105.51106.57107.24108.34108.69108.88109.14109.47109.61109.75109.77109.67109.57109.51109.22108.91108.29107.61107.0106.61106.08105.61105.21
4수도권_40㎡이하100.02100.16100.31100.48100.63100.89101.15101.32101.4101.47101.49101.66101.85102.12102.41102.66102.92103.1103.24103.41103.58103.67103.82103.95104.05104.11104.04103.9103.63103.29102.89102.54102.2101.74101.43101.17
5수도권_40㎡초과 60㎡이하100.02100.08100.28100.43100.79101.06101.34101.64101.88101.97102.14102.31102.42102.95103.54103.97104.48104.66104.84104.82104.92104.98105.09105.22105.27105.23105.11104.96104.74104.23103.59103.23102.8102.45102.05101.74
6수도권_60㎡초과 85㎡이하100.05100.32100.64100.97101.39101.81102.1102.38102.67103.0103.28103.89104.34105.49106.42107.18108.03108.5108.69108.76108.87108.86108.92108.96108.92108.79108.62108.49108.17107.61106.79106.11105.44104.92104.25104.02
7수도권_85㎡초과100.06100.22100.43100.64101.1101.47101.95102.49102.72103.15103.49104.08104.41105.28106.41107.15108.34108.76109.01109.32109.72109.91110.02110.08110.03109.95109.87109.63109.35108.78108.08107.51107.07106.56106.13105.86
8지방_40㎡이하99.9699.9499.999.9599.9199.97100.1100.21100.23100.31100.4100.42100.39100.44100.47100.56100.63100.72100.77100.69100.64100.46100.3100.2100.0799.9399.7199.4399.0798.6998.1397.7997.5197.1696.8396.53
9지방_40㎡초과 60㎡이하99.98100.05100.12100.22100.28100.4100.47100.55100.62100.68100.68100.83100.93101.06101.17101.29101.42101.5101.57101.48101.28101.22101.16101.12101.01100.84100.65100.47100.199.6999.2598.9198.5398.197.7897.48
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㎡이하100.099.7599.8100.18100.22100.12100.25100.36100.66100.62101.01101.45101.45101.67101.85101.89102.16102.48102.48102.5102.57102.51102.51102.51102.5102.49102.29102.15101.99101.79101.5100.92100.78100.3799.9499.72
57울산_40㎡초과 60㎡이하100.0100.44100.82101.07101.4101.25101.52101.85101.96102.3102.56102.99103.57103.79104.13104.57104.8104.85105.27105.42105.42105.54105.52105.52105.52105.35105.35105.27105.0104.74104.23103.73103.35103.17102.98102.78
58울산_60㎡초과 85㎡이하99.98100.02100.12101.49102.41103.02103.5103.78104.56105.54105.96107.09108.48109.86110.61111.33112.03112.56112.85113.1113.18113.18113.18113.13113.09112.99112.87112.71112.46112.33112.1111.92111.49110.97110.61109.93
59울산_85㎡초과100.0100.15100.18100.45102.13102.49103.03103.3103.95104.15104.3104.58105.45105.74107.29108.01109.25110.21110.48110.75110.75110.75110.65110.6110.58110.45110.5110.27110.25110.09109.84109.71109.4109.23108.93108.94
60세종_40㎡이하100.23100.83101.26101.49101.65101.81102.02102.24102.44102.55102.55102.62102.81102.89103.23103.35103.56103.71103.71103.71103.67103.77103.77103.84103.78103.73103.73103.73103.72103.67103.67103.58103.4103.23102.94102.53
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㎡이하100.03100.21100.37100.58100.69101.05101.28101.38101.42101.49101.53101.73101.9102.01102.52102.74103.01103.16103.25103.53103.65103.76103.93104.09104.2104.34104.33104.25104.0103.7103.16102.86102.57102.07101.74101.44
63경기_40㎡초과 60㎡이하100.02100.06100.37100.6101.02101.34101.85102.26102.61102.8102.97103.18103.33103.62104.14104.39104.81104.97105.09104.96104.94105.03105.23105.45105.5105.34105.19105.12104.8104.22103.29102.88102.39101.99101.56101.31
64경기_60㎡초과 85㎡이하100.06100.47100.98101.49102.04102.51103.11103.72104.23104.69105.14105.89106.56107.93108.92109.73110.75110.82110.91110.98110.99110.89110.93111.03110.92110.67110.53110.41110.03109.28108.03107.06105.97105.31104.71104.5
65경기_85㎡초과100.02100.24100.53100.67101.18101.51102.26102.82103.01103.49103.9104.73105.1106.05107.52108.3109.56110.03110.31110.69111.12111.24111.29111.3111.12110.99110.86110.56110.4109.68108.59107.84107.38106.68106.1105.86