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 오피스텔가격동향조사 중 규모별 매매가격지수 데이터입니다. - (기준월 : 2020.6 = 100) - 단위 : 지수 - 공표시기 : 조사 다음달 15일(휴일인 경우 그 다음날)
URLhttps://www.data.go.kr/data/15048322/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 00:53:05.295873
Analysis finished2023-12-12 00:53:05.639447
Duration0.34 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
2023-12-12T09:53:05.847172image/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%
2023-12-12T09:53:06.299103image/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 

Distinct37
Distinct (%)57.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.01984
Minimum99.5
Maximum100.54
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:06.475381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.5
5-th percentile99.7065
Q199.96
median100
Q3100.0925
95-th percentile100.3655
Maximum100.54
Range1.04
Interquartile range (IQR)0.1325

Descriptive statistics

Standard deviation0.17647782
Coefficient of variation (CV)0.001764428
Kurtosis1.9728913
Mean100.01984
Median Absolute Deviation (MAD)0.07
Skewness0.070690166
Sum6401.27
Variance0.03114442
MonotonicityNot monotonic
2023-12-12T09:53:06.630177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
100.0 13
19.7%
100.06 3
 
4.5%
100.15 3
 
4.5%
100.07 3
 
4.5%
100.03 3
 
4.5%
99.96 3
 
4.5%
100.01 2
 
3.0%
99.87 2
 
3.0%
100.12 2
 
3.0%
99.86 2
 
3.0%
Other values (27) 28
42.4%
ValueCountFrequency (%)
99.5 1
1.5%
99.6 1
1.5%
99.68 1
1.5%
99.69 1
1.5%
99.8 1
1.5%
99.82 1
1.5%
99.83 1
1.5%
99.86 2
3.0%
99.87 2
3.0%
99.88 1
1.5%
ValueCountFrequency (%)
100.54 1
 
1.5%
100.41 1
 
1.5%
100.4 1
 
1.5%
100.37 1
 
1.5%
100.34 1
 
1.5%
100.21 1
 
1.5%
100.19 1
 
1.5%
100.18 1
 
1.5%
100.15 3
4.5%
100.14 1
 
1.5%

2020-08
Real number (ℝ)

MISSING 

Distinct46
Distinct (%)71.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.08156
Minimum99.19
Maximum100.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:06.797098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.19
5-th percentile99.64
Q199.905
median100.045
Q3100.295
95-th percentile100.58
Maximum100.83
Range1.64
Interquartile range (IQR)0.39

Descriptive statistics

Standard deviation0.32744911
Coefficient of variation (CV)0.0032718225
Kurtosis0.49083484
Mean100.08156
Median Absolute Deviation (MAD)0.195
Skewness-0.12622888
Sum6405.22
Variance0.10722292
MonotonicityNot monotonic
2023-12-12T09:53:06.957526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
100.04 4
 
6.1%
100.0 3
 
4.5%
99.89 2
 
3.0%
100.54 2
 
3.0%
99.84 2
 
3.0%
99.96 2
 
3.0%
99.64 2
 
3.0%
100.16 2
 
3.0%
100.58 2
 
3.0%
100.05 2
 
3.0%
Other values (36) 41
62.1%
ValueCountFrequency (%)
99.19 1
1.5%
99.24 1
1.5%
99.55 1
1.5%
99.64 2
3.0%
99.67 1
1.5%
99.68 1
1.5%
99.69 1
1.5%
99.74 1
1.5%
99.76 1
1.5%
99.79 1
1.5%
ValueCountFrequency (%)
100.83 1
1.5%
100.79 1
1.5%
100.61 1
1.5%
100.58 2
3.0%
100.54 2
3.0%
100.52 1
1.5%
100.5 1
1.5%
100.47 1
1.5%
100.4 1
1.5%
100.37 1
1.5%

2020-09
Real number (ℝ)

MISSING 

Distinct49
Distinct (%)76.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.10656
Minimum98.91
Maximum101.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:07.113171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.91
5-th percentile99.346
Q199.7875
median100.08
Q3100.4075
95-th percentile100.8725
Maximum101.01
Range2.1
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation0.46035603
Coefficient of variation (CV)0.0045986599
Kurtosis-0.24060411
Mean100.10656
Median Absolute Deviation (MAD)0.3
Skewness-0.054947571
Sum6406.82
Variance0.21192768
MonotonicityNot monotonic
2023-12-12T09:53:07.267619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
99.78 3
 
4.5%
100.06 3
 
4.5%
100.13 3
 
4.5%
99.96 2
 
3.0%
99.34 2
 
3.0%
100.16 2
 
3.0%
100.04 2
 
3.0%
100.34 2
 
3.0%
100.08 2
 
3.0%
100.15 2
 
3.0%
Other values (39) 41
62.1%
ValueCountFrequency (%)
98.91 1
1.5%
99.26 1
1.5%
99.34 2
3.0%
99.38 1
1.5%
99.45 1
1.5%
99.5 1
1.5%
99.57 1
1.5%
99.59 1
1.5%
99.63 1
1.5%
99.71 1
1.5%
ValueCountFrequency (%)
101.01 1
1.5%
100.96 1
1.5%
100.95 1
1.5%
100.88 1
1.5%
100.83 1
1.5%
100.8 1
1.5%
100.72 1
1.5%
100.71 1
1.5%
100.69 1
1.5%
100.64 1
1.5%

2020-10
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.17422
Minimum98.87
Maximum101.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:07.415338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.87
5-th percentile99.338
Q199.84
median100.165
Q3100.615
95-th percentile100.97
Maximum101.29
Range2.42
Interquartile range (IQR)0.775

Descriptive statistics

Standard deviation0.5346377
Coefficient of variation (CV)0.0053370789
Kurtosis-0.30699608
Mean100.17422
Median Absolute Deviation (MAD)0.37
Skewness-0.11801419
Sum6411.15
Variance0.28583748
MonotonicityNot monotonic
2023-12-12T09:53:07.547102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.9 3
 
4.5%
100.17 2
 
3.0%
100.97 2
 
3.0%
100.1 2
 
3.0%
100.21 2
 
3.0%
100.49 1
 
1.5%
99.96 1
 
1.5%
99.92 1
 
1.5%
99.57 1
 
1.5%
100.32 1
 
1.5%
Other values (48) 48
72.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.87 1
1.5%
99.01 1
1.5%
99.11 1
1.5%
99.32 1
1.5%
99.44 1
1.5%
99.52 1
1.5%
99.55 1
1.5%
99.57 1
1.5%
99.58 1
1.5%
99.59 1
1.5%
ValueCountFrequency (%)
101.29 1
1.5%
101.12 1
1.5%
101.07 1
1.5%
100.97 2
3.0%
100.95 1
1.5%
100.88 1
1.5%
100.86 1
1.5%
100.82 1
1.5%
100.79 1
1.5%
100.75 1
1.5%

2020-11
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.25797
Minimum98.55
Maximum101.96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:07.689713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.55
5-th percentile99.142
Q199.7775
median100.18
Q3100.9225
95-th percentile101.504
Maximum101.96
Range3.41
Interquartile range (IQR)1.145

Descriptive statistics

Standard deviation0.73594379
Coefficient of variation (CV)0.0073405017
Kurtosis-0.24345117
Mean100.25797
Median Absolute Deviation (MAD)0.515
Skewness0.034419895
Sum6416.51
Variance0.54161327
MonotonicityNot monotonic
2023-12-12T09:53:07.840989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.66 2
 
3.0%
101.03 2
 
3.0%
99.62 2
 
3.0%
99.59 2
 
3.0%
100.03 2
 
3.0%
100.32 2
 
3.0%
100.96 1
 
1.5%
99.74 1
 
1.5%
99.97 1
 
1.5%
101.96 1
 
1.5%
Other values (48) 48
72.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.55 1
1.5%
98.72 1
1.5%
98.84 1
1.5%
99.13 1
1.5%
99.21 1
1.5%
99.23 1
1.5%
99.37 1
1.5%
99.42 1
1.5%
99.59 2
3.0%
99.62 2
3.0%
ValueCountFrequency (%)
101.96 1
1.5%
101.64 1
1.5%
101.63 1
1.5%
101.54 1
1.5%
101.3 1
1.5%
101.24 1
1.5%
101.15 1
1.5%
101.09 1
1.5%
101.07 1
1.5%
101.03 2
3.0%

2020-12
Real number (ℝ)

MISSING 

Distinct59
Distinct (%)92.2%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.37297
Minimum98.05
Maximum103.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:07.997940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.05
5-th percentile98.833
Q199.7025
median100.23
Q3101.1125
95-th percentile101.9105
Maximum103.09
Range5.04
Interquartile range (IQR)1.41

Descriptive statistics

Standard deviation0.9882479
Coefficient of variation (CV)0.0098457574
Kurtosis0.79858941
Mean100.37297
Median Absolute Deviation (MAD)0.59
Skewness0.41271147
Sum6423.87
Variance0.9766339
MonotonicityNot monotonic
2023-12-12T09:53:08.154212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.37 2
 
3.0%
101.35 2
 
3.0%
99.64 2
 
3.0%
100.15 2
 
3.0%
100.0 2
 
3.0%
98.48 1
 
1.5%
99.42 1
 
1.5%
101.15 1
 
1.5%
99.02 1
 
1.5%
99.52 1
 
1.5%
Other values (49) 49
74.2%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
98.05 1
1.5%
98.48 1
1.5%
98.58 1
1.5%
98.8 1
1.5%
99.02 1
1.5%
99.09 1
1.5%
99.23 1
1.5%
99.42 1
1.5%
99.45 1
1.5%
99.52 1
1.5%
ValueCountFrequency (%)
103.09 1
1.5%
103.01 1
1.5%
102.59 1
1.5%
101.96 1
1.5%
101.63 1
1.5%
101.57 1
1.5%
101.37 2
3.0%
101.35 2
3.0%
101.28 1
1.5%
101.24 1
1.5%

2021-01
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.47969
Minimum97.96
Maximum103.82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:08.356648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.96
5-th percentile98.555
Q199.6325
median100.445
Q3101.175
95-th percentile102.6375
Maximum103.82
Range5.86
Interquartile range (IQR)1.5425

Descriptive statistics

Standard deviation1.1974549
Coefficient of variation (CV)0.011917383
Kurtosis0.24715037
Mean100.47969
Median Absolute Deviation (MAD)0.82
Skewness0.39162764
Sum6430.7
Variance1.4338983
MonotonicityNot monotonic
2023-12-12T09:53:08.534783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.49 3
 
4.5%
100.53 2
 
3.0%
100.04 2
 
3.0%
100.18 1
 
1.5%
101.47 1
 
1.5%
98.89 1
 
1.5%
99.51 1
 
1.5%
103.24 1
 
1.5%
99.15 1
 
1.5%
100.68 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.96 1
1.5%
98.37 1
1.5%
98.52 1
1.5%
98.54 1
1.5%
98.64 1
1.5%
98.89 1
1.5%
98.99 1
1.5%
99.1 1
1.5%
99.15 1
1.5%
99.35 1
1.5%
ValueCountFrequency (%)
103.82 1
1.5%
103.24 1
1.5%
102.78 1
1.5%
102.69 1
1.5%
102.34 1
1.5%
102.05 1
1.5%
101.85 1
1.5%
101.83 1
1.5%
101.81 1
1.5%
101.78 1
1.5%

2021-02
Real number (ℝ)

MISSING 

Distinct58
Distinct (%)90.6%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.68641
Minimum97.76
Maximum104.74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:08.723206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.76
5-th percentile98.476
Q199.5475
median100.625
Q3101.65
95-th percentile103.3655
Maximum104.74
Range6.98
Interquartile range (IQR)2.1025

Descriptive statistics

Standard deviation1.4668077
Coefficient of variation (CV)0.014568081
Kurtosis0.20059499
Mean100.68641
Median Absolute Deviation (MAD)1.09
Skewness0.46923474
Sum6443.93
Variance2.151525
MonotonicityNot monotonic
2023-12-12T09:53:08.968866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.37 2
 
3.0%
100.91 2
 
3.0%
100.39 2
 
3.0%
99.56 2
 
3.0%
101.98 2
 
3.0%
99.51 2
 
3.0%
104.02 1
 
1.5%
100.38 1
 
1.5%
99.13 1
 
1.5%
99.1 1
 
1.5%
Other values (48) 48
72.7%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.76 1
1.5%
98.14 1
1.5%
98.19 1
1.5%
98.41 1
1.5%
98.85 1
1.5%
98.87 1
1.5%
98.94 1
1.5%
99.1 1
1.5%
99.13 1
1.5%
99.18 1
1.5%
ValueCountFrequency (%)
104.74 1
1.5%
104.02 1
1.5%
103.82 1
1.5%
103.43 1
1.5%
103.0 1
1.5%
102.6 1
1.5%
102.46 1
1.5%
102.37 2
3.0%
102.21 1
1.5%
102.06 1
1.5%

2021-03
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean100.84891
Minimum97.65
Maximum105.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:09.203037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.65
5-th percentile98.4815
Q199.485
median100.695
Q3101.695
95-th percentile104.0755
Maximum105.52
Range7.87
Interquartile range (IQR)2.21

Descriptive statistics

Standard deviation1.7265785
Coefficient of variation (CV)0.017120449
Kurtosis0.2528648
Mean100.84891
Median Absolute Deviation (MAD)1.19
Skewness0.62031053
Sum6454.33
Variance2.9810734
MonotonicityNot monotonic
2023-12-12T09:53:09.442249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.44 2
 
3.0%
100.46 2
 
3.0%
102.54 2
 
3.0%
103.14 1
 
1.5%
99.24 1
 
1.5%
98.97 1
 
1.5%
100.31 1
 
1.5%
104.87 1
 
1.5%
99.16 1
 
1.5%
101.07 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.65 1
1.5%
98.0 1
1.5%
98.12 1
1.5%
98.45 1
1.5%
98.66 1
1.5%
98.7 1
1.5%
98.83 1
1.5%
98.97 1
1.5%
99.1 1
1.5%
99.15 1
1.5%
ValueCountFrequency (%)
105.52 1
1.5%
104.97 1
1.5%
104.87 1
1.5%
104.14 1
1.5%
103.71 1
1.5%
103.14 1
1.5%
103.12 1
1.5%
103.06 1
1.5%
102.86 1
1.5%
102.54 2
3.0%

2021-04
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.05578
Minimum97.14
Maximum106.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:09.653229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum97.14
5-th percentile98.6195
Q199.595
median100.805
Q3102.2575
95-th percentile104.736
Maximum106.59
Range9.45
Interquartile range (IQR)2.6625

Descriptive statistics

Standard deviation1.9413739
Coefficient of variation (CV)0.019210914
Kurtosis0.31235488
Mean101.05578
Median Absolute Deviation (MAD)1.33
Skewness0.62565096
Sum6467.57
Variance3.7689327
MonotonicityNot monotonic
2023-12-12T09:53:09.871683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.86 2
 
3.0%
99.22 1
 
1.5%
101.73 1
 
1.5%
98.6 1
 
1.5%
99.36 1
 
1.5%
100.65 1
 
1.5%
105.18 1
 
1.5%
99.15 1
 
1.5%
101.25 1
 
1.5%
98.06 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
97.14 1
1.5%
97.8 1
1.5%
98.06 1
1.5%
98.6 1
1.5%
98.73 1
1.5%
98.74 1
1.5%
98.97 1
1.5%
98.99 1
1.5%
99.1 1
1.5%
99.15 1
1.5%
ValueCountFrequency (%)
106.59 1
1.5%
105.5 1
1.5%
105.18 1
1.5%
104.79 1
1.5%
104.43 1
1.5%
103.79 1
1.5%
103.62 1
1.5%
103.5 1
1.5%
103.29 1
1.5%
102.97 1
1.5%

2021-05
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.27094
Minimum96.67
Maximum107.34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:10.052789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.67
5-th percentile98.6475
Q199.5225
median100.92
Q3102.6425
95-th percentile105.1855
Maximum107.34
Range10.67
Interquartile range (IQR)3.12

Descriptive statistics

Standard deviation2.2113098
Coefficient of variation (CV)0.021835582
Kurtosis0.14109716
Mean101.27094
Median Absolute Deviation (MAD)1.49
Skewness0.64224236
Sum6481.34
Variance4.8898912
MonotonicityNot monotonic
2023-12-12T09:53:10.241029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.19 2
 
3.0%
99.07 2
 
3.0%
98.93 2
 
3.0%
100.74 1
 
1.5%
101.82 1
 
1.5%
98.64 1
 
1.5%
99.24 1
 
1.5%
100.81 1
 
1.5%
105.61 1
 
1.5%
101.52 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
96.67 1
1.5%
98.03 1
1.5%
98.31 1
1.5%
98.64 1
1.5%
98.69 1
1.5%
98.72 1
1.5%
98.77 1
1.5%
98.93 2
3.0%
99.07 2
3.0%
99.24 1
1.5%
ValueCountFrequency (%)
107.34 1
1.5%
106.7 1
1.5%
105.61 1
1.5%
105.25 1
1.5%
104.82 1
1.5%
104.64 1
1.5%
104.33 1
1.5%
104.19 2
3.0%
103.63 1
1.5%
103.55 1
1.5%

2021-06
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.58656
Minimum96.5
Maximum110.64
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:10.801505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.5
5-th percentile98.5165
Q199.54
median101.055
Q3102.9225
95-th percentile106.554
Maximum110.64
Range14.14
Interquartile range (IQR)3.3825

Descriptive statistics

Standard deviation2.6512352
Coefficient of variation (CV)0.026098287
Kurtosis1.2242148
Mean101.58656
Median Absolute Deviation (MAD)1.62
Skewness0.99525344
Sum6501.54
Variance7.0290483
MonotonicityNot monotonic
2023-12-12T09:53:11.073766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.5 2
 
3.0%
101.74 2
 
3.0%
107.66 1
 
1.5%
100.95 1
 
1.5%
101.96 1
 
1.5%
99.23 1
 
1.5%
100.9 1
 
1.5%
106.77 1
 
1.5%
99.08 1
 
1.5%
101.5 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
96.5 1
1.5%
98.05 1
1.5%
98.5 2
3.0%
98.61 1
1.5%
98.68 1
1.5%
98.78 1
1.5%
98.9 1
1.5%
98.95 1
1.5%
99.08 1
1.5%
99.11 1
1.5%
ValueCountFrequency (%)
110.64 1
1.5%
107.66 1
1.5%
106.77 1
1.5%
106.68 1
1.5%
105.84 1
1.5%
105.76 1
1.5%
105.36 1
1.5%
105.23 1
1.5%
104.85 1
1.5%
104.15 1
1.5%

2021-07
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean101.92125
Minimum96.5
Maximum111.01
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:11.288174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.5
5-th percentile98.5745
Q199.68
median101.33
Q3103.3525
95-th percentile107.391
Maximum111.01
Range14.51
Interquartile range (IQR)3.6725

Descriptive statistics

Standard deviation2.9184735
Coefficient of variation (CV)0.028634592
Kurtosis0.79227691
Mean101.92125
Median Absolute Deviation (MAD)1.735
Skewness0.99876747
Sum6522.96
Variance8.5174873
MonotonicityNot monotonic
2023-12-12T09:53:11.505418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.05 2
 
3.0%
101.73 2
 
3.0%
101.34 1
 
1.5%
102.3 1
 
1.5%
98.36 1
 
1.5%
99.14 1
 
1.5%
100.97 1
 
1.5%
108.56 1
 
1.5%
101.53 1
 
1.5%
101.05 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
96.5 1
1.5%
98.31 1
1.5%
98.36 1
1.5%
98.57 1
1.5%
98.6 1
1.5%
98.91 1
1.5%
99.05 2
3.0%
99.1 1
1.5%
99.14 1
1.5%
99.18 1
1.5%
ValueCountFrequency (%)
111.01 1
1.5%
108.58 1
1.5%
108.56 1
1.5%
107.4 1
1.5%
107.34 1
1.5%
107.09 1
1.5%
106.28 1
1.5%
105.98 1
1.5%
105.56 1
1.5%
105.0 1
1.5%

2021-08
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.55672
Minimum96.18
Maximum111.85
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:11.722126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.18
5-th percentile98.6105
Q199.9075
median101.735
Q3104.2225
95-th percentile109.842
Maximum111.85
Range15.67
Interquartile range (IQR)4.315

Descriptive statistics

Standard deviation3.5257651
Coefficient of variation (CV)0.034378684
Kurtosis0.42223905
Mean102.55672
Median Absolute Deviation (MAD)2.03
Skewness0.97835053
Sum6563.63
Variance12.431019
MonotonicityNot monotonic
2023-12-12T09:53:11.933805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.77 1
 
1.5%
103.42 1
 
1.5%
98.49 1
 
1.5%
99.25 1
 
1.5%
101.21 1
 
1.5%
111.61 1
 
1.5%
98.91 1
 
1.5%
101.67 1
 
1.5%
101.13 1
 
1.5%
99.01 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
96.18 1
1.5%
98.49 1
1.5%
98.59 1
1.5%
98.6 1
1.5%
98.67 1
1.5%
98.91 1
1.5%
99.0 1
1.5%
99.01 1
1.5%
99.11 1
1.5%
99.25 1
1.5%
ValueCountFrequency (%)
111.85 1
1.5%
111.61 1
1.5%
110.36 1
1.5%
109.89 1
1.5%
109.57 1
1.5%
109.08 1
1.5%
108.07 1
1.5%
107.56 1
1.5%
106.99 1
1.5%
106.54 1
1.5%

2021-09
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.25094
Minimum95.94
Maximum112.73
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:12.150730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.94
5-th percentile98.6575
Q1100.2875
median102.125
Q3105.095
95-th percentile111.724
Maximum112.73
Range16.79
Interquartile range (IQR)4.8075

Descriptive statistics

Standard deviation4.0583211
Coefficient of variation (CV)0.039305417
Kurtosis-0.068260174
Mean103.25094
Median Absolute Deviation (MAD)2.345
Skewness0.83241123
Sum6608.06
Variance16.469971
MonotonicityNot monotonic
2023-12-12T09:53:12.381112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
102.05 1
 
1.5%
104.24 1
 
1.5%
98.47 1
 
1.5%
99.33 1
 
1.5%
101.35 1
 
1.5%
112.73 1
 
1.5%
98.91 1
 
1.5%
101.84 1
 
1.5%
101.21 1
 
1.5%
99.31 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
95.94 1
1.5%
98.47 1
1.5%
98.58 1
1.5%
98.65 1
1.5%
98.7 1
1.5%
98.82 1
1.5%
98.91 1
1.5%
99.31 1
1.5%
99.32 1
1.5%
99.33 1
1.5%
ValueCountFrequency (%)
112.73 1
1.5%
112.63 1
1.5%
111.79 1
1.5%
111.76 1
1.5%
111.52 1
1.5%
110.94 1
1.5%
109.92 1
1.5%
109.64 1
1.5%
108.46 1
1.5%
108.26 1
1.5%

2021-10
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.84391
Minimum95.59
Maximum113.83
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:12.610645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.59
5-th percentile98.7015
Q1100.405
median102.565
Q3105.995
95-th percentile113.176
Maximum113.83
Range18.24
Interquartile range (IQR)5.59

Descriptive statistics

Standard deviation4.5127764
Coefficient of variation (CV)0.043457306
Kurtosis-0.23554866
Mean103.84391
Median Absolute Deviation (MAD)2.71
Skewness0.77335988
Sum6646.01
Variance20.365151
MonotonicityNot monotonic
2023-12-12T09:53:12.806741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.98 2
 
3.0%
102.28 1
 
1.5%
105.29 1
 
1.5%
98.56 1
 
1.5%
99.52 1
 
1.5%
101.59 1
 
1.5%
113.83 1
 
1.5%
98.85 1
 
1.5%
101.83 1
 
1.5%
101.21 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
95.59 1
1.5%
98.56 1
1.5%
98.58 1
1.5%
98.7 1
1.5%
98.71 1
1.5%
98.85 1
1.5%
98.92 1
1.5%
99.5 1
1.5%
99.52 1
1.5%
99.65 1
1.5%
ValueCountFrequency (%)
113.83 1
1.5%
113.73 1
1.5%
113.53 1
1.5%
113.2 1
1.5%
113.04 1
1.5%
111.94 1
1.5%
111.27 1
1.5%
111.09 1
1.5%
109.99 1
1.5%
109.75 1
1.5%

2021-11
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.54812
Minimum95.29
Maximum115.66
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:13.063748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.29
5-th percentile98.6375
Q1100.5325
median103.31
Q3106.8775
95-th percentile115.26
Maximum115.66
Range20.37
Interquartile range (IQR)6.345

Descriptive statistics

Standard deviation5.1449941
Coefficient of variation (CV)0.04921173
Kurtosis-0.29510211
Mean104.54812
Median Absolute Deviation (MAD)3.245
Skewness0.76146278
Sum6691.08
Variance26.470965
MonotonicityNot monotonic
2023-12-12T09:53:13.291500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115.66 2
 
3.0%
100.59 1
 
1.5%
104.54 1
 
1.5%
106.37 1
 
1.5%
98.55 1
 
1.5%
99.71 1
 
1.5%
101.7 1
 
1.5%
115.65 1
 
1.5%
98.74 1
 
1.5%
101.81 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
95.29 1
1.5%
98.54 1
1.5%
98.55 1
1.5%
98.63 1
1.5%
98.68 1
1.5%
98.74 1
1.5%
98.98 1
1.5%
99.6 1
1.5%
99.66 1
1.5%
99.71 1
1.5%
ValueCountFrequency (%)
115.66 2
3.0%
115.65 1
1.5%
115.35 1
1.5%
114.75 1
1.5%
113.55 1
1.5%
113.19 1
1.5%
113.09 1
1.5%
111.71 1
1.5%
111.16 1
1.5%
109.87 1
1.5%

2021-12
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.98719
Minimum95.3
Maximum116.48
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:13.496648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.3
5-th percentile98.6275
Q1100.49
median103.67
Q3107.8675
95-th percentile116.159
Maximum116.48
Range21.18
Interquartile range (IQR)7.3775

Descriptive statistics

Standard deviation5.4854886
Coefficient of variation (CV)0.052249125
Kurtosis-0.44251728
Mean104.98719
Median Absolute Deviation (MAD)3.475
Skewness0.71600952
Sum6719.18
Variance30.090586
MonotonicityNot monotonic
2023-12-12T09:53:13.668017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.49 2
 
3.0%
102.98 2
 
3.0%
101.79 1
 
1.5%
116.18 1
 
1.5%
108.42 1
 
1.5%
107.31 1
 
1.5%
99.7 1
 
1.5%
101.16 1
 
1.5%
98.62 1
 
1.5%
104.02 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
95.3 1
1.5%
98.55 1
1.5%
98.56 1
1.5%
98.62 1
1.5%
98.67 1
1.5%
98.7 1
1.5%
98.9 1
1.5%
99.68 1
1.5%
99.7 1
1.5%
99.73 1
1.5%
ValueCountFrequency (%)
116.48 1
1.5%
116.45 1
1.5%
116.38 1
1.5%
116.18 1
1.5%
116.04 1
1.5%
114.29 1
1.5%
114.13 1
1.5%
114.08 1
1.5%
113.16 1
1.5%
111.94 1
1.5%

2022-01
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.12891
Minimum94.95
Maximum117.05
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:13.856979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.95
5-th percentile98.6175
Q1100.51
median103.96
Q3108.1725
95-th percentile116.4285
Maximum117.05
Range22.1
Interquartile range (IQR)7.6625

Descriptive statistics

Standard deviation5.6230812
Coefficient of variation (CV)0.053487488
Kurtosis-0.47410515
Mean105.12891
Median Absolute Deviation (MAD)3.64
Skewness0.68742557
Sum6728.25
Variance31.619042
MonotonicityNot monotonic
2023-12-12T09:53:14.050950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.05 2
 
3.0%
100.17 1
 
1.5%
107.68 1
 
1.5%
98.54 1
 
1.5%
99.78 1
 
1.5%
102.04 1
 
1.5%
116.69 1
 
1.5%
98.56 1
 
1.5%
101.69 1
 
1.5%
101.08 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.95 1
1.5%
98.54 1
1.5%
98.56 1
1.5%
98.61 1
1.5%
98.66 1
1.5%
98.72 1
1.5%
98.74 1
1.5%
99.37 1
1.5%
99.71 1
1.5%
99.78 1
1.5%
ValueCountFrequency (%)
117.05 1
1.5%
116.79 1
1.5%
116.69 1
1.5%
116.49 1
1.5%
116.08 1
1.5%
114.54 1
1.5%
114.47 1
1.5%
114.45 1
1.5%
113.52 1
1.5%
112.12 1
1.5%

2022-02
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.21016
Minimum94.93
Maximum117.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:14.240604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.93
5-th percentile98.516
Q1100.6225
median103.93
Q3108.4
95-th percentile116.4065
Maximum117.42
Range22.49
Interquartile range (IQR)7.7775

Descriptive statistics

Standard deviation5.7141908
Coefficient of variation (CV)0.054312159
Kurtosis-0.51574378
Mean105.21016
Median Absolute Deviation (MAD)3.635
Skewness0.66941018
Sum6733.45
Variance32.651976
MonotonicityNot monotonic
2023-12-12T09:53:14.422744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103.67 1
 
1.5%
107.89 1
 
1.5%
98.48 1
 
1.5%
99.66 1
 
1.5%
102.06 1
 
1.5%
116.92 1
 
1.5%
98.44 1
 
1.5%
101.67 1
 
1.5%
101.08 1
 
1.5%
99.13 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.93 1
1.5%
98.44 1
1.5%
98.48 1
1.5%
98.51 1
1.5%
98.55 1
1.5%
98.62 1
1.5%
98.77 1
1.5%
99.13 1
1.5%
99.66 1
1.5%
99.9 1
1.5%
ValueCountFrequency (%)
117.42 1
1.5%
116.92 1
1.5%
116.91 1
1.5%
116.45 1
1.5%
116.16 1
1.5%
114.73 1
1.5%
114.7 1
1.5%
114.69 1
1.5%
113.91 1
1.5%
112.25 1
1.5%

2022-03
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.33641
Minimum94.94
Maximum118.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:14.586149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.94
5-th percentile98.4225
Q1100.7125
median104.135
Q3108.63
95-th percentile116.551
Maximum118.04
Range23.1
Interquartile range (IQR)7.9175

Descriptive statistics

Standard deviation5.8029635
Coefficient of variation (CV)0.055089818
Kurtosis-0.55481985
Mean105.33641
Median Absolute Deviation (MAD)3.865
Skewness0.62920993
Sum6741.53
Variance33.674385
MonotonicityNot monotonic
2023-12-12T09:53:14.802262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108.63 2
 
3.0%
104.93 2
 
3.0%
116.62 1
 
1.5%
99.56 1
 
1.5%
108.46 1
 
1.5%
98.29 1
 
1.5%
99.65 1
 
1.5%
102.04 1
 
1.5%
116.92 1
 
1.5%
98.25 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.94 1
1.5%
98.25 1
1.5%
98.29 1
1.5%
98.4 1
1.5%
98.55 1
1.5%
98.58 1
1.5%
98.76 1
1.5%
98.98 1
1.5%
99.56 1
1.5%
99.65 1
1.5%
ValueCountFrequency (%)
118.04 1
1.5%
117.02 1
1.5%
116.92 1
1.5%
116.62 1
1.5%
116.16 1
1.5%
114.96 1
1.5%
114.91 1
1.5%
114.75 1
1.5%
114.29 1
1.5%
112.49 1
1.5%

2022-04
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.41828
Minimum94.9
Maximum118.52
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:14.986727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.9
5-th percentile98.2155
Q1100.81
median104.25
Q3108.8
95-th percentile116.56
Maximum118.52
Range23.62
Interquartile range (IQR)7.99

Descriptive statistics

Standard deviation5.8849781
Coefficient of variation (CV)0.055825024
Kurtosis-0.59102904
Mean105.41828
Median Absolute Deviation (MAD)4.07
Skewness0.59158472
Sum6746.77
Variance34.632967
MonotonicityNot monotonic
2023-12-12T09:53:15.181912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101.46 2
 
3.0%
99.25 1
 
1.5%
108.83 1
 
1.5%
98.06 1
 
1.5%
99.59 1
 
1.5%
102.1 1
 
1.5%
116.88 1
 
1.5%
98.01 1
 
1.5%
101.59 1
 
1.5%
101.05 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.9 1
1.5%
98.01 1
1.5%
98.06 1
1.5%
98.19 1
1.5%
98.36 1
1.5%
98.39 1
1.5%
98.84 1
1.5%
98.88 1
1.5%
99.25 1
1.5%
99.59 1
1.5%
ValueCountFrequency (%)
118.52 1
1.5%
117.08 1
1.5%
116.88 1
1.5%
116.65 1
1.5%
116.05 1
1.5%
115.2 1
1.5%
115.1 1
1.5%
114.75 1
1.5%
114.73 1
1.5%
112.62 1
1.5%

2022-05
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.49187
Minimum94.9
Maximum118.51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:15.392905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.9
5-th percentile98.006
Q1100.9025
median104.395
Q3109.0525
95-th percentile116.665
Maximum118.51
Range23.61
Interquartile range (IQR)8.15

Descriptive statistics

Standard deviation5.937005
Coefficient of variation (CV)0.056279263
Kurtosis-0.64509295
Mean105.49187
Median Absolute Deviation (MAD)4.21
Skewness0.55119907
Sum6751.48
Variance35.248028
MonotonicityNot monotonic
2023-12-12T09:53:15.602784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107.37 2
 
3.0%
116.8 2
 
3.0%
103.31 1
 
1.5%
105.49 1
 
1.5%
109.33 1
 
1.5%
97.8 1
 
1.5%
99.57 1
 
1.5%
102.07 1
 
1.5%
97.83 1
 
1.5%
101.48 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.9 1
1.5%
97.8 1
1.5%
97.83 1
1.5%
97.97 1
1.5%
98.21 1
1.5%
98.61 1
1.5%
98.63 1
1.5%
98.86 1
1.5%
99.13 1
1.5%
99.57 1
1.5%
ValueCountFrequency (%)
118.51 1
1.5%
117.18 1
1.5%
116.8 2
3.0%
115.9 1
1.5%
115.37 1
1.5%
115.22 1
1.5%
115.03 1
1.5%
114.68 1
1.5%
112.89 1
1.5%
112.44 1
1.5%

2022-06
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.5375
Minimum94.9
Maximum118.44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:15.799894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.9
5-th percentile97.911
Q1100.815
median104.57
Q3109.31
95-th percentile116.665
Maximum118.44
Range23.54
Interquartile range (IQR)8.495

Descriptive statistics

Standard deviation5.9892788
Coefficient of variation (CV)0.056750243
Kurtosis-0.6912682
Mean105.5375
Median Absolute Deviation (MAD)4.125
Skewness0.52417546
Sum6754.4
Variance35.87146
MonotonicityNot monotonic
2023-12-12T09:53:16.040809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.4 1
 
1.5%
109.78 1
 
1.5%
97.66 1
 
1.5%
99.49 1
 
1.5%
102.01 1
 
1.5%
116.8 1
 
1.5%
97.69 1
 
1.5%
101.32 1
 
1.5%
100.82 1
 
1.5%
98.51 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.9 1
1.5%
97.66 1
1.5%
97.69 1
1.5%
97.86 1
1.5%
98.2 1
1.5%
98.51 1
1.5%
98.79 1
1.5%
98.86 1
1.5%
98.91 1
1.5%
99.49 1
1.5%
ValueCountFrequency (%)
118.44 1
1.5%
117.25 1
1.5%
116.85 1
1.5%
116.8 1
1.5%
115.9 1
1.5%
115.5 1
1.5%
115.32 1
1.5%
115.24 1
1.5%
114.69 1
1.5%
113.26 1
1.5%

2022-07
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.52609
Minimum94.81
Maximum118.38
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:16.233928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.81
5-th percentile97.7855
Q1100.6975
median104.805
Q3109.4375
95-th percentile116.433
Maximum118.38
Range23.57
Interquartile range (IQR)8.74

Descriptive statistics

Standard deviation6.0299026
Coefficient of variation (CV)0.057141342
Kurtosis-0.72661097
Mean105.52609
Median Absolute Deviation (MAD)4.445
Skewness0.49724193
Sum6753.67
Variance36.359726
MonotonicityNot monotonic
2023-12-12T09:53:16.424034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.63 1
 
1.5%
109.86 1
 
1.5%
97.51 1
 
1.5%
99.36 1
 
1.5%
101.68 1
 
1.5%
116.55 1
 
1.5%
97.59 1
 
1.5%
101.19 1
 
1.5%
100.45 1
 
1.5%
98.23 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.81 1
1.5%
97.51 1
1.5%
97.59 1
1.5%
97.73 1
1.5%
98.1 1
1.5%
98.23 1
1.5%
98.72 1
1.5%
98.82 1
1.5%
98.83 1
1.5%
99.36 1
1.5%
ValueCountFrequency (%)
118.38 1
1.5%
117.38 1
1.5%
116.86 1
1.5%
116.55 1
1.5%
115.77 1
1.5%
115.59 1
1.5%
115.36 1
1.5%
115.35 1
1.5%
114.48 1
1.5%
113.47 1
1.5%

2022-08
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.48594
Minimum94.65
Maximum118.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:16.923853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.65
5-th percentile97.585
Q1100.6
median104.945
Q3109.49
95-th percentile116.3065
Maximum118.39
Range23.74
Interquartile range (IQR)8.89

Descriptive statistics

Standard deviation6.0638321
Coefficient of variation (CV)0.057484744
Kurtosis-0.74265996
Mean105.48594
Median Absolute Deviation (MAD)4.615
Skewness0.47254309
Sum6751.1
Variance36.770059
MonotonicityNot monotonic
2023-12-12T09:53:17.086919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.88 1
 
1.5%
109.89 1
 
1.5%
97.24 1
 
1.5%
99.18 1
 
1.5%
101.73 1
 
1.5%
116.38 1
 
1.5%
97.39 1
 
1.5%
100.9 1
 
1.5%
100.18 1
 
1.5%
98.03 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.65 1
1.5%
97.24 1
1.5%
97.39 1
1.5%
97.51 1
1.5%
98.01 1
1.5%
98.03 1
1.5%
98.65 1
1.5%
98.75 1
1.5%
98.81 1
1.5%
99.18 1
1.5%
ValueCountFrequency (%)
118.39 1
1.5%
117.37 1
1.5%
116.66 1
1.5%
116.38 1
1.5%
115.89 1
1.5%
115.6 1
1.5%
115.39 1
1.5%
115.32 1
1.5%
114.33 1
1.5%
113.51 1
1.5%

2022-09
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.3875
Minimum94.44
Maximum118.32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:17.248132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.44
5-th percentile97.29
Q1100.455
median104.955
Q3109.495
95-th percentile116.4085
Maximum118.32
Range23.88
Interquartile range (IQR)9.04

Descriptive statistics

Standard deviation6.142904
Coefficient of variation (CV)0.058288735
Kurtosis-0.76082994
Mean105.3875
Median Absolute Deviation (MAD)4.605
Skewness0.4543878
Sum6744.8
Variance37.73527
MonotonicityNot monotonic
2023-12-12T09:53:17.391069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.92 1
 
1.5%
109.89 1
 
1.5%
96.92 1
 
1.5%
98.92 1
 
1.5%
101.53 1
 
1.5%
116.41 1
 
1.5%
97.22 1
 
1.5%
100.72 1
 
1.5%
99.95 1
 
1.5%
97.63 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.44 1
1.5%
96.92 1
1.5%
97.22 1
1.5%
97.23 1
1.5%
97.63 1
1.5%
97.69 1
1.5%
98.57 1
1.5%
98.59 1
1.5%
98.62 1
1.5%
98.71 1
1.5%
ValueCountFrequency (%)
118.32 1
1.5%
117.21 1
1.5%
116.49 1
1.5%
116.41 1
1.5%
116.4 1
1.5%
115.51 1
1.5%
115.38 1
1.5%
115.26 1
1.5%
114.35 1
1.5%
113.6 1
1.5%

2022-10
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean105.20109
Minimum94.37
Maximum117.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:17.536639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.37
5-th percentile97.0635
Q1100.2875
median104.87
Q3109.39
95-th percentile116.0515
Maximum117.81
Range23.44
Interquartile range (IQR)9.1025

Descriptive statistics

Standard deviation6.121722
Coefficient of variation (CV)0.058190668
Kurtosis-0.800093
Mean105.20109
Median Absolute Deviation (MAD)4.62
Skewness0.42744491
Sum6732.87
Variance37.47548
MonotonicityNot monotonic
2023-12-12T09:53:17.672330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.91 1
 
1.5%
109.8 1
 
1.5%
96.58 1
 
1.5%
98.65 1
 
1.5%
101.36 1
 
1.5%
115.89 1
 
1.5%
97.02 1
 
1.5%
100.53 1
 
1.5%
99.57 1
 
1.5%
97.31 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.37 1
1.5%
96.58 1
1.5%
96.96 1
1.5%
97.02 1
1.5%
97.31 1
1.5%
97.57 1
1.5%
98.35 1
1.5%
98.42 1
1.5%
98.44 1
1.5%
98.47 1
1.5%
ValueCountFrequency (%)
117.81 1
1.5%
116.92 1
1.5%
116.32 1
1.5%
116.08 1
1.5%
115.89 1
1.5%
115.29 1
1.5%
115.28 1
1.5%
114.98 1
1.5%
113.91 1
1.5%
113.45 1
1.5%

2022-11
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.94609
Minimum94.16
Maximum117.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:17.821632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.16
5-th percentile96.8215
Q1100.045
median104.72
Q3109.2025
95-th percentile115.546
Maximum117.25
Range23.09
Interquartile range (IQR)9.1575

Descriptive statistics

Standard deviation6.1104832
Coefficient of variation (CV)0.058224971
Kurtosis-0.83174185
Mean104.94609
Median Absolute Deviation (MAD)4.715
Skewness0.39053172
Sum6716.55
Variance37.338005
MonotonicityNot monotonic
2023-12-12T09:53:18.002479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.27 2
 
3.0%
101.13 2
 
3.0%
105.49 1
 
1.5%
95.89 1
 
1.5%
98.18 1
 
1.5%
101.16 1
 
1.5%
115.41 1
 
1.5%
96.82 1
 
1.5%
100.22 1
 
1.5%
99.1 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
94.16 1
1.5%
95.89 1
1.5%
96.45 1
1.5%
96.82 1
1.5%
96.83 1
1.5%
97.33 1
1.5%
98.11 1
1.5%
98.18 1
1.5%
98.19 1
1.5%
98.27 2
3.0%
ValueCountFrequency (%)
117.25 1
1.5%
116.7 1
1.5%
115.8 1
1.5%
115.57 1
1.5%
115.41 1
1.5%
115.05 1
1.5%
115.02 1
1.5%
114.71 1
1.5%
113.51 1
1.5%
113.26 1
1.5%

2022-12
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.61313
Minimum93.91
Maximum116.86
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:18.201550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.91
5-th percentile96.185
Q199.745
median104.505
Q3108.9375
95-th percentile114.8245
Maximum116.86
Range22.95
Interquartile range (IQR)9.1925

Descriptive statistics

Standard deviation6.0815531
Coefficient of variation (CV)0.058133749
Kurtosis-0.87329552
Mean104.61313
Median Absolute Deviation (MAD)4.7
Skewness0.33941774
Sum6695.24
Variance36.985288
MonotonicityNot monotonic
2023-12-12T09:53:18.489753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99.89 2
 
3.0%
103.59 1
 
1.5%
109.54 1
 
1.5%
95.29 1
 
1.5%
97.69 1
 
1.5%
100.97 1
 
1.5%
114.46 1
 
1.5%
96.44 1
 
1.5%
98.47 1
 
1.5%
96.14 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
93.91 1
1.5%
95.29 1
1.5%
95.94 1
1.5%
96.14 1
1.5%
96.44 1
1.5%
96.83 1
1.5%
97.69 1
1.5%
97.73 1
1.5%
97.93 1
1.5%
97.94 1
1.5%
ValueCountFrequency (%)
116.86 1
1.5%
116.21 1
1.5%
115.05 1
1.5%
114.85 1
1.5%
114.68 1
1.5%
114.67 1
1.5%
114.46 1
1.5%
114.24 1
1.5%
113.06 1
1.5%
112.71 1
1.5%

2023-01
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean104.21547
Minimum93.55
Maximum116.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:18.720438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.55
5-th percentile95.679
Q199.0975
median104.245
Q3108.6775
95-th percentile114.203
Maximum116.6
Range23.05
Interquartile range (IQR)9.58

Descriptive statistics

Standard deviation6.0876229
Coefficient of variation (CV)0.058413813
Kurtosis-0.92384916
Mean104.21547
Median Absolute Deviation (MAD)4.905
Skewness0.28401944
Sum6669.79
Variance37.059152
MonotonicityNot monotonic
2023-12-12T09:53:18.982397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100.75 2
 
3.0%
113.98 2
 
3.0%
101.68 2
 
3.0%
97.09 1
 
1.5%
116.6 1
 
1.5%
106.88 1
 
1.5%
105.03 1
 
1.5%
95.64 1
 
1.5%
99.18 1
 
1.5%
97.47 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
93.55 1
1.5%
94.71 1
1.5%
95.4 1
1.5%
95.64 1
1.5%
95.9 1
1.5%
96.25 1
1.5%
96.98 1
1.5%
97.09 1
1.5%
97.37 1
1.5%
97.47 1
1.5%
ValueCountFrequency (%)
116.6 1
1.5%
115.25 1
1.5%
114.25 1
1.5%
114.23 1
1.5%
114.05 1
1.5%
113.98 2
3.0%
113.66 1
1.5%
112.95 1
1.5%
112.26 1
1.5%
111.96 1
1.5%

2023-02
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.84734
Minimum93.08
Maximum116.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:19.195615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.08
5-th percentile95.279
Q198.6325
median104.085
Q3108.24
95-th percentile113.759
Maximum116.25
Range23.17
Interquartile range (IQR)9.6075

Descriptive statistics

Standard deviation6.0793836
Coefficient of variation (CV)0.058541542
Kurtosis-0.95414995
Mean103.84734
Median Absolute Deviation (MAD)5.15
Skewness0.2294787
Sum6646.23
Variance36.958906
MonotonicityNot monotonic
2023-12-12T09:53:19.465926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
113.19 2
 
3.0%
100.45 2
 
3.0%
97.08 1
 
1.5%
105.13 1
 
1.5%
109.43 1
 
1.5%
94.21 1
 
1.5%
97.04 1
 
1.5%
95.5 1
 
1.5%
98.7 1
 
1.5%
95.89 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
93.08 1
1.5%
94.21 1
1.5%
94.95 1
1.5%
95.24 1
1.5%
95.5 1
1.5%
95.89 1
1.5%
96.06 1
1.5%
96.1 1
1.5%
97.04 1
1.5%
97.08 1
1.5%
ValueCountFrequency (%)
116.25 1
1.5%
114.38 1
1.5%
114.17 1
1.5%
113.81 1
1.5%
113.47 1
1.5%
113.19 2
3.0%
113.04 1
1.5%
112.4 1
1.5%
111.67 1
1.5%
111.52 1
1.5%

2023-03
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.51437
Minimum92.77
Maximum116.03
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:19.701641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.77
5-th percentile94.9345
Q198.0975
median103.76
Q3107.8
95-th percentile113.3525
Maximum116.03
Range23.26
Interquartile range (IQR)9.7025

Descriptive statistics

Standard deviation6.1015793
Coefficient of variation (CV)0.05894427
Kurtosis-0.97222591
Mean103.51437
Median Absolute Deviation (MAD)5.255
Skewness0.20285724
Sum6624.92
Variance37.229269
MonotonicityNot monotonic
2023-12-12T09:53:19.949723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.38 1
 
1.5%
109.32 1
 
1.5%
93.84 1
 
1.5%
96.6 1
 
1.5%
100.18 1
 
1.5%
112.71 1
 
1.5%
95.21 1
 
1.5%
98.13 1
 
1.5%
95.13 1
 
1.5%
94.9 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
92.77 1
1.5%
93.84 1
1.5%
94.58 1
1.5%
94.9 1
1.5%
95.13 1
1.5%
95.21 1
1.5%
95.42 1
1.5%
95.56 1
1.5%
96.6 1
1.5%
96.66 1
1.5%
ValueCountFrequency (%)
116.03 1
1.5%
114.0 1
1.5%
113.83 1
1.5%
113.39 1
1.5%
113.14 1
1.5%
112.71 1
1.5%
112.68 1
1.5%
112.26 1
1.5%
112.16 1
1.5%
111.38 1
1.5%

2023-04
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean103.20234
Minimum92.31
Maximum115.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:20.215758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.31
5-th percentile94.6465
Q197.6775
median103.2
Q3107.6025
95-th percentile112.908
Maximum115.81
Range23.5
Interquartile range (IQR)9.925

Descriptive statistics

Standard deviation6.1186918
Coefficient of variation (CV)0.059288303
Kurtosis-0.97532743
Mean103.20234
Median Absolute Deviation (MAD)5.155
Skewness0.18395038
Sum6604.95
Variance37.43839
MonotonicityNot monotonic
2023-12-12T09:53:20.504311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.26 1
 
1.5%
109.26 1
 
1.5%
93.38 1
 
1.5%
96.19 1
 
1.5%
99.91 1
 
1.5%
112.23 1
 
1.5%
94.74 1
 
1.5%
97.69 1
 
1.5%
94.82 1
 
1.5%
94.63 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
92.31 1
1.5%
93.38 1
1.5%
94.13 1
1.5%
94.63 1
1.5%
94.74 1
1.5%
94.82 1
1.5%
95.1 1
1.5%
95.29 1
1.5%
96.19 1
1.5%
96.2 1
1.5%
ValueCountFrequency (%)
115.81 1
1.5%
113.7 1
1.5%
113.65 1
1.5%
112.92 1
1.5%
112.84 1
1.5%
112.36 1
1.5%
112.23 1
1.5%
111.99 1
1.5%
111.35 1
1.5%
111.07 1
1.5%

2023-05
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.93047
Minimum91.94
Maximum114.81
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:20.740484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.94
5-th percentile94.2385
Q197.43
median102.86
Q3107.6275
95-th percentile112.7305
Maximum114.81
Range22.87
Interquartile range (IQR)10.1975

Descriptive statistics

Standard deviation6.0991825
Coefficient of variation (CV)0.059255365
Kurtosis-1.0088025
Mean102.93047
Median Absolute Deviation (MAD)5.18
Skewness0.14709799
Sum6587.55
Variance37.200027
MonotonicityNot monotonic
2023-12-12T09:53:20.992891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.25 1
 
1.5%
109.21 1
 
1.5%
92.98 1
 
1.5%
96.0 1
 
1.5%
99.65 1
 
1.5%
111.58 1
 
1.5%
94.4 1
 
1.5%
97.2 1
 
1.5%
94.45 1
 
1.5%
94.21 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
91.94 1
1.5%
92.98 1
1.5%
93.75 1
1.5%
94.21 1
1.5%
94.4 1
1.5%
94.45 1
1.5%
94.78 1
1.5%
95.23 1
1.5%
95.78 1
1.5%
96.0 1
1.5%
ValueCountFrequency (%)
114.81 1
1.5%
113.64 1
1.5%
113.17 1
1.5%
112.78 1
1.5%
112.45 1
1.5%
111.92 1
1.5%
111.8 1
1.5%
111.58 1
1.5%
110.98 1
1.5%
110.69 1
1.5%

2023-06
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean102.72281
Minimum91.76
Maximum114.76
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-12T09:53:21.220632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.76
5-th percentile93.724
Q197.1875
median102.365
Q3107.4725
95-th percentile112.585
Maximum114.76
Range23
Interquartile range (IQR)10.285

Descriptive statistics

Standard deviation6.151264
Coefficient of variation (CV)0.059882161
Kurtosis-1.0027968
Mean102.72281
Median Absolute Deviation (MAD)5.18
Skewness0.14289051
Sum6574.26
Variance37.838049
MonotonicityNot monotonic
2023-12-12T09:53:21.418320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104.14 1
 
1.5%
109.2 1
 
1.5%
92.61 1
 
1.5%
95.74 1
 
1.5%
99.43 1
 
1.5%
110.72 1
 
1.5%
94.03 1
 
1.5%
96.54 1
 
1.5%
94.18 1
 
1.5%
93.67 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
91.76 1
1.5%
92.61 1
1.5%
93.41 1
1.5%
93.67 1
1.5%
94.03 1
1.5%
94.18 1
1.5%
94.52 1
1.5%
95.02 1
1.5%
95.53 1
1.5%
95.74 1
1.5%
ValueCountFrequency (%)
114.76 1
1.5%
113.86 1
1.5%
113.01 1
1.5%
112.63 1
1.5%
112.33 1
1.5%
111.76 1
1.5%
111.67 1
1.5%
110.89 1
1.5%
110.72 1
1.5%
110.54 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㎡이하99.9299.8999.7899.7899.6699.6299.5699.4899.4499.499.3699.3999.4599.5299.6899.87100.03100.14100.15100.18100.17100.15100.19100.23100.18100.1199.9699.7799.4799.1198.6998.3197.9897.6497.4497.19
1전국_40㎡초과 60㎡이하100.0100.05100.1100.17100.22100.27100.49100.79101.01101.21101.45101.74102.0102.64103.31103.73104.44104.74104.87104.82104.93104.95105.07105.12105.2105.13104.99104.83104.62104.34103.88103.55103.2102.84102.6102.33
2전국_60㎡초과 85㎡이하100.06100.24100.4100.63100.82101.11101.46101.98102.54102.96103.55104.14104.74105.94107.17108.27109.45110.14110.3110.33110.46110.49110.57110.58110.51110.42110.29110.09109.75109.29108.73108.22107.69107.15106.63106.47
3전국_85㎡초과100.15100.37100.59100.73101.15101.57102.05102.6103.14103.79104.33105.36106.28108.07109.92111.27113.19114.13114.47114.7114.91115.1115.22115.32115.35115.32115.26114.98114.71114.24113.66113.04112.68112.36111.92111.67
4수도권_40㎡이하99.9399.9499.8699.8699.7799.7599.799.6199.5899.5599.599.5799.6599.7399.93100.15100.36100.49100.52100.57100.6100.63100.73100.8100.78100.74100.62100.46100.299.8999.599.1398.8198.598.3498.12
5수도권_40㎡초과 60㎡이하100.0100.09100.13100.23100.32100.41100.69101.09101.41101.6101.9102.28102.6103.38104.2104.69105.55105.92106.08106.04106.19106.23106.4106.49106.61106.57106.47106.34106.16105.92105.45105.15104.82104.47104.22103.96
6수도권_60㎡초과 85㎡이하100.09100.32100.55100.82101.03101.37101.78102.37103.06103.5104.19104.85105.56106.99108.46109.75111.16111.94112.12112.13112.3112.33112.44112.46112.44112.32112.19111.99111.63111.12110.5109.96109.38108.78108.19108.05
7수도권_85㎡초과100.19100.34100.59100.74101.01101.28101.85102.37102.86103.62104.19105.23105.98107.56109.64111.09113.09114.08114.45114.69114.96115.2115.37115.5115.59115.6115.51115.29115.05114.67114.05113.47113.14112.84112.45112.33
8지방_40㎡이하99.8699.6899.4599.4499.2399.0998.9998.9498.8398.7498.7798.6898.698.6798.6598.798.6898.6798.6198.5598.498.1997.9797.8697.7397.5197.2396.9696.4595.9495.494.9594.5894.1393.7593.41
9지방_40㎡초과 60㎡이하99.9999.8999.9799.999.899.7199.6499.5699.3799.6599.699.5699.5899.6699.7399.88100.01100.04100.0599.9799.9199.8599.899.6999.5799.3999.1398.8898.5198.0997.6597.2596.896.4296.1895.9
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㎡이하99.699.2498.9199.0198.5598.0597.9697.7697.6597.1496.6796.596.596.1895.9495.5995.2995.394.9594.9394.9494.994.994.994.8194.6594.4494.3794.1693.9193.5593.0892.7792.3191.9491.76
57울산_40㎡초과 60㎡이하99.599.1999.5999.5999.5999.4298.6498.8798.6698.9798.9398.999.0599.098.798.7198.5498.5598.7498.7798.7698.8898.8698.8698.7298.6598.5798.3598.1197.7396.9896.195.5695.2995.2395.02
58울산_60㎡초과 85㎡이하99.899.6799.3498.8798.7298.4898.5298.4198.4598.7398.6998.9599.1899.78100.4101.19101.65101.9102.35102.48102.48102.48102.46102.41102.33102.27102.19102.1101.92101.8101.68101.59101.26100.95100.74100.46
59울산_85㎡초과99.8299.9199.3899.5899.78100.15100.53100.76101.28101.45101.61101.77102.11103.04104.92106.22108.67109.56110.49110.8110.8110.8110.73110.64110.75110.82110.96110.74110.63110.59110.48110.24110.15109.84109.82109.62
60세종_40㎡이하100.0100.58101.01101.07101.07100.72100.37100.37100.52100.66100.66100.66100.83100.9101.11101.18101.22101.46101.46101.46101.43101.46101.46101.46101.39101.34101.3101.21101.21101.21101.14101.09100.92100.73100.36100.05
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㎡이하99.8899.8499.7199.6999.6299.6499.4699.2499.1599.199.0799.1199.199.1199.3299.599.6699.6899.7199.999.8699.8699.9499.9999.9299.8999.8299.799.4599.1598.6598.1997.8497.5297.497.18
63경기_40㎡초과 60㎡이하100.06100.24100.4100.64100.92101.2101.83102.46103.12103.29103.63104.05104.39105.04105.79105.98106.81107.11107.2107.1107.08107.11107.37107.5107.69107.54107.38107.23107.03106.77106.1105.63105.21104.87104.59104.45
64경기_60㎡초과 85㎡이하100.12100.5100.88101.29101.54101.96102.69103.82104.97105.5106.7107.66108.58110.36111.79113.53115.66116.38116.49116.45116.62116.65116.8116.85116.86116.66116.49116.32115.8115.05113.98113.19112.26111.35110.69110.54
65경기_85㎡초과100.07100.26100.53100.61101.03101.35102.34103.0103.71104.79105.25106.68107.4109.08111.76113.2115.66116.45116.79116.91117.02117.08117.18117.25117.38117.37117.21116.92116.7116.21115.25114.38114.0113.7113.17113.01