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 매매가격 대비 전세가격 데이터입니다. - (단위 : %) - 공표시기 : 조사 다음달 15일(휴일인 경우 그 다음날)
URLhttps://www.data.go.kr/data/15048321/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 15:17:40.669296
Analysis finished2023-12-12 15:17:41.010125
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
2023-12-13T00:17:41.200330image/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%
2023-12-13T00:17:41.612541image/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 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.265781
Minimum61.27
Maximum91.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:41.762149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.27
5-th percentile68.9435
Q176.595
median80.18
Q383.045
95-th percentile87.64
Maximum91.09
Range29.82
Interquartile range (IQR)6.45

Descriptive statistics

Standard deviation5.9411435
Coefficient of variation (CV)0.074952186
Kurtosis0.29386955
Mean79.265781
Median Absolute Deviation (MAD)3.42
Skewness-0.67724037
Sum5073.01
Variance35.297187
MonotonicityNot monotonic
2023-12-13T00:17:41.918965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
87.8 2
 
3.0%
82.93 1
 
1.5%
74.59 1
 
1.5%
69.15 1
 
1.5%
80.55 1
 
1.5%
78.75 1
 
1.5%
78.27 1
 
1.5%
68.24 1
 
1.5%
81.64 1
 
1.5%
78.43 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.27 1
1.5%
68.24 1
1.5%
68.81 1
1.5%
68.93 1
1.5%
69.02 1
1.5%
69.15 1
1.5%
69.99 1
1.5%
70.05 1
1.5%
70.88 1
1.5%
71.49 1
1.5%
ValueCountFrequency (%)
91.09 1
1.5%
87.8 2
3.0%
87.76 1
1.5%
86.96 1
1.5%
86.62 1
1.5%
85.87 1
1.5%
85.74 1
1.5%
85.57 1
1.5%
84.88 1
1.5%
84.84 1
1.5%

2020-08
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.305938
Minimum61.29
Maximum91.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:42.094520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.29
5-th percentile68.82
Q176.5725
median80.37
Q383.115
95-th percentile87.7635
Maximum91.12
Range29.83
Interquartile range (IQR)6.5425

Descriptive statistics

Standard deviation5.9846573
Coefficient of variation (CV)0.075462916
Kurtosis0.26693196
Mean79.305938
Median Absolute Deviation (MAD)3.475
Skewness-0.67645179
Sum5075.58
Variance35.816123
MonotonicityNot monotonic
2023-12-13T00:17:42.269677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.93 1
 
1.5%
69.18 1
 
1.5%
80.72 1
 
1.5%
78.85 1
 
1.5%
78.15 1
 
1.5%
67.97 1
 
1.5%
81.7 1
 
1.5%
78.52 1
 
1.5%
81.5 1
 
1.5%
85.93 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.29 1
1.5%
67.97 1
1.5%
68.78 1
1.5%
68.79 1
1.5%
68.99 1
1.5%
69.18 1
1.5%
69.82 1
1.5%
70.19 1
1.5%
70.96 1
1.5%
71.62 1
1.5%
ValueCountFrequency (%)
91.12 1
1.5%
88.02 1
1.5%
87.89 1
1.5%
87.87 1
1.5%
87.16 1
1.5%
86.5 1
1.5%
85.93 1
1.5%
85.91 1
1.5%
85.69 1
1.5%
84.97 1
1.5%

2020-09
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.387812
Minimum61.29
Maximum91.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:42.418594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.29
5-th percentile68.757
Q176.56
median80.39
Q383.3325
95-th percentile87.9795
Maximum91.13
Range29.84
Interquartile range (IQR)6.7725

Descriptive statistics

Standard deviation6.0332861
Coefficient of variation (CV)0.075997636
Kurtosis0.2461043
Mean79.387812
Median Absolute Deviation (MAD)3.555
Skewness-0.67080544
Sum5080.82
Variance36.400541
MonotonicityNot monotonic
2023-12-13T00:17:42.557128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.81 2
 
3.0%
80.77 2
 
3.0%
81.6 1
 
1.5%
84.39 1
 
1.5%
80.94 1
 
1.5%
85.01 1
 
1.5%
88.18 1
 
1.5%
86.18 1
 
1.5%
78.66 1
 
1.5%
79.29 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.29 1
1.5%
67.91 1
1.5%
68.69 1
1.5%
68.73 1
1.5%
68.91 1
1.5%
69.19 1
1.5%
69.83 1
1.5%
70.27 1
1.5%
71.15 1
1.5%
71.92 1
1.5%
ValueCountFrequency (%)
91.13 1
1.5%
88.18 1
1.5%
88.13 1
1.5%
88.08 1
1.5%
87.41 1
1.5%
86.64 1
1.5%
86.18 1
1.5%
86.06 1
1.5%
85.89 1
1.5%
85.15 1
1.5%

2020-10
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.474375
Minimum61.29
Maximum91.27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:42.721251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.29
5-th percentile68.8705
Q176.64
median80.46
Q383.46
95-th percentile88.168
Maximum91.27
Range29.98
Interquartile range (IQR)6.82

Descriptive statistics

Standard deviation6.0427931
Coefficient of variation (CV)0.076034484
Kurtosis0.2834272
Mean79.474375
Median Absolute Deviation (MAD)3.56
Skewness-0.67245808
Sum5086.36
Variance36.515349
MonotonicityNot monotonic
2023-12-13T00:17:42.899702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.99 1
 
1.5%
69.12 1
 
1.5%
80.95 1
 
1.5%
78.94 1
 
1.5%
78.13 1
 
1.5%
67.88 1
 
1.5%
81.96 1
 
1.5%
78.85 1
 
1.5%
81.62 1
 
1.5%
86.38 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.29 1
1.5%
67.88 1
1.5%
68.58 1
1.5%
68.83 1
1.5%
69.1 1
1.5%
69.12 1
1.5%
69.79 1
1.5%
70.28 1
1.5%
71.19 1
1.5%
71.94 1
1.5%
ValueCountFrequency (%)
91.27 1
1.5%
88.3 1
1.5%
88.29 1
1.5%
88.27 1
1.5%
87.59 1
1.5%
86.63 1
1.5%
86.38 1
1.5%
86.15 1
1.5%
86.04 1
1.5%
85.29 1
1.5%

2020-11
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.650156
Minimum61.28
Maximum91.42
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:43.066071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.28
5-th percentile69.0605
Q176.7025
median80.73
Q383.6625
95-th percentile88.3365
Maximum91.42
Range30.14
Interquartile range (IQR)6.96

Descriptive statistics

Standard deviation6.0892855
Coefficient of variation (CV)0.07645039
Kurtosis0.30588923
Mean79.650156
Median Absolute Deviation (MAD)3.57
Skewness-0.68340846
Sum5097.61
Variance37.079398
MonotonicityNot monotonic
2023-12-13T00:17:43.295404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.55 2
 
3.0%
79.45 1
 
1.5%
81.01 1
 
1.5%
79.07 1
 
1.5%
78.3 1
 
1.5%
67.84 1
 
1.5%
82.61 1
 
1.5%
79.06 1
 
1.5%
81.6 1
 
1.5%
86.91 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.28 1
1.5%
67.84 1
1.5%
68.55 1
1.5%
69.02 1
1.5%
69.29 1
1.5%
69.36 1
1.5%
69.82 1
1.5%
70.28 1
1.5%
71.03 1
1.5%
71.9 1
1.5%
ValueCountFrequency (%)
91.42 1
1.5%
88.83 1
1.5%
88.55 1
1.5%
88.44 1
1.5%
87.75 1
1.5%
86.91 1
1.5%
86.72 1
1.5%
86.4 1
1.5%
86.24 1
1.5%
85.48 1
1.5%

2020-12
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.768125
Minimum61.26
Maximum91.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:43.460160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.26
5-th percentile69.221
Q176.77
median80.805
Q383.86
95-th percentile88.5685
Maximum91.87
Range30.61
Interquartile range (IQR)7.09

Descriptive statistics

Standard deviation6.1652245
Coefficient of variation (CV)0.077289325
Kurtosis0.32285062
Mean79.768125
Median Absolute Deviation (MAD)3.635
Skewness-0.66736702
Sum5105.16
Variance38.009993
MonotonicityNot monotonic
2023-12-13T00:17:43.633456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.12 2
 
3.0%
83.48 1
 
1.5%
74.88 1
 
1.5%
69.52 1
 
1.5%
79.39 1
 
1.5%
78.48 1
 
1.5%
67.44 1
 
1.5%
82.81 1
 
1.5%
79.23 1
 
1.5%
81.57 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.26 1
1.5%
67.44 1
1.5%
68.32 1
1.5%
69.17 1
1.5%
69.51 1
1.5%
69.52 1
1.5%
69.58 1
1.5%
70.3 1
1.5%
71.19 1
1.5%
71.97 1
1.5%
ValueCountFrequency (%)
91.87 1
1.5%
89.17 1
1.5%
88.97 1
1.5%
88.66 1
1.5%
88.05 1
1.5%
87.29 1
1.5%
86.77 1
1.5%
86.65 1
1.5%
86.48 1
1.5%
85.7 1
1.5%

2021-01
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.867188
Minimum61.31
Maximum92.37
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:43.799927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.31
5-th percentile69.2885
Q176.8425
median80.83
Q383.98
95-th percentile88.8875
Maximum92.37
Range31.06
Interquartile range (IQR)7.1375

Descriptive statistics

Standard deviation6.2316648
Coefficient of variation (CV)0.078025344
Kurtosis0.303839
Mean79.867188
Median Absolute Deviation (MAD)3.555
Skewness-0.6343272
Sum5111.5
Variance38.833646
MonotonicityNot monotonic
2023-12-13T00:17:43.946939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.24 2
 
3.0%
82.51 1
 
1.5%
79.66 1
 
1.5%
74.85 1
 
1.5%
69.45 1
 
1.5%
81.29 1
 
1.5%
79.47 1
 
1.5%
78.59 1
 
1.5%
67.5 1
 
1.5%
83.37 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.31 1
1.5%
67.5 1
1.5%
68.34 1
1.5%
69.26 1
1.5%
69.45 1
1.5%
69.53 1
1.5%
69.74 1
1.5%
70.27 1
1.5%
71.22 1
1.5%
71.76 1
1.5%
ValueCountFrequency (%)
92.37 1
1.5%
89.48 1
1.5%
89.47 1
1.5%
88.97 1
1.5%
88.42 1
1.5%
87.6 1
1.5%
86.9 1
1.5%
86.75 1
1.5%
86.66 1
1.5%
85.97 1
1.5%

2021-02
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.89125
Minimum61.25
Maximum92.57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:44.108649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.25
5-th percentile69.32
Q176.69
median80.77
Q383.86
95-th percentile89.0655
Maximum92.57
Range31.32
Interquartile range (IQR)7.17

Descriptive statistics

Standard deviation6.3114588
Coefficient of variation (CV)0.079000627
Kurtosis0.27735167
Mean79.89125
Median Absolute Deviation (MAD)3.565
Skewness-0.6123543
Sum5113.04
Variance39.834513
MonotonicityNot monotonic
2023-12-13T00:17:44.262030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.39 2
 
3.0%
69.32 2
 
3.0%
75.35 1
 
1.5%
86.99 1
 
1.5%
79.58 1
 
1.5%
78.47 1
 
1.5%
67.23 1
 
1.5%
83.8 1
 
1.5%
79.38 1
 
1.5%
81.71 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.25 1
1.5%
67.23 1
1.5%
68.07 1
1.5%
69.32 2
3.0%
69.57 1
1.5%
69.83 1
1.5%
70.25 1
1.5%
70.89 1
1.5%
71.8 1
1.5%
73.93 1
1.5%
ValueCountFrequency (%)
92.57 1
1.5%
89.7 1
1.5%
89.59 1
1.5%
89.13 1
1.5%
88.7 1
1.5%
88.17 1
1.5%
87.33 1
1.5%
86.99 1
1.5%
86.45 1
1.5%
86.19 1
1.5%

2021-03
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.909688
Minimum61.31
Maximum92.63
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:44.435531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.31
5-th percentile69.17
Q176.6775
median80.77
Q384.065
95-th percentile89.2365
Maximum92.63
Range31.32
Interquartile range (IQR)7.3875

Descriptive statistics

Standard deviation6.3380894
Coefficient of variation (CV)0.079315658
Kurtosis0.26398906
Mean79.909688
Median Absolute Deviation (MAD)3.545
Skewness-0.61020108
Sum5114.22
Variance40.171378
MonotonicityNot monotonic
2023-12-13T00:17:44.982816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.19 2
 
3.0%
80.1 1
 
1.5%
69.55 1
 
1.5%
81.47 1
 
1.5%
79.81 1
 
1.5%
78.56 1
 
1.5%
67.01 1
 
1.5%
84.08 1
 
1.5%
79.65 1
 
1.5%
81.8 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.31 1
1.5%
67.01 1
1.5%
68.05 1
1.5%
69.14 1
1.5%
69.34 1
1.5%
69.55 1
1.5%
69.87 1
1.5%
70.29 1
1.5%
70.72 1
1.5%
71.87 1
1.5%
ValueCountFrequency (%)
92.63 1
1.5%
89.77 1
1.5%
89.74 1
1.5%
89.31 1
1.5%
88.82 1
1.5%
88.08 1
1.5%
87.31 1
1.5%
87.07 1
1.5%
86.28 1
1.5%
86.2 1
1.5%

2021-04
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.892812
Minimum61.38
Maximum92.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:45.187104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.38
5-th percentile69.1765
Q176.565
median80.8
Q384.0925
95-th percentile89.3365
Maximum92.59
Range31.21
Interquartile range (IQR)7.5275

Descriptive statistics

Standard deviation6.3463809
Coefficient of variation (CV)0.079436194
Kurtosis0.22802581
Mean79.892812
Median Absolute Deviation (MAD)3.53
Skewness-0.60248698
Sum5113.14
Variance40.276551
MonotonicityNot monotonic
2023-12-13T00:17:45.401941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.65 2
 
3.0%
83.34 1
 
1.5%
74.48 1
 
1.5%
69.5 1
 
1.5%
79.36 1
 
1.5%
78.33 1
 
1.5%
67.02 1
 
1.5%
84.2 1
 
1.5%
79.78 1
 
1.5%
81.78 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.38 1
1.5%
67.02 1
1.5%
67.89 1
1.5%
69.16 1
1.5%
69.27 1
1.5%
69.5 1
1.5%
69.79 1
1.5%
70.26 1
1.5%
70.86 1
1.5%
71.95 1
1.5%
ValueCountFrequency (%)
92.59 1
1.5%
89.74 1
1.5%
89.48 1
1.5%
89.41 1
1.5%
88.92 1
1.5%
87.97 1
1.5%
87.32 1
1.5%
87.16 1
1.5%
86.37 1
1.5%
86.22 1
1.5%

2021-05
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.867813
Minimum61.4
Maximum92.59
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:45.587241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.4
5-th percentile69.0465
Q176.625
median80.59
Q384.0425
95-th percentile89.041
Maximum92.59
Range31.19
Interquartile range (IQR)7.4175

Descriptive statistics

Standard deviation6.3883956
Coefficient of variation (CV)0.079987111
Kurtosis0.19556216
Mean79.867813
Median Absolute Deviation (MAD)3.735
Skewness-0.6102399
Sum5111.54
Variance40.811598
MonotonicityNot monotonic
2023-12-13T00:17:45.766141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.43 2
 
3.0%
79.98 1
 
1.5%
81.67 1
 
1.5%
79.4 1
 
1.5%
78.33 1
 
1.5%
67.01 1
 
1.5%
84.33 1
 
1.5%
79.84 1
 
1.5%
81.85 1
 
1.5%
87.7 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.4 1
1.5%
67.01 1
1.5%
67.56 1
1.5%
69.03 1
1.5%
69.14 1
1.5%
69.44 1
1.5%
69.45 1
1.5%
70.24 1
1.5%
70.43 1
1.5%
71.88 1
1.5%
ValueCountFrequency (%)
92.59 1
1.5%
89.73 1
1.5%
89.64 1
1.5%
89.05 1
1.5%
88.99 1
1.5%
87.7 1
1.5%
87.53 1
1.5%
87.22 1
1.5%
86.44 1
1.5%
86.07 1
1.5%

2021-06
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.841406
Minimum61.32
Maximum92.67
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:45.981581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.32
5-th percentile68.6815
Q176.6825
median80.555
Q383.845
95-th percentile89.052
Maximum92.67
Range31.35
Interquartile range (IQR)7.1625

Descriptive statistics

Standard deviation6.4531382
Coefficient of variation (CV)0.080824456
Kurtosis0.19549782
Mean79.841406
Median Absolute Deviation (MAD)3.525
Skewness-0.62696017
Sum5109.85
Variance41.642993
MonotonicityNot monotonic
2023-12-13T00:17:46.188845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.95 2
 
3.0%
83.13 1
 
1.5%
74.31 1
 
1.5%
69.48 1
 
1.5%
81.76 1
 
1.5%
79.54 1
 
1.5%
78.31 1
 
1.5%
66.41 1
 
1.5%
84.41 1
 
1.5%
81.85 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.32 1
1.5%
66.41 1
1.5%
67.42 1
1.5%
68.65 1
1.5%
68.86 1
1.5%
69.17 1
1.5%
69.48 1
1.5%
70.23 1
1.5%
70.55 1
1.5%
71.65 1
1.5%
ValueCountFrequency (%)
92.67 1
1.5%
89.77 1
1.5%
89.69 1
1.5%
89.13 1
1.5%
88.61 1
1.5%
87.81 1
1.5%
87.54 1
1.5%
87.32 1
1.5%
86.53 1
1.5%
85.96 1
1.5%

2021-07
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.792344
Minimum61.31
Maximum92.68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:46.426624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.31
5-th percentile68.5775
Q176.5975
median80.545
Q383.8325
95-th percentile89.132
Maximum92.68
Range31.37
Interquartile range (IQR)7.235

Descriptive statistics

Standard deviation6.49125
Coefficient of variation (CV)0.08135179
Kurtosis0.16312001
Mean79.792344
Median Absolute Deviation (MAD)3.625
Skewness-0.62416621
Sum5106.71
Variance42.136326
MonotonicityNot monotonic
2023-12-13T00:17:46.639539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
84.5 2
 
3.0%
83.0 1
 
1.5%
74.29 1
 
1.5%
69.36 1
 
1.5%
81.78 1
 
1.5%
79.53 1
 
1.5%
78.22 1
 
1.5%
66.38 1
 
1.5%
84.54 1
 
1.5%
80.28 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.31 1
1.5%
66.38 1
1.5%
67.38 1
1.5%
68.57 1
1.5%
68.62 1
1.5%
68.75 1
1.5%
69.36 1
1.5%
70.08 1
1.5%
70.46 1
1.5%
71.47 1
1.5%
ValueCountFrequency (%)
92.68 1
1.5%
89.86 1
1.5%
89.68 1
1.5%
89.3 1
1.5%
88.18 1
1.5%
87.61 1
1.5%
87.6 1
1.5%
87.41 1
1.5%
86.61 1
1.5%
86.04 1
1.5%

2021-08
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.704531
Minimum61.07
Maximum92.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:46.829736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.07
5-th percentile68.0865
Q176.29
median80.36
Q384.09
95-th percentile89.1955
Maximum92.69
Range31.62
Interquartile range (IQR)7.8

Descriptive statistics

Standard deviation6.6208756
Coefficient of variation (CV)0.083067744
Kurtosis0.12216256
Mean79.704531
Median Absolute Deviation (MAD)3.94
Skewness-0.61830457
Sum5101.09
Variance43.835993
MonotonicityNot monotonic
2023-12-13T00:17:47.036297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76.42 1
 
1.5%
69.11 1
 
1.5%
81.69 1
 
1.5%
79.53 1
 
1.5%
78.18 1
 
1.5%
65.76 1
 
1.5%
84.85 1
 
1.5%
80.35 1
 
1.5%
81.98 1
 
1.5%
88.0 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
61.07 1
1.5%
65.76 1
1.5%
67.17 1
1.5%
68.07 1
1.5%
68.18 1
1.5%
68.24 1
1.5%
69.11 1
1.5%
70.1 1
1.5%
70.5 1
1.5%
71.28 1
1.5%
ValueCountFrequency (%)
92.69 1
1.5%
90.07 1
1.5%
89.51 1
1.5%
89.38 1
1.5%
88.15 1
1.5%
88.0 1
1.5%
87.67 1
1.5%
87.57 1
1.5%
86.74 1
1.5%
86.23 1
1.5%

2021-09
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.558281
Minimum60.89
Maximum92.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:47.224257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.89
5-th percentile67.588
Q176.1175
median80.38
Q384.245
95-th percentile89.174
Maximum92.8
Range31.91
Interquartile range (IQR)8.1275

Descriptive statistics

Standard deviation6.7103832
Coefficient of variation (CV)0.084345503
Kurtosis0.062260569
Mean79.558281
Median Absolute Deviation (MAD)3.98
Skewness-0.58775888
Sum5091.73
Variance45.029243
MonotonicityNot monotonic
2023-12-13T00:17:47.403902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
83.3 2
 
3.0%
87.95 2
 
3.0%
79.82 1
 
1.5%
68.8 1
 
1.5%
81.66 1
 
1.5%
79.52 1
 
1.5%
78.18 1
 
1.5%
65.6 1
 
1.5%
85.05 1
 
1.5%
80.33 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.89 1
1.5%
65.6 1
1.5%
67.17 1
1.5%
67.57 1
1.5%
67.69 1
1.5%
67.93 1
1.5%
68.8 1
1.5%
70.09 1
1.5%
70.43 1
1.5%
71.2 1
1.5%
ValueCountFrequency (%)
92.8 1
1.5%
90.05 1
1.5%
89.65 1
1.5%
89.39 1
1.5%
87.95 2
3.0%
87.68 1
1.5%
87.65 1
1.5%
86.81 1
1.5%
86.2 1
1.5%
85.3 1
1.5%

2021-10
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.432187
Minimum60.79
Maximum92.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:47.576967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.79
5-th percentile67.0185
Q175.6325
median80.265
Q384.5175
95-th percentile89.1085
Maximum92.84
Range32.05
Interquartile range (IQR)8.885

Descriptive statistics

Standard deviation6.8194085
Coefficient of variation (CV)0.085851953
Kurtosis0.0010224141
Mean79.432187
Median Absolute Deviation (MAD)4.37
Skewness-0.56820995
Sum5083.66
Variance46.504332
MonotonicityNot monotonic
2023-12-13T00:17:47.778286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.28 2
 
3.0%
87.68 2
 
3.0%
68.48 1
 
1.5%
81.66 1
 
1.5%
79.4 1
 
1.5%
78.06 1
 
1.5%
65.24 1
 
1.5%
85.26 1
 
1.5%
80.39 1
 
1.5%
82.2 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.79 1
1.5%
65.24 1
1.5%
66.87 1
1.5%
66.99 1
1.5%
67.18 1
1.5%
67.6 1
1.5%
68.48 1
1.5%
70.08 1
1.5%
70.44 1
1.5%
71.22 1
1.5%
ValueCountFrequency (%)
92.84 1
1.5%
90.17 1
1.5%
89.68 1
1.5%
89.32 1
1.5%
87.91 1
1.5%
87.85 1
1.5%
87.68 2
3.0%
86.84 1
1.5%
86.24 1
1.5%
85.36 1
1.5%

2021-11
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.298125
Minimum60.8
Maximum92.99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:47.962982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.8
5-th percentile66.8515
Q175.12
median79.96
Q384.6775
95-th percentile89.161
Maximum92.99
Range32.19
Interquartile range (IQR)9.5575

Descriptive statistics

Standard deviation6.9348416
Coefficient of variation (CV)0.087452782
Kurtosis-0.082715291
Mean79.298125
Median Absolute Deviation (MAD)4.825
Skewness-0.53857352
Sum5075.08
Variance48.092028
MonotonicityNot monotonic
2023-12-13T00:17:48.154550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.9 1
 
1.5%
67.96 1
 
1.5%
81.7 1
 
1.5%
79.32 1
 
1.5%
78.13 1
 
1.5%
64.76 1
 
1.5%
85.4 1
 
1.5%
80.51 1
 
1.5%
82.23 1
 
1.5%
87.92 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.8 1
1.5%
64.76 1
1.5%
66.45 1
1.5%
66.82 1
1.5%
67.03 1
1.5%
67.14 1
1.5%
67.96 1
1.5%
70.14 1
1.5%
70.2 1
1.5%
71.13 1
1.5%
ValueCountFrequency (%)
92.99 1
1.5%
90.13 1
1.5%
89.77 1
1.5%
89.38 1
1.5%
87.92 1
1.5%
87.76 1
1.5%
87.72 1
1.5%
87.62 1
1.5%
86.89 1
1.5%
86.24 1
1.5%

2021-12
Real number (ℝ)

MISSING 

Distinct62
Distinct (%)96.9%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.21375
Minimum60.71
Maximum92.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:48.330520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.71
5-th percentile66.395
Q174.7475
median79.845
Q384.7625
95-th percentile89.4305
Maximum92.9
Range32.19
Interquartile range (IQR)10.015

Descriptive statistics

Standard deviation7.0431643
Coefficient of variation (CV)0.088913406
Kurtosis-0.11637394
Mean79.21375
Median Absolute Deviation (MAD)5.04
Skewness-0.53902284
Sum5069.68
Variance49.606163
MonotonicityNot monotonic
2023-12-13T00:17:48.524460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.98 2
 
3.0%
84.94 2
 
3.0%
84.89 1
 
1.5%
67.34 1
 
1.5%
81.74 1
 
1.5%
79.36 1
 
1.5%
78.07 1
 
1.5%
64.36 1
 
1.5%
85.6 1
 
1.5%
80.56 1
 
1.5%
Other values (52) 52
78.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.71 1
1.5%
64.36 1
1.5%
65.82 1
1.5%
66.32 1
1.5%
66.82 1
1.5%
67.12 1
1.5%
67.34 1
1.5%
70.08 1
1.5%
70.3 1
1.5%
71.1 1
1.5%
ValueCountFrequency (%)
92.9 1
1.5%
90.09 1
1.5%
89.89 1
1.5%
89.69 1
1.5%
87.96 1
1.5%
87.81 1
1.5%
87.76 1
1.5%
87.4 1
1.5%
86.94 1
1.5%
86.22 1
1.5%

2022-01
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.235781
Minimum60.74
Maximum92.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:48.733221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.74
5-th percentile66.3045
Q174.5325
median79.9
Q384.85
95-th percentile89.707
Maximum92.9
Range32.16
Interquartile range (IQR)10.3175

Descriptive statistics

Standard deviation7.103387
Coefficient of variation (CV)0.089648728
Kurtosis-0.14850589
Mean79.235781
Median Absolute Deviation (MAD)5.025
Skewness-0.5291263
Sum5071.09
Variance50.458107
MonotonicityNot monotonic
2023-12-13T00:17:48.890347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.37 2
 
3.0%
73.84 1
 
1.5%
67.32 1
 
1.5%
81.81 1
 
1.5%
79.38 1
 
1.5%
78.03 1
 
1.5%
64.21 1
 
1.5%
85.75 1
 
1.5%
80.66 1
 
1.5%
88.33 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.74 1
1.5%
64.21 1
1.5%
65.7 1
1.5%
66.24 1
1.5%
66.67 1
1.5%
67.05 1
1.5%
67.32 1
1.5%
70.08 1
1.5%
70.51 1
1.5%
71.1 1
1.5%
ValueCountFrequency (%)
92.9 1
1.5%
90.1 1
1.5%
89.99 1
1.5%
89.95 1
1.5%
88.33 1
1.5%
87.87 1
1.5%
87.85 1
1.5%
87.39 1
1.5%
87.03 1
1.5%
86.31 1
1.5%

2022-02
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.275
Minimum60.75
Maximum92.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:49.112007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.75
5-th percentile66.253
Q174.69
median79.86
Q384.9025
95-th percentile89.7505
Maximum92.9
Range32.15
Interquartile range (IQR)10.2125

Descriptive statistics

Standard deviation7.1142035
Coefficient of variation (CV)0.08974082
Kurtosis-0.12715087
Mean79.275
Median Absolute Deviation (MAD)5.07
Skewness-0.53753683
Sum5073.6
Variance50.611892
MonotonicityNot monotonic
2023-12-13T00:17:49.303829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.96 2
 
3.0%
80.15 1
 
1.5%
67.26 1
 
1.5%
81.75 1
 
1.5%
79.35 1
 
1.5%
78.05 1
 
1.5%
64.12 1
 
1.5%
85.85 1
 
1.5%
80.72 1
 
1.5%
82.37 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.75 1
1.5%
64.12 1
1.5%
65.63 1
1.5%
66.19 1
1.5%
66.61 1
1.5%
66.99 1
1.5%
67.26 1
1.5%
70.25 1
1.5%
70.55 1
1.5%
71.35 1
1.5%
ValueCountFrequency (%)
92.9 1
1.5%
90.21 1
1.5%
89.99 1
1.5%
89.98 1
1.5%
88.45 1
1.5%
87.95 1
1.5%
87.88 1
1.5%
87.35 1
1.5%
87.11 1
1.5%
86.44 1
1.5%

2022-03
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.295938
Minimum60.68
Maximum92.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:49.487085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.68
5-th percentile66.126
Q174.7475
median79.945
Q384.95
95-th percentile89.738
Maximum92.9
Range32.22
Interquartile range (IQR)10.2025

Descriptive statistics

Standard deviation7.1470018
Coefficient of variation (CV)0.090130743
Kurtosis-0.12496527
Mean79.295938
Median Absolute Deviation (MAD)5.035
Skewness-0.53995597
Sum5074.94
Variance51.079634
MonotonicityNot monotonic
2023-12-13T00:17:49.686272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
79.0 2
 
3.0%
75.73 2
 
3.0%
70.45 2
 
3.0%
84.95 2
 
3.0%
78.07 1
 
1.5%
64.2 1
 
1.5%
86.05 1
 
1.5%
78.82 1
 
1.5%
82.39 1
 
1.5%
79.16 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.68 1
1.5%
64.2 1
1.5%
65.48 1
1.5%
66.03 1
1.5%
66.67 1
1.5%
66.94 1
1.5%
67.0 1
1.5%
70.45 2
3.0%
71.35 1
1.5%
72.0 1
1.5%
ValueCountFrequency (%)
92.9 1
1.5%
90.31 1
1.5%
90.13 1
1.5%
89.96 1
1.5%
88.48 1
1.5%
88.06 1
1.5%
88.02 1
1.5%
87.28 1
1.5%
87.21 1
1.5%
86.53 1
1.5%

2022-04
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.289531
Minimum60.57
Maximum92.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:49.871635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.57
5-th percentile66.0395
Q174.8125
median79.84
Q384.95
95-th percentile89.67
Maximum92.95
Range32.38
Interquartile range (IQR)10.1375

Descriptive statistics

Standard deviation7.1770844
Coefficient of variation (CV)0.090517428
Kurtosis-0.12584246
Mean79.289531
Median Absolute Deviation (MAD)5.115
Skewness-0.533604
Sum5074.53
Variance51.510541
MonotonicityNot monotonic
2023-12-13T00:17:50.383832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.71 1
 
1.5%
66.9 1
 
1.5%
81.88 1
 
1.5%
79.19 1
 
1.5%
77.85 1
 
1.5%
64.2 1
 
1.5%
86.22 1
 
1.5%
80.8 1
 
1.5%
82.39 1
 
1.5%
88.65 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.57 1
1.5%
64.2 1
1.5%
65.34 1
1.5%
65.93 1
1.5%
66.66 1
1.5%
66.9 1
1.5%
66.98 1
1.5%
70.44 1
1.5%
70.61 1
1.5%
71.35 1
1.5%
ValueCountFrequency (%)
92.95 1
1.5%
90.38 1
1.5%
90.23 1
1.5%
89.85 1
1.5%
88.65 1
1.5%
88.12 1
1.5%
88.06 1
1.5%
87.34 1
1.5%
87.27 1
1.5%
86.56 1
1.5%

2022-05
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.283906
Minimum60.5
Maximum92.95
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:50.531781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.5
5-th percentile66.0165
Q174.8375
median79.78
Q384.9575
95-th percentile89.739
Maximum92.95
Range32.45
Interquartile range (IQR)10.12

Descriptive statistics

Standard deviation7.1854016
Coefficient of variation (CV)0.090628753
Kurtosis-0.13371515
Mean79.283906
Median Absolute Deviation (MAD)5.12
Skewness-0.52686032
Sum5074.17
Variance51.629996
MonotonicityNot monotonic
2023-12-13T00:17:50.716260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.44 2
 
3.0%
80.03 1
 
1.5%
66.8 1
 
1.5%
81.88 1
 
1.5%
79.16 1
 
1.5%
77.83 1
 
1.5%
64.38 1
 
1.5%
86.36 1
 
1.5%
80.86 1
 
1.5%
82.44 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.5 1
1.5%
64.38 1
1.5%
65.3 1
1.5%
65.88 1
1.5%
66.79 1
1.5%
66.8 1
1.5%
66.98 1
1.5%
70.37 1
1.5%
70.61 1
1.5%
71.35 1
1.5%
ValueCountFrequency (%)
92.95 1
1.5%
90.35 1
1.5%
90.3 1
1.5%
89.91 1
1.5%
88.77 1
1.5%
88.14 1
1.5%
87.9 1
1.5%
87.33 1
1.5%
87.3 1
1.5%
86.53 1
1.5%

2022-06
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.287344
Minimum60.45
Maximum93.02
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:50.906650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.45
5-th percentile65.9645
Q174.77
median79.715
Q385.0525
95-th percentile89.672
Maximum93.02
Range32.57
Interquartile range (IQR)10.2825

Descriptive statistics

Standard deviation7.2119423
Coefficient of variation (CV)0.090959565
Kurtosis-0.13727359
Mean79.287344
Median Absolute Deviation (MAD)5.175
Skewness-0.52710874
Sum5074.39
Variance52.012112
MonotonicityNot monotonic
2023-12-13T00:17:51.097063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
90.39 2
 
3.0%
75.81 1
 
1.5%
66.67 1
 
1.5%
81.9 1
 
1.5%
79.18 1
 
1.5%
77.89 1
 
1.5%
64.32 1
 
1.5%
86.39 1
 
1.5%
81.01 1
 
1.5%
82.51 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.45 1
1.5%
64.32 1
1.5%
65.27 1
1.5%
65.84 1
1.5%
66.67 1
1.5%
66.74 1
1.5%
66.97 1
1.5%
70.3 1
1.5%
70.67 1
1.5%
71.35 1
1.5%
ValueCountFrequency (%)
93.02 1
1.5%
90.39 2
3.0%
89.84 1
1.5%
88.72 1
1.5%
88.19 1
1.5%
87.89 1
1.5%
87.35 1
1.5%
87.34 1
1.5%
86.56 1
1.5%
86.39 1
1.5%

2022-07
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.299062
Minimum60.51
Maximum93.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:51.290833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.51
5-th percentile65.9715
Q174.6425
median79.79
Q384.9375
95-th percentile89.788
Maximum93.04
Range32.53
Interquartile range (IQR)10.295

Descriptive statistics

Standard deviation7.2421363
Coefficient of variation (CV)0.091326885
Kurtosis-0.159141
Mean79.299062
Median Absolute Deviation (MAD)5.155
Skewness-0.51951855
Sum5075.14
Variance52.448539
MonotonicityNot monotonic
2023-12-13T00:17:51.483775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.8 1
 
1.5%
66.72 1
 
1.5%
81.91 1
 
1.5%
79.17 1
 
1.5%
78.21 1
 
1.5%
64.24 1
 
1.5%
86.32 1
 
1.5%
81.0 1
 
1.5%
82.79 1
 
1.5%
88.87 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.51 1
1.5%
64.24 1
1.5%
65.27 1
1.5%
65.85 1
1.5%
66.66 1
1.5%
66.72 1
1.5%
66.97 1
1.5%
70.12 1
1.5%
70.65 1
1.5%
71.27 1
1.5%
ValueCountFrequency (%)
93.04 1
1.5%
90.54 1
1.5%
90.43 1
1.5%
89.95 1
1.5%
88.87 1
1.5%
88.29 1
1.5%
88.02 1
1.5%
87.42 1
1.5%
87.32 1
1.5%
86.62 1
1.5%

2022-08
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.2975
Minimum60.47
Maximum93.04
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:51.656665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.47
5-th percentile65.9785
Q174.555
median79.805
Q384.9725
95-th percentile89.8165
Maximum93.04
Range32.57
Interquartile range (IQR)10.4175

Descriptive statistics

Standard deviation7.2656306
Coefficient of variation (CV)0.091624964
Kurtosis-0.17837395
Mean79.2975
Median Absolute Deviation (MAD)5.255
Skewness-0.50887756
Sum5075.04
Variance52.789387
MonotonicityNot monotonic
2023-12-13T00:17:51.851115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.9 1
 
1.5%
66.7 1
 
1.5%
81.97 1
 
1.5%
79.19 1
 
1.5%
78.08 1
 
1.5%
64.25 1
 
1.5%
86.34 1
 
1.5%
81.07 1
 
1.5%
82.73 1
 
1.5%
88.89 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.47 1
1.5%
64.25 1
1.5%
65.29 1
1.5%
65.86 1
1.5%
66.65 1
1.5%
66.7 1
1.5%
67.0 1
1.5%
70.13 1
1.5%
70.67 1
1.5%
71.22 1
1.5%
ValueCountFrequency (%)
93.04 1
1.5%
90.68 1
1.5%
90.45 1
1.5%
89.98 1
1.5%
88.89 1
1.5%
88.38 1
1.5%
88.03 1
1.5%
87.5 1
1.5%
87.33 1
1.5%
86.68 1
1.5%

2022-09
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.302969
Minimum60.47
Maximum93.07
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:52.022598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.47
5-th percentile65.9925
Q174.5675
median79.84
Q385.0125
95-th percentile89.8595
Maximum93.07
Range32.6
Interquartile range (IQR)10.445

Descriptive statistics

Standard deviation7.2802755
Coefficient of variation (CV)0.091803316
Kurtosis-0.18967372
Mean79.302969
Median Absolute Deviation (MAD)5.275
Skewness-0.50381483
Sum5075.39
Variance53.002412
MonotonicityNot monotonic
2023-12-13T00:17:52.190092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.88 2
 
3.0%
73.84 1
 
1.5%
82.01 1
 
1.5%
79.25 1
 
1.5%
78.03 1
 
1.5%
64.22 1
 
1.5%
86.4 1
 
1.5%
81.13 1
 
1.5%
82.69 1
 
1.5%
88.95 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.47 1
1.5%
64.22 1
1.5%
65.35 1
1.5%
65.88 1
1.5%
66.63 1
1.5%
66.67 1
1.5%
67.0 1
1.5%
70.09 1
1.5%
70.62 1
1.5%
71.18 1
1.5%
ValueCountFrequency (%)
93.07 1
1.5%
90.72 1
1.5%
90.44 1
1.5%
90.02 1
1.5%
88.95 1
1.5%
88.42 1
1.5%
88.04 1
1.5%
87.54 1
1.5%
87.3 1
1.5%
86.71 1
1.5%

2022-10
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.309375
Minimum60.42
Maximum93.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:52.355915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.42
5-th percentile65.9755
Q174.545
median79.905
Q385.03
95-th percentile89.705
Maximum93.15
Range32.73
Interquartile range (IQR)10.485

Descriptive statistics

Standard deviation7.2830006
Coefficient of variation (CV)0.091830261
Kurtosis-0.17954235
Mean79.309375
Median Absolute Deviation (MAD)5.31
Skewness-0.50958572
Sum5075.8
Variance53.042098
MonotonicityNot monotonic
2023-12-13T00:17:52.545620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.83 1
 
1.5%
66.65 1
 
1.5%
82.01 1
 
1.5%
79.31 1
 
1.5%
78.02 1
 
1.5%
64.22 1
 
1.5%
86.47 1
 
1.5%
81.09 1
 
1.5%
82.71 1
 
1.5%
88.94 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.42 1
1.5%
64.22 1
1.5%
65.32 1
1.5%
65.86 1
1.5%
66.63 1
1.5%
66.65 1
1.5%
67.0 1
1.5%
69.92 1
1.5%
70.91 1
1.5%
71.17 1
1.5%
ValueCountFrequency (%)
93.15 1
1.5%
90.76 1
1.5%
90.45 1
1.5%
89.84 1
1.5%
88.94 1
1.5%
88.44 1
1.5%
87.98 1
1.5%
87.56 1
1.5%
87.12 1
1.5%
86.74 1
1.5%

2022-11
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.302812
Minimum60.4
Maximum93.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:52.716136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.4
5-th percentile65.9225
Q174.58
median79.93
Q384.9475
95-th percentile89.615
Maximum93.14
Range32.74
Interquartile range (IQR)10.3675

Descriptive statistics

Standard deviation7.2774421
Coefficient of variation (CV)0.091767768
Kurtosis-0.16198559
Mean79.302812
Median Absolute Deviation (MAD)5.26
Skewness-0.51365888
Sum5075.38
Variance52.961163
MonotonicityNot monotonic
2023-12-13T00:17:52.876536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.81 1
 
1.5%
66.67 1
 
1.5%
82.24 1
 
1.5%
79.38 1
 
1.5%
77.97 1
 
1.5%
64.14 1
 
1.5%
86.54 1
 
1.5%
81.03 1
 
1.5%
82.58 1
 
1.5%
88.85 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.4 1
1.5%
64.14 1
1.5%
65.24 1
1.5%
65.81 1
1.5%
66.56 1
1.5%
66.67 1
1.5%
66.98 1
1.5%
70.0 1
1.5%
71.18 1
1.5%
71.33 1
1.5%
ValueCountFrequency (%)
93.14 1
1.5%
90.77 1
1.5%
90.45 1
1.5%
89.75 1
1.5%
88.85 1
1.5%
88.43 1
1.5%
87.98 1
1.5%
87.58 1
1.5%
87.16 1
1.5%
86.73 1
1.5%

2022-12
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.259063
Minimum60.4
Maximum93.09
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:53.047709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.4
5-th percentile65.8515
Q174.5775
median79.965
Q384.7525
95-th percentile89.5255
Maximum93.09
Range32.69
Interquartile range (IQR)10.175

Descriptive statistics

Standard deviation7.2733195
Coefficient of variation (CV)0.091766409
Kurtosis-0.16270387
Mean79.259063
Median Absolute Deviation (MAD)5.19
Skewness-0.51136787
Sum5072.58
Variance52.901177
MonotonicityNot monotonic
2023-12-13T00:17:53.192567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86.71 2
 
3.0%
79.6 1
 
1.5%
66.65 1
 
1.5%
82.41 1
 
1.5%
79.4 1
 
1.5%
77.96 1
 
1.5%
64.13 1
 
1.5%
86.58 1
 
1.5%
81.01 1
 
1.5%
82.47 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.4 1
1.5%
64.13 1
1.5%
65.12 1
1.5%
65.73 1
1.5%
66.54 1
1.5%
66.65 1
1.5%
66.96 1
1.5%
70.03 1
1.5%
71.13 1
1.5%
71.42 1
1.5%
ValueCountFrequency (%)
93.09 1
1.5%
90.77 1
1.5%
90.39 1
1.5%
89.65 1
1.5%
88.82 1
1.5%
88.42 1
1.5%
88.04 1
1.5%
87.59 1
1.5%
86.71 2
3.0%
86.58 1
1.5%

2023-01
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.167344
Minimum60.52
Maximum93.16
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:53.356051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.52
5-th percentile65.7825
Q174.4475
median80.01
Q384.56
95-th percentile89.324
Maximum93.16
Range32.64
Interquartile range (IQR)10.1125

Descriptive statistics

Standard deviation7.2930559
Coefficient of variation (CV)0.092122023
Kurtosis-0.20930684
Mean79.167344
Median Absolute Deviation (MAD)5.12
Skewness-0.48599745
Sum5066.71
Variance53.188664
MonotonicityNot monotonic
2023-12-13T00:17:53.501891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.6 2
 
3.0%
82.01 1
 
1.5%
73.81 1
 
1.5%
66.7 1
 
1.5%
82.47 1
 
1.5%
79.48 1
 
1.5%
77.79 1
 
1.5%
64.02 1
 
1.5%
86.38 1
 
1.5%
80.47 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.52 1
1.5%
64.02 1
1.5%
65.06 1
1.5%
65.67 1
1.5%
66.42 1
1.5%
66.7 1
1.5%
66.96 1
1.5%
69.99 1
1.5%
70.87 1
1.5%
71.27 1
1.5%
ValueCountFrequency (%)
93.16 1
1.5%
90.75 1
1.5%
90.37 1
1.5%
89.39 1
1.5%
88.95 1
1.5%
88.42 1
1.5%
88.03 1
1.5%
87.58 1
1.5%
86.7 1
1.5%
86.56 1
1.5%

2023-02
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.1375
Minimum60.47
Maximum93.13
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:53.675247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.47
5-th percentile65.734
Q174.4525
median79.94
Q384.6225
95-th percentile89.322
Maximum93.13
Range32.66
Interquartile range (IQR)10.17

Descriptive statistics

Standard deviation7.314829
Coefficient of variation (CV)0.092431894
Kurtosis-0.21967933
Mean79.1375
Median Absolute Deviation (MAD)5.25
Skewness-0.48126309
Sum5064.8
Variance53.506724
MonotonicityNot monotonic
2023-12-13T00:17:53.841658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77.84 2
 
3.0%
79.65 1
 
1.5%
66.61 1
 
1.5%
82.61 1
 
1.5%
79.55 1
 
1.5%
77.75 1
 
1.5%
63.97 1
 
1.5%
86.47 1
 
1.5%
80.23 1
 
1.5%
80.9 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.47 1
1.5%
63.97 1
1.5%
65.01 1
1.5%
65.62 1
1.5%
66.38 1
1.5%
66.61 1
1.5%
66.96 1
1.5%
69.95 1
1.5%
70.76 1
1.5%
71.07 1
1.5%
ValueCountFrequency (%)
93.13 1
1.5%
90.89 1
1.5%
90.32 1
1.5%
89.4 1
1.5%
88.88 1
1.5%
88.44 1
1.5%
88.07 1
1.5%
87.62 1
1.5%
86.64 1
1.5%
86.47 1
1.5%

2023-03
Real number (ℝ)

MISSING 

Distinct61
Distinct (%)95.3%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.096094
Minimum60.41
Maximum93.12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:53.984411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.41
5-th percentile65.7105
Q174.265
median80.02
Q384.57
95-th percentile89.571
Maximum93.12
Range32.71
Interquartile range (IQR)10.305

Descriptive statistics

Standard deviation7.3419072
Coefficient of variation (CV)0.092822627
Kurtosis-0.24974873
Mean79.096094
Median Absolute Deviation (MAD)5.23
Skewness-0.46509568
Sum5062.15
Variance53.903602
MonotonicityNot monotonic
2023-12-13T00:17:54.153828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80.59 2
 
3.0%
77.81 2
 
3.0%
86.44 2
 
3.0%
85.05 1
 
1.5%
77.44 1
 
1.5%
84.04 1
 
1.5%
86.16 1
 
1.5%
88.67 1
 
1.5%
80.25 1
 
1.5%
79.79 1
 
1.5%
Other values (51) 51
77.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.41 1
1.5%
64.07 1
1.5%
64.96 1
1.5%
65.58 1
1.5%
66.45 1
1.5%
66.64 1
1.5%
66.89 1
1.5%
69.61 1
1.5%
70.79 1
1.5%
70.9 1
1.5%
ValueCountFrequency (%)
93.12 1
1.5%
90.96 1
1.5%
90.26 1
1.5%
89.73 1
1.5%
88.67 1
1.5%
88.43 1
1.5%
88.13 1
1.5%
87.63 1
1.5%
86.62 1
1.5%
86.44 2
3.0%

2023-04
Real number (ℝ)

MISSING 

Distinct63
Distinct (%)98.4%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean79.039062
Minimum60.37
Maximum93.14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:54.309271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.37
5-th percentile65.7295
Q174.1775
median79.735
Q384.535
95-th percentile89.386
Maximum93.14
Range32.77
Interquartile range (IQR)10.3575

Descriptive statistics

Standard deviation7.3439129
Coefficient of variation (CV)0.092914979
Kurtosis-0.2632255
Mean79.039062
Median Absolute Deviation (MAD)5.405
Skewness-0.45911197
Sum5058.5
Variance53.933056
MonotonicityNot monotonic
2023-12-13T00:17:54.440979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
81.36 2
 
3.0%
78.08 1
 
1.5%
80.53 1
 
1.5%
66.62 1
 
1.5%
82.81 1
 
1.5%
79.55 1
 
1.5%
77.86 1
 
1.5%
63.92 1
 
1.5%
86.64 1
 
1.5%
80.21 1
 
1.5%
Other values (53) 53
80.3%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.37 1
1.5%
63.92 1
1.5%
65.06 1
1.5%
65.62 1
1.5%
66.35 1
1.5%
66.62 1
1.5%
66.85 1
1.5%
69.52 1
1.5%
70.8 1
1.5%
70.89 1
1.5%
ValueCountFrequency (%)
93.14 1
1.5%
90.81 1
1.5%
90.13 1
1.5%
89.53 1
1.5%
88.57 1
1.5%
88.29 1
1.5%
88.09 1
1.5%
87.53 1
1.5%
86.64 1
1.5%
86.52 1
1.5%

2023-05
Real number (ℝ)

MISSING 

Distinct64
Distinct (%)100.0%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean78.969844
Minimum60.53
Maximum93.22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:54.614334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.53
5-th percentile65.688
Q174.165
median79.62
Q384.5575
95-th percentile89.171
Maximum93.22
Range32.69
Interquartile range (IQR)10.3925

Descriptive statistics

Standard deviation7.319572
Coefficient of variation (CV)0.092688192
Kurtosis-0.27371906
Mean78.969844
Median Absolute Deviation (MAD)5.39
Skewness-0.450464
Sum5054.07
Variance53.576135
MonotonicityNot monotonic
2023-12-13T00:17:55.143096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.48 1
 
1.5%
66.59 1
 
1.5%
82.92 1
 
1.5%
79.42 1
 
1.5%
77.84 1
 
1.5%
63.87 1
 
1.5%
86.7 1
 
1.5%
80.26 1
 
1.5%
78.85 1
 
1.5%
88.44 1
 
1.5%
Other values (54) 54
81.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.53 1
1.5%
63.87 1
1.5%
64.99 1
1.5%
65.58 1
1.5%
66.3 1
1.5%
66.59 1
1.5%
66.84 1
1.5%
69.49 1
1.5%
70.77 1
1.5%
70.86 1
1.5%
ValueCountFrequency (%)
93.22 1
1.5%
90.62 1
1.5%
89.99 1
1.5%
89.3 1
1.5%
88.44 1
1.5%
88.22 1
1.5%
88.15 1
1.5%
87.43 1
1.5%
86.7 1
1.5%
86.39 1
1.5%

2023-06
Real number (ℝ)

MISSING 

Distinct60
Distinct (%)93.8%
Missing2
Missing (%)3.0%
Infinite0
Infinite (%)0.0%
Mean78.914687
Minimum60.5
Maximum93.15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size726.0 B
2023-12-13T00:17:55.325837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.5
5-th percentile65.636
Q174.12
median79.615
Q384.5675
95-th percentile89.2025
Maximum93.15
Range32.65
Interquartile range (IQR)10.4475

Descriptive statistics

Standard deviation7.3409307
Coefficient of variation (CV)0.09302363
Kurtosis-0.28868999
Mean78.914687
Median Absolute Deviation (MAD)5.385
Skewness-0.44478994
Sum5050.54
Variance53.889263
MonotonicityNot monotonic
2023-12-13T00:17:55.489478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78.25 3
 
4.5%
74.12 2
 
3.0%
86.32 2
 
3.0%
88.65 1
 
1.5%
76.56 1
 
1.5%
83.64 1
 
1.5%
86.23 1
 
1.5%
80.32 1
 
1.5%
80.53 1
 
1.5%
86.57 1
 
1.5%
Other values (50) 50
75.8%
(Missing) 2
 
3.0%
ValueCountFrequency (%)
60.5 1
1.5%
63.71 1
1.5%
64.95 1
1.5%
65.54 1
1.5%
66.18 1
1.5%
66.6 1
1.5%
66.74 1
1.5%
69.13 1
1.5%
70.83 1
1.5%
70.9 1
1.5%
ValueCountFrequency (%)
93.15 1
1.5%
90.54 1
1.5%
89.94 1
1.5%
89.3 1
1.5%
88.65 1
1.5%
88.24 1
1.5%
88.11 1
1.5%
87.41 1
1.5%
86.57 1
1.5%
86.42 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㎡이하84.8484.9685.1585.2985.4885.785.9786.1986.2886.3786.4486.5386.6186.7486.8186.8486.8986.9487.0387.1187.2187.2787.387.3487.4287.587.5487.5687.5887.5987.5887.6287.6387.5387.4387.41
1전국_40㎡초과 60㎡이하82.9382.9483.0583.1183.3283.4883.5183.4783.4683.3483.2583.1383.082.8482.7182.6782.4582.3482.3782.3882.3382.3582.3182.3582.3182.3282.3282.3182.2982.1282.0181.9881.9281.9281.881.76
2전국_60㎡초과 85㎡이하80.1980.2280.2780.3480.5180.5980.5480.3680.1480.0579.8279.8179.6679.5179.278.8978.6178.4678.4978.5378.5278.4678.4478.4678.578.4978.4678.4878.4878.4278.2378.1278.0778.0877.9877.89
3전국_85㎡초과75.3875.3375.3275.3475.4575.4475.3975.3575.1574.9474.8374.4674.2273.7373.272.7872.2971.9571.8771.9172.071.9971.9971.9571.8571.871.871.7971.7571.6371.5371.5171.4571.371.2571.14
4수도권_40㎡이하85.5785.6985.8986.0486.2486.4886.7586.9987.0787.1687.2287.3287.4187.5787.6587.6887.7287.7687.8587.9588.0688.1288.1488.1988.2988.3888.4288.4488.4388.4288.4288.4488.4388.2988.1588.11
5수도권_40㎡초과 60㎡이하83.8583.8383.9784.0284.2584.484.484.3284.2584.1684.0483.8683.6883.4783.383.2682.9982.8582.8682.8882.8482.8682.8282.8682.882.8182.7982.7782.7482.5282.3982.3482.2582.2582.1182.07
6수도권_60㎡초과 85㎡이하80.6980.7380.7780.8280.9881.0480.9380.7380.4380.3380.0380.079.879.679.2378.8778.5278.3378.3878.4278.478.3778.3478.3678.3678.3678.3378.3678.3878.3178.1378.0277.9677.9877.8977.81
7수도권_85㎡초과76.8876.8876.8676.977.0477.1177.0477.0476.8376.5776.4376.0975.7975.3174.6874.2473.7373.473.3373.473.573.4873.4573.4173.3173.2573.2573.2473.2173.0772.9672.9672.8672.6972.6372.54
8지방_40㎡이하81.7881.9282.0982.1582.3182.4782.6982.8482.9583.183.1683.2583.2983.2783.383.3483.4283.583.683.5883.6783.7183.7583.7783.7783.8283.8683.8483.9984.184.0984.284.2984.3784.4284.46
9지방_40㎡초과 60㎡이하79.1279.2679.2679.3979.5279.779.8479.9880.1979.9780.080.1580.2280.2680.2880.2580.2480.2880.3380.3380.2380.2380.2380.2980.2980.3180.3780.4380.4580.4680.4680.5280.5980.5680.580.49
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㎡이하79.7379.8280.1480.3880.7881.1281.381.5781.982.383.0483.5483.5484.0284.3784.785.1885.4485.7685.7885.8385.8285.8285.8285.8986.0486.0585.9986.0686.1286.286.1486.386.3886.3586.32
57울산_40㎡초과 60㎡이하80.1780.8180.7780.9881.2481.2682.1582.2182.4982.582.7483.1283.4883.7184.2184.5784.9485.085.2285.385.3185.3185.3185.3185.4285.3585.4285.5385.5285.6485.8886.2486.4486.5286.3986.42
58울산_60㎡초과 85㎡이하71.4971.6271.9273.2574.0574.6774.9975.2875.8176.3476.6977.3278.1378.6978.7478.6578.878.9878.8378.978.9478.9478.9678.9679.078.9778.9578.978.8778.8778.878.7578.7278.5978.578.25
59울산_85㎡초과78.978.9579.3979.4480.6880.6780.7880.8180.980.9280.9181.081.4180.8980.6980.2879.3479.3978.9978.9678.9678.9678.9478.9778.8778.7278.6578.6578.7178.6278.5178.678.4378.5378.3478.49
60세종_40㎡이하91.0991.1291.1391.2791.4291.8792.3792.5792.6392.5992.5992.6792.6892.6992.892.8492.9992.992.992.992.992.9592.9593.0293.0493.0493.0793.1593.1493.0993.1693.1393.1293.1493.2293.15
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㎡이하86.9687.1687.4187.5987.7588.0588.4288.788.8288.9288.9989.1389.389.3889.6589.6889.7789.8989.9589.9990.1390.2390.390.3990.5490.6890.7290.7690.7790.7790.7590.8990.9690.8190.6290.54
63경기_40㎡초과 60㎡이하86.6286.586.6486.6386.7286.7786.6686.4586.286.2286.0785.9185.7485.4785.385.3685.0584.9484.9784.9584.9585.0184.9585.0384.9284.9384.9484.9884.8984.6484.4384.4984.4184.3684.2184.12
64경기_60㎡초과 85㎡이하79.3979.4279.4679.5579.7679.7879.6679.2878.8478.878.2478.177.9377.6477.3776.7776.0975.775.7375.8375.7375.6575.5975.6475.5875.5675.5675.5975.6575.6175.475.2575.1475.2675.2475.18
65경기_85㎡초과82.5182.5482.5682.6182.6882.782.5182.4382.0281.5481.5281.0680.7980.2779.4378.9978.2178.0278.078.278.4378.4978.4478.478.1978.178.1178.0978.1377.9577.8177.8677.7877.4777.3877.34