Overview

Dataset statistics

Number of variables92
Number of observations24
Missing cells180
Missing cells (%)8.2%
Duplicate rows1
Duplicate rows (%)4.2%
Total size in memory19.5 KiB
Average record size in memory831.5 B

Variable types

Text1
Categorical2
Numeric89

Dataset

Description한국주택금융공사에서 발행한 지역별 아파트 전세가격지수 자료입니다. 분류, 월별 전세가격지수, 전국 시도별로 자료를 확인할 수 있습니다.
Author한국주택금융공사
URLhttps://www.data.go.kr/data/15113301/fileData.do

Alerts

Dataset has 1 (4.2%) duplicate rowsDuplicates
항목 is highly imbalanced (58.6%)Imbalance
2021년 6월 is highly imbalanced (58.6%)Imbalance
분류 has 2 (8.3%) missing valuesMissing
2015년 9월 has 2 (8.3%) missing valuesMissing
2015년 10월 has 2 (8.3%) missing valuesMissing
2015년 11월 has 2 (8.3%) missing valuesMissing
2015년 12월 has 2 (8.3%) missing valuesMissing
2016년 1월 has 2 (8.3%) missing valuesMissing
2016년 2월 has 2 (8.3%) missing valuesMissing
2016년 3월 has 2 (8.3%) missing valuesMissing
2016년 4월 has 2 (8.3%) missing valuesMissing
2016년 5월 has 2 (8.3%) missing valuesMissing
2016년 6월 has 2 (8.3%) missing valuesMissing
2016년 7월 has 2 (8.3%) missing valuesMissing
2016년 8월 has 2 (8.3%) missing valuesMissing
2016년 9월 has 2 (8.3%) missing valuesMissing
2016년 10월 has 2 (8.3%) missing valuesMissing
2016년 11월 has 2 (8.3%) missing valuesMissing
2016년 12월 has 2 (8.3%) missing valuesMissing
2017년 1월 has 2 (8.3%) missing valuesMissing
2017년 2월 has 2 (8.3%) missing valuesMissing
2017년 3월 has 2 (8.3%) missing valuesMissing
2017년 4월 has 2 (8.3%) missing valuesMissing
2017년 5월 has 2 (8.3%) missing valuesMissing
2017년 6월 has 2 (8.3%) missing valuesMissing
2017년 7월 has 2 (8.3%) missing valuesMissing
2017년 8월 has 2 (8.3%) missing valuesMissing
2017년 9월 has 2 (8.3%) missing valuesMissing
2017년 10월 has 2 (8.3%) missing valuesMissing
2017년 11월 has 2 (8.3%) missing valuesMissing
2017년 12월 has 2 (8.3%) missing valuesMissing
2018년 1월 has 2 (8.3%) missing valuesMissing
2018년 2월 has 2 (8.3%) missing valuesMissing
2018년 3월 has 2 (8.3%) missing valuesMissing
2018년 4월 has 2 (8.3%) missing valuesMissing
2018년 5월 has 2 (8.3%) missing valuesMissing
2018년 6월 has 2 (8.3%) missing valuesMissing
2018년 7월 has 2 (8.3%) missing valuesMissing
2018년 8월 has 2 (8.3%) missing valuesMissing
2018년 9월 has 2 (8.3%) missing valuesMissing
2018년 10월 has 2 (8.3%) missing valuesMissing
2018년 11월 has 2 (8.3%) missing valuesMissing
2018년 12월 has 2 (8.3%) missing valuesMissing
2019년 1월 has 2 (8.3%) missing valuesMissing
2019년 2월 has 2 (8.3%) missing valuesMissing
2019년 3월 has 2 (8.3%) missing valuesMissing
2019년 4월 has 2 (8.3%) missing valuesMissing
2019년 5월 has 2 (8.3%) missing valuesMissing
2019년 6월 has 2 (8.3%) missing valuesMissing
2019년 7월 has 2 (8.3%) missing valuesMissing
2019년 8월 has 2 (8.3%) missing valuesMissing
2019년 9월 has 2 (8.3%) missing valuesMissing
2019년 10월 has 2 (8.3%) missing valuesMissing
2019년 11월 has 2 (8.3%) missing valuesMissing
2019년 12월 has 2 (8.3%) missing valuesMissing
2020년 1월 has 2 (8.3%) missing valuesMissing
2020년 2월 has 2 (8.3%) missing valuesMissing
2020년 3월 has 2 (8.3%) missing valuesMissing
2020년 4월 has 2 (8.3%) missing valuesMissing
2020년 5월 has 2 (8.3%) missing valuesMissing
2020년 6월 has 2 (8.3%) missing valuesMissing
2020년 7월 has 2 (8.3%) missing valuesMissing
2020년 8월 has 2 (8.3%) missing valuesMissing
2020년 9월 has 2 (8.3%) missing valuesMissing
2020년 10월 has 2 (8.3%) missing valuesMissing
2020년 11월 has 2 (8.3%) missing valuesMissing
2020년 12월 has 2 (8.3%) missing valuesMissing
2021년 1월 has 2 (8.3%) missing valuesMissing
2021년 2월 has 2 (8.3%) missing valuesMissing
2021년 3월 has 2 (8.3%) missing valuesMissing
2021년 4월 has 2 (8.3%) missing valuesMissing
2021년 5월 has 2 (8.3%) missing valuesMissing
2021년 7월 has 2 (8.3%) missing valuesMissing
2021년 8월 has 2 (8.3%) missing valuesMissing
2021년 9월 has 2 (8.3%) missing valuesMissing
2021년 10월 has 2 (8.3%) missing valuesMissing
2021년 11월 has 2 (8.3%) missing valuesMissing
2021년 12월 has 2 (8.3%) missing valuesMissing
2022년 1월 has 2 (8.3%) missing valuesMissing
2022년 2월 has 2 (8.3%) missing valuesMissing
2022년 3월 has 2 (8.3%) missing valuesMissing
2022년 4월 has 2 (8.3%) missing valuesMissing
2022년 5월 has 2 (8.3%) missing valuesMissing
2022년 6월 has 2 (8.3%) missing valuesMissing
2022년 7월 has 2 (8.3%) missing valuesMissing
2022년 8월 has 2 (8.3%) missing valuesMissing
2022년 9월 has 2 (8.3%) missing valuesMissing
2022년 10월 has 2 (8.3%) missing valuesMissing
2022년 11월 has 2 (8.3%) missing valuesMissing
2022년 12월 has 2 (8.3%) missing valuesMissing
2023년 1월 has 2 (8.3%) missing valuesMissing
2023년 2월 has 2 (8.3%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:19:25.015386
Analysis finished2024-04-06 08:19:27.070967
Duration2.06 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

분류
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Memory size324.0 B
2024-04-06T17:19:27.299929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length2
Mean length2.2727273
Min length2

Characters and Unicode

Total characters50
Distinct characters32
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row전국
2nd row수도권
3rd row지방권
4th row6대광역시
5th row9개도
ValueCountFrequency (%)
수도권 1
 
4.5%
지방권 1
 
4.5%
제주 1
 
4.5%
경남 1
 
4.5%
경북 1
 
4.5%
전남 1
 
4.5%
전북 1
 
4.5%
충남 1
 
4.5%
충북 1
 
4.5%
강원 1
 
4.5%
Other values (12) 12
54.5%
2024-04-06T17:19:28.088569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
 
8.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
3
 
6.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
2
 
4.0%
Other values (22) 24
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48
96.0%
Decimal Number 2
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4
 
8.3%
3
 
6.2%
3
 
6.2%
3
 
6.2%
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
Other values (20) 22
45.8%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
6 1
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48
96.0%
Common 2
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4
 
8.3%
3
 
6.2%
3
 
6.2%
3
 
6.2%
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
Other values (20) 22
45.8%
Common
ValueCountFrequency (%)
9 1
50.0%
6 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48
96.0%
ASCII 2
 
4.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
4
 
8.3%
3
 
6.2%
3
 
6.2%
3
 
6.2%
3
 
6.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
2
 
4.2%
Other values (20) 22
45.8%
ASCII
ValueCountFrequency (%)
9 1
50.0%
6 1
50.0%

항목
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
전세가격지수
22 
<NA>
 
2

Length

Max length6
Median length6
Mean length5.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row전세가격지수
2nd row전세가격지수
3rd row전세가격지수
4th row전세가격지수
5th row전세가격지수

Common Values

ValueCountFrequency (%)
전세가격지수 22
91.7%
<NA> 2
 
8.3%

Length

2024-04-06T17:19:28.366831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:19:28.567477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
전세가격지수 22
91.7%
na 2
 
8.3%

2015년 9월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.309091
Minimum58.1
Maximum109.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:28.752457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile74.39
Q185.825
median90.95
Q396.325
95-th percentile108.615
Maximum109.4
Range51.3
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation10.852996
Coefficient of variation (CV)0.12017612
Kurtosis3.048273
Mean90.309091
Median Absolute Deviation (MAD)5.3
Skewness-0.98423077
Sum1986.8
Variance117.78753
MonotonicityNot monotonic
2024-04-06T17:19:28.983461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
94.2 1
 
4.2%
96.1 1
 
4.2%
109.2 1
 
4.2%
109.4 1
 
4.2%
90.8 1
 
4.2%
97.1 1
 
4.2%
96.8 1
 
4.2%
96.4 1
 
4.2%
97.5 1
 
4.2%
58.1 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.1 1
4.2%
74.1 1
4.2%
79.9 1
4.2%
85.1 1
4.2%
85.6 1
4.2%
85.7 1
4.2%
86.2 1
4.2%
88.1 1
4.2%
88.8 1
4.2%
89.4 1
4.2%
ValueCountFrequency (%)
109.4 1
4.2%
109.2 1
4.2%
97.5 1
4.2%
97.1 1
4.2%
96.8 1
4.2%
96.4 1
4.2%
96.1 1
4.2%
94.2 1
4.2%
93.7 1
4.2%
93.5 1
4.2%

2015년 10월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.713636
Minimum58.2
Maximum109.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:29.340021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.2
5-th percentile74.605
Q186.6
median91.25
Q396.675
95-th percentile108.825
Maximum109.7
Range51.5
Interquartile range (IQR)10.075

Descriptive statistics

Standard deviation10.842917
Coefficient of variation (CV)0.11952908
Kurtosis3.2339894
Mean90.713636
Median Absolute Deviation (MAD)5.25
Skewness-1.0449511
Sum1995.7
Variance117.56885
MonotonicityNot monotonic
2024-04-06T17:19:29.593073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94.0 2
 
8.3%
58.2 1
 
4.2%
96.7 1
 
4.2%
109.4 1
 
4.2%
109.7 1
 
4.2%
90.9 1
 
4.2%
97.3 1
 
4.2%
97.0 1
 
4.2%
96.6 1
 
4.2%
97.9 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.2 1
4.2%
74.3 1
4.2%
80.4 1
4.2%
85.8 1
4.2%
86.1 1
4.2%
86.5 1
4.2%
86.9 1
4.2%
88.6 1
4.2%
89.4 1
4.2%
89.9 1
4.2%
ValueCountFrequency (%)
109.7 1
4.2%
109.4 1
4.2%
97.9 1
4.2%
97.3 1
4.2%
97.0 1
4.2%
96.7 1
4.2%
96.6 1
4.2%
94.5 1
4.2%
94.0 2
8.3%
91.6 1
4.2%

2015년 11월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.113636
Minimum58.2
Maximum109.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:29.829662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.2
5-th percentile74.815
Q187.45
median91.65
Q397.125
95-th percentile108.94
Maximum109.8
Range51.6
Interquartile range (IQR)9.675

Descriptive statistics

Standard deviation10.839052
Coefficient of variation (CV)0.11896191
Kurtosis3.4433894
Mean91.113636
Median Absolute Deviation (MAD)5.15
Skewness-1.1298818
Sum2004.5
Variance117.48504
MonotonicityNot monotonic
2024-04-06T17:19:30.071844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
94.4 2
 
8.3%
86.5 2
 
8.3%
98.3 1
 
4.2%
97.6 1
 
4.2%
109.5 1
 
4.2%
109.8 1
 
4.2%
91.0 1
 
4.2%
97.4 1
 
4.2%
97.2 1
 
4.2%
96.9 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.2 1
4.2%
74.5 1
4.2%
80.8 1
4.2%
86.5 2
8.3%
87.4 1
4.2%
87.6 1
4.2%
89.1 1
4.2%
89.9 1
4.2%
90.5 1
4.2%
91.0 1
4.2%
ValueCountFrequency (%)
109.8 1
4.2%
109.5 1
4.2%
98.3 1
4.2%
97.6 1
4.2%
97.4 1
4.2%
97.2 1
4.2%
96.9 1
4.2%
94.7 1
4.2%
94.4 2
8.3%
92.3 1
4.2%

2015년 12월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.409091
Minimum58.3
Maximum109.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:30.325208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.3
5-th percentile75.02
Q187.95
median91.8
Q397.3
95-th percentile109.165
Maximum109.7
Range51.4
Interquartile range (IQR)9.35

Descriptive statistics

Standard deviation10.844745
Coefficient of variation (CV)0.11863967
Kurtosis3.5138372
Mean91.409091
Median Absolute Deviation (MAD)4.9
Skewness-1.1722833
Sum2011
Variance117.60848
MonotonicityNot monotonic
2024-04-06T17:19:30.562154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
109.7 2
 
8.3%
97.3 2
 
8.3%
74.7 1
 
4.2%
99.0 1
 
4.2%
91.1 1
 
4.2%
97.4 1
 
4.2%
98.6 1
 
4.2%
58.3 1
 
4.2%
94.9 1
 
4.2%
90.8 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.3 1
4.2%
74.7 1
4.2%
81.1 1
4.2%
86.8 1
4.2%
87.0 1
4.2%
87.9 1
4.2%
88.1 1
4.2%
89.6 1
4.2%
89.9 1
4.2%
90.8 1
4.2%
ValueCountFrequency (%)
109.7 2
8.3%
99.0 1
4.2%
98.6 1
4.2%
97.4 1
4.2%
97.3 2
8.3%
94.9 1
4.2%
94.7 1
4.2%
94.6 1
4.2%
92.5 1
4.2%
91.1 1
4.2%

2016년 1월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.563636
Minimum58.4
Maximum109.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:30.796363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.4
5-th percentile75.12
Q188.175
median91.85
Q397.425
95-th percentile109.215
Maximum109.8
Range51.4
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation10.861007
Coefficient of variation (CV)0.11861703
Kurtosis3.4974275
Mean91.563636
Median Absolute Deviation (MAD)4.8
Skewness-1.1801279
Sum2014.4
Variance117.96147
MonotonicityNot monotonic
2024-04-06T17:19:31.020466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
97.5 2
 
8.3%
87.2 1
 
4.2%
100.0 1
 
4.2%
109.8 1
 
4.2%
109.7 1
 
4.2%
91.1 1
 
4.2%
97.2 1
 
4.2%
98.7 1
 
4.2%
58.4 1
 
4.2%
95.1 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.4 1
4.2%
74.8 1
4.2%
81.2 1
4.2%
86.9 1
4.2%
87.2 1
4.2%
88.1 1
4.2%
88.4 1
4.2%
89.8 1
4.2%
89.9 1
4.2%
91.0 1
4.2%
ValueCountFrequency (%)
109.8 1
4.2%
109.7 1
4.2%
100.0 1
4.2%
98.7 1
4.2%
97.5 2
8.3%
97.2 1
4.2%
95.1 1
4.2%
94.8 1
4.2%
94.7 1
4.2%
92.6 1
4.2%

2016년 2월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.731818
Minimum58.7
Maximum109.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:31.229267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.7
5-th percentile75.225
Q188.375
median92
Q397.375
95-th percentile109.165
Maximum109.9
Range51.2
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.834266
Coefficient of variation (CV)0.11810805
Kurtosis3.4549694
Mean91.731818
Median Absolute Deviation (MAD)4.75
Skewness-1.181221
Sum2018.1
Variance117.38132
MonotonicityNot monotonic
2024-04-06T17:19:31.457662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.3 1
 
4.2%
100.9 1
 
4.2%
109.9 1
 
4.2%
109.6 1
 
4.2%
91.2 1
 
4.2%
97.5 1
 
4.2%
97.0 1
 
4.2%
97.8 1
 
4.2%
98.8 1
 
4.2%
58.7 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.7 1
4.2%
74.9 1
4.2%
81.4 1
4.2%
87.1 1
4.2%
87.4 1
4.2%
88.3 1
4.2%
88.6 1
4.2%
89.7 1
4.2%
90.3 1
4.2%
91.1 1
4.2%
ValueCountFrequency (%)
109.9 1
4.2%
109.6 1
4.2%
100.9 1
4.2%
98.8 1
4.2%
97.8 1
4.2%
97.5 1
4.2%
97.0 1
4.2%
95.3 1
4.2%
95.0 1
4.2%
94.8 1
4.2%

2016년 3월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.827273
Minimum58.9
Maximum110.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:31.719719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.9
5-th percentile75.425
Q188.55
median92.1
Q397.45
95-th percentile109.075
Maximum110.1
Range51.2
Interquartile range (IQR)8.9

Descriptive statistics

Standard deviation10.799832
Coefficient of variation (CV)0.11761028
Kurtosis3.454064
Mean91.827273
Median Absolute Deviation (MAD)4.7
Skewness-1.1763649
Sum2020.2
Variance116.63636
MonotonicityNot monotonic
2024-04-06T17:19:31.927949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.4 1
 
4.2%
101.0 1
 
4.2%
110.1 1
 
4.2%
109.5 1
 
4.2%
91.3 1
 
4.2%
97.6 1
 
4.2%
97.0 1
 
4.2%
98.0 1
 
4.2%
98.9 1
 
4.2%
58.9 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.9 1
4.2%
75.1 1
4.2%
81.6 1
4.2%
87.2 1
4.2%
87.6 1
4.2%
88.5 1
4.2%
88.7 1
4.2%
89.4 1
4.2%
90.4 1
4.2%
91.2 1
4.2%
ValueCountFrequency (%)
110.1 1
4.2%
109.5 1
4.2%
101.0 1
4.2%
98.9 1
4.2%
98.0 1
4.2%
97.6 1
4.2%
97.0 1
4.2%
95.4 1
4.2%
95.1 1
4.2%
94.8 1
4.2%

2016년 4월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.959091
Minimum59.2
Maximum110.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:32.128538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.2
5-th percentile75.535
Q188.8
median92.3
Q397.5
95-th percentile108.885
Maximum110.2
Range51
Interquartile range (IQR)8.7

Descriptive statistics

Standard deviation10.737769
Coefficient of variation (CV)0.1167668
Kurtosis3.4626154
Mean91.959091
Median Absolute Deviation (MAD)4.55
Skewness-1.1880176
Sum2023.1
Variance115.29968
MonotonicityNot monotonic
2024-04-06T17:19:32.395572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
88.8 2
 
8.3%
59.2 1
 
4.2%
101.0 1
 
4.2%
110.2 1
 
4.2%
109.3 1
 
4.2%
91.5 1
 
4.2%
97.7 1
 
4.2%
96.9 1
 
4.2%
98.3 1
 
4.2%
99.1 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
59.2 1
4.2%
75.2 1
4.2%
81.9 1
4.2%
87.3 1
4.2%
87.8 1
4.2%
88.8 2
8.3%
89.2 1
4.2%
90.7 1
4.2%
91.4 1
4.2%
91.5 1
4.2%
ValueCountFrequency (%)
110.2 1
4.2%
109.3 1
4.2%
101.0 1
4.2%
99.1 1
4.2%
98.3 1
4.2%
97.7 1
4.2%
96.9 1
4.2%
95.5 1
4.2%
95.3 1
4.2%
94.9 1
4.2%

2016년 5월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.072727
Minimum59.6
Maximum110.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:32.658106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum59.6
5-th percentile75.735
Q189
median92.45
Q397.5
95-th percentile108.595
Maximum110.3
Range50.7
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.638572
Coefficient of variation (CV)0.11554532
Kurtosis3.4727559
Mean92.072727
Median Absolute Deviation (MAD)4.25
Skewness-1.1960435
Sum2025.6
Variance113.17922
MonotonicityNot monotonic
2024-04-06T17:19:32.895763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
91.6 2
 
8.3%
89.0 2
 
8.3%
87.4 1
 
4.2%
95.4 1
 
4.2%
100.9 1
 
4.2%
110.3 1
 
4.2%
109.0 1
 
4.2%
97.8 1
 
4.2%
96.6 1
 
4.2%
98.6 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
59.6 1
4.2%
75.4 1
4.2%
82.1 1
4.2%
87.4 1
4.2%
88.1 1
4.2%
89.0 2
8.3%
89.1 1
4.2%
90.9 1
4.2%
91.6 2
8.3%
93.3 1
4.2%
ValueCountFrequency (%)
110.3 1
4.2%
109.0 1
4.2%
100.9 1
4.2%
99.2 1
4.2%
98.6 1
4.2%
97.8 1
4.2%
96.6 1
4.2%
95.7 1
4.2%
95.4 1
4.2%
95.0 1
4.2%

2016년 6월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.163636
Minimum60
Maximum110.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:33.137296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile75.85
Q188.85
median92.5
Q397.6
95-th percentile108.21
Maximum110.3
Range50.3
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation10.527223
Coefficient of variation (CV)0.11422317
Kurtosis3.4895896
Mean92.163636
Median Absolute Deviation (MAD)4.05
Skewness-1.2097477
Sum2027.6
Variance110.82242
MonotonicityNot monotonic
2024-04-06T17:19:33.429962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.7 1
 
4.2%
100.8 1
 
4.2%
110.3 1
 
4.2%
108.6 1
 
4.2%
91.6 1
 
4.2%
98.0 1
 
4.2%
96.4 1
 
4.2%
98.8 1
 
4.2%
99.4 1
 
4.2%
60.0 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
60.0 1
4.2%
75.5 1
4.2%
82.5 1
4.2%
87.5 1
4.2%
88.3 1
4.2%
88.7 1
4.2%
89.3 1
4.2%
89.4 1
4.2%
91.2 1
4.2%
91.6 1
4.2%
ValueCountFrequency (%)
110.3 1
4.2%
108.6 1
4.2%
100.8 1
4.2%
99.4 1
4.2%
98.8 1
4.2%
98.0 1
4.2%
96.4 1
4.2%
95.7 1
4.2%
95.6 1
4.2%
95.0 1
4.2%

2016년 7월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.227273
Minimum60.5
Maximum110.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:33.690009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.5
5-th percentile75.96
Q188.825
median92.5
Q397.575
95-th percentile107.83
Maximum110.3
Range49.8
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation10.401657
Coefficient of variation (CV)0.11278287
Kurtosis3.4647395
Mean92.227273
Median Absolute Deviation (MAD)4
Skewness-1.2077873
Sum2029
Variance108.19446
MonotonicityNot monotonic
2024-04-06T17:19:33.970618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
95.6 2
 
8.3%
60.5 1
 
4.2%
100.8 1
 
4.2%
110.3 1
 
4.2%
108.2 1
 
4.2%
91.7 1
 
4.2%
98.0 1
 
4.2%
96.3 1
 
4.2%
98.9 1
 
4.2%
99.6 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
60.5 1
4.2%
75.6 1
4.2%
82.8 1
4.2%
87.6 1
4.2%
88.4 1
4.2%
88.6 1
4.2%
89.5 1
4.2%
89.6 1
4.2%
91.4 1
4.2%
91.7 1
4.2%
ValueCountFrequency (%)
110.3 1
4.2%
108.2 1
4.2%
100.8 1
4.2%
99.6 1
4.2%
98.9 1
4.2%
98.0 1
4.2%
96.3 1
4.2%
95.6 2
8.3%
95.0 1
4.2%
93.2 1
4.2%

2016년 8월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.309091
Minimum61.2
Maximum110.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:34.243989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.2
5-th percentile76.07
Q189.025
median92.55
Q397.6
95-th percentile107.54
Maximum110.2
Range49
Interquartile range (IQR)8.575

Descriptive statistics

Standard deviation10.248294
Coefficient of variation (CV)0.1110215
Kurtosis3.3828119
Mean92.309091
Median Absolute Deviation (MAD)4.1
Skewness-1.1948097
Sum2030.8
Variance105.02753
MonotonicityNot monotonic
2024-04-06T17:19:34.485160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
91.8 2
 
8.3%
95.5 1
 
4.2%
100.7 1
 
4.2%
110.2 1
 
4.2%
107.9 1
 
4.2%
98.1 1
 
4.2%
96.1 1
 
4.2%
99.0 1
 
4.2%
99.8 1
 
4.2%
61.2 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.2 1
4.2%
75.7 1
4.2%
83.1 1
4.2%
87.7 1
4.2%
88.1 1
4.2%
88.8 1
4.2%
89.7 1
4.2%
89.8 1
4.2%
91.8 2
8.3%
91.9 1
4.2%
ValueCountFrequency (%)
110.2 1
4.2%
107.9 1
4.2%
100.7 1
4.2%
99.8 1
4.2%
99.0 1
4.2%
98.1 1
4.2%
96.1 1
4.2%
95.7 1
4.2%
95.5 1
4.2%
95.0 1
4.2%

2016년 9월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.372727
Minimum61.4
Maximum110.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:34.722797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.4
5-th percentile76.175
Q189.15
median92.6
Q397.575
95-th percentile107.26
Maximum110.3
Range48.9
Interquartile range (IQR)8.425

Descriptive statistics

Standard deviation10.198935
Coefficient of variation (CV)0.11041067
Kurtosis3.3900792
Mean92.372727
Median Absolute Deviation (MAD)4.2
Skewness-1.2002089
Sum2032.2
Variance104.01827
MonotonicityNot monotonic
2024-04-06T17:19:34.981348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
89.9 2
 
8.3%
61.4 1
 
4.2%
100.8 1
 
4.2%
110.3 1
 
4.2%
107.6 1
 
4.2%
91.9 1
 
4.2%
98.1 1
 
4.2%
96.0 1
 
4.2%
99.2 1
 
4.2%
99.9 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.4 1
4.2%
75.8 1
4.2%
83.3 1
4.2%
87.8 1
4.2%
87.9 1
4.2%
88.9 1
4.2%
89.9 2
8.3%
91.9 1
4.2%
92.0 1
4.2%
92.1 1
4.2%
ValueCountFrequency (%)
110.3 1
4.2%
107.6 1
4.2%
100.8 1
4.2%
99.9 1
4.2%
99.2 1
4.2%
98.1 1
4.2%
96.0 1
4.2%
95.8 1
4.2%
95.5 1
4.2%
95.0 1
4.2%

2016년 10월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.527273
Minimum61.5
Maximum110.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:35.265131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.5
5-th percentile76.28
Q189.425
median92.9
Q397.725
95-th percentile107.175
Maximum110.4
Range48.9
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation10.189873
Coefficient of variation (CV)0.11012832
Kurtosis3.4323558
Mean92.527273
Median Absolute Deviation (MAD)4.3
Skewness-1.2223825
Sum2035.6
Variance103.83351
MonotonicityNot monotonic
2024-04-06T17:19:35.511750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90.1 2
 
8.3%
61.5 1
 
4.2%
101.0 1
 
4.2%
110.4 1
 
4.2%
107.5 1
 
4.2%
92.0 1
 
4.2%
98.3 1
 
4.2%
95.9 1
 
4.2%
99.4 1
 
4.2%
100.2 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.5 1
4.2%
75.9 1
4.2%
83.5 1
4.2%
87.9 1
4.2%
88.0 1
4.2%
89.2 1
4.2%
90.1 2
8.3%
92.0 1
4.2%
92.2 1
4.2%
92.6 1
4.2%
ValueCountFrequency (%)
110.4 1
4.2%
107.5 1
4.2%
101.0 1
4.2%
100.2 1
4.2%
99.4 1
4.2%
98.3 1
4.2%
96.0 1
4.2%
95.9 1
4.2%
95.5 1
4.2%
95.2 1
4.2%

2016년 11월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.695455
Minimum61.6
Maximum110.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:35.783017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.6
5-th percentile76.485
Q189.65
median93.25
Q397.825
95-th percentile107.005
Maximum110.5
Range48.9
Interquartile range (IQR)8.175

Descriptive statistics

Standard deviation10.16551
Coefficient of variation (CV)0.10966568
Kurtosis3.5094405
Mean92.695455
Median Absolute Deviation (MAD)4.4
Skewness-1.2499315
Sum2039.3
Variance103.3376
MonotonicityNot monotonic
2024-04-06T17:19:36.310872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90.4 2
 
8.3%
61.6 1
 
4.2%
101.4 1
 
4.2%
110.5 1
 
4.2%
107.3 1
 
4.2%
92.1 1
 
4.2%
98.4 1
 
4.2%
95.7 1
 
4.2%
99.7 1
 
4.2%
100.5 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.6 1
4.2%
76.1 1
4.2%
83.8 1
4.2%
87.9 1
4.2%
88.3 1
4.2%
89.4 1
4.2%
90.4 2
8.3%
92.1 1
4.2%
92.4 1
4.2%
93.2 1
4.2%
ValueCountFrequency (%)
110.5 1
4.2%
107.3 1
4.2%
101.4 1
4.2%
100.5 1
4.2%
99.7 1
4.2%
98.4 1
4.2%
96.1 1
4.2%
95.7 1
4.2%
95.5 1
4.2%
95.3 1
4.2%

2016년 12월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.786364
Minimum61.6
Maximum110.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:36.600841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.6
5-th percentile76.585
Q189.75
median93.45
Q397.925
95-th percentile106.83
Maximum110.6
Range49
Interquartile range (IQR)8.175

Descriptive statistics

Standard deviation10.174445
Coefficient of variation (CV)0.10965453
Kurtosis3.5350546
Mean92.786364
Median Absolute Deviation (MAD)4.5
Skewness-1.2647085
Sum2041.3
Variance103.51933
MonotonicityNot monotonic
2024-04-06T17:19:36.963778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
95.4 2
 
8.3%
90.5 2
 
8.3%
100.7 1
 
4.2%
101.7 1
 
4.2%
110.6 1
 
4.2%
107.1 1
 
4.2%
92.4 1
 
4.2%
98.5 1
 
4.2%
95.6 1
 
4.2%
99.9 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.6 1
4.2%
76.2 1
4.2%
83.9 1
4.2%
87.8 1
4.2%
88.4 1
4.2%
89.5 1
4.2%
90.5 2
8.3%
92.4 1
4.2%
92.5 1
4.2%
93.4 1
4.2%
ValueCountFrequency (%)
110.6 1
4.2%
107.1 1
4.2%
101.7 1
4.2%
100.7 1
4.2%
99.9 1
4.2%
98.5 1
4.2%
96.2 1
4.2%
95.6 1
4.2%
95.4 2
8.3%
93.5 1
4.2%

2017년 1월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.822727
Minimum61.5
Maximum110.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:37.251283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.5
5-th percentile76.775
Q189.825
median93.6
Q398
95-th percentile106.655
Maximum110.6
Range49.1
Interquartile range (IQR)8.175

Descriptive statistics

Standard deviation10.180978
Coefficient of variation (CV)0.10968195
Kurtosis3.5842428
Mean92.822727
Median Absolute Deviation (MAD)4.5
Skewness-1.2809708
Sum2042.1
Variance103.65232
MonotonicityNot monotonic
2024-04-06T17:19:37.516907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92.5 2
 
8.3%
95.4 1
 
4.2%
88.4 1
 
4.2%
102.0 1
 
4.2%
110.6 1
 
4.2%
106.9 1
 
4.2%
98.6 1
 
4.2%
95.5 1
 
4.2%
100.0 1
 
4.2%
100.8 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.5 1
4.2%
76.4 1
4.2%
83.9 1
4.2%
87.7 1
4.2%
88.4 1
4.2%
89.6 1
4.2%
90.5 1
4.2%
90.6 1
4.2%
92.5 2
8.3%
93.5 1
4.2%
ValueCountFrequency (%)
110.6 1
4.2%
106.9 1
4.2%
102.0 1
4.2%
100.8 1
4.2%
100.0 1
4.2%
98.6 1
4.2%
96.2 1
4.2%
95.5 1
4.2%
95.4 1
4.2%
95.3 1
4.2%

2017년 2월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.859091
Minimum61.4
Maximum110.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:37.737604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.4
5-th percentile76.97
Q189.85
median93.75
Q398.075
95-th percentile106.565
Maximum110.6
Range49.2
Interquartile range (IQR)8.225

Descriptive statistics

Standard deviation10.182322
Coefficient of variation (CV)0.10965347
Kurtosis3.6518611
Mean92.859091
Median Absolute Deviation (MAD)4.55
Skewness-1.2971917
Sum2042.9
Variance103.67968
MonotonicityNot monotonic
2024-04-06T17:19:38.131977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90.6 2
 
8.3%
61.4 1
 
4.2%
102.1 1
 
4.2%
110.6 1
 
4.2%
106.8 1
 
4.2%
92.5 1
 
4.2%
98.7 1
 
4.2%
95.3 1
 
4.2%
100.0 1
 
4.2%
101.0 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.4 1
4.2%
76.6 1
4.2%
84.0 1
4.2%
87.6 1
4.2%
88.5 1
4.2%
89.6 1
4.2%
90.6 2
8.3%
92.5 1
4.2%
92.6 1
4.2%
93.6 1
4.2%
ValueCountFrequency (%)
110.6 1
4.2%
106.8 1
4.2%
102.1 1
4.2%
101.0 1
4.2%
100.0 1
4.2%
98.7 1
4.2%
96.2 1
4.2%
95.5 1
4.2%
95.3 1
4.2%
95.2 1
4.2%

2017년 3월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.909091
Minimum60.8
Maximum110.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:38.515452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.8
5-th percentile77.165
Q189.925
median93.8
Q398.25
95-th percentile106.465
Maximum110.6
Range49.8
Interquartile range (IQR)8.325

Descriptive statistics

Standard deviation10.261157
Coefficient of variation (CV)0.11044298
Kurtosis3.8844451
Mean92.909091
Median Absolute Deviation (MAD)4.6
Skewness-1.3606435
Sum2044
Variance105.29134
MonotonicityNot monotonic
2024-04-06T17:19:38.859863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92.7 2
 
8.3%
95.5 1
 
4.2%
88.6 1
 
4.2%
102.0 1
 
4.2%
110.6 1
 
4.2%
106.7 1
 
4.2%
98.9 1
 
4.2%
95.2 1
 
4.2%
100.2 1
 
4.2%
101.3 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
60.8 1
4.2%
76.8 1
4.2%
84.1 1
4.2%
87.6 1
4.2%
88.6 1
4.2%
89.7 1
4.2%
90.6 1
4.2%
90.8 1
4.2%
92.7 2
8.3%
93.6 1
4.2%
ValueCountFrequency (%)
110.6 1
4.2%
106.7 1
4.2%
102.0 1
4.2%
101.3 1
4.2%
100.2 1
4.2%
98.9 1
4.2%
96.3 1
4.2%
95.5 1
4.2%
95.3 1
4.2%
95.2 1
4.2%

2017년 4월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.859091
Minimum58.6
Maximum110.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:39.244830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.6
5-th percentile77.265
Q190.125
median93.9
Q398.425
95-th percentile106.175
Maximum110.5
Range51.9
Interquartile range (IQR)8.3

Descriptive statistics

Standard deviation10.563399
Coefficient of variation (CV)0.11375729
Kurtosis4.6513007
Mean92.859091
Median Absolute Deviation (MAD)4.6
Skewness-1.5580261
Sum2042.9
Variance111.58539
MonotonicityNot monotonic
2024-04-06T17:19:39.495518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.3 1
 
4.2%
101.9 1
 
4.2%
110.5 1
 
4.2%
106.4 1
 
4.2%
92.9 1
 
4.2%
99.1 1
 
4.2%
94.8 1
 
4.2%
100.3 1
 
4.2%
101.6 1
 
4.2%
58.6 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.6 1
4.2%
76.9 1
4.2%
84.2 1
4.2%
87.6 1
4.2%
88.7 1
4.2%
89.9 1
4.2%
90.8 1
4.2%
91.0 1
4.2%
92.7 1
4.2%
92.9 1
4.2%
ValueCountFrequency (%)
110.5 1
4.2%
106.4 1
4.2%
101.9 1
4.2%
101.6 1
4.2%
100.3 1
4.2%
99.1 1
4.2%
96.4 1
4.2%
95.5 1
4.2%
95.3 1
4.2%
94.8 1
4.2%

2017년 5월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.754545
Minimum55.2
Maximum110.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:39.730485image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.2
5-th percentile77.18
Q190.3
median94.15
Q398.575
95-th percentile105.89
Maximum110.2
Range55
Interquartile range (IQR)8.275

Descriptive statistics

Standard deviation11.077679
Coefficient of variation (CV)0.11943004
Kurtosis5.797732
Mean92.754545
Median Absolute Deviation (MAD)4.6
Skewness-1.8416938
Sum2040.6
Variance122.71498
MonotonicityNot monotonic
2024-04-06T17:19:39.996383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.3 1
 
4.2%
101.8 1
 
4.2%
110.2 1
 
4.2%
106.1 1
 
4.2%
93.1 1
 
4.2%
99.3 1
 
4.2%
94.5 1
 
4.2%
100.6 1
 
4.2%
101.9 1
 
4.2%
55.2 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.2 1
4.2%
76.8 1
4.2%
84.4 1
4.2%
87.5 1
4.2%
88.8 1
4.2%
90.1 1
4.2%
90.9 1
4.2%
91.2 1
4.2%
92.8 1
4.2%
93.1 1
4.2%
ValueCountFrequency (%)
110.2 1
4.2%
106.1 1
4.2%
101.9 1
4.2%
101.8 1
4.2%
100.6 1
4.2%
99.3 1
4.2%
96.4 1
4.2%
95.4 1
4.2%
95.3 1
4.2%
94.5 1
4.2%

2017년 6월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.75
Minimum54.1
Maximum109.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:40.633163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.1
5-th percentile77.19
Q190.5
median94.15
Q398.725
95-th percentile105.805
Maximum109.8
Range55.7
Interquartile range (IQR)8.225

Descriptive statistics

Standard deviation11.217196
Coefficient of variation (CV)0.12094011
Kurtosis6.2793645
Mean92.75
Median Absolute Deviation (MAD)4.6
Skewness-1.9619895
Sum2040.5
Variance125.82548
MonotonicityNot monotonic
2024-04-06T17:19:40.859440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
95.2 1
 
4.2%
101.6 1
 
4.2%
109.8 1
 
4.2%
106.0 1
 
4.2%
93.3 1
 
4.2%
99.5 1
 
4.2%
94.3 1
 
4.2%
100.7 1
 
4.2%
102.1 1
 
4.2%
54.1 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.1 1
4.2%
76.8 1
4.2%
84.6 1
4.2%
87.5 1
4.2%
88.8 1
4.2%
90.3 1
4.2%
91.1 1
4.2%
91.6 1
4.2%
92.9 1
4.2%
93.3 1
4.2%
ValueCountFrequency (%)
109.8 1
4.2%
106.0 1
4.2%
102.1 1
4.2%
101.6 1
4.2%
100.7 1
4.2%
99.5 1
4.2%
96.4 1
4.2%
95.4 1
4.2%
95.2 1
4.2%
94.5 1
4.2%

2017년 7월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.727273
Minimum53.9
Maximum109.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:41.109340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.9
5-th percentile77.195
Q190.6
median94.1
Q398.8
95-th percentile105.525
Maximum109.1
Range55.2
Interquartile range (IQR)8.2

Descriptive statistics

Standard deviation11.183754
Coefficient of variation (CV)0.12060912
Kurtosis6.5031087
Mean92.727273
Median Absolute Deviation (MAD)4.45
Skewness-2.0312987
Sum2040
Variance125.07636
MonotonicityNot monotonic
2024-04-06T17:19:41.335012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94.1 2
 
8.3%
95.1 1
 
4.2%
101.6 1
 
4.2%
109.1 1
 
4.2%
105.7 1
 
4.2%
93.4 1
 
4.2%
99.6 1
 
4.2%
100.8 1
 
4.2%
102.2 1
 
4.2%
53.9 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
53.9 1
4.2%
76.8 1
4.2%
84.7 1
4.2%
87.5 1
4.2%
88.9 1
4.2%
90.4 1
4.2%
91.2 1
4.2%
91.8 1
4.2%
92.9 1
4.2%
93.4 1
4.2%
ValueCountFrequency (%)
109.1 1
4.2%
105.7 1
4.2%
102.2 1
4.2%
101.6 1
4.2%
100.8 1
4.2%
99.6 1
4.2%
96.4 1
4.2%
95.3 1
4.2%
95.1 1
4.2%
94.5 1
4.2%

2017년 8월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.777273
Minimum54.1
Maximum108.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:41.603116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.1
5-th percentile77.4
Q190.775
median94.1
Q398.95
95-th percentile105.35
Maximum108.3
Range54.2
Interquartile range (IQR)8.175

Descriptive statistics

Standard deviation11.07369
Coefficient of variation (CV)0.11935778
Kurtosis6.6829853
Mean92.777273
Median Absolute Deviation (MAD)4.3
Skewness-2.0875829
Sum2041.1
Variance122.6266
MonotonicityNot monotonic
2024-04-06T17:19:41.849392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
94.9 1
 
4.2%
101.6 1
 
4.2%
108.3 1
 
4.2%
105.5 1
 
4.2%
93.7 1
 
4.2%
99.8 1
 
4.2%
93.9 1
 
4.2%
100.8 1
 
4.2%
102.5 1
 
4.2%
54.1 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.1 1
4.2%
77.0 1
4.2%
85.0 1
4.2%
87.5 1
4.2%
89.0 1
4.2%
90.6 1
4.2%
91.3 1
4.2%
92.1 1
4.2%
93.0 1
4.2%
93.7 1
4.2%
ValueCountFrequency (%)
108.3 1
4.2%
105.5 1
4.2%
102.5 1
4.2%
101.6 1
4.2%
100.8 1
4.2%
99.8 1
4.2%
96.4 1
4.2%
95.3 1
4.2%
94.9 1
4.2%
94.5 1
4.2%

2017년 9월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.836364
Minimum54.4
Maximum107.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:42.108029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.4
5-th percentile77.6
Q190.95
median94.1
Q399.1
95-th percentile105.08
Maximum107.8
Range53.4
Interquartile range (IQR)8.15

Descriptive statistics

Standard deviation10.977013
Coefficient of variation (CV)0.11824044
Kurtosis6.7540791
Mean92.836364
Median Absolute Deviation (MAD)4.15
Skewness-2.1115158
Sum2042.4
Variance120.49481
MonotonicityNot monotonic
2024-04-06T17:19:42.382331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
94.8 1
 
4.2%
101.7 1
 
4.2%
107.8 1
 
4.2%
105.2 1
 
4.2%
93.8 1
 
4.2%
100.0 1
 
4.2%
93.7 1
 
4.2%
101.1 1
 
4.2%
102.8 1
 
4.2%
54.4 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.4 1
4.2%
77.2 1
4.2%
85.2 1
4.2%
87.7 1
4.2%
89.1 1
4.2%
90.8 1
4.2%
91.4 1
4.2%
92.2 1
4.2%
93.0 1
4.2%
93.7 1
4.2%
ValueCountFrequency (%)
107.8 1
4.2%
105.2 1
4.2%
102.8 1
4.2%
101.7 1
4.2%
101.1 1
4.2%
100.0 1
4.2%
96.4 1
4.2%
95.2 1
4.2%
94.8 1
4.2%
94.5 1
4.2%

2017년 10월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.872727
Minimum54.6
Maximum107.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:42.632122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.6
5-th percentile77.795
Q190.975
median94.25
Q399.325
95-th percentile104.815
Maximum107.2
Range52.6
Interquartile range (IQR)8.35

Descriptive statistics

Standard deviation10.903044
Coefficient of variation (CV)0.11739769
Kurtosis6.819502
Mean92.872727
Median Absolute Deviation (MAD)4.3
Skewness-2.1368423
Sum2043.2
Variance118.87636
MonotonicityNot monotonic
2024-04-06T17:19:42.869173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94.5 2
 
8.3%
54.6 1
 
4.2%
101.7 1
 
4.2%
107.2 1
 
4.2%
104.9 1
 
4.2%
94.0 1
 
4.2%
100.3 1
 
4.2%
93.6 1
 
4.2%
101.2 1
 
4.2%
103.2 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.6 1
4.2%
77.4 1
4.2%
85.3 1
4.2%
87.7 1
4.2%
89.1 1
4.2%
90.8 1
4.2%
91.5 1
4.2%
92.3 1
4.2%
93.1 1
4.2%
93.6 1
4.2%
ValueCountFrequency (%)
107.2 1
4.2%
104.9 1
4.2%
103.2 1
4.2%
101.7 1
4.2%
101.2 1
4.2%
100.3 1
4.2%
96.4 1
4.2%
95.2 1
4.2%
94.7 1
4.2%
94.5 2
8.3%

2017년 11월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.909091
Minimum55.1
Maximum106.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:43.115232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.1
5-th percentile78.185
Q191.125
median94.35
Q399.45
95-th percentile104.445
Maximum106.3
Range51.2
Interquartile range (IQR)8.325

Descriptive statistics

Standard deviation10.724823
Coefficient of variation (CV)0.11543351
Kurtosis6.9501514
Mean92.909091
Median Absolute Deviation (MAD)4.25
Skewness-2.1737224
Sum2044
Variance115.02182
MonotonicityNot monotonic
2024-04-06T17:19:43.358484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
94.4 2
 
8.3%
55.1 1
 
4.2%
101.7 1
 
4.2%
106.3 1
 
4.2%
104.5 1
 
4.2%
94.3 1
 
4.2%
100.5 1
 
4.2%
93.5 1
 
4.2%
101.4 1
 
4.2%
103.4 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.1 1
4.2%
77.8 1
4.2%
85.5 1
4.2%
87.8 1
4.2%
89.2 1
4.2%
91.0 1
4.2%
91.5 1
4.2%
92.5 1
4.2%
93.1 1
4.2%
93.5 1
4.2%
ValueCountFrequency (%)
106.3 1
4.2%
104.5 1
4.2%
103.4 1
4.2%
101.7 1
4.2%
101.4 1
4.2%
100.5 1
4.2%
96.3 1
4.2%
95.2 1
4.2%
94.6 1
4.2%
94.4 2
8.3%

2017년 12월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.854545
Minimum55.6
Maximum105.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:43.602110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.6
5-th percentile78.175
Q191
median94.25
Q399.5
95-th percentile104.155
Maximum105.9
Range50.3
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation10.599673
Coefficient of variation (CV)0.11415352
Kurtosis6.8365762
Mean92.854545
Median Absolute Deviation (MAD)4.2
Skewness-2.1590412
Sum2042.8
Variance112.35307
MonotonicityNot monotonic
2024-04-06T17:19:43.871305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
94.2 1
 
4.2%
101.7 1
 
4.2%
105.9 1
 
4.2%
104.2 1
 
4.2%
94.3 1
 
4.2%
100.6 1
 
4.2%
93.2 1
 
4.2%
101.3 1
 
4.2%
103.3 1
 
4.2%
55.6 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.6 1
4.2%
77.8 1
4.2%
85.3 1
4.2%
87.9 1
4.2%
89.2 1
4.2%
90.9 1
4.2%
91.3 1
4.2%
92.7 1
4.2%
93.0 1
4.2%
93.2 1
4.2%
ValueCountFrequency (%)
105.9 1
4.2%
104.2 1
4.2%
103.3 1
4.2%
101.7 1
4.2%
101.3 1
4.2%
100.6 1
4.2%
96.2 1
4.2%
95.1 1
4.2%
94.7 1
4.2%
94.4 1
4.2%

2018년 1월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.795455
Minimum56.4
Maximum105.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:44.106811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.4
5-th percentile78.36
Q190.875
median94
Q399.425
95-th percentile103.855
Maximum105.5
Range49.1
Interquartile range (IQR)8.55

Descriptive statistics

Standard deviation10.396404
Coefficient of variation (CV)0.1120357
Kurtosis6.689124
Mean92.795455
Median Absolute Deviation (MAD)4.05
Skewness-2.1329128
Sum2041.5
Variance108.08522
MonotonicityNot monotonic
2024-04-06T17:19:44.344318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92.9 2
 
8.3%
95.0 1
 
4.2%
89.1 1
 
4.2%
101.5 1
 
4.2%
105.5 1
 
4.2%
103.9 1
 
4.2%
94.5 1
 
4.2%
100.6 1
 
4.2%
93.1 1
 
4.2%
101.4 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
56.4 1
4.2%
78.0 1
4.2%
85.2 1
4.2%
87.9 1
4.2%
89.1 1
4.2%
90.8 1
4.2%
91.1 1
4.2%
92.9 2
8.3%
93.1 1
4.2%
93.8 1
4.2%
ValueCountFrequency (%)
105.5 1
4.2%
103.9 1
4.2%
103.0 1
4.2%
101.5 1
4.2%
101.4 1
4.2%
100.6 1
4.2%
95.9 1
4.2%
95.0 1
4.2%
94.8 1
4.2%
94.5 1
4.2%

2018년 2월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.663636
Minimum55.9
Maximum105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:44.564163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.9
5-th percentile78.455
Q190.625
median93.65
Q399.35
95-th percentile103.57
Maximum105
Range49.1
Interquartile range (IQR)8.725

Descriptive statistics

Standard deviation10.431479
Coefficient of variation (CV)0.1125736
Kurtosis6.9110063
Mean92.663636
Median Absolute Deviation (MAD)3.8
Skewness-2.1751836
Sum2038.6
Variance108.81576
MonotonicityNot monotonic
2024-04-06T17:19:44.908419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
92.8 2
 
8.3%
101.5 2
 
8.3%
94.8 2
 
8.3%
89.1 1
 
4.2%
55.9 1
 
4.2%
105.0 1
 
4.2%
103.6 1
 
4.2%
94.7 1
 
4.2%
100.6 1
 
4.2%
103.0 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.9 1
4.2%
78.1 1
4.2%
85.2 1
4.2%
87.9 1
4.2%
89.1 1
4.2%
90.6 1
4.2%
90.7 1
4.2%
92.8 2
8.3%
93.1 1
4.2%
93.2 1
4.2%
ValueCountFrequency (%)
105.0 1
4.2%
103.6 1
4.2%
103.0 1
4.2%
101.5 2
8.3%
100.6 1
4.2%
95.6 1
4.2%
94.8 2
8.3%
94.7 1
4.2%
94.1 1
4.2%
93.2 1
4.2%

2018년 3월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.486364
Minimum55.9
Maximum104.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:45.156318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.9
5-th percentile78.545
Q190.325
median93.45
Q399.2
95-th percentile103.275
Maximum104.4
Range48.5
Interquartile range (IQR)8.875

Descriptive statistics

Standard deviation10.355458
Coefficient of variation (CV)0.11196741
Kurtosis6.9883065
Mean92.486364
Median Absolute Deviation (MAD)3.8
Skewness-2.1900761
Sum2034.7
Variance107.23552
MonotonicityNot monotonic
2024-04-06T17:19:45.463003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
92.6 2
 
8.3%
94.8 2
 
8.3%
55.9 1
 
4.2%
101.3 1
 
4.2%
104.4 1
 
4.2%
103.3 1
 
4.2%
100.5 1
 
4.2%
92.5 1
 
4.2%
101.4 1
 
4.2%
102.8 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.9 1
4.2%
78.2 1
4.2%
85.1 1
4.2%
87.9 1
4.2%
89.0 1
4.2%
90.3 1
4.2%
90.4 1
4.2%
92.5 1
4.2%
92.6 2
8.3%
93.0 1
4.2%
ValueCountFrequency (%)
104.4 1
4.2%
103.3 1
4.2%
102.8 1
4.2%
101.4 1
4.2%
101.3 1
4.2%
100.5 1
4.2%
95.3 1
4.2%
94.8 2
8.3%
94.7 1
4.2%
93.9 1
4.2%

2018년 4월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.227273
Minimum55.7
Maximum103.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:45.677554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.7
5-th percentile78.445
Q190.025
median93.2
Q399.05
95-th percentile102.79
Maximum103.8
Range48.1
Interquartile range (IQR)9.025

Descriptive statistics

Standard deviation10.306086
Coefficient of variation (CV)0.11174662
Kurtosis7.0965165
Mean92.227273
Median Absolute Deviation (MAD)3.8
Skewness-2.2124874
Sum2029
Variance106.21541
MonotonicityNot monotonic
2024-04-06T17:19:45.928019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
91.9 1
 
4.2%
101.0 1
 
4.2%
103.8 1
 
4.2%
102.8 1
 
4.2%
94.8 1
 
4.2%
100.4 1
 
4.2%
92.0 1
 
4.2%
101.1 1
 
4.2%
102.6 1
 
4.2%
55.7 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.7 1
4.2%
78.1 1
4.2%
85.0 1
4.2%
87.9 1
4.2%
88.8 1
4.2%
90.0 1
4.2%
90.1 1
4.2%
91.9 1
4.2%
92.0 1
4.2%
92.3 1
4.2%
ValueCountFrequency (%)
103.8 1
4.2%
102.8 1
4.2%
102.6 1
4.2%
101.1 1
4.2%
101.0 1
4.2%
100.4 1
4.2%
95.0 1
4.2%
94.9 1
4.2%
94.8 1
4.2%
94.4 1
4.2%

2018년 5월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.822727
Minimum54.9
Maximum103.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:46.195049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.9
5-th percentile78.05
Q189.55
median92.85
Q398.9
95-th percentile102.295
Maximum103.1
Range48.2
Interquartile range (IQR)9.35

Descriptive statistics

Standard deviation10.365002
Coefficient of variation (CV)0.11288057
Kurtosis7.2778556
Mean91.822727
Median Absolute Deviation (MAD)3.85
Skewness-2.2520198
Sum2020.1
Variance107.43327
MonotonicityNot monotonic
2024-04-06T17:19:46.449985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
90.7 1
 
4.2%
100.7 1
 
4.2%
103.1 1
 
4.2%
102.3 1
 
4.2%
95.0 1
 
4.2%
100.2 1
 
4.2%
91.4 1
 
4.2%
100.6 1
 
4.2%
102.2 1
 
4.2%
54.9 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.9 1
4.2%
77.7 1
4.2%
84.7 1
4.2%
87.9 1
4.2%
88.5 1
4.2%
89.5 1
4.2%
89.7 1
4.2%
90.7 1
4.2%
91.4 1
4.2%
91.9 1
4.2%
ValueCountFrequency (%)
103.1 1
4.2%
102.3 1
4.2%
102.2 1
4.2%
100.7 1
4.2%
100.6 1
4.2%
100.2 1
4.2%
95.0 1
4.2%
94.9 1
4.2%
94.5 1
4.2%
94.0 1
4.2%

2018년 6월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.436364
Minimum54.1
Maximum102.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:46.690253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.1
5-th percentile77.85
Q189.175
median92.55
Q398.7
95-th percentile101.7
Maximum102.4
Range48.3
Interquartile range (IQR)9.525

Descriptive statistics

Standard deviation10.389397
Coefficient of variation (CV)0.11362434
Kurtosis7.6062736
Mean91.436364
Median Absolute Deviation (MAD)3.85
Skewness-2.319435
Sum2011.6
Variance107.93957
MonotonicityNot monotonic
2024-04-06T17:19:46.968547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
101.7 2
 
8.3%
89.4 1
 
4.2%
100.2 1
 
4.2%
102.4 1
 
4.2%
95.1 1
 
4.2%
99.9 1
 
4.2%
90.8 1
 
4.2%
100.1 1
 
4.2%
54.1 1
 
4.2%
89.8 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.1 1
4.2%
77.5 1
4.2%
84.5 1
4.2%
87.8 1
4.2%
88.3 1
4.2%
89.1 1
4.2%
89.4 1
4.2%
89.8 1
4.2%
90.8 1
4.2%
91.5 1
4.2%
ValueCountFrequency (%)
102.4 1
4.2%
101.7 2
8.3%
100.2 1
4.2%
100.1 1
4.2%
99.9 1
4.2%
95.1 1
4.2%
95.0 1
4.2%
94.0 1
4.2%
93.6 1
4.2%
93.0 1
4.2%

2018년 7월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.095455
Minimum53.1
Maximum101.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:47.313727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.1
5-th percentile77.845
Q188.6
median92.4
Q398.5
95-th percentile101.295
Maximum101.8
Range48.7
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation10.472525
Coefficient of variation (CV)0.11496211
Kurtosis7.9701612
Mean91.095455
Median Absolute Deviation (MAD)4.1
Skewness-2.3874496
Sum2004.1
Variance109.67379
MonotonicityNot monotonic
2024-04-06T17:19:47.589871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
88.6 2
 
8.3%
53.1 1
 
4.2%
99.9 1
 
4.2%
101.8 1
 
4.2%
101.3 1
 
4.2%
95.2 1
 
4.2%
99.6 1
 
4.2%
90.3 1
 
4.2%
99.7 1
 
4.2%
101.2 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
53.1 1
4.2%
77.5 1
4.2%
84.4 1
4.2%
87.8 1
4.2%
88.0 1
4.2%
88.6 2
8.3%
89.1 1
4.2%
90.3 1
4.2%
91.2 1
4.2%
92.1 1
4.2%
ValueCountFrequency (%)
101.8 1
4.2%
101.3 1
4.2%
101.2 1
4.2%
99.9 1
4.2%
99.7 1
4.2%
99.6 1
4.2%
95.2 1
4.2%
95.1 1
4.2%
93.6 1
4.2%
93.3 1
4.2%

2018년 8월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.745455
Minimum52.4
Maximum101.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:47.846840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.4
5-th percentile77.83
Q187.9
median92.35
Q398.225
95-th percentile100.695
Maximum101.1
Range48.7
Interquartile range (IQR)10.325

Descriptive statistics

Standard deviation10.486305
Coefficient of variation (CV)0.11555736
Kurtosis8.2794794
Mean90.745455
Median Absolute Deviation (MAD)4.55
Skewness-2.4514992
Sum1996.4
Variance109.9626
MonotonicityNot monotonic
2024-04-06T17:19:48.282096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
87.8 2
 
8.3%
52.4 1
 
4.2%
99.3 1
 
4.2%
101.1 1
 
4.2%
100.6 1
 
4.2%
95.3 1
 
4.2%
99.4 1
 
4.2%
89.9 1
 
4.2%
99.2 1
 
4.2%
100.7 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
52.4 1
4.2%
77.5 1
4.2%
84.1 1
4.2%
87.3 1
4.2%
87.8 2
8.3%
88.2 1
4.2%
88.9 1
4.2%
89.9 1
4.2%
90.9 1
4.2%
92.3 1
4.2%
ValueCountFrequency (%)
101.1 1
4.2%
100.7 1
4.2%
100.6 1
4.2%
99.4 1
4.2%
99.3 1
4.2%
99.2 1
4.2%
95.3 1
4.2%
95.2 1
4.2%
93.2 1
4.2%
92.9 1
4.2%

2018년 9월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.536364
Minimum52.2
Maximum100.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:48.635686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum52.2
5-th percentile77.825
Q187.85
median92.35
Q397.875
95-th percentile100.385
Maximum100.4
Range48.2
Interquartile range (IQR)10.025

Descriptive statistics

Standard deviation10.447946
Coefficient of variation (CV)0.11540054
Kurtosis8.4135657
Mean90.536364
Median Absolute Deviation (MAD)4.65
Skewness-2.4837851
Sum1991.8
Variance109.15957
MonotonicityNot monotonic
2024-04-06T17:19:48.930255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100.4 2
 
8.3%
89.0 1
 
4.2%
99.0 1
 
4.2%
100.1 1
 
4.2%
95.4 1
 
4.2%
99.4 1
 
4.2%
89.6 1
 
4.2%
98.7 1
 
4.2%
52.2 1
 
4.2%
86.3 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
52.2 1
4.2%
77.5 1
4.2%
84.0 1
4.2%
86.3 1
4.2%
87.6 1
4.2%
87.8 1
4.2%
88.0 1
4.2%
89.0 1
4.2%
89.6 1
4.2%
90.8 1
4.2%
ValueCountFrequency (%)
100.4 2
8.3%
100.1 1
4.2%
99.4 1
4.2%
99.0 1
4.2%
98.7 1
4.2%
95.4 1
4.2%
95.3 1
4.2%
92.9 1
4.2%
92.7 1
4.2%
92.6 1
4.2%

2018년 10월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.413636
Minimum53.1
Maximum99.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:49.181727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53.1
5-th percentile77.92
Q187.925
median92.2
Q397.4
95-th percentile99.795
Maximum99.9
Range46.8
Interquartile range (IQR)9.475

Descriptive statistics

Standard deviation10.209953
Coefficient of variation (CV)0.11292492
Kurtosis8.2314645
Mean90.413636
Median Absolute Deviation (MAD)4.45
Skewness-2.4601289
Sum1989.1
Variance104.24314
MonotonicityNot monotonic
2024-04-06T17:19:49.430530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
85.3 1
 
4.2%
98.7 1
 
4.2%
99.8 1
 
4.2%
99.7 1
 
4.2%
95.6 1
 
4.2%
99.4 1
 
4.2%
89.3 1
 
4.2%
98.0 1
 
4.2%
99.9 1
 
4.2%
53.1 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
53.1 1
4.2%
77.6 1
4.2%
84.0 1
4.2%
85.3 1
4.2%
87.6 1
4.2%
87.9 1
4.2%
88.0 1
4.2%
89.0 1
4.2%
89.3 1
4.2%
90.7 1
4.2%
ValueCountFrequency (%)
99.9 1
4.2%
99.8 1
4.2%
99.7 1
4.2%
99.4 1
4.2%
98.7 1
4.2%
98.0 1
4.2%
95.6 1
4.2%
95.5 1
4.2%
92.9 1
4.2%
92.7 1
4.2%

2018년 11월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.345455
Minimum55.7
Maximum99.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:49.694051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.7
5-th percentile78.11
Q187.925
median92.05
Q396.825
95-th percentile99.3
Maximum99.4
Range43.7
Interquartile range (IQR)8.9

Descriptive statistics

Standard deviation9.6854691
Coefficient of variation (CV)0.10720483
Kurtosis7.3499052
Mean90.345455
Median Absolute Deviation (MAD)4.35
Skewness-2.3052874
Sum1987.6
Variance93.808312
MonotonicityNot monotonic
2024-04-06T17:19:49.968048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
99.3 3
 
12.5%
77.8 1
 
4.2%
98.6 1
 
4.2%
95.7 1
 
4.2%
89.1 1
 
4.2%
97.2 1
 
4.2%
99.4 1
 
4.2%
55.7 1
 
4.2%
84.2 1
 
4.2%
90.6 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.7 1
4.2%
77.8 1
4.2%
84.0 1
4.2%
84.2 1
4.2%
87.5 1
4.2%
87.9 1
4.2%
88.0 1
4.2%
88.9 1
4.2%
89.1 1
4.2%
90.6 1
4.2%
ValueCountFrequency (%)
99.4 1
 
4.2%
99.3 3
12.5%
98.6 1
 
4.2%
97.2 1
 
4.2%
95.7 1
 
4.2%
95.6 1
 
4.2%
92.9 1
 
4.2%
92.5 1
 
4.2%
92.2 1
 
4.2%
91.9 1
 
4.2%

2018년 12월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.177273
Minimum57.5
Maximum99.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:50.261693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57.5
5-th percentile78.16
Q187.65
median91.85
Q396.4
95-th percentile98.7
Maximum99.3
Range41.8
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation9.315217
Coefficient of variation (CV)0.10329894
Kurtosis6.6109076
Mean90.177273
Median Absolute Deviation (MAD)4.45
Skewness-2.1745561
Sum1983.9
Variance86.773268
MonotonicityNot monotonic
2024-04-06T17:19:50.510589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
98.7 3
 
12.5%
95.8 2
 
8.3%
87.3 1
 
4.2%
83.1 1
 
4.2%
98.5 1
 
4.2%
99.3 1
 
4.2%
88.9 1
 
4.2%
96.6 1
 
4.2%
92.0 1
 
4.2%
57.5 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
57.5 1
4.2%
77.9 1
4.2%
83.1 1
4.2%
83.9 1
4.2%
87.3 1
4.2%
87.5 1
4.2%
88.1 1
4.2%
88.7 1
4.2%
88.9 1
4.2%
90.4 1
4.2%
ValueCountFrequency (%)
99.3 1
 
4.2%
98.7 3
12.5%
98.5 1
 
4.2%
96.6 1
 
4.2%
95.8 2
8.3%
92.7 1
 
4.2%
92.1 1
 
4.2%
92.0 1
 
4.2%
91.7 1
 
4.2%
90.4 1
 
4.2%

2019년 1월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.936364
Minimum58.2
Maximum99.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:50.863971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.2
5-th percentile78.31
Q187.4
median91.6
Q395.975
95-th percentile98.295
Maximum99.1
Range40.9
Interquartile range (IQR)8.575

Descriptive statistics

Standard deviation9.1168889
Coefficient of variation (CV)0.10137044
Kurtosis6.3271247
Mean89.936364
Median Absolute Deviation (MAD)4.4
Skewness-2.1203427
Sum1978.6
Variance83.117662
MonotonicityNot monotonic
2024-04-06T17:19:51.157408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
87.2 2
 
8.3%
98.2 2
 
8.3%
82.3 1
 
4.2%
98.1 1
 
4.2%
98.3 1
 
4.2%
95.9 1
 
4.2%
99.1 1
 
4.2%
88.7 1
 
4.2%
96.0 1
 
4.2%
58.2 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.2 1
4.2%
78.1 1
4.2%
82.3 1
4.2%
83.7 1
4.2%
87.2 2
8.3%
88.0 1
4.2%
88.3 1
4.2%
88.7 1
4.2%
90.1 1
4.2%
91.5 1
4.2%
ValueCountFrequency (%)
99.1 1
4.2%
98.3 1
4.2%
98.2 2
8.3%
98.1 1
4.2%
96.0 1
4.2%
95.9 1
4.2%
95.8 1
4.2%
92.2 1
4.2%
91.8 1
4.2%
91.7 1
4.2%

2019년 2월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.7
Minimum58.5
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:51.409343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.5
5-th percentile78.285
Q187.3
median91.35
Q395.875
95-th percentile97.995
Maximum99
Range40.5
Interquartile range (IQR)8.575

Descriptive statistics

Standard deviation9.0088845
Coefficient of variation (CV)0.1004335
Kurtosis6.1478544
Mean89.7
Median Absolute Deviation (MAD)4.45
Skewness-2.0826629
Sum1973.4
Variance81.16
MonotonicityNot monotonic
2024-04-06T17:19:51.672144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
91.6 2
 
8.3%
97.9 2
 
8.3%
81.8 1
 
4.2%
98.0 1
 
4.2%
97.6 1
 
4.2%
95.9 1
 
4.2%
99.0 1
 
4.2%
88.4 1
 
4.2%
95.4 1
 
4.2%
58.5 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.5 1
4.2%
78.1 1
4.2%
81.8 1
4.2%
83.5 1
4.2%
86.9 1
4.2%
87.1 1
4.2%
87.9 1
4.2%
88.0 1
4.2%
88.4 1
4.2%
89.8 1
4.2%
ValueCountFrequency (%)
99.0 1
4.2%
98.0 1
4.2%
97.9 2
8.3%
97.6 1
4.2%
95.9 1
4.2%
95.8 1
4.2%
95.4 1
4.2%
91.6 2
8.3%
91.4 1
4.2%
91.3 1
4.2%

2019년 3월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.4
Minimum58.1
Maximum98.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:51.938254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile78.25
Q187.05
median91.05
Q395.875
95-th percentile97.785
Maximum98.7
Range40.6
Interquartile range (IQR)8.825

Descriptive statistics

Standard deviation9.0150668
Coefficient of variation (CV)0.10083967
Kurtosis6.22659
Mean89.4
Median Absolute Deviation (MAD)4.65
Skewness-2.0966678
Sum1966.8
Variance81.271429
MonotonicityNot monotonic
2024-04-06T17:19:52.223103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
91.1 2
 
8.3%
58.1 1
 
4.2%
97.8 1
 
4.2%
97.2 1
 
4.2%
97.5 1
 
4.2%
95.9 1
 
4.2%
98.7 1
 
4.2%
88.2 1
 
4.2%
94.8 1
 
4.2%
97.4 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.1 1
4.2%
78.1 1
4.2%
81.1 1
4.2%
83.3 1
4.2%
86.5 1
4.2%
86.9 1
4.2%
87.5 1
4.2%
88.1 1
4.2%
88.2 1
4.2%
89.4 1
4.2%
ValueCountFrequency (%)
98.7 1
4.2%
97.8 1
4.2%
97.5 1
4.2%
97.4 1
4.2%
97.2 1
4.2%
95.9 1
4.2%
95.8 1
4.2%
94.8 1
4.2%
91.3 1
4.2%
91.1 2
8.3%

2019년 4월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.013636
Minimum57
Maximum98.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:52.550472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum57
5-th percentile78.215
Q186.775
median90.6
Q395.95
95-th percentile97.38
Maximum98.3
Range41.3
Interquartile range (IQR)9.175

Descriptive statistics

Standard deviation9.1212622
Coefficient of variation (CV)0.10247039
Kurtosis6.5978888
Mean89.013636
Median Absolute Deviation (MAD)4.95
Skewness-2.1668712
Sum1958.3
Variance83.197424
MonotonicityNot monotonic
2024-04-06T17:19:53.383543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
80.4 1
 
4.2%
97.4 1
 
4.2%
96.6 1
 
4.2%
97.0 1
 
4.2%
96.0 1
 
4.2%
98.3 1
 
4.2%
88.0 1
 
4.2%
94.0 1
 
4.2%
96.9 1
 
4.2%
57.0 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
57.0 1
4.2%
78.1 1
4.2%
80.4 1
4.2%
83.0 1
4.2%
85.9 1
4.2%
86.7 1
4.2%
87.0 1
4.2%
88.0 1
4.2%
88.2 1
4.2%
89.0 1
4.2%
ValueCountFrequency (%)
98.3 1
4.2%
97.4 1
4.2%
97.0 1
4.2%
96.9 1
4.2%
96.6 1
4.2%
96.0 1
4.2%
95.8 1
4.2%
94.0 1
4.2%
91.0 1
4.2%
90.8 1
4.2%

2019년 5월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.736364
Minimum56.4
Maximum98.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:53.597211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.4
5-th percentile78.28
Q186.65
median90.35
Q395.85
95-th percentile97.165
Maximum98.1
Range41.7
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation9.1324928
Coefficient of variation (CV)0.10291714
Kurtosis6.9201332
Mean88.736364
Median Absolute Deviation (MAD)5.05
Skewness-2.2301601
Sum1952.2
Variance83.402424
MonotonicityNot monotonic
2024-04-06T17:19:53.813032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
90.6 2
 
8.3%
56.4 1
 
4.2%
97.2 1
 
4.2%
95.9 1
 
4.2%
96.5 1
 
4.2%
96.1 1
 
4.2%
98.1 1
 
4.2%
87.9 1
 
4.2%
93.5 1
 
4.2%
96.0 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
56.4 1
4.2%
78.2 1
4.2%
79.8 1
4.2%
82.9 1
4.2%
85.6 1
4.2%
86.6 1
4.2%
86.8 1
4.2%
87.9 1
4.2%
88.2 1
4.2%
88.8 1
4.2%
ValueCountFrequency (%)
98.1 1
4.2%
97.2 1
4.2%
96.5 1
4.2%
96.1 1
4.2%
96.0 1
4.2%
95.9 1
4.2%
95.7 1
4.2%
93.5 1
4.2%
90.7 1
4.2%
90.6 2
8.3%

2019년 6월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.418182
Minimum55.6
Maximum97.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:54.030739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.6
5-th percentile78.345
Q186.45
median90.05
Q395.3
95-th percentile96.86
Maximum97.8
Range42.2
Interquartile range (IQR)8.85

Descriptive statistics

Standard deviation9.1735456
Coefficient of variation (CV)0.1037518
Kurtosis7.3158346
Mean88.418182
Median Absolute Deviation (MAD)4.85
Skewness-2.3035361
Sum1945.2
Variance84.153939
MonotonicityNot monotonic
2024-04-06T17:19:54.262548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
90.3 2
 
8.3%
96.1 2
 
8.3%
79.2 1
 
4.2%
96.9 1
 
4.2%
95.0 1
 
4.2%
97.8 1
 
4.2%
87.7 1
 
4.2%
92.9 1
 
4.2%
95.4 1
 
4.2%
55.6 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.6 1
4.2%
78.3 1
4.2%
79.2 1
4.2%
82.8 1
4.2%
85.3 1
4.2%
86.4 1
4.2%
86.6 1
4.2%
87.7 1
4.2%
88.2 1
4.2%
88.5 1
4.2%
ValueCountFrequency (%)
97.8 1
4.2%
96.9 1
4.2%
96.1 2
8.3%
95.5 1
4.2%
95.4 1
4.2%
95.0 1
4.2%
92.9 1
4.2%
90.5 1
4.2%
90.3 2
8.3%
89.8 1
4.2%

2019년 7월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.145455
Minimum55.2
Maximum97.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:54.439254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.2
5-th percentile78.415
Q186.25
median89.65
Q394.65
95-th percentile96.48
Maximum97.4
Range42.2
Interquartile range (IQR)8.4

Descriptive statistics

Standard deviation9.1516705
Coefficient of variation (CV)0.10382465
Kurtosis7.5663666
Mean88.145455
Median Absolute Deviation (MAD)4.6
Skewness-2.3510791
Sum1939.2
Variance83.753074
MonotonicityNot monotonic
2024-04-06T17:19:54.646287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
78.7 1
 
4.2%
96.5 1
 
4.2%
94.2 1
 
4.2%
95.8 1
 
4.2%
96.1 1
 
4.2%
97.4 1
 
4.2%
87.7 1
 
4.2%
92.4 1
 
4.2%
94.8 1
 
4.2%
55.2 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.2 1
4.2%
78.4 1
4.2%
78.7 1
4.2%
82.7 1
4.2%
85.0 1
4.2%
86.2 1
4.2%
86.4 1
4.2%
87.7 1
4.2%
88.2 1
4.2%
88.3 1
4.2%
ValueCountFrequency (%)
97.4 1
4.2%
96.5 1
4.2%
96.1 1
4.2%
95.8 1
4.2%
95.4 1
4.2%
94.8 1
4.2%
94.2 1
4.2%
92.4 1
4.2%
90.5 1
4.2%
90.0 1
4.2%

2019년 8월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean87.954545
Minimum54.9
Maximum97.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:54.855589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.9
5-th percentile78.32
Q186.175
median89.45
Q393.875
95-th percentile96.1
Maximum97.1
Range42.2
Interquartile range (IQR)7.7

Descriptive statistics

Standard deviation9.1022094
Coefficient of variation (CV)0.10348765
Kurtosis7.9281261
Mean87.954545
Median Absolute Deviation (MAD)4.25
Skewness-2.4207164
Sum1935
Variance82.850216
MonotonicityNot monotonic
2024-04-06T17:19:55.052824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
96.1 2
 
8.3%
86.4 1
 
4.2%
93.5 1
 
4.2%
95.4 1
 
4.2%
97.1 1
 
4.2%
87.7 1
 
4.2%
92.0 1
 
4.2%
94.0 1
 
4.2%
54.9 1
 
4.2%
78.3 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.9 1
4.2%
78.3 1
4.2%
78.7 1
4.2%
82.6 1
4.2%
85.0 1
4.2%
86.1 1
4.2%
86.4 1
4.2%
87.7 1
4.2%
88.1 1
4.2%
88.3 1
4.2%
ValueCountFrequency (%)
97.1 1
4.2%
96.1 2
8.3%
95.4 1
4.2%
95.3 1
4.2%
94.0 1
4.2%
93.5 1
4.2%
92.0 1
4.2%
90.7 1
4.2%
89.8 1
4.2%
89.7 1
4.2%

2019년 9월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean87.836364
Minimum54.8
Maximum96.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:55.277869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum54.8
5-th percentile78.05
Q186.225
median89.25
Q393.325
95-th percentile96.075
Maximum96.7
Range41.9
Interquartile range (IQR)7.1

Descriptive statistics

Standard deviation9.0241763
Coefficient of variation (CV)0.1027385
Kurtosis8.2766435
Mean87.836364
Median Absolute Deviation (MAD)4
Skewness-2.4890191
Sum1932.4
Variance81.435758
MonotonicityNot monotonic
2024-04-06T17:19:55.545797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
95.2 2
 
8.3%
78.0 1
 
4.2%
95.6 1
 
4.2%
93.1 1
 
4.2%
96.1 1
 
4.2%
96.7 1
 
4.2%
87.7 1
 
4.2%
91.7 1
 
4.2%
93.4 1
 
4.2%
54.8 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
54.8 1
4.2%
78.0 1
4.2%
79.0 1
4.2%
82.7 1
4.2%
85.1 1
4.2%
86.1 1
4.2%
86.6 1
4.2%
87.7 1
4.2%
88.1 1
4.2%
88.4 1
4.2%
ValueCountFrequency (%)
96.7 1
4.2%
96.1 1
4.2%
95.6 1
4.2%
95.2 2
8.3%
93.4 1
4.2%
93.1 1
4.2%
91.7 1
4.2%
90.8 1
4.2%
89.6 1
4.2%
89.4 1
4.2%

2019년 10월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean87.872727
Minimum55
Maximum96.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:55.761273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55
5-th percentile78.16
Q186.45
median89.25
Q393
95-th percentile96.055
Maximum96.5
Range41.5
Interquartile range (IQR)6.55

Descriptive statistics

Standard deviation8.9033531
Coefficient of variation (CV)0.10132101
Kurtosis8.6572498
Mean87.872727
Median Absolute Deviation (MAD)3.6
Skewness-2.5632286
Sum1933.2
Variance79.269697
MonotonicityNot monotonic
2024-04-06T17:19:55.988401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
95.2 2
 
8.3%
78.1 1
 
4.2%
92.7 1
 
4.2%
95.0 1
 
4.2%
96.1 1
 
4.2%
96.5 1
 
4.2%
87.8 1
 
4.2%
91.4 1
 
4.2%
93.1 1
 
4.2%
55.0 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.0 1
4.2%
78.1 1
4.2%
79.3 1
4.2%
82.9 1
4.2%
85.5 1
4.2%
86.3 1
4.2%
86.9 1
4.2%
87.8 1
4.2%
88.3 1
4.2%
88.8 1
4.2%
ValueCountFrequency (%)
96.5 1
4.2%
96.1 1
4.2%
95.2 2
8.3%
95.0 1
4.2%
93.1 1
4.2%
92.7 1
4.2%
91.4 1
4.2%
91.1 1
4.2%
89.5 1
4.2%
89.3 1
4.2%

2019년 11월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean87.981818
Minimum55.3
Maximum96.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:56.229819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum55.3
5-th percentile78.465
Q186.625
median89.3
Q392.75
95-th percentile96.155
Maximum96.3
Range41
Interquartile range (IQR)6.125

Descriptive statistics

Standard deviation8.7795561
Coefficient of variation (CV)0.099788301
Kurtosis9.0305026
Mean87.981818
Median Absolute Deviation (MAD)3.35
Skewness-2.6337921
Sum1935.6
Variance77.080606
MonotonicityNot monotonic
2024-04-06T17:19:56.566813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
94.8 2
 
8.3%
89.2 2
 
8.3%
78.4 1
 
4.2%
92.6 1
 
4.2%
96.2 1
 
4.2%
96.3 1
 
4.2%
88.0 1
 
4.2%
91.3 1
 
4.2%
92.8 1
 
4.2%
55.3 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
55.3 1
4.2%
78.4 1
4.2%
79.7 1
4.2%
83.1 1
4.2%
85.9 1
4.2%
86.4 1
4.2%
87.3 1
4.2%
88.0 1
4.2%
88.5 1
4.2%
89.2 2
8.3%
ValueCountFrequency (%)
96.3 1
4.2%
96.2 1
4.2%
95.3 1
4.2%
94.8 2
8.3%
92.8 1
4.2%
92.6 1
4.2%
91.5 1
4.2%
91.3 1
4.2%
89.6 1
4.2%
89.4 1
4.2%

2019년 12월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.190909
Minimum56.1
Maximum96.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:56.834836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum56.1
5-th percentile78.965
Q186.975
median89.55
Q392.7
95-th percentile96.155
Maximum96.2
Range40.1
Interquartile range (IQR)5.725

Descriptive statistics

Standard deviation8.5659853
Coefficient of variation (CV)0.097130026
Kurtosis9.3297094
Mean88.190909
Median Absolute Deviation (MAD)3.15
Skewness-2.6917306
Sum1940.2
Variance73.376104
MonotonicityNot monotonic
2024-04-06T17:19:57.083767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
96.2 2
 
8.3%
92.7 2
 
8.3%
80.2 1
 
4.2%
94.5 1
 
4.2%
94.6 1
 
4.2%
88.2 1
 
4.2%
91.3 1
 
4.2%
56.1 1
 
4.2%
78.9 1
 
4.2%
88.8 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
56.1 1
4.2%
78.9 1
4.2%
80.2 1
4.2%
83.4 1
4.2%
86.4 1
4.2%
86.7 1
4.2%
87.8 1
4.2%
88.2 1
4.2%
88.8 1
4.2%
89.4 1
4.2%
ValueCountFrequency (%)
96.2 2
8.3%
95.3 1
4.2%
94.6 1
4.2%
94.5 1
4.2%
92.7 2
8.3%
92.0 1
4.2%
91.3 1
4.2%
89.7 1
4.2%
89.6 1
4.2%
89.5 1
4.2%

2020년 1월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.545455
Minimum58.1
Maximum96.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:57.395958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.1
5-th percentile79.58
Q187.4
median89.9
Q392.775
95-th percentile96.06
Maximum96.3
Range38.2
Interquartile range (IQR)5.375

Descriptive statistics

Standard deviation8.1485451
Coefficient of variation (CV)0.09202669
Kurtosis9.2034827
Mean88.545455
Median Absolute Deviation (MAD)2.85
Skewness-2.6733624
Sum1948
Variance66.398788
MonotonicityNot monotonic
2024-04-06T17:19:57.747389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
94.5 2
 
8.3%
89.9 2
 
8.3%
92.7 2
 
8.3%
79.5 1
 
4.2%
92.8 1
 
4.2%
96.3 1
 
4.2%
96.1 1
 
4.2%
88.4 1
 
4.2%
91.4 1
 
4.2%
58.1 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.1 1
4.2%
79.5 1
4.2%
81.1 1
4.2%
83.7 1
4.2%
86.9 1
4.2%
87.1 1
4.2%
88.3 1
4.2%
88.4 1
4.2%
89.2 1
4.2%
89.6 1
4.2%
ValueCountFrequency (%)
96.3 1
4.2%
96.1 1
4.2%
95.3 1
4.2%
94.5 2
8.3%
92.8 1
4.2%
92.7 2
8.3%
91.4 1
4.2%
90.0 1
4.2%
89.9 2
8.3%
89.6 1
4.2%

2020년 2월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean88.777273
Minimum58.7
Maximum96.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:58.047593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum58.7
5-th percentile80.28
Q187.7
median90.2
Q392.9
95-th percentile95.97
Maximum96.4
Range37.7
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation7.9642016
Coefficient of variation (CV)0.089709915
Kurtosis9.7167567
Mean88.777273
Median Absolute Deviation (MAD)2.75
Skewness-2.7592023
Sum1953.1
Variance63.428506
MonotonicityNot monotonic
2024-04-06T17:19:58.297516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
90.2 3
 
12.5%
87.4 2
 
8.3%
92.9 2
 
8.3%
92.7 1
 
4.2%
94.2 1
 
4.2%
94.4 1
 
4.2%
96.4 1
 
4.2%
96.0 1
 
4.2%
88.6 1
 
4.2%
91.5 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
58.7 1
 
4.2%
80.2 1
 
4.2%
81.8 1
 
4.2%
84.1 1
 
4.2%
87.4 2
8.3%
88.6 1
 
4.2%
88.7 1
 
4.2%
89.5 1
 
4.2%
89.7 1
 
4.2%
90.2 3
12.5%
ValueCountFrequency (%)
96.4 1
 
4.2%
96.0 1
 
4.2%
95.4 1
 
4.2%
94.4 1
 
4.2%
94.2 1
 
4.2%
92.9 2
8.3%
92.7 1
 
4.2%
91.5 1
 
4.2%
90.2 3
12.5%
89.7 1
 
4.2%

2020년 3월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.063636
Minimum60.6
Maximum96.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:58.538841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60.6
5-th percentile80.89
Q188.1
median90.35
Q393.075
95-th percentile95.97
Maximum96.4
Range35.8
Interquartile range (IQR)4.975

Descriptive statistics

Standard deviation7.5464621
Coefficient of variation (CV)0.084731125
Kurtosis9.6597048
Mean89.063636
Median Absolute Deviation (MAD)2.65
Skewness-2.7452923
Sum1959.4
Variance56.949091
MonotonicityNot monotonic
2024-04-06T17:19:58.809581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
89.7 2
 
8.3%
90.4 1
 
4.2%
87.7 1
 
4.2%
94.0 1
 
4.2%
93.0 1
 
4.2%
94.4 1
 
4.2%
96.4 1
 
4.2%
96.0 1
 
4.2%
88.7 1
 
4.2%
91.6 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
60.6 1
4.2%
80.8 1
4.2%
82.6 1
4.2%
84.7 1
4.2%
87.7 1
4.2%
87.9 1
4.2%
88.7 1
4.2%
89.1 1
4.2%
89.7 2
8.3%
90.3 1
4.2%
ValueCountFrequency (%)
96.4 1
4.2%
96.0 1
4.2%
95.4 1
4.2%
94.4 1
4.2%
94.0 1
4.2%
93.1 1
4.2%
93.0 1
4.2%
92.8 1
4.2%
91.6 1
4.2%
90.5 1
4.2%

2020년 4월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.231818
Minimum61.5
Maximum96.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:59.065769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.5
5-th percentile81.29
Q188.275
median90.35
Q393.2
95-th percentile95.97
Maximum96.5
Range35
Interquartile range (IQR)4.925

Descriptive statistics

Standard deviation7.3271437
Coefficient of variation (CV)0.082113576
Kurtosis9.8376653
Mean89.231818
Median Absolute Deviation (MAD)2.65
Skewness-2.7695846
Sum1963.1
Variance53.687035
MonotonicityNot monotonic
2024-04-06T17:19:59.309453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
93.2 2
 
8.3%
81.2 1
 
4.2%
93.8 1
 
4.2%
94.3 1
 
4.2%
96.5 1
 
4.2%
96.0 1
 
4.2%
88.8 1
 
4.2%
91.6 1
 
4.2%
92.8 1
 
4.2%
61.5 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.5 1
4.2%
81.2 1
4.2%
83.0 1
4.2%
85.5 1
4.2%
88.0 1
4.2%
88.1 1
4.2%
88.8 1
4.2%
89.3 1
4.2%
89.7 1
4.2%
89.9 1
4.2%
ValueCountFrequency (%)
96.5 1
4.2%
96.0 1
4.2%
95.4 1
4.2%
94.3 1
4.2%
93.8 1
4.2%
93.2 2
8.3%
92.8 1
4.2%
91.6 1
4.2%
90.6 1
4.2%
90.4 1
4.2%

2020년 5월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.331818
Minimum61.8
Maximum96.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:19:59.548968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum61.8
5-th percentile81.495
Q188.425
median90.45
Q393.275
95-th percentile95.97
Maximum96.6
Range34.8
Interquartile range (IQR)4.85

Descriptive statistics

Standard deviation7.2509695
Coefficient of variation (CV)0.081168946
Kurtosis10.000453
Mean89.331818
Median Absolute Deviation (MAD)2.6
Skewness-2.7952535
Sum1965.3
Variance52.576558
MonotonicityNot monotonic
2024-04-06T17:19:59.822345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
81.4 1
 
4.2%
93.6 1
 
4.2%
93.3 1
 
4.2%
94.3 1
 
4.2%
96.6 1
 
4.2%
96.0 1
 
4.2%
88.8 1
 
4.2%
91.8 1
 
4.2%
92.9 1
 
4.2%
61.8 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
61.8 1
4.2%
81.4 1
4.2%
83.3 1
4.2%
85.8 1
4.2%
88.1 1
4.2%
88.3 1
4.2%
88.8 1
4.2%
89.5 1
4.2%
89.6 1
4.2%
90.0 1
4.2%
ValueCountFrequency (%)
96.6 1
4.2%
96.0 1
4.2%
95.4 1
4.2%
94.3 1
4.2%
93.6 1
4.2%
93.3 1
4.2%
93.2 1
4.2%
92.9 1
4.2%
91.8 1
4.2%
90.7 1
4.2%

2020년 6월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean89.686364
Minimum62.4
Maximum96.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:00.113992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum62.4
5-th percentile82.225
Q188.925
median90.65
Q393.5
95-th percentile95.97
Maximum96.8
Range34.4
Interquartile range (IQR)4.575

Descriptive statistics

Standard deviation7.0872989
Coefficient of variation (CV)0.079023149
Kurtosis10.717359
Mean89.686364
Median Absolute Deviation (MAD)2.6
Skewness-2.9123669
Sum1973.1
Variance50.229805
MonotonicityNot monotonic
2024-04-06T17:20:00.440034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
93.5 3
 
12.5%
84.6 1
 
4.2%
94.3 1
 
4.2%
96.8 1
 
4.2%
96.0 1
 
4.2%
89.0 1
 
4.2%
92.7 1
 
4.2%
93.0 1
 
4.2%
62.4 1
 
4.2%
82.1 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
62.4 1
4.2%
82.1 1
4.2%
84.6 1
4.2%
86.3 1
4.2%
88.5 1
4.2%
88.9 1
4.2%
89.0 1
4.2%
89.7 1
4.2%
90.0 1
4.2%
90.4 1
4.2%
ValueCountFrequency (%)
96.8 1
 
4.2%
96.0 1
 
4.2%
95.4 1
 
4.2%
94.3 1
 
4.2%
93.5 3
12.5%
93.0 1
 
4.2%
92.7 1
 
4.2%
91.2 1
 
4.2%
90.8 1
 
4.2%
90.5 1
 
4.2%

2020년 7월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.154545
Minimum65.1
Maximum97
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:00.845910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum65.1
5-th percentile83.125
Q189.7
median91.05
Q393.625
95-th percentile96.065
Maximum97
Range31.9
Interquartile range (IQR)3.925

Descriptive statistics

Standard deviation6.5617018
Coefficient of variation (CV)0.072782817
Kurtosis10.285307
Mean90.154545
Median Absolute Deviation (MAD)2.3
Skewness-2.8369139
Sum1983.4
Variance43.055931
MonotonicityNot monotonic
2024-04-06T17:20:01.180343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
89.7 2
 
8.3%
93.2 2
 
8.3%
90.6 2
 
8.3%
83.0 1
 
4.2%
93.4 1
 
4.2%
93.7 1
 
4.2%
94.4 1
 
4.2%
97.0 1
 
4.2%
96.1 1
 
4.2%
65.1 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
65.1 1
4.2%
83.0 1
4.2%
85.5 1
4.2%
86.5 1
4.2%
88.8 1
4.2%
89.7 2
8.3%
89.8 1
4.2%
90.6 2
8.3%
90.9 1
4.2%
91.2 1
4.2%
ValueCountFrequency (%)
97.0 1
4.2%
96.1 1
4.2%
95.4 1
4.2%
94.4 1
4.2%
93.9 1
4.2%
93.7 1
4.2%
93.4 1
4.2%
93.2 2
8.3%
91.7 1
4.2%
91.2 1
4.2%

2020년 8월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean90.804545
Minimum69.7
Maximum97.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:01.471513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum69.7
5-th percentile84.32
Q190.1
median91.6
Q394
95-th percentile96.165
Maximum97.2
Range27.5
Interquartile range (IQR)3.9

Descriptive statistics

Standard deviation5.7086799
Coefficient of variation (CV)0.062867777
Kurtosis8.7337754
Mean90.804545
Median Absolute Deviation (MAD)2.25
Skewness-2.5635312
Sum1997.7
Variance32.589026
MonotonicityNot monotonic
2024-04-06T17:20:01.690993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
84.2 1
 
4.2%
93.3 1
 
4.2%
94.1 1
 
4.2%
94.7 1
 
4.2%
97.2 1
 
4.2%
96.2 1
 
4.2%
90.4 1
 
4.2%
93.7 1
 
4.2%
93.5 1
 
4.2%
69.7 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
69.7 1
4.2%
84.2 1
4.2%
86.6 1
4.2%
86.7 1
4.2%
89.2 1
4.2%
90.0 1
4.2%
90.4 1
4.2%
90.6 1
4.2%
90.8 1
4.2%
91.3 1
4.2%
ValueCountFrequency (%)
97.2 1
4.2%
96.2 1
4.2%
95.5 1
4.2%
94.7 1
4.2%
94.5 1
4.2%
94.1 1
4.2%
93.7 1
4.2%
93.5 1
4.2%
93.3 1
4.2%
92.3 1
4.2%

2020년 9월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean91.618182
Minimum74.6
Maximum97.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:01.917778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.6
5-th percentile85.975
Q190.6
median92.25
Q394.45
95-th percentile96.365
Maximum97.4
Range22.8
Interquartile range (IQR)3.85

Descriptive statistics

Standard deviation4.7988725
Coefficient of variation (CV)0.052379041
Kurtosis7.0221472
Mean91.618182
Median Absolute Deviation (MAD)2.15
Skewness-2.2454198
Sum2015.6
Variance23.029177
MonotonicityNot monotonic
2024-04-06T17:20:02.158733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
92.2 2
 
8.3%
89.8 1
 
4.2%
93.1 1
 
4.2%
93.3 1
 
4.2%
94.5 1
 
4.2%
95.0 1
 
4.2%
97.4 1
 
4.2%
96.4 1
 
4.2%
91.2 1
 
4.2%
94.3 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
74.6 1
4.2%
85.9 1
4.2%
87.4 1
4.2%
87.8 1
4.2%
89.8 1
4.2%
90.4 1
4.2%
91.2 1
4.2%
91.3 1
4.2%
91.7 1
4.2%
92.2 2
8.3%
ValueCountFrequency (%)
97.4 1
4.2%
96.4 1
4.2%
95.7 1
4.2%
95.1 1
4.2%
95.0 1
4.2%
94.5 1
4.2%
94.3 1
4.2%
94.0 1
4.2%
93.3 1
4.2%
93.1 1
4.2%

2020년 10월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.372727
Minimum79.6
Maximum97.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:02.495446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum79.6
5-th percentile87.35
Q191.1
median92.9
Q394.875
95-th percentile96.565
Maximum97.6
Range18
Interquartile range (IQR)3.775

Descriptive statistics

Standard deviation3.9008158
Coefficient of variation (CV)0.042229085
Kurtosis4.5127428
Mean92.372727
Median Absolute Deviation (MAD)2
Skewness-1.7436155
Sum2032.2
Variance15.216364
MonotonicityNot monotonic
2024-04-06T17:20:02.823333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
92.9 3
 
12.5%
93.7 1
 
4.2%
94.6 1
 
4.2%
93.3 1
 
4.2%
94.8 1
 
4.2%
95.1 1
 
4.2%
97.6 1
 
4.2%
96.6 1
 
4.2%
91.8 1
 
4.2%
94.9 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
79.6 1
 
4.2%
87.3 1
 
4.2%
88.3 1
 
4.2%
88.9 1
 
4.2%
90.5 1
 
4.2%
90.9 1
 
4.2%
91.7 1
 
4.2%
91.8 1
 
4.2%
92.5 1
 
4.2%
92.9 3
12.5%
ValueCountFrequency (%)
97.6 1
4.2%
96.6 1
4.2%
95.9 1
4.2%
95.5 1
4.2%
95.1 1
4.2%
94.9 1
4.2%
94.8 1
4.2%
94.6 1
4.2%
93.7 1
4.2%
93.3 1
4.2%

2020년 11월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean93.363636
Minimum83.8
Maximum97.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:03.039592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.8
5-th percentile89.14
Q192.075
median93.8
Q395.575
95-th percentile96.87
Maximum97.9
Range14.1
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.1620586
Coefficient of variation (CV)0.033868203
Kurtosis2.7416295
Mean93.363636
Median Absolute Deviation (MAD)1.8
Skewness-1.3490013
Sum2054
Variance9.9986147
MonotonicityNot monotonic
2024-04-06T17:20:03.375259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
93.8 2
 
8.3%
96.3 2
 
8.3%
95.6 2
 
8.3%
89.9 2
 
8.3%
93.5 1
 
4.2%
94.5 1
 
4.2%
91.9 1
 
4.2%
92.6 1
 
4.2%
93.9 1
 
4.2%
83.8 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
83.8 1
4.2%
89.1 1
4.2%
89.9 2
8.3%
91.7 1
4.2%
91.9 1
4.2%
92.6 1
4.2%
92.9 1
4.2%
93.3 1
4.2%
93.5 1
4.2%
93.8 2
8.3%
ValueCountFrequency (%)
97.9 1
4.2%
96.9 1
4.2%
96.3 2
8.3%
95.6 2
8.3%
95.5 1
4.2%
95.3 1
4.2%
94.5 1
4.2%
93.9 1
4.2%
93.8 2
8.3%
93.5 1
4.2%

2020년 12월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean94.95
Minimum90.1
Maximum98.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:03.707278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.1
5-th percentile91.615
Q193.825
median95.25
Q396.325
95-th percentile97.5
Maximum98.3
Range8.2
Interquartile range (IQR)2.5

Descriptive statistics

Standard deviation2.1400378
Coefficient of variation (CV)0.022538576
Kurtosis-0.18654231
Mean94.95
Median Absolute Deviation (MAD)1.35
Skewness-0.52061009
Sum2088.9
Variance4.5797619
MonotonicityNot monotonic
2024-04-06T17:20:04.017718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
95.3 2
 
8.3%
94.2 2
 
8.3%
96.1 2
 
8.3%
97.5 2
 
8.3%
94.9 1
 
4.2%
91.6 1
 
4.2%
97.2 1
 
4.2%
95.7 1
 
4.2%
95.2 1
 
4.2%
92.5 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
90.1 1
4.2%
91.6 1
4.2%
91.9 1
4.2%
92.5 1
4.2%
93.5 1
4.2%
93.7 1
4.2%
94.2 2
8.3%
94.3 1
4.2%
94.9 1
4.2%
95.2 1
4.2%
ValueCountFrequency (%)
98.3 1
4.2%
97.5 2
8.3%
97.4 1
4.2%
97.2 1
4.2%
96.4 1
4.2%
96.1 2
8.3%
95.7 1
4.2%
95.3 2
8.3%
95.2 1
4.2%
94.9 1
4.2%

2021년 1월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean96.172727
Minimum92.8
Maximum98.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:04.244251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.8
5-th percentile93.805
Q195.375
median96.2
Q396.975
95-th percentile98.295
Maximum98.6
Range5.8
Interquartile range (IQR)1.6

Descriptive statistics

Standard deviation1.5303849
Coefficient of variation (CV)0.015912878
Kurtosis-0.19802343
Mean96.172727
Median Absolute Deviation (MAD)0.85
Skewness-0.38311442
Sum2115.8
Variance2.3420779
MonotonicityNot monotonic
2024-04-06T17:20:04.476171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
96.1 2
 
8.3%
93.9 1
 
4.2%
98.3 1
 
4.2%
96.9 1
 
4.2%
98.6 1
 
4.2%
97.8 1
 
4.2%
95.6 1
 
4.2%
96.8 1
 
4.2%
97.0 1
 
4.2%
94.7 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
92.8 1
4.2%
93.8 1
4.2%
93.9 1
4.2%
94.7 1
4.2%
95.0 1
4.2%
95.3 1
4.2%
95.6 1
4.2%
95.7 1
4.2%
95.9 1
4.2%
96.1 2
8.3%
ValueCountFrequency (%)
98.6 1
4.2%
98.3 1
4.2%
98.2 1
4.2%
97.9 1
4.2%
97.8 1
4.2%
97.0 1
4.2%
96.9 1
4.2%
96.8 1
4.2%
96.6 1
4.2%
96.5 1
4.2%

2021년 2월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean97.186364
Minimum94
Maximum99.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:04.709547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94
5-th percentile94.545
Q196.55
median97.35
Q398.1
95-th percentile98.8
Maximum99.6
Range5.6
Interquartile range (IQR)1.55

Descriptive statistics

Standard deviation1.3802331
Coefficient of variation (CV)0.014201921
Kurtosis0.41964889
Mean97.186364
Median Absolute Deviation (MAD)0.85
Skewness-0.61433759
Sum2138.1
Variance1.9050433
MonotonicityNot monotonic
2024-04-06T17:20:04.902220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
97.4 2
 
8.3%
96.2 2
 
8.3%
98.8 2
 
8.3%
97.1 2
 
8.3%
99.6 1
 
4.2%
94.5 1
 
4.2%
97.7 1
 
4.2%
98.2 1
 
4.2%
96.7 1
 
4.2%
97.8 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
94.0 1
4.2%
94.5 1
4.2%
95.4 1
4.2%
96.2 2
8.3%
96.5 1
4.2%
96.7 1
4.2%
96.8 1
4.2%
97.1 2
8.3%
97.3 1
4.2%
97.4 2
8.3%
ValueCountFrequency (%)
99.6 1
4.2%
98.8 2
8.3%
98.6 1
4.2%
98.5 1
4.2%
98.2 1
4.2%
97.8 1
4.2%
97.7 1
4.2%
97.5 1
4.2%
97.4 2
8.3%
97.3 1
4.2%

2021년 3월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean97.845455
Minimum95
Maximum100.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:05.147509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95
5-th percentile95.365
Q197.425
median97.9
Q398.475
95-th percentile99.285
Maximum100.4
Range5.4
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.2137024
Coefficient of variation (CV)0.01240428
Kurtosis1.2648261
Mean97.845455
Median Absolute Deviation (MAD)0.55
Skewness-0.54137899
Sum2152.6
Variance1.4730736
MonotonicityNot monotonic
2024-04-06T17:20:05.895881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
97.9 2
 
8.3%
98.9 2
 
8.3%
97.8 2
 
8.3%
98.1 1
 
4.2%
97.1 1
 
4.2%
95.3 1
 
4.2%
97.5 1
 
4.2%
97.6 1
 
4.2%
96.6 1
 
4.2%
98.0 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
95.0 1
4.2%
95.3 1
4.2%
96.6 1
4.2%
97.0 1
4.2%
97.1 1
4.2%
97.4 1
4.2%
97.5 1
4.2%
97.6 1
4.2%
97.8 2
8.3%
97.9 2
8.3%
ValueCountFrequency (%)
100.4 1
4.2%
99.3 1
4.2%
99.0 1
4.2%
98.9 2
8.3%
98.5 1
4.2%
98.4 1
4.2%
98.2 1
4.2%
98.1 1
4.2%
98.0 1
4.2%
97.9 2
8.3%

2021년 4월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean98.422727
Minimum95.7
Maximum100.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:06.122673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.7
5-th percentile96.56
Q198.05
median98.5
Q398.975
95-th percentile99.49
Maximum100.6
Range4.9
Interquartile range (IQR)0.925

Descriptive statistics

Standard deviation0.99996753
Coefficient of variation (CV)0.010159925
Kurtosis2.4994915
Mean98.422727
Median Absolute Deviation (MAD)0.5
Skewness-0.77442218
Sum2165.3
Variance0.99993506
MonotonicityNot monotonic
2024-04-06T17:20:06.485384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
98.5 2
 
8.3%
98.3 2
 
8.3%
98.6 2
 
8.3%
97.9 1
 
4.2%
99.0 1
 
4.2%
95.7 1
 
4.2%
99.5 1
 
4.2%
98.7 1
 
4.2%
99.3 1
 
4.2%
98.9 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
95.7 1
4.2%
96.5 1
4.2%
97.7 1
4.2%
97.8 1
4.2%
97.9 1
4.2%
98.0 1
4.2%
98.2 1
4.2%
98.3 2
8.3%
98.4 1
4.2%
98.5 2
8.3%
ValueCountFrequency (%)
100.6 1
4.2%
99.5 1
4.2%
99.3 1
4.2%
99.2 1
4.2%
99.1 1
4.2%
99.0 1
4.2%
98.9 1
4.2%
98.7 1
4.2%
98.6 2
8.3%
98.5 2
8.3%

2021년 5월
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)63.6%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean99
Minimum96.9
Maximum100.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:06.797699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.9
5-th percentile97.835
Q198.8
median99.05
Q399.3
95-th percentile99.695
Maximum100.4
Range3.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.68937515
Coefficient of variation (CV)0.0069633853
Kurtosis3.7989762
Mean99
Median Absolute Deviation (MAD)0.25
Skewness-1.2154424
Sum2178
Variance0.4752381
MonotonicityNot monotonic
2024-04-06T17:20:07.048061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
99.0 3
12.5%
98.8 3
12.5%
99.3 3
12.5%
99.2 2
8.3%
98.7 2
8.3%
99.1 1
 
4.2%
97.8 1
 
4.2%
99.5 1
 
4.2%
98.5 1
 
4.2%
100.4 1
 
4.2%
Other values (4) 4
16.7%
(Missing) 2
8.3%
ValueCountFrequency (%)
96.9 1
 
4.2%
97.8 1
 
4.2%
98.5 1
 
4.2%
98.7 2
8.3%
98.8 3
12.5%
99.0 3
12.5%
99.1 1
 
4.2%
99.2 2
8.3%
99.3 3
12.5%
99.4 1
 
4.2%
ValueCountFrequency (%)
100.4 1
 
4.2%
99.7 1
 
4.2%
99.6 1
 
4.2%
99.5 1
 
4.2%
99.4 1
 
4.2%
99.3 3
12.5%
99.2 2
8.3%
99.1 1
 
4.2%
99.0 3
12.5%
98.8 3
12.5%

2021년 6월
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
100
22 
<NA>
 
2

Length

Max length4
Median length3
Mean length3.0833333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row100
2nd row100
3rd row100
4th row100
5th row100

Common Values

ValueCountFrequency (%)
100 22
91.7%
<NA> 2
 
8.3%

Length

2024-04-06T17:20:07.307004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:20:07.508013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
100 22
91.7%
na 2
 
8.3%

2021년 7월
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)50.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean100.77273
Minimum99.7
Maximum101.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:07.703723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.7
5-th percentile100.4
Q1100.5
median100.75
Q3101
95-th percentile101.49
Maximum101.5
Range1.8
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.41309727
Coefficient of variation (CV)0.0040992963
Kurtosis1.0225377
Mean100.77273
Median Absolute Deviation (MAD)0.25
Skewness-0.32571261
Sum2217
Variance0.17064935
MonotonicityNot monotonic
2024-04-06T17:20:07.957240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
101.0 3
12.5%
100.4 3
12.5%
100.5 3
12.5%
101.1 2
8.3%
100.6 2
8.3%
100.8 2
8.3%
100.7 2
8.3%
101.5 2
8.3%
100.9 1
 
4.2%
101.3 1
 
4.2%
(Missing) 2
8.3%
ValueCountFrequency (%)
99.7 1
 
4.2%
100.4 3
12.5%
100.5 3
12.5%
100.6 2
8.3%
100.7 2
8.3%
100.8 2
8.3%
100.9 1
 
4.2%
101.0 3
12.5%
101.1 2
8.3%
101.3 1
 
4.2%
ValueCountFrequency (%)
101.5 2
8.3%
101.3 1
 
4.2%
101.1 2
8.3%
101.0 3
12.5%
100.9 1
 
4.2%
100.8 2
8.3%
100.7 2
8.3%
100.6 2
8.3%
100.5 3
12.5%
100.4 3
12.5%

2021년 8월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean101.57273
Minimum99.5
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:08.234830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.5
5-th percentile100.61
Q1101.125
median101.5
Q3102.075
95-th percentile102.89
Maximum103
Range3.5
Interquartile range (IQR)0.95

Descriptive statistics

Standard deviation0.81485133
Coefficient of variation (CV)0.0080223437
Kurtosis0.77083873
Mean101.57273
Median Absolute Deviation (MAD)0.5
Skewness-0.3286556
Sum2234.6
Variance0.66398268
MonotonicityNot monotonic
2024-04-06T17:20:08.483131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
101.6 2
 
8.3%
102.0 2
 
8.3%
101.4 2
 
8.3%
101.2 2
 
8.3%
102.2 1
 
4.2%
103.0 1
 
4.2%
101.1 1
 
4.2%
100.8 1
 
4.2%
101.0 1
 
4.2%
99.5 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
99.5 1
4.2%
100.6 1
4.2%
100.8 1
4.2%
100.9 1
4.2%
101.0 1
4.2%
101.1 1
4.2%
101.2 2
8.3%
101.3 1
4.2%
101.4 2
8.3%
101.6 2
8.3%
ValueCountFrequency (%)
103.0 1
4.2%
102.9 1
4.2%
102.7 1
4.2%
102.3 1
4.2%
102.2 1
4.2%
102.1 1
4.2%
102.0 2
8.3%
101.8 1
4.2%
101.6 2
8.3%
101.4 2
8.3%

2021년 9월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean102.27727
Minimum99.6
Maximum104.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:08.734885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.6
5-th percentile100.82
Q1101.625
median102.2
Q3103.075
95-th percentile104.09
Maximum104.1
Range4.5
Interquartile range (IQR)1.45

Descriptive statistics

Standard deviation1.1135237
Coefficient of variation (CV)0.010887304
Kurtosis0.24634738
Mean102.27727
Median Absolute Deviation (MAD)0.75
Skewness-0.24353875
Sum2250.1
Variance1.2399351
MonotonicityNot monotonic
2024-04-06T17:20:08.986697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
102.3 2
 
8.3%
104.1 2
 
8.3%
101.7 2
 
8.3%
103.1 2
 
8.3%
103.0 1
 
4.2%
101.6 1
 
4.2%
101.2 1
 
4.2%
102.0 1
 
4.2%
101.5 1
 
4.2%
99.6 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
99.6 1
4.2%
100.8 1
4.2%
101.2 1
4.2%
101.4 1
4.2%
101.5 1
4.2%
101.6 1
4.2%
101.7 2
8.3%
101.8 1
4.2%
102.0 1
4.2%
102.1 1
4.2%
ValueCountFrequency (%)
104.1 2
8.3%
103.9 1
4.2%
103.3 1
4.2%
103.1 2
8.3%
103.0 1
4.2%
102.9 1
4.2%
102.6 1
4.2%
102.3 2
8.3%
102.1 1
4.2%
102.0 1
4.2%

2021년 10월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.12727
Minimum100
Maximum105.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:09.233325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum100
5-th percentile100.935
Q1102.35
median102.95
Q3104.3
95-th percentile105.29
Maximum105.3
Range5.3
Interquartile range (IQR)1.95

Descriptive statistics

Standard deviation1.414948
Coefficient of variation (CV)0.013720406
Kurtosis-0.30150608
Mean103.12727
Median Absolute Deviation (MAD)1
Skewness-0.2404593
Sum2268.8
Variance2.0020779
MonotonicityNot monotonic
2024-04-06T17:20:09.535913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
102.6 2
 
8.3%
105.3 2
 
8.3%
104.4 2
 
8.3%
100.0 1
 
4.2%
102.3 1
 
4.2%
101.6 1
 
4.2%
102.8 1
 
4.2%
103.3 1
 
4.2%
104.6 1
 
4.2%
101.9 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
100.0 1
4.2%
100.9 1
4.2%
101.6 1
4.2%
101.9 1
4.2%
102.0 1
4.2%
102.3 1
4.2%
102.5 1
4.2%
102.6 2
8.3%
102.7 1
4.2%
102.8 1
4.2%
ValueCountFrequency (%)
105.3 2
8.3%
105.1 1
4.2%
104.6 1
4.2%
104.4 2
8.3%
104.0 1
4.2%
103.9 1
4.2%
103.5 1
4.2%
103.3 1
4.2%
103.1 1
4.2%
102.8 1
4.2%

2021년 11월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.73182
Minimum99.9
Maximum106.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:09.810407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum99.9
5-th percentile101.04
Q1103.025
median103.55
Q3104.925
95-th percentile105.895
Maximum106.1
Range6.2
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.6307715
Coefficient of variation (CV)0.015721034
Kurtosis0.014851881
Mean103.73182
Median Absolute Deviation (MAD)1.1
Skewness-0.49013176
Sum2282.1
Variance2.6594156
MonotonicityNot monotonic
2024-04-06T17:20:10.084185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
103.2 3
 
12.5%
105.4 1
 
4.2%
105.9 1
 
4.2%
103.5 1
 
4.2%
103.1 1
 
4.2%
101.8 1
 
4.2%
104.3 1
 
4.2%
105.7 1
 
4.2%
102.3 1
 
4.2%
99.9 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
99.9 1
 
4.2%
101.0 1
 
4.2%
101.8 1
 
4.2%
102.3 1
 
4.2%
102.7 1
 
4.2%
103.0 1
 
4.2%
103.1 1
 
4.2%
103.2 3
12.5%
103.5 1
 
4.2%
103.6 1
 
4.2%
ValueCountFrequency (%)
106.1 1
4.2%
105.9 1
4.2%
105.8 1
4.2%
105.7 1
4.2%
105.4 1
4.2%
105.0 1
4.2%
104.7 1
4.2%
104.6 1
4.2%
104.3 1
4.2%
104.1 1
4.2%

2021년 12월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean104.03636
Minimum98.3
Maximum106.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:10.361781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98.3
5-th percentile100.95
Q1103.35
median103.95
Q3105.25
95-th percentile106.595
Maximum106.6
Range8.3
Interquartile range (IQR)1.9

Descriptive statistics

Standard deviation1.9826739
Coefficient of variation (CV)0.019057508
Kurtosis2.1211645
Mean104.03636
Median Absolute Deviation (MAD)1.05
Skewness-1.1017009
Sum2288.8
Variance3.9309957
MonotonicityNot monotonic
2024-04-06T17:20:10.588573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
103.5 2
 
8.3%
106.6 2
 
8.3%
104.7 1
 
4.2%
104.0 1
 
4.2%
103.8 1
 
4.2%
101.9 1
 
4.2%
104.9 1
 
4.2%
102.7 1
 
4.2%
98.3 1
 
4.2%
106.0 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
98.3 1
4.2%
100.9 1
4.2%
101.9 1
4.2%
102.7 1
4.2%
103.2 1
4.2%
103.3 1
4.2%
103.5 2
8.3%
103.6 1
4.2%
103.8 1
4.2%
103.9 1
4.2%
ValueCountFrequency (%)
106.6 2
8.3%
106.5 1
4.2%
106.1 1
4.2%
106.0 1
4.2%
105.3 1
4.2%
105.1 1
4.2%
104.9 1
4.2%
104.7 1
4.2%
104.4 1
4.2%
104.0 1
4.2%

2022년 1월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean104.10909
Minimum96.9
Maximum107.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:10.829188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum96.9
5-th percentile100.67
Q1103.525
median104.25
Q3105.275
95-th percentile106.97
Maximum107.1
Range10.2
Interquartile range (IQR)1.75

Descriptive statistics

Standard deviation2.2517526
Coefficient of variation (CV)0.021628779
Kurtosis4.1470656
Mean104.10909
Median Absolute Deviation (MAD)0.95
Skewness-1.5831097
Sum2290.4
Variance5.0703896
MonotonicityNot monotonic
2024-04-06T17:20:11.067315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
103.8 2
 
8.3%
105.2 2
 
8.3%
103.5 2
 
8.3%
104.4 2
 
8.3%
96.9 1
 
4.2%
107.0 1
 
4.2%
104.1 1
 
4.2%
102.0 1
 
4.2%
107.1 1
 
4.2%
102.9 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
96.9 1
4.2%
100.6 1
4.2%
102.0 1
4.2%
102.9 1
4.2%
103.5 2
8.3%
103.6 1
4.2%
103.8 2
8.3%
103.9 1
4.2%
104.1 1
4.2%
104.4 2
8.3%
ValueCountFrequency (%)
107.1 1
4.2%
107.0 1
4.2%
106.4 1
4.2%
106.3 1
4.2%
106.0 1
4.2%
105.3 1
4.2%
105.2 2
8.3%
104.5 1
4.2%
104.4 2
8.3%
104.1 1
4.2%

2022년 2월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean104.07273
Minimum95.8
Maximum107.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:11.300142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum95.8
5-th percentile100.29
Q1103.575
median104.2
Q3105.35
95-th percentile107.165
Maximum107.4
Range11.6
Interquartile range (IQR)1.775

Descriptive statistics

Standard deviation2.4700457
Coefficient of variation (CV)0.023733842
Kurtosis5.3971908
Mean104.07273
Median Absolute Deviation (MAD)0.95
Skewness-1.8578402
Sum2289.6
Variance6.1011255
MonotonicityNot monotonic
2024-04-06T17:20:11.533308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
103.8 3
 
12.5%
95.8 1
 
4.2%
107.2 1
 
4.2%
104.7 1
 
4.2%
104.3 1
 
4.2%
102.0 1
 
4.2%
104.0 1
 
4.2%
105.4 1
 
4.2%
107.4 1
 
4.2%
103.1 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
95.8 1
 
4.2%
100.2 1
 
4.2%
102.0 1
 
4.2%
103.1 1
 
4.2%
103.4 1
 
4.2%
103.5 1
 
4.2%
103.8 3
12.5%
104.0 1
 
4.2%
104.1 1
 
4.2%
104.3 1
 
4.2%
ValueCountFrequency (%)
107.4 1
4.2%
107.2 1
4.2%
106.5 1
4.2%
106.0 1
4.2%
105.9 1
4.2%
105.4 1
4.2%
105.2 1
4.2%
105.1 1
4.2%
104.7 1
4.2%
104.4 1
4.2%

2022년 3월
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)81.8%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.99091
Minimum94.2
Maximum107.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:11.772381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum94.2
5-th percentile99.72
Q1103.525
median104.4
Q3105.45
95-th percentile107.26
Maximum107.7
Range13.5
Interquartile range (IQR)1.925

Descriptive statistics

Standard deviation2.7931735
Coefficient of variation (CV)0.026859785
Kurtosis6.8864056
Mean103.99091
Median Absolute Deviation (MAD)1
Skewness-2.1910841
Sum2287.8
Variance7.8018182
MonotonicityNot monotonic
2024-04-06T17:20:12.029918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
104.4 2
 
8.3%
103.3 2
 
8.3%
103.6 2
 
8.3%
105.5 2
 
8.3%
105.3 1
 
4.2%
105.8 1
 
4.2%
103.5 1
 
4.2%
103.8 1
 
4.2%
104.9 1
 
4.2%
104.0 1
 
4.2%
Other values (8) 8
33.3%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
94.2 1
4.2%
99.6 1
4.2%
102.0 1
4.2%
103.3 2
8.3%
103.5 1
4.2%
103.6 2
8.3%
103.8 1
4.2%
104.0 1
4.2%
104.4 2
8.3%
104.5 1
4.2%
ValueCountFrequency (%)
107.7 1
4.2%
107.3 1
4.2%
106.5 1
4.2%
105.8 1
4.2%
105.5 2
8.3%
105.3 1
4.2%
105.1 1
4.2%
104.9 1
4.2%
104.5 1
4.2%
104.4 2
8.3%

2022년 4월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.95
Minimum93.2
Maximum108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:12.335616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum93.2
5-th percentile98.86
Q1103.425
median104.5
Q3105.4
95-th percentile107.365
Maximum108
Range14.8
Interquartile range (IQR)1.975

Descriptive statistics

Standard deviation3.0731944
Coefficient of variation (CV)0.02956416
Kurtosis6.91781
Mean103.95
Median Absolute Deviation (MAD)1
Skewness-2.2538376
Sum2286.9
Variance9.4445238
MonotonicityNot monotonic
2024-04-06T17:20:12.594359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
103.4 2
 
8.3%
105.4 2
 
8.3%
104.8 2
 
8.3%
93.2 1
 
4.2%
107.4 1
 
4.2%
105.5 1
 
4.2%
104.7 1
 
4.2%
101.9 1
 
4.2%
108.0 1
 
4.2%
103.5 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
93.2 1
4.2%
98.7 1
4.2%
101.9 1
4.2%
103.2 1
4.2%
103.4 2
8.3%
103.5 1
4.2%
103.6 1
4.2%
103.9 1
4.2%
104.1 1
4.2%
104.3 1
4.2%
ValueCountFrequency (%)
108.0 1
4.2%
107.4 1
4.2%
106.7 1
4.2%
105.7 1
4.2%
105.5 1
4.2%
105.4 2
8.3%
105.3 1
4.2%
104.8 2
8.3%
104.7 1
4.2%
104.3 1
4.2%

2022년 5월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.85909
Minimum92.1
Maximum108.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:12.913022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum92.1
5-th percentile98
Q1103.3
median104.55
Q3105.375
95-th percentile107.365
Maximum108.2
Range16.1
Interquartile range (IQR)2.075

Descriptive statistics

Standard deviation3.3617823
Coefficient of variation (CV)0.032368686
Kurtosis6.9970843
Mean103.85909
Median Absolute Deviation (MAD)1
Skewness-2.3208516
Sum2284.9
Variance11.30158
MonotonicityNot monotonic
2024-04-06T17:20:13.205138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
104.9 2
 
8.3%
106.7 1
 
4.2%
107.4 1
 
4.2%
105.9 1
 
4.2%
101.8 1
 
4.2%
105.2 1
 
4.2%
105.3 1
 
4.2%
108.2 1
 
4.2%
103.7 1
 
4.2%
92.1 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
92.1 1
4.2%
97.8 1
4.2%
101.8 1
4.2%
103.0 1
4.2%
103.1 1
4.2%
103.2 1
4.2%
103.6 1
4.2%
103.7 1
4.2%
103.8 1
4.2%
104.2 1
4.2%
ValueCountFrequency (%)
108.2 1
4.2%
107.4 1
4.2%
106.7 1
4.2%
105.9 1
4.2%
105.6 1
4.2%
105.4 1
4.2%
105.3 1
4.2%
105.2 1
4.2%
104.9 2
8.3%
104.8 1
4.2%

2022년 6월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.78182
Minimum91.1
Maximum108.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:13.454754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum91.1
5-th percentile97.045
Q1103.225
median104.4
Q3105.575
95-th percentile107.56
Maximum108.5
Range17.4
Interquartile range (IQR)2.35

Descriptive statistics

Standard deviation3.675872
Coefficient of variation (CV)0.035419229
Kurtosis6.6363282
Mean103.78182
Median Absolute Deviation (MAD)1.2
Skewness-2.2821806
Sum2283.2
Variance13.512035
MonotonicityNot monotonic
2024-04-06T17:20:13.698767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
103.8 2
 
8.3%
105.6 2
 
8.3%
104.4 2
 
8.3%
91.1 1
 
4.2%
107.6 1
 
4.2%
106.3 1
 
4.2%
105.1 1
 
4.2%
101.7 1
 
4.2%
105.2 1
 
4.2%
108.5 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
91.1 1
4.2%
96.8 1
4.2%
101.7 1
4.2%
102.7 1
4.2%
102.8 1
4.2%
103.1 1
4.2%
103.6 1
4.2%
103.8 2
8.3%
104.2 1
4.2%
104.4 2
8.3%
ValueCountFrequency (%)
108.5 1
4.2%
107.6 1
4.2%
106.8 1
4.2%
106.3 1
4.2%
105.6 2
8.3%
105.5 1
4.2%
105.2 1
4.2%
105.1 1
4.2%
104.6 1
4.2%
104.4 2
8.3%

2022년 7월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.6
Minimum90.1
Maximum108.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:13.958306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum90.1
5-th percentile96.275
Q1103.125
median104.2
Q3105.375
95-th percentile107.56
Maximum108.5
Range18.4
Interquartile range (IQR)2.25

Descriptive statistics

Standard deviation3.9336158
Coefficient of variation (CV)0.037969265
Kurtosis6.4884853
Mean103.6
Median Absolute Deviation (MAD)1.2
Skewness-2.273849
Sum2279.2
Variance15.473333
MonotonicityNot monotonic
2024-04-06T17:20:14.210953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
105.3 2
 
8.3%
103.8 2
 
8.3%
104.4 2
 
8.3%
90.1 1
 
4.2%
107.6 1
 
4.2%
106.5 1
 
4.2%
101.5 1
 
4.2%
105.9 1
 
4.2%
105.1 1
 
4.2%
108.5 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
90.1 1
4.2%
96.0 1
4.2%
101.5 1
4.2%
102.2 1
4.2%
102.4 1
4.2%
103.0 1
4.2%
103.5 1
4.2%
103.7 1
4.2%
103.8 2
8.3%
104.0 1
4.2%
ValueCountFrequency (%)
108.5 1
4.2%
107.6 1
4.2%
106.8 1
4.2%
106.5 1
4.2%
105.9 1
4.2%
105.4 1
4.2%
105.3 2
8.3%
105.1 1
4.2%
104.4 2
8.3%
104.0 1
4.2%

2022년 8월
Real number (ℝ)

MISSING 

Distinct20
Distinct (%)90.9%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean103.19091
Minimum88.9
Maximum108.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:14.485804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum88.9
5-th percentile95.405
Q1102.7
median103.8
Q3105.25
95-th percentile107.545
Maximum108.4
Range19.5
Interquartile range (IQR)2.55

Descriptive statistics

Standard deviation4.1988558
Coefficient of variation (CV)0.040690171
Kurtosis6.2027887
Mean103.19091
Median Absolute Deviation (MAD)1.4
Skewness-2.2102665
Sum2270.2
Variance17.63039
MonotonicityNot monotonic
2024-04-06T17:20:14.788365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
102.7 2
 
8.3%
103.8 2
 
8.3%
88.9 1
 
4.2%
107.6 1
 
4.2%
106.5 1
 
4.2%
105.3 1
 
4.2%
101.2 1
 
4.2%
106.1 1
 
4.2%
104.8 1
 
4.2%
108.4 1
 
4.2%
Other values (10) 10
41.7%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
88.9 1
4.2%
95.1 1
4.2%
101.2 1
4.2%
101.3 1
4.2%
101.7 1
4.2%
102.7 2
8.3%
103.1 1
4.2%
103.4 1
4.2%
103.6 1
4.2%
103.8 2
8.3%
ValueCountFrequency (%)
108.4 1
4.2%
107.6 1
4.2%
106.5 1
4.2%
106.3 1
4.2%
106.1 1
4.2%
105.3 1
4.2%
105.1 1
4.2%
104.8 1
4.2%
104.6 1
4.2%
104.2 1
4.2%

2022년 9월
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)86.4%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean102.48636
Minimum87.3
Maximum108.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:15.059111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum87.3
5-th percentile94.21
Q1101.5
median103.1
Q3104.975
95-th percentile107.44
Maximum108.1
Range20.8
Interquartile range (IQR)3.475

Descriptive statistics

Standard deviation4.512659
Coefficient of variation (CV)0.044031799
Kurtosis5.820501
Mean102.48636
Median Absolute Deviation (MAD)1.95
Skewness-2.1053354
Sum2254.7
Variance20.364091
MonotonicityNot monotonic
2024-04-06T17:20:15.293528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
102.8 2
 
8.3%
104.3 2
 
8.3%
103.4 2
 
8.3%
102.1 1
 
4.2%
100.7 1
 
4.2%
101.3 1
 
4.2%
102.4 1
 
4.2%
93.9 1
 
4.2%
100.1 1
 
4.2%
102.7 1
 
4.2%
Other values (9) 9
37.5%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
87.3 1
4.2%
93.9 1
4.2%
100.1 1
4.2%
100.7 1
4.2%
100.9 1
4.2%
101.3 1
4.2%
102.1 1
4.2%
102.4 1
4.2%
102.7 1
4.2%
102.8 2
8.3%
ValueCountFrequency (%)
108.1 1
4.2%
107.5 1
4.2%
106.3 1
4.2%
106.0 1
4.2%
105.6 1
4.2%
105.2 1
4.2%
104.3 2
8.3%
103.6 1
4.2%
103.4 2
8.3%
102.8 2
8.3%

2022년 10월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean101.34091
Minimum85.6
Maximum107.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:15.575924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum85.6
5-th percentile92.61
Q1100.45
median101.65
Q3104.125
95-th percentile107.225
Maximum107.4
Range21.8
Interquartile range (IQR)3.675

Descriptive statistics

Standard deviation4.8421423
Coefficient of variation (CV)0.047780727
Kurtosis4.8030539
Mean101.34091
Median Absolute Deviation (MAD)2.2
Skewness-1.839035
Sum2229.5
Variance23.446342
MonotonicityNot monotonic
2024-04-06T17:20:15.855143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
99.2 2
 
8.3%
85.6 1
 
4.2%
107.4 1
 
4.2%
105.7 1
 
4.2%
104.9 1
 
4.2%
100.4 1
 
4.2%
105.8 1
 
4.2%
103.6 1
 
4.2%
107.3 1
 
4.2%
102.9 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
85.6 1
4.2%
92.3 1
4.2%
98.5 1
4.2%
99.2 2
8.3%
100.4 1
4.2%
100.6 1
4.2%
100.8 1
4.2%
101.2 1
4.2%
101.3 1
4.2%
101.4 1
4.2%
ValueCountFrequency (%)
107.4 1
4.2%
107.3 1
4.2%
105.8 1
4.2%
105.7 1
4.2%
104.9 1
4.2%
104.3 1
4.2%
103.6 1
4.2%
103.0 1
4.2%
102.9 1
4.2%
102.2 1
4.2%

2022년 11월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean99.404545
Minimum83.1
Maximum107.1
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:16.204053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum83.1
5-th percentile90.185
Q197.625
median100
Q3102.4
95-th percentile106.22
Maximum107.1
Range24
Interquartile range (IQR)4.775

Descriptive statistics

Standard deviation5.3484735
Coefficient of variation (CV)0.05380512
Kurtosis3.2551992
Mean99.404545
Median Absolute Deviation (MAD)2.45
Skewness-1.4018624
Sum2186.9
Variance28.606169
MonotonicityNot monotonic
2024-04-06T17:20:16.414809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
100.3 2
 
8.3%
83.1 1
 
4.2%
107.1 1
 
4.2%
104.3 1
 
4.2%
104.0 1
 
4.2%
99.7 1
 
4.2%
104.7 1
 
4.2%
102.5 1
 
4.2%
106.3 1
 
4.2%
102.1 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
83.1 1
4.2%
89.9 1
4.2%
95.6 1
4.2%
96.5 1
4.2%
96.7 1
4.2%
97.6 1
4.2%
97.7 1
4.2%
97.9 1
4.2%
99.0 1
4.2%
99.1 1
4.2%
ValueCountFrequency (%)
107.1 1
4.2%
106.3 1
4.2%
104.7 1
4.2%
104.3 1
4.2%
104.0 1
4.2%
102.5 1
4.2%
102.1 1
4.2%
101.7 1
4.2%
100.8 1
4.2%
100.3 2
8.3%

2022년 12월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean96.481818
Minimum78.4
Maximum106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:16.640832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum78.4
5-th percentile86.03
Q193.125
median97.7
Q3101.275
95-th percentile104.155
Maximum106
Range27.6
Interquartile range (IQR)8.15

Descriptive statistics

Standard deviation6.3809714
Coefficient of variation (CV)0.066136517
Kurtosis1.8310307
Mean96.481818
Median Absolute Deviation (MAD)4.35
Skewness-1.07312
Sum2122.6
Variance40.716797
MonotonicityNot monotonic
2024-04-06T17:20:16.853509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
98.7 1
 
4.2%
106.0 1
 
4.2%
101.9 1
 
4.2%
102.3 1
 
4.2%
98.6 1
 
4.2%
103.3 1
 
4.2%
100.9 1
 
4.2%
104.2 1
 
4.2%
101.4 1
 
4.2%
78.4 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
78.4 1
4.2%
85.8 1
4.2%
90.4 1
4.2%
92.7 1
4.2%
93.0 1
4.2%
93.1 1
4.2%
93.2 1
4.2%
93.6 1
4.2%
95.3 1
4.2%
96.3 1
4.2%
ValueCountFrequency (%)
106.0 1
4.2%
104.2 1
4.2%
103.3 1
4.2%
102.3 1
4.2%
101.9 1
4.2%
101.4 1
4.2%
100.9 1
4.2%
98.7 1
4.2%
98.6 1
4.2%
98.1 1
4.2%

2023년 1월
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean94
Minimum74.7
Maximum104.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:17.157679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum74.7
5-th percentile83.08
Q189.175
median95.15
Q399.725
95-th percentile102.86
Maximum104.9
Range30.2
Interquartile range (IQR)10.55

Descriptive statistics

Standard deviation7.2859944
Coefficient of variation (CV)0.077510579
Kurtosis0.82795213
Mean94
Median Absolute Deviation (MAD)5.25
Skewness-0.79994836
Sum2068
Variance53.085714
MonotonicityNot monotonic
2024-04-06T17:20:17.593046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
96.2 1
 
4.2%
104.9 1
 
4.2%
99.8 1
 
4.2%
101.1 1
 
4.2%
97.1 1
 
4.2%
102.1 1
 
4.2%
99.5 1
 
4.2%
102.9 1
 
4.2%
100.8 1
 
4.2%
74.7 1
 
4.2%
Other values (12) 12
50.0%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
74.7 1
4.2%
82.9 1
4.2%
86.5 1
4.2%
88.4 1
4.2%
88.6 1
4.2%
88.8 1
4.2%
90.3 1
4.2%
91.0 1
4.2%
92.2 1
4.2%
93.3 1
4.2%
ValueCountFrequency (%)
104.9 1
4.2%
102.9 1
4.2%
102.1 1
4.2%
101.1 1
4.2%
100.8 1
4.2%
99.8 1
4.2%
99.5 1
4.2%
97.1 1
4.2%
96.6 1
4.2%
96.2 1
4.2%

2023년 2월
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)95.5%
Missing2
Missing (%)8.3%
Infinite0
Infinite (%)0.0%
Mean92.090909
Minimum72.2
Maximum104
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-06T17:20:17.957317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum72.2
5-th percentile80.675
Q186.35
median93.1
Q398.2
95-th percentile101.575
Maximum104
Range31.8
Interquartile range (IQR)11.85

Descriptive statistics

Standard deviation7.9278838
Coefficient of variation (CV)0.086087584
Kurtosis0.24565375
Mean92.090909
Median Absolute Deviation (MAD)6.1
Skewness-0.63255622
Sum2026
Variance62.851342
MonotonicityNot monotonic
2024-04-06T17:20:18.194168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
98.2 2
 
8.3%
85.3 1
 
4.2%
104.0 1
 
4.2%
100.2 1
 
4.2%
96.2 1
 
4.2%
101.1 1
 
4.2%
101.6 1
 
4.2%
100.3 1
 
4.2%
72.2 1
 
4.2%
94.0 1
 
4.2%
Other values (11) 11
45.8%
(Missing) 2
 
8.3%
ValueCountFrequency (%)
72.2 1
4.2%
80.5 1
4.2%
84.0 1
4.2%
85.2 1
4.2%
85.3 1
4.2%
85.8 1
4.2%
88.0 1
4.2%
88.9 1
4.2%
89.8 1
4.2%
90.7 1
4.2%
ValueCountFrequency (%)
104.0 1
4.2%
101.6 1
4.2%
101.1 1
4.2%
100.3 1
4.2%
100.2 1
4.2%
98.2 2
8.3%
96.2 1
4.2%
95.4 1
4.2%
94.2 1
4.2%
94.0 1
4.2%

Sample

분류항목2015년 9월2015년 10월2015년 11월2015년 12월2016년 1월2016년 2월2016년 3월2016년 4월2016년 5월2016년 6월2016년 7월2016년 8월2016년 9월2016년 10월2016년 11월2016년 12월2017년 1월2017년 2월2017년 3월2017년 4월2017년 5월2017년 6월2017년 7월2017년 8월2017년 9월2017년 10월2017년 11월2017년 12월2018년 1월2018년 2월2018년 3월2018년 4월2018년 5월2018년 6월2018년 7월2018년 8월2018년 9월2018년 10월2018년 11월2018년 12월2019년 1월2019년 2월2019년 3월2019년 4월2019년 5월2019년 6월2019년 7월2019년 8월2019년 9월2019년 10월2019년 11월2019년 12월2020년 1월2020년 2월2020년 3월2020년 4월2020년 5월2020년 6월2020년 7월2020년 8월2020년 9월2020년 10월2020년 11월2020년 12월2021년 1월2021년 2월2021년 3월2021년 4월2021년 5월2021년 6월2021년 7월2021년 8월2021년 9월2021년 10월2021년 11월2021년 12월2022년 1월2022년 2월2022년 3월2022년 4월2022년 5월2022년 6월2022년 7월2022년 8월2022년 9월2022년 10월2022년 11월2022년 12월2023년 1월2023년 2월
0전국전세가격지수89.489.990.590.891.091.191.291.491.691.791.891.992.092.292.492.592.592.692.792.792.892.992.993.093.093.193.193.092.992.892.692.391.991.591.290.990.890.790.690.490.189.889.489.088.888.588.388.188.188.388.588.889.289.589.789.990.090.490.991.592.292.993.895.396.397.397.998.599.0100100.9101.8102.6103.5104.1104.4104.5104.4104.4104.3104.3104.2104.0103.6102.8101.499.095.392.289.8
1수도권전세가격지수85.185.886.587.087.287.487.687.888.188.388.688.888.989.289.489.589.689.689.789.990.190.390.490.690.890.891.090.990.890.790.490.189.789.489.188.989.089.088.988.788.387.987.587.086.886.686.486.486.686.987.387.888.388.789.189.389.590.090.691.392.292.993.995.296.197.197.898.398.8100101.1102.3103.3104.4105.0105.3105.3105.1104.9104.8104.8104.6104.4103.8102.7100.897.692.788.485.3
2지방권전세가격지수93.794.094.494.694.794.894.894.995.095.095.095.095.095.295.395.495.495.595.595.595.495.495.395.395.295.295.295.195.094.894.794.494.093.693.392.992.692.492.292.091.891.691.391.090.790.390.089.889.689.589.689.790.090.290.490.490.590.891.291.792.392.993.895.396.597.498.098.699.2100100.6101.3101.8102.6103.2103.6103.8103.8103.8103.9103.8103.8103.7103.4102.8101.9100.397.995.894.2
36대광역시전세가격지수85.686.186.586.886.987.187.287.387.487.587.687.787.888.088.388.488.488.588.688.788.888.888.989.089.189.189.289.289.189.189.088.888.588.388.087.887.687.687.587.387.287.186.986.786.686.486.286.186.186.386.486.787.187.487.788.088.188.588.889.289.890.591.793.795.096.297.197.998.7100100.8101.6102.3103.1103.6103.9103.9103.8103.5103.4103.1102.8102.4101.7100.799.296.793.290.388.0
49개도전세가격지수93.594.094.494.794.895.095.195.395.495.695.695.795.896.096.196.296.296.296.396.496.496.496.496.496.496.496.396.295.995.695.395.094.594.093.693.292.992.792.592.191.791.491.190.590.189.889.489.289.189.289.489.689.990.290.590.690.791.291.792.393.193.794.595.796.697.598.198.699.1100101.0102.0102.9103.9104.7105.1105.2105.2105.3105.4105.4105.5105.4105.1104.3103.0100.897.594.592.2
5서울전세가격지수85.786.587.488.188.488.688.788.889.089.389.589.789.990.190.490.590.690.690.891.091.291.691.892.192.292.392.592.792.993.193.092.792.392.192.192.492.792.992.992.792.291.691.090.790.690.590.590.790.891.191.592.092.792.993.193.293.293.593.994.595.195.596.397.297.998.598.999.199.3100100.7101.4102.1102.7103.2103.5103.5103.4103.3103.2103.2103.1103.0102.7102.1100.697.793.088.885.8
6경기전세가격지수86.286.987.687.988.188.388.588.889.189.489.689.889.990.190.490.590.590.690.690.890.991.191.291.391.491.591.591.391.190.690.390.089.589.188.688.288.088.087.987.587.286.986.585.985.685.385.085.085.185.585.986.486.987.487.988.188.388.989.790.691.792.593.594.995.997.197.898.398.8100101.3102.7103.9105.1105.8106.1106.0105.9105.8105.7105.6105.6105.3104.6103.4101.397.993.188.685.2
7인천전세가격지수79.980.480.881.181.281.481.681.982.182.582.883.183.383.583.883.983.984.084.184.284.484.684.785.085.285.385.585.385.285.285.185.084.784.584.484.184.084.084.083.983.783.583.383.082.982.882.782.682.782.983.183.483.784.184.785.585.886.386.586.787.488.389.991.692.894.095.396.597.8100101.5102.9104.1105.3106.1106.5106.3106.0105.5105.3104.9104.4103.8102.7101.399.295.690.486.584.0
8부산전세가격지수88.188.689.189.689.990.390.490.790.991.291.491.892.192.693.293.593.793.994.094.194.394.594.594.594.594.594.494.494.294.193.993.793.493.092.792.392.192.091.991.791.591.391.190.890.690.389.989.789.489.389.289.589.689.789.789.789.689.789.890.090.490.991.994.295.796.897.598.098.8100100.6101.2101.7102.5103.0103.3103.5103.5103.6103.6103.6103.6103.5103.1102.4101.299.196.393.390.7
9대구전세가격지수88.889.489.989.989.889.789.489.289.088.788.488.187.987.987.987.887.787.687.687.687.587.587.587.587.787.787.887.987.987.987.987.987.987.887.887.887.887.988.088.188.088.088.188.288.288.288.288.388.488.889.289.489.990.290.390.390.490.590.690.891.391.792.694.295.396.597.698.499.2100100.4100.6100.8100.9101.0100.9100.6100.299.698.797.896.896.095.193.992.389.985.882.980.5
분류항목2015년 9월2015년 10월2015년 11월2015년 12월2016년 1월2016년 2월2016년 3월2016년 4월2016년 5월2016년 6월2016년 7월2016년 8월2016년 9월2016년 10월2016년 11월2016년 12월2017년 1월2017년 2월2017년 3월2017년 4월2017년 5월2017년 6월2017년 7월2017년 8월2017년 9월2017년 10월2017년 11월2017년 12월2018년 1월2018년 2월2018년 3월2018년 4월2018년 5월2018년 6월2018년 7월2018년 8월2018년 9월2018년 10월2018년 11월2018년 12월2019년 1월2019년 2월2019년 3월2019년 4월2019년 5월2019년 6월2019년 7월2019년 8월2019년 9월2019년 10월2019년 11월2019년 12월2020년 1월2020년 2월2020년 3월2020년 4월2020년 5월2020년 6월2020년 7월2020년 8월2020년 9월2020년 10월2020년 11월2020년 12월2021년 1월2021년 2월2021년 3월2021년 4월2021년 5월2021년 6월2021년 7월2021년 8월2021년 9월2021년 10월2021년 11월2021년 12월2022년 1월2022년 2월2022년 3월2022년 4월2022년 5월2022년 6월2022년 7월2022년 8월2022년 9월2022년 10월2022년 11월2022년 12월2023년 1월2023년 2월
14강원전세가격지수97.597.998.398.698.798.898.999.199.299.499.699.899.9100.2100.5100.7100.8101.0101.3101.6101.9102.1102.2102.5102.8103.2103.4103.3103.0103.0102.8102.6102.2101.7101.2100.7100.499.999.498.798.297.997.496.996.095.494.894.093.493.192.892.792.792.792.892.892.993.093.293.594.094.695.396.197.097.898.499.099.4100100.5101.0101.5101.9102.3102.7102.9103.1103.3103.5103.7103.8103.8103.8103.6102.9102.1101.4100.8100.3
15충북전세가격지수96.496.696.997.397.597.898.098.398.698.898.999.099.299.499.799.9100.0100.0100.2100.3100.6100.7100.8100.8101.1101.2101.4101.3101.4101.5101.4101.1100.6100.199.799.298.798.097.296.696.095.494.894.093.592.992.492.091.791.491.391.391.491.591.691.691.892.793.293.794.394.995.696.496.897.497.998.599.0100101.0102.0103.1104.6105.7106.6107.1107.4107.7108.0108.2108.5108.5108.4108.1107.3106.3104.2102.9101.6
16충남전세가격지수96.897.097.297.397.297.097.096.996.696.496.396.196.095.995.795.695.595.395.294.894.594.394.193.993.793.693.593.293.192.892.592.091.490.890.389.989.689.389.188.988.788.488.288.087.987.787.787.787.787.888.088.288.488.688.788.888.889.089.790.491.291.892.994.395.696.797.498.299.0100100.8101.6102.3103.3104.3104.9105.2105.4105.5105.4105.3105.2105.1104.8104.3103.6102.5100.999.598.2
17전북전세가격지수97.197.397.497.497.597.597.697.797.898.098.098.198.198.398.498.598.698.798.999.199.399.599.699.8100.0100.3100.5100.6100.6100.6100.5100.4100.299.999.699.499.499.499.399.399.199.098.798.398.197.897.497.196.796.596.396.296.196.096.096.096.096.096.196.296.496.696.997.597.898.298.598.999.3100100.7101.4102.0102.8103.2103.5103.8104.0104.4104.8105.2105.6105.9106.1106.0105.8104.7103.3102.1101.1
18전남전세가격지수90.890.991.091.191.191.291.391.591.691.691.791.891.992.092.192.492.592.592.792.993.193.393.493.793.894.094.394.394.594.794.894.895.095.195.295.395.495.695.795.895.995.995.996.096.196.196.196.196.196.196.296.296.396.496.496.596.696.897.097.297.497.697.998.398.698.899.099.399.6100100.4100.8101.2101.6101.8101.9102.0102.0102.0101.9101.8101.7101.5101.2100.9100.499.798.697.196.2
19경북전세가격지수109.4109.7109.8109.7109.7109.6109.5109.3109.0108.6108.2107.9107.6107.5107.3107.1106.9106.8106.7106.4106.1106.0105.7105.5105.2104.9104.5104.2103.9103.6103.3102.8102.3101.7101.3100.6100.199.799.398.798.397.997.597.096.596.195.895.495.295.094.894.694.594.494.494.394.394.394.494.795.095.195.596.196.997.798.298.799.3100100.4101.1101.6102.3103.1103.8104.1104.3104.5104.7104.9105.1105.3105.3105.2104.9104.0102.3101.1100.2
20경남전세가격지수109.2109.4109.5109.7109.8109.9110.1110.2110.3110.3110.3110.2110.3110.4110.5110.6110.6110.6110.6110.5110.2109.8109.1108.3107.8107.2106.3105.9105.5105.0104.4103.8103.1102.4101.8101.1100.499.899.398.798.197.697.296.695.995.094.293.593.192.792.692.792.892.993.093.293.393.593.794.194.594.895.697.498.398.899.399.599.7100100.5101.2101.7102.6103.5104.0104.4104.7105.1105.5105.9106.3106.5106.5106.3105.7104.3101.999.898.2
21제주전세가격지수96.196.797.699.0100.0100.9101.0101.0100.9100.8100.8100.7100.8101.0101.4101.7102.0102.1102.0101.9101.8101.6101.6101.6101.7101.7101.7101.7101.5101.5101.3101.0100.7100.299.999.399.098.798.698.598.298.097.897.497.296.996.596.195.695.294.894.594.594.294.093.893.693.593.493.393.393.393.393.593.994.595.095.796.9100101.5103.0104.1105.3105.9106.6107.0107.2107.3107.4107.4107.6107.6107.6107.5107.4107.1106.0104.9104.0
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Duplicate rows

Most frequently occurring

분류항목2015년 9월2015년 10월2015년 11월2015년 12월2016년 1월2016년 2월2016년 3월2016년 4월2016년 5월2016년 6월2016년 7월2016년 8월2016년 9월2016년 10월2016년 11월2016년 12월2017년 1월2017년 2월2017년 3월2017년 4월2017년 5월2017년 6월2017년 7월2017년 8월2017년 9월2017년 10월2017년 11월2017년 12월2018년 1월2018년 2월2018년 3월2018년 4월2018년 5월2018년 6월2018년 7월2018년 8월2018년 9월2018년 10월2018년 11월2018년 12월2019년 1월2019년 2월2019년 3월2019년 4월2019년 5월2019년 6월2019년 7월2019년 8월2019년 9월2019년 10월2019년 11월2019년 12월2020년 1월2020년 2월2020년 3월2020년 4월2020년 5월2020년 6월2020년 7월2020년 8월2020년 9월2020년 10월2020년 11월2020년 12월2021년 1월2021년 2월2021년 3월2021년 4월2021년 5월2021년 6월2021년 7월2021년 8월2021년 9월2021년 10월2021년 11월2021년 12월2022년 1월2022년 2월2022년 3월2022년 4월2022년 5월2022년 6월2022년 7월2022년 8월2022년 9월2022년 10월2022년 11월2022년 12월2023년 1월2023년 2월# duplicates
0<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><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><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2