Overview

Dataset statistics

Number of variables4
Number of observations492
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory16.9 KiB
Average record size in memory35.3 B

Variable types

DateTime1
Numeric3

Dataset

Descriptiono 내용 : 맞춤형 신청 정보 관리를 위한 단순한 시계열 누적 형태의 년,월 구분 정보로서 월, 분기, 반기, 연도별 컬럼으로 구성한 테이블 o 대상 : 1982년 (1월)부터 2022년(12월) 까지 월, 분기, 반기, 연도별 구분 구성 정보 1 맞춤형 신청정보 연월별 구분, 년+월 2 맞춤형 신청정보 분기별 구분, 년+분기 3 맞춤형 신청정보 반기별 구분, 년+반기구분(1또는2) 4 맞춤형 신청정보 연도 5 맞춤형 신청정보 연월을 한글로 표기한 컬럼명
URLhttps://www.data.go.kr/data/15122151/fileData.do

Alerts

맞춤형 신청정보 분기 is highly overall correlated with 맞춤형 신청정보 반기 and 1 other fieldsHigh correlation
맞춤형 신청정보 반기 is highly overall correlated with 맞춤형 신청정보 분기 and 1 other fieldsHigh correlation
맞춤형 신청정보 연도 is highly overall correlated with 맞춤형 신청정보 분기 and 1 other fieldsHigh correlation
맞춤형 신청정보년월 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:02:26.834855
Analysis finished2023-12-12 15:02:28.007120
Duration1.17 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

맞춤형 신청정보년월
Date

UNIQUE 

Distinct492
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
Minimum1982-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-13T00:02:28.068943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:28.199849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

맞춤형 신청정보 분기
Real number (ℝ)

HIGH CORRELATION 

Distinct164
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20022.5
Minimum19821
Maximum20224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T00:02:28.358307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19821
5-th percentile19841
Q119921.75
median20022.5
Q320123.25
95-th percentile20204
Maximum20224
Range403
Interquartile range (IQR)201.5

Descriptive statistics

Standard deviation118.44731
Coefficient of variation (CV)0.0059157104
Kurtosis-1.2012165
Mean20022.5
Median Absolute Deviation (MAD)101
Skewness0
Sum9851070
Variance14029.766
MonotonicityIncreasing
2023-12-13T00:02:28.498901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19821 3
 
0.6%
20081 3
 
0.6%
20083 3
 
0.6%
20084 3
 
0.6%
20091 3
 
0.6%
20092 3
 
0.6%
20093 3
 
0.6%
20094 3
 
0.6%
20101 3
 
0.6%
20102 3
 
0.6%
Other values (154) 462
93.9%
ValueCountFrequency (%)
19821 3
0.6%
19822 3
0.6%
19823 3
0.6%
19824 3
0.6%
19831 3
0.6%
19832 3
0.6%
19833 3
0.6%
19834 3
0.6%
19841 3
0.6%
19842 3
0.6%
ValueCountFrequency (%)
20224 3
0.6%
20223 3
0.6%
20222 3
0.6%
20221 3
0.6%
20214 3
0.6%
20213 3
0.6%
20212 3
0.6%
20211 3
0.6%
20204 3
0.6%
20203 3
0.6%

맞춤형 신청정보 반기
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20021.5
Minimum19821
Maximum20222
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T00:02:28.645249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19821
5-th percentile19841
Q119921
median20021.5
Q320122
95-th percentile20202
Maximum20222
Range401
Interquartile range (IQR)201

Descriptive statistics

Standard deviation118.44308
Coefficient of variation (CV)0.0059157946
Kurtosis-1.2013898
Mean20021.5
Median Absolute Deviation (MAD)100.5
Skewness0
Sum9850578
Variance14028.764
MonotonicityIncreasing
2023-12-13T00:02:28.825287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19821 6
 
1.2%
20131 6
 
1.2%
20121 6
 
1.2%
20112 6
 
1.2%
20111 6
 
1.2%
20102 6
 
1.2%
20101 6
 
1.2%
20092 6
 
1.2%
20091 6
 
1.2%
20082 6
 
1.2%
Other values (72) 432
87.8%
ValueCountFrequency (%)
19821 6
1.2%
19822 6
1.2%
19831 6
1.2%
19832 6
1.2%
19841 6
1.2%
19842 6
1.2%
19851 6
1.2%
19852 6
1.2%
19861 6
1.2%
19862 6
1.2%
ValueCountFrequency (%)
20222 6
1.2%
20221 6
1.2%
20212 6
1.2%
20211 6
1.2%
20202 6
1.2%
20201 6
1.2%
20192 6
1.2%
20191 6
1.2%
20182 6
1.2%
20181 6
1.2%

맞춤형 신청정보 연도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2002
Minimum1982
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-13T00:02:28.976842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1982
5-th percentile1984
Q11992
median2002
Q32012
95-th percentile2020
Maximum2022
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.844202
Coefficient of variation (CV)0.0059161851
Kurtosis-1.2014332
Mean2002
Median Absolute Deviation (MAD)10
Skewness0
Sum984984
Variance140.28513
MonotonicityIncreasing
2023-12-13T00:02:29.157130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1982 12
 
2.4%
2013 12
 
2.4%
2005 12
 
2.4%
2006 12
 
2.4%
2007 12
 
2.4%
2008 12
 
2.4%
2009 12
 
2.4%
2010 12
 
2.4%
2011 12
 
2.4%
2012 12
 
2.4%
Other values (31) 372
75.6%
ValueCountFrequency (%)
1982 12
2.4%
1983 12
2.4%
1984 12
2.4%
1985 12
2.4%
1986 12
2.4%
1987 12
2.4%
1988 12
2.4%
1989 12
2.4%
1990 12
2.4%
1991 12
2.4%
ValueCountFrequency (%)
2022 12
2.4%
2021 12
2.4%
2020 12
2.4%
2019 12
2.4%
2018 12
2.4%
2017 12
2.4%
2016 12
2.4%
2015 12
2.4%
2014 12
2.4%
2013 12
2.4%

Interactions

2023-12-13T00:02:27.571426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:26.931808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.293221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.663377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.056134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.384595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.764314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.201946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:02:27.472804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:02:29.257539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
맞춤형 신청정보 분기맞춤형 신청정보 반기맞춤형 신청정보 연도
맞춤형 신청정보 분기1.0001.0000.996
맞춤형 신청정보 반기1.0001.0000.996
맞춤형 신청정보 연도0.9960.9961.000
2023-12-13T00:02:29.369358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
맞춤형 신청정보 분기맞춤형 신청정보 반기맞춤형 신청정보 연도
맞춤형 신청정보 분기1.0001.0001.000
맞춤형 신청정보 반기1.0001.0001.000
맞춤형 신청정보 연도1.0001.0001.000

Missing values

2023-12-13T00:02:27.895642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:02:27.975466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

맞춤형 신청정보년월맞춤형 신청정보 분기맞춤형 신청정보 반기맞춤형 신청정보 연도
01982-0119821198211982
11982-0219821198211982
21982-0319821198211982
31982-0419822198211982
41982-0519822198211982
51982-0619822198211982
61982-0719823198221982
71982-0819823198221982
81982-0919823198221982
91982-1019824198221982
맞춤형 신청정보년월맞춤형 신청정보 분기맞춤형 신청정보 반기맞춤형 신청정보 연도
4822022-0320221202212022
4832022-0420222202212022
4842022-0520222202212022
4852022-0620222202212022
4862022-0720223202222022
4872022-0820223202222022
4882022-0920223202222022
4892022-1020224202222022
4902022-1120224202222022
4912022-1220224202222022