Overview

Dataset statistics

Number of variables3
Number of observations736
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory27.2 B

Variable types

Numeric3

Dataset

Description고령화지수(행정구역, 고령화지수) 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/bigdata/collect/view.chungnam?menuCd=DOM_000000201001001000&apiIdx=100

Alerts

기준연도 is highly overall correlated with 고령화지수High correlation
고령화지수 is highly overall correlated with 기준연도High correlation
행정구역코드 has 41 (5.6%) zerosZeros

Reproduction

Analysis started2024-01-09 21:47:05.662341
Analysis finished2024-01-09 21:47:06.649452
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연도
Real number (ℝ)

HIGH CORRELATION 

Distinct41
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2030.053
Minimum2010
Maximum2050
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-01-10T06:47:06.706357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2012
Q12020
median2030
Q32040
95-th percentile2048
Maximum2050
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.812419
Coefficient of variation (CV)0.0058187737
Kurtosis-1.1999217
Mean2030.053
Median Absolute Deviation (MAD)10
Skewness-0.0011954753
Sum1494119
Variance139.53324
MonotonicityIncreasing
2024-01-10T06:47:06.819344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
2031 18
 
2.4%
2039 18
 
2.4%
2032 18
 
2.4%
2033 18
 
2.4%
2034 18
 
2.4%
2035 18
 
2.4%
2036 18
 
2.4%
2037 18
 
2.4%
2038 18
 
2.4%
2040 18
 
2.4%
Other values (31) 556
75.5%
ValueCountFrequency (%)
2010 17
2.3%
2011 17
2.3%
2012 18
2.4%
2013 18
2.4%
2014 18
2.4%
2015 18
2.4%
2016 18
2.4%
2017 18
2.4%
2018 18
2.4%
2019 18
2.4%
ValueCountFrequency (%)
2050 18
2.4%
2049 18
2.4%
2048 18
2.4%
2047 18
2.4%
2046 18
2.4%
2045 18
2.4%
2044 18
2.4%
2043 18
2.4%
2042 18
2.4%
2041 18
2.4%

행정구역코드
Real number (ℝ)

ZEROS 

Distinct18
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.55163
Minimum0
Maximum39
Zeros41
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-01-10T06:47:06.926213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q123
median31
Q335
95-th percentile39
Maximum39
Range39
Interquartile range (IQR)12

Descriptive statistics

Standard deviation9.7676432
Coefficient of variation (CV)0.35452142
Kurtosis1.3317351
Mean27.55163
Median Absolute Deviation (MAD)6
Skewness-1.2603275
Sum20278
Variance95.406854
MonotonicityNot monotonic
2024-01-10T06:47:07.044396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0 41
 
5.6%
11 41
 
5.6%
39 41
 
5.6%
38 41
 
5.6%
37 41
 
5.6%
36 41
 
5.6%
35 41
 
5.6%
34 41
 
5.6%
33 41
 
5.6%
32 41
 
5.6%
Other values (8) 326
44.3%
ValueCountFrequency (%)
0 41
5.6%
11 41
5.6%
21 41
5.6%
22 41
5.6%
23 41
5.6%
24 41
5.6%
25 41
5.6%
26 41
5.6%
29 39
5.3%
31 41
5.6%
ValueCountFrequency (%)
39 41
5.6%
38 41
5.6%
37 41
5.6%
36 41
5.6%
35 41
5.6%
34 41
5.6%
33 41
5.6%
32 41
5.6%
31 41
5.6%
29 39
5.3%

고령화지수
Real number (ℝ)

HIGH CORRELATION 

Distinct699
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.43845
Minimum37.2
Maximum701.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-01-10T06:47:07.184778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.2
5-th percentile65.275
Q1129.2
median283.9
Q3410
95-th percentile562.9
Maximum701.7
Range664.5
Interquartile range (IQR)280.8

Descriptive statistics

Standard deviation163.95786
Coefficient of variation (CV)0.57642649
Kurtosis-1.0050673
Mean284.43845
Median Absolute Deviation (MAD)143.05
Skewness0.2965673
Sum209346.7
Variance26882.179
MonotonicityNot monotonic
2024-01-10T06:47:07.555362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
361.4 3
 
0.4%
104.1 2
 
0.3%
496.2 2
 
0.3%
111.3 2
 
0.3%
162.8 2
 
0.3%
353.0 2
 
0.3%
442.2 2
 
0.3%
370.7 2
 
0.3%
77.8 2
 
0.3%
86.0 2
 
0.3%
Other values (689) 715
97.1%
ValueCountFrequency (%)
37.2 1
0.1%
40.1 1
0.1%
43.7 1
0.1%
44.3 1
0.1%
44.5 1
0.1%
46.0 1
0.1%
46.3 1
0.1%
47.6 2
0.3%
47.9 1
0.1%
48.6 1
0.1%
ValueCountFrequency (%)
701.7 1
0.1%
687.8 1
0.1%
685.4 1
0.1%
673.7 1
0.1%
673.4 1
0.1%
661.5 1
0.1%
657.8 1
0.1%
648.2 1
0.1%
642.0 1
0.1%
634.2 1
0.1%

Interactions

2024-01-10T06:47:06.292922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:05.738596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:06.044395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:06.377715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:05.826598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:06.130447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:06.466544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:05.936206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:47:06.211412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:47:07.638149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도행정구역코드고령화지수
기준연도1.0000.0000.838
행정구역코드0.0001.0000.389
고령화지수0.8380.3891.000
2024-01-10T06:47:07.712888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기준연도행정구역코드고령화지수
기준연도1.000-0.0000.867
행정구역코드-0.0001.0000.096
고령화지수0.8670.0961.000

Missing values

2024-01-10T06:47:06.564574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:47:06.624761image/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

기준연도행정구역코드고령화지수
02010067.3
120101166.2
220102182.3
320102262.4
420102351.2
520102447.6
620102549.1
720102637.2
820103147.6
920103295.2
기준연도행정구역코드고령화지수
726205029218.6
727205031370.7
728205032624.3
729205033513.1
730205034508.6
731205035605.5
732205036701.7
733205037685.4
734205038581.8
735205039378.5