Overview

Dataset statistics

Number of variables5
Number of observations21
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory51.3 B

Variable types

Numeric5

Dataset

Description통합재정수지, 관리재정수지 등 재정수지 시계열 자료입니다. *수치가 기본단위보다 적거나 수치가 없을 경우 0으로 표시했습니다.
Author한국재정정보원
URLhttps://www.data.go.kr/data/15050334/fileData.do

Alerts

연도 is highly overall correlated with 관리재정수지(조원) and 1 other fieldsHigh correlation
통합재정수지(조원) is highly overall correlated with 통합재정수지 GDP대비 비중(퍼센트) and 1 other fieldsHigh correlation
통합재정수지 GDP대비 비중(퍼센트) is highly overall correlated with 통합재정수지(조원) and 2 other fieldsHigh correlation
관리재정수지(조원) is highly overall correlated with 연도 and 2 other fieldsHigh correlation
관리재정수지 GDP대비 비중(퍼센트) is highly overall correlated with 연도 and 3 other fieldsHigh correlation
연도 has unique valuesUnique
통합재정수지(조원) has unique valuesUnique
관리재정수지(조원) has unique valuesUnique
통합재정수지 GDP대비 비중(퍼센트) has 1 (4.8%) zerosZeros

Reproduction

Analysis started2023-12-12 11:54:41.089110
Analysis finished2023-12-12 11:54:44.578318
Duration3.49 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010
Minimum2000
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size321.0 B
2023-12-12T20:54:44.659418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001
Q12005
median2010
Q32015
95-th percentile2019
Maximum2020
Range20
Interquartile range (IQR)10

Descriptive statistics

Standard deviation6.2048368
Coefficient of variation (CV)0.0030869835
Kurtosis-1.2
Mean2010
Median Absolute Deviation (MAD)5
Skewness0
Sum42210
Variance38.5
MonotonicityStrictly increasing
2023-12-12T20:54:44.809524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
2000 1
 
4.8%
2001 1
 
4.8%
2020 1
 
4.8%
2019 1
 
4.8%
2018 1
 
4.8%
2017 1
 
4.8%
2016 1
 
4.8%
2015 1
 
4.8%
2014 1
 
4.8%
2013 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
2000 1
4.8%
2001 1
4.8%
2002 1
4.8%
2003 1
4.8%
2004 1
4.8%
2005 1
4.8%
2006 1
4.8%
2007 1
4.8%
2008 1
4.8%
2009 1
4.8%
ValueCountFrequency (%)
2020 1
4.8%
2019 1
4.8%
2018 1
4.8%
2017 1
4.8%
2016 1
4.8%
2015 1
4.8%
2014 1
4.8%
2013 1
4.8%
2012 1
4.8%
2011 1
4.8%

통합재정수지(조원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.22381
Minimum-30.5
Maximum37
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)14.3%
Memory size321.0 B
2023-12-12T20:54:44.952142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-30.5
5-th percentile-17.6
Q15.6
median8.5
Q318.5
95-th percentile31.2
Maximum37
Range67.5
Interquartile range (IQR)12.9

Descriptive statistics

Standard deviation15.001063
Coefficient of variation (CV)1.4672675
Kurtosis2.0307513
Mean10.22381
Median Absolute Deviation (MAD)8.2
Skewness-0.92456359
Sum214.7
Variance225.0319
MonotonicityNot monotonic
2023-12-12T20:54:45.086855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
6.5 1
 
4.8%
7.3 1
 
4.8%
-30.5 1
 
4.8%
1.0 1
 
4.8%
31.2 1
 
4.8%
24.0 1
 
4.8%
16.9 1
 
4.8%
-0.2 1
 
4.8%
8.5 1
 
4.8%
14.2 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-30.5 1
4.8%
-17.6 1
4.8%
-0.2 1
4.8%
1.0 1
4.8%
4.9 1
4.8%
5.6 1
4.8%
6.0 1
4.8%
6.5 1
4.8%
7.3 1
4.8%
7.6 1
4.8%
ValueCountFrequency (%)
37.0 1
4.8%
31.2 1
4.8%
24.0 1
4.8%
22.7 1
4.8%
18.6 1
4.8%
18.5 1
4.8%
16.9 1
4.8%
16.7 1
4.8%
15.8 1
4.8%
14.2 1
4.8%

통합재정수지 GDP대비 비중(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct12
Distinct (%)57.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.88571429
Minimum-1.5
Maximum3.4
Zeros1
Zeros (%)4.8%
Negative2
Negative (%)9.5%
Memory size321.0 B
2023-12-12T20:54:45.263093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5
5-th percentile-1.5
Q10.5
median1
Q31.3
95-th percentile2.9
Maximum3.4
Range4.9
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.1208415
Coefficient of variation (CV)1.2654662
Kurtosis1.7431046
Mean0.88571429
Median Absolute Deviation (MAD)0.4
Skewness-0.14294126
Sum18.6
Variance1.2562857
MonotonicityNot monotonic
2023-12-12T20:54:45.401741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1.3 4
19.0%
1.0 3
14.3%
0.9 2
9.5%
0.6 2
9.5%
0.5 2
9.5%
-1.5 2
9.5%
2.9 1
 
4.8%
3.4 1
 
4.8%
1.4 1
 
4.8%
0.0 1
 
4.8%
Other values (2) 2
9.5%
ValueCountFrequency (%)
-1.5 2
9.5%
0.0 1
 
4.8%
0.1 1
 
4.8%
0.5 2
9.5%
0.6 2
9.5%
0.9 2
9.5%
1.0 3
14.3%
1.3 4
19.0%
1.4 1
 
4.8%
1.6 1
 
4.8%
ValueCountFrequency (%)
3.4 1
 
4.8%
2.9 1
 
4.8%
1.6 1
 
4.8%
1.4 1
 
4.8%
1.3 4
19.0%
1.0 3
14.3%
0.9 2
9.5%
0.6 2
9.5%
0.5 2
9.5%
0.1 1
 
4.8%

관리재정수지(조원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct21
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-17.761905
Minimum-71.5
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)85.7%
Memory size321.0 B
2023-12-12T20:54:45.550483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-71.5
5-th percentile-43.2
Q1-22.7
median-13
Q3-6.7
95-th percentile5.1
Maximum6.8
Range78.3
Interquartile range (IQR)16

Descriptive statistics

Standard deviation18.665141
Coefficient of variation (CV)-1.0508524
Kurtosis2.1475923
Mean-17.761905
Median Absolute Deviation (MAD)8.1
Skewness-1.3157481
Sum-373
Variance348.38748
MonotonicityNot monotonic
2023-12-12T20:54:45.702744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-6.0 1
 
4.8%
-8.2 1
 
4.8%
-71.5 1
 
4.8%
-42.3 1
 
4.8%
-10.6 1
 
4.8%
-18.5 1
 
4.8%
-22.7 1
 
4.8%
-38.0 1
 
4.8%
-29.5 1
 
4.8%
-21.1 1
 
4.8%
Other values (11) 11
52.4%
ValueCountFrequency (%)
-71.5 1
4.8%
-43.2 1
4.8%
-42.3 1
4.8%
-38.0 1
4.8%
-29.5 1
4.8%
-22.7 1
4.8%
-21.1 1
4.8%
-18.5 1
4.8%
-17.4 1
4.8%
-13.5 1
4.8%
ValueCountFrequency (%)
6.8 1
4.8%
5.1 1
4.8%
1.0 1
4.8%
-3.6 1
4.8%
-6.0 1
4.8%
-6.7 1
4.8%
-8.2 1
4.8%
-8.4 1
4.8%
-10.6 1
4.8%
-11.7 1
4.8%

관리재정수지 GDP대비 비중(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.1761905
Minimum-3.6
Maximum0.6
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)85.7%
Memory size321.0 B
2023-12-12T20:54:45.845482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.6
5-th percentile-3.5
Q1-1.4
median-1
Q3-0.7
95-th percentile0.6
Maximum0.6
Range4.2
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation1.0866944
Coefficient of variation (CV)-0.92391024
Kurtosis0.83866681
Mean-1.1761905
Median Absolute Deviation (MAD)0.4
Skewness-0.66853653
Sum-24.7
Variance1.1809048
MonotonicityNot monotonic
2023-12-12T20:54:45.977549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.0 4
19.0%
0.6 2
 
9.5%
-1.2 2
 
9.5%
-0.9 1
 
4.8%
-1.9 1
 
4.8%
-3.5 1
 
4.8%
-2.2 1
 
4.8%
-0.6 1
 
4.8%
-1.3 1
 
4.8%
-2.3 1
 
4.8%
Other values (6) 6
28.6%
ValueCountFrequency (%)
-3.6 1
 
4.8%
-3.5 1
 
4.8%
-2.3 1
 
4.8%
-2.2 1
 
4.8%
-1.9 1
 
4.8%
-1.4 1
 
4.8%
-1.3 1
 
4.8%
-1.2 2
9.5%
-1.0 4
19.0%
-0.9 1
 
4.8%
ValueCountFrequency (%)
0.6 2
9.5%
0.1 1
 
4.8%
-0.4 1
 
4.8%
-0.6 1
 
4.8%
-0.7 1
 
4.8%
-0.8 1
 
4.8%
-0.9 1
 
4.8%
-1.0 4
19.0%
-1.2 2
9.5%
-1.3 1
 
4.8%

Interactions

2023-12-12T20:54:43.876151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:41.563949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.177958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.786963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.357062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:44.028967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:41.701009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.316796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.911058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.467715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:44.125038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:41.807084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.450602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.039782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.585349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:44.201467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:41.929857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.555270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.148320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.672002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:44.296558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.056600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:42.675629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.267400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T20:54:43.788811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T20:54:46.080516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도통합재정수지(조원)통합재정수지 GDP대비 비중(퍼센트)관리재정수지(조원)관리재정수지 GDP대비 비중(퍼센트)
연도1.0000.5950.6100.3250.138
통합재정수지(조원)0.5951.0000.8200.8880.763
통합재정수지 GDP대비 비중(퍼센트)0.6100.8201.0000.6290.849
관리재정수지(조원)0.3250.8880.6291.0000.929
관리재정수지 GDP대비 비중(퍼센트)0.1380.7630.8490.9291.000
2023-12-12T20:54:46.235131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도통합재정수지(조원)통합재정수지 GDP대비 비중(퍼센트)관리재정수지(조원)관리재정수지 GDP대비 비중(퍼센트)
연도1.0000.023-0.212-0.791-0.588
통합재정수지(조원)0.0231.0000.9210.3910.510
통합재정수지 GDP대비 비중(퍼센트)-0.2120.9211.0000.5730.630
관리재정수지(조원)-0.7910.3910.5731.0000.941
관리재정수지 GDP대비 비중(퍼센트)-0.5880.5100.6300.9411.000

Missing values

2023-12-12T20:54:44.401205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T20:54:44.534718image/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

연도통합재정수지(조원)통합재정수지 GDP대비 비중(퍼센트)관리재정수지(조원)관리재정수지 GDP대비 비중(퍼센트)
020006.51.0-6.0-0.9
120017.31.0-8.2-1.2
2200222.72.95.10.6
320037.60.91.00.1
420045.60.6-3.6-0.4
520054.90.5-6.7-0.7
620066.00.6-8.4-0.8
7200737.03.46.80.6
8200815.81.4-11.7-1.0
92009-17.6-1.5-43.2-3.6
연도통합재정수지(조원)통합재정수지 GDP대비 비중(퍼센트)관리재정수지(조원)관리재정수지 GDP대비 비중(퍼센트)
11201118.61.3-13.5-1.0
12201218.51.3-17.4-1.2
13201314.20.9-21.1-1.4
1420148.50.5-29.5-1.9
152015-0.20.0-38.0-2.3
16201616.91.0-22.7-1.3
17201724.01.3-18.5-1.0
18201831.21.6-10.6-0.6
1920191.00.1-42.3-2.2
202020-30.5-1.5-71.5-3.5