Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory59.0 B

Variable types

Numeric5
Categorical1

Dataset

Description통합, 관리 재정수지, GDP 대비 비중 등 시계열 자료
Author한국재정정보원
URLhttps://www.data.go.kr/data/15077732/fileData.do

Alerts

연도 is highly overall correlated with 관리재정수지규모(조원) and 1 other fieldsHigh correlation
통합재정수지규모(조원) is highly overall correlated with GDP대비 통합재정수지규모 비중(퍼센트) and 2 other fieldsHigh correlation
GDP대비 통합재정수지규모 비중(퍼센트) is highly overall correlated with 통합재정수지규모(조원) and 2 other fieldsHigh correlation
관리재정수지규모(조원) is highly overall correlated with 연도 and 3 other fieldsHigh correlation
GDP대비 관리재정수지규모 비중(퍼센트) is highly overall correlated with 연도 and 3 other fieldsHigh correlation
기준 is highly overall correlated with 통합재정수지규모(조원) and 1 other fieldsHigh correlation
기준 is highly imbalanced (66.5%)Imbalance
연도 has unique valuesUnique
통합재정수지규모(조원) has unique valuesUnique
관리재정수지규모(조원) has unique valuesUnique
GDP대비 통합재정수지규모 비중(퍼센트) has 1 (4.5%) zerosZeros

Reproduction

Analysis started2023-12-12 13:51:44.203290
Analysis finished2023-12-12 13:51:46.859517
Duration2.66 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2010.5
Minimum2000
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-12T22:51:46.947647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2000
5-th percentile2001.05
Q12005.25
median2010.5
Q32015.75
95-th percentile2019.95
Maximum2021
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)0.0032298366
Kurtosis-1.2
Mean2010.5
Median Absolute Deviation (MAD)5.5
Skewness0
Sum44231
Variance42.166667
MonotonicityStrictly increasing
2023-12-12T22:51:47.069130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
2000 1
 
4.5%
2012 1
 
4.5%
2021 1
 
4.5%
2020 1
 
4.5%
2019 1
 
4.5%
2018 1
 
4.5%
2017 1
 
4.5%
2016 1
 
4.5%
2015 1
 
4.5%
2014 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
2000 1
4.5%
2001 1
4.5%
2002 1
4.5%
2003 1
4.5%
2004 1
4.5%
2005 1
4.5%
2006 1
4.5%
2007 1
4.5%
2008 1
4.5%
2009 1
4.5%
ValueCountFrequency (%)
2021 1
4.5%
2020 1
4.5%
2019 1
4.5%
2018 1
4.5%
2017 1
4.5%
2016 1
4.5%
2015 1
4.5%
2014 1
4.5%
2013 1
4.5%
2012 1
4.5%

기준
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size308.0 B
결산
20 
4차추경
 
1
예산
 
1

Length

Max length4
Median length2
Mean length2.0909091
Min length2

Unique

Unique2 ?
Unique (%)9.1%

Sample

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

Common Values

ValueCountFrequency (%)
결산 20
90.9%
4차추경 1
 
4.5%
예산 1
 
4.5%

Length

2023-12-12T22:51:47.236384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:51:47.390276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
결산 20
90.9%
4차추경 1
 
4.5%
예산 1
 
4.5%

통합재정수지규모(조원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3090909
Minimum-84
Maximum37
Zeros0
Zeros (%)0.0%
Negative5
Negative (%)22.7%
Memory size330.0 B
2023-12-12T22:51:47.512609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-84
5-th percentile-72.51
Q15.075
median8.05
Q318.1
95-th percentile30.84
Maximum37
Range121
Interquartile range (IQR)13.025

Descriptive statistics

Standard deviation29.60751
Coefficient of variation (CV)8.9473246
Kurtosis4.7012638
Mean3.3090909
Median Absolute Deviation (MAD)8.75
Skewness-2.1680899
Sum72.8
Variance876.60468
MonotonicityNot monotonic
2023-12-12T22:51:47.645001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
6.5 1
 
4.5%
18.5 1
 
4.5%
-75.4 1
 
4.5%
-84.0 1
 
4.5%
-12.0 1
 
4.5%
31.2 1
 
4.5%
24.0 1
 
4.5%
16.9 1
 
4.5%
-0.2 1
 
4.5%
8.5 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
-84.0 1
4.5%
-75.4 1
4.5%
-17.6 1
4.5%
-12.0 1
4.5%
-0.2 1
4.5%
4.9 1
4.5%
5.6 1
4.5%
6.0 1
4.5%
6.5 1
4.5%
7.3 1
4.5%
ValueCountFrequency (%)
37.0 1
4.5%
31.2 1
4.5%
24.0 1
4.5%
22.7 1
4.5%
18.6 1
4.5%
18.5 1
4.5%
16.9 1
4.5%
16.7 1
4.5%
15.8 1
4.5%
14.2 1
4.5%

GDP대비 통합재정수지규모 비중(퍼센트)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)63.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.51363636
Minimum-4.4
Maximum3.4
Zeros1
Zeros (%)4.5%
Negative4
Negative (%)18.2%
Memory size330.0 B
2023-12-12T22:51:47.798314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.4
5-th percentile-3.59
Q10.5
median0.95
Q31.3
95-th percentile2.835
Maximum3.4
Range7.8
Interquartile range (IQR)0.8

Descriptive statistics

Standard deviation1.7854692
Coefficient of variation (CV)3.4761348
Kurtosis2.8937235
Mean0.51363636
Median Absolute Deviation (MAD)0.4
Skewness-1.4826113
Sum11.3
Variance3.1879004
MonotonicityNot monotonic
2023-12-12T22:51:47.906552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1.3 4
18.2%
1.0 3
13.6%
0.9 2
9.1%
0.6 2
9.1%
0.5 2
9.1%
2.9 1
 
4.5%
3.4 1
 
4.5%
1.4 1
 
4.5%
-1.5 1
 
4.5%
0.0 1
 
4.5%
Other values (4) 4
18.2%
ValueCountFrequency (%)
-4.4 1
 
4.5%
-3.7 1
 
4.5%
-1.5 1
 
4.5%
-0.6 1
 
4.5%
0.0 1
 
4.5%
0.5 2
9.1%
0.6 2
9.1%
0.9 2
9.1%
1.0 3
13.6%
1.3 4
18.2%
ValueCountFrequency (%)
3.4 1
 
4.5%
2.9 1
 
4.5%
1.6 1
 
4.5%
1.4 1
 
4.5%
1.3 4
18.2%
1.0 3
13.6%
0.9 2
9.1%
0.6 2
9.1%
0.5 2
9.1%
0.0 1
 
4.5%

관리재정수지규모(조원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-24.759091
Minimum-118.6
Maximum6.8
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)86.4%
Memory size330.0 B
2023-12-12T22:51:48.064432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-118.6
5-th percentile-109.595
Q1-27.8
median-13.25
Q3-7.075
95-th percentile4.895
Maximum6.8
Range125.4
Interquartile range (IQR)20.725

Descriptive statistics

Standard deviation33.012763
Coefficient of variation (CV)-1.3333593
Kurtosis4.0268541
Mean-24.759091
Median Absolute Deviation (MAD)8.65
Skewness-2.069889
Sum-544.7
Variance1089.8425
MonotonicityNot monotonic
2023-12-12T22:51:48.205633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-6.0 1
 
4.5%
-17.4 1
 
4.5%
-112.5 1
 
4.5%
-118.6 1
 
4.5%
-54.4 1
 
4.5%
-10.6 1
 
4.5%
-18.5 1
 
4.5%
-22.7 1
 
4.5%
-38.0 1
 
4.5%
-29.5 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
-118.6 1
4.5%
-112.5 1
4.5%
-54.4 1
4.5%
-43.2 1
4.5%
-38.0 1
4.5%
-29.5 1
4.5%
-22.7 1
4.5%
-21.1 1
4.5%
-18.5 1
4.5%
-17.4 1
4.5%
ValueCountFrequency (%)
6.8 1
4.5%
5.1 1
4.5%
1.0 1
4.5%
-3.6 1
4.5%
-6.0 1
4.5%
-6.7 1
4.5%
-8.2 1
4.5%
-8.4 1
4.5%
-10.6 1
4.5%
-11.7 1
4.5%

GDP대비 관리재정수지규모 비중(퍼센트)
Real number (ℝ)

HIGH CORRELATION 

Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5227273
Minimum-6.1
Maximum0.6
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)86.4%
Memory size330.0 B
2023-12-12T22:51:48.332188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-6.1
5-th percentile-5.5
Q1-1.775
median-1
Q3-0.725
95-th percentile0.575
Maximum0.6
Range6.7
Interquartile range (IQR)1.05

Descriptive statistics

Standard deviation1.7040377
Coefficient of variation (CV)-1.1190696
Kurtosis2.4447416
Mean-1.5227273
Median Absolute Deviation (MAD)0.4
Skewness-1.5648482
Sum-33.5
Variance2.9037446
MonotonicityNot monotonic
2023-12-12T22:51:48.458726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.0 4
18.2%
0.6 2
 
9.1%
-1.2 2
 
9.1%
-0.9 1
 
4.5%
-2.3 1
 
4.5%
-5.6 1
 
4.5%
-6.1 1
 
4.5%
-2.8 1
 
4.5%
-0.6 1
 
4.5%
-1.3 1
 
4.5%
Other values (7) 7
31.8%
ValueCountFrequency (%)
-6.1 1
 
4.5%
-5.6 1
 
4.5%
-3.6 1
 
4.5%
-2.8 1
 
4.5%
-2.3 1
 
4.5%
-1.9 1
 
4.5%
-1.4 1
 
4.5%
-1.3 1
 
4.5%
-1.2 2
9.1%
-1.0 4
18.2%
ValueCountFrequency (%)
0.6 2
9.1%
0.1 1
 
4.5%
-0.4 1
 
4.5%
-0.6 1
 
4.5%
-0.7 1
 
4.5%
-0.8 1
 
4.5%
-0.9 1
 
4.5%
-1.0 4
18.2%
-1.2 2
9.1%
-1.3 1
 
4.5%

Interactions

2023-12-12T22:51:46.148983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.417123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.809642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.221547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.681147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:46.217005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.485663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.891079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.298170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.768536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:46.296543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.575560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.972655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.388157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.899806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:46.418051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.664457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.069734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.475694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.985538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:46.512248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:44.739821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.147385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:45.584016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:51:46.067287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:51:48.578446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도기준통합재정수지규모(조원)GDP대비 통합재정수지규모 비중(퍼센트)관리재정수지규모(조원)GDP대비 관리재정수지규모 비중(퍼센트)
연도1.0000.0000.6050.6800.6970.335
기준0.0001.0000.8840.6560.8840.642
통합재정수지규모(조원)0.6050.8841.0000.9070.9100.885
GDP대비 통합재정수지규모 비중(퍼센트)0.6800.6560.9071.0000.8900.932
관리재정수지규모(조원)0.6970.8840.9100.8901.0000.933
GDP대비 관리재정수지규모 비중(퍼센트)0.3350.6420.8850.9320.9331.000
2023-12-12T22:51:48.693998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도통합재정수지규모(조원)GDP대비 통합재정수지규모 비중(퍼센트)관리재정수지규모(조원)GDP대비 관리재정수지규모 비중(퍼센트)기준
연도1.000-0.113-0.325-0.828-0.6580.000
통합재정수지규모(조원)-0.1131.0000.9320.4700.5760.538
GDP대비 통합재정수지규모 비중(퍼센트)-0.3250.9321.0000.6300.6790.487
관리재정수지규모(조원)-0.8280.4700.6301.0000.9500.538
GDP대비 관리재정수지규모 비중(퍼센트)-0.6580.5760.6790.9501.0000.429
기준0.0000.5380.4870.5380.4291.000

Missing values

2023-12-12T22:51:46.637418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:51:46.790632image/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

연도기준통합재정수지규모(조원)GDP대비 통합재정수지규모 비중(퍼센트)관리재정수지규모(조원)GDP대비 관리재정수지규모 비중(퍼센트)
02000결산6.51.0-6.0-0.9
12001결산7.31.0-8.2-1.2
22002결산22.72.95.10.6
32003결산7.60.91.00.1
42004결산5.60.6-3.6-0.4
52005결산4.90.5-6.7-0.7
62006결산6.00.6-8.4-0.8
72007결산37.03.46.80.6
82008결산15.81.4-11.7-1.0
92009결산-17.6-1.5-43.2-3.6
연도기준통합재정수지규모(조원)GDP대비 통합재정수지규모 비중(퍼센트)관리재정수지규모(조원)GDP대비 관리재정수지규모 비중(퍼센트)
122012결산18.51.3-17.4-1.2
132013결산14.20.9-21.1-1.4
142014결산8.50.5-29.5-1.9
152015결산-0.20.0-38.0-2.3
162016결산16.91.0-22.7-1.3
172017결산24.01.3-18.5-1.0
182018결산31.21.6-10.6-0.6
192019결산-12.0-0.6-54.4-2.8
2020204차추경-84.0-4.4-118.6-6.1
212021예산-75.4-3.7-112.5-5.6