Overview

Dataset statistics

Number of variables3
Number of observations65
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 KiB
Average record size in memory28.0 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 재정지표 통합재정수지(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4IS9FO8YKY5T26L13PPO23712743&infSeq=2

Alerts

금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:35:48.974103
Analysis finished2023-12-10 21:35:49.573781
Duration0.6 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct13
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T06:35:49.630975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12013
median2016
Q32019
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.7707758
Coefficient of variation (CV)0.0018704245
Kurtosis-1.2148343
Mean2016
Median Absolute Deviation (MAD)3
Skewness0
Sum131040
Variance14.21875
MonotonicityDecreasing
2023-12-11T06:35:49.744699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 5
 
7.7%
2021 5
 
7.7%
2020 5
 
7.7%
2019 5
 
7.7%
2018 5
 
7.7%
2017 5
 
7.7%
2016 5
 
7.7%
2015 5
 
7.7%
2014 5
 
7.7%
2013 5
 
7.7%
Other values (3) 15
23.1%
ValueCountFrequency (%)
2010 5
7.7%
2011 5
7.7%
2012 5
7.7%
2013 5
7.7%
2014 5
7.7%
2015 5
7.7%
2016 5
7.7%
2017 5
7.7%
2018 5
7.7%
2019 5
7.7%
ValueCountFrequency (%)
2022 5
7.7%
2021 5
7.7%
2020 5
7.7%
2019 5
7.7%
2018 5
7.7%
2017 5
7.7%
2016 5
7.7%
2015 5
7.7%
2014 5
7.7%
2013 5
7.7%

항목구분명
Categorical

Distinct5
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size652.0 B
순세계잉여금
13 
통합재정수입
13 
통합재정수지I
13 
통합재정수지II
13 
통합재정지출
13 

Length

Max length8
Median length6
Mean length6.6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row순세계잉여금
2nd row통합재정수입
3rd row통합재정수지I
4th row통합재정수지II
5th row통합재정지출

Common Values

ValueCountFrequency (%)
순세계잉여금 13
20.0%
통합재정수입 13
20.0%
통합재정수지I 13
20.0%
통합재정수지II 13
20.0%
통합재정지출 13
20.0%

Length

2023-12-11T06:35:49.860493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:35:49.981009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
순세계잉여금 13
20.0%
통합재정수입 13
20.0%
통합재정수지i 13
20.0%
통합재정수지ii 13
20.0%
통합재정지출 13
20.0%

금액(원)
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.8127113 × 1012
Minimum-1.1674288 × 1012
Maximum2.3820553 × 1013
Zeros0
Zeros (%)0.0%
Negative11
Negative (%)16.9%
Memory size717.0 B
2023-12-11T06:35:50.124704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.1674288 × 1012
5-th percentile-5.5632634 × 1011
Q12.5696083 × 1011
median9.0107382 × 1011
Q31.1319144 × 1013
95-th percentile1.801585 × 1013
Maximum2.3820553 × 1013
Range2.4987981 × 1013
Interquartile range (IQR)1.1062183 × 1013

Descriptive statistics

Standard deviation7.007586 × 1012
Coefficient of variation (CV)1.2055624
Kurtosis-0.81700553
Mean5.8127113 × 1012
Median Absolute Deviation (MAD)1.4754377 × 1012
Skewness0.76633428
Sum3.7782623 × 1014
Variance4.9106261 × 1025
MonotonicityNot monotonic
2023-12-11T06:35:50.487562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
570266001600 1
 
1.5%
11072499109790 1
 
1.5%
186642935630 1
 
1.5%
11319144161620 1
 
1.5%
-1167428799880 1
 
1.5%
-980785864250 1
 
1.5%
12486572961500 1
 
1.5%
256960827830 1
 
1.5%
11317783445090 1
 
1.5%
-412946139940 1
 
1.5%
Other values (55) 55
84.6%
ValueCountFrequency (%)
-1167428799880 1
1.5%
-980785864250 1
1.5%
-786139763860 1
1.5%
-574363891140 1
1.5%
-484176159000 1
1.5%
-438399373720 1
1.5%
-412946139940 1
1.5%
-351233078150 1
1.5%
-271751779880 1
1.5%
-155985312110 1
1.5%
ValueCountFrequency (%)
23820552598080 1
1.5%
19305959690090 1
1.5%
18781599818950 1
1.5%
18049125344760 1
1.5%
17882747484870 1
1.5%
17105956304980 1
1.5%
16834204525100 1
1.5%
15948567557670 1
1.5%
15796905841880 1
1.5%
15069024203020 1
1.5%

Interactions

2023-12-11T06:35:49.276520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:49.066973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:49.355095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:35:49.190664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:35:50.592677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.380
항목구분명0.0001.0000.795
금액(원)0.3800.7951.000
2023-12-11T06:35:50.695117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.3240.000
금액(원)0.3241.0000.431
항목구분명0.0000.4311.000

Missing values

2023-12-11T06:35:49.472801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:35:49.544457image/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

회계연도항목구분명금액(원)
02022순세계잉여금570266001600
12022통합재정수입23820552598080
22022통합재정수지I4514592907990
32022통합재정수지II5084858909590
42022통합재정지출19305959690090
52021순세계잉여금491492219570
62021통합재정수입18781599818950
72021통합재정수지I898852334080
82021통합재정수지II1390344553650
92021통합재정지출17882747484870
회계연도항목구분명금액(원)
552011순세계잉여금513236780190
562011통합재정수입9619914937920
572011통합재정수지I387837042760
582011통합재정수지II901073822950
592011통합재정지출9232077895160
602010순세계잉여금668379587680
612010통합재정수입7927193234890
622010통합재정수지I-574363891140
632010통합재정수지II94015696540
642010통합재정지출8501557126030