Overview

Dataset statistics

Number of variables3
Number of observations107
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory27.2 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 세출 총괄(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ICBS0XYPGUU2U7QEU27J23655497&infSeq=2

Alerts

금액(원) has 4 (3.7%) zerosZeros

Reproduction

Analysis started2023-12-10 21:06:49.122638
Analysis finished2023-12-10 21:06:49.674501
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct13
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.1402
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:49.728732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12013
median2016
Q32019.5
95-th percentile2022
Maximum2022
Range12
Interquartile range (IQR)6.5

Descriptive statistics

Standard deviation3.8003192
Coefficient of variation (CV)0.0018849479
Kurtosis-1.2426313
Mean2016.1402
Median Absolute Deviation (MAD)3
Skewness-0.041885387
Sum215727
Variance14.442426
MonotonicityDecreasing
2023-12-11T06:06:49.823161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 9
 
8.4%
2021 9
 
8.4%
2020 9
 
8.4%
2019 8
 
7.5%
2018 8
 
7.5%
2017 8
 
7.5%
2016 8
 
7.5%
2015 8
 
7.5%
2014 8
 
7.5%
2013 8
 
7.5%
Other values (3) 24
22.4%
ValueCountFrequency (%)
2010 8
7.5%
2011 8
7.5%
2012 8
7.5%
2013 8
7.5%
2014 8
7.5%
2015 8
7.5%
2016 8
7.5%
2017 8
7.5%
2018 8
7.5%
2019 8
7.5%
ValueCountFrequency (%)
2022 9
8.4%
2021 9
8.4%
2020 9
8.4%
2019 8
7.5%
2018 8
7.5%
2017 8
7.5%
2016 8
7.5%
2015 8
7.5%
2014 8
7.5%
2013 8
7.5%

항목구분명
Categorical

Distinct9
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size988.0 B
물건비
13 
상환지출
13 
세출결산액
13 
예비비 및 기타
13 
이전지출
13 
Other values (4)
42 

Length

Max length8
Median length5
Mean length4.4859813
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내부거래
2nd row물건비
3rd row상환지출
4th row세출결산액
5th row예비비 및 기타

Common Values

ValueCountFrequency (%)
물건비 13
12.1%
상환지출 13
12.1%
세출결산액 13
12.1%
예비비 및 기타 13
12.1%
이전지출 13
12.1%
인건비 13
12.1%
자본지출 13
12.1%
전출금 등 13
12.1%
내부거래 3
 
2.8%

Length

2023-12-11T06:06:49.936061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:06:50.062713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물건비 13
8.9%
상환지출 13
8.9%
세출결산액 13
8.9%
예비비 13
8.9%
및 13
8.9%
기타 13
8.9%
이전지출 13
8.9%
인건비 13
8.9%
자본지출 13
8.9%
전출금 13
8.9%
Other values (2) 16
11.0%

금액(원)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4272359 × 1012
Minimum0
Maximum2.234023 × 1013
Zeros4
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:06:50.202349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1350863
Q14.1419899 × 1011
median8.8184307 × 1011
Q33.7127426 × 1012
95-th percentile1.3933931 × 1013
Maximum2.234023 × 1013
Range2.234023 × 1013
Interquartile range (IQR)3.2985436 × 1012

Descriptive statistics

Standard deviation4.9430555 × 1012
Coefficient of variation (CV)1.4422863
Kurtosis2.63834
Mean3.4272359 × 1012
Median Absolute Deviation (MAD)8.7340532 × 1011
Skewness1.8021693
Sum3.6671424 × 1014
Variance2.4433797 × 1025
MonotonicityNot monotonic
2023-12-11T06:06:50.330612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
3.7%
2738201220000 1
 
0.9%
497468279270 1
 
0.9%
442087400 1
 
0.9%
11072941197190 1
 
0.9%
535740759690 1
 
0.9%
2845557812170 1
 
0.9%
821806251840 1
 
0.9%
6967667253340 1
 
0.9%
598229988410 1
 
0.9%
Other values (94) 94
87.9%
ValueCountFrequency (%)
0 4
3.7%
757930 1
 
0.9%
1126760 1
 
0.9%
1873770 1
 
0.9%
74288630 1
 
0.9%
194649470 1
 
0.9%
442087400 1
 
0.9%
3550062420 1
 
0.9%
8437753400 1
 
0.9%
10181505200 1
 
0.9%
ValueCountFrequency (%)
22340229541920 1
0.9%
18513543282370 1
0.9%
17518715068140 1
0.9%
17324705111050 1
0.9%
15846948377420 1
0.9%
14178389528660 1
0.9%
13363529014800 1
0.9%
12486574088260 1
0.9%
12140148462570 1
0.9%
11508774943910 1
0.9%

Interactions

2023-12-11T06:06:49.360141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.203698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.442534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:06:49.282488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:06:50.413838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.756
금액(원)0.0000.7561.000
2023-12-11T06:06:50.510171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.1770.000
금액(원)0.1771.0000.469
항목구분명0.0000.4691.000

Missing values

2023-12-11T06:06:49.548297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:06:49.637610image/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)
02022내부거래2738201220000
12022물건비703482486060
22022상환지출270108306000
32022세출결산액22340229541920
42022예비비 및 기타37390209150
52022이전지출965601644470
62022인건비11508774943910
72022자본지출2344226441590
82022전출금 등3772444290740
92021내부거래18953728000
회계연도항목구분명금액(원)
972011자본지출697484127620
982011전출금 등2246354091550
992010물건비380110096760
1002010상환지출0
1012010세출결산액8501558999800
1022010예비비 및 기타1873770
1032010이전지출105028041960
1042010인건비5405641156310
1052010자본지출918728697800
1062010전출금 등1692049133200