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 성질별 이전지출(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=I6MQJN8WWZ4NMNWN9L5C23684215&infSeq=2

Alerts

금액(원) has 2 (3.1%) zerosZeros

Reproduction

Analysis started2023-12-10 21:11:06.670704
Analysis finished2023-12-10 21:11:07.124125
Duration0.45 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
2023-12-11T06:11:07.170535image/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
2023-12-11T06:11:07.267505image/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
기타이전지출
13 
세출결산액
13 
이전지출
13 
자치단체경상보조
13 
자치단체보육료보조
13 

Length

Max length9
Median length6
Mean length6.4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타이전지출
2nd row세출결산액
3rd row이전지출
4th row자치단체경상보조
5th row자치단체보육료보조

Common Values

ValueCountFrequency (%)
기타이전지출 13
20.0%
세출결산액 13
20.0%
이전지출 13
20.0%
자치단체경상보조 13
20.0%
자치단체보육료보조 13
20.0%

Length

2023-12-11T06:11:07.373707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:11:07.464026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타이전지출 13
20.0%
세출결산액 13
20.0%
이전지출 13
20.0%
자치단체경상보조 13
20.0%
자치단체보육료보조 13
20.0%

금액(원)
Real number (ℝ)

ZEROS 

Distinct64
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0723785 × 1012
Minimum0
Maximum2.234023 × 1013
Zeros2
Zeros (%)3.1%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-11T06:11:07.574673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.0169517 × 1010
Q17.1873282 × 1010
median3.2324761 × 1011
Q38.3096087 × 1011
95-th percentile1.7029154 × 1013
Maximum2.234023 × 1013
Range2.234023 × 1013
Interquartile range (IQR)7.5908759 × 1011

Descriptive statistics

Standard deviation5.8306015 × 1012
Coefficient of variation (CV)1.8977484
Kurtosis2.2014558
Mean3.0723785 × 1012
Median Absolute Deviation (MAD)2.9607444 × 1011
Skewness1.8781568
Sum1.997046 × 1014
Variance3.3995914 × 1025
MonotonicityNot monotonic
2023-12-11T06:11:07.693843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2
 
3.1%
269467717810 1
 
1.5%
16117582000 1
 
1.5%
296981578830 1
 
1.5%
12486574088260 1
 
1.5%
849425651660 1
 
1.5%
11383554830 1
 
1.5%
541060518000 1
 
1.5%
123268919210 1
 
1.5%
12140148462570 1
 
1.5%
Other values (54) 54
83.1%
ValueCountFrequency (%)
0 2
3.1%
7727537000 1
1.5%
9866007740 1
1.5%
11383554830 1
1.5%
12131069250 1
1.5%
12423648630 1
1.5%
15734058000 1
1.5%
16117582000 1
1.5%
27173170760 1
1.5%
33154759780 1
1.5%
ValueCountFrequency (%)
22340229541920 1
1.5%
18513543282370 1
1.5%
17518715068140 1
1.5%
17324705111050 1
1.5%
15846948377420 1
1.5%
14178389528660 1
1.5%
13363529014800 1
1.5%
12486574088260 1
1.5%
12140148462570 1
1.5%
11072941197190 1
1.5%

Interactions

2023-12-11T06:11:06.884459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:06.741977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:06.954251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:11:06.815774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:11:07.810241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.574
금액(원)0.0000.5741.000
2023-12-11T06:11:07.885334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.3390.000
금액(원)0.3391.0000.387
항목구분명0.0000.3871.000

Missing values

2023-12-11T06:11:07.036756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:11:07.098495image/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)
02022기타이전지출269467717810
12022세출결산액22340229541920
22022이전지출965601644470
32022자치단체경상보조67806718660
42022자치단체보육료보조628327208000
52021기타이전지출299120931620
62021세출결산액18513543282370
72021이전지출973943042270
82021자치단체경상보조46628758650
92021자치단체보육료보조628193352000
회계연도항목구분명금액(원)
552011기타이전지출105210912810
562011세출결산액9675254653090
572011이전지출112938449810
582011자치단체경상보조7727537000
592011자치단체보육료보조0
602010기타이전지출71873282180
612010세출결산액8501558999800
622010이전지출105028041960
632010자치단체경상보조33154759780
642010자치단체보육료보조0