Overview

Dataset statistics

Number of variables3
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory28.4 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 세출 이전지출(예산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=GT7KY17XGMXM5P9BQYBI23911022&infSeq=2

Alerts

금액(원) has unique valuesUnique
금액(원) has 1 (1.8%) zerosZeros

Reproduction

Analysis started2023-12-10 21:07:23.850403
Analysis finished2023-12-10 21:07:24.424522
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct11
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T06:07:24.475732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2013
5-th percentile2013
Q12015
median2018
Q32021
95-th percentile2023
Maximum2023
Range10
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.1914237
Coefficient of variation (CV)0.0015814785
Kurtosis-1.221074
Mean2018
Median Absolute Deviation (MAD)3
Skewness0
Sum110990
Variance10.185185
MonotonicityDecreasing
2023-12-11T06:07:24.568196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 5
9.1%
2022 5
9.1%
2021 5
9.1%
2020 5
9.1%
2019 5
9.1%
2018 5
9.1%
2017 5
9.1%
2016 5
9.1%
2015 5
9.1%
2014 5
9.1%
ValueCountFrequency (%)
2013 5
9.1%
2014 5
9.1%
2015 5
9.1%
2016 5
9.1%
2017 5
9.1%
2018 5
9.1%
2019 5
9.1%
2020 5
9.1%
2021 5
9.1%
2022 5
9.1%
ValueCountFrequency (%)
2023 5
9.1%
2022 5
9.1%
2021 5
9.1%
2020 5
9.1%
2019 5
9.1%
2018 5
9.1%
2017 5
9.1%
2016 5
9.1%
2015 5
9.1%
2014 5
9.1%

항목구분명
Categorical

Distinct5
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size572.0 B
기타이전지출
11 
세출예산액
11 
이전지출
11 
자치단체 경상보조
11 
자치단체 보육료보조
11 

Length

Max length10
Median length6
Mean length6.8
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타이전지출
2nd row세출예산액
3rd row이전지출
4th row자치단체 경상보조
5th row자치단체 보육료보조

Common Values

ValueCountFrequency (%)
기타이전지출 11
20.0%
세출예산액 11
20.0%
이전지출 11
20.0%
자치단체 경상보조 11
20.0%
자치단체 보육료보조 11
20.0%

Length

2023-12-11T06:07:24.673602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:07:24.774878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자치단체 22
28.6%
기타이전지출 11
14.3%
세출예산액 11
14.3%
이전지출 11
14.3%
경상보조 11
14.3%
보육료보조 11
14.3%

금액(원)
Real number (ℝ)

UNIQUE  ZEROS 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.1835502 × 1012
Minimum0
Maximum2.2334511 × 1013
Zeros1
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-11T06:07:24.886626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.1326228 × 1010
Q11.331043 × 1011
median2.831848 × 1011
Q37.8154702 × 1011
95-th percentile1.6084778 × 1013
Maximum2.2334511 × 1013
Range2.2334511 × 1013
Interquartile range (IQR)6.4844272 × 1011

Descriptive statistics

Standard deviation6.0375136 × 1012
Coefficient of variation (CV)1.8964719
Kurtosis1.9017967
Mean3.1835502 × 1012
Median Absolute Deviation (MAD)2.6878529 × 1011
Skewness1.8155661
Sum1.7509526 × 1014
Variance3.6451571 × 1025
MonotonicityNot monotonic
2023-12-11T06:07:25.006822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
231645160000 1
 
1.8%
22334511186000 1
 
1.8%
150031895000 1
 
1.8%
12052413872000 1
 
1.8%
296219712000 1
 
1.8%
14399512000 1
 
1.8%
131788305000 1
 
1.8%
139731990000 1
 
1.8%
12122991238000 1
 
1.8%
149902830000 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
0 1
1.8%
10170840000 1
1.8%
11248425000 1
1.8%
11359572000 1
1.8%
12036730000 1
1.8%
14399512000 1
1.8%
14786778000 1
1.8%
15586388000 1
1.8%
24313785000 1
1.8%
40677275000 1
1.8%
ValueCountFrequency (%)
22334511186000 1
1.8%
19195902297000 1
1.8%
16465048025000 1
1.8%
15921804872000 1
1.8%
15417755831000 1
1.8%
14548472098000 1
1.8%
12122991238000 1
1.8%
12052413872000 1
1.8%
11764860214000 1
1.8%
11278472732000 1
1.8%

Interactions

2023-12-11T06:07:24.138089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:23.933597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:24.219416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:07:24.046072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:07:25.075628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.554
금액(원)0.0000.5541.000
2023-12-11T06:07:25.147844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.2310.000
금액(원)0.2311.0000.387
항목구분명0.0000.3871.000

Missing values

2023-12-11T06:07:24.326632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:07:24.395724image/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)
02023기타이전지출231645160000
12023세출예산액22334511186000
22023이전지출802479694000
32023자치단체 경상보조14786778000
42023자치단체 보육료보조556047756000
52022기타이전지출248339596000
62022세출예산액19195902297000
72022이전지출878960493000
82022자치단체 경상보조59414657000
92022자치단체 보육료보조571206240000
회계연도항목구분명금액(원)
452014기타이전지출283184804000
462014세출예산액11278472732000
472014이전지출734689615000
482014자치단체 경상보조40677275000
492014자치단체 보육료보조410827536000
502013기타이전지출59679133000
512013세출예산액10933647855000
522013이전지출209685822000
532013자치단체 경상보조15586388000
542013자치단체 보육료보조134420301000