Overview

Dataset statistics

Number of variables3
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 KiB
Average record size in memory27.4 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 세출 총괄(예산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VTYJ35VZBN9XSPG562IO23884550&infSeq=2

Alerts

금액(원) has 5 (5.4%) zerosZeros

Reproduction

Analysis started2023-12-10 22:31:28.493341
Analysis finished2023-12-10 22:31:29.143827
Duration0.65 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct11
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.1522
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T07:31:29.187601image/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 deviation3.2000508
Coefficient of variation (CV)0.001585634
Kurtosis-1.2394136
Mean2018.1522
Median Absolute Deviation (MAD)3
Skewness-0.069156277
Sum185670
Variance10.240325
MonotonicityDecreasing
2023-12-11T07:31:29.269176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 9
9.8%
2022 9
9.8%
2021 9
9.8%
2020 9
9.8%
2019 8
8.7%
2018 8
8.7%
2017 8
8.7%
2016 8
8.7%
2015 8
8.7%
2014 8
8.7%
ValueCountFrequency (%)
2013 8
8.7%
2014 8
8.7%
2015 8
8.7%
2016 8
8.7%
2017 8
8.7%
2018 8
8.7%
2019 8
8.7%
2020 9
9.8%
2021 9
9.8%
2022 9
9.8%
ValueCountFrequency (%)
2023 9
9.8%
2022 9
9.8%
2021 9
9.8%
2020 9
9.8%
2019 8
8.7%
2018 8
8.7%
2017 8
8.7%
2016 8
8.7%
2015 8
8.7%
2014 8
8.7%

항목구분명
Categorical

Distinct9
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size868.0 B
물건비
11 
상환지출
11 
세출예산액
11 
예비비및기타
11 
이전지출
11 
Other values (4)
37 

Length

Max length6
Median length4
Mean length4.1195652
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row내부거래
2nd row물건비
3rd row상환지출
4th row세출예산액
5th row예비비및기타

Common Values

ValueCountFrequency (%)
물건비 11
12.0%
상환지출 11
12.0%
세출예산액 11
12.0%
예비비및기타 11
12.0%
이전지출 11
12.0%
인건비 11
12.0%
자본지출 11
12.0%
전출금등 11
12.0%
내부거래 4
 
4.3%

Length

2023-12-11T07:31:29.363602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:31:29.456021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물건비 11
12.0%
상환지출 11
12.0%
세출예산액 11
12.0%
예비비및기타 11
12.0%
이전지출 11
12.0%
인건비 11
12.0%
자본지출 11
12.0%
전출금등 11
12.0%
내부거래 4
 
4.3%

금액(원)
Real number (ℝ)

ZEROS 

Distinct87
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.5225191 × 1012
Minimum0
Maximum2.2334511 × 1013
Zeros5
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T07:31:29.578433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5.5 × 108
Q11.7880125 × 1011
median7.5297968 × 1011
Q33.5476642 × 1012
95-th percentile1.493965 × 1013
Maximum2.2334511 × 1013
Range2.2334511 × 1013
Interquartile range (IQR)3.368863 × 1012

Descriptive statistics

Standard deviation5.2003395 × 1012
Coefficient of variation (CV)1.4763126
Kurtosis2.0157603
Mean3.5225191 × 1012
Median Absolute Deviation (MAD)7.401965 × 1011
Skewness1.6864755
Sum3.2407176 × 1014
Variance2.7043531 × 1025
MonotonicityNot monotonic
2023-12-11T07:31:29.683866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5
 
5.4%
1010000000 2
 
2.2%
1564431063000 1
 
1.1%
504518891000 1
 
1.1%
733755518000 1
 
1.1%
8084482329000 1
 
1.1%
149902830000 1
 
1.1%
361211260000 1
 
1.1%
12122991238000 1
 
1.1%
56321500000 1
 
1.1%
Other values (77) 77
83.7%
ValueCountFrequency (%)
0 5
5.4%
1000000000 1
 
1.1%
1010000000 2
 
2.2%
12000000000 1
 
1.1%
13566365000 1
 
1.1%
14000000000 1
 
1.1%
16052098000 1
 
1.1%
21370000000 1
 
1.1%
27011000000 1
 
1.1%
27879300000 1
 
1.1%
ValueCountFrequency (%)
22334511186000 1
1.1%
19195902297000 1
1.1%
16465048025000 1
1.1%
15921804872000 1
1.1%
15417755831000 1
1.1%
14548472098000 1
1.1%
12626636837000 1
1.1%
12122991238000 1
1.1%
12052413872000 1
1.1%
11886922490000 1
1.1%

Interactions

2023-12-11T07:31:28.913911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:28.579049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:28.975900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:31:28.853839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:31:29.751347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.739
금액(원)0.0000.7391.000
2023-12-11T07:31:29.819565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.0860.000
금액(원)0.0861.0000.450
항목구분명0.0000.4501.000

Missing values

2023-12-11T07:31:29.057392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:31:29.118759image/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)
02023내부거래1564431063000
12023물건비745345015000
22023상환지출0
32023세출예산액22334511186000
42023예비비및기타36551328000
52023이전지출802479694000
62023인건비12626636837000
72023자본지출2650240664000
82023전출금등3908826585000
92022내부거래1010000000
회계연도항목구분명금액(원)
822014자본지출727468057000
832014전출금등2696201022000
842013물건비518120422000
852013상환지출0
862013세출예산액10933647855000
872013예비비및기타105355017000
882013이전지출209685822000
892013인건비6686228377000
902013자본지출1051677695000
912013전출금등2362580522000