Overview

Dataset statistics

Number of variables3
Number of observations99
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory27.3 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 재정지표 행정 운영 경비 비율(예산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=OJFJBIKFQTOET66Y38SF23945910&infSeq=2

Reproduction

Analysis started2023-12-10 21:09:20.538561
Analysis finished2023-12-10 21:09:20.979299
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct11
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:09:21.029584image/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 deviation3.1783708
Coefficient of variation (CV)0.0015750103
Kurtosis-1.2207904
Mean2018
Median Absolute Deviation (MAD)3
Skewness0
Sum199782
Variance10.102041
MonotonicityDecreasing
2023-12-11T06:09:21.104441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 9
9.1%
2022 9
9.1%
2021 9
9.1%
2020 9
9.1%
2019 9
9.1%
2018 9
9.1%
2017 9
9.1%
2016 9
9.1%
2015 9
9.1%
2014 9
9.1%
ValueCountFrequency (%)
2013 9
9.1%
2014 9
9.1%
2015 9
9.1%
2016 9
9.1%
2017 9
9.1%
2018 9
9.1%
2019 9
9.1%
2020 9
9.1%
2021 9
9.1%
2022 9
9.1%
ValueCountFrequency (%)
2023 9
9.1%
2022 9
9.1%
2021 9
9.1%
2020 9
9.1%
2019 9
9.1%
2018 9
9.1%
2017 9
9.1%
2016 9
9.1%
2015 9
9.1%
2014 9
9.1%

항목구분명
Categorical

Distinct7
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size924.0 B
기본경비
22 
인력운영경비
22 
교육기관(D)
11 
세출예산액(A)
11 
행정기관(E)
11 
Other values (2)
22 

Length

Max length20
Median length8
Mean length8.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육기관(D)
2nd row기본경비
3rd row기본경비
4th row세출예산액(A)
5th row인력운영경비

Common Values

ValueCountFrequency (%)
기본경비 22
22.2%
인력운영경비 22
22.2%
교육기관(D) 11
11.1%
세출예산액(A) 11
11.1%
행정기관(E) 11
11.1%
행정운영경비 비율(B=C/A*100) 11
11.1%
행정운영경비(C=D+E) 11
11.1%

Length

2023-12-11T06:09:21.225717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:09:21.324777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기본경비 22
20.0%
인력운영경비 22
20.0%
교육기관(d 11
10.0%
세출예산액(a 11
10.0%
행정기관(e 11
10.0%
행정운영경비 11
10.0%
비율(b=c/a*100 11
10.0%
행정운영경비(c=d+e 11
10.0%

금액및비율
Real number (ℝ)

Distinct95
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9527325 × 1012
Minimum63
Maximum2.2334511 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1023.0 B
2023-12-11T06:09:21.431444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum63
5-th percentile67
Q16.6694319 × 1011
median1.3360938 × 1012
Q38.8681658 × 1012
95-th percentile1.46354 × 1013
Maximum2.2334511 × 1013
Range2.2334511 × 1013
Interquartile range (IQR)8.2012226 × 1012

Descriptive statistics

Standard deviation5.3945263 × 1012
Coefficient of variation (CV)1.089202
Kurtosis-0.031650306
Mean4.9527325 × 1012
Median Absolute Deviation (MAD)1.3360938 × 1012
Skewness0.89574782
Sum4.9032052 × 1014
Variance2.9100914 × 1025
MonotonicityNot monotonic
2023-12-11T06:09:21.535815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 3
 
3.0%
63 2
 
2.0%
66 2
 
2.0%
40763343000 1
 
1.0%
50887473000 1
 
1.0%
1082237588000 1
 
1.0%
7809247888000 1
 
1.0%
8848949180000 1
 
1.0%
73 1
 
1.0%
761474777000 1
 
1.0%
Other values (85) 85
85.9%
ValueCountFrequency (%)
63 2
2.0%
66 2
2.0%
67 3
3.0%
69 1
 
1.0%
73 1
 
1.0%
74 1
 
1.0%
77 1
 
1.0%
40763343000 1
 
1.0%
48656778000 1
 
1.0%
50611299000 1
 
1.0%
ValueCountFrequency (%)
22334511186000 1
1.0%
19195902297000 1
1.0%
16465048025000 1
1.0%
15921804872000 1
1.0%
15417755831000 1
1.0%
14548472098000 1
1.0%
14022086220000 1
1.0%
12893668902000 1
1.0%
12122991238000 1
1.0%
12052413872000 1
1.0%

Interactions

2023-12-11T06:09:20.761692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:09:20.614177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:09:20.828190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:09:20.683819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:09:21.600428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액및비율
회계연도1.0000.0000.000
항목구분명0.0001.0000.667
금액및비율0.0000.6671.000
2023-12-11T06:09:21.669398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액및비율항목구분명
회계연도1.0000.1950.000
금액및비율0.1951.0000.428
항목구분명0.0000.4281.000

Missing values

2023-12-11T06:09:20.902100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:09:20.957017image/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

회계연도항목구분명금액및비율
02023교육기관(D)12893668902000
12023기본경비66126412000
22023기본경비1640923857000
32023세출예산액(A)22334511186000
42023인력운영경비1062290906000
52023인력운영경비11252745045000
62023행정기관(E)1128417318000
72023행정운영경비 비율(B=C/A*100)63
82023행정운영경비(C=D+E)14022086220000
92022교육기관(D)10960142830000
회계연도항목구분명금액및비율
892014행정운영경비(C=D+E)7523349086000
902013교육기관(D)6836581491000
912013기본경비850389184000
922013기본경비48656778000
932013세출예산액(A)10933647855000
942013인력운영경비613266808000
952013인력운영경비5986192307000
962013행정기관(E)661923586000
972013행정운영경비 비율(B=C/A*100)69
982013행정운영경비(C=D+E)7498505077000