Overview

Dataset statistics

Number of variables3
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory27.5 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 세출 물건비(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=X34RFEB7CU11SGQ4AB4C23676096&infSeq=2

Alerts

금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:27:46.107737
Analysis finished2023-12-10 22:27:46.740972
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct13
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T07:27:46.807313image/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 deviation3.7623869
Coefficient of variation (CV)0.0018662634
Kurtosis-1.2147964
Mean2016
Median Absolute Deviation (MAD)3
Skewness0
Sum183456
Variance14.155556
MonotonicityDecreasing
2023-12-11T07:27:46.955532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 7
 
7.7%
2021 7
 
7.7%
2020 7
 
7.7%
2019 7
 
7.7%
2018 7
 
7.7%
2017 7
 
7.7%
2016 7
 
7.7%
2015 7
 
7.7%
2014 7
 
7.7%
2013 7
 
7.7%
Other values (3) 21
23.1%
ValueCountFrequency (%)
2010 7
7.7%
2011 7
7.7%
2012 7
7.7%
2013 7
7.7%
2014 7
7.7%
2015 7
7.7%
2016 7
7.7%
2017 7
7.7%
2018 7
7.7%
2019 7
7.7%
ValueCountFrequency (%)
2022 7
7.7%
2021 7
7.7%
2020 7
7.7%
2019 7
7.7%
2018 7
7.7%
2017 7
7.7%
2016 7
7.7%
2015 7
7.7%
2014 7
7.7%
2013 7
7.7%

항목구분명
Categorical

Distinct7
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
물건비
13 
복리후생비 등
13 
세출결산액
13 
업무추진비
13 
여비
13 
Other values (2)
26 

Length

Max length7
Median length6
Mean length4.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row물건비
2nd row복리후생비 등
3rd row세출결산액
4th row업무추진비
5th row여비

Common Values

ValueCountFrequency (%)
물건비 13
14.3%
복리후생비 등 13
14.3%
세출결산액 13
14.3%
업무추진비 13
14.3%
여비 13
14.3%
운영비 13
14.3%
직무수행경비 13
14.3%

Length

2023-12-11T07:27:47.137553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:27:47.277722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물건비 13
12.5%
복리후생비 13
12.5%
등 13
12.5%
세출결산액 13
12.5%
업무추진비 13
12.5%
여비 13
12.5%
운영비 13
12.5%
직무수행경비 13
12.5%

금액(원)
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1656325 × 1012
Minimum6.7448136 × 108
Maximum2.234023 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T07:27:47.437712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6.7448136 × 108
5-th percentile7.5078246 × 108
Q14.7685609 × 109
median1.068856 × 1010
Q35.1674878 × 1011
95-th percentile1.5012669 × 1013
Maximum2.234023 × 1013
Range2.2339555 × 1013
Interquartile range (IQR)5.1198022 × 1011

Descriptive statistics

Standard deviation5.1204498 × 1012
Coefficient of variation (CV)2.364413
Kurtosis4.7634843
Mean2.1656325 × 1012
Median Absolute Deviation (MAD)9.9388083 × 109
Skewness2.434904
Sum1.9707256 × 1014
Variance2.6219006 × 1025
MonotonicityNot monotonic
2023-12-11T07:27:47.886837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
703482486060 1
 
1.1%
12140148462570 1
 
1.1%
10688560030 1
 
1.1%
4768902780 1
 
1.1%
11072941197190 1
 
1.1%
16561050960 1
 
1.1%
535740759690 1
 
1.1%
751813220 1
 
1.1%
476913894970 1
 
1.1%
9415161670 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
674481360 1
1.1%
701259860 1
1.1%
704433700 1
1.1%
744146460 1
1.1%
749751710 1
1.1%
751813220 1
1.1%
762544480 1
1.1%
820418580 1
1.1%
901083600 1
1.1%
941837670 1
1.1%
ValueCountFrequency (%)
22340229541920 1
1.1%
18513543282370 1
1.1%
17518715068140 1
1.1%
17324705111050 1
1.1%
15846948377420 1
1.1%
14178389528660 1
1.1%
13363529014800 1
1.1%
12486574088260 1
1.1%
12140148462570 1
1.1%
11072941197190 1
1.1%

Interactions

2023-12-11T07:27:46.376022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:46.210894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:46.484442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:27:46.295934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:27:47.966702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.519
금액(원)0.0000.5191.000
2023-12-11T07:27:48.046886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.0920.000
금액(원)0.0921.0000.309
항목구분명0.0000.3091.000

Missing values

2023-12-11T07:27:46.609396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:27:46.703645image/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)
02022물건비703482486060
12022복리후생비 등7222410430
22022세출결산액22340229541920
32022업무추진비9121027670
42022여비11602519580
52022운영비674367530660
62022직무수행경비1168997720
72021물건비560049220540
82021복리후생비 등6597752040
92021세출결산액18513543282370
회계연도항목구분명금액(원)
812011여비9041788570
822011운영비420876643220
832011직무수행경비674481360
842010물건비380110096760
852010복리후생비 등26981086470
862010세출결산액8501558999800
872010업무추진비4768219030
882010여비9548790680
892010운영비338110740720
902010직무수행경비701259860