Overview

Dataset statistics

Number of variables3
Number of observations78
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory27.7 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 자본지출(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=85BRF2ZTR318JNMS0CBA23694155&infSeq=2

Alerts

금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:22:55.434556
Analysis finished2023-12-10 22:22:56.004165
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct13
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-11T07:22:56.055461image/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 deviation3.7658755
Coefficient of variation (CV)0.0018679938
Kurtosis-1.2148246
Mean2016
Median Absolute Deviation (MAD)3
Skewness0
Sum157248
Variance14.181818
MonotonicityDecreasing
2023-12-11T07:22:56.164424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 6
 
7.7%
2021 6
 
7.7%
2020 6
 
7.7%
2019 6
 
7.7%
2018 6
 
7.7%
2017 6
 
7.7%
2016 6
 
7.7%
2015 6
 
7.7%
2014 6
 
7.7%
2013 6
 
7.7%
Other values (3) 18
23.1%
ValueCountFrequency (%)
2010 6
7.7%
2011 6
7.7%
2012 6
7.7%
2013 6
7.7%
2014 6
7.7%
2015 6
7.7%
2016 6
7.7%
2017 6
7.7%
2018 6
7.7%
2019 6
7.7%
ValueCountFrequency (%)
2022 6
7.7%
2021 6
7.7%
2020 6
7.7%
2019 6
7.7%
2018 6
7.7%
2017 6
7.7%
2016 6
7.7%
2015 6
7.7%
2014 6
7.7%
2013 6
7.7%

항목구분명
Categorical

Distinct6
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size756.0 B
건설비
13 
기타자산취득비
13 
세출결산액
13 
유·무형 자산취득비
13 
자본지출
13 

Length

Max length10
Median length6
Mean length5.6666667
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설비
2nd row기타자산취득비
3rd row세출결산액
4th row유·무형 자산취득비
5th row자본지출

Common Values

ValueCountFrequency (%)
건설비 13
16.7%
기타자산취득비 13
16.7%
세출결산액 13
16.7%
유·무형 자산취득비 13
16.7%
자본지출 13
16.7%
토지매입비 13
16.7%

Length

2023-12-11T07:22:56.289041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:22:56.395387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
건설비 13
14.3%
기타자산취득비 13
14.3%
세출결산액 13
14.3%
유·무형 13
14.3%
자산취득비 13
14.3%
자본지출 13
14.3%
토지매입비 13
14.3%

금액(원)
Real number (ℝ)

UNIQUE 

Distinct78
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.781486 × 1012
Minimum2.9240609 × 108
Maximum2.234023 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size834.0 B
2023-12-11T07:22:56.523480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.9240609 × 108
5-th percentile1.9366441 × 109
Q13.6659294 × 1010
median4.4210071 × 1011
Q31.5062971 × 1012
95-th percentile1.6068612 × 1013
Maximum2.234023 × 1013
Range2.2339937 × 1013
Interquartile range (IQR)1.4696379 × 1012

Descriptive statistics

Standard deviation5.3666626 × 1012
Coefficient of variation (CV)1.9294228
Kurtosis3.4520978
Mean2.781486 × 1012
Median Absolute Deviation (MAD)4.3888601 × 1011
Skewness2.1477932
Sum2.1695591 × 1014
Variance2.8801067 × 1025
MonotonicityNot monotonic
2023-12-11T07:22:56.676111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1901592552720 1
 
1.3%
12140148462570 1
 
1.3%
15823342950 1
 
1.3%
11072941197190 1
 
1.3%
2889568520 1
 
1.3%
452388288100 1
 
1.3%
284597407880 1
 
1.3%
821806251840 1
 
1.3%
16096731200 1
 
1.3%
2684570280 1
 
1.3%
Other values (68) 68
87.2%
ValueCountFrequency (%)
292406090 1
1.3%
1059863630 1
1.3%
1453217660 1
1.3%
1709701060 1
1.3%
1976692900 1
1.3%
1996019920 1
1.3%
2684570280 1
1.3%
2889568520 1
1.3%
3539829970 1
1.3%
3952482250 1
1.3%
ValueCountFrequency (%)
22340229541920 1
1.3%
18513543282370 1
1.3%
17518715068140 1
1.3%
17324705111050 1
1.3%
15846948377420 1
1.3%
14178389528660 1
1.3%
13363529014800 1
1.3%
12486574088260 1
1.3%
12140148462570 1
1.3%
11072941197190 1
1.3%

Interactions

2023-12-11T07:22:55.692315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:55.520416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:55.777501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:22:55.606502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:22:56.758243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.599
금액(원)0.0000.5991.000
2023-12-11T07:22:56.830486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.1340.000
금액(원)0.1341.0000.341
항목구분명0.0000.3411.000

Missing values

2023-12-11T07:22:55.897658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:22:55.976713image/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)
02022건설비1901592552720
12022기타자산취득비14023092240
22022세출결산액22340229541920
32022유·무형 자산취득비193943486730
42022자본지출2344226441590
52022토지매입비234667309900
62021건설비1771585846180
72021기타자산취득비292406090
82021세출결산액18513543282370
92021유·무형 자산취득비153416519180
회계연도항목구분명금액(원)
682011세출결산액9675254653090
692011유·무형 자산취득비10697834220
702011자본지출697484127620
712011토지매입비252996464040
722010건설비431042187790
732010기타자산취득비1059863630
742010세출결산액8501558999800
752010유·무형 자산취득비21825151940
762010자본지출918728697800
772010토지매입비464801494440