Overview

Dataset statistics

Number of variables3
Number of observations106
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory27.2 B

Variable types

Numeric2
Categorical1

Dataset

Description경기도 교육재정 성질별 세출 인건비(결산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VH9YDSHA7DU1BRNOFII123669191&infSeq=2

Alerts

금액(원) has 3 (2.8%) zerosZeros

Reproduction

Analysis started2023-12-10 21:50:17.977149
Analysis finished2023-12-10 21:50:18.697025
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct13
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.1038
Minimum2010
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:50:18.744935image/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 deviation3.799572
Coefficient of variation (CV)0.0018846113
Kurtosis-1.235689
Mean2016.1038
Median Absolute Deviation (MAD)3
Skewness-0.023188466
Sum213707
Variance14.436748
MonotonicityDecreasing
2023-12-11T06:50:18.854575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
2022 9
 
8.5%
2021 9
 
8.5%
2020 8
 
7.5%
2019 8
 
7.5%
2018 8
 
7.5%
2017 8
 
7.5%
2016 8
 
7.5%
2015 8
 
7.5%
2014 8
 
7.5%
2013 8
 
7.5%
Other values (3) 24
22.6%
ValueCountFrequency (%)
2010 8
7.5%
2011 8
7.5%
2012 8
7.5%
2013 8
7.5%
2014 8
7.5%
2015 8
7.5%
2016 8
7.5%
2017 8
7.5%
2018 8
7.5%
2019 8
7.5%
ValueCountFrequency (%)
2022 9
8.5%
2021 9
8.5%
2020 8
7.5%
2019 8
7.5%
2018 8
7.5%
2017 8
7.5%
2016 8
7.5%
2015 8
7.5%
2014 8
7.5%
2013 8
7.5%

항목구분명
Categorical

Distinct9
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
교원
13 
교육전문직원
13 
기타직
13 
맞춤형복지비
13 
사립학교교직원
13 
Other values (4)
41 

Length

Max length7
Median length6
Mean length4.6509434
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교원
2nd row교육공무직원
3rd row교육전문직원
4th row기타직
5th row맞춤형복지비

Common Values

ValueCountFrequency (%)
교원 13
12.3%
교육전문직원 13
12.3%
기타직 13
12.3%
맞춤형복지비 13
12.3%
사립학교교직원 13
12.3%
세출결산액 13
12.3%
인건비 13
12.3%
지방공무원 13
12.3%
교육공무직원 2
 
1.9%

Length

2023-12-11T06:50:19.030780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:50:19.163579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교원 13
12.3%
교육전문직원 13
12.3%
기타직 13
12.3%
맞춤형복지비 13
12.3%
사립학교교직원 13
12.3%
세출결산액 13
12.3%
인건비 13
12.3%
지방공무원 13
12.3%
교육공무직원 2
 
1.9%

금액(원)
Real number (ℝ)

ZEROS 

Distinct104
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.7228781 × 1012
Minimum0
Maximum2.234023 × 1013
Zeros3
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T06:50:19.290324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2.7732157 × 1010
Q19.140509 × 1010
median7.7970416 × 1011
Q36.6824904 × 1012
95-th percentile1.3974674 × 1013
Maximum2.234023 × 1013
Range2.234023 × 1013
Interquartile range (IQR)6.5910853 × 1012

Descriptive statistics

Standard deviation5.1074478 × 1012
Coefficient of variation (CV)1.3719084
Kurtosis1.6402825
Mean3.7228781 × 1012
Median Absolute Deviation (MAD)7.2401599 × 1011
Skewness1.4866356
Sum3.9462508 × 1014
Variance2.6086023 × 1025
MonotonicityNot monotonic
2023-12-11T06:50:19.432579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.8%
8149270860150 1
 
0.9%
644350594980 1
 
0.9%
30016168240 1
 
0.9%
45396344820 1
 
0.9%
5279034442000 1
 
0.9%
591562048460 1
 
0.9%
6967667253340 1
 
0.9%
12140148462570 1
 
0.9%
693079456260 1
 
0.9%
Other values (94) 94
88.7%
ValueCountFrequency (%)
0 3
2.8%
19144700760 1
 
0.9%
22391649690 1
 
0.9%
26970819460 1
 
0.9%
30016168240 1
 
0.9%
45396344820 1
 
0.9%
47491307270 1
 
0.9%
50829710360 1
 
0.9%
52756183370 1
 
0.9%
55239693570 1
 
0.9%
ValueCountFrequency (%)
22340229541920 1
0.9%
18513543282370 1
0.9%
17518715068140 1
0.9%
17324705111050 1
0.9%
15846948377420 1
0.9%
14178389528660 1
0.9%
13363529014800 1
0.9%
12486574088260 1
0.9%
12140148462570 1
0.9%
11508774943910 1
0.9%

Interactions

2023-12-11T06:50:18.437597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:18.057295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:18.511558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:50:18.361368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:50:19.511150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.678
금액(원)0.0000.6781.000
2023-12-11T06:50:19.601464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.2350.000
금액(원)0.2351.0000.388
항목구분명0.0000.3881.000

Missing values

2023-12-11T06:50:18.600676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:50:18.669975image/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)
02022교원8149270860150
12022교육공무직원1132145617930
22022교육전문직원91320306360
32022기타직55555060470
42022맞춤형복지비156999891600
52022사립학교교직원1057676150480
62022세출결산액22340229541920
72022인건비11508774943910
82022지방공무원865807056920
92021교원7690963625890
회계연도항목구분명금액(원)
962011인건비5714223404070
972011지방공무원476614770090
982010교원4352874668130
992010교육전문직원0
1002010기타직84751683030
1012010맞춤형복지비55239693570
1022010사립학교교직원475314723210
1032010세출결산액8501558999800
1042010인건비5405641156310
1052010지방공무원437460388370