Overview

Dataset statistics

Number of variables3
Number of observations77
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 세출 물건비(예산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=EYRSBBIYGR2NC3TTB10923906571&infSeq=2

Alerts

금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:45:58.931111
Analysis finished2023-12-10 21:45:59.402473
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct11
Distinct (%)14.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2023-12-11T06:45:59.450338image/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 deviation3.1830141
Coefficient of variation (CV)0.0015773113
Kurtosis-1.2209297
Mean2018
Median Absolute Deviation (MAD)3
Skewness0
Sum155386
Variance10.131579
MonotonicityDecreasing
2023-12-11T06:45:59.547053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 7
9.1%
2022 7
9.1%
2021 7
9.1%
2020 7
9.1%
2019 7
9.1%
2018 7
9.1%
2017 7
9.1%
2016 7
9.1%
2015 7
9.1%
2014 7
9.1%
ValueCountFrequency (%)
2013 7
9.1%
2014 7
9.1%
2015 7
9.1%
2016 7
9.1%
2017 7
9.1%
2018 7
9.1%
2019 7
9.1%
2020 7
9.1%
2021 7
9.1%
2022 7
9.1%
ValueCountFrequency (%)
2023 7
9.1%
2022 7
9.1%
2021 7
9.1%
2020 7
9.1%
2019 7
9.1%
2018 7
9.1%
2017 7
9.1%
2016 7
9.1%
2015 7
9.1%
2014 7
9.1%

항목구분명
Categorical

Distinct7
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size748.0 B
물건비
11 
복리후생비 등
11 
세출예산액
11 
업무추진비
11 
여비
11 
Other values (2)
22 

Length

Max length7
Median length6
Mean length4.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
물건비 11
14.3%
복리후생비 등 11
14.3%
세출예산액 11
14.3%
업무추진비 11
14.3%
여비 11
14.3%
운영비 11
14.3%
직무수행경비 11
14.3%

Length

2023-12-11T06:45:59.881513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:45:59.979383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
물건비 11
12.5%
복리후생비 11
12.5%
등 11
12.5%
세출예산액 11
12.5%
업무추진비 11
12.5%
여비 11
12.5%
운영비 11
12.5%
직무수행경비 11
12.5%

금액(원)
Real number (ℝ)

UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2631734 × 1012
Minimum7.6924 × 108
Maximum2.2334511 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2023-12-11T06:46:00.099587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7.6924 × 108
5-th percentile8.1564 × 108
Q15.103588 × 109
median1.3477269 × 1010
Q35.228196 × 1011
95-th percentile1.5518566 × 1013
Maximum2.2334511 × 1013
Range2.2333742 × 1013
Interquartile range (IQR)5.1771601 × 1011

Descriptive statistics

Standard deviation5.2950864 × 1012
Coefficient of variation (CV)2.3396733
Kurtosis4.3600253
Mean2.2631734 × 1012
Median Absolute Deviation (MAD)1.2553919 × 1010
Skewness2.3661762
Sum1.7426435 × 1014
Variance2.803794 × 1025
MonotonicityNot monotonic
2023-12-11T06:46:00.217780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
745345015000 1
 
1.3%
507244882000 1
 
1.3%
503300898000 1
 
1.3%
772680000 1
 
1.3%
489316268000 1
 
1.3%
9890978000 1
 
1.3%
4167954000 1
 
1.3%
12122991238000 1
 
1.3%
3097002000 1
 
1.3%
823410000 1
 
1.3%
Other values (67) 67
87.0%
ValueCountFrequency (%)
769240000 1
1.3%
772680000 1
1.3%
773160000 1
1.3%
784560000 1
1.3%
823410000 1
1.3%
923350000 1
1.3%
928410000 1
1.3%
1032840000 1
1.3%
1067790000 1
1.3%
1178950000 1
1.3%
ValueCountFrequency (%)
22334511186000 1
1.3%
19195902297000 1
1.3%
16465048025000 1
1.3%
15921804872000 1
1.3%
15417755831000 1
1.3%
14548472098000 1
1.3%
12122991238000 1
1.3%
12052413872000 1
1.3%
11764860214000 1
1.3%
11278472732000 1
1.3%

Interactions

2023-12-11T06:45:59.138565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:59.008374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:59.206299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:45:59.075711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:46:00.294125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.699
금액(원)0.0000.6991.000
2023-12-11T06:46:00.379715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.1650.000
금액(원)0.1651.0000.309
항목구분명0.0000.3091.000

Missing values

2023-12-11T06:45:59.311806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:45:59.377418image/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)
02023물건비745345015000
12023복리후생비 등16994603000
22023세출예산액22334511186000
32023업무추진비10277354000
42023여비15464808000
52023운영비701352570000
62023직무수행경비1255680000
72022물건비658549984000
82022복리후생비 등8122619000
92022세출예산액19195902297000
회계연도항목구분명금액(원)
672014여비11983959000
682014운영비454280910000
692014직무수행경비773160000
702013물건비518120422000
712013복리후생비 등18054452000
722013세출예산액10933647855000
732013업무추진비5103588000
742013여비12453299000
752013운영비481724523000
762013직무수행경비784560000