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 인건비(예산) 현황
Author교육부
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=WX07ZURXUEM45XN6BRRA23895991&infSeq=2

Alerts

금액(원) has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:38:35.332593
Analysis finished2023-12-10 21:38:36.004767
Duration0.67 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct11
Distinct (%)12.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.1319
Minimum2013
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T06:38:36.073222image/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 deviation3.2118143
Coefficient of variation (CV)0.0015914789
Kurtosis-1.2488842
Mean2018.1319
Median Absolute Deviation (MAD)3
Skewness-0.051946367
Sum183650
Variance10.315751
MonotonicityDecreasing
2023-12-11T06:38:36.219152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
2023 9
9.9%
2022 9
9.9%
2021 9
9.9%
2020 8
8.8%
2019 8
8.8%
2018 8
8.8%
2017 8
8.8%
2016 8
8.8%
2015 8
8.8%
2014 8
8.8%
ValueCountFrequency (%)
2013 8
8.8%
2014 8
8.8%
2015 8
8.8%
2016 8
8.8%
2017 8
8.8%
2018 8
8.8%
2019 8
8.8%
2020 8
8.8%
2021 9
9.9%
2022 9
9.9%
ValueCountFrequency (%)
2023 9
9.9%
2022 9
9.9%
2021 9
9.9%
2020 8
8.8%
2019 8
8.8%
2018 8
8.8%
2017 8
8.8%
2016 8
8.8%
2015 8
8.8%
2014 8
8.8%

항목구분명
Categorical

Distinct9
Distinct (%)9.9%
Missing0
Missing (%)0.0%
Memory size860.0 B
교원
11 
교육전문직원
11 
그 외 기타직
11 
맞춤형복지비
11 
사립학교교직원
11 
Other values (4)
36 

Length

Max length7
Median length6
Mean length5.1538462
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교원
2nd row교육공무직원
3rd row교육전문직원
4th row그 외 기타직
5th row맞춤형복지비

Common Values

ValueCountFrequency (%)
교원 11
12.1%
교육전문직원 11
12.1%
그 외 기타직 11
12.1%
맞춤형복지비 11
12.1%
사립학교교직원 11
12.1%
세출예산액 11
12.1%
인건비 11
12.1%
지방공무원 11
12.1%
교육공무직원 3
 
3.3%

Length

2023-12-11T06:38:36.374014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:38:36.520789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교원 11
9.7%
교육전문직원 11
9.7%
그 11
9.7%
외 11
9.7%
기타직 11
9.7%
맞춤형복지비 11
9.7%
사립학교교직원 11
9.7%
세출예산액 11
9.7%
인건비 11
9.7%
지방공무원 11
9.7%

금액(원)
Real number (ℝ)

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.9857475 × 1012
Minimum2.8113745 × 1010
Maximum2.2334511 × 1013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-11T06:38:36.712296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.8113745 × 1010
5-th percentile5.2491816 × 1010
Q11.4115467 × 1011
median8.0218527 × 1011
Q37.2800618 × 1012
95-th percentile1.4983114 × 1013
Maximum2.2334511 × 1013
Range2.2306397 × 1013
Interquartile range (IQR)7.1389072 × 1012

Descriptive statistics

Standard deviation5.3374633 × 1012
Coefficient of variation (CV)1.3391373
Kurtosis1.0562578
Mean3.9857475 × 1012
Median Absolute Deviation (MAD)7.3614095 × 1011
Skewness1.3505274
Sum3.6270303 × 1014
Variance2.8488515 × 1025
MonotonicityNot monotonic
2023-12-11T06:38:36.874172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8935899083000 1
 
1.1%
685164130000 1
 
1.1%
5984203418000 1
 
1.1%
667148963000 1
 
1.1%
8084482329000 1
 
1.1%
12122991238000 1
 
1.1%
796056763000 1
 
1.1%
88199994000 1
 
1.1%
264127293000 1
 
1.1%
54270471000 1
 
1.1%
Other values (81) 81
89.0%
ValueCountFrequency (%)
28113745000 1
1.1%
29847242000 1
1.1%
45408530000 1
1.1%
47967544000 1
1.1%
52288157000 1
1.1%
52695475000 1
1.1%
54270471000 1
1.1%
54688821000 1
1.1%
56130479000 1
1.1%
57751650000 1
1.1%
ValueCountFrequency (%)
22334511186000 1
1.1%
19195902297000 1
1.1%
16465048025000 1
1.1%
15921804872000 1
1.1%
15417755831000 1
1.1%
14548472098000 1
1.1%
12626636837000 1
1.1%
12122991238000 1
1.1%
12052413872000 1
1.1%
11886922490000 1
1.1%

Interactions

2023-12-11T06:38:35.631733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:35.441389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:35.728314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:38:35.535907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:38:36.966783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도항목구분명금액(원)
회계연도1.0000.0000.000
항목구분명0.0001.0000.833
금액(원)0.0000.8331.000
2023-12-11T06:38:37.080373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계연도금액(원)항목구분명
회계연도1.0000.1910.000
금액(원)0.1911.0000.411
항목구분명0.0000.4111.000

Missing values

2023-12-11T06:38:35.868018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:38:35.966085image/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)
02023교원8935899083000
12023교육공무직원1234370602000
22023교육전문직원103590015000
32023그 외 기타직59433369000
42023맞춤형복지비184934241000
52023사립학교교직원1165242457000
62023세출예산액22334511186000
72023인건비12626636837000
82023지방공무원943167070000
92022교원8490582702000
회계연도항목구분명금액(원)
812014인건비6619949820000
822014지방공무원559912431000
832013교원5359447283000
842013교육전문직원45408530000
852013그 외 기타직28113745000
862013맞춤형복지비68574560000
872013사립학교교직원626745024000
882013세출예산액10933647855000
892013인건비6686228377000
902013지방공무원557939235000