Overview

Dataset statistics

Number of variables5
Number of observations55
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory44.4 B

Variable types

Categorical3
Text1
Numeric1

Dataset

Description정부는 회계연도마다 예산안을 편성하여 회계연도 개시 90일전까지 국회에 제출하고, 국회는 회계연도 개시 30일전까지 이를 의결합니다. 이 자료는 정부예산안과 국회에서 의결된 부처별 세입예산금액(단위:백만원)을 제공합니다.
Author기획재정부
URLhttps://www.data.go.kr/data/15095849/fileData.do

Alerts

연도 has constant value ""Constant
예산확정구분 has constant value ""Constant
데이터기준일 has constant value ""Constant
부처명 has unique valuesUnique
본예산 has unique valuesUnique

Reproduction

Analysis started2023-12-12 05:02:17.907330
Analysis finished2023-12-12 05:02:18.418703
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023
55 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 55
100.0%

Length

2023-12-12T14:02:18.489100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:18.603705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 55
100.0%

예산확정구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
정부안
55 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정부안
2nd row정부안
3rd row정부안
4th row정부안
5th row정부안

Common Values

ValueCountFrequency (%)
정부안 55
100.0%

Length

2023-12-12T14:02:18.714890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:18.836415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정부안 55
100.0%

부처명
Text

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size572.0 B
2023-12-12T14:02:19.066704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length5.4727273
Min length2

Characters and Unicode

Total characters301
Distinct characters115
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)100.0%

Sample

1st row감사원
2nd row개인정보보호위원회
3rd row경찰청
4th row고용노동부
5th row공정거래위원회
ValueCountFrequency (%)
및 2
 
3.4%
감사원 1
 
1.7%
방송통신위원회 1
 
1.7%
조달청 1
 
1.7%
법무부 1
 
1.7%
병무청 1
 
1.7%
보건복지부 1
 
1.7%
산림청 1
 
1.7%
산업통상자원부 1
 
1.7%
새만금개발청 1
 
1.7%
Other values (48) 48
81.4%
2023-12-12T14:02:19.514403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
부 18
 
6.0%
청 17
 
5.6%
원 13
 
4.3%
국 11
 
3.7%
회 10
 
3.3%
통 9
 
3.0%
위 9
 
3.0%
정 8
 
2.7%
보 7
 
2.3%
처 5
 
1.7%
Other values (105) 194
64.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
98.7%
Space Separator 4
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 18
 
6.1%
청 17
 
5.7%
원 13
 
4.4%
국 11
 
3.7%
회 10
 
3.4%
통 9
 
3.0%
위 9
 
3.0%
정 8
 
2.7%
보 7
 
2.4%
처 5
 
1.7%
Other values (104) 190
64.0%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
98.7%
Common 4
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 18
 
6.1%
청 17
 
5.7%
원 13
 
4.4%
국 11
 
3.7%
회 10
 
3.4%
통 9
 
3.0%
위 9
 
3.0%
정 8
 
2.7%
보 7
 
2.4%
처 5
 
1.7%
Other values (104) 190
64.0%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
98.7%
ASCII 4
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
부 18
 
6.1%
청 17
 
5.7%
원 13
 
4.4%
국 11
 
3.7%
회 10
 
3.4%
통 9
 
3.0%
위 9
 
3.0%
정 8
 
2.7%
보 7
 
2.4%
처 5
 
1.7%
Other values (104) 190
64.0%
ASCII
ValueCountFrequency (%)
4
100.0%

본예산
Real number (ℝ)

UNIQUE 

Distinct55
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11380602
Minimum5
Maximum4.0585572 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size627.0 B
2023-12-12T14:02:19.711594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile35.4
Q14411
median68671
Q31890741
95-th percentile25063455
Maximum4.0585572 × 108
Range4.0585572 × 108
Interquartile range (IQR)1886330

Descriptive statistics

Standard deviation55622734
Coefficient of variation (CV)4.8875037
Kurtosis49.245058
Mean11380602
Median Absolute Deviation (MAD)68648
Skewness6.8936984
Sum6.2593311 × 108
Variance3.0938886 × 1015
MonotonicityNot monotonic
2023-12-12T14:02:19.916810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
639 1
 
1.8%
4926 1
 
1.8%
1414991 1
 
1.8%
300 1
 
1.8%
85103694 1
 
1.8%
420388 1
 
1.8%
6799351 1
 
1.8%
7938 1
 
1.8%
4246 1
 
1.8%
38707 1
 
1.8%
Other values (45) 45
81.8%
ValueCountFrequency (%)
5 1
1.8%
23 1
1.8%
27 1
1.8%
39 1
1.8%
67 1
1.8%
297 1
1.8%
300 1
1.8%
639 1
1.8%
823 1
1.8%
1055 1
1.8%
ValueCountFrequency (%)
405855721 1
1.8%
85103694 1
1.8%
29204188 1
1.8%
23288855 1
1.8%
19806538 1
1.8%
13048637 1
1.8%
9428954 1
1.8%
7665343 1
1.8%
6799351 1
1.8%
6462901 1
1.8%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size572.0 B
2022-09-02
55 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-02
2nd row2022-09-02
3rd row2022-09-02
4th row2022-09-02
5th row2022-09-02

Common Values

ValueCountFrequency (%)
2022-09-02 55
100.0%

Length

2023-12-12T14:02:20.128639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:02:20.235219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-02 55
100.0%

Interactions

2023-12-12T14:02:18.067411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:02:20.289347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부처명본예산
부처명1.0001.000
본예산1.0001.000

Missing values

2023-12-12T14:02:18.247682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:02:18.370897image/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

연도예산확정구분부처명본예산데이터기준일
02023정부안감사원6392022-09-02
12023정부안개인정보보호위원회49262022-09-02
22023정부안경찰청11645862022-09-02
32023정부안고용노동부292041882022-09-02
42023정부안공정거래위원회4216962022-09-02
52023정부안과학기술정보통신부94289542022-09-02
62023정부안관세청946242022-09-02
72023정부안교육부64629012022-09-02
82023정부안국가보훈처2084742022-09-02
92023정부안국가인권위원회272022-09-02
연도예산확정구분부처명본예산데이터기준일
452023정부안질병관리청404842022-09-02
462023정부안통계청44002022-09-02
472023정부안통일부405182022-09-02
482023정부안특허청6293982022-09-02
492023정부안해양경찰청53882022-09-02
502023정부안해양수산부9174492022-09-02
512023정부안행정안전부686712022-09-02
522023정부안행정중심복합도시건설청44222022-09-02
532023정부안헌법재판소392022-09-02
542023정부안환경부23664912022-09-02