Overview

Dataset statistics

Number of variables6
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory56.1 B

Variable types

Categorical3
Text1
Numeric1
DateTime1

Dataset

Description정부는 이미 확정된 예산에 변경을 가할 필요가 있는 경우에 추가경정예산안을 편성할 수 있습니다.
Author기획재정부
URLhttps://www.data.go.kr/data/15097070/fileData.do

Alerts

연도 has constant value ""Constant
예산확정구분 has constant value ""Constant

Reproduction

Analysis started2023-12-12 22:38:33.400914
Analysis finished2023-12-12 22:38:33.741747
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
2021
26 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2021
2nd row2021
3rd row2021
4th row2021
5th row2021

Common Values

ValueCountFrequency (%)
2021 26
100.0%

Length

2023-12-13T07:38:33.790469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:33.866365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 26
100.0%

회차
Categorical

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
1
13 
2
13 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 13
50.0%
2 13
50.0%

Length

2023-12-13T07:38:33.956128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:34.037875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 13
50.0%
2 13
50.0%

예산확정구분
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
확정
26 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
확정 26
100.0%

Length

2023-12-13T07:38:34.110266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:38:34.175198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
확정 26
100.0%

구분
Text

Distinct13
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T07:38:34.284499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length10
Mean length6.6923077
Min length2

Characters and Unicode

Total characters174
Distinct characters57
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row총지출
2nd row보건·복지·고용
3rd row교육(교부금 제외)
4th row문화·체육·관광
5th row환경
ValueCountFrequency (%)
제외 4
 
12.5%
총지출 2
 
6.2%
보건·복지·고용 2
 
6.2%
교육(교부금 2
 
6.2%
문화·체육·관광 2
 
6.2%
환경 2
 
6.2%
r&d 2
 
6.2%
산업·중소기업·에너지 2
 
6.2%
soc 2
 
6.2%
농림·수산·식품 2
 
6.2%
Other values (5) 10
31.2%
2023-12-13T07:38:34.551092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
· 22
 
12.6%
지 8
 
4.6%
교 8
 
4.6%
외 6
 
3.4%
6
 
3.4%
산 4
 
2.3%
부 4
 
2.3%
업 4
 
2.3%
방 4
 
2.3%
일 4
 
2.3%
Other values (47) 104
59.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 126
72.4%
Other Punctuation 24
 
13.8%
Uppercase Letter 10
 
5.7%
Space Separator 6
 
3.4%
Close Punctuation 4
 
2.3%
Open Punctuation 4
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 8
 
6.3%
교 8
 
6.3%
외 6
 
4.8%
산 4
 
3.2%
부 4
 
3.2%
업 4
 
3.2%
방 4
 
3.2%
일 4
 
3.2%
공 4
 
3.2%
제 4
 
3.2%
Other values (37) 76
60.3%
Uppercase Letter
ValueCountFrequency (%)
O 2
20.0%
C 2
20.0%
S 2
20.0%
R 2
20.0%
D 2
20.0%
Other Punctuation
ValueCountFrequency (%)
· 22
91.7%
& 2
 
8.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 126
72.4%
Common 38
 
21.8%
Latin 10
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 8
 
6.3%
교 8
 
6.3%
외 6
 
4.8%
산 4
 
3.2%
부 4
 
3.2%
업 4
 
3.2%
방 4
 
3.2%
일 4
 
3.2%
공 4
 
3.2%
제 4
 
3.2%
Other values (37) 76
60.3%
Common
ValueCountFrequency (%)
· 22
57.9%
6
 
15.8%
) 4
 
10.5%
( 4
 
10.5%
& 2
 
5.3%
Latin
ValueCountFrequency (%)
O 2
20.0%
C 2
20.0%
S 2
20.0%
R 2
20.0%
D 2
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 126
72.4%
ASCII 26
 
14.9%
None 22
 
12.6%

Most frequent character per block

None
ValueCountFrequency (%)
· 22
100.0%
Hangul
ValueCountFrequency (%)
지 8
 
6.3%
교 8
 
6.3%
외 6
 
4.8%
산 4
 
3.2%
부 4
 
3.2%
업 4
 
3.2%
방 4
 
3.2%
일 4
 
3.2%
공 4
 
3.2%
제 4
 
3.2%
Other values (37) 76
60.3%
ASCII
ValueCountFrequency (%)
6
23.1%
) 4
15.4%
( 4
15.4%
O 2
 
7.7%
C 2
 
7.7%
S 2
 
7.7%
R 2
 
7.7%
& 2
 
7.7%
D 2
 
7.7%

추경예산
Real number (ℝ)

Distinct23
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean90.726923
Minimum5.7
Maximum604.9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T07:38:34.650224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5.7
5-th percentile6.45
Q122.3
median27.45
Q376.2
95-th percentile482.7
Maximum604.9
Range599.2
Interquartile range (IQR)53.9

Descriptive statistics

Standard deviation156.13642
Coefficient of variation (CV)1.7209492
Kurtosis7.2841656
Mean90.726923
Median Absolute Deviation (MAD)18.7
Skewness2.7922783
Sum2358.9
Variance24378.583
MonotonicityNot monotonic
2023-12-13T07:38:34.760848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
10.7 2
 
7.7%
5.7 2
 
7.7%
22.3 2
 
7.7%
572.9 1
 
3.8%
212.1 1
 
3.8%
99.7 1
 
3.8%
52.3 1
 
3.8%
23.0 1
 
3.8%
26.6 1
 
3.8%
40.1 1
 
3.8%
Other values (13) 13
50.0%
ValueCountFrequency (%)
5.7 2
7.7%
8.7 1
3.8%
8.8 1
3.8%
10.7 2
7.7%
22.3 2
7.7%
22.9 1
3.8%
23.0 1
3.8%
26.5 1
3.8%
26.6 1
3.8%
27.4 1
3.8%
ValueCountFrequency (%)
604.9 1
3.8%
572.9 1
3.8%
212.1 1
3.8%
205.7 1
3.8%
99.7 1
3.8%
84.5 1
3.8%
77.8 1
3.8%
71.4 1
3.8%
52.8 1
3.8%
52.3 1
3.8%

데이터기준일
Date

Distinct2
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2021-03-25 00:00:00
Maximum2021-07-24 00:00:00
2023-12-13T07:38:34.861127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:38:34.934305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Interactions

2023-12-13T07:38:33.534087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:38:34.987573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회차구분추경예산데이터기준일
회차1.0000.0000.0000.992
구분0.0001.0001.0000.000
추경예산0.0001.0001.0000.000
데이터기준일0.9920.0000.0001.000
2023-12-13T07:38:35.055449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
추경예산회차
추경예산1.0000.000
회차0.0001.000

Missing values

2023-12-13T07:38:33.635672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:38:33.712076image/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

연도회차예산확정구분구분추경예산데이터기준일
020211확정총지출572.92021-03-25
120211확정보건·복지·고용205.72021-03-25
220211확정교육(교부금 제외)71.42021-03-25
320211확정문화·체육·관광8.72021-03-25
420211확정환경10.72021-03-25
520211확정R&D27.42021-03-25
620211확정산업·중소기업·에너지35.92021-03-25
720211확정SOC26.52021-03-25
820211확정농림·수산·식품22.92021-03-25
920211확정국방52.82021-03-25
연도회차예산확정구분구분추경예산데이터기준일
1620212확정문화·체육·관광8.82021-07-24
1720212확정환경10.72021-07-24
1820212확정R&D27.52021-07-24
1920212확정산업·중소기업·에너지40.12021-07-24
2020212확정SOC26.62021-07-24
2120212확정농림·수산·식품23.02021-07-24
2220212확정국방52.32021-07-24
2320212확정외교·통일5.72021-07-24
2420212확정공공질서·안전22.32021-07-24
2520212확정일반·지방행정(교부세 등 제외)99.72021-07-24