Overview

Dataset statistics

Number of variables6
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory54.7 B

Variable types

Categorical5
Numeric1

Dataset

Description2022년 기준으로 작성된 계정간 거래 시계열 자료입니다. *수치가 기본단위보다 적거나 수치가 없을 경우 0으로 표시되어 있습니다. *본예산 기준으로 작성되었으며 기준은 년도에 따라 표시되어 있습니다.
URLhttps://www.data.go.kr/data/15062852/fileData.do

Alerts

기준 has constant value ""Constant
계정명(From) is highly overall correlated with 회계명 and 1 other fieldsHigh correlation
계정명(To) is highly overall correlated with 회계명 and 1 other fieldsHigh correlation
회계명 is highly overall correlated with 계정명(From) and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 12:36:15.536739
Analysis finished2023-12-12 12:36:16.069757
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct2
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
2021
15 
2022
13 

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 15
53.6%
2022 13
46.4%

Length

2023-12-12T21:36:16.137788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:36:16.241657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 15
53.6%
2022 13
46.4%

기준
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
본예산
28 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
본예산 28
100.0%

Length

2023-12-12T21:36:16.355786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:36:16.474580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
본예산 28
100.0%

회계명
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size356.0 B
국민건강증진기금
공공자금관리기금
교통시설특별회계
근로복지진흥기금
주택도시기금
Other values (7)
14 

Length

Max length12
Median length11.5
Mean length8.5714286
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공자금관리기금
2nd row공공자금관리기금
3rd row국민건강증진기금
4th row국민건강증진기금
5th row근로복지진흥기금

Common Values

ValueCountFrequency (%)
국민건강증진기금 4
14.3%
공공자금관리기금 3
10.7%
교통시설특별회계 3
10.7%
근로복지진흥기금 2
7.1%
주택도시기금 2
7.1%
국가균형발전특별회계 2
7.1%
농어촌구조개선특별회계 2
7.1%
에너지및자원사업특별회계 2
7.1%
우체국예금특별회계 2
7.1%
우편사업특별회계 2
7.1%
Other values (2) 4
14.3%

Length

2023-12-12T21:36:16.685206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
국민건강증진기금 4
14.3%
공공자금관리기금 3
10.7%
교통시설특별회계 3
10.7%
근로복지진흥기금 2
7.1%
주택도시기금 2
7.1%
국가균형발전특별회계 2
7.1%
농어촌구조개선특별회계 2
7.1%
에너지및자원사업특별회계 2
7.1%
우체국예금특별회계 2
7.1%
우편사업특별회계 2
7.1%
Other values (2) 4
14.3%

계정명(From)
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)35.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
손익계정
융자계정
공공보건의료계정
국민건강증진계정
중소복지계정
Other values (5)

Length

Max length10
Median length4
Mean length5.2857143
Min length4

Unique

Unique1 ?
Unique (%)3.6%

Sample

1st row융자계정
2nd row융자계정
3rd row공공보건의료계정
4th row국민건강증진계정
5th row중소복지계정

Common Values

ValueCountFrequency (%)
손익계정 8
28.6%
융자계정 5
17.9%
공공보건의료계정 2
 
7.1%
국민건강증진계정 2
 
7.1%
중소복지계정 2
 
7.1%
주택계정 2
 
7.1%
공항계정 2
 
7.1%
지역자율계정 2
 
7.1%
농어촌특별세사업계정 2
 
7.1%
도로계정 1
 
3.6%

Length

2023-12-12T21:36:16.831346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:36:16.983007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
손익계정 8
28.6%
융자계정 5
17.9%
공공보건의료계정 2
 
7.1%
국민건강증진계정 2
 
7.1%
중소복지계정 2
 
7.1%
주택계정 2
 
7.1%
공항계정 2
 
7.1%
지역자율계정 2
 
7.1%
농어촌특별세사업계정 2
 
7.1%
도로계정 1
 
3.6%

계정명(To)
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)46.4%
Missing0
Missing (%)0.0%
Memory size356.0 B
자본계정
총괄계정
국민건강증진계정
공공보건의료계정
신용보증사업계정
Other values (8)
12 

Length

Max length8
Median length4
Mean length5.2857143
Min length4

Unique

Unique4 ?
Unique (%)14.3%

Sample

1st row차관계정
2nd row총괄계정
3rd row국민건강증진계정
4th row공공보건의료계정
5th row신용보증사업계정

Common Values

ValueCountFrequency (%)
자본계정 8
28.6%
총괄계정 2
 
7.1%
국민건강증진계정 2
 
7.1%
공공보건의료계정 2
 
7.1%
신용보증사업계정 2
 
7.1%
도시계정 2
 
7.1%
지역지원계정 2
 
7.1%
구조개선사업계정 2
 
7.1%
투자계정 2
 
7.1%
차관계정 1
 
3.6%
Other values (3) 3
 
10.7%

Length

2023-12-12T21:36:17.171708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
자본계정 8
28.6%
총괄계정 2
 
7.1%
국민건강증진계정 2
 
7.1%
공공보건의료계정 2
 
7.1%
신용보증사업계정 2
 
7.1%
도시계정 2
 
7.1%
지역지원계정 2
 
7.1%
구조개선사업계정 2
 
7.1%
투자계정 2
 
7.1%
차관계정 1
 
3.6%
Other values (3) 3
 
10.7%

금액(억원)
Real number (ℝ)

Distinct27
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2686.8929
Minimum70
Maximum21113
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size384.0 B
2023-12-12T21:36:17.318191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile109.15
Q1317
median1086.5
Q32703.25
95-th percentile9609.55
Maximum21113
Range21043
Interquartile range (IQR)2386.25

Descriptive statistics

Standard deviation4481.7724
Coefficient of variation (CV)1.6680131
Kurtosis10.429755
Mean2686.8929
Median Absolute Deviation (MAD)911.5
Skewness2.9939569
Sum75233
Variance20086284
MonotonicityNot monotonic
2023-12-12T21:36:17.473150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
118 2
 
7.1%
1229 1
 
3.6%
958 1
 
3.6%
1276 1
 
3.6%
1060 1
 
3.6%
162 1
 
3.6%
1928 1
 
3.6%
21113 1
 
3.6%
5551 1
 
3.6%
543 1
 
3.6%
Other values (17) 17
60.7%
ValueCountFrequency (%)
70 1
3.6%
106 1
3.6%
115 1
3.6%
118 2
7.1%
162 1
3.6%
188 1
3.6%
360 1
3.6%
427 1
3.6%
477 1
3.6%
483 1
3.6%
ValueCountFrequency (%)
21113 1
3.6%
9927 1
3.6%
9020 1
3.6%
5907 1
3.6%
5551 1
3.6%
4756 1
3.6%
2974 1
3.6%
2613 1
3.6%
1928 1
3.6%
1330 1
3.6%

Interactions

2023-12-12T21:36:15.794797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:36:17.570837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도회계명계정명(From)계정명(To)금액(억원)
연도1.0000.0000.0000.0000.000
회계명0.0001.0000.9460.9350.514
계정명(From)0.0000.9461.0001.0000.794
계정명(To)0.0000.9351.0001.0000.529
금액(억원)0.0000.5140.7940.5291.000
2023-12-12T21:36:17.690978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
계정명(From)회계명연도계정명(To)
계정명(From)1.0000.7450.0000.913
회계명0.7451.0000.0000.691
연도0.0000.0001.0000.000
계정명(To)0.9130.6910.0001.000
2023-12-12T21:36:17.781117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
금액(억원)연도회계명계정명(From)계정명(To)
금액(억원)1.0000.0000.2320.3840.225
연도0.0001.0000.0000.0000.000
회계명0.2320.0001.0000.7450.691
계정명(From)0.3840.0000.7451.0000.913
계정명(To)0.2250.0000.6910.9131.000

Missing values

2023-12-12T21:36:15.906881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:36:16.021015image/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

연도기준회계명계정명(From)계정명(To)금액(억원)
02021본예산공공자금관리기금융자계정차관계정1229
12021본예산공공자금관리기금융자계정총괄계정118
22021본예산국민건강증진기금공공보건의료계정국민건강증진계정427
32021본예산국민건강증진기금국민건강증진계정공공보건의료계정483
42021본예산근로복지진흥기금중소복지계정신용보증사업계정106
52021본예산주택도시기금주택계정도시계정9020
62021본예산교통시설특별회계공항계정도로계정1113
72021본예산교통시설특별회계공항계정철도계정477
82021본예산국가균형발전특별회계지역자율계정지역지원계정2974
92021본예산농어촌구조개선특별회계농어촌특별세사업계정구조개선사업계정9927
연도기준회계명계정명(From)계정명(To)금액(억원)
182022본예산근로복지진흥기금중소복지계정신용보증사업계정188
192022본예산주택도시기금주택계정도시계정5907
202022본예산교통시설특별회계도로계정공항계정543
212022본예산국가균형발전특별회계지역자율계정지역지원계정5551
222022본예산농어촌구조개선특별회계농어촌특별세사업계정구조개선사업계정21113
232022본예산에너지및자원사업특별회계융자계정투자계정1928
242022본예산우체국예금특별회계손익계정자본계정162
252022본예산우편사업특별회계손익계정자본계정1060
262022본예산조달특별회계손익계정자본계정1276
272022본예산책임운영기관특별회계손익계정자본계정958