Overview

Dataset statistics

Number of variables4
Number of observations72
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory36.8 B

Variable types

Numeric3
Text1

Dataset

Description중장기개방계획에따른 경상남도 지방보조금 보조사업정보 데이터입니다. 보조사업예산비목정보에 대한 정보를 담고 있습니다(대분류코드, 대분류명, 중분류코드)
Author경상남도
URLhttps://www.data.go.kr/data/15067015/fileData.do

Alerts

연번 is highly overall correlated with 대분류코드 and 1 other fieldsHigh correlation
대분류코드 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
중분류코드 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
대분류명 has unique valuesUnique
대분류코드 has unique valuesUnique
중분류코드 has unique valuesUnique
대분류코드 has 1 (1.4%) zerosZeros
중분류코드 has 1 (1.4%) zerosZeros

Reproduction

Analysis started2023-12-12 12:03:05.980270
Analysis finished2023-12-12 12:03:07.250306
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.5
Minimum1
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T21:03:07.329591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q118.75
median36.5
Q354.25
95-th percentile68.45
Maximum72
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.57338218
Kurtosis-1.2
Mean36.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2628
Variance438
MonotonicityStrictly increasing
2023-12-12T21:03:07.507821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
38 1
 
1.4%
54 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
72 1
1.4%
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%

대분류명
Text

UNIQUE 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size708.0 B
2023-12-12T21:03:07.835301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length4.7361111
Min length2

Characters and Unicode

Total characters341
Distinct characters113
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

Unique72 ?
Unique (%)100.0%

Sample

1st row강사료
2nd row공공요금
3rd row공연작품비
4th row과년도지출
5th row관리비
ValueCountFrequency (%)
강사료 1
 
1.4%
의료생활비 1
 
1.4%
재료비 1
 
1.4%
장의비 1
 
1.4%
잡지출 1
 
1.4%
작업재활비 1
 
1.4%
자원봉사관리비 1
 
1.4%
정책연구비 1
 
1.4%
자산취득비 1
 
1.4%
일용잡급 1
 
1.4%
Other values (64) 64
86.5%
2023-12-12T21:03:08.388436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
비 54
 
15.8%
료 14
 
4.1%
수 10
 
2.9%
금 8
 
2.3%
사 8
 
2.3%
기 7
 
2.1%
행 6
 
1.8%
의 6
 
1.8%
교 5
 
1.5%
영 5
 
1.5%
Other values (103) 218
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 339
99.4%
Space Separator 2
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
비 54
 
15.9%
료 14
 
4.1%
수 10
 
2.9%
금 8
 
2.4%
사 8
 
2.4%
기 7
 
2.1%
행 6
 
1.8%
의 6
 
1.8%
교 5
 
1.5%
영 5
 
1.5%
Other values (102) 216
63.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 339
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
비 54
 
15.9%
료 14
 
4.1%
수 10
 
2.9%
금 8
 
2.4%
사 8
 
2.4%
기 7
 
2.1%
행 6
 
1.8%
의 6
 
1.8%
교 5
 
1.5%
영 5
 
1.5%
Other values (102) 216
63.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 339
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
비 54
 
15.9%
료 14
 
4.1%
수 10
 
2.9%
금 8
 
2.4%
사 8
 
2.4%
기 7
 
2.1%
행 6
 
1.8%
의 6
 
1.8%
교 5
 
1.5%
영 5
 
1.5%
Other values (102) 216
63.7%
ASCII
ValueCountFrequency (%)
2
100.0%

대분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum0
Maximum71
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T21:03:08.589662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q117.75
median35.5
Q353.25
95-th percentile67.45
Maximum71
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.58953379
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance438
MonotonicityStrictly increasing
2023-12-12T21:03:09.116188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
1.4%
37 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
0 1
1.4%
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

중분류코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE  ZEROS 

Distinct72
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.5
Minimum0
Maximum71
Zeros1
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size780.0 B
2023-12-12T21:03:09.322367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3.55
Q117.75
median35.5
Q353.25
95-th percentile67.45
Maximum71
Range71
Interquartile range (IQR)35.5

Descriptive statistics

Standard deviation20.92845
Coefficient of variation (CV)0.58953379
Kurtosis-1.2
Mean35.5
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance438
MonotonicityStrictly increasing
2023-12-12T21:03:09.511399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1
 
1.4%
37 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (62) 62
86.1%
ValueCountFrequency (%)
0 1
1.4%
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

Interactions

2023-12-12T21:03:06.744920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.131675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.430904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.879071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.214797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.555779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.972092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.334503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:03:06.640619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:03:09.651172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류명대분류코드중분류코드
연번1.0001.0001.0001.000
대분류명1.0001.0001.0001.000
대분류코드1.0001.0001.0001.000
중분류코드1.0001.0001.0001.000
2023-12-12T21:03:09.780771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류코드중분류코드
연번1.0001.0001.000
대분류코드1.0001.0001.000
중분류코드1.0001.0001.000

Missing values

2023-12-12T21:03:07.087157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:03:07.204744image/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

연번대분류명대분류코드중분류코드
01강사료00
12공공요금11
23공연작품비22
34과년도지출33
45관리비44
56교재교구비55
67급간식비66
78급여77
89기관운영비88
910기능보장비99
연번대분류명대분류코드중분류코드
6263퇴직금및퇴직적립금6262
6364특수무대제작6363
6465평가회의비6464
6566프로그램진행비6565
6667피복비6666
6768행사비6767
6869행사운영비6868
6970현장학습비6969
7071홍보비7070
7172회의비7171