Overview

Dataset statistics

Number of variables6
Number of observations527
Missing cells3
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory24.8 KiB
Average record size in memory48.3 B

Variable types

Unsupported1
Categorical2
Text3

Dataset

Description연도별 농림축산식품분야 보조금 현황 정보를 제공합니다.
Author농림축산식품부
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20220628000000002124

Alerts

Unnamed: 1 is highly overall correlated with Unnamed: 4High correlation
Unnamed: 4 is highly overall correlated with Unnamed: 1High correlation
2020년 농림축산식품분야 보조금 현황 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:33:51.642456
Analysis finished2023-12-11 03:33:52.513251
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2020년 농림축산식품분야 보조금 현황
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.2%
Memory size4.2 KiB

Unnamed: 1
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
[213]농어촌구조개선특별회계
272 
[560]축산발전기금
106 
[511]농산물가격안정기금
55 
[587]자유무역협정이행지원기금
35 
[236]국가균형발전특별회계
 
14
Other values (7)
45 

Length

Max length22
Median length16
Mean length14.571157
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row회계
3rd row[110]일반회계
4th row[110]일반회계
5th row[110]일반회계

Common Values

ValueCountFrequency (%)
[213]농어촌구조개선특별회계 272
51.6%
[560]축산발전기금 106
 
20.1%
[511]농산물가격안정기금 55
 
10.4%
[587]자유무역협정이행지원기금 35
 
6.6%
[236]국가균형발전특별회계 14
 
2.7%
[534]농지관리기금 14
 
2.7%
[110]일반회계 11
 
2.1%
[509]농업·농촌공익기능증진직접지불기금 9
 
1.7%
[310]양곡관리특별회계 6
 
1.1%
[216]에너지및자원사업특별회계 3
 
0.6%
Other values (2) 2
 
0.4%

Length

2023-12-11T12:33:52.617054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
213]농어촌구조개선특별회계 272
51.6%
560]축산발전기금 106
 
20.1%
511]농산물가격안정기금 55
 
10.4%
587]자유무역협정이행지원기금 35
 
6.6%
236]국가균형발전특별회계 14
 
2.7%
534]농지관리기금 14
 
2.7%
110]일반회계 11
 
2.1%
509]농업·농촌공익기능증진직접지불기금 9
 
1.7%
310]양곡관리특별회계 6
 
1.1%
216]에너지및자원사업특별회계 3
 
0.6%
Other values (2) 2
 
0.4%

Unnamed: 2
Text

Distinct164
Distinct (%)31.2%
Missing1
Missing (%)0.2%
Memory size4.2 KiB
2023-12-11T12:33:52.880162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length14.579848
Min length4

Characters and Unicode

Total characters7669
Distinct characters259
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)12.7%

Sample

1st row세부사업
2nd row[300]한국농수산대학교육운영(책임운영)
3rd row[306]수리시설유지관리
4th row[300]국제농업협력(ODA)
5th row[300]국제농업협력(ODA)
ValueCountFrequency (%)
331]농업·농촌교육훈련지원 25
 
3.7%
315]말산업육성지원 21
 
3.1%
330]가축분뇨처리지원 20
 
2.9%
321]조사료생산기반확충 16
 
2.3%
350]농산물산지유통시설지원 14
 
2.1%
및 14
 
2.1%
310]전통발효식품육성 12
 
1.8%
304]과수 11
 
1.6%
생산유통지원 11
 
1.6%
310]농촌용수관리 10
 
1.5%
Other values (198) 528
77.4%
2023-12-11T12:33:53.301169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 582
 
7.6%
[ 525
 
6.8%
] 525
 
6.8%
0 318
 
4.1%
지 297
 
3.9%
농 266
 
3.5%
원 246
 
3.2%
산 204
 
2.7%
업 162
 
2.1%
1 158
 
2.1%
Other values (249) 4386
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4772
62.2%
Decimal Number 1575
 
20.5%
Open Punctuation 551
 
7.2%
Close Punctuation 551
 
7.2%
Space Separator 156
 
2.0%
Uppercase Letter 39
 
0.5%
Other Punctuation 25
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 297
 
6.2%
농 266
 
5.6%
원 246
 
5.2%
산 204
 
4.3%
업 162
 
3.4%
성 122
 
2.6%
화 120
 
2.5%
축 108
 
2.3%
물 96
 
2.0%
품 90
 
1.9%
Other values (224) 3061
64.1%
Decimal Number
ValueCountFrequency (%)
3 582
37.0%
0 318
20.2%
1 158
 
10.0%
5 123
 
7.8%
4 120
 
7.6%
2 82
 
5.2%
8 60
 
3.8%
6 58
 
3.7%
7 50
 
3.2%
9 24
 
1.5%
Uppercase Letter
ValueCountFrequency (%)
C 10
25.6%
A 7
17.9%
T 6
15.4%
I 4
 
10.3%
H 3
 
7.7%
P 3
 
7.7%
F 2
 
5.1%
D 2
 
5.1%
O 2
 
5.1%
Open Punctuation
ValueCountFrequency (%)
[ 525
95.3%
( 26
 
4.7%
Close Punctuation
ValueCountFrequency (%)
] 525
95.3%
) 26
 
4.7%
Space Separator
ValueCountFrequency (%)
156
100.0%
Other Punctuation
ValueCountFrequency (%)
· 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4772
62.2%
Common 2858
37.3%
Latin 39
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 297
 
6.2%
농 266
 
5.6%
원 246
 
5.2%
산 204
 
4.3%
업 162
 
3.4%
성 122
 
2.6%
화 120
 
2.5%
축 108
 
2.3%
물 96
 
2.0%
품 90
 
1.9%
Other values (224) 3061
64.1%
Common
ValueCountFrequency (%)
3 582
20.4%
[ 525
18.4%
] 525
18.4%
0 318
11.1%
1 158
 
5.5%
156
 
5.5%
5 123
 
4.3%
4 120
 
4.2%
2 82
 
2.9%
8 60
 
2.1%
Other values (6) 209
 
7.3%
Latin
ValueCountFrequency (%)
C 10
25.6%
A 7
17.9%
T 6
15.4%
I 4
 
10.3%
H 3
 
7.7%
P 3
 
7.7%
F 2
 
5.1%
D 2
 
5.1%
O 2
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4772
62.2%
ASCII 2872
37.4%
None 25
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 582
20.3%
[ 525
18.3%
] 525
18.3%
0 318
11.1%
1 158
 
5.5%
156
 
5.4%
5 123
 
4.3%
4 120
 
4.2%
2 82
 
2.9%
8 60
 
2.1%
Other values (14) 223
 
7.8%
Hangul
ValueCountFrequency (%)
지 297
 
6.2%
농 266
 
5.6%
원 246
 
5.2%
산 204
 
4.3%
업 162
 
3.4%
성 122
 
2.6%
화 120
 
2.5%
축 108
 
2.3%
물 96
 
2.0%
품 90
 
1.9%
Other values (224) 3061
64.1%
None
ValueCountFrequency (%)
· 25
100.0%

Unnamed: 3
Text

Distinct520
Distinct (%)98.9%
Missing1
Missing (%)0.2%
Memory size4.2 KiB
2023-12-11T12:33:53.630818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length24
Mean length13.043726
Min length4

Characters and Unicode

Total characters6861
Distinct characters362
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique514 ?
Unique (%)97.7%

Sample

1st row내역사업
2nd row한국농수산대학 졸업생 영농영어정착 우수과제사업 공모지원
3rd row수리시설유지관리
4th row개도국 농업발전 기획협력사업
5th row개도국 식량안보정보시스템 구축 사업
ValueCountFrequency (%)
지원 131
 
10.7%
및 31
 
2.5%
운영 15
 
1.2%
교육 11
 
0.9%
홍보 11
 
0.9%
등 9
 
0.7%
조성 9
 
0.7%
구축 8
 
0.7%
스마트팜 8
 
0.7%
농식품 8
 
0.7%
Other values (783) 986
80.4%
2023-12-11T12:33:54.131205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
706
 
10.3%
지 342
 
5.0%
원 276
 
4.0%
농 205
 
3.0%
업 165
 
2.4%
산 137
 
2.0%
( 109
 
1.6%
) 109
 
1.6%
사 105
 
1.5%
비 99
 
1.4%
Other values (352) 4608
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5807
84.6%
Space Separator 706
 
10.3%
Open Punctuation 109
 
1.6%
Close Punctuation 109
 
1.6%
Uppercase Letter 105
 
1.5%
Other Punctuation 20
 
0.3%
Dash Punctuation 4
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 342
 
5.9%
원 276
 
4.8%
농 205
 
3.5%
업 165
 
2.8%
산 137
 
2.4%
사 105
 
1.8%
비 99
 
1.7%
성 92
 
1.6%
조 87
 
1.5%
시 87
 
1.5%
Other values (327) 4212
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 22
21.0%
A 17
16.2%
T 17
16.2%
P 14
13.3%
I 11
10.5%
G 7
 
6.7%
F 6
 
5.7%
H 3
 
2.9%
O 1
 
1.0%
L 1
 
1.0%
Other values (6) 6
 
5.7%
Other Punctuation
ValueCountFrequency (%)
· 11
55.0%
, 7
35.0%
& 1
 
5.0%
․ 1
 
5.0%
Space Separator
ValueCountFrequency (%)
706
100.0%
Open Punctuation
ValueCountFrequency (%)
( 109
100.0%
Close Punctuation
ValueCountFrequency (%)
) 109
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
∙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5807
84.6%
Common 949
 
13.8%
Latin 105
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 342
 
5.9%
원 276
 
4.8%
농 205
 
3.5%
업 165
 
2.8%
산 137
 
2.4%
사 105
 
1.8%
비 99
 
1.7%
성 92
 
1.6%
조 87
 
1.5%
시 87
 
1.5%
Other values (327) 4212
72.5%
Latin
ValueCountFrequency (%)
C 22
21.0%
A 17
16.2%
T 17
16.2%
P 14
13.3%
I 11
10.5%
G 7
 
6.7%
F 6
 
5.7%
H 3
 
2.9%
O 1
 
1.0%
L 1
 
1.0%
Other values (6) 6
 
5.7%
Common
ValueCountFrequency (%)
706
74.4%
( 109
 
11.5%
) 109
 
11.5%
· 11
 
1.2%
, 7
 
0.7%
- 4
 
0.4%
∙ 1
 
0.1%
& 1
 
0.1%
․ 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5807
84.6%
ASCII 1041
 
15.2%
None 11
 
0.2%
Math Operators 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
706
67.8%
( 109
 
10.5%
) 109
 
10.5%
C 22
 
2.1%
A 17
 
1.6%
T 17
 
1.6%
P 14
 
1.3%
I 11
 
1.1%
G 7
 
0.7%
, 7
 
0.7%
Other values (12) 22
 
2.1%
Hangul
ValueCountFrequency (%)
지 342
 
5.9%
원 276
 
4.8%
농 205
 
3.5%
업 165
 
2.8%
산 137
 
2.4%
사 105
 
1.8%
비 99
 
1.7%
성 92
 
1.6%
조 87
 
1.5%
시 87
 
1.5%
Other values (327) 4212
72.5%
None
ValueCountFrequency (%)
· 11
100.0%
Math Operators
ValueCountFrequency (%)
∙ 1
100.0%
Punctuation
ValueCountFrequency (%)
․ 1
100.0%

Unnamed: 4
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
[320-01]민간경상보조
273 
[330-03]자치단체자본보조
120 
[330-01]자치단체경상보조
105 
[320-07]민간자본보조
 
27
<NA>
 
1

Length

Max length16
Median length14
Mean length14.815939
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row<NA>
2nd row지출세목
3rd row[320-01]민간경상보조
4th row[320-01]민간경상보조
5th row[320-01]민간경상보조

Common Values

ValueCountFrequency (%)
[320-01]민간경상보조 273
51.8%
[330-03]자치단체자본보조 120
22.8%
[330-01]자치단체경상보조 105
 
19.9%
[320-07]민간자본보조 27
 
5.1%
<NA> 1
 
0.2%
지출세목 1
 
0.2%

Length

2023-12-11T12:33:54.299697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:33:54.422644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
320-01]민간경상보조 273
51.8%
330-03]자치단체자본보조 120
22.8%
330-01]자치단체경상보조 105
 
19.9%
320-07]민간자본보조 27
 
5.1%
na 1
 
0.2%
지출세목 1
 
0.2%

Unnamed: 5
Text

Distinct412
Distinct (%)78.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-11T12:33:54.708749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length12.235294
Min length8

Characters and Unicode

Total characters6448
Distinct characters26
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique373 ?
Unique (%)70.8%

Sample

1st row(단위 : 원)
2nd row당해연도 사업비
3rd row150,000,000
4th row150,000,000,000
5th row17,514,000,000
ValueCountFrequency (%)
500,000,000 15
 
2.8%
1,000,000,000 11
 
2.1%
200,000,000 10
 
1.9%
300,000,000 9
 
1.7%
100,000,000 8
 
1.5%
400,000,000 7
 
1.3%
350,000,000 6
 
1.1%
250,000,000 6
 
1.1%
1,200,000,000 5
 
0.9%
600,000,000 4
 
0.8%
Other values (405) 449
84.7%
2023-12-11T12:33:55.173698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3526
54.7%
, 1347
 
20.9%
1 254
 
3.9%
2 238
 
3.7%
5 217
 
3.4%
4 168
 
2.6%
3 161
 
2.5%
6 145
 
2.2%
8 139
 
2.2%
7 130
 
2.0%
Other values (16) 123
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5085
78.9%
Other Punctuation 1348
 
20.9%
Other Letter 10
 
0.2%
Space Separator 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Control 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3526
69.3%
1 254
 
5.0%
2 238
 
4.7%
5 217
 
4.3%
4 168
 
3.3%
3 161
 
3.2%
6 145
 
2.9%
8 139
 
2.7%
7 130
 
2.6%
9 107
 
2.1%
Other Letter
ValueCountFrequency (%)
원 1
10.0%
비 1
10.0%
위 1
10.0%
단 1
10.0%
연 1
10.0%
업 1
10.0%
사 1
10.0%
도 1
10.0%
해 1
10.0%
당 1
10.0%
Other Punctuation
ValueCountFrequency (%)
, 1347
99.9%
: 1
 
0.1%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6438
99.8%
Hangul 10
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3526
54.8%
, 1347
 
20.9%
1 254
 
3.9%
2 238
 
3.7%
5 217
 
3.4%
4 168
 
2.6%
3 161
 
2.5%
6 145
 
2.3%
8 139
 
2.2%
7 130
 
2.0%
Other values (6) 113
 
1.8%
Hangul
ValueCountFrequency (%)
원 1
10.0%
비 1
10.0%
위 1
10.0%
단 1
10.0%
연 1
10.0%
업 1
10.0%
사 1
10.0%
도 1
10.0%
해 1
10.0%
당 1
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6438
99.8%
Hangul 10
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3526
54.8%
, 1347
 
20.9%
1 254
 
3.9%
2 238
 
3.7%
5 217
 
3.4%
4 168
 
2.6%
3 161
 
2.5%
6 145
 
2.3%
8 139
 
2.2%
7 130
 
2.0%
Other values (6) 113
 
1.8%
Hangul
ValueCountFrequency (%)
원 1
10.0%
비 1
10.0%
위 1
10.0%
단 1
10.0%
연 1
10.0%
업 1
10.0%
사 1
10.0%
도 1
10.0%
해 1
10.0%
당 1
10.0%

Correlations

2023-12-11T12:33:55.288381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 4
Unnamed: 11.0000.746
Unnamed: 40.7461.000
2023-12-11T12:33:55.377352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 1
Unnamed: 41.0000.530
Unnamed: 10.5301.000
2023-12-11T12:33:55.467201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 1Unnamed: 4
Unnamed: 11.0000.530
Unnamed: 40.5301.000

Missing values

2023-12-11T12:33:52.146179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T12:33:52.266830image/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.
2023-12-11T12:33:52.416455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

2020년 농림축산식품분야 보조금 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
0NaN<NA><NA><NA><NA>(단위 : 원)
1순번회계세부사업내역사업지출세목당해연도 사업비
21[110]일반회계[300]한국농수산대학교육운영(책임운영)한국농수산대학 졸업생 영농영어정착 우수과제사업 공모지원[320-01]민간경상보조150,000,000
32[110]일반회계[306]수리시설유지관리수리시설유지관리[320-01]민간경상보조150,000,000,000
43[110]일반회계[300]국제농업협력(ODA)개도국 농업발전 기획협력사업[320-01]민간경상보조17,514,000,000
54[110]일반회계[300]국제농업협력(ODA)개도국 식량안보정보시스템 구축 사업[320-01]민간경상보조650,000,000
65[110]일반회계[301]농업협상대응국제통상지원사업[320-01]민간경상보조541,000,000
76[110]일반회계[301]농업협상대응FTA해외정보조사사업[320-01]민간경상보조114,000,000
87[110]일반회계[301]농업협상대응FTA정보조사 시스템구축[320-01]민간경상보조738,000,000
98[110]일반회계[530]국제기구분담금FAO한국협회 지원사업[320-01]민간경상보조677,000,000
2020년 농림축산식품분야 보조금 현황Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5
517516[587]자유무역협정이행지원기금[304]과수 생산유통지원과수ICT 컨설팅 지원[320-01]민간경상보조50,000,000
518517[587]자유무역협정이행지원기금[304]과수 생산유통지원과수ICT분야 시설보조[330-03]자치단체자본보조210,250,000
519518[587]자유무역협정이행지원기금[304]과수 생산유통지원과수분야 전국공동브랜드육성 지원[320-01]민간경상보조665,000,000
520519[587]자유무역협정이행지원기금[304]과수 생산유통지원과실지역공동브랜드육성 지원[330-01]자치단체경상보조450,000,000
521520[587]자유무역협정이행지원기금[304]과수 생산유통지원과수생산시설현대화 지원[330-03]자치단체자본보조28,885,000,000
522521[587]자유무역협정이행지원기금[304]과수 생산유통지원과수거점산지유통센터 건립 지원[330-03]자치단체자본보조4,236,750,000
523522[587]자유무역협정이행지원기금[304]과수 생산유통지원유통시설현대화[330-03]자치단체자본보조139,000,000
524523[587]자유무역협정이행지원기금[304]과수 생산유통지원과수우량묘목 운영 지원[320-01]민간경상보조300,000,000
525524[587]자유무역협정이행지원기금[370]스마트팜 ICT융복합확산스마트팜 ICT융복합확산[330-03]자치단체자본보조4,102,687,000
526525[587]자유무역협정이행지원기금[370]스마트팜 ICT융복합확산스마트팜 ICT융복합확산(컨설팅)[320-01]민간경상보조500,000,000