Overview

Dataset statistics

Number of variables4
Number of observations22
Missing cells21
Missing cells (%)23.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory836.0 B
Average record size in memory38.0 B

Variable types

Text4

Dataset

Description인천광역시 서구 농정분야 지원사업에 관한 데이터입니다. 농정일정, 추진시기, 주요내용 등의 항목을 제공합니다.서곶지역 : 경제에너지과 농수산팀(032-560-4450)검단지역 : 검단출장소 산업팀(032-560-3225)(농지 소재지가 서구가 아닌 경우는 농지소재지 구청, 읍·면에 문의. 사업대상·시기 및 보조지원단가 등은 사업부서 문의)
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15118817&srcSe=7661IVAWM27C61E190

Alerts

비고 has constant value ""Constant
주요내용 has 1 (4.5%) missing valuesMissing
비고 has 20 (90.9%) missing valuesMissing
농정일정 has unique valuesUnique

Reproduction

Analysis started2024-03-18 03:39:55.110203
Analysis finished2024-03-18 03:39:56.698984
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

농정일정
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T12:39:56.803167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length12.227273
Min length7

Characters and Unicode

Total characters269
Distinct characters95
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row농정심의회(사업대상자 선정)
2nd row공익직불제 신청
3rd row못자리 인공상토 신청
4th row농수로 정비사업 신청
5th row콩보급종 신청
ValueCountFrequency (%)
신청 13
20.0%
보조 5
 
7.7%
다음해 5
 
7.7%
직불제 3
 
4.6%
벼병해충 2
 
3.1%
보급종 2
 
3.1%
공공비축미곡 2
 
3.1%
공급 2
 
3.1%
방제농약 2
 
3.1%
집행 1
 
1.5%
Other values (28) 28
43.1%
2024-03-18T12:39:57.076026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
43
 
16.0%
청 13
 
4.8%
신 13
 
4.8%
보 10
 
3.7%
해 9
 
3.3%
공 8
 
3.0%
조 7
 
2.6%
급 7
 
2.6%
제 7
 
2.6%
농 6
 
2.2%
Other values (85) 146
54.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 213
79.2%
Space Separator 43
 
16.0%
Close Punctuation 4
 
1.5%
Open Punctuation 4
 
1.5%
Other Punctuation 3
 
1.1%
Decimal Number 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 13
 
6.1%
신 13
 
6.1%
보 10
 
4.7%
해 9
 
4.2%
공 8
 
3.8%
조 7
 
3.3%
급 7
 
3.3%
제 7
 
3.3%
농 6
 
2.8%
비 6
 
2.8%
Other values (78) 127
59.6%
Other Punctuation
ValueCountFrequency (%)
/ 2
66.7%
, 1
33.3%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 213
79.2%
Common 56
 
20.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 13
 
6.1%
신 13
 
6.1%
보 10
 
4.7%
해 9
 
4.2%
공 8
 
3.8%
조 7
 
3.3%
급 7
 
3.3%
제 7
 
3.3%
농 6
 
2.8%
비 6
 
2.8%
Other values (78) 127
59.6%
Common
ValueCountFrequency (%)
43
76.8%
) 4
 
7.1%
( 4
 
7.1%
/ 2
 
3.6%
, 1
 
1.8%
2 1
 
1.8%
1 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 213
79.2%
ASCII 56
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
43
76.8%
) 4
 
7.1%
( 4
 
7.1%
/ 2
 
3.6%
, 1
 
1.8%
2 1
 
1.8%
1 1
 
1.8%
Hangul
ValueCountFrequency (%)
청 13
 
6.1%
신 13
 
6.1%
보 10
 
4.7%
해 9
 
4.2%
공 8
 
3.8%
조 7
 
3.3%
급 7
 
3.3%
제 7
 
3.3%
농 6
 
2.8%
비 6
 
2.8%
Other values (78) 127
59.6%

추진시기
Text

Distinct12
Distinct (%)54.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-18T12:39:57.203696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3636364
Min length3

Characters and Unicode

Total characters74
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)36.4%

Sample

1st row2월말
2nd row2월~4월
3rd row2월중
4th row2월초
5th row2월중
ValueCountFrequency (%)
7월중 7
31.8%
11월중 3
13.6%
2월중 2
 
9.1%
12월중 2
 
9.1%
2월말 1
 
4.5%
2월~4월 1
 
4.5%
2월초 1
 
4.5%
4월중 1
 
4.5%
5월중 1
 
4.5%
5월말 1
 
4.5%
Other values (2) 2
 
9.1%
2024-03-18T12:39:57.481063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
월 23
31.1%
중 18
24.3%
1 9
 
12.2%
7 7
 
9.5%
2 7
 
9.5%
말 2
 
2.7%
4 2
 
2.7%
5 2
 
2.7%
~ 1
 
1.4%
초 1
 
1.4%
Other values (2) 2
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
59.5%
Decimal Number 29
39.2%
Math Symbol 1
 
1.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 9
31.0%
7 7
24.1%
2 7
24.1%
4 2
 
6.9%
5 2
 
6.9%
9 1
 
3.4%
0 1
 
3.4%
Other Letter
ValueCountFrequency (%)
월 23
52.3%
중 18
40.9%
말 2
 
4.5%
초 1
 
2.3%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44
59.5%
Common 30
40.5%

Most frequent character per script

Common
ValueCountFrequency (%)
1 9
30.0%
7 7
23.3%
2 7
23.3%
4 2
 
6.7%
5 2
 
6.7%
~ 1
 
3.3%
9 1
 
3.3%
0 1
 
3.3%
Hangul
ValueCountFrequency (%)
월 23
52.3%
중 18
40.9%
말 2
 
4.5%
초 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44
59.5%
ASCII 30
40.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
월 23
52.3%
중 18
40.9%
말 2
 
4.5%
초 1
 
2.3%
ASCII
ValueCountFrequency (%)
1 9
30.0%
7 7
23.3%
2 7
23.3%
4 2
 
6.7%
5 2
 
6.7%
~ 1
 
3.3%
9 1
 
3.3%
0 1
 
3.3%

주요내용
Text

MISSING 

Distinct21
Distinct (%)100.0%
Missing1
Missing (%)4.5%
Memory size308.0 B
2024-03-18T12:39:57.679822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length13.238095
Min length7

Characters and Unicode

Total characters278
Distinct characters103
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique21 ?
Unique (%)100.0%

Sample

1st row금년 보조사업대상자 선정
2nd row쌀밭직불제 신청
3rd row못자리 인공상토 신청
4th row서인천관내 사설농수로 정비지원
5th row콩보급종 신청
ValueCountFrequency (%)
신청 4
 
6.0%
직불제 3
 
4.5%
농약지원 2
 
3.0%
지원신청 2
 
3.0%
돌발해충 2
 
3.0%
및 2
 
3.0%
공공비축미곡 2
 
3.0%
선정 2
 
3.0%
기타 1
 
1.5%
새로운 1
 
1.5%
Other values (46) 46
68.7%
2024-03-18T12:39:57.992374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
46
 
16.5%
지 11
 
4.0%
농 9
 
3.2%
보 8
 
2.9%
청 7
 
2.5%
급 7
 
2.5%
신 7
 
2.5%
제 7
 
2.5%
원 5
 
1.8%
사 5
 
1.8%
Other values (93) 166
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 217
78.1%
Space Separator 46
 
16.5%
Other Punctuation 5
 
1.8%
Decimal Number 4
 
1.4%
Open Punctuation 3
 
1.1%
Close Punctuation 3
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 11
 
5.1%
농 9
 
4.1%
보 8
 
3.7%
청 7
 
3.2%
급 7
 
3.2%
신 7
 
3.2%
제 7
 
3.2%
원 5
 
2.3%
사 5
 
2.3%
공 5
 
2.3%
Other values (84) 146
67.3%
Decimal Number
ValueCountFrequency (%)
4 1
25.0%
1 1
25.0%
2 1
25.0%
3 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 217
78.1%
Common 61
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 11
 
5.1%
농 9
 
4.1%
보 8
 
3.7%
청 7
 
3.2%
급 7
 
3.2%
신 7
 
3.2%
제 7
 
3.2%
원 5
 
2.3%
사 5
 
2.3%
공 5
 
2.3%
Other values (84) 146
67.3%
Common
ValueCountFrequency (%)
46
75.4%
. 4
 
6.6%
( 3
 
4.9%
) 3
 
4.9%
/ 1
 
1.6%
4 1
 
1.6%
1 1
 
1.6%
2 1
 
1.6%
3 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 217
78.1%
ASCII 61
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
46
75.4%
. 4
 
6.6%
( 3
 
4.9%
) 3
 
4.9%
/ 1
 
1.6%
4 1
 
1.6%
1 1
 
1.6%
2 1
 
1.6%
3 1
 
1.6%
Hangul
ValueCountFrequency (%)
지 11
 
5.1%
농 9
 
4.1%
보 8
 
3.7%
청 7
 
3.2%
급 7
 
3.2%
신 7
 
3.2%
제 7
 
3.2%
원 5
 
2.3%
사 5
 
2.3%
공 5
 
2.3%
Other values (84) 146
67.3%

비고
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing20
Missing (%)90.9%
Memory size308.0 B
2024-03-18T12:39:58.136773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters8
Distinct characters4
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
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 row신청불요
2nd row신청불요
ValueCountFrequency (%)
신청불요 2
100.0%
2024-03-18T12:39:58.406808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
신 2
25.0%
청 2
25.0%
불 2
25.0%
요 2
25.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
신 2
25.0%
청 2
25.0%
불 2
25.0%
요 2
25.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
신 2
25.0%
청 2
25.0%
불 2
25.0%
요 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
신 2
25.0%
청 2
25.0%
불 2
25.0%
요 2
25.0%

Correlations

2024-03-18T12:39:58.484531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
농정일정추진시기주요내용
농정일정1.0001.0001.000
추진시기1.0001.0001.000
주요내용1.0001.0001.000

Missing values

2024-03-18T12:39:56.434341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:39:56.575966image/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.
2024-03-18T12:39:56.659068image/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

농정일정추진시기주요내용비고
0농정심의회(사업대상자 선정)2월말금년 보조사업대상자 선정<NA>
1공익직불제 신청2월~4월쌀밭직불제 신청<NA>
2못자리 인공상토 신청2월중못자리 인공상토 신청<NA>
3농수로 정비사업 신청2월초서인천관내 사설농수로 정비지원<NA>
4콩보급종 신청2월중콩보급종 신청<NA>
51차 벼병해충 방제농약 공급4월중모판용 농약 및 돌발해충 농약지원신청불요
6직불제 등록증 발급5월중직불제 등록증 발급<NA>
7직불제 실경작심사5월말직불제 실경작 심사<NA>
8다음해 비닐하우스 보조 신청7월중1. 농업경영제 등록된 농지<NA>
9다음해 저온저장고 보조 신청7월중2. 관내에 주소를 두고 관내 농지우선 선정<NA>
농정일정추진시기주요내용비고
12다음해 생분해멀칭 보조 신청7월중<NA><NA>
13맥류 보급종 신청7월중맥류보급종신청<NA>
142차 벼병해충 방제농약 공급7월중벼병해충 및 돌발해충 농약지원신청불요
15공공비축미곡 의향조사9월중공공비축미곡 수요조사<NA>
16직불제 보조금 집행10월중직불제 보조금 지급<NA>
17유기질비료(퇴비) 신청11월중유기질비료 지원신청<NA>
18토양개량제(석회,규산) 신청11월중토양개량제 지원신청<NA>
19공공비축미곡 매입(수매)11월중공공비축미곡 매입(추곡수매)<NA>
20벼/감자 보급종 신청12월중벼보급종 / 감자 보급종 신청<NA>
21재해/농업인 보험료 지급12월중재해보험금 지급(농협)<NA>