Overview

Dataset statistics

Number of variables60
Number of observations274
Missing cells80
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory137.9 KiB
Average record size in memory515.5 B

Variable types

Categorical35
Boolean6
Numeric14
DateTime4
Text1

Dataset

Description전라북도 임실군의 농업관련 보조사업 및 보조사업자 현황 데이터 입니다. 데이터 세부내역에는 예산비목정보, 보조사업명, 보조율, 보조사업자정보, 보조금교부결정정보, 보조금집행정보 등을 포함하여 제공하고 있습니다.
Author전라북도 임실군
URLhttps://www.data.go.kr/data/15090015/fileData.do

Alerts

회계연도 has constant value ""Constant
재배정여부 has constant value ""Constant
입금정보(자부담) has constant value ""Constant
입금정보(융자) has constant value ""Constant
집행정보(계) has constant value ""Constant
집행정보(보조금) has constant value ""Constant
집행정보(자부담) has constant value ""Constant
집행정보(융자) has constant value ""Constant
집행잔액(자부담) has constant value ""Constant
집행잔액(융자) has constant value ""Constant
이자발생액(계) has constant value ""Constant
이자발생액(보조금) has constant value ""Constant
이자발생액(자부담) has constant value ""Constant
이자발생액(융자) has constant value ""Constant
정산상태 has constant value ""Constant
이월여부 has constant value ""Constant
반납액 has constant value ""Constant
환수액 has constant value ""Constant
마감여부 has constant value ""Constant
재산건수 has constant value ""Constant
자료입력 has constant value ""Constant
신청정보(신청차수) is highly imbalanced (84.8%)Imbalance
신청정보(융자) is highly imbalanced (96.5%)Imbalance
교부결정정보(융자) is highly imbalanced (96.5%)Imbalance
보조사업자정보(생년월일) has 80 (29.2%) missing valuesMissing
신청정보(자부담) has 67 (24.5%) zerosZeros
교부결정정보(자부담) has 67 (24.5%) zerosZeros
지급정보(보조금) has 201 (73.4%) zerosZeros
입금정보(계) has 203 (74.1%) zerosZeros
입금정보(보조금) has 203 (74.1%) zerosZeros
집행잔액(계) has 203 (74.1%) zerosZeros
집행잔액(보조금) has 203 (74.1%) zerosZeros

Reproduction

Analysis started2023-12-12 12:05:05.888422
Analysis finished2023-12-12 12:05:06.786252
Duration0.9 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2021
274 

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 274
100.0%

Length

2023-12-12T21:05:07.214525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:07.362830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2021 274
100.0%

부서명
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
농업축산과
136 
주민복지과
77 
농촌활력과
59 
건설과
 
2

Length

Max length5
Median length5
Mean length4.9854015
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설과
2nd row건설과
3rd row농업축산과
4th row농업축산과
5th row농업축산과

Common Values

ValueCountFrequency (%)
농업축산과 136
49.6%
주민복지과 77
28.1%
농촌활력과 59
21.5%
건설과 2
 
0.7%

Length

2023-12-12T21:05:07.507951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:07.683128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업축산과 136
49.6%
주민복지과 77
28.1%
농촌활력과 59
21.5%
건설과 2
 
0.7%

정책사업
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
축산업발전 핵심동력 강화
100 
노후생활지원강화
77 
농업 농촌 활력 증진
59 
농업 농촌 활력화 사업
36 
살기좋은 도시공동체 조성
 
2

Length

Max length13
Median length12
Mean length11.032847
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row살기좋은 도시공동체 조성
2nd row살기좋은 도시공동체 조성
3rd row농업 농촌 활력화 사업
4th row농업 농촌 활력화 사업
5th row농업 농촌 활력화 사업

Common Values

ValueCountFrequency (%)
축산업발전 핵심동력 강화 100
36.5%
노후생활지원강화 77
28.1%
농업 농촌 활력 증진 59
21.5%
농업 농촌 활력화 사업 36
 
13.1%
살기좋은 도시공동체 조성 2
 
0.7%

Length

2023-12-12T21:05:07.855207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:08.024400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산업발전 100
13.1%
핵심동력 100
13.1%
강화 100
13.1%
농업 95
12.5%
농촌 95
12.5%
노후생활지원강화 77
10.1%
활력 59
7.7%
증진 59
7.7%
활력화 36
 
4.7%
사업 36
 
4.7%
Other values (3) 6
 
0.8%

단위사업
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
축산경영 기반조성
100 
노인복지공동체 실현
77 
살고싶은 희망마을 조성
59 
친환경 농수산 생산기반 구축
36 
도시기반시설 확충
 
2

Length

Max length15
Median length12
Mean length10.715328
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row도시기반시설 확충
2nd row도시기반시설 확충
3rd row친환경 농수산 생산기반 구축
4th row친환경 농수산 생산기반 구축
5th row친환경 농수산 생산기반 구축

Common Values

ValueCountFrequency (%)
축산경영 기반조성 100
36.5%
노인복지공동체 실현 77
28.1%
살고싶은 희망마을 조성 59
21.5%
친환경 농수산 생산기반 구축 36
 
13.1%
도시기반시설 확충 2
 
0.7%

Length

2023-12-12T21:05:08.176486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:08.317765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
축산경영 100
14.7%
기반조성 100
14.7%
노인복지공동체 77
11.3%
실현 77
11.3%
살고싶은 59
8.7%
희망마을 59
8.7%
조성 59
8.7%
친환경 36
 
5.3%
농수산 36
 
5.3%
생산기반 36
 
5.3%
Other values (3) 40
 
5.9%

세부사업
Categorical

Distinct10
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
경로당(마을회관) 기능보강사업
77 
귀농귀촌 정착지원 사업
59 
고품질 원유생산 기반구축
54 
친환경농산물 생산 지원
36 
흑염소 사육여건 개선
22 
Other values (5)
26 

Length

Max length19
Median length16
Mean length13.240876
Min length10

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row전북형 햇살가득 농촌재생사업
2nd row전북형 햇살가득 농촌재생사업
3rd row친환경농산물 생산 지원
4th row친환경농산물 생산 지원
5th row친환경농산물 생산 지원

Common Values

ValueCountFrequency (%)
경로당(마을회관) 기능보강사업 77
28.1%
귀농귀촌 정착지원 사업 59
21.5%
고품질 원유생산 기반구축 54
19.7%
친환경농산물 생산 지원 36
13.1%
흑염소 사육여건 개선 22
 
8.0%
고품질 축산물 생산지원 11
 
4.0%
명품한우 육성 지원 10
 
3.6%
전북형 햇살가득 농촌재생사업 2
 
0.7%
친환경 우유생산 기반구축(전환사업) 2
 
0.7%
가금 생산성 향상 지원 1
 
0.4%

Length

2023-12-12T21:05:08.486690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:08.639767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경로당(마을회관 77
10.3%
기능보강사업 77
10.3%
고품질 65
8.7%
귀농귀촌 59
 
7.9%
정착지원 59
 
7.9%
사업 59
 
7.9%
원유생산 54
 
7.2%
기반구축 54
 
7.2%
지원 47
 
6.3%
친환경농산물 36
 
4.8%
Other values (17) 159
21.3%

통계목
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
민간자본사업보조(자체재원)
205 
민간경상사업보조
67 
민간자본사업보조(이전재원)
 
2

Length

Max length14
Median length14
Mean length12.532847
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간경상사업보조
2nd row민간경상사업보조
3rd row민간자본사업보조(자체재원)
4th row민간자본사업보조(자체재원)
5th row민간자본사업보조(자체재원)

Common Values

ValueCountFrequency (%)
민간자본사업보조(자체재원) 205
74.8%
민간경상사업보조 67
 
24.5%
민간자본사업보조(이전재원) 2
 
0.7%

Length

2023-12-12T21:05:08.791977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:08.901269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간자본사업보조(자체재원 205
74.8%
민간경상사업보조 67
 
24.5%
민간자본사업보조(이전재원 2
 
0.7%

재배정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size406.0 B
False
274 
ValueCountFrequency (%)
False 274
100.0%
2023-12-12T21:05:08.994235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사업유형코드
Real number (ℝ)

Distinct269
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33065.942
Minimum31932
Maximum35003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:09.115641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum31932
5-th percentile32005.65
Q132164.25
median32932.5
Q333918.75
95-th percentile34408.35
Maximum35003
Range3071
Interquartile range (IQR)1754.5

Descriptive statistics

Standard deviation861.75999
Coefficient of variation (CV)0.026061861
Kurtosis-1.2174399
Mean33065.942
Median Absolute Deviation (MAD)815
Skewness0.28898546
Sum9060068
Variance742630.27
MonotonicityNot monotonic
2023-12-12T21:05:09.294406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33739 2
 
0.7%
34032 2
 
0.7%
32040 2
 
0.7%
32316 2
 
0.7%
33720 2
 
0.7%
33934 1
 
0.4%
34000 1
 
0.4%
34083 1
 
0.4%
32328 1
 
0.4%
32118 1
 
0.4%
Other values (259) 259
94.5%
ValueCountFrequency (%)
31932 1
0.4%
31952 1
0.4%
31963 1
0.4%
31964 1
0.4%
31975 1
0.4%
31976 1
0.4%
31977 1
0.4%
31981 1
0.4%
31982 1
0.4%
31983 1
0.4%
ValueCountFrequency (%)
35003 1
0.4%
34904 1
0.4%
34884 1
0.4%
34876 1
0.4%
34875 1
0.4%
34874 1
0.4%
34863 1
0.4%
34861 1
0.4%
34586 1
0.4%
34584 1
0.4%

보조사업명
Categorical

Distinct12
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
경로당(마을회관)기능보강사업
77 
감자재배농가자재지원사업
36 
귀농인소득사업및생산기반시설지원사업
35 
2021년젖소정액지원사업
30 
2021년젖소비유기속효성첨가제지원사업
24 
Other values (7)
72 

Length

Max length27
Median length23
Mean length15.970803
Min length12

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row전북형햇살가득농촌재생사업(인력지원및소프트웨어사업)
2nd row전북형햇살가득농촌재생사업(인력지원및소프트웨어사업)
3rd row감자재배농가자재지원사업
4th row감자재배농가자재지원사업
5th row감자재배농가자재지원사업

Common Values

ValueCountFrequency (%)
경로당(마을회관)기능보강사업 77
28.1%
감자재배농가자재지원사업 36
13.1%
귀농인소득사업및생산기반시설지원사업 35
12.8%
2021년젖소정액지원사업 30
 
10.9%
2021년젖소비유기속효성첨가제지원사업 24
 
8.8%
귀농귀촌인주택구입신축및수리지원사업 24
 
8.8%
2021년흑염소기자재지원사업 22
 
8.0%
2021년고품질축산물생산(품질향상)지원사업 11
 
4.0%
2021년한우축분처리장비지원사업 10
 
3.6%
전북형햇살가득농촌재생사업(인력지원및소프트웨어사업) 2
 
0.7%
Other values (2) 3
 
1.1%

Length

2023-12-12T21:05:09.487009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경로당(마을회관)기능보강사업 77
28.1%
감자재배농가자재지원사업 36
13.1%
귀농인소득사업및생산기반시설지원사업 35
12.8%
2021년젖소정액지원사업 30
 
10.9%
2021년젖소비유기속효성첨가제지원사업 24
 
8.8%
귀농귀촌인주택구입신축및수리지원사업 24
 
8.8%
2021년흑염소기자재지원사업 22
 
8.0%
2021년고품질축산물생산(품질향상)지원사업 11
 
4.0%
2021년한우축분처리장비지원사업 10
 
3.6%
전북형햇살가득농촌재생사업(인력지원및소프트웨어사업 2
 
0.7%
Other values (2) 3
 
1.1%

보조율
Real number (ℝ)

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.233577
Minimum30
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:09.612322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum30
5-th percentile34
Q140
median40
Q3100
95-th percentile100
Maximum100
Range70
Interquartile range (IQR)60

Descriptive statistics

Standard deviation27.105076
Coefficient of variation (CV)0.46545443
Kurtosis-1.175946
Mean58.233577
Median Absolute Deviation (MAD)8
Skewness0.82986049
Sum15956
Variance734.68517
MonotonicityNot monotonic
2023-12-12T21:05:09.746416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
40 113
41.2%
100 79
28.8%
50 46
16.8%
34 24
 
8.8%
30 10
 
3.6%
60 2
 
0.7%
ValueCountFrequency (%)
30 10
 
3.6%
34 24
 
8.8%
40 113
41.2%
50 46
16.8%
60 2
 
0.7%
100 79
28.8%
ValueCountFrequency (%)
100 79
28.8%
60 2
 
0.7%
50 46
16.8%
40 113
41.2%
34 24
 
8.8%
30 10
 
3.6%

담당자
Categorical

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
김미연
77 
정옥숙
64 
이찬희
59 
이영경
36 
윤석
36 

Length

Max length3
Median length3
Mean length2.8686131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row백성우
2nd row백성우
3rd row이영경
4th row이영경
5th row이영경

Common Values

ValueCountFrequency (%)
김미연 77
28.1%
정옥숙 64
23.4%
이찬희 59
21.5%
이영경 36
13.1%
윤석 36
13.1%
백성우 2
 
0.7%

Length

2023-12-12T21:05:09.897312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:10.025855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김미연 77
28.1%
정옥숙 64
23.4%
이찬희 59
21.5%
이영경 36
13.1%
윤석 36
13.1%
백성우 2
 
0.7%

담당자부서
Categorical

Distinct4
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
농업축산과
136 
주민복지과
77 
농촌활력과
59 
건설과
 
2

Length

Max length5
Median length5
Mean length4.9854015
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row건설과
2nd row건설과
3rd row농업축산과
4th row농업축산과
5th row농업축산과

Common Values

ValueCountFrequency (%)
농업축산과 136
49.6%
주민복지과 77
28.1%
농촌활력과 59
21.5%
건설과 2
 
0.7%

Length

2023-12-12T21:05:10.200047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:10.354636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업축산과 136
49.6%
주민복지과 77
28.1%
농촌활력과 59
21.5%
건설과 2
 
0.7%

카드사용여부
Boolean

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size406.0 B
False
197 
True
77 
ValueCountFrequency (%)
False 197
71.9%
True 77
 
28.1%
2023-12-12T21:05:10.448534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

정산검사여부
Boolean

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size406.0 B
False
159 
True
115 
ValueCountFrequency (%)
False 159
58.0%
True 115
42.0%
2023-12-12T21:05:10.533106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

재위탁수행여부
Boolean

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size406.0 B
False
159 
True
115 
ValueCountFrequency (%)
False 159
58.0%
True 115
42.0%
2023-12-12T21:05:10.634231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

성과평가대상사업여부
Boolean

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size406.0 B
True
148 
False
126 
ValueCountFrequency (%)
True 148
54.0%
False 126
46.0%
2023-12-12T21:05:10.715405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

사업시작일자
Date

Distinct54
Distinct (%)19.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-01-01 00:00:00
Maximum2021-09-13 00:00:00
2023-12-12T21:05:10.834971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:10.971222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업종료일자
Date

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-11-30 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T21:05:11.078241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:11.188408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

보조사업자정보(단체, 개인)
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
개인
194 
단체
80 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row단체
2nd row단체
3rd row개인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
개인 194
70.8%
단체 80
29.2%

Length

2023-12-12T21:05:11.314611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:11.416500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 194
70.8%
단체 80
29.2%

보조사업자정보(생년월일)
Real number (ℝ)

MISSING 

Distinct160
Distinct (%)82.5%
Missing80
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean631561.78
Minimum450103
Maximum980216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:11.553627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum450103
5-th percentile496865
Q1570163.75
median620419
Q3671111
95-th percentile823903.3
Maximum980216
Range530113
Interquartile range (IQR)100947.25

Descriptive statistics

Standard deviation95404.741
Coefficient of variation (CV)0.15106161
Kurtosis0.87581682
Mean631561.78
Median Absolute Deviation (MAD)50692
Skewness0.8316718
Sum1.2252299 × 108
Variance9.1020647 × 109
MonotonicityNot monotonic
2023-12-12T21:05:11.723780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
860410 3
 
1.1%
730608 2
 
0.7%
530828 2
 
0.7%
560305 2
 
0.7%
590318 2
 
0.7%
670111 2
 
0.7%
570802 2
 
0.7%
681215 2
 
0.7%
640503 2
 
0.7%
671007 2
 
0.7%
Other values (150) 173
63.1%
(Missing) 80
29.2%
ValueCountFrequency (%)
450103 1
0.4%
450605 1
0.4%
451226 1
0.4%
460701 1
0.4%
470522 1
0.4%
471007 1
0.4%
480126 1
0.4%
480906 1
0.4%
481228 1
0.4%
490807 1
0.4%
ValueCountFrequency (%)
980216 1
 
0.4%
891101 1
 
0.4%
890808 1
 
0.4%
870219 1
 
0.4%
860410 3
1.1%
850130 1
 
0.4%
830207 2
0.7%
820509 2
0.7%
810803 1
 
0.4%
801215 1
 
0.4%

신청정보(신청차수)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
1
268 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 268
97.8%
2 6
 
2.2%

Length

2023-12-12T21:05:11.864612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:11.990796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 268
97.8%
2 6
 
2.2%

신청정보(신청일자)
Date

Distinct64
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2020-01-06 00:00:00
Maximum2021-09-07 00:00:00
2023-12-12T21:05:12.114072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:12.266864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청정보(계)
Real number (ℝ)

Distinct144
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7559153.8
Minimum380
Maximum2.8 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:12.421019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380
5-th percentile354000
Q11062500
median2700000
Q37469750
95-th percentile30000000
Maximum2.8 × 108
Range2.7999962 × 108
Interquartile range (IQR)6407250

Descriptive statistics

Standard deviation23073551
Coefficient of variation (CV)3.0523987
Kurtosis97.938732
Mean7559153.8
Median Absolute Deviation (MAD)2040000
Skewness9.2991938
Sum2.0712082 × 109
Variance5.3238876 × 1014
MonotonicityNot monotonic
2023-12-12T21:05:12.559832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7500000 17
 
6.2%
30000000 10
 
3.6%
309000 9
 
3.3%
2000000 9
 
3.3%
1400000 6
 
2.2%
3000000 6
 
2.2%
1200000 6
 
2.2%
1000000 5
 
1.8%
1800000 5
 
1.8%
5000000 5
 
1.8%
Other values (134) 196
71.5%
ValueCountFrequency (%)
380 1
 
0.4%
770 1
 
0.4%
60000 1
 
0.4%
189000 1
 
0.4%
309000 9
3.3%
354000 2
 
0.7%
375000 2
 
0.7%
399000 1
 
0.4%
400000 3
 
1.1%
408000 1
 
0.4%
ValueCountFrequency (%)
280000000 1
 
0.4%
220000000 1
 
0.4%
104000000 1
 
0.4%
59200000 1
 
0.4%
35000000 1
 
0.4%
30000000 10
3.6%
21522000 3
 
1.1%
19047000 1
 
0.4%
19000000 1
 
0.4%
18600000 1
 
0.4%

신청정보(보조금)
Real number (ℝ)

Distinct150
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4956426.6
Minimum380
Maximum2.8 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:12.700453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum380
5-th percentile141600
Q1660000
median1587500
Q35000000
95-th percentile9105000
Maximum2.8 × 108
Range2.7999962 × 108
Interquartile range (IQR)4340000

Descriptive statistics

Standard deviation21995084
Coefficient of variation (CV)4.4376898
Kurtosis123.24806
Mean4956426.6
Median Absolute Deviation (MAD)1150000
Skewness10.812839
Sum1.3580609 × 109
Variance4.8378371 × 1014
MonotonicityNot monotonic
2023-12-12T21:05:12.850932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000000 29
 
10.6%
1000000 11
 
4.0%
9000000 10
 
3.6%
123600 9
 
3.3%
880000 6
 
2.2%
2000000 6
 
2.2%
3000000 5
 
1.8%
480000 5
 
1.8%
560000 4
 
1.5%
800000 4
 
1.5%
Other values (140) 185
67.5%
ValueCountFrequency (%)
380 1
 
0.4%
770 1
 
0.4%
24000 1
 
0.4%
75600 1
 
0.4%
123600 9
3.3%
141600 2
 
0.7%
150000 2
 
0.7%
159600 1
 
0.4%
160000 2
 
0.7%
163200 1
 
0.4%
ValueCountFrequency (%)
280000000 1
 
0.4%
220000000 1
 
0.4%
80000000 1
 
0.4%
21522000 3
1.1%
19047000 1
 
0.4%
15871000 1
 
0.4%
14500000 1
 
0.4%
10000000 2
0.7%
9600000 2
0.7%
9300000 1
 
0.4%

신청정보(자부담)
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602727.2
Minimum0
Maximum49200000
Zeros67
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:13.028290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000
median933250
Q32500000
95-th percentile10484800
Maximum49200000
Range49200000
Interquartile range (IQR)2450000

Descriptive statistics

Standard deviation5386370.2
Coefficient of variation (CV)2.0695101
Kurtosis25.202635
Mean2602727.2
Median Absolute Deviation (MAD)933250
Skewness4.3826865
Sum7.1314725 × 108
Variance2.9012984 × 1013
MonotonicityNot monotonic
2023-12-12T21:05:13.211222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
24.5%
2500000 16
 
5.8%
21000000 10
 
3.6%
185400 9
 
3.3%
50000 7
 
2.6%
720000 5
 
1.8%
1080000 4
 
1.5%
840000 4
 
1.5%
1200000 4
 
1.5%
5000000 3
 
1.1%
Other values (120) 145
52.9%
ValueCountFrequency (%)
0 67
24.5%
36000 1
 
0.4%
50000 7
 
2.6%
113400 1
 
0.4%
185400 9
 
3.3%
212400 2
 
0.7%
225000 2
 
0.7%
239400 1
 
0.4%
240000 2
 
0.7%
244800 1
 
0.4%
ValueCountFrequency (%)
49200000 1
 
0.4%
25000000 1
 
0.4%
24000000 1
 
0.4%
21000000 10
3.6%
11400000 1
 
0.4%
9992000 1
 
0.4%
9720000 1
 
0.4%
9300000 1
 
0.4%
9240000 1
 
0.4%
8920750 1
 
0.4%

신청정보(융자)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0109489
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
99.6%
<NA> 1
 
0.4%

Length

2023-12-12T21:05:13.395832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:13.529444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
99.6%
na 1
 
0.4%

교부결정정보(교부결정일자)
Date

Distinct49
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2021-01-01 00:00:00
Maximum2021-09-23 00:00:00
2023-12-12T21:05:13.662185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:05:14.175282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

교부결정정보(계)
Real number (ℝ)

Distinct144
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7545938
Minimum60000
Maximum2.8 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:14.345588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60000
5-th percentile375000
Q11062500
median2700000
Q37469750
95-th percentile30000000
Maximum2.8 × 108
Range2.7994 × 108
Interquartile range (IQR)6407250

Descriptive statistics

Standard deviation23061570
Coefficient of variation (CV)3.0561569
Kurtosis98.169706
Mean7545938
Median Absolute Deviation (MAD)2020000
Skewness9.3146516
Sum2.067587 × 109
Variance5.3183603 × 1014
MonotonicityNot monotonic
2023-12-12T21:05:14.499546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7500000 17
 
6.2%
30000000 10
 
3.6%
309000 9
 
3.3%
2000000 9
 
3.3%
1400000 6
 
2.2%
3000000 6
 
2.2%
1200000 6
 
2.2%
1000000 5
 
1.8%
1800000 5
 
1.8%
5000000 5
 
1.8%
Other values (134) 196
71.5%
ValueCountFrequency (%)
60000 1
 
0.4%
189000 1
 
0.4%
309000 9
3.3%
354000 2
 
0.7%
375000 2
 
0.7%
380000 1
 
0.4%
399000 1
 
0.4%
400000 3
 
1.1%
408000 1
 
0.4%
420000 2
 
0.7%
ValueCountFrequency (%)
280000000 1
 
0.4%
220000000 1
 
0.4%
104000000 1
 
0.4%
59200000 1
 
0.4%
35000000 1
 
0.4%
30000000 10
3.6%
19522000 3
 
1.1%
19000000 1
 
0.4%
18871000 1
 
0.4%
18600000 1
 
0.4%

교부결정정보(보조금)
Real number (ℝ)

Distinct150
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4943210.8
Minimum24000
Maximum2.8 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:14.678511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24000
5-th percentile150000
Q1660000
median1587500
Q35000000
95-th percentile9105000
Maximum2.8 × 108
Range2.79976 × 108
Interquartile range (IQR)4340000

Descriptive statistics

Standard deviation21980945
Coefficient of variation (CV)4.4466938
Kurtosis123.59837
Mean4943210.8
Median Absolute Deviation (MAD)1111800
Skewness10.834206
Sum1.3544398 × 109
Variance4.8316193 × 1014
MonotonicityNot monotonic
2023-12-12T21:05:14.850158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5000000 29
 
10.6%
1000000 11
 
4.0%
9000000 10
 
3.6%
123600 9
 
3.3%
880000 6
 
2.2%
2000000 6
 
2.2%
3000000 5
 
1.8%
480000 5
 
1.8%
560000 4
 
1.5%
800000 4
 
1.5%
Other values (140) 185
67.5%
ValueCountFrequency (%)
24000 1
 
0.4%
75600 1
 
0.4%
123600 9
3.3%
141600 2
 
0.7%
150000 2
 
0.7%
159600 1
 
0.4%
160000 2
 
0.7%
163200 1
 
0.4%
168000 2
 
0.7%
176400 1
 
0.4%
ValueCountFrequency (%)
280000000 1
 
0.4%
220000000 1
 
0.4%
80000000 1
 
0.4%
19522000 3
1.1%
18871000 1
 
0.4%
17277000 1
 
0.4%
14500000 1
 
0.4%
10000000 2
0.7%
9600000 2
0.7%
9300000 1
 
0.4%

교부결정정보(자부담)
Real number (ℝ)

ZEROS 

Distinct130
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2602727.2
Minimum0
Maximum49200000
Zeros67
Zeros (%)24.5%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:15.014531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q150000
median933250
Q32500000
95-th percentile10484800
Maximum49200000
Range49200000
Interquartile range (IQR)2450000

Descriptive statistics

Standard deviation5386370.2
Coefficient of variation (CV)2.0695101
Kurtosis25.202635
Mean2602727.2
Median Absolute Deviation (MAD)933250
Skewness4.3826865
Sum7.1314725 × 108
Variance2.9012984 × 1013
MonotonicityNot monotonic
2023-12-12T21:05:15.200989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 67
24.5%
2500000 16
 
5.8%
21000000 10
 
3.6%
185400 9
 
3.3%
50000 7
 
2.6%
720000 5
 
1.8%
1080000 4
 
1.5%
840000 4
 
1.5%
1200000 4
 
1.5%
5000000 3
 
1.1%
Other values (120) 145
52.9%
ValueCountFrequency (%)
0 67
24.5%
36000 1
 
0.4%
50000 7
 
2.6%
113400 1
 
0.4%
185400 9
 
3.3%
212400 2
 
0.7%
225000 2
 
0.7%
239400 1
 
0.4%
240000 2
 
0.7%
244800 1
 
0.4%
ValueCountFrequency (%)
49200000 1
 
0.4%
25000000 1
 
0.4%
24000000 1
 
0.4%
21000000 10
3.6%
11400000 1
 
0.4%
9992000 1
 
0.4%
9720000 1
 
0.4%
9300000 1
 
0.4%
9240000 1
 
0.4%
8920750 1
 
0.4%

교부결정정보(융자)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
273 
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0109489
Min length1

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 273
99.6%
<NA> 1
 
0.4%

Length

2023-12-12T21:05:15.381245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:15.527340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 273
99.6%
na 1
 
0.4%

지급정보(지급횟수)
Categorical

Distinct2
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
201 
1
73 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 201
73.4%
1 73
 
26.6%

Length

2023-12-12T21:05:15.653991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:15.781170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 201
73.4%
1 73
 
26.6%

지급정보(보조금)
Real number (ℝ)

ZEROS 

Distinct42
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2654938
Minimum0
Maximum2.8 × 108
Zeros201
Zeros (%)73.4%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:15.925589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3500000
95-th percentile5000000
Maximum2.8 × 108
Range2.8 × 108
Interquartile range (IQR)500000

Descriptive statistics

Standard deviation21558913
Coefficient of variation (CV)8.1203076
Kurtosis138.20584
Mean2654938
Median Absolute Deviation (MAD)0
Skewness11.641981
Sum7.27453 × 108
Variance4.6478672 × 1014
MonotonicityNot monotonic
2023-12-12T21:05:16.081103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
0 201
73.4%
1000000 9
 
3.3%
3000000 5
 
1.8%
2000000 4
 
1.5%
5000000 3
 
1.1%
880000 3
 
1.1%
500000 3
 
1.1%
850000 3
 
1.1%
660000 3
 
1.1%
19522000 3
 
1.1%
Other values (32) 37
 
13.5%
ValueCountFrequency (%)
0 201
73.4%
380000 1
 
0.4%
400000 1
 
0.4%
500000 3
 
1.1%
600000 2
 
0.7%
660000 3
 
1.1%
770000 1
 
0.4%
850000 3
 
1.1%
870000 1
 
0.4%
880000 3
 
1.1%
ValueCountFrequency (%)
280000000 1
 
0.4%
220000000 1
 
0.4%
19522000 3
1.1%
17277000 1
 
0.4%
8000000 1
 
0.4%
7500000 1
 
0.4%
7000000 1
 
0.4%
6200000 1
 
0.4%
5800000 1
 
0.4%
5600000 1
 
0.4%

입금정보(입금횟수)
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
203 
1
65 
2
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2
2nd row2
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 203
74.1%
1 65
 
23.7%
2 6
 
2.2%

Length

2023-12-12T21:05:16.231416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:16.345087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 203
74.1%
1 65
 
23.7%
2 6
 
2.2%

입금정보(계)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4509427
Minimum0
Maximum5 × 108
Zeros203
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:16.461619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3475000
95-th percentile5000000
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)475000

Descriptive statistics

Standard deviation42646689
Coefficient of variation (CV)9.4572301
Kurtosis133.42937
Mean4509427
Median Absolute Deviation (MAD)0
Skewness11.574045
Sum1.235583 × 109
Variance1.8187401 × 1015
MonotonicityNot monotonic
2023-12-12T21:05:16.607312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 203
74.1%
1000000 9
 
3.3%
3000000 5
 
1.8%
2000000 4
 
1.5%
5000000 3
 
1.1%
850000 3
 
1.1%
19522000 3
 
1.1%
660000 3
 
1.1%
600000 2
 
0.7%
1300000 2
 
0.7%
Other values (29) 37
 
13.5%
ValueCountFrequency (%)
0 203
74.1%
380000 1
 
0.4%
400000 1
 
0.4%
500000 2
 
0.7%
600000 2
 
0.7%
660000 3
 
1.1%
850000 3
 
1.1%
870000 1
 
0.4%
880000 2
 
0.7%
1000000 9
 
3.3%
ValueCountFrequency (%)
500000000 2
0.7%
19522000 3
1.1%
17277000 1
 
0.4%
8000000 1
 
0.4%
7500000 1
 
0.4%
7140000 2
0.7%
7000000 1
 
0.4%
5800000 1
 
0.4%
5600000 1
 
0.4%
5000000 3
1.1%

입금정보(보조금)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4509427
Minimum0
Maximum5 × 108
Zeros203
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:16.769853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3475000
95-th percentile5000000
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)475000

Descriptive statistics

Standard deviation42646689
Coefficient of variation (CV)9.4572301
Kurtosis133.42937
Mean4509427
Median Absolute Deviation (MAD)0
Skewness11.574045
Sum1.235583 × 109
Variance1.8187401 × 1015
MonotonicityNot monotonic
2023-12-12T21:05:16.899678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 203
74.1%
1000000 9
 
3.3%
3000000 5
 
1.8%
2000000 4
 
1.5%
5000000 3
 
1.1%
850000 3
 
1.1%
19522000 3
 
1.1%
660000 3
 
1.1%
600000 2
 
0.7%
1300000 2
 
0.7%
Other values (29) 37
 
13.5%
ValueCountFrequency (%)
0 203
74.1%
380000 1
 
0.4%
400000 1
 
0.4%
500000 2
 
0.7%
600000 2
 
0.7%
660000 3
 
1.1%
850000 3
 
1.1%
870000 1
 
0.4%
880000 2
 
0.7%
1000000 9
 
3.3%
ValueCountFrequency (%)
500000000 2
0.7%
19522000 3
1.1%
17277000 1
 
0.4%
8000000 1
 
0.4%
7500000 1
 
0.4%
7140000 2
0.7%
7000000 1
 
0.4%
5800000 1
 
0.4%
5600000 1
 
0.4%
5000000 3
1.1%

입금정보(자부담)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.030487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:17.128140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

입금정보(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.222906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:17.314977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행정보(계)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.397933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:17.486390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행정보(보조금)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.572940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:17.667746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행정보(자부담)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.772743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:17.847931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행정보(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:17.950572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:18.032252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행잔액(계)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4509427
Minimum0
Maximum5 × 108
Zeros203
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:18.126184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3475000
95-th percentile5000000
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)475000

Descriptive statistics

Standard deviation42646689
Coefficient of variation (CV)9.4572301
Kurtosis133.42937
Mean4509427
Median Absolute Deviation (MAD)0
Skewness11.574045
Sum1.235583 × 109
Variance1.8187401 × 1015
MonotonicityNot monotonic
2023-12-12T21:05:18.241506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 203
74.1%
1000000 9
 
3.3%
3000000 5
 
1.8%
2000000 4
 
1.5%
5000000 3
 
1.1%
850000 3
 
1.1%
19522000 3
 
1.1%
660000 3
 
1.1%
600000 2
 
0.7%
1300000 2
 
0.7%
Other values (29) 37
 
13.5%
ValueCountFrequency (%)
0 203
74.1%
380000 1
 
0.4%
400000 1
 
0.4%
500000 2
 
0.7%
600000 2
 
0.7%
660000 3
 
1.1%
850000 3
 
1.1%
870000 1
 
0.4%
880000 2
 
0.7%
1000000 9
 
3.3%
ValueCountFrequency (%)
500000000 2
0.7%
19522000 3
1.1%
17277000 1
 
0.4%
8000000 1
 
0.4%
7500000 1
 
0.4%
7140000 2
0.7%
7000000 1
 
0.4%
5800000 1
 
0.4%
5600000 1
 
0.4%
5000000 3
1.1%

집행잔액(보조금)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4509427
Minimum0
Maximum5 × 108
Zeros203
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2023-12-12T21:05:18.368782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3475000
95-th percentile5000000
Maximum5 × 108
Range5 × 108
Interquartile range (IQR)475000

Descriptive statistics

Standard deviation42646689
Coefficient of variation (CV)9.4572301
Kurtosis133.42937
Mean4509427
Median Absolute Deviation (MAD)0
Skewness11.574045
Sum1.235583 × 109
Variance1.8187401 × 1015
MonotonicityNot monotonic
2023-12-12T21:05:18.483921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 203
74.1%
1000000 9
 
3.3%
3000000 5
 
1.8%
2000000 4
 
1.5%
5000000 3
 
1.1%
850000 3
 
1.1%
19522000 3
 
1.1%
660000 3
 
1.1%
600000 2
 
0.7%
1300000 2
 
0.7%
Other values (29) 37
 
13.5%
ValueCountFrequency (%)
0 203
74.1%
380000 1
 
0.4%
400000 1
 
0.4%
500000 2
 
0.7%
600000 2
 
0.7%
660000 3
 
1.1%
850000 3
 
1.1%
870000 1
 
0.4%
880000 2
 
0.7%
1000000 9
 
3.3%
ValueCountFrequency (%)
500000000 2
0.7%
19522000 3
1.1%
17277000 1
 
0.4%
8000000 1
 
0.4%
7500000 1
 
0.4%
7140000 2
0.7%
7000000 1
 
0.4%
5800000 1
 
0.4%
5600000 1
 
0.4%
5000000 3
1.1%

집행잔액(자부담)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:18.588427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:18.690536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

집행잔액(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:18.795791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:18.902439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

이자발생액(계)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:19.031565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:19.146838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

이자발생액(보조금)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:19.289916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:19.404233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

이자발생액(자부담)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:19.523668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:19.652185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

이자발생액(융자)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:19.765437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:19.869271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

교부상태
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
교부결정
200 
지출(지급)
73 
포기
 
1

Length

Max length6
Median length4
Mean length4.5255474
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

1st row지출(지급)
2nd row지출(지급)
3rd row교부결정
4th row교부결정
5th row교부결정

Common Values

ValueCountFrequency (%)
교부결정 200
73.0%
지출(지급) 73
 
26.6%
포기 1
 
0.4%

Length

2023-12-12T21:05:19.996172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:20.122223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
교부결정 200
73.0%
지출(지급 73
 
26.6%
포기 1
 
0.4%

정산상태
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
정산신청
274 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정산신청 274
100.0%

Length

2023-12-12T21:05:20.251211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:20.351102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정산신청 274
100.0%

정산확인자
Categorical

Distinct6
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
김미연
77 
정옥숙
64 
이찬희
59 
이영경
36 
윤석
36 

Length

Max length3
Median length3
Mean length2.8686131
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row백성우
2nd row백성우
3rd row이영경
4th row이영경
5th row이영경

Common Values

ValueCountFrequency (%)
김미연 77
28.1%
정옥숙 64
23.4%
이찬희 59
21.5%
이영경 36
13.1%
윤석 36
13.1%
백성우 2
 
0.7%

Length

2023-12-12T21:05:20.467283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:20.589258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
김미연 77
28.1%
정옥숙 64
23.4%
이찬희 59
21.5%
이영경 36
13.1%
윤석 36
13.1%
백성우 2
 
0.7%

이월여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size406.0 B
False
274 
ValueCountFrequency (%)
False 274
100.0%
2023-12-12T21:05:20.715383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

반납액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:20.841979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:20.964907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

환수액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:21.101068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:21.195404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

마감여부
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
사업진행
274 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업진행 274
100.0%

Length

2023-12-12T21:05:21.307159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:21.793268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업진행 274
100.0%

재산건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
0
274 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 274
100.0%

Length

2023-12-12T21:05:21.892855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:21.984367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 274
100.0%

자료입력
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
공무원
274 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공무원 274
100.0%

Length

2023-12-12T21:05:22.088150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:05:22.178111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공무원 274
100.0%

사업내용
Text

Distinct160
Distinct (%)58.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T21:05:22.385376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length141
Median length36
Mean length16.587591
Min length2

Characters and Unicode

Total characters4545
Distinct characters273
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)44.2%

Sample

1st row3세대의 지역민(청년, 청소년, 중장년)과 3타켓의 외부인(35사단, 관광객, 귀농귀촌)이 5가지 컨셉의 임실군만의 특색있는 먹거리 음식과 5유형의 커뮤니티 디자인을 통해 자체적으로 생산되는 콘텐츠를 함께 향유하는 지속가능한 임실군 문화거점 공간 조성
2nd row3세대의 지역민(청년, 청소년, 중장년)과 3타켓의 외부인(35사단, 관광객, 귀농귀촌)이 5가지 컨셉의 임실군만의 특색있는 먹거리 음식과 5유형의 커뮤니티 디자인을 통해 자체적으로 생산되는 콘텐츠를 함께 향유하는 지속가능한 임실군 문화거점 공간 조성
3rd row감자 생산농가에게 감자종자를 지원하여 원가절감을 통한 영농비 절감으로 농가 경영안정 도모 및 농가 소득증대 기여
4th row감자 생산농가에게 종자대 지원
5th row감자 생산 농가에게 종자대 지원
ValueCountFrequency (%)
지원 90
 
9.3%
및 52
 
5.4%
젖소 36
 
3.7%
구입 29
 
3.0%
지원사업 23
 
2.4%
2021년 20
 
2.1%
정액 19
 
2.0%
생산기반시설 19
 
2.0%
첨가제 16
 
1.7%
소득사업 14
 
1.4%
Other values (290) 648
67.1%
2023-12-12T21:05:22.836181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
694
 
15.3%
지 194
 
4.3%
원 176
 
3.9%
소 113
 
2.5%
, 103
 
2.3%
기 103
 
2.3%
자 100
 
2.2%
가 88
 
1.9%
사 84
 
1.8%
) 70
 
1.5%
Other values (263) 2820
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3481
76.6%
Space Separator 694
 
15.3%
Other Punctuation 108
 
2.4%
Decimal Number 103
 
2.3%
Close Punctuation 70
 
1.5%
Open Punctuation 70
 
1.5%
Uppercase Letter 12
 
0.3%
Lowercase Letter 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 194
 
5.6%
원 176
 
5.1%
소 113
 
3.2%
기 103
 
3.0%
자 100
 
2.9%
가 88
 
2.5%
사 84
 
2.4%
장 69
 
2.0%
및 58
 
1.7%
업 58
 
1.7%
Other values (245) 2438
70.0%
Decimal Number
ValueCountFrequency (%)
2 45
43.7%
0 22
21.4%
1 21
20.4%
3 8
 
7.8%
5 6
 
5.8%
9 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 103
95.4%
. 3
 
2.8%
: 2
 
1.9%
Lowercase Letter
ValueCountFrequency (%)
e 2
33.3%
s 2
33.3%
t 2
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 6
50.0%
V 6
50.0%
Space Separator
ValueCountFrequency (%)
694
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3481
76.6%
Common 1046
 
23.0%
Latin 18
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 194
 
5.6%
원 176
 
5.1%
소 113
 
3.2%
기 103
 
3.0%
자 100
 
2.9%
가 88
 
2.5%
사 84
 
2.4%
장 69
 
2.0%
및 58
 
1.7%
업 58
 
1.7%
Other values (245) 2438
70.0%
Common
ValueCountFrequency (%)
694
66.3%
, 103
 
9.8%
) 70
 
6.7%
( 70
 
6.7%
2 45
 
4.3%
0 22
 
2.1%
1 21
 
2.0%
3 8
 
0.8%
5 6
 
0.6%
. 3
 
0.3%
Other values (3) 4
 
0.4%
Latin
ValueCountFrequency (%)
T 6
33.3%
V 6
33.3%
e 2
 
11.1%
s 2
 
11.1%
t 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3481
76.6%
ASCII 1064
 
23.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
694
65.2%
, 103
 
9.7%
) 70
 
6.6%
( 70
 
6.6%
2 45
 
4.2%
0 22
 
2.1%
1 21
 
2.0%
3 8
 
0.8%
T 6
 
0.6%
5 6
 
0.6%
Other values (8) 19
 
1.8%
Hangul
ValueCountFrequency (%)
지 194
 
5.6%
원 176
 
5.1%
소 113
 
3.2%
기 103
 
3.0%
자 100
 
2.9%
가 88
 
2.5%
사 84
 
2.4%
장 69
 
2.0%
및 58
 
1.7%
업 58
 
1.7%
Other values (245) 2438
70.0%

Sample

회계연도부서명정책사업단위사업세부사업통계목재배정여부사업유형코드보조사업명보조율담당자담당자부서카드사용여부정산검사여부재위탁수행여부성과평가대상사업여부사업시작일자사업종료일자보조사업자정보(단체, 개인)보조사업자정보(생년월일)신청정보(신청차수)신청정보(신청일자)신청정보(계)신청정보(보조금)신청정보(자부담)신청정보(융자)교부결정정보(교부결정일자)교부결정정보(계)교부결정정보(보조금)교부결정정보(자부담)교부결정정보(융자)지급정보(지급횟수)지급정보(보조금)입금정보(입금횟수)입금정보(계)입금정보(보조금)입금정보(자부담)입금정보(융자)집행정보(계)집행정보(보조금)집행정보(자부담)집행정보(융자)집행잔액(계)집행잔액(보조금)집행잔액(자부담)집행잔액(융자)이자발생액(계)이자발생액(보조금)이자발생액(자부담)이자발생액(융자)교부상태정산상태정산확인자이월여부반납액환수액마감여부재산건수자료입력사업내용
02021건설과살기좋은 도시공동체 조성도시기반시설 확충전북형 햇살가득 농촌재생사업민간경상사업보조N33739전북형햇살가득농촌재생사업(인력지원및소프트웨어사업)100백성우건설과NYYN2021-01-012022-12-31단체<NA>12021-01-01220000000220000000002021-01-012200000002200000000012200000002500000000500000000000000500000000500000000000000지출(지급)정산신청백성우N00사업진행0공무원3세대의 지역민(청년, 청소년, 중장년)과 3타켓의 외부인(35사단, 관광객, 귀농귀촌)이 5가지 컨셉의 임실군만의 특색있는 먹거리 음식과 5유형의 커뮤니티 디자인을 통해 자체적으로 생산되는 콘텐츠를 함께 향유하는 지속가능한 임실군 문화거점 공간 조성
12021건설과살기좋은 도시공동체 조성도시기반시설 확충전북형 햇살가득 농촌재생사업민간경상사업보조N33739전북형햇살가득농촌재생사업(인력지원및소프트웨어사업)100백성우건설과NYYN2021-06-022022-12-31단체<NA>22021-06-21280000000280000000002021-06-212800000002800000000012800000002500000000500000000000000500000000500000000000000지출(지급)정산신청백성우N00사업진행0공무원3세대의 지역민(청년, 청소년, 중장년)과 3타켓의 외부인(35사단, 관광객, 귀농귀촌)이 5가지 컨셉의 임실군만의 특색있는 먹거리 음식과 5유형의 커뮤니티 디자인을 통해 자체적으로 생산되는 콘텐츠를 함께 향유하는 지속가능한 임실군 문화거점 공간 조성
22021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32535감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-052021-12-31개인48012612021-02-0540800016320024480002021-02-1540800016320024480000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자 생산농가에게 감자종자를 지원하여 원가절감을 통한 영농비 절감으로 농가 경영안정 도모 및 농가 소득증대 기여
32021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32003감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인67070712021-01-2130900012360018540002021-02-1530900012360018540000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자 생산농가에게 종자대 지원
42021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32057감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인56031012021-01-2530900012360018540002021-02-1530900012360018540000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자 생산 농가에게 종자대 지원
52021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N31952감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인59062112021-01-1930900012360018540002021-02-1530900012360018540000000000000000000000교부결정정산신청이영경N00사업진행0공무원감재재배농가 자재 지원
62021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32562감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인73092912021-02-05133500053400080100002021-02-15133500053400080100000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자재배농가 자재지원
72021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32008감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인61040512021-01-2139900015960023940002021-02-1539900015960023940000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자종자 및 멀칭비닐 지원
82021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N32583감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인73071212021-02-0579500031800047700002021-02-1579500031800047700000000000000000000000교부결정정산신청이영경N00사업진행0공무원감자재배농가 지원사업
92021농업축산과농업 농촌 활력화 사업친환경 농수산 생산기반 구축친환경농산물 생산 지원민간자본사업보조(자체재원)N31975감자재배농가자재지원사업40이영경농업축산과NYYY2021-02-012021-12-31개인59030312020-12-0130900012360018540002021-02-1530900012360018540000000000000000000000교부결정정산신청이영경N00사업진행0공무원종자감자, 멀칭비닐 구입
회계연도부서명정책사업단위사업세부사업통계목재배정여부사업유형코드보조사업명보조율담당자담당자부서카드사용여부정산검사여부재위탁수행여부성과평가대상사업여부사업시작일자사업종료일자보조사업자정보(단체, 개인)보조사업자정보(생년월일)신청정보(신청차수)신청정보(신청일자)신청정보(계)신청정보(보조금)신청정보(자부담)신청정보(융자)교부결정정보(교부결정일자)교부결정정보(계)교부결정정보(보조금)교부결정정보(자부담)교부결정정보(융자)지급정보(지급횟수)지급정보(보조금)입금정보(입금횟수)입금정보(계)입금정보(보조금)입금정보(자부담)입금정보(융자)집행정보(계)집행정보(보조금)집행정보(자부담)집행정보(융자)집행잔액(계)집행잔액(보조금)집행잔액(자부담)집행잔액(융자)이자발생액(계)이자발생액(보조금)이자발생액(자부담)이자발생액(융자)교부상태정산상태정산확인자이월여부반납액환수액마감여부재산건수자료입력사업내용
2642021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N34876경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-08-042021-12-31단체<NA>12021-08-04880000880000002021-08-0488000088000000188000000000000000000000지출(지급)정산신청김미연N00사업진행0공무원보일러 수리(교체)
2652021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N34874경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-08-042021-12-31단체<NA>12021-08-031450000014500000002021-08-031450000014500000000000000000000000000교부결정정산신청김미연N00사업진행0공무원보일러난방, 씽크대교체, 도배장판, 주방 타일 교체 등
2662021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N34164경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-04-082021-12-31단체<NA>12021-04-0730000003000000002021-04-0730000003000000001300000013000000300000000000030000003000000000000지출(지급)정산신청김미연N00사업진행0공무원남자화장실 소변기.세면대철거, 개수대.선반설치, 외부화장실 문교체
2672021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N33770경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-03-232021-12-31단체<NA>12021-03-2212000001200000002021-03-2212000001200000001120000011200000120000000000012000001200000000000지출(지급)정산신청김미연N00사업진행0공무원도배
2682021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N33995경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-04-022021-12-31단체<NA>12021-04-0137000003700000002021-04-0137000003700000001370000013700000370000000000037000003700000000000지출(지급)정산신청김미연N00사업진행0공무원외벽페인트, 도배, 지붕물받이(기와강판) 교체
2692021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N33795경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-03-242021-12-31단체<NA>12021-03-23105000010000005000002021-03-23105000010000005000001100000011000000100000000000010000001000000000000지출(지급)정산신청김미연N00사업진행0공무원물품지원(냉장고)
2702021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N33827경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-03-252021-12-31단체<NA>12021-03-2413000001300000002021-03-2413000001300000001130000011300000130000000000013000001300000000000지출(지급)정산신청김미연N00사업진행0공무원물품지원(공기청정기외2종)
2712021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N34085경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-04-062021-12-31단체<NA>12021-04-05190000018500005000002021-04-05190000018500005000001185000011850000185000000000018500001850000000000지출(지급)정산신청김미연N00사업진행0공무원물품지원(냉장고,김치냉장고)
2722021주민복지과노후생활지원강화노인복지공동체 실현경로당(마을회관) 기능보강사업민간자본사업보조(자체재원)N35003경로당(마을회관)기능보강사업100김미연주민복지과YYYY2021-09-132021-12-31단체<NA>12021-09-07880000880000002021-09-13880000880000000000000000000000000교부결정정산신청김미연N00사업진행0공무원경로당 보일러 물품 교체
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