Overview

Dataset statistics

Number of variables22
Number of observations262
Missing cells476
Missing cells (%)8.3%
Duplicate rows7
Duplicate rows (%)2.7%
Total size in memory48.5 KiB
Average record size in memory189.5 B

Variable types

Categorical4
Numeric12
Boolean1
Text2
DateTime3

Dataset

Description전라남도 화순군 보조사업현황으로 부서명, 예산액, 지급액, 반납액, 보조사업명, 담당공무원, 사업수행기간, 사업내용 등 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15063940/fileData.do

Alerts

재배정여부 has constant value ""Constant
데이터기준일 has constant value ""Constant
Dataset has 7 (2.7%) duplicate rowsDuplicates
보조금 신청액 has 5 (1.9%) missing valuesMissing
자부담 신청액 has 5 (1.9%) missing valuesMissing
융자 신청액 has 5 (1.9%) missing valuesMissing
사업시작일 has 6 (2.3%) missing valuesMissing
사업종료일 has 6 (2.3%) missing valuesMissing
사업내용 has 161 (61.5%) missing valuesMissing
보조금 교부액 has 96 (36.6%) missing valuesMissing
자부담 교부액 has 96 (36.6%) missing valuesMissing
융자 교부액 has 96 (36.6%) missing valuesMissing
반납액(B) has 220 (84.0%) zerosZeros
자부담 신청액 has 82 (31.3%) zerosZeros
융자 신청액 has 228 (87.0%) zerosZeros
보조금 교부액 has 15 (5.7%) zerosZeros
자부담 교부액 has 72 (27.5%) zerosZeros
융자 교부액 has 147 (56.1%) zerosZeros

Reproduction

Analysis started2023-12-12 16:51:13.201450
Analysis finished2023-12-12 16:51:13.696912
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계년도
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2020
156 
2022
83 
2021
23 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2020 156
59.5%
2022 83
31.7%
2021 23
 
8.8%

Length

2023-12-13T01:51:13.785142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:13.909904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020 156
59.5%
2022 83
31.7%
2021 23
 
8.8%

부서명
Categorical

Distinct3
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
농업정책과
124 
건설과
72 
농업기술센터
66 

Length

Max length6
Median length5
Mean length4.7022901
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
농업정책과 124
47.3%
건설과 72
27.5%
농업기술센터 66
25.2%

Length

2023-12-13T01:51:14.039150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:14.150152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
농업정책과 124
47.3%
건설과 72
27.5%
농업기술센터 66
25.2%

예산액
Real number (ℝ)

Distinct31
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.709338 × 108
Minimum6000000
Maximum2.6106398 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:14.292992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000000
5-th percentile42000000
Q11.6 × 108
median3.1345 × 108
Q39.3251 × 108
95-th percentile2.3179 × 109
Maximum2.6106398 × 109
Range2.6046398 × 109
Interquartile range (IQR)7.7251 × 108

Descriptive statistics

Standard deviation7.9475407 × 108
Coefficient of variation (CV)1.1845492
Kurtosis-0.099461716
Mean6.709338 × 108
Median Absolute Deviation (MAD)1.825616 × 108
Skewness1.2636521
Sum1.7578466 × 1011
Variance6.3163404 × 1017
MonotonicityNot monotonic
2023-12-13T01:51:14.465054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1978621000 36
13.7%
400000000 34
13.0%
190705000 26
 
9.9%
465525000 19
 
7.3%
2317900000 17
 
6.5%
130888400 15
 
5.7%
303500000 12
 
4.6%
68000000 10
 
3.8%
190000000 10
 
3.8%
932510000 10
 
3.8%
Other values (21) 73
27.9%
ValueCountFrequency (%)
6000000 1
 
0.4%
7000000 1
 
0.4%
10000000 3
 
1.1%
10500000 1
 
0.4%
21000000 4
 
1.5%
40000000 1
 
0.4%
42000000 5
1.9%
45000000 1
 
0.4%
47250000 5
1.9%
68000000 10
3.8%
ValueCountFrequency (%)
2610639830 4
 
1.5%
2317900000 17
6.5%
1978621000 36
13.7%
932510000 10
 
3.8%
490000000 2
 
0.8%
465525000 19
7.3%
400000000 34
13.0%
327530000 7
 
2.7%
323400000 2
 
0.8%
303500000 12
 
4.6%

재배정여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size394.0 B
False
262 
ValueCountFrequency (%)
False 262
100.0%
2023-12-13T01:51:14.580083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

국비여부
Categorical

Distinct2
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
없음
208 
일부
54 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 208
79.4%
일부 54
 
20.6%

Length

2023-12-13T01:51:14.696995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:51:14.820340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 208
79.4%
일부 54
 
20.6%

지급액(A)
Real number (ℝ)

Distinct31
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2616613 × 108
Minimum6000000
Maximum1.8611225 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:14.930840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000000
5-th percentile42000000
Q11.16 × 108
median2.96585 × 108
Q33.90247 × 108
95-th percentile1.2602539 × 109
Maximum1.8611225 × 109
Range1.8551225 × 109
Interquartile range (IQR)2.74247 × 108

Descriptive statistics

Standard deviation4.3892864 × 108
Coefficient of variation (CV)1.0299473
Kurtosis0.84859488
Mean4.2616613 × 108
Median Absolute Deviation (MAD)1.399436 × 108
Skewness1.3915836
Sum1.1165553 × 1011
Variance1.9265835 × 1017
MonotonicityNot monotonic
2023-12-13T01:51:15.097117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
1260253870 36
13.7%
390247000 34
13.0%
156641400 26
 
9.9%
377328000 19
 
7.3%
913525800 17
 
6.5%
97880000 15
 
5.7%
296585000 12
 
4.6%
53563000 10
 
3.8%
190000000 10
 
3.8%
192373500 10
 
3.8%
Other values (21) 73
27.9%
ValueCountFrequency (%)
6000000 1
 
0.4%
7000000 1
 
0.4%
10000000 3
 
1.1%
10500000 1
 
0.4%
21000000 4
 
1.5%
40000000 1
 
0.4%
42000000 5
1.9%
43872000 5
1.9%
45000000 1
 
0.4%
53563000 10
3.8%
ValueCountFrequency (%)
1861122510 4
 
1.5%
1260253870 36
13.7%
913525800 17
6.5%
442988000 2
 
0.8%
390247000 34
13.0%
377328000 19
7.3%
327530000 7
 
2.7%
323400000 2
 
0.8%
296585000 12
 
4.6%
229000000 8
 
3.1%

반납액(B)
Real number (ℝ)

ZEROS 

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1492566.3
Minimum-32035600
Maximum0
Zeros220
Zeros (%)84.0%
Negative42
Negative (%)16.0%
Memory size2.4 KiB
2023-12-13T01:51:15.241824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-32035600
5-th percentile-11267410
Q10
median0
Q30
95-th percentile0
Maximum0
Range32035600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation5915417.7
Coefficient of variation (CV)-3.9632529
Kurtosis19.682367
Mean-1492566.3
Median Absolute Deviation (MAD)0
Skewness-4.463344
Sum-3.9105237 × 108
Variance3.4992167 × 1013
MonotonicityNot monotonic
2023-12-13T01:51:15.370520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
0 220
84.0%
-50460 10
 
3.8%
-32035600 8
 
3.1%
-412190 7
 
2.7%
-11267410 7
 
2.7%
-985090 4
 
1.5%
-9655140 2
 
0.8%
-14597340 2
 
0.8%
-59750 1
 
0.4%
-700 1
 
0.4%
ValueCountFrequency (%)
-32035600 8
 
3.1%
-14597340 2
 
0.8%
-11267410 7
 
2.7%
-9655140 2
 
0.8%
-985090 4
 
1.5%
-412190 7
 
2.7%
-59750 1
 
0.4%
-50460 10
 
3.8%
-700 1
 
0.4%
0 220
84.0%
ValueCountFrequency (%)
0 220
84.0%
-700 1
 
0.4%
-50460 10
 
3.8%
-59750 1
 
0.4%
-412190 7
 
2.7%
-985090 4
 
1.5%
-9655140 2
 
0.8%
-11267410 7
 
2.7%
-14597340 2
 
0.8%
-32035600 8
 
3.1%

실지급액(C)
Real number (ℝ)

Distinct33
Distinct (%)12.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.2467356 × 108
Minimum6000000
Maximum1.8611225 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:15.538688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6000000
5-th percentile41014910
Q11.16 × 108
median2.96585 × 108
Q33.90247 × 108
95-th percentile1.2602539 × 109
Maximum1.8611225 × 109
Range1.8551225 × 109
Interquartile range (IQR)2.74247 × 108

Descriptive statistics

Standard deviation4.3951275 × 108
Coefficient of variation (CV)1.0349426
Kurtosis0.84839254
Mean4.2467356 × 108
Median Absolute Deviation (MAD)1.399436 × 108
Skewness1.3944431
Sum1.1126447 × 1011
Variance1.9317146 × 1017
MonotonicityNot monotonic
2023-12-13T01:51:15.724805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1260253870 36
13.7%
390247000 34
13.0%
156641400 26
 
9.9%
377328000 19
 
7.3%
913525800 17
 
6.5%
97880000 15
 
5.7%
296585000 12
 
4.6%
192373500 10
 
3.8%
53563000 10
 
3.8%
189949540 10
 
3.8%
Other values (23) 73
27.9%
ValueCountFrequency (%)
6000000 1
 
0.4%
6999300 1
 
0.4%
10000000 3
1.1%
10500000 1
 
0.4%
21000000 4
1.5%
40000000 1
 
0.4%
41014910 4
1.5%
42000000 1
 
0.4%
43872000 5
1.9%
45000000 1
 
0.4%
ValueCountFrequency (%)
1861122510 4
 
1.5%
1260253870 36
13.7%
913525800 17
6.5%
428390660 2
 
0.8%
390247000 34
13.0%
377328000 19
7.3%
316262590 7
 
2.7%
313744860 2
 
0.8%
296585000 12
 
4.6%
196964400 8
 
3.1%

보조사업명
Text

Distinct109
Distinct (%)41.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-13T01:51:16.015236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length20
Mean length17.347328
Min length11

Characters and Unicode

Total characters4545
Distinct characters217
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique87 ?
Unique (%)33.2%

Sample

1st row동복면연월3리마을회관보수공사
2nd row고추이상기상피해경감안정생산기술보급
3rd row고추이상기상피해경감안정생산기술보급
4th row고추이상기상피해경감안정생산기술보급
5th row고추이상기상피해경감안정생산기술보급
ValueCountFrequency (%)
2020년시설원예농가환경개선지원사업 34
 
13.0%
2019년소규모시설원예농가현대화지원사업(명시이월 26
 
9.9%
2020년농업에너지이용효율화지원사업 19
 
7.3%
시설원예현대화지원사업(일반원예 12
 
4.6%
2020년축산ict융복합지원사업 10
 
3.8%
화훼농가경영비절감지원사업 10
 
3.8%
기후변화대응아열대작목패션프루트단지조성 8
 
3.1%
아스파라거스수확후관리기술보급시범 8
 
3.1%
기후온난화대응아열대채소도입시범 7
 
2.7%
고추비가림재배시설지원사업 5
 
1.9%
Other values (99) 123
46.9%
2023-12-13T01:51:16.423978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 223
 
4.9%
사 214
 
4.7%
2 174
 
3.8%
업 171
 
3.8%
지 166
 
3.7%
0 160
 
3.5%
시 150
 
3.3%
농 114
 
2.5%
화 112
 
2.5%
년 98
 
2.2%
Other values (207) 2963
65.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3978
87.5%
Decimal Number 427
 
9.4%
Uppercase Letter 47
 
1.0%
Close Punctuation 44
 
1.0%
Open Punctuation 44
 
1.0%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 223
 
5.6%
사 214
 
5.4%
업 171
 
4.3%
지 166
 
4.2%
시 150
 
3.8%
농 114
 
2.9%
화 112
 
2.8%
년 98
 
2.5%
설 90
 
2.3%
예 88
 
2.2%
Other values (193) 2552
64.2%
Decimal Number
ValueCountFrequency (%)
2 174
40.7%
0 160
37.5%
1 51
 
11.9%
9 26
 
6.1%
4 8
 
1.9%
3 6
 
1.4%
5 2
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
I 14
29.8%
C 14
29.8%
T 14
29.8%
H 5
 
10.6%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3978
87.5%
Common 520
 
11.4%
Latin 47
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 223
 
5.6%
사 214
 
5.4%
업 171
 
4.3%
지 166
 
4.2%
시 150
 
3.8%
농 114
 
2.9%
화 112
 
2.8%
년 98
 
2.5%
설 90
 
2.3%
예 88
 
2.2%
Other values (193) 2552
64.2%
Common
ValueCountFrequency (%)
2 174
33.5%
0 160
30.8%
1 51
 
9.8%
) 44
 
8.5%
( 44
 
8.5%
9 26
 
5.0%
4 8
 
1.5%
3 6
 
1.2%
- 5
 
1.0%
5 2
 
0.4%
Latin
ValueCountFrequency (%)
I 14
29.8%
C 14
29.8%
T 14
29.8%
H 5
 
10.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3978
87.5%
ASCII 567
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 223
 
5.6%
사 214
 
5.4%
업 171
 
4.3%
지 166
 
4.2%
시 150
 
3.8%
농 114
 
2.9%
화 112
 
2.8%
년 98
 
2.5%
설 90
 
2.3%
예 88
 
2.2%
Other values (193) 2552
64.2%
ASCII
ValueCountFrequency (%)
2 174
30.7%
0 160
28.2%
1 51
 
9.0%
) 44
 
7.8%
( 44
 
7.8%
9 26
 
4.6%
I 14
 
2.5%
C 14
 
2.5%
T 14
 
2.5%
4 8
 
1.4%
Other values (4) 18
 
3.2%

담당자
Categorical

Distinct12
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
양준호
113 
이소라
51 
박지은
33 
정다은
19 
김정륜
 
10
Other values (7)
36 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row이소라
2nd row박지은
3rd row박지은
4th row박지은
5th row박지은

Common Values

ValueCountFrequency (%)
양준호 113
43.1%
이소라 51
19.5%
박지은 33
 
12.6%
정다은 19
 
7.3%
김정륜 10
 
3.8%
이혜선 10
 
3.8%
최재혁 9
 
3.4%
김귀순 7
 
2.7%
박효진 4
 
1.5%
최승필 4
 
1.5%
Other values (2) 2
 
0.8%

Length

2023-12-13T01:51:16.599568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양준호 113
43.1%
이소라 51
19.5%
박지은 33
 
12.6%
정다은 19
 
7.3%
김정륜 10
 
3.8%
이혜선 10
 
3.8%
최재혁 9
 
3.4%
김귀순 7
 
2.7%
박효진 4
 
1.5%
최승필 4
 
1.5%
Other values (2) 2
 
0.8%

보조율
Real number (ℝ)

Distinct10
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.266412
Minimum0
Maximum100
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:16.756220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile50
Q150
median70
Q3100
95-th percentile100
Maximum100
Range100
Interquartile range (IQR)50

Descriptive statistics

Standard deviation23.611602
Coefficient of variation (CV)0.34088098
Kurtosis-1.2768288
Mean69.266412
Median Absolute Deviation (MAD)20
Skewness0.21071096
Sum18147.8
Variance557.50776
MonotonicityNot monotonic
2023-12-13T01:51:16.911755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
50.0 114
43.5%
100.0 85
32.4%
70.0 41
 
15.6%
30.0 10
 
3.8%
80.0 4
 
1.5%
60.0 3
 
1.1%
47.4 2
 
0.8%
0.0 1
 
0.4%
90.0 1
 
0.4%
93.0 1
 
0.4%
ValueCountFrequency (%)
0.0 1
 
0.4%
30.0 10
 
3.8%
47.4 2
 
0.8%
50.0 114
43.5%
60.0 3
 
1.1%
70.0 41
 
15.6%
80.0 4
 
1.5%
90.0 1
 
0.4%
93.0 1
 
0.4%
100.0 85
32.4%
ValueCountFrequency (%)
100.0 85
32.4%
93.0 1
 
0.4%
90.0 1
 
0.4%
80.0 4
 
1.5%
70.0 41
 
15.6%
60.0 3
 
1.1%
50.0 114
43.5%
47.4 2
 
0.8%
30.0 10
 
3.8%
0.0 1
 
0.4%

총사업비
Real number (ℝ)

Distinct50
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.48621 × 108
Minimum0
Maximum4.65525 × 108
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:17.065922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4810000
Q120000000
median68000000
Q32.697875 × 108
95-th percentile4.65525 × 108
Maximum4.65525 × 108
Range4.65525 × 108
Interquartile range (IQR)2.497875 × 108

Descriptive statistics

Standard deviation1.590914 × 108
Coefficient of variation (CV)1.0704503
Kurtosis-0.77711692
Mean1.48621 × 108
Median Absolute Deviation (MAD)58000000
Skewness0.86944973
Sum3.8938702 × 1010
Variance2.5310072 × 1016
MonotonicityNot monotonic
2023-12-13T01:51:17.270504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
400000000 34
 
13.0%
190705000 26
 
9.9%
20000000 21
 
8.0%
465525000 19
 
7.3%
10000000 14
 
5.3%
21000000 12
 
4.6%
15000000 12
 
4.6%
290000000 12
 
4.6%
45000000 11
 
4.2%
68000000 10
 
3.8%
Other values (40) 91
34.7%
ValueCountFrequency (%)
0 1
0.4%
8400 2
0.8%
1144000 1
0.4%
1480000 1
0.4%
1500000 1
0.4%
1700000 1
0.4%
1710000 1
0.4%
2904000 1
0.4%
2992000 1
0.4%
3480000 1
0.4%
ValueCountFrequency (%)
465525000 19
7.3%
400000000 34
13.0%
294000000 1
 
0.4%
290000000 12
 
4.6%
209150000 3
 
1.1%
200000000 8
 
3.1%
196000000 1
 
0.4%
190705000 26
9.9%
120000000 1
 
0.4%
103200000 2
 
0.8%

보조금 신청액
Real number (ℝ)

MISSING 

Distinct140
Distinct (%)54.5%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean18508712
Minimum0
Maximum4.2474 × 108
Zeros1
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:17.477816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1708000
Q16000000
median10850000
Q320000000
95-th percentile46320000
Maximum4.2474 × 108
Range4.2474 × 108
Interquartile range (IQR)14000000

Descriptive statistics

Standard deviation34572003
Coefficient of variation (CV)1.8678773
Kurtosis88.891849
Mean18508712
Median Absolute Deviation (MAD)7150000
Skewness8.5192913
Sum4.756739 × 109
Variance1.1952234 × 1015
MonotonicityNot monotonic
2023-12-13T01:51:17.684086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000000 23
 
8.8%
10000000 16
 
6.1%
15000000 12
 
4.6%
21000000 8
 
3.1%
10850000 8
 
3.1%
16500000 6
 
2.3%
40000000 6
 
2.3%
30000000 6
 
2.3%
6000000 5
 
1.9%
7000000 5
 
1.9%
Other values (130) 162
61.8%
ValueCountFrequency (%)
0 1
0.4%
475000 1
0.4%
825000 1
0.4%
1050000 1
0.4%
1144000 1
0.4%
1150000 1
0.4%
1240000 1
0.4%
1350000 1
0.4%
1480000 1
0.4%
1500000 1
0.4%
ValueCountFrequency (%)
424740000 1
0.4%
289500000 1
0.4%
120000000 1
0.4%
100000000 1
0.4%
80000000 1
0.4%
79500000 1
0.4%
71070000 1
0.4%
70000000 2
0.8%
60500000 1
0.4%
53475000 1
0.4%

자부담 신청액
Real number (ℝ)

MISSING  ZEROS 

Distinct124
Distinct (%)48.2%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean8876283.2
Minimum0
Maximum2.8316 × 108
Zeros82
Zeros (%)31.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:17.880241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4000000
Q310000000
95-th percentile30000000
Maximum2.8316 × 108
Range2.8316 × 108
Interquartile range (IQR)10000000

Descriptive statistics

Standard deviation22850248
Coefficient of variation (CV)2.5743036
Kurtosis97.114075
Mean8876283.2
Median Absolute Deviation (MAD)4000000
Skewness9.0005065
Sum2.2812048 × 109
Variance5.2213381 × 1014
MonotonicityNot monotonic
2023-12-13T01:51:18.104545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 82
31.3%
4650000 8
 
3.1%
3000000 8
 
3.1%
4500000 7
 
2.7%
750000 4
 
1.5%
6600000 4
 
1.5%
40000000 3
 
1.1%
14150000 3
 
1.1%
16500000 3
 
1.1%
10000000 3
 
1.1%
Other values (114) 132
50.4%
(Missing) 5
 
1.9%
ValueCountFrequency (%)
0 82
31.3%
450000 1
 
0.4%
475000 1
 
0.4%
720000 1
 
0.4%
750000 4
 
1.5%
825000 1
 
0.4%
900000 1
 
0.4%
960000 1
 
0.4%
1140000 1
 
0.4%
1150000 1
 
0.4%
ValueCountFrequency (%)
283160000 1
 
0.4%
193000000 1
 
0.4%
63067000 1
 
0.4%
51600000 1
 
0.4%
40000000 3
1.1%
38720000 1
 
0.4%
35650000 1
 
0.4%
33055000 1
 
0.4%
31800000 1
 
0.4%
30000000 3
1.1%

융자 신청액
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)11.3%
Missing5
Missing (%)1.9%
Infinite0
Infinite (%)0.0%
Mean6999144
Minimum0
Maximum7.079 × 108
Zeros228
Zeros (%)87.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:18.274896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21520800
Maximum7.079 × 108
Range7.079 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53926448
Coefficient of variation (CV)7.7047206
Kurtosis135.28309
Mean6999144
Median Absolute Deviation (MAD)0
Skewness11.362038
Sum1.79878 × 109
Variance2.9080618 × 1015
MonotonicityNot monotonic
2023-12-13T01:51:18.448062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 228
87.0%
6000000 2
 
0.8%
40950000 1
 
0.4%
33250000 1
 
0.4%
14100000 1
 
0.4%
22821000 1
 
0.4%
24000000 1
 
0.4%
21780000 1
 
0.4%
3600000 1
 
0.4%
14760000 1
 
0.4%
Other values (19) 19
 
7.3%
(Missing) 5
 
1.9%
ValueCountFrequency (%)
0 228
87.0%
1950000 1
 
0.4%
3600000 1
 
0.4%
4356000 1
 
0.4%
6000000 2
 
0.8%
7000000 1
 
0.4%
7200000 1
 
0.4%
9900000 1
 
0.4%
11760000 1
 
0.4%
12000000 1
 
0.4%
ValueCountFrequency (%)
707900000 1
0.4%
482500000 1
0.4%
89125000 1
0.4%
47700000 1
0.4%
42642000 1
0.4%
40950000 1
0.4%
40250000 1
0.4%
39750000 1
0.4%
33790000 1
0.4%
33250000 1
0.4%

사업시작일
Date

MISSING 

Distinct84
Distinct (%)32.8%
Missing6
Missing (%)2.3%
Memory size2.2 KiB
Minimum2019-11-01 00:00:00
Maximum2022-06-13 00:00:00
2023-12-13T01:51:18.596782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:19.116250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업종료일
Date

MISSING 

Distinct58
Distinct (%)22.7%
Missing6
Missing (%)2.3%
Memory size2.2 KiB
Minimum2020-02-25 00:00:00
Maximum2022-12-31 00:00:00
2023-12-13T01:51:19.294982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:19.467825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업내용
Text

MISSING 

Distinct52
Distinct (%)51.5%
Missing161
Missing (%)61.5%
Memory size2.2 KiB
2023-12-13T01:51:19.795391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length64
Mean length15.782178
Min length3

Characters and Unicode

Total characters1594
Distinct characters223
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)38.6%

Sample

1st row마을회관 보수 1식
2nd row경로당 리모델링 1식
3rd row 꾸지뽕 가공 기계(추출기) 구입 꾸지뽕 가공 전통장류 포장재 제작
4th row블루베리 상품성 향상을 위한 선별기 및 예냉기 구입 블루베리 포장재 제작 및 구입 블루베리 체험관련 물품구입
5th row 벌꿀 브랜드 개발 및 상표등록, 간판 제작 벌꿀 포장재, 홍보 리플렛, 상세페이지 디자인 및 제작 벌꿀 포장 용기 구입
ValueCountFrequency (%)
및 19
 
5.2%
다겹보온커튼 16
 
4.4%
1식 15
 
4.1%
위한 11
 
3.0%
등 10
 
2.8%
개발 10
 
2.8%
장기성필름 9
 
2.5%
보수 9
 
2.5%
마을회관 8
 
2.2%
구입 8
 
2.2%
Other values (133) 248
68.3%
2023-12-13T01:51:20.378395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
 
17.1%
설 45
 
2.8%
기 44
 
2.8%
, 43
 
2.7%
시 40
 
2.5%
보 32
 
2.0%
장 27
 
1.7%
스 20
 
1.3%
) 19
 
1.2%
관 19
 
1.2%
Other values (213) 1033
64.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1170
73.4%
Space Separator 272
 
17.1%
Other Punctuation 46
 
2.9%
Decimal Number 34
 
2.1%
Close Punctuation 19
 
1.2%
Open Punctuation 19
 
1.2%
Uppercase Letter 19
 
1.2%
Dash Punctuation 12
 
0.8%
Other Symbol 2
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
설 45
 
3.8%
기 44
 
3.8%
시 40
 
3.4%
보 32
 
2.7%
장 27
 
2.3%
스 20
 
1.7%
관 19
 
1.6%
및 19
 
1.6%
을 18
 
1.5%
개 18
 
1.5%
Other values (192) 888
75.9%
Decimal Number
ValueCountFrequency (%)
1 18
52.9%
4 6
 
17.6%
9 2
 
5.9%
3 2
 
5.9%
5 2
 
5.9%
0 2
 
5.9%
2 1
 
2.9%
6 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
H 6
31.6%
T 4
21.1%
C 4
21.1%
I 4
21.1%
S 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 43
93.5%
. 3
 
6.5%
Space Separator
ValueCountFrequency (%)
272
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Symbol
ValueCountFrequency (%)
㎡ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1170
73.4%
Common 405
 
25.4%
Latin 19
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
설 45
 
3.8%
기 44
 
3.8%
시 40
 
3.4%
보 32
 
2.7%
장 27
 
2.3%
스 20
 
1.7%
관 19
 
1.6%
및 19
 
1.6%
을 18
 
1.5%
개 18
 
1.5%
Other values (192) 888
75.9%
Common
ValueCountFrequency (%)
272
67.2%
, 43
 
10.6%
) 19
 
4.7%
( 19
 
4.7%
1 18
 
4.4%
- 12
 
3.0%
4 6
 
1.5%
. 3
 
0.7%
9 2
 
0.5%
㎡ 2
 
0.5%
Other values (6) 9
 
2.2%
Latin
ValueCountFrequency (%)
H 6
31.6%
T 4
21.1%
C 4
21.1%
I 4
21.1%
S 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1170
73.4%
ASCII 422
 
26.5%
CJK Compat 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
64.5%
, 43
 
10.2%
) 19
 
4.5%
( 19
 
4.5%
1 18
 
4.3%
- 12
 
2.8%
H 6
 
1.4%
4 6
 
1.4%
T 4
 
0.9%
C 4
 
0.9%
Other values (10) 19
 
4.5%
Hangul
ValueCountFrequency (%)
설 45
 
3.8%
기 44
 
3.8%
시 40
 
3.4%
보 32
 
2.7%
장 27
 
2.3%
스 20
 
1.7%
관 19
 
1.6%
및 19
 
1.6%
을 18
 
1.5%
개 18
 
1.5%
Other values (192) 888
75.9%
CJK Compat
ValueCountFrequency (%)
㎡ 2
100.0%

보조금 교부액
Real number (ℝ)

MISSING  ZEROS 

Distinct84
Distinct (%)50.6%
Missing96
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean13503849
Minimum0
Maximum1.2 × 108
Zeros15
Zeros (%)5.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:20.552200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13435000
median10000000
Q320000000
95-th percentile39800000
Maximum1.2 × 108
Range1.2 × 108
Interquartile range (IQR)16565000

Descriptive statistics

Standard deviation15347420
Coefficient of variation (CV)1.1365219
Kurtosis15.957029
Mean13503849
Median Absolute Deviation (MAD)7350000
Skewness3.1771608
Sum2.241639 × 109
Variance2.3554331 × 1014
MonotonicityNot monotonic
2023-12-13T01:51:20.767289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20000000 17
 
6.5%
0 15
 
5.7%
10000000 14
 
5.3%
10850000 8
 
3.1%
15000000 7
 
2.7%
6000000 5
 
1.9%
16500000 4
 
1.5%
1750000 4
 
1.5%
30000000 4
 
1.5%
21000000 4
 
1.5%
Other values (74) 84
32.1%
(Missing) 96
36.6%
ValueCountFrequency (%)
0 15
5.7%
475000 1
 
0.4%
825000 1
 
0.4%
1050000 1
 
0.4%
1144000 1
 
0.4%
1150000 1
 
0.4%
1480000 1
 
0.4%
1500000 1
 
0.4%
1680000 1
 
0.4%
1700000 1
 
0.4%
ValueCountFrequency (%)
120000000 1
 
0.4%
79500000 1
 
0.4%
71070000 1
 
0.4%
51600000 2
0.8%
41000000 1
 
0.4%
40000000 3
1.1%
39200000 1
 
0.4%
38035000 1
 
0.4%
35760000 1
 
0.4%
33055000 2
0.8%

자부담 교부액
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)42.2%
Missing96
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean5672923.6
Minimum0
Maximum63067000
Zeros72
Zeros (%)27.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:20.934477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1145000
Q37440000
95-th percentile24930000
Maximum63067000
Range63067000
Interquartile range (IQR)7440000

Descriptive statistics

Standard deviation9662516.3
Coefficient of variation (CV)1.7032693
Kurtosis11.408191
Mean5672923.6
Median Absolute Deviation (MAD)1145000
Skewness2.9974963
Sum9.4170531 × 108
Variance9.3364221 × 1013
MonotonicityNot monotonic
2023-12-13T01:51:21.117589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 72
27.5%
4650000 8
 
3.1%
6600000 4
 
1.5%
750000 4
 
1.5%
16500000 3
 
1.1%
4000000 2
 
0.8%
4500000 2
 
0.8%
40000000 2
 
0.8%
12800000 2
 
0.8%
6000000 2
 
0.8%
Other values (60) 65
24.8%
(Missing) 96
36.6%
ValueCountFrequency (%)
0 72
27.5%
450000 1
 
0.4%
475000 1
 
0.4%
720000 1
 
0.4%
750000 4
 
1.5%
825000 1
 
0.4%
900000 1
 
0.4%
960000 1
 
0.4%
1140000 1
 
0.4%
1150000 1
 
0.4%
ValueCountFrequency (%)
63067000 1
0.4%
51600000 1
0.4%
40000000 2
0.8%
33055000 1
0.4%
31800000 1
0.4%
28428000 1
0.4%
26400000 1
0.4%
26240000 1
0.4%
21000000 1
0.4%
18500000 1
0.4%

융자 교부액
Real number (ℝ)

MISSING  ZEROS 

Distinct19
Distinct (%)11.4%
Missing96
Missing (%)36.6%
Infinite0
Infinite (%)0.0%
Mean1822198.8
Minimum0
Maximum47700000
Zeros147
Zeros (%)56.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-13T01:51:21.320606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile14085000
Maximum47700000
Range47700000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6505435.7
Coefficient of variation (CV)3.5701021
Kurtosis25.265681
Mean1822198.8
Median Absolute Deviation (MAD)0
Skewness4.6896238
Sum3.02485 × 108
Variance4.2320693 × 1013
MonotonicityNot monotonic
2023-12-13T01:51:21.462649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0 147
56.1%
6000000 2
 
0.8%
14100000 1
 
0.4%
7200000 1
 
0.4%
22821000 1
 
0.4%
24000000 1
 
0.4%
4356000 1
 
0.4%
1950000 1
 
0.4%
3600000 1
 
0.4%
14760000 1
 
0.4%
Other values (9) 9
 
3.4%
(Missing) 96
36.6%
ValueCountFrequency (%)
0 147
56.1%
1950000 1
 
0.4%
3600000 1
 
0.4%
4356000 1
 
0.4%
6000000 2
 
0.8%
7200000 1
 
0.4%
9900000 1
 
0.4%
11760000 1
 
0.4%
12000000 1
 
0.4%
14040000 1
 
0.4%
ValueCountFrequency (%)
47700000 1
0.4%
42642000 1
0.4%
24000000 1
0.4%
22821000 1
0.4%
21456000 1
0.4%
19200000 1
0.4%
19000000 1
0.4%
14760000 1
0.4%
14100000 1
0.4%
14040000 1
0.4%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2023-08-14 00:00:00
Maximum2023-08-14 00:00:00
2023-12-13T01:51:21.593441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:51:21.691395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

회계년도부서명예산액재배정여부국비여부지급액(A)반납액(B)실지급액(C)보조사업명담당자보조율총사업비보조금 신청액자부담 신청액융자 신청액사업시작일사업종료일사업내용보조금 교부액자부담 교부액융자 교부액데이터기준일
02022건설과1978621000N없음126025387001260253870동복면연월3리마을회관보수공사이소라100.01000000010000000002022-02-072022-03-07<NA>10000000002023-08-14
12022농업기술센터102000000N없음102000000-412190101587810고추이상기상피해경감안정생산기술보급박지은70.07000000175000075000002022-01-012022-12-31<NA>175000075000002023-08-14
22022농업기술센터102000000N없음102000000-412190101587810고추이상기상피해경감안정생산기술보급박지은70.07000000175000075000002022-01-012022-12-31<NA>175000075000002023-08-14
32022농업기술센터102000000N없음102000000-412190101587810고추이상기상피해경감안정생산기술보급박지은70.07000000175000075000002022-01-012022-12-31<NA>175000075000002023-08-14
42022농업기술센터102000000N없음102000000-412190101587810고추이상기상피해경감안정생산기술보급박지은70.07000000175000075000002022-01-012022-12-31<NA>175000075000002023-08-14
52022농업기술센터323400000N없음323400000-9655140313744860기후변화대응여주터널재배시범박지은70.084004200000180000002022-01-012022-12-31<NA>4200000180000002023-08-14
62022농업기술센터323400000N없음323400000-9655140313744860기후변화대응여주터널재배시범박지은70.084004200000180000002022-01-012022-12-31<NA>4200000180000002023-08-14
72022건설과1978621000N없음126025387001260253870능주면경로당개보수공사이소라0.01000000010000000002022-04-012022-04-21<NA>10000000002023-08-14
82022건설과130888400N없음97880000097880000능주면백암1리정각보수공사이소라100.01000000010000000002022-04-152022-05-16<NA>10000000002023-08-14
92022농업기술센터102000000N없음102000000-412190101587810단동하우스보급형스마트팜단지조성시범최재혁60.0300000009900000660000002022-03-312022-12-31<NA>9900000660000002023-08-14
회계년도부서명예산액재배정여부국비여부지급액(A)반납액(B)실지급액(C)보조사업명담당자보조율총사업비보조금 신청액자부담 신청액융자 신청액사업시작일사업종료일사업내용보조금 교부액자부담 교부액융자 교부액데이터기준일
2522020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000002390000239000002020-01-012020-12-31시설하우스 개보수 (자동개폐기, 환풍기)4500000450000002023-08-14
2532020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000009060000906000002020-01-012020-12-31시설하우스 신축6000000600000002023-08-14
2542020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.068000000103500001035000002020-01-012020-12-31시설하우스 신축3300000330000002023-08-14
2552020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000001240000124000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-14
2562020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000002420000242000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-14
2572020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000005780000578000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-14
2582020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000006500000650000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-14
2592020농업정책과68000000N없음53563000053563000화훼농가경영비절감지원사업양준호50.0680000003000000300000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-14
2602020건설과2610639830N없음186112251001861122510동면동암마을마을회관신축공사최승필100.0100000000100000000002019-12-042020-03-02<NA>0002023-08-14
2612020농업기술센터40000000N없음40000000040000000전라남도으뜸청년농업인지원사업정다은93.04000000040000000291047002019-11-012020-06-30관수시설(스프링쿨러, 양액기)5403000540300002023-08-14

Duplicate rows

Most frequently occurring

회계년도부서명예산액재배정여부국비여부지급액(A)반납액(B)실지급액(C)보조사업명담당자보조율총사업비보조금 신청액자부담 신청액융자 신청액사업시작일사업종료일사업내용보조금 교부액자부담 교부액융자 교부액데이터기준일# duplicates
52022농업기술센터190000000N없음190000000-50460189949540아스파라거스수확후관리기술보급시범박지은70.08680000010850000465000002022-01-012022-12-31<NA>10850000465000002023-08-148
32022농업기술센터102000000N없음102000000-412190101587810고추이상기상피해경감안정생산기술보급박지은70.07000000175000075000002022-01-012022-12-31<NA>175000075000002023-08-144
22020농업정책과465525000N일부37732800003773280002020년농업에너지이용효율화지원사업양준호50.0465525000165000001650000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-143
02020농업기술센터200000000N없음229000000-32035600196964400기후변화대응아열대작목패션프루트단지조성박지은100.020000000016500000002020-02-082020-12-31<NA><NA><NA><NA>2023-08-142
12020농업정책과47250000N일부43872000043872000고추비가림재배시설지원사업양준호50.0440000007260000726000002020-01-012020-12-31<NA><NA><NA><NA>2023-08-142
42022농업기술센터102000000N없음102000000-412190101587810단동하우스보급형스마트팜단지조성시범최재혁60.0300000009900000660000002022-03-312022-12-31<NA>9900000660000002023-08-142
62022농업기술센터323400000N없음323400000-9655140313744860기후변화대응여주터널재배시범박지은70.084004200000180000002022-01-012022-12-31<NA>4200000180000002023-08-142