Overview

Dataset statistics

Number of variables7
Number of observations1915
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory108.6 KiB
Average record size in memory58.1 B

Variable types

Categorical2
Text4
Numeric1

Dataset

Description경상남도 지방보조금 보조사업예산비목정보DB입니다. 보조사업 예산비목에 대한 정보를 포함하고 있습니다( 대분류명, 중분류명, 예산비목설명 )
Author경상남도
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15039723

Alerts

예산액 has 384 (20.1%) zerosZeros

Reproduction

Analysis started2023-12-10 23:18:24.952210
Analysis finished2023-12-10 23:18:26.232923
Duration1.28 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계년도
Categorical

Distinct5
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2022
451 
2019
419 
2020
380 
2021
346 
2018
319 

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 (%)
2022 451
23.6%
2019 419
21.9%
2020 380
19.8%
2021 346
18.1%
2018 319
16.7%

Length

2023-12-11T08:18:26.299617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:26.404466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 451
23.6%
2019 419
21.9%
2020 380
19.8%
2021 346
18.1%
2018 319
16.7%

부서명
Text

Distinct64
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T08:18:26.617527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.0804178
Min length3

Characters and Unicode

Total characters9729
Distinct characters117
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)0.4%

Sample

1st row서울세종본부
2nd row행정과
3rd row행정과
4th row행정과
5th row문화예술과
ValueCountFrequency (%)
문화예술과 298
15.3%
행정과 216
 
11.1%
복지정책과 162
 
8.3%
여성정책과 138
 
7.1%
체육지원과 82
 
4.2%
기업정책과 78
 
4.0%
가족지원과 76
 
3.9%
노인복지과 73
 
3.7%
장애인복지과 70
 
3.6%
농식품유통과 40
 
2.1%
Other values (55) 716
36.7%
2023-12-11T08:18:27.044725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1844
19.0%
정 776
 
8.0%
책 540
 
5.6%
지 517
 
5.3%
술 337
 
3.5%
문 316
 
3.2%
화 316
 
3.2%
복 305
 
3.1%
예 299
 
3.1%
원 269
 
2.8%
Other values (107) 4210
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9695
99.7%
Space Separator 34
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1844
19.0%
정 776
 
8.0%
책 540
 
5.6%
지 517
 
5.3%
술 337
 
3.5%
문 316
 
3.3%
화 316
 
3.3%
복 305
 
3.1%
예 299
 
3.1%
원 269
 
2.8%
Other values (106) 4176
43.1%
Space Separator
ValueCountFrequency (%)
34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9695
99.7%
Common 34
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1844
19.0%
정 776
 
8.0%
책 540
 
5.6%
지 517
 
5.3%
술 337
 
3.5%
문 316
 
3.3%
화 316
 
3.3%
복 305
 
3.1%
예 299
 
3.1%
원 269
 
2.8%
Other values (106) 4176
43.1%
Common
ValueCountFrequency (%)
34
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9695
99.7%
ASCII 34
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1844
19.0%
정 776
 
8.0%
책 540
 
5.6%
지 517
 
5.3%
술 337
 
3.5%
문 316
 
3.3%
화 316
 
3.3%
복 305
 
3.1%
예 299
 
3.1%
원 269
 
2.8%
Other values (106) 4176
43.1%
ASCII
ValueCountFrequency (%)
34
100.0%

정책사업명
Text

Distinct97
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T08:18:27.343526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length17
Mean length10.150914
Min length4

Characters and Unicode

Total characters19439
Distinct characters178
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.5%

Sample

1st row도정활동 지원
2nd row자치행정 역량 강화
3rd row자치행정 역량 강화
4th row자치행정 역량 강화
5th row문화예술 진흥
ValueCountFrequency (%)
및 557
 
9.9%
지원 333
 
5.9%
진흥 301
 
5.4%
문화예술 295
 
5.3%
관리 277
 
4.9%
국가 271
 
4.8%
보훈 271
 
4.8%
육성 229
 
4.1%
강화 165
 
2.9%
촉진 102
 
1.8%
Other values (160) 2811
50.1%
2023-12-11T08:18:27.781094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3697
 
19.0%
지 789
 
4.1%
화 726
 
3.7%
진 581
 
3.0%
성 578
 
3.0%
및 557
 
2.9%
원 450
 
2.3%
육 420
 
2.2%
보 409
 
2.1%
정 393
 
2.0%
Other values (168) 10839
55.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15742
81.0%
Space Separator 3697
 
19.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 789
 
5.0%
화 726
 
4.6%
진 581
 
3.7%
성 578
 
3.7%
및 557
 
3.5%
원 450
 
2.9%
육 420
 
2.7%
보 409
 
2.6%
정 393
 
2.5%
문 378
 
2.4%
Other values (167) 10461
66.5%
Space Separator
ValueCountFrequency (%)
3697
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15742
81.0%
Common 3697
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 789
 
5.0%
화 726
 
4.6%
진 581
 
3.7%
성 578
 
3.7%
및 557
 
3.5%
원 450
 
2.9%
육 420
 
2.7%
보 409
 
2.6%
정 393
 
2.5%
문 378
 
2.4%
Other values (167) 10461
66.5%
Common
ValueCountFrequency (%)
3697
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15742
81.0%
ASCII 3697
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3697
100.0%
Hangul
ValueCountFrequency (%)
지 789
 
5.0%
화 726
 
4.6%
진 581
 
3.7%
성 578
 
3.7%
및 557
 
3.5%
원 450
 
2.9%
육 420
 
2.7%
보 409
 
2.6%
정 393
 
2.5%
문 378
 
2.4%
Other values (167) 10461
66.5%

단위사업명
Text

Distinct160
Distinct (%)8.4%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T08:18:28.080899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length9.8600522
Min length4

Characters and Unicode

Total characters18882
Distinct characters218
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)1.0%

Sample

1st row재경 경남도민회지 발간
2nd row주민협력 사업추진
3rd row주민협력 사업추진
4th row주민협력 사업추진
5th row문화산업 육성
ValueCountFrequency (%)
지원 584
 
11.8%
및 329
 
6.7%
보훈단체 271
 
5.5%
강화 224
 
4.5%
육성 206
 
4.2%
활성화 192
 
3.9%
예술진흥 177
 
3.6%
기반 78
 
1.6%
조성 72
 
1.5%
장애인 62
 
1.3%
Other values (251) 2735
55.5%
2023-12-11T08:18:28.775740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3015
 
16.0%
지 803
 
4.3%
성 764
 
4.0%
원 631
 
3.3%
화 625
 
3.3%
활 411
 
2.2%
기 392
 
2.1%
진 380
 
2.0%
인 367
 
1.9%
보 359
 
1.9%
Other values (208) 11135
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15811
83.7%
Space Separator 3015
 
16.0%
Other Punctuation 29
 
0.2%
Uppercase Letter 21
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 803
 
5.1%
성 764
 
4.8%
원 631
 
4.0%
화 625
 
4.0%
활 411
 
2.6%
기 392
 
2.5%
진 380
 
2.4%
인 367
 
2.3%
보 359
 
2.3%
육 348
 
2.2%
Other values (199) 10731
67.9%
Uppercase Letter
ValueCountFrequency (%)
T 7
33.3%
A 5
23.8%
F 5
23.8%
C 2
 
9.5%
I 2
 
9.5%
Space Separator
ValueCountFrequency (%)
3015
100.0%
Other Punctuation
ValueCountFrequency (%)
· 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15811
83.7%
Common 3050
 
16.2%
Latin 21
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 803
 
5.1%
성 764
 
4.8%
원 631
 
4.0%
화 625
 
4.0%
활 411
 
2.6%
기 392
 
2.5%
진 380
 
2.4%
인 367
 
2.3%
보 359
 
2.3%
육 348
 
2.2%
Other values (199) 10731
67.9%
Latin
ValueCountFrequency (%)
T 7
33.3%
A 5
23.8%
F 5
23.8%
C 2
 
9.5%
I 2
 
9.5%
Common
ValueCountFrequency (%)
3015
98.9%
· 29
 
1.0%
) 3
 
0.1%
( 3
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15811
83.7%
ASCII 3042
 
16.1%
None 29
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3015
99.1%
T 7
 
0.2%
A 5
 
0.2%
F 5
 
0.2%
) 3
 
0.1%
( 3
 
0.1%
C 2
 
0.1%
I 2
 
0.1%
Hangul
ValueCountFrequency (%)
지 803
 
5.1%
성 764
 
4.8%
원 631
 
4.0%
화 625
 
4.0%
활 411
 
2.6%
기 392
 
2.5%
진 380
 
2.4%
인 367
 
2.3%
보 359
 
2.3%
육 348
 
2.2%
Other values (199) 10731
67.9%
None
ValueCountFrequency (%)
· 29
100.0%

세부사업명
Text

Distinct531
Distinct (%)27.7%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
2023-12-11T08:18:29.014414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length13.853786
Min length5

Characters and Unicode

Total characters26530
Distinct characters440
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique162 ?
Unique (%)8.5%

Sample

1st row재경 경남도민회지 발간지원
2nd row민간단체 지원
3rd row민간단체 지원
4th row민간단체 지원
5th row공예조합 육성
ValueCountFrequency (%)
지원 632
 
11.1%
및 161
 
2.8%
운영 101
 
1.8%
활성화 72
 
1.3%
사업 68
 
1.2%
행사 66
 
1.2%
경남 48
 
0.8%
운영지원 46
 
0.8%
육성 44
 
0.8%
경상남도 41
 
0.7%
Other values (945) 4430
77.6%
2023-12-11T08:18:29.371218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3794
 
14.3%
지 1340
 
5.1%
원 1160
 
4.4%
사 724
 
2.7%
업 507
 
1.9%
경 496
 
1.9%
회 474
 
1.8%
인 407
 
1.5%
전 367
 
1.4%
남 356
 
1.3%
Other values (430) 16905
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21522
81.1%
Space Separator 3794
 
14.3%
Open Punctuation 310
 
1.2%
Close Punctuation 310
 
1.2%
Decimal Number 293
 
1.1%
Other Punctuation 163
 
0.6%
Uppercase Letter 112
 
0.4%
Lowercase Letter 17
 
0.1%
Dash Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 1340
 
6.2%
원 1160
 
5.4%
사 724
 
3.4%
업 507
 
2.4%
경 496
 
2.3%
회 474
 
2.2%
인 407
 
1.9%
전 367
 
1.7%
남 356
 
1.7%
자 349
 
1.6%
Other values (384) 15342
71.3%
Uppercase Letter
ValueCountFrequency (%)
A 14
12.5%
T 13
11.6%
C 13
11.6%
F 13
11.6%
D 12
10.7%
R 9
8.0%
S 6
 
5.4%
O 6
 
5.4%
Y 5
 
4.5%
H 5
 
4.5%
Other values (7) 16
14.3%
Lowercase Letter
ValueCountFrequency (%)
a 3
17.6%
t 2
11.8%
r 2
11.8%
m 2
11.8%
n 2
11.8%
e 2
11.8%
y 1
 
5.9%
o 1
 
5.9%
g 1
 
5.9%
k 1
 
5.9%
Decimal Number
ValueCountFrequency (%)
5 82
28.0%
2 80
27.3%
6 75
25.6%
1 24
 
8.2%
3 17
 
5.8%
0 7
 
2.4%
4 5
 
1.7%
9 2
 
0.7%
8 1
 
0.3%
Other Punctuation
ValueCountFrequency (%)
. 82
50.3%
· 49
30.1%
" 22
 
13.5%
& 5
 
3.1%
' 4
 
2.5%
, 1
 
0.6%
Space Separator
ValueCountFrequency (%)
3794
100.0%
Open Punctuation
ValueCountFrequency (%)
( 310
100.0%
Close Punctuation
ValueCountFrequency (%)
) 310
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21520
81.1%
Common 4879
 
18.4%
Latin 129
 
0.5%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 1340
 
6.2%
원 1160
 
5.4%
사 724
 
3.4%
업 507
 
2.4%
경 496
 
2.3%
회 474
 
2.2%
인 407
 
1.9%
전 367
 
1.7%
남 356
 
1.7%
자 349
 
1.6%
Other values (383) 15340
71.3%
Latin
ValueCountFrequency (%)
A 14
10.9%
T 13
 
10.1%
C 13
 
10.1%
F 13
 
10.1%
D 12
 
9.3%
R 9
 
7.0%
S 6
 
4.7%
O 6
 
4.7%
Y 5
 
3.9%
H 5
 
3.9%
Other values (17) 33
25.6%
Common
ValueCountFrequency (%)
3794
77.8%
( 310
 
6.4%
) 310
 
6.4%
. 82
 
1.7%
5 82
 
1.7%
2 80
 
1.6%
6 75
 
1.5%
· 49
 
1.0%
1 24
 
0.5%
" 22
 
0.5%
Other values (9) 51
 
1.0%
Han
ValueCountFrequency (%)
展 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21520
81.1%
ASCII 4959
 
18.7%
None 49
 
0.2%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3794
76.5%
( 310
 
6.3%
) 310
 
6.3%
. 82
 
1.7%
5 82
 
1.7%
2 80
 
1.6%
6 75
 
1.5%
1 24
 
0.5%
" 22
 
0.4%
3 17
 
0.3%
Other values (35) 163
 
3.3%
Hangul
ValueCountFrequency (%)
지 1340
 
6.2%
원 1160
 
5.4%
사 724
 
3.4%
업 507
 
2.4%
경 496
 
2.3%
회 474
 
2.2%
인 407
 
1.9%
전 367
 
1.7%
남 356
 
1.7%
자 349
 
1.6%
Other values (383) 15340
71.3%
None
ValueCountFrequency (%)
· 49
100.0%
CJK
ValueCountFrequency (%)
展 2
100.0%

통계목명
Categorical

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size15.1 KiB
민간경상사업보조
793 
민간행사사업보조
709 
사회복지사업보조
222 
민간단체법정운영비보조
86 
민간자본사업보조(자체재원)
 
62
Other values (3)
 
43

Length

Max length14
Median length8
Mean length8.429765
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row민간경상사업보조
2nd row민간경상사업보조
3rd row민간단체법정운영비보조
4th row민간행사사업보조
5th row민간경상사업보조

Common Values

ValueCountFrequency (%)
민간경상사업보조 793
41.4%
민간행사사업보조 709
37.0%
사회복지사업보조 222
 
11.6%
민간단체법정운영비보조 86
 
4.5%
민간자본사업보조(자체재원) 62
 
3.2%
사회복지시설법정운영비보조 30
 
1.6%
민간자본사업보조(이전재원) 8
 
0.4%
운수업계보조금 5
 
0.3%

Length

2023-12-11T08:18:29.502514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:18:29.613716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간경상사업보조 793
41.4%
민간행사사업보조 709
37.0%
사회복지사업보조 222
 
11.6%
민간단체법정운영비보조 86
 
4.5%
민간자본사업보조(자체재원 62
 
3.2%
사회복지시설법정운영비보조 30
 
1.6%
민간자본사업보조(이전재원 8
 
0.4%
운수업계보조금 5
 
0.3%

예산액
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.2902593 × 108
Minimum0
Maximum2.6654 × 1010
Zeros384
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size17.0 KiB
2023-12-11T08:18:29.754665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16000000
median20000000
Q380000000
95-th percentile6.62 × 108
Maximum2.6654 × 1010
Range2.6654 × 1010
Interquartile range (IQR)74000000

Descriptive statistics

Standard deviation1.3833845 × 109
Coefficient of variation (CV)6.0402963
Kurtosis159.92574
Mean2.2902593 × 108
Median Absolute Deviation (MAD)20000000
Skewness11.859014
Sum4.3858466 × 1011
Variance1.9137526 × 1018
MonotonicityNot monotonic
2023-12-11T08:18:29.903196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 384
20.1%
10000000 161
 
8.4%
20000000 88
 
4.6%
30000000 86
 
4.5%
15000000 57
 
3.0%
5000000 54
 
2.8%
50000000 52
 
2.7%
100000000 34
 
1.8%
80000000 32
 
1.7%
25000000 31
 
1.6%
Other values (404) 936
48.9%
ValueCountFrequency (%)
0 384
20.1%
495000 1
 
0.1%
561000 1
 
0.1%
1254000 1
 
0.1%
1400000 1
 
0.1%
2472000 1
 
0.1%
2500000 1
 
0.1%
2700000 3
 
0.2%
3000000 5
 
0.3%
3200000 1
 
0.1%
ValueCountFrequency (%)
26654000000 1
0.1%
19000000000 2
0.1%
16723767000 1
0.1%
16557101000 1
0.1%
16048587000 1
0.1%
15426387000 1
0.1%
14897830000 1
0.1%
14219300000 1
0.1%
11000000000 1
0.1%
10809000000 1
0.1%

Interactions

2023-12-11T08:18:25.887667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:18:29.987593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계년도부서명정책사업명통계목명예산액
회계년도1.0000.4600.4990.0620.000
부서명0.4601.0000.9990.8050.616
정책사업명0.4990.9991.0000.8490.536
통계목명0.0620.8050.8491.0000.711
예산액0.0000.6160.5360.7111.000
2023-12-11T08:18:30.067907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회계년도통계목명
회계년도1.0000.038
통계목명0.0381.000
2023-12-11T08:18:30.155110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예산액회계년도통계목명
예산액1.0000.0000.308
회계년도0.0001.0000.038
통계목명0.3080.0381.000

Missing values

2023-12-11T08:18:26.024673image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:18:26.173996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

회계년도부서명정책사업명단위사업명세부사업명통계목명예산액
02022서울세종본부도정활동 지원재경 경남도민회지 발간재경 경남도민회지 발간지원민간경상사업보조38000000
12022행정과자치행정 역량 강화주민협력 사업추진민간단체 지원민간경상사업보조789500000
22022행정과자치행정 역량 강화주민협력 사업추진민간단체 지원민간단체법정운영비보조189000000
32022행정과자치행정 역량 강화주민협력 사업추진민간단체 지원민간행사사업보조217500000
42022문화예술과문화예술 진흥문화산업 육성공예조합 육성민간경상사업보조72000000
52022문화예술과문화예술 진흥문화산업 육성공예조합 육성민간행사사업보조80000000
62022문화예술과문화예술 진흥문화산업 육성경남 공예품대전 개최민간행사사업보조34500000
72022친환경농업과농가 소득 안정고품질 식량 생산 지원쌀 전업농 육성민간경상사업보조4500000
82022친환경농업과농가 소득 안정고품질 식량 생산 지원쌀 전업농 육성민간행사사업보조24000000
92022관광진흥과관광산업 육성관광정책 육성관광객 유치활동 기획 및 전개민간경상사업보조70500000
회계년도부서명정책사업명단위사업명세부사업명통계목명예산액
19052018문화예술과문화예술 진흥문화기반강화경남 홍보 및 지역 출판산업 활성화민간경상사업보조40000000
19062018문화예술과문화예술 진흥예술진흥활성화찾아가는 전통 연희민간행사사업보조50000000
19072018기업지원과경남 우수중소기업 육성기업경쟁력 강화 지원세대융합 창업캠퍼스 지원사업(국가직접지원)민간경상사업보조210000000
19082018사회적경제과지역공동체 활성화(예비)사회적기업 지원사회적기업 생태계 조성 및 육성민간경상사업보조260000000
19092018교통정책과선진 일류 교통행정 구현대중교통 육성시외버스 교통카드 통신비 지원민간경상사업보조96500000
19102018교통정책과선진 일류 교통행정 구현대중교통 육성시외버스 대폐차비 지원민간자본사업보조(자체재원)218750000
19112018환경정책과자연생태계 복원 및 생물다양성 보전습지보전관리화포천 습지 아우름길 걷기 행사 지원민간행사사업보조70000000
19122018기업정책과지역경제 활성화소상공인 창업 및 경영개선 지원노란우산공제 희망장려금 지급민간경상사업보조154000000
19132018경제인력과일자리개선일자리 질 제고경남 청년내일채움공제 지원사업민간경상사업보조683000000
19142018농식품유통과농산물 유통 관리농산물 소비촉진직거래 활성화(국가직접지원)민간자본사업보조(자체재원)180000000