Overview

Dataset statistics

Number of variables21
Number of observations7002
Missing cells7771
Missing cells (%)5.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 MiB
Average record size in memory179.0 B

Variable types

Numeric9
Categorical4
Text4
Unsupported1
DateTime3

Dataset

Description부산광역시해운대구_재정정보공개시스템_세부사업별예산현액및지출액_20210126
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050175

Alerts

수입대체경비 has constant value ""Constant
회계구분 is highly imbalanced (88.1%)Imbalance
시군구비 has 7002 (100.0%) missing valuesMissing
마지막지급일자 has 737 (10.5%) missing valuesMissing
예산현액 is highly skewed (γ1 = 20.54348344)Skewed
국비 is highly skewed (γ1 = 25.7506362)Skewed
지출액 is highly skewed (γ1 = 21.14315421)Skewed
편성액 is highly skewed (γ1 = 20.66571997)Skewed
변경금액 is highly skewed (γ1 = -59.30299879)Skewed
시군구비 is an unsupported type, check if it needs cleaning or further analysisUnsupported
예산현액 has 98 (1.4%) zerosZeros
국비 has 5415 (77.3%) zerosZeros
도비 has 4448 (63.5%) zerosZeros
지출액 has 383 (5.5%) zerosZeros
편성액 has 276 (3.9%) zerosZeros
이월액 has 6570 (93.8%) zerosZeros
변경금액 has 6790 (97.0%) zerosZeros
시군구예산액 has 1569 (22.4%) zerosZeros

Reproduction

Analysis started2023-12-10 16:46:03.071120
Analysis finished2023-12-10 16:46:04.339801
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

회계연도
Real number (ℝ)

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2017.407
Minimum2015
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:04.394896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2015
5-th percentile2015
Q12016
median2017
Q32019
95-th percentile2020
Maximum2020
Range5
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.606122
Coefficient of variation (CV)0.00079613185
Kurtosis-1.1677499
Mean2017.407
Median Absolute Deviation (MAD)1
Skewness-0.013891504
Sum14125884
Variance2.5796278
MonotonicityNot monotonic
2023-12-11T01:46:04.539148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2019 1385
19.8%
2018 1297
18.5%
2017 1276
18.2%
2016 1166
16.7%
2015 1137
16.2%
2020 741
10.6%
ValueCountFrequency (%)
2015 1137
16.2%
2016 1166
16.7%
2017 1276
18.2%
2018 1297
18.5%
2019 1385
19.8%
2020 741
10.6%
ValueCountFrequency (%)
2020 741
10.6%
2019 1385
19.8%
2018 1297
18.5%
2017 1276
18.2%
2016 1166
16.7%
2015 1137
16.2%

회계구분
Categorical

IMBALANCE 

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
일반회계
6599 
주차장특별회계
 
192
사회복지기금
 
55
의료급여기금특별회계
 
32
식품진흥기금
 
17
Other values (11)
 
107

Length

Max length15
Median length4
Mean length4.1969437
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반회계 6599
94.2%
주차장특별회계 192
 
2.7%
사회복지기금 55
 
0.8%
의료급여기금특별회계 32
 
0.5%
식품진흥기금 17
 
0.2%
지하수관리특별회계 16
 
0.2%
재난관리기금 14
 
0.2%
발전소주변지역지원사업특별회계 13
 
0.2%
기반시설특별회계 12
 
0.2%
자활기금 11
 
0.2%
Other values (6) 41
 
0.6%

Length

2023-12-11T01:46:04.689841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일반회계 6599
94.2%
주차장특별회계 192
 
2.7%
사회복지기금 55
 
0.8%
의료급여기금특별회계 32
 
0.5%
식품진흥기금 17
 
0.2%
지하수관리특별회계 16
 
0.2%
재난관리기금 14
 
0.2%
발전소주변지역지원사업특별회계 13
 
0.2%
기반시설특별회계 12
 
0.2%
자활기금 11
 
0.2%
Other values (6) 41
 
0.6%

부서명
Text

Distinct62
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
2023-12-11T01:46:05.012143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.8544702
Min length3

Characters and Unicode

Total characters33991
Distinct characters99
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

Unique0 ?
Unique (%)0.0%

Sample

1st row도시디자인과
2nd row관광문화과
3rd row관광문화과
4th row도시디자인과
5th row도시디자인과
ValueCountFrequency (%)
행복나눔과 724
 
10.3%
복지정책과 499
 
7.1%
건설과 330
 
4.7%
보건정책과 305
 
4.4%
늘푸른과 292
 
4.2%
교육협력과 282
 
4.0%
관광문화과 278
 
4.0%
가족복지과 252
 
3.6%
행정지원과 243
 
3.5%
교통행정과 229
 
3.3%
Other values (52) 3568
51.0%
2023-12-11T01:46:05.586766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 5558
 
16.4%
복 1805
 
5.3%
정 1566
 
4.6%
지 1379
 
4.1%
행 1268
 
3.7%
건 936
 
2.8%
책 804
 
2.4%
관 766
 
2.3%
동 753
 
2.2%
눔 724
 
2.1%
Other values (89) 18432
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33171
97.6%
Decimal Number 820
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 5558
 
16.8%
복 1805
 
5.4%
정 1566
 
4.7%
지 1379
 
4.2%
행 1268
 
3.8%
건 936
 
2.8%
책 804
 
2.4%
관 766
 
2.3%
동 753
 
2.3%
눔 724
 
2.2%
Other values (85) 17612
53.1%
Decimal Number
ValueCountFrequency (%)
1 318
38.8%
2 305
37.2%
3 120
 
14.6%
4 77
 
9.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33171
97.6%
Common 820
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 5558
 
16.8%
복 1805
 
5.4%
정 1566
 
4.7%
지 1379
 
4.2%
행 1268
 
3.8%
건 936
 
2.8%
책 804
 
2.4%
관 766
 
2.3%
동 753
 
2.3%
눔 724
 
2.2%
Other values (85) 17612
53.1%
Common
ValueCountFrequency (%)
1 318
38.8%
2 305
37.2%
3 120
 
14.6%
4 77
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33171
97.6%
ASCII 820
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 5558
 
16.8%
복 1805
 
5.4%
정 1566
 
4.7%
지 1379
 
4.2%
행 1268
 
3.8%
건 936
 
2.8%
책 804
 
2.4%
관 766
 
2.3%
동 753
 
2.3%
눔 724
 
2.2%
Other values (85) 17612
53.1%
ASCII
ValueCountFrequency (%)
1 318
38.8%
2 305
37.2%
3 120
 
14.6%
4 77
 
9.4%

정책사업명
Text

Distinct235
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
2023-12-11T01:46:06.077899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length9.6725221
Min length3

Characters and Unicode

Total characters67727
Distinct characters223
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.2%

Sample

1st row도로관리
2nd row지역문화축제로 융성한 문화도시 조성
3rd row지역문화축제로 융성한 문화도시 조성
4th row광고물관리
5th row광고물관리
ValueCountFrequency (%)
지원 859
 
5.2%
및 783
 
4.7%
조성 689
 
4.2%
사업경비 646
 
3.9%
육성 467
 
2.8%
관리 415
 
2.5%
보육가족지원 354
 
2.1%
건강 319
 
1.9%
장애인 282
 
1.7%
자립기반 282
 
1.7%
Other values (314) 11488
69.3%
2023-12-11T01:46:06.870348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9582
 
14.1%
지 2879
 
4.3%
원 1711
 
2.5%
정 1572
 
2.3%
성 1445
 
2.1%
비 1373
 
2.0%
경 1341
 
2.0%
관 1302
 
1.9%
동 1206
 
1.8%
운 1115
 
1.6%
Other values (213) 44201
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55847
82.5%
Space Separator 9582
 
14.1%
Decimal Number 731
 
1.1%
Open Punctuation 634
 
0.9%
Close Punctuation 634
 
0.9%
Other Punctuation 239
 
0.4%
Dash Punctuation 30
 
< 0.1%
Uppercase Letter 30
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2879
 
5.2%
원 1711
 
3.1%
정 1572
 
2.8%
성 1445
 
2.6%
비 1373
 
2.5%
경 1341
 
2.4%
관 1302
 
2.3%
동 1206
 
2.2%
운 1115
 
2.0%
리 1051
 
1.9%
Other values (203) 40852
73.1%
Decimal Number
ValueCountFrequency (%)
1 276
37.8%
2 258
35.3%
3 120
16.4%
4 77
 
10.5%
Space Separator
ValueCountFrequency (%)
9582
100.0%
Open Punctuation
ValueCountFrequency (%)
( 634
100.0%
Close Punctuation
ValueCountFrequency (%)
) 634
100.0%
Other Punctuation
ValueCountFrequency (%)
· 239
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 30
100.0%
Uppercase Letter
ValueCountFrequency (%)
U 30
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55847
82.5%
Common 11850
 
17.5%
Latin 30
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2879
 
5.2%
원 1711
 
3.1%
정 1572
 
2.8%
성 1445
 
2.6%
비 1373
 
2.5%
경 1341
 
2.4%
관 1302
 
2.3%
동 1206
 
2.2%
운 1115
 
2.0%
리 1051
 
1.9%
Other values (203) 40852
73.1%
Common
ValueCountFrequency (%)
9582
80.9%
( 634
 
5.4%
) 634
 
5.4%
1 276
 
2.3%
2 258
 
2.2%
· 239
 
2.0%
3 120
 
1.0%
4 77
 
0.6%
- 30
 
0.3%
Latin
ValueCountFrequency (%)
U 30
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55847
82.5%
ASCII 11641
 
17.2%
None 239
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9582
82.3%
( 634
 
5.4%
) 634
 
5.4%
1 276
 
2.4%
2 258
 
2.2%
3 120
 
1.0%
4 77
 
0.7%
- 30
 
0.3%
U 30
 
0.3%
Hangul
ValueCountFrequency (%)
지 2879
 
5.2%
원 1711
 
3.1%
정 1572
 
2.8%
성 1445
 
2.6%
비 1373
 
2.5%
경 1341
 
2.4%
관 1302
 
2.3%
동 1206
 
2.2%
운 1115
 
2.0%
리 1051
 
1.9%
Other values (203) 40852
73.1%
None
ValueCountFrequency (%)
· 239
100.0%

단위사업명
Text

Distinct295
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
2023-12-11T01:46:07.375831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.2136532
Min length3

Characters and Unicode

Total characters64514
Distinct characters279
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)0.3%

Sample

1st row도로부지관리
2nd row문화예술 기반 확충
3rd row문화향유공간 및 문화기반시설 조성
4th row옥외광고물 관리
5th row옥외광고물 관리
ValueCountFrequency (%)
지원 1261
 
7.8%
및 814
 
5.1%
관리 695
 
4.3%
운영 617
 
3.8%
기초사무수행 472
 
2.9%
지방행정 472
 
2.9%
기본경비 282
 
1.8%
장애인 282
 
1.8%
구축 247
 
1.5%
추진 236
 
1.5%
Other values (434) 10722
66.6%
2023-12-11T01:46:08.109208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9117
 
14.1%
지 3014
 
4.7%
원 1959
 
3.0%
사 1781
 
2.8%
정 1553
 
2.4%
기 1512
 
2.3%
리 1465
 
2.3%
관 1460
 
2.3%
행 1203
 
1.9%
활 959
 
1.5%
Other values (269) 40491
62.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55114
85.4%
Space Separator 9117
 
14.1%
Other Punctuation 172
 
0.3%
Uppercase Letter 48
 
0.1%
Open Punctuation 30
 
< 0.1%
Close Punctuation 30
 
< 0.1%
Decimal Number 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3014
 
5.5%
원 1959
 
3.6%
사 1781
 
3.2%
정 1553
 
2.8%
기 1512
 
2.7%
리 1465
 
2.7%
관 1460
 
2.6%
행 1203
 
2.2%
활 959
 
1.7%
수 940
 
1.7%
Other values (261) 39268
71.2%
Uppercase Letter
ValueCountFrequency (%)
H 16
33.3%
W 16
33.3%
O 16
33.3%
Space Separator
ValueCountFrequency (%)
9117
100.0%
Other Punctuation
ValueCountFrequency (%)
· 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 30
100.0%
Close Punctuation
ValueCountFrequency (%)
) 30
100.0%
Decimal Number
ValueCountFrequency (%)
2 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 55114
85.4%
Common 9352
 
14.5%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3014
 
5.5%
원 1959
 
3.6%
사 1781
 
3.2%
정 1553
 
2.8%
기 1512
 
2.7%
리 1465
 
2.7%
관 1460
 
2.6%
행 1203
 
2.2%
활 959
 
1.7%
수 940
 
1.7%
Other values (261) 39268
71.2%
Common
ValueCountFrequency (%)
9117
97.5%
· 172
 
1.8%
( 30
 
0.3%
) 30
 
0.3%
2 3
 
< 0.1%
Latin
ValueCountFrequency (%)
H 16
33.3%
W 16
33.3%
O 16
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 55114
85.4%
ASCII 9228
 
14.3%
None 172
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9117
98.8%
( 30
 
0.3%
) 30
 
0.3%
H 16
 
0.2%
W 16
 
0.2%
O 16
 
0.2%
2 3
 
< 0.1%
Hangul
ValueCountFrequency (%)
지 3014
 
5.5%
원 1959
 
3.6%
사 1781
 
3.2%
정 1553
 
2.8%
기 1512
 
2.7%
리 1465
 
2.7%
관 1460
 
2.6%
행 1203
 
2.2%
활 959
 
1.7%
수 940
 
1.7%
Other values (261) 39268
71.2%
None
ValueCountFrequency (%)
· 172
100.0%

세부사업명
Text

Distinct2064
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
2023-12-11T01:46:08.717404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length27
Mean length11.251214
Min length2

Characters and Unicode

Total characters78781
Distinct characters554
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique742 ?
Unique (%)10.6%

Sample

1st row국공유재산(도로)관리
2nd row소년소녀합창단 운영
3rd row달맞이어울마당 관리
4th row광고물심의위원회 운영
5th row광고업자 관리
ValueCountFrequency (%)
지원 1253
 
7.0%
운영 1140
 
6.3%
관리 488
 
2.7%
및 454
 
2.5%
기본경비 274
 
1.5%
청사 173
 
1.0%
사업 172
 
1.0%
등 154
 
0.9%
주민자치회 127
 
0.7%
정비 127
 
0.7%
Other values (2696) 13660
75.8%
2023-12-11T01:46:09.435863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11029
 
14.0%
지 3008
 
3.8%
원 2444
 
3.1%
사 1922
 
2.4%
운 1762
 
2.2%
영 1691
 
2.1%
비 1449
 
1.8%
관 1424
 
1.8%
리 1389
 
1.8%
업 1115
 
1.4%
Other values (544) 51548
65.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66004
83.8%
Space Separator 11029
 
14.0%
Close Punctuation 446
 
0.6%
Open Punctuation 446
 
0.6%
Decimal Number 339
 
0.4%
Other Punctuation 276
 
0.4%
Uppercase Letter 175
 
0.2%
Dash Punctuation 25
 
< 0.1%
Lowercase Letter 23
 
< 0.1%
Math Symbol 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 3008
 
4.6%
원 2444
 
3.7%
사 1922
 
2.9%
운 1762
 
2.7%
영 1691
 
2.6%
비 1449
 
2.2%
관 1424
 
2.2%
리 1389
 
2.1%
업 1115
 
1.7%
시 978
 
1.5%
Other values (493) 48822
74.0%
Uppercase Letter
ValueCountFrequency (%)
C 28
16.0%
P 23
13.1%
E 21
12.0%
I 17
9.7%
T 16
9.1%
V 14
8.0%
D 13
7.4%
L 13
7.4%
A 12
6.9%
U 5
 
2.9%
Other values (10) 13
7.4%
Decimal Number
ValueCountFrequency (%)
2 99
29.2%
1 73
21.5%
3 68
20.1%
0 22
 
6.5%
4 22
 
6.5%
9 15
 
4.4%
7 12
 
3.5%
8 11
 
3.2%
5 9
 
2.7%
6 8
 
2.4%
Lowercase Letter
ValueCountFrequency (%)
o 13
56.5%
l 6
26.1%
r 1
 
4.3%
a 1
 
4.3%
y 1
 
4.3%
b 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
· 186
67.4%
, 83
30.1%
. 4
 
1.4%
& 3
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 414
92.8%
』 29
 
6.5%
」 3
 
0.7%
Open Punctuation
ValueCountFrequency (%)
( 414
92.8%
『 29
 
6.5%
「 3
 
0.7%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%
Space Separator
ValueCountFrequency (%)
11029
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66004
83.8%
Common 12575
 
16.0%
Latin 202
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 3008
 
4.6%
원 2444
 
3.7%
사 1922
 
2.9%
운 1762
 
2.7%
영 1691
 
2.6%
비 1449
 
2.2%
관 1424
 
2.2%
리 1389
 
2.1%
업 1115
 
1.7%
시 978
 
1.5%
Other values (493) 48822
74.0%
Latin
ValueCountFrequency (%)
C 28
13.9%
P 23
11.4%
E 21
10.4%
I 17
8.4%
T 16
7.9%
V 14
6.9%
o 13
6.4%
D 13
6.4%
L 13
6.4%
A 12
 
5.9%
Other values (18) 32
15.8%
Common
ValueCountFrequency (%)
11029
87.7%
) 414
 
3.3%
( 414
 
3.3%
· 186
 
1.5%
2 99
 
0.8%
, 83
 
0.7%
1 73
 
0.6%
3 68
 
0.5%
『 29
 
0.2%
』 29
 
0.2%
Other values (13) 151
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65991
83.8%
ASCII 12523
 
15.9%
None 250
 
0.3%
Compat Jamo 13
 
< 0.1%
Number Forms 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11029
88.1%
) 414
 
3.3%
( 414
 
3.3%
2 99
 
0.8%
, 83
 
0.7%
1 73
 
0.6%
3 68
 
0.5%
C 28
 
0.2%
- 25
 
0.2%
P 23
 
0.2%
Other values (34) 267
 
2.1%
Hangul
ValueCountFrequency (%)
지 3008
 
4.6%
원 2444
 
3.7%
사 1922
 
2.9%
운 1762
 
2.7%
영 1691
 
2.6%
비 1449
 
2.2%
관 1424
 
2.2%
리 1389
 
2.1%
업 1115
 
1.7%
시 978
 
1.5%
Other values (492) 48809
74.0%
None
ValueCountFrequency (%)
· 186
74.4%
『 29
 
11.6%
』 29
 
11.6%
「 3
 
1.2%
」 3
 
1.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 13
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
50.0%
Ⅰ 2
50.0%

사업구분
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
자체
4041 
보조
2961 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
자체 4041
57.7%
보조 2961
42.3%

Length

2023-12-11T01:46:10.022801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:46:10.208133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
자체 4041
57.7%
보조 2961
42.3%

예산현액
Real number (ℝ)

SKEWED  ZEROS 

Distinct4831
Distinct (%)69.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3676452 × 108
Minimum0
Maximum1.33 × 1011
Zeros98
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:10.437571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile980100
Q110350000
median45025000
Q31.7635625 × 108
95-th percentile1.404427 × 109
Maximum1.33 × 1011
Range1.33 × 1011
Interquartile range (IQR)1.6600625 × 108

Descriptive statistics

Standard deviation3.9159577 × 109
Coefficient of variation (CV)7.2954854
Kurtosis530.36844
Mean5.3676452 × 108
Median Absolute Deviation (MAD)41420000
Skewness20.543483
Sum3.7584251 × 1012
Variance1.5334725 × 1019
MonotonicityNot monotonic
2023-12-11T01:46:10.719514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
 
1.4%
3000000 62
 
0.9%
20000000 61
 
0.9%
5000000 56
 
0.8%
10000000 52
 
0.7%
100000000 49
 
0.7%
30000000 49
 
0.7%
500000 46
 
0.7%
2000000 45
 
0.6%
50000000 45
 
0.6%
Other values (4821) 6439
92.0%
ValueCountFrequency (%)
0 98
1.4%
1000 1
 
< 0.1%
22000 1
 
< 0.1%
25000 1
 
< 0.1%
27000 1
 
< 0.1%
33000 1
 
< 0.1%
40000 1
 
< 0.1%
88000 3
 
< 0.1%
114000 3
 
< 0.1%
125000 1
 
< 0.1%
ValueCountFrequency (%)
133000000000 1
< 0.1%
117000000000 1
< 0.1%
112000000000 1
< 0.1%
93809954000 1
< 0.1%
82705196000 1
< 0.1%
78925263000 1
< 0.1%
76259581000 1
< 0.1%
47083749000 1
< 0.1%
46042149000 1
< 0.1%
45333000000 1
< 0.1%

국비
Real number (ℝ)

SKEWED  ZEROS 

Distinct1206
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.141336 × 108
Minimum0
Maximum1.06 × 1011
Zeros5415
Zeros (%)77.3%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:10.960872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3 × 108
Maximum1.06 × 1011
Range1.06 × 1011
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.8259769 × 109
Coefficient of variation (CV)13.19726
Kurtosis779.49803
Mean2.141336 × 108
Median Absolute Deviation (MAD)0
Skewness25.750636
Sum1.4993635 × 1012
Variance7.9861452 × 1018
MonotonicityNot monotonic
2023-12-11T01:46:11.184657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5415
77.3%
300000000 20
 
0.3%
1000000 14
 
0.2%
500000000 14
 
0.2%
7000000 13
 
0.2%
100000000 13
 
0.2%
10000000 12
 
0.2%
20000000 12
 
0.2%
1000000000 11
 
0.2%
200000000 11
 
0.2%
Other values (1196) 1467
 
21.0%
ValueCountFrequency (%)
0 5415
77.3%
40000 1
 
< 0.1%
88000 3
 
< 0.1%
126000 1
 
< 0.1%
129000 1
 
< 0.1%
140000 1
 
< 0.1%
147000 2
 
< 0.1%
150000 1
 
< 0.1%
160000 1
 
< 0.1%
191000 1
 
< 0.1%
ValueCountFrequency (%)
106000000000 1
< 0.1%
97135262000 1
< 0.1%
93926312000 1
< 0.1%
65666968000 1
< 0.1%
57893637000 1
< 0.1%
55137685000 1
< 0.1%
53381707000 1
< 0.1%
40799700000 1
< 0.1%
37630500000 1
< 0.1%
37515947000 1
< 0.1%

도비
Real number (ℝ)

ZEROS 

Distinct1701
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97489374
Minimum0
Maximum2.1234317 × 1010
Zeros4448
Zeros (%)63.5%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:11.354224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310195250
95-th percentile3 × 108
Maximum2.1234317 × 1010
Range2.1234317 × 1010
Interquartile range (IQR)10195250

Descriptive statistics

Standard deviation7.606681 × 108
Coefficient of variation (CV)7.8025745
Kurtosis395.74001
Mean97489374
Median Absolute Deviation (MAD)0
Skewness18.216836
Sum6.8262059 × 1011
Variance5.7861595 × 1017
MonotonicityNot monotonic
2023-12-11T01:46:11.525589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4448
63.5%
40000000 35
 
0.5%
20000000 32
 
0.5%
30000000 28
 
0.4%
3000000 27
 
0.4%
5000000 27
 
0.4%
50000000 25
 
0.4%
10000000 24
 
0.3%
300000000 18
 
0.3%
7000000 17
 
0.2%
Other values (1691) 2321
33.1%
ValueCountFrequency (%)
0 4448
63.5%
17000 3
 
< 0.1%
40000 1
 
< 0.1%
42000 1
 
< 0.1%
44000 2
 
< 0.1%
50000 1
 
< 0.1%
60000 1
 
< 0.1%
65000 1
 
< 0.1%
75000 2
 
< 0.1%
90000 1
 
< 0.1%
ValueCountFrequency (%)
21234317000 1
< 0.1%
19700090000 1
< 0.1%
18739589000 1
< 0.1%
17783200000 1
< 0.1%
17368092000 1
< 0.1%
16651304000 1
< 0.1%
16014512000 1
< 0.1%
14550308000 1
< 0.1%
11509000000 1
< 0.1%
11309000000 1
< 0.1%

시군구비
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing7002
Missing (%)100.0%
Memory size61.7 KiB

지출액
Real number (ℝ)

SKEWED  ZEROS 

Distinct5772
Distinct (%)82.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.523382 × 108
Minimum0
Maximum1.21 × 1011
Zeros383
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:11.699883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16843297.5
median35000000
Q31.3345502 × 108
95-th percentile1.0082687 × 109
Maximum1.21 × 1011
Range1.21 × 1011
Interquartile range (IQR)1.2661172 × 108

Descriptive statistics

Standard deviation3.7578423 × 109
Coefficient of variation (CV)8.3075944
Kurtosis542.79722
Mean4.523382 × 108
Median Absolute Deviation (MAD)33000000
Skewness21.143154
Sum3.1672721 × 1012
Variance1.4121379 × 1019
MonotonicityNot monotonic
2023-12-11T01:46:11.895497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 383
 
5.5%
5000000 36
 
0.5%
20000000 35
 
0.5%
3000000 31
 
0.4%
2000000 28
 
0.4%
10000000 27
 
0.4%
4000000 23
 
0.3%
1000000 23
 
0.3%
30000000 21
 
0.3%
500000 18
 
0.3%
Other values (5762) 6377
91.1%
ValueCountFrequency (%)
0 383
5.5%
150 1
 
< 0.1%
21050 1
 
< 0.1%
24610 1
 
< 0.1%
27000 1
 
< 0.1%
31960 1
 
< 0.1%
70000 1
 
< 0.1%
87510 3
 
< 0.1%
107960 1
 
< 0.1%
108680 1
 
< 0.1%
ValueCountFrequency (%)
121000000000 1
< 0.1%
117000000000 1
< 0.1%
109000000000 1
< 0.1%
93807526070 1
< 0.1%
82610643610 1
< 0.1%
78252720480 1
< 0.1%
76032672420 1
< 0.1%
46537715140 1
< 0.1%
44730560620 1
< 0.1%
44611649960 1
< 0.1%

분야
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
사회복지
1860 
일반공공행정
1475 
문화및관광
623 
보건
481 
수송및교통
448 
Other values (11)
2115 

Length

Max length11
Median length7
Mean length4.7235076
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row수송및교통
2nd row문화및관광
3rd row문화및관광
4th row국토및지역개발
5th row국토및지역개발

Common Values

ValueCountFrequency (%)
사회복지 1860
26.6%
일반공공행정 1475
21.1%
문화및관광 623
 
8.9%
보건 481
 
6.9%
수송및교통 448
 
6.4%
기타 445
 
6.4%
농림해양수산 439
 
6.3%
국토및지역개발 430
 
6.1%
환경보호 229
 
3.3%
공공질서및안전 213
 
3.0%
Other values (6) 359
 
5.1%

Length

2023-12-11T01:46:12.083127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회복지 1860
26.6%
일반공공행정 1475
21.1%
문화및관광 623
 
8.9%
보건 481
 
6.9%
수송및교통 448
 
6.4%
기타 445
 
6.4%
농림해양수산 439
 
6.3%
국토및지역개발 430
 
6.1%
환경보호 229
 
3.3%
공공질서및안전 213
 
3.0%
Other values (6) 359
 
5.1%

사업시작일자
Date

Distinct85
Distinct (%)1.2%
Missing16
Missing (%)0.2%
Memory size54.8 KiB
Minimum1991-01-01 00:00:00
Maximum2020-11-01 00:00:00
2023-12-11T01:46:12.229975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:12.502301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업종료일자
Date

Distinct36
Distinct (%)0.5%
Missing16
Missing (%)0.2%
Memory size54.8 KiB
Minimum2012-12-31 00:00:00
Maximum2024-12-31 00:00:00
2023-12-11T01:46:12.689958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:12.897433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)

편성액
Real number (ℝ)

SKEWED  ZEROS 

Distinct4665
Distinct (%)66.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.1007731 × 108
Minimum-11573000
Maximum1.33 × 1011
Zeros276
Zeros (%)3.9%
Negative2
Negative (%)< 0.1%
Memory size61.7 KiB
2023-12-11T01:46:13.127859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-11573000
5-th percentile428700
Q18125000
median40000000
Q31.5299825 × 108
95-th percentile1.2203439 × 109
Maximum1.33 × 1011
Range1.3301157 × 1011
Interquartile range (IQR)1.4487325 × 108

Descriptive statistics

Standard deviation3.9094192 × 109
Coefficient of variation (CV)7.664366
Kurtosis534.52626
Mean5.1007731 × 108
Median Absolute Deviation (MAD)37175000
Skewness20.66572
Sum3.5715613 × 1012
Variance1.5283558 × 1019
MonotonicityNot monotonic
2023-12-11T01:46:13.350685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 276
 
3.9%
3000000 61
 
0.9%
20000000 58
 
0.8%
5000000 57
 
0.8%
100000000 53
 
0.8%
10000000 52
 
0.7%
30000000 49
 
0.7%
1000000 46
 
0.7%
500000 45
 
0.6%
2000000 45
 
0.6%
Other values (4655) 6260
89.4%
ValueCountFrequency (%)
-11573000 1
 
< 0.1%
-1820000 1
 
< 0.1%
0 276
3.9%
1000 1
 
< 0.1%
22000 1
 
< 0.1%
25000 1
 
< 0.1%
27000 1
 
< 0.1%
33000 1
 
< 0.1%
40000 1
 
< 0.1%
70000 1
 
< 0.1%
ValueCountFrequency (%)
133000000000 1
< 0.1%
117000000000 1
< 0.1%
112000000000 1
< 0.1%
93809954000 1
< 0.1%
82705196000 1
< 0.1%
78925263000 1
< 0.1%
76259581000 1
< 0.1%
47083749000 1
< 0.1%
46042149000 1
< 0.1%
45333000000 1
< 0.1%

이월액
Real number (ℝ)

ZEROS 

Distinct348
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26761849
Minimum0
Maximum6.155823 × 109
Zeros6570
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:13.560985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile21000000
Maximum6.155823 × 109
Range6.155823 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.188302 × 108
Coefficient of variation (CV)8.1769461
Kurtosis259.16133
Mean26761849
Median Absolute Deviation (MAD)0
Skewness14.338432
Sum1.8738647 × 1011
Variance4.7886655 × 1016
MonotonicityNot monotonic
2023-12-11T01:46:13.809657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6570
93.8%
500000000 10
 
0.1%
300000000 8
 
0.1%
20000000 7
 
0.1%
1000000000 6
 
0.1%
400000000 6
 
0.1%
200000000 6
 
0.1%
100000000 6
 
0.1%
15000000 5
 
0.1%
10000000 5
 
0.1%
Other values (338) 373
 
5.3%
ValueCountFrequency (%)
0 6570
93.8%
1000000 3
 
< 0.1%
1190000 1
 
< 0.1%
2000000 1
 
< 0.1%
2024000 1
 
< 0.1%
2200000 1
 
< 0.1%
2257470 1
 
< 0.1%
2404160 1
 
< 0.1%
3000000 1
 
< 0.1%
3495600 1
 
< 0.1%
ValueCountFrequency (%)
6155822980 1
< 0.1%
4874867530 1
< 0.1%
4387292790 1
< 0.1%
3982569000 1
< 0.1%
3728857850 1
< 0.1%
3719293000 1
< 0.1%
3704127700 1
< 0.1%
3421932690 1
< 0.1%
3400000000 1
< 0.1%
3347057110 1
< 0.1%

변경금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct189
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-74640.103
Minimum-3.271855 × 109
Maximum7.3 × 108
Zeros6790
Zeros (%)97.0%
Negative88
Negative (%)1.3%
Memory size61.7 KiB
2023-12-11T01:46:14.046697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.271855 × 109
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum7.3 × 108
Range4.001855 × 109
Interquartile range (IQR)0

Descriptive statistics

Standard deviation43830692
Coefficient of variation (CV)-587.22711
Kurtosis4471.0761
Mean-74640.103
Median Absolute Deviation (MAD)0
Skewness-59.302999
Sum-5.2263 × 108
Variance1.9211295 × 1015
MonotonicityNot monotonic
2023-12-11T01:46:14.262236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6790
97.0%
2000000 5
 
0.1%
-2000000 5
 
0.1%
3000000 4
 
0.1%
6000000 2
 
< 0.1%
2100000 2
 
< 0.1%
200000000 2
 
< 0.1%
-2100000 2
 
< 0.1%
-6000000 2
 
< 0.1%
-1500000 2
 
< 0.1%
Other values (179) 186
 
2.7%
ValueCountFrequency (%)
-3271855000 1
< 0.1%
-823162000 1
< 0.1%
-382456000 1
< 0.1%
-362625000 1
< 0.1%
-179742000 1
< 0.1%
-147131000 1
< 0.1%
-120591000 1
< 0.1%
-113700000 1
< 0.1%
-93618000 1
< 0.1%
-90000000 1
< 0.1%
ValueCountFrequency (%)
730000000 1
< 0.1%
450000000 1
< 0.1%
443881000 1
< 0.1%
362625000 1
< 0.1%
353692000 1
< 0.1%
301153000 1
< 0.1%
300000000 1
< 0.1%
200000000 2
< 0.1%
154700000 1
< 0.1%
150000000 1
< 0.1%

수입대체경비
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size54.8 KiB
0
7002 

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 7002
100.0%

Length

2023-12-11T01:46:14.469851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:46:14.615279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 7002
100.0%

마지막지급일자
Date

MISSING 

Distinct801
Distinct (%)12.8%
Missing737
Missing (%)10.5%
Memory size54.8 KiB
Minimum2015-11-12 00:00:00
Maximum2020-12-21 00:00:00
2023-12-11T01:46:14.764739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:46:14.971134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시군구예산액
Real number (ℝ)

ZEROS 

Distinct3953
Distinct (%)56.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.1769177 × 108
Minimum0
Maximum4.7073849 × 1010
Zeros1569
Zeros (%)22.4%
Negative0
Negative (%)0.0%
Memory size61.7 KiB
2023-12-11T01:46:15.140391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q1731000
median17000000
Q376462500
95-th percentile6.496445 × 108
Maximum4.7073849 × 1010
Range4.7073849 × 1010
Interquartile range (IQR)75731500

Descriptive statistics

Standard deviation1.5350944 × 109
Coefficient of variation (CV)7.0516879
Kurtosis501.25651
Mean2.1769177 × 108
Median Absolute Deviation (MAD)17000000
Skewness19.934958
Sum1.5242778 × 1012
Variance2.3565149 × 1018
MonotonicityNot monotonic
2023-12-11T01:46:15.624815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1569
 
22.4%
20000000 54
 
0.8%
3000000 52
 
0.7%
500000 47
 
0.7%
5000000 47
 
0.7%
1000000 44
 
0.6%
100000000 43
 
0.6%
30000000 41
 
0.6%
10000000 38
 
0.5%
50000000 30
 
0.4%
Other values (3943) 5037
71.9%
ValueCountFrequency (%)
0 1569
22.4%
1000 1
 
< 0.1%
18000 1
 
< 0.1%
19000 2
 
< 0.1%
22000 1
 
< 0.1%
25000 1
 
< 0.1%
27000 1
 
< 0.1%
33000 1
 
< 0.1%
40000 2
 
< 0.1%
50000 1
 
< 0.1%
ValueCountFrequency (%)
47073849000 1
< 0.1%
46042149000 1
< 0.1%
42303876000 1
< 0.1%
41546041000 1
< 0.1%
41108274000 1
< 0.1%
23000000000 1
< 0.1%
22353295000 1
< 0.1%
19739400000 1
< 0.1%
19655001000 1
< 0.1%
19068329000 1
< 0.1%

Sample

회계연도회계구분부서명정책사업명단위사업명세부사업명사업구분예산현액국비도비시군구비지출액분야사업시작일자사업종료일자편성액이월액변경금액수입대체경비마지막지급일자시군구예산액
02016일반회계도시디자인과도로관리도로부지관리국공유재산(도로)관리자체1396000000<NA>12375200수송및교통2016-01-012020-12-31139600000002016-12-3013960000
12017일반회계관광문화과지역문화축제로 융성한 문화도시 조성문화예술 기반 확충소년소녀합창단 운영자체5229000000<NA>52290000문화및관광2017-01-012021-12-31522900000002017-12-2752290000
22017일반회계관광문화과지역문화축제로 융성한 문화도시 조성문화향유공간 및 문화기반시설 조성달맞이어울마당 관리자체100000000<NA>792000문화및관광2017-01-012021-12-3110000000002017-11-241000000
32018일반회계도시디자인과광고물관리옥외광고물 관리광고물심의위원회 운영자체426000000<NA>2880000국토및지역개발2018-01-012022-12-3142600000002018-12-214260000
42018일반회계도시디자인과광고물관리옥외광고물 관리광고업자 관리자체50000000<NA>500000국토및지역개발2018-01-012022-12-315000000002018-12-24500000
52018일반회계도시디자인과광고물관리옥외광고물 관리불법광고물 정비자체37000000036500000<NA>37000000국토및지역개발2018-01-012022-12-31370000000002018-12-12500000
62018일반회계도시디자인과상하수도·수질관리하수도 수질관리하수구 관리자체17752000000<NA>116931000환경보호2018-01-012022-12-311775200000002018-12-24177520000
72018일반회계도시디자인과상하수도·수질관리하수도 수질관리맨홀관리자체20400000000<NA>145684370환경보호2018-01-012022-12-312040000000002018-12-28204000000
82018일반회계도시디자인과상하수도·수질관리하수도 수질관리배수펌프장 관리보조10557450000600000000<NA>983868030환경보호2018-01-012022-12-3110557450000002018-12-28455745000
92018일반회계안전총괄과재해 및 재난 예방재난 사전예방체계 구축재난상황실 운영자체3496000000<NA>34651360공공질서및안전2018-01-012022-12-31349600000002018-12-2434960000
회계연도회계구분부서명정책사업명단위사업명세부사업명사업구분예산현액국비도비시군구비지출액분야사업시작일자사업종료일자편성액이월액변경금액수입대체경비마지막지급일자시군구예산액
69922020일반회계민원여권과기록물 관리수동문서 관리문서발송 관리자체29680000000<NA>296800000일반공공행정2020-01-012024-12-312968000000002020-12-17296800000
69932020일반회계늘푸른과녹지·공원 관리공원시설물 확충관내 공원시설물 정비자체12190261701709787200<NA>1045828110국토및지역개발2020-01-012024-12-3136500000070402617015000000002020-12-181048047450
69942020일반회계노인장애인복지과노인복지 지원노인복지시설 지원재가노인복지시설 운영보조4059180000405918000<NA>405918000사회복지2020-01-012024-12-314059180000002020-11-180
69952020일반회계가족복지과보육가족지원한부모 가정 지원한부모시설 운영비 지원보조4694500000469450000<NA>442336840사회복지2020-01-012024-12-314694500000002020-12-150
69962020일반회계소통협력과요트실업팀 효율적 지원요트팀훈련 및 대회참가 지원요트팀 훈련지원자체44261600000<NA>401174450문화및관광2020-01-012024-12-3141261600003000000002020-12-09442616000
69972020일반회계소통협력과요트실업팀 효율적 지원요트팀훈련 및 대회참가 지원국내외 대회 참가지원자체500000000<NA>4068200문화및관광2020-01-012024-12-31350000000-300000000<NA>5000000
69982020일반회계가족복지과아동 건전 육성요보호 아동 지원가정위탁아동 등 자립정착금 지원보조1350000000135000000<NA>82000000사회복지2020-01-012024-12-311350000000002020-12-030
69992020일반회계가족복지과아동 건전 육성요보호 아동 지원가정위탁아동 등 대학등록금 지원보조24500000024500000<NA>9813300사회복지2020-01-012024-12-31245000000002020-03-260
70002020일반회계가족복지과아동 건전 육성요보호 아동 지원가정위탁양육 지원보조1716400000171640000<NA>151430000사회복지2020-01-012024-12-311716400000002020-12-180
70012020일반회계환경위생과대기환경 보전대기관리슬레이트 지붕개량지원 사업보조663500001067500010675000<NA>66350000환경2020-01-012024-12-31663500000002020-06-1145000000