Overview

Dataset statistics

Number of variables8
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows493
Duplicate rows (%)4.9%
Total size in memory742.2 KiB
Average record size in memory76.0 B

Variable types

Categorical5
Numeric3

Dataset

Description부산광역시해운대구_재정정보공개시스템_세입자료수납내역표_20210113
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050173

Alerts

세입예산액 has constant value ""Constant
Dataset has 493 (4.9%) duplicate rowsDuplicates
세입과목단계3 is highly overall correlated with 세입과목단계1 and 2 other fieldsHigh correlation
세입과목단계2 is highly overall correlated with 세입과목단계1 and 2 other fieldsHigh correlation
세입과목단계1 is highly overall correlated with 세입과목단계2 and 2 other fieldsHigh correlation
세입과목단계4 is highly overall correlated with 세입과목단계1 and 2 other fieldsHigh correlation
세입전일누계 is highly overall correlated with 세입합계High correlation
세입합계 is highly overall correlated with 세입전일누계High correlation
세입금일수납 has 8209 (82.1%) zerosZeros

Reproduction

Analysis started2023-12-10 16:57:57.682137
Analysis finished2023-12-10 16:58:00.189975
Duration2.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

세입과목단계1
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반회계(보조금)
1325 
일반회계(세외수입)
1304 
일반회계(지방세수입)
1303 
일반회계(보전수입등및내부거래)
1280 
기반시설특별회계(회계별총계)
1250 
Other values (3)
3538 

Length

Max length16
Median length12
Mean length12.4731
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(지방교부세)
2nd row일반회계(지방교부세)
3rd row일반회계(세외수입)
4th row일반회계(보전수입등및내부거래)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
일반회계(보조금) 1325
13.2%
일반회계(세외수입) 1304
13.0%
일반회계(지방세수입) 1303
13.0%
일반회계(보전수입등및내부거래) 1280
12.8%
기반시설특별회계(회계별총계) 1250
12.5%
일반회계(조정교부금등) 1215
12.2%
지하수관리특별회계(회계별총계) 1214
12.1%
일반회계(지방교부세) 1109
11.1%

Length

2023-12-11T01:58:00.285544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:00.465797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계(보조금 1325
13.2%
일반회계(세외수입 1304
13.0%
일반회계(지방세수입 1303
13.0%
일반회계(보전수입등및내부거래 1280
12.8%
기반시설특별회계(회계별총계 1250
12.5%
일반회계(조정교부금등 1215
12.2%
지하수관리특별회계(회계별총계 1214
12.1%
일반회계(지방교부세 1109
11.1%

세입과목단계2
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반회계(보조금)
1325 
일반회계(세외수입)
1304 
일반회계(지방세수입)
1303 
일반회계(보전수입등및내부거래)
1280 
기반시설특별회계(회계별총계)
1250 
Other values (3)
3538 

Length

Max length16
Median length12
Mean length12.4731
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(지방교부세)
2nd row일반회계(지방교부세)
3rd row일반회계(세외수입)
4th row일반회계(보전수입등및내부거래)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
일반회계(보조금) 1325
13.2%
일반회계(세외수입) 1304
13.0%
일반회계(지방세수입) 1303
13.0%
일반회계(보전수입등및내부거래) 1280
12.8%
기반시설특별회계(회계별총계) 1250
12.5%
일반회계(조정교부금등) 1215
12.2%
지하수관리특별회계(회계별총계) 1214
12.1%
일반회계(지방교부세) 1109
11.1%

Length

2023-12-11T01:58:00.681318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:00.851531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계(보조금 1325
13.2%
일반회계(세외수입 1304
13.0%
일반회계(지방세수입 1303
13.0%
일반회계(보전수입등및내부거래 1280
12.8%
기반시설특별회계(회계별총계 1250
12.5%
일반회계(조정교부금등 1215
12.2%
지하수관리특별회계(회계별총계 1214
12.1%
일반회계(지방교부세 1109
11.1%

세입과목단계3
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반회계(보조금)
1325 
일반회계(세외수입)
1304 
일반회계(지방세수입)
1303 
일반회계(보전수입등및내부거래)
1280 
기반시설특별회계(회계별총계)
1250 
Other values (3)
3538 

Length

Max length16
Median length12
Mean length12.4731
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(지방교부세)
2nd row일반회계(지방교부세)
3rd row일반회계(세외수입)
4th row일반회계(보전수입등및내부거래)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
일반회계(보조금) 1325
13.2%
일반회계(세외수입) 1304
13.0%
일반회계(지방세수입) 1303
13.0%
일반회계(보전수입등및내부거래) 1280
12.8%
기반시설특별회계(회계별총계) 1250
12.5%
일반회계(조정교부금등) 1215
12.2%
지하수관리특별회계(회계별총계) 1214
12.1%
일반회계(지방교부세) 1109
11.1%

Length

2023-12-11T01:58:01.046484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.209731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계(보조금 1325
13.2%
일반회계(세외수입 1304
13.0%
일반회계(지방세수입 1303
13.0%
일반회계(보전수입등및내부거래 1280
12.8%
기반시설특별회계(회계별총계 1250
12.5%
일반회계(조정교부금등 1215
12.2%
지하수관리특별회계(회계별총계 1214
12.1%
일반회계(지방교부세 1109
11.1%

세입과목단계4
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
일반회계(보조금)
1325 
일반회계(세외수입)
1304 
일반회계(지방세수입)
1303 
일반회계(보전수입등및내부거래)
1280 
기반시설특별회계(회계별총계)
1250 
Other values (3)
3538 

Length

Max length16
Median length12
Mean length12.4731
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(지방교부세)
2nd row일반회계(지방교부세)
3rd row일반회계(세외수입)
4th row일반회계(보전수입등및내부거래)
5th row일반회계(조정교부금등)

Common Values

ValueCountFrequency (%)
일반회계(보조금) 1325
13.2%
일반회계(세외수입) 1304
13.0%
일반회계(지방세수입) 1303
13.0%
일반회계(보전수입등및내부거래) 1280
12.8%
기반시설특별회계(회계별총계) 1250
12.5%
일반회계(조정교부금등) 1215
12.2%
지하수관리특별회계(회계별총계) 1214
12.1%
일반회계(지방교부세) 1109
11.1%

Length

2023-12-11T01:58:01.443948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.661200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반회계(보조금 1325
13.2%
일반회계(세외수입 1304
13.0%
일반회계(지방세수입 1303
13.0%
일반회계(보전수입등및내부거래 1280
12.8%
기반시설특별회계(회계별총계 1250
12.5%
일반회계(조정교부금등 1215
12.2%
지하수관리특별회계(회계별총계 1214
12.1%
일반회계(지방교부세 1109
11.1%

세입예산액
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2023-12-11T01:58:01.864357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:58:01.999458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

세입전일누계
Real number (ℝ)

HIGH CORRELATION 

Distinct2139
Distinct (%)21.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1387352 × 1010
Minimum-25379380
Maximum5.83 × 1011
Zeros18
Zeros (%)0.2%
Negative10
Negative (%)0.1%
Memory size166.0 KiB
2023-12-11T01:58:02.478014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-25379380
5-th percentile3.2183051 × 108
Q11.8678444 × 109
median3.1754555 × 1010
Q36.6515083 × 1010
95-th percentile2.99 × 1011
Maximum5.83 × 1011
Range5.8302538 × 1011
Interquartile range (IQR)6.4647238 × 1010

Descriptive statistics

Standard deviation9.5608279 × 1010
Coefficient of variation (CV)1.5574589
Kurtosis5.3272369
Mean6.1387352 × 1010
Median Absolute Deviation (MAD)3.0001122 × 1010
Skewness2.3511014
Sum6.1387352 × 1014
Variance9.140943 × 1021
MonotonicityNot monotonic
2023-12-11T01:58:02.681439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8024731000 257
 
2.6%
45349620980 254
 
2.5%
73266962030 253
 
2.5%
279000000000 250
 
2.5%
779314690 241
 
2.4%
58360216180 239
 
2.4%
32607559830 234
 
2.3%
34597790000 230
 
2.3%
94177247310 220
 
2.2%
619120850 219
 
2.2%
Other values (2129) 7603
76.0%
ValueCountFrequency (%)
-25379380 1
 
< 0.1%
-1879070 3
 
< 0.1%
-1629070 1
 
< 0.1%
-1494490 1
 
< 0.1%
-1071200 1
 
< 0.1%
-895760 1
 
< 0.1%
-605540 1
 
< 0.1%
-415760 1
 
< 0.1%
0 18
0.2%
52620 1
 
< 0.1%
ValueCountFrequency (%)
583000000000 1
 
< 0.1%
573000000000 1
 
< 0.1%
571000000000 1
 
< 0.1%
569000000000 1
 
< 0.1%
568000000000 5
0.1%
566000000000 3
< 0.1%
554000000000 1
 
< 0.1%
546000000000 1
 
< 0.1%
545000000000 4
< 0.1%
540000000000 4
< 0.1%

세입금일수납
Real number (ℝ)

ZEROS 

Distinct1750
Distinct (%)17.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.2191994 × 108
Minimum0
Maximum4.2071701 × 1010
Zeros8209
Zeros (%)82.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:58:02.887533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.2138769 × 108
Maximum4.2071701 × 1010
Range4.2071701 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9.5197132 × 108
Coefficient of variation (CV)7.8081676
Kurtosis487.85033
Mean1.2191994 × 108
Median Absolute Deviation (MAD)0
Skewness17.217636
Sum1.2191994 × 1012
Variance9.0624939 × 1017
MonotonicityNot monotonic
2023-12-11T01:58:03.051887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8209
82.1%
358750 8
 
0.1%
153080 6
 
0.1%
266660 6
 
0.1%
191580 5
 
0.1%
510000 4
 
< 0.1%
172330 4
 
< 0.1%
144830 3
 
< 0.1%
311660 3
 
< 0.1%
448880 2
 
< 0.1%
Other values (1740) 1750
 
17.5%
ValueCountFrequency (%)
0 8209
82.1%
330 1
 
< 0.1%
380 1
 
< 0.1%
2140 1
 
< 0.1%
2300 1
 
< 0.1%
3380 1
 
< 0.1%
3600 1
 
< 0.1%
3680 1
 
< 0.1%
6180 1
 
< 0.1%
6480 1
 
< 0.1%
ValueCountFrequency (%)
42071701160 1
< 0.1%
19129770000 1
< 0.1%
17549594270 1
< 0.1%
16600000000 1
< 0.1%
16284141000 1
< 0.1%
15353418490 1
< 0.1%
13808726000 1
< 0.1%
13781971000 1
< 0.1%
13523771500 1
< 0.1%
13495078200 1
< 0.1%

세입합계
Real number (ℝ)

HIGH CORRELATION 

Distinct2129
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.1508955 × 1010
Minimum-1879070
Maximum5.83 × 1011
Zeros5
Zeros (%)< 0.1%
Negative7
Negative (%)0.1%
Memory size166.0 KiB
2023-12-11T01:58:03.210036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1879070
5-th percentile3.2254089 × 108
Q11.8801636 × 109
median3.1754555 × 1010
Q36.7320122 × 1010
95-th percentile2.99 × 1011
Maximum5.83 × 1011
Range5.8300188 × 1011
Interquartile range (IQR)6.5439959 × 1010

Descriptive statistics

Standard deviation9.5702689 × 1010
Coefficient of variation (CV)1.5559147
Kurtosis5.3315725
Mean6.1508955 × 1010
Median Absolute Deviation (MAD)2.999617 × 1010
Skewness2.3507149
Sum6.1508955 × 1014
Variance9.1590046 × 1021
MonotonicityNot monotonic
2023-12-11T01:58:03.376765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8024731000 257
 
2.6%
45349620980 254
 
2.5%
73266962030 253
 
2.5%
279000000000 252
 
2.5%
779314690 241
 
2.4%
58360216180 240
 
2.4%
32607559830 234
 
2.3%
34597790000 230
 
2.3%
94177247310 220
 
2.2%
619120850 219
 
2.2%
Other values (2119) 7600
76.0%
ValueCountFrequency (%)
-1879070 2
 
< 0.1%
-1629070 1
 
< 0.1%
-1071200 1
 
< 0.1%
-895760 1
 
< 0.1%
-510410 1
 
< 0.1%
-415760 1
 
< 0.1%
0 5
0.1%
52620 1
 
< 0.1%
660360 9
0.1%
1337090 1
 
< 0.1%
ValueCountFrequency (%)
583000000000 2
 
< 0.1%
573000000000 1
 
< 0.1%
569000000000 2
 
< 0.1%
568000000000 4
< 0.1%
566000000000 3
< 0.1%
554000000000 1
 
< 0.1%
550000000000 1
 
< 0.1%
546000000000 1
 
< 0.1%
545000000000 3
< 0.1%
540000000000 5
0.1%

Interactions

2023-12-11T01:57:59.600461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:58.753831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.186018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.728814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:58.906483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.325331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.845078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.032656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:59.463116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:58:03.519792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입전일누계세입금일수납세입합계
세입과목단계11.0001.0001.0001.0000.7360.1090.737
세입과목단계21.0001.0001.0001.0000.7360.1090.737
세입과목단계31.0001.0001.0001.0000.7360.1090.737
세입과목단계41.0001.0001.0001.0000.7360.1090.737
세입전일누계0.7360.7360.7360.7361.0000.1301.000
세입금일수납0.1090.1090.1090.1090.1301.0000.137
세입합계0.7370.7370.7370.7371.0000.1371.000
2023-12-11T01:58:03.660886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입과목단계3세입과목단계2세입과목단계1세입과목단계4
세입과목단계31.0001.0001.0001.000
세입과목단계21.0001.0001.0001.000
세입과목단계11.0001.0001.0001.000
세입과목단계41.0001.0001.0001.000
2023-12-11T01:58:03.797720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
세입전일누계세입금일수납세입합계세입과목단계1세입과목단계2세입과목단계3세입과목단계4
세입전일누계1.0000.0250.9990.4690.4690.4690.469
세입금일수납0.0251.0000.0320.0600.0600.0600.060
세입합계0.9990.0321.0000.4690.4690.4690.469
세입과목단계10.4690.0600.4691.0001.0001.0001.000
세입과목단계20.4690.0600.4691.0001.0001.0001.000
세입과목단계30.4690.0600.4691.0001.0001.0001.000
세입과목단계40.4690.0600.4691.0001.0001.0001.000

Missing values

2023-12-11T01:57:59.980274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:58:00.126002image/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

세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계
17525일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)0212062400002120624000
5468일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)0371888270003718882700
16301일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)032893989020032893989020
22338일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)082817063770082817063770
6044일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)0839631600008396316000
269지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)0186572124023001865723540
3176일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)03920000000000392000000000
17003지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)07208451000720845100
8462일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)034656831380034656831380
15881일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)058360216180058360216180
세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계
18534일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)058360216180058360216180
15688기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)014303670014303670
24383일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)02790000000000279000000000
18542지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)06189634805940520624904000
7537일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)03280000000000328000000000
3941일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)049938285080049938285080
11978일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)0118000000000319316000119000000000
16829일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)02836006594010238414028462450080
8173일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)01240000000000124000000000
1758일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)01230000000000123000000000

Duplicate rows

Most frequently occurring

세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계# duplicates
362일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)0802473100008024731000257
116일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)045349620980045349620980254
125일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)073266962030073266962030253
175일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)02790000000000279000000000247
114기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)07793146900779314690241
118일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)058360216180058360216180239
245일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)032607559830032607559830234
309일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)034597790000034597790000230
405일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)094177247310094177247310220
421지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)06191208500619120850219