Overview

Dataset statistics

Number of variables11
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows674
Duplicate rows (%)6.7%
Total size in memory986.3 KiB
Average record size in memory101.0 B

Variable types

Categorical7
Numeric2
Text2

Dataset

Description부산광역시_해운대구_재정정보공개시스템_세입자료수납내역표_20200923
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050173

Alerts

세입자료 일련번호 has constant value ""Constant
세입과목단계 has constant value ""Constant
세입예산액 has constant value ""Constant
Dataset has 674 (6.7%) duplicate rowsDuplicates
세입과목단계3 is highly overall correlated with 정렬 and 3 other fieldsHigh correlation
세입과목단계2 is highly overall correlated with 정렬 and 3 other fieldsHigh correlation
세입과목단계1 is highly overall correlated with 정렬 and 3 other fieldsHigh correlation
세입과목단계4 is highly overall correlated with 정렬 and 3 other fieldsHigh correlation
정렬 is highly overall correlated with 세입과목단계1 and 3 other fieldsHigh correlation
세입금일수납 is highly skewed (γ1 = 28.85839847)Skewed
정렬 has 1301 (13.0%) zerosZeros
세입금일수납 has 8234 (82.3%) zerosZeros

Reproduction

Analysis started2023-12-10 16:57:36.812976
Analysis finished2023-12-10 16:57:39.155411
Duration2.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

세입자료 일련번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202000000000
10000 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202000000000
2nd row202000000000
3rd row202000000000
4th row202000000000
5th row202000000000

Common Values

ValueCountFrequency (%)
202000000000 10000
100.0%

Length

2023-12-11T01:57:39.280255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:39.446717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202000000000 10000
100.0%

정렬
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3903
Minimum0
Maximum7
Zeros1301
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:57:39.598602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q35
95-th percentile7
Maximum7
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.2600612
Coefficient of variation (CV)0.66662573
Kurtosis-1.2050648
Mean3.3903
Median Absolute Deviation (MAD)2
Skewness0.053673684
Sum33903
Variance5.1078767
MonotonicityNot monotonic
2023-12-11T01:57:39.807996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
3 1318
13.2%
2 1313
13.1%
0 1301
13.0%
1 1285
12.8%
5 1263
12.6%
4 1247
12.5%
6 1176
11.8%
7 1097
11.0%
ValueCountFrequency (%)
0 1301
13.0%
1 1285
12.8%
2 1313
13.1%
3 1318
13.2%
4 1247
12.5%
5 1263
12.6%
6 1176
11.8%
7 1097
11.0%
ValueCountFrequency (%)
7 1097
11.0%
6 1176
11.8%
5 1263
12.6%
4 1247
12.5%
3 1318
13.2%
2 1313
13.1%
1 1285
12.8%
0 1301
13.0%

세입과목단계
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
1
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1 10000
100.0%

Length

2023-12-11T01:57:40.026020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:40.184440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10000
100.0%

세입과목단계1
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지하수관리특별회계(회계별총계)
1294 
일반회계(지방세수입)
1292 
일반회계(보전수입등및내부거래)
1288 
일반회계(세외수입)
1262 
일반회계(보조금)
1257 
Other values (3)
3607 

Length

Max length16
Median length15
Mean length12.5324
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보조금)
3rd row일반회계(지방교부세)
4th row일반회계(세외수입)
5th row기반시설특별회계(회계별총계)

Common Values

ValueCountFrequency (%)
지하수관리특별회계(회계별총계) 1294
12.9%
일반회계(지방세수입) 1292
12.9%
일반회계(보전수입등및내부거래) 1288
12.9%
일반회계(세외수입) 1262
12.6%
일반회계(보조금) 1257
12.6%
기반시설특별회계(회계별총계) 1247
12.5%
일반회계(조정교부금등) 1202
12.0%
일반회계(지방교부세) 1158
11.6%

Length

2023-12-11T01:57:40.385291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:40.615913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수관리특별회계(회계별총계 1294
12.9%
일반회계(지방세수입 1292
12.9%
일반회계(보전수입등및내부거래 1288
12.9%
일반회계(세외수입 1262
12.6%
일반회계(보조금 1257
12.6%
기반시설특별회계(회계별총계 1247
12.5%
일반회계(조정교부금등 1202
12.0%
일반회계(지방교부세 1158
11.6%

세입과목단계2
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지하수관리특별회계(회계별총계)
1294 
일반회계(지방세수입)
1292 
일반회계(보전수입등및내부거래)
1288 
일반회계(세외수입)
1262 
일반회계(보조금)
1257 
Other values (3)
3607 

Length

Max length16
Median length15
Mean length12.5324
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보조금)
3rd row일반회계(지방교부세)
4th row일반회계(세외수입)
5th row기반시설특별회계(회계별총계)

Common Values

ValueCountFrequency (%)
지하수관리특별회계(회계별총계) 1294
12.9%
일반회계(지방세수입) 1292
12.9%
일반회계(보전수입등및내부거래) 1288
12.9%
일반회계(세외수입) 1262
12.6%
일반회계(보조금) 1257
12.6%
기반시설특별회계(회계별총계) 1247
12.5%
일반회계(조정교부금등) 1202
12.0%
일반회계(지방교부세) 1158
11.6%

Length

2023-12-11T01:57:40.885302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:41.202047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수관리특별회계(회계별총계 1294
12.9%
일반회계(지방세수입 1292
12.9%
일반회계(보전수입등및내부거래 1288
12.9%
일반회계(세외수입 1262
12.6%
일반회계(보조금 1257
12.6%
기반시설특별회계(회계별총계 1247
12.5%
일반회계(조정교부금등 1202
12.0%
일반회계(지방교부세 1158
11.6%

세입과목단계3
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지하수관리특별회계(회계별총계)
1294 
일반회계(지방세수입)
1292 
일반회계(보전수입등및내부거래)
1288 
일반회계(세외수입)
1262 
일반회계(보조금)
1257 
Other values (3)
3607 

Length

Max length16
Median length15
Mean length12.5324
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보조금)
3rd row일반회계(지방교부세)
4th row일반회계(세외수입)
5th row기반시설특별회계(회계별총계)

Common Values

ValueCountFrequency (%)
지하수관리특별회계(회계별총계) 1294
12.9%
일반회계(지방세수입) 1292
12.9%
일반회계(보전수입등및내부거래) 1288
12.9%
일반회계(세외수입) 1262
12.6%
일반회계(보조금) 1257
12.6%
기반시설특별회계(회계별총계) 1247
12.5%
일반회계(조정교부금등) 1202
12.0%
일반회계(지방교부세) 1158
11.6%

Length

2023-12-11T01:57:41.519648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:41.739727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수관리특별회계(회계별총계 1294
12.9%
일반회계(지방세수입 1292
12.9%
일반회계(보전수입등및내부거래 1288
12.9%
일반회계(세외수입 1262
12.6%
일반회계(보조금 1257
12.6%
기반시설특별회계(회계별총계 1247
12.5%
일반회계(조정교부금등 1202
12.0%
일반회계(지방교부세 1158
11.6%

세입과목단계4
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
지하수관리특별회계(회계별총계)
1294 
일반회계(지방세수입)
1292 
일반회계(보전수입등및내부거래)
1288 
일반회계(세외수입)
1262 
일반회계(보조금)
1257 
Other values (3)
3607 

Length

Max length16
Median length15
Mean length12.5324
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반회계(조정교부금등)
2nd row일반회계(보조금)
3rd row일반회계(지방교부세)
4th row일반회계(세외수입)
5th row기반시설특별회계(회계별총계)

Common Values

ValueCountFrequency (%)
지하수관리특별회계(회계별총계) 1294
12.9%
일반회계(지방세수입) 1292
12.9%
일반회계(보전수입등및내부거래) 1288
12.9%
일반회계(세외수입) 1262
12.6%
일반회계(보조금) 1257
12.6%
기반시설특별회계(회계별총계) 1247
12.5%
일반회계(조정교부금등) 1202
12.0%
일반회계(지방교부세) 1158
11.6%

Length

2023-12-11T01:57:41.982565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:42.189999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지하수관리특별회계(회계별총계 1294
12.9%
일반회계(지방세수입 1292
12.9%
일반회계(보전수입등및내부거래 1288
12.9%
일반회계(세외수입 1262
12.6%
일반회계(보조금 1257
12.6%
기반시설특별회계(회계별총계 1247
12.5%
일반회계(조정교부금등 1202
12.0%
일반회계(지방교부세 1158
11.6%

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

2023-12-11T01:57:42.418319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:57:42.572057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

세입전일누계
Text

Distinct1943
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:57:42.941992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.4509
Min length2

Characters and Unicode

Total characters114509
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1248 ?
Unique (%)12.5%

Sample

1st row31754555000
2nd row279000000000
3rd row11936571120
4th row28535251670
5th row779314690
ValueCountFrequency (%)
45349620980 369
 
3.7%
8024731000 330
 
3.3%
34597790000 315
 
3.1%
32607559830 313
 
3.1%
619120850 310
 
3.1%
94177247310 310
 
3.1%
279000000000 309
 
3.1%
779314690 306
 
3.1%
58360216180 296
 
3.0%
65886477680 184
 
1.8%
Other values (1933) 6958
69.6%
2023-12-11T01:57:43.565567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30923
27.0%
9988
 
8.7%
1 9661
 
8.4%
3 9161
 
8.0%
7 8927
 
7.8%
2 7972
 
7.0%
6 7870
 
6.9%
9 7673
 
6.7%
8 7533
 
6.6%
4 7434
 
6.5%
Other values (3) 7367
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104497
91.3%
Space Separator 9988
 
8.7%
Open Punctuation 12
 
< 0.1%
Close Punctuation 12
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30923
29.6%
1 9661
 
9.2%
3 9161
 
8.8%
7 8927
 
8.5%
2 7972
 
7.6%
6 7870
 
7.5%
9 7673
 
7.3%
8 7533
 
7.2%
4 7434
 
7.1%
5 7343
 
7.0%
Space Separator
ValueCountFrequency (%)
9988
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114509
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30923
27.0%
9988
 
8.7%
1 9661
 
8.4%
3 9161
 
8.0%
7 8927
 
7.8%
2 7972
 
7.0%
6 7870
 
6.9%
9 7673
 
6.7%
8 7533
 
6.6%
4 7434
 
6.5%
Other values (3) 7367
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114509
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30923
27.0%
9988
 
8.7%
1 9661
 
8.4%
3 9161
 
8.0%
7 8927
 
7.8%
2 7972
 
7.0%
6 7870
 
6.9%
9 7673
 
6.7%
8 7533
 
6.6%
4 7434
 
6.5%
Other values (3) 7367
 
6.4%

세입금일수납
Real number (ℝ)

SKEWED  ZEROS 

Distinct1723
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1284428 × 108
Minimum0
Maximum5.8675002 × 1010
Zeros8234
Zeros (%)82.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:57:43.759994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.7401233 × 108
Maximum5.8675002 × 1010
Range5.8675002 × 1010
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.043741 × 109
Coefficient of variation (CV)9.249392
Kurtosis1303.288
Mean1.1284428 × 108
Median Absolute Deviation (MAD)0
Skewness28.858398
Sum1.1284428 × 1012
Variance1.0893952 × 1018
MonotonicityNot monotonic
2023-12-11T01:57:43.955835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8234
82.3%
172330 7
 
0.1%
153080 7
 
0.1%
266660 4
 
< 0.1%
311660 4
 
< 0.1%
144830 4
 
< 0.1%
191580 4
 
< 0.1%
455000 3
 
< 0.1%
482500 3
 
< 0.1%
310000000 3
 
< 0.1%
Other values (1713) 1727
 
17.3%
ValueCountFrequency (%)
0 8234
82.3%
380 1
 
< 0.1%
790 1
 
< 0.1%
2140 1
 
< 0.1%
2960 1
 
< 0.1%
3380 1
 
< 0.1%
3680 1
 
< 0.1%
5350 1
 
< 0.1%
6030 1
 
< 0.1%
6480 1
 
< 0.1%
ValueCountFrequency (%)
58675001740 1
< 0.1%
42071701160 1
< 0.1%
18796214250 1
< 0.1%
16876393000 1
< 0.1%
16600000000 1
< 0.1%
13781971000 1
< 0.1%
12763566600 1
< 0.1%
12716288000 1
< 0.1%
11901996000 1
< 0.1%
11784786950 1
< 0.1%

세입합계
Text

Distinct1960
Distinct (%)19.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-11T01:57:44.313723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.4649
Min length2

Characters and Unicode

Total characters114649
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1276 ?
Unique (%)12.8%

Sample

1st row31754555000
2nd row279000000000
3rd row11936571120
4th row28621130300
5th row779314690
ValueCountFrequency (%)
45349620980 369
 
3.7%
8024731000 330
 
3.3%
34597790000 315
 
3.1%
32607559830 314
 
3.1%
94177247310 311
 
3.1%
279000000000 309
 
3.1%
619120850 308
 
3.1%
779314690 306
 
3.1%
58360216180 297
 
3.0%
65886477680 184
 
1.8%
Other values (1950) 6957
69.6%
2023-12-11T01:57:44.837687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 30975
27.0%
9991
 
8.7%
1 9649
 
8.4%
3 9267
 
8.1%
7 8920
 
7.8%
2 7975
 
7.0%
6 7877
 
6.9%
9 7663
 
6.7%
8 7550
 
6.6%
4 7394
 
6.4%
Other values (3) 7388
 
6.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 104640
91.3%
Space Separator 9991
 
8.7%
Open Punctuation 9
 
< 0.1%
Close Punctuation 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 30975
29.6%
1 9649
 
9.2%
3 9267
 
8.9%
7 8920
 
8.5%
2 7975
 
7.6%
6 7877
 
7.5%
9 7663
 
7.3%
8 7550
 
7.2%
4 7394
 
7.1%
5 7370
 
7.0%
Space Separator
ValueCountFrequency (%)
9991
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114649
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 30975
27.0%
9991
 
8.7%
1 9649
 
8.4%
3 9267
 
8.1%
7 8920
 
7.8%
2 7975
 
7.0%
6 7877
 
6.9%
9 7663
 
6.7%
8 7550
 
6.6%
4 7394
 
6.4%
Other values (3) 7388
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114649
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 30975
27.0%
9991
 
8.7%
1 9649
 
8.4%
3 9267
 
8.1%
7 8920
 
7.8%
2 7975
 
7.0%
6 7877
 
6.9%
9 7663
 
6.7%
8 7550
 
6.6%
4 7394
 
6.4%
Other values (3) 7388
 
6.4%

Interactions

2023-12-11T01:57:38.305022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:38.009065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:38.464058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:57:38.139047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:57:45.013220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입금일수납
정렬1.0000.9360.9360.9360.9360.042
세입과목단계10.9361.0001.0001.0001.0000.093
세입과목단계20.9361.0001.0001.0001.0000.093
세입과목단계30.9361.0001.0001.0001.0000.093
세입과목단계40.9361.0001.0001.0001.0000.093
세입금일수납0.0420.0930.0930.0930.0931.000
2023-12-11T01:57:45.145655image/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
2023-12-11T01:57:45.309394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정렬세입금일수납세입과목단계1세입과목단계2세입과목단계3세입과목단계4
정렬1.000-0.1150.6050.6050.6050.605
세입금일수납-0.1151.0000.0510.0510.0510.051
세입과목단계10.6050.0511.0001.0001.0001.000
세입과목단계20.6050.0511.0001.0001.0001.000
세입과목단계30.6050.0511.0001.0001.0001.000
세입과목단계40.6050.0511.0001.0001.0001.000

Missing values

2023-12-11T01:57:38.689301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:57:38.975105image/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

세입자료 일련번호정렬세입과목단계세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계
140020200000000051일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)031754555000031754555000
1357620200000000041일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)02790000000000279000000000
83920200000000061일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)011936571120011936571120
1565020200000000051일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)0285352516708587863028621130300
1360620200000000021기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)07793146900779314690
16320200000000031일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)065893677680065893677680
1125220200000000011일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)032607559830032607559830
1502520200000000061일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)0802473100008024731000
880820200000000011일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)025506305520025506305520
996720200000000061일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)019594084000019594084000
세입자료 일련번호정렬세입과목단계세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계
1158920200000000021일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)034597790000034597790000
1844820200000000001일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)01240000000000124000000000
1062020200000000001일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)01719110800171911080
198320200000000011지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)0173223936001732239360
1764720200000000011일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)066213702101899723006811342510
1661520200000000031기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)03293466600329346660
569420200000000051일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)048272339920749258000055764919920
1204120200000000051일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)034597790000034597790000
213220200000000051일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)021654888000021654888000
873420200000000071일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)0221000000000379973740221000000000

Duplicate rows

Most frequently occurring

세입자료 일련번호정렬세입과목단계세입과목단계1세입과목단계2세입과목단계3세입과목단계4세입예산액세입전일누계세입금일수납세입합계# duplicates
6220200000000001일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)094177247310094177247310310
32820200000000031일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)045349620980045349620980246
33020200000000031일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)일반회계(보전수입등및내부거래)058360216180058360216180221
63120200000000071일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)일반회계(세외수입)032607559830032607559830204
61120200000000061일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)일반회계(지방교부세)0802473100008024731000191
15120200000000011지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)지하수관리특별회계(회계별총계)06191208500619120850181
23020200000000021기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)기반시설특별회계(회계별총계)07793146900779314690178
41720200000000041일반회계(보조금)일반회계(보조금)일반회계(보조금)일반회계(보조금)02790000000000279000000000178
1820200000000001일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)일반회계(지방세수입)01240000000000124000000000164
52020200000000051일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)일반회계(조정교부금등)034597790000034597790000163