Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory237.0 B

Variable types

Numeric16
Categorical8
DateTime1
Text1

Dataset

Description부산광역시 상수도사업본부에서 상하수도 요금 계산 및 징수를 위해 운영하는 수용가정보시스템에 사용되는 세입 집계정보(세입 월 집계) 자료입니다.
Author부산광역시 상수도사업본부
URLhttps://www.data.go.kr/data/15083667/fileData.do

Alerts

불납결손건수 has constant value ""Constant
결손취소건수 has constant value ""Constant
체납이중수납건수 is highly imbalanced (88.9%)Imbalance
과오건수 is highly imbalanced (84.1%)Imbalance
충당건수 is highly imbalanced (97.9%)Imbalance
당월이중수납금액 is highly skewed (γ1 = 27.64547109)Skewed
불납결손금액 is highly skewed (γ1 = 37.36916236)Skewed
결손취소금액 is highly skewed (γ1 = 55.98841199)Skewed
반환금액 is highly skewed (γ1 = 34.93070829)Skewed
과오금액 is highly skewed (γ1 = 85.44229581)Skewed
충당금액 is highly skewed (γ1 = 37.60079124)Skewed
연번 has unique valuesUnique
구코드 has 139 (1.4%) zerosZeros
징수건수 has 1473 (14.7%) zerosZeros
징수금액 has 955 (9.6%) zerosZeros
수납건수 has 140 (1.4%) zerosZeros
수납금액 has 139 (1.4%) zerosZeros
당월이중수납건수 has 8966 (89.7%) zerosZeros
당월이중수납금액 has 8966 (89.7%) zerosZeros
불납결손금액 has 9419 (94.2%) zerosZeros
결손취소금액 has 9944 (99.4%) zerosZeros
반환건수 has 8342 (83.4%) zerosZeros
반환금액 has 8342 (83.4%) zerosZeros
체납이중수납금액 has 9755 (97.5%) zerosZeros
과오금액 has 9614 (96.1%) zerosZeros
충당금액 has 9954 (99.5%) zerosZeros

Reproduction

Analysis started2024-04-17 21:09:55.133463
Analysis finished2024-04-17 21:09:55.567471
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5255.1868
Minimum1
Maximum10505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:55.625331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile530.95
Q12621.75
median5263.5
Q37881.25
95-th percentile9981.1
Maximum10505
Range10504
Interquartile range (IQR)5259.5

Descriptive statistics

Standard deviation3031.5054
Coefficient of variation (CV)0.57685969
Kurtosis-1.2009701
Mean5255.1868
Median Absolute Deviation (MAD)2629.5
Skewness-0.0012133092
Sum52551868
Variance9190025.1
MonotonicityNot monotonic
2024-04-18T06:09:55.729224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5268 1
 
< 0.1%
2654 1
 
< 0.1%
6388 1
 
< 0.1%
2756 1
 
< 0.1%
639 1
 
< 0.1%
1916 1
 
< 0.1%
3914 1
 
< 0.1%
3700 1
 
< 0.1%
8935 1
 
< 0.1%
5336 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
12 1
< 0.1%
ValueCountFrequency (%)
10505 1
< 0.1%
10504 1
< 0.1%
10503 1
< 0.1%
10502 1
< 0.1%
10501 1
< 0.1%
10500 1
< 0.1%
10499 1
< 0.1%
10498 1
< 0.1%
10497 1
< 0.1%
10496 1
< 0.1%

사업소코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.3279
Minimum101
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:55.818502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile244
Q1301
median304
Q3308
95-th percentile312
Maximum312
Range211
Interquartile range (IQR)7

Descriptive statistics

Standard deviation36.451291
Coefficient of variation (CV)0.12642305
Kurtosis8.0233966
Mean288.3279
Median Absolute Deviation (MAD)4
Skewness-2.4955428
Sum2883279
Variance1328.6967
MonotonicityNot monotonic
2024-04-18T06:09:55.897880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
244 1970
19.7%
306 1198
12.0%
307 1129
11.3%
301 936
9.4%
311 732
 
7.3%
304 690
 
6.9%
309 661
 
6.6%
308 625
 
6.2%
312 612
 
6.1%
302 553
 
5.5%
Other values (7) 894
8.9%
ValueCountFrequency (%)
101 139
 
1.4%
201 121
 
1.2%
202 28
 
0.3%
203 47
 
0.5%
204 23
 
0.2%
205 52
 
0.5%
244 1970
19.7%
301 936
9.4%
302 553
 
5.5%
303 484
 
4.8%
ValueCountFrequency (%)
312 612
6.1%
311 732
7.3%
309 661
6.6%
308 625
6.2%
307 1129
11.3%
306 1198
12.0%
304 690
6.9%
303 484
4.8%
302 553
5.5%
301 936
9.4%

사업소명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동래통합사업소
1970 
남부사업소
1198 
북부사업소
1129 
중동부사업소
936 
강서사업소
732 
Other values (12)
4035 

Length

Max length9
Median length8
Mean length6.0269
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산진 사업소
2nd row북부사업소
3rd row해운대사업소
4th row부산진 사업소
5th row중동부사업소

Common Values

ValueCountFrequency (%)
동래통합사업소 1970
19.7%
남부사업소 1198
12.0%
북부사업소 1129
11.3%
중동부사업소 936
9.4%
강서사업소 732
 
7.3%
부산진 사업소 690
 
6.9%
사하사업소 661
 
6.6%
해운대사업소 625
 
6.2%
기장사업소 612
 
6.1%
서부 사업소 553
 
5.5%
Other values (7) 894
8.9%

Length

2024-04-18T06:09:55.992911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동래통합사업소 1970
17.5%
사업소 1243
11.1%
남부사업소 1198
10.7%
북부사업소 1129
10.0%
중동부사업소 936
8.3%
강서사업소 732
 
6.5%
부산진 690
 
6.1%
사하사업소 661
 
5.9%
해운대사업소 625
 
5.6%
기장사업소 612
 
5.4%
Other values (8) 1447
12.9%

구코드
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.949
Minimum0
Maximum710
Zeros139
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:56.090836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110
Q1230
median350
Q3470
95-th percentile710
Maximum710
Range710
Interquartile range (IQR)240

Descriptive statistics

Standard deviation157.7227
Coefficient of variation (CV)0.45591315
Kurtosis-0.20119024
Mean345.949
Median Absolute Deviation (MAD)120
Skewness0.38136146
Sum3459490
Variance24876.449
MonotonicityNot monotonic
2024-04-18T06:09:56.177003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
440 732
 
7.3%
260 695
 
7.0%
470 694
 
6.9%
230 690
 
6.9%
380 661
 
6.6%
530 636
 
6.4%
350 625
 
6.2%
710 612
 
6.1%
290 610
 
6.1%
500 588
 
5.9%
Other values (12) 3457
34.6%
ValueCountFrequency (%)
0 139
 
1.4%
110 413
4.1%
140 553
5.5%
170 523
5.2%
200 484
4.8%
201 121
 
1.2%
202 28
 
0.3%
203 47
 
0.5%
204 23
 
0.2%
205 52
 
0.5%
ValueCountFrequency (%)
710 612
6.1%
530 636
6.4%
500 588
5.9%
470 694
6.9%
440 732
7.3%
410 581
5.8%
380 661
6.6%
350 625
6.2%
320 493
4.9%
290 610
6.1%

구명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강서구
732 
동래구
695 
연제구
694 
부산진구
690 
사하구
661 
Other values (17)
6528 

Length

Max length4
Median length3
Mean length2.8591
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산진구
2nd row사상구
3rd row해운대구
4th row부산진구
5th row동구

Common Values

ValueCountFrequency (%)
강서구 732
 
7.3%
동래구 695
 
7.0%
연제구 694
 
6.9%
부산진구 690
 
6.9%
사하구 661
 
6.6%
사상구 636
 
6.4%
해운대구 625
 
6.2%
기장군 612
 
6.1%
남구 610
 
6.1%
수영구 588
 
5.9%
Other values (12) 3457
34.6%

Length

2024-04-18T06:09:56.283271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강서구 732
 
7.3%
동래구 695
 
7.0%
연제구 694
 
6.9%
부산진구 690
 
6.9%
사하구 661
 
6.6%
사상구 636
 
6.4%
해운대구 625
 
6.2%
기장군 612
 
6.1%
남구 610
 
6.1%
수영구 588
 
5.9%
Other values (12) 3457
34.6%

세입년월
Date

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-01 00:00:00
Maximum2023-12-01 00:00:00
2024-04-18T06:09:56.381209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-18T06:09:56.460041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)

예산과목
Text

Distinct124
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T06:09:56.631540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.6845
Min length4

Characters and Unicode

Total characters86845
Distinct characters155
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row시공비(신설,비정액제)
2nd row설계료(32mm이상)
3rd row설계료(25mm이하)
4th row물이용부담금
5th row욕탕용 사용료
ValueCountFrequency (%)
하수도요금 1783
 
16.4%
물이용부담금 1394
 
12.8%
사용료 740
 
6.8%
수용가미수금이월액 676
 
6.2%
원인자부담금(시설부담금 199
 
1.8%
일반용 190
 
1.8%
사회복지사용료 183
 
1.7%
가정용 181
 
1.7%
욕탕용 180
 
1.7%
준공검사료(25mm이하 171
 
1.6%
Other values (125) 5155
47.5%
2024-04-18T06:09:56.921015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 5118
 
5.9%
금 4524
 
5.2%
( 4487
 
5.2%
) 4487
 
5.2%
용 3986
 
4.6%
이 3808
 
4.4%
사 3384
 
3.9%
공 3150
 
3.6%
료 3137
 
3.6%
하 2663
 
3.1%
Other values (145) 48101
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70992
81.7%
Open Punctuation 4487
 
5.2%
Close Punctuation 4487
 
5.2%
Lowercase Letter 2510
 
2.9%
Decimal Number 2510
 
2.9%
Other Punctuation 1007
 
1.2%
Space Separator 852
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 5118
 
7.2%
금 4524
 
6.4%
용 3986
 
5.6%
이 3808
 
5.4%
사 3384
 
4.8%
공 3150
 
4.4%
료 3137
 
4.4%
하 2663
 
3.8%
비 2434
 
3.4%
도 1901
 
2.7%
Other values (137) 36887
52.0%
Decimal Number
ValueCountFrequency (%)
2 1255
50.0%
5 869
34.6%
3 386
 
15.4%
Open Punctuation
ValueCountFrequency (%)
( 4487
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4487
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2510
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1007
100.0%
Space Separator
ValueCountFrequency (%)
852
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70992
81.7%
Common 13343
 
15.4%
Latin 2510
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 5118
 
7.2%
금 4524
 
6.4%
용 3986
 
5.6%
이 3808
 
5.4%
사 3384
 
4.8%
공 3150
 
4.4%
료 3137
 
4.4%
하 2663
 
3.8%
비 2434
 
3.4%
도 1901
 
2.7%
Other values (137) 36887
52.0%
Common
ValueCountFrequency (%)
( 4487
33.6%
) 4487
33.6%
2 1255
 
9.4%
, 1007
 
7.5%
5 869
 
6.5%
852
 
6.4%
3 386
 
2.9%
Latin
ValueCountFrequency (%)
m 2510
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70992
81.7%
ASCII 15853
 
18.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 5118
 
7.2%
금 4524
 
6.4%
용 3986
 
5.6%
이 3808
 
5.4%
사 3384
 
4.8%
공 3150
 
4.4%
료 3137
 
4.4%
하 2663
 
3.8%
비 2434
 
3.4%
도 1901
 
2.7%
Other values (137) 36887
52.0%
ASCII
ValueCountFrequency (%)
( 4487
28.3%
) 4487
28.3%
m 2510
15.8%
2 1255
 
7.9%
, 1007
 
6.4%
5 869
 
5.5%
852
 
5.4%
3 386
 
2.4%

결의서구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도
6823 
하수도
1783 
물이용
1394 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도
2nd row상수도
3rd row상수도
4th row물이용
5th row상수도

Common Values

ValueCountFrequency (%)
상수도 6823
68.2%
하수도 1783
 
17.8%
물이용 1394
 
13.9%

Length

2024-04-18T06:09:57.031040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:09:57.113674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도 6823
68.2%
하수도 1783
 
17.8%
물이용 1394
 
13.9%

징수건수
Real number (ℝ)

ZEROS 

Distinct1357
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1228.7571
Minimum0
Maximum13471
Zeros1473
Zeros (%)14.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:57.205993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median23
Q3100
95-th percentile7682.4
Maximum13471
Range13471
Interquartile range (IQR)95

Descriptive statistics

Standard deviation2580.2638
Coefficient of variation (CV)2.0998973
Kurtosis3.5987174
Mean1228.7571
Median Absolute Deviation (MAD)22
Skewness2.1338877
Sum12287571
Variance6657761.1
MonotonicityNot monotonic
2024-04-18T06:09:57.323275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1473
 
14.7%
1 342
 
3.4%
2 234
 
2.3%
4 203
 
2.0%
6 201
 
2.0%
8 190
 
1.9%
3 168
 
1.7%
18 167
 
1.7%
11 162
 
1.6%
13 161
 
1.6%
Other values (1347) 6699
67.0%
ValueCountFrequency (%)
0 1473
14.7%
1 342
 
3.4%
2 234
 
2.3%
3 168
 
1.7%
4 203
 
2.0%
5 132
 
1.3%
6 201
 
2.0%
7 147
 
1.5%
8 190
 
1.9%
9 144
 
1.4%
ValueCountFrequency (%)
13471 2
 
< 0.1%
13428 2
 
< 0.1%
13347 2
 
< 0.1%
12830 12
0.1%
12570 3
 
< 0.1%
12545 1
 
< 0.1%
12544 2
 
< 0.1%
10930 14
0.1%
10877 2
 
< 0.1%
10851 1
 
< 0.1%

징수금액
Real number (ℝ)

ZEROS 

Distinct4274
Distinct (%)42.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.4367983 × 108
Minimum-4.6989706 × 108
Maximum6.7969876 × 109
Zeros955
Zeros (%)9.6%
Negative530
Negative (%)5.3%
Memory size166.0 KiB
2024-04-18T06:09:57.426851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.6989706 × 108
5-th percentile-5130.5
Q1556692.5
median7637400
Q391505602
95-th percentile9.0580564 × 108
Maximum6.7969876 × 109
Range7.2668847 × 109
Interquartile range (IQR)90948910

Descriptive statistics

Standard deviation3.5732525 × 108
Coefficient of variation (CV)2.4869547
Kurtosis110.71496
Mean1.4367983 × 108
Median Absolute Deviation (MAD)7637400
Skewness7.389916
Sum1.4367983 × 1012
Variance1.2768133 × 1017
MonotonicityNot monotonic
2024-04-18T06:09:57.907317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 955
 
9.6%
247594260 17
 
0.2%
494000 17
 
0.2%
1018000 16
 
0.2%
310000 16
 
0.2%
7528380 16
 
0.2%
19513800 15
 
0.1%
33422500 15
 
0.1%
119000 15
 
0.1%
654120 15
 
0.1%
Other values (4264) 8903
89.0%
ValueCountFrequency (%)
-469897060 8
0.1%
-76492800 1
 
< 0.1%
-12276100 1
 
< 0.1%
-11800040 4
< 0.1%
-7691310 2
 
< 0.1%
-5547070 1
 
< 0.1%
-5226360 3
 
< 0.1%
-5007200 7
0.1%
-4358968 4
< 0.1%
-2350750 5
0.1%
ValueCountFrequency (%)
6796987630 9
0.1%
2812446852 2
 
< 0.1%
2491222000 3
 
< 0.1%
1711088890 1
 
< 0.1%
1647383000 4
< 0.1%
1611996680 3
 
< 0.1%
1590805450 4
< 0.1%
1577055470 3
 
< 0.1%
1576048540 3
 
< 0.1%
1567166400 3
 
< 0.1%

수납건수
Real number (ℝ)

ZEROS 

Distinct1494
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1029.1807
Minimum0
Maximum12306
Zeros140
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:58.051196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median30
Q3255
95-th percentile6534.7
Maximum12306
Range12306
Interquartile range (IQR)245

Descriptive statistics

Standard deviation2191.939
Coefficient of variation (CV)2.1297902
Kurtosis4.2844338
Mean1029.1807
Median Absolute Deviation (MAD)26
Skewness2.274381
Sum10291807
Variance4804596.4
MonotonicityNot monotonic
2024-04-18T06:09:58.172036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 545
 
5.5%
2 336
 
3.4%
4 262
 
2.6%
3 247
 
2.5%
6 220
 
2.2%
8 199
 
2.0%
5 187
 
1.9%
11 186
 
1.9%
17 173
 
1.7%
7 172
 
1.7%
Other values (1484) 7473
74.7%
ValueCountFrequency (%)
0 140
 
1.4%
1 545
5.5%
2 336
3.4%
3 247
2.5%
4 262
2.6%
5 187
 
1.9%
6 220
2.2%
7 172
 
1.7%
8 199
 
2.0%
9 148
 
1.5%
ValueCountFrequency (%)
12306 2
< 0.1%
12197 2
< 0.1%
12098 3
< 0.1%
11997 2
< 0.1%
11632 2
< 0.1%
10957 1
 
< 0.1%
10735 1
 
< 0.1%
10724 1
 
< 0.1%
10648 1
 
< 0.1%
10645 1
 
< 0.1%

수납금액
Real number (ℝ)

ZEROS 

Distinct4969
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.3934035 × 108
Minimum0
Maximum5.6351435 × 109
Zeros139
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:58.304088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile40163.5
Q11012600
median8768790
Q377275270
95-th percentile8.8882593 × 108
Maximum5.6351435 × 109
Range5.6351435 × 109
Interquartile range (IQR)76262670

Descriptive statistics

Standard deviation3.3570241 × 108
Coefficient of variation (CV)2.409226
Kurtosis68.563265
Mean1.3934035 × 108
Median Absolute Deviation (MAD)8667680
Skewness5.8303499
Sum1.3934035 × 1012
Variance1.1269611 × 1017
MonotonicityNot monotonic
2024-04-18T06:09:58.420298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 139
 
1.4%
103358340 17
 
0.2%
1918000 16
 
0.2%
1018000 16
 
0.2%
7531380 16
 
0.2%
33425500 15
 
0.1%
19479800 15
 
0.1%
64842840 15
 
0.1%
668120 15
 
0.1%
587250 15
 
0.1%
Other values (4959) 9721
97.2%
ValueCountFrequency (%)
0 139
1.4%
10 1
 
< 0.1%
20 1
 
< 0.1%
140 2
 
< 0.1%
300 1
 
< 0.1%
330 1
 
< 0.1%
440 1
 
< 0.1%
450 3
 
< 0.1%
580 2
 
< 0.1%
590 1
 
< 0.1%
ValueCountFrequency (%)
5635143480 9
0.1%
2812446852 2
 
< 0.1%
2491222000 3
 
< 0.1%
1653042930 1
 
< 0.1%
1647383000 4
< 0.1%
1617395590 4
< 0.1%
1590072080 1
 
< 0.1%
1570517010 3
 
< 0.1%
1566557430 3
 
< 0.1%
1565952030 3
 
< 0.1%

당월이중수납건수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.182
Minimum0
Maximum8
Zeros8966
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:58.510484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.64180775
Coefficient of variation (CV)3.5264162
Kurtosis32.849394
Mean0.182
Median Absolute Deviation (MAD)0
Skewness4.93426
Sum1820
Variance0.41191719
MonotonicityNot monotonic
2024-04-18T06:09:58.614271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 8966
89.7%
1 549
 
5.5%
2 309
 
3.1%
3 103
 
1.0%
4 50
 
0.5%
5 9
 
0.1%
8 7
 
0.1%
6 6
 
0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 8966
89.7%
1 549
 
5.5%
2 309
 
3.1%
3 103
 
1.0%
4 50
 
0.5%
5 9
 
0.1%
6 6
 
0.1%
7 1
 
< 0.1%
8 7
 
0.1%
ValueCountFrequency (%)
8 7
 
0.1%
7 1
 
< 0.1%
6 6
 
0.1%
5 9
 
0.1%
4 50
 
0.5%
3 103
 
1.0%
2 309
 
3.1%
1 549
 
5.5%
0 8966
89.7%

당월이중수납금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct549
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16529.674
Minimum0
Maximum7903350
Zeros8966
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:58.720520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile42380
Maximum7903350
Range7903350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation166342.18
Coefficient of variation (CV)10.063246
Kurtosis998.8761
Mean16529.674
Median Absolute Deviation (MAD)0
Skewness27.645471
Sum1.6529674 × 108
Variance2.7669721 × 1010
MonotonicityNot monotonic
2024-04-18T06:09:58.852687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8966
89.7%
2380 12
 
0.1%
2400 11
 
0.1%
16640 10
 
0.1%
11660 9
 
0.1%
120720 8
 
0.1%
52080 8
 
0.1%
3580 5
 
0.1%
52280 5
 
0.1%
29320 5
 
0.1%
Other values (539) 961
 
9.6%
ValueCountFrequency (%)
0 8966
89.7%
140 3
 
< 0.1%
300 1
 
< 0.1%
350 1
 
< 0.1%
440 1
 
< 0.1%
450 1
 
< 0.1%
460 1
 
< 0.1%
740 3
 
< 0.1%
1060 4
 
< 0.1%
1200 2
 
< 0.1%
ValueCountFrequency (%)
7903350 1
 
< 0.1%
5481930 4
< 0.1%
2724760 1
 
< 0.1%
2215200 1
 
< 0.1%
2168400 1
 
< 0.1%
2078880 3
< 0.1%
1741770 1
 
< 0.1%
1561680 3
< 0.1%
1512260 3
< 0.1%
1298470 1
 
< 0.1%

불납결손건수
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

2024-04-18T06:09:58.973489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:09:59.040711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

불납결손금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct287
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean107874.41
Minimum0
Maximum1.1723828 × 108
Zeros9419
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:59.118877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile5440
Maximum1.1723828 × 108
Range1.1723828 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2201424.1
Coefficient of variation (CV)20.407287
Kurtosis1730.6707
Mean107874.41
Median Absolute Deviation (MAD)0
Skewness37.369162
Sum1.0787441 × 109
Variance4.846268 × 1012
MonotonicityNot monotonic
2024-04-18T06:09:59.232716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9419
94.2%
2470 13
 
0.1%
1247400 12
 
0.1%
44670 12
 
0.1%
32580 12
 
0.1%
40429338 10
 
0.1%
28980 8
 
0.1%
14820 7
 
0.1%
12350 7
 
0.1%
7410 7
 
0.1%
Other values (277) 493
 
4.9%
ValueCountFrequency (%)
0 9419
94.2%
50 3
 
< 0.1%
70 4
 
< 0.1%
130 4
 
< 0.1%
140 4
 
< 0.1%
200 4
 
< 0.1%
240 1
 
< 0.1%
410 1
 
< 0.1%
420 1
 
< 0.1%
610 1
 
< 0.1%
ValueCountFrequency (%)
117238280 2
 
< 0.1%
42858390 1
 
< 0.1%
40429338 10
0.1%
24708130 1
 
< 0.1%
19224330 1
 
< 0.1%
16064240 1
 
< 0.1%
11716620 1
 
< 0.1%
11495980 1
 
< 0.1%
8714350 3
 
< 0.1%
8261590 2
 
< 0.1%

결손취소건수
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

2024-04-18T06:09:59.333872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:09:59.400314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

결손취소금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2023.743
Minimum0
Maximum5226360
Zeros9944
Zeros (%)99.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:59.468595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5226360
Range5226360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91534.467
Coefficient of variation (CV)45.230282
Kurtosis3184.788
Mean2023.743
Median Absolute Deviation (MAD)0
Skewness55.988412
Sum20237430
Variance8.3785586 × 109
MonotonicityNot monotonic
2024-04-18T06:09:59.566732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 9944
99.4%
3240 4
 
< 0.1%
33180 4
 
< 0.1%
238530 3
 
< 0.1%
14570 3
 
< 0.1%
135740 3
 
< 0.1%
5226360 3
 
< 0.1%
64180 3
 
< 0.1%
144740 3
 
< 0.1%
45180 3
 
< 0.1%
Other values (20) 27
 
0.3%
ValueCountFrequency (%)
0 9944
99.4%
280 1
 
< 0.1%
450 1
 
< 0.1%
470 1
 
< 0.1%
1230 1
 
< 0.1%
1890 1
 
< 0.1%
2780 1
 
< 0.1%
3240 4
 
< 0.1%
5160 1
 
< 0.1%
9950 2
 
< 0.1%
ValueCountFrequency (%)
5226360 3
< 0.1%
1069030 1
 
< 0.1%
596200 1
 
< 0.1%
238530 3
< 0.1%
144740 3
< 0.1%
135740 3
< 0.1%
126000 2
< 0.1%
104160 1
 
< 0.1%
80300 2
< 0.1%
64180 3
< 0.1%

반환건수
Real number (ℝ)

ZEROS 

Distinct28
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4471
Minimum0
Maximum100
Zeros8342
Zeros (%)83.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:09:59.659929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation2.0523213
Coefficient of variation (CV)4.5902959
Kurtosis699.81818
Mean0.4471
Median Absolute Deviation (MAD)0
Skewness19.885381
Sum4471
Variance4.2120228
MonotonicityNot monotonic
2024-04-18T06:09:59.752763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
0 8342
83.4%
1 727
 
7.3%
2 443
 
4.4%
3 220
 
2.2%
4 93
 
0.9%
5 57
 
0.6%
7 21
 
0.2%
6 20
 
0.2%
14 14
 
0.1%
10 11
 
0.1%
Other values (18) 52
 
0.5%
ValueCountFrequency (%)
0 8342
83.4%
1 727
 
7.3%
2 443
 
4.4%
3 220
 
2.2%
4 93
 
0.9%
5 57
 
0.6%
6 20
 
0.2%
7 21
 
0.2%
8 8
 
0.1%
9 10
 
0.1%
ValueCountFrequency (%)
100 1
 
< 0.1%
49 1
 
< 0.1%
46 3
< 0.1%
39 1
 
< 0.1%
38 1
 
< 0.1%
29 1
 
< 0.1%
24 1
 
< 0.1%
23 1
 
< 0.1%
21 5
0.1%
19 1
 
< 0.1%

반환금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct693
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean540511.16
Minimum-227882
Maximum4.8173813 × 108
Zeros8342
Zeros (%)83.4%
Negative9
Negative (%)0.1%
Memory size166.0 KiB
2024-04-18T06:09:59.856501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-227882
5-th percentile0
Q10
median0
Q30
95-th percentile338480
Maximum4.8173813 × 108
Range4.8196601 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13667698
Coefficient of variation (CV)25.286616
Kurtosis1227.015
Mean540511.16
Median Absolute Deviation (MAD)0
Skewness34.930708
Sum5.4051116 × 109
Variance1.8680597 × 1014
MonotonicityNot monotonic
2024-04-18T06:09:59.964262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8342
83.4%
7000 107
 
1.1%
14000 54
 
0.5%
1330 29
 
0.3%
77480 14
 
0.1%
98000 13
 
0.1%
8010 13
 
0.1%
2927000 13
 
0.1%
114390 12
 
0.1%
4547590 12
 
0.1%
Other values (683) 1391
 
13.9%
ValueCountFrequency (%)
-227882 9
 
0.1%
0 8342
83.4%
140 1
 
< 0.1%
150 5
 
0.1%
300 1
 
< 0.1%
450 1
 
< 0.1%
460 1
 
< 0.1%
740 1
 
< 0.1%
1040 1
 
< 0.1%
1060 1
 
< 0.1%
ValueCountFrequency (%)
481738130 8
0.1%
25804630 7
0.1%
18706120 3
 
< 0.1%
17034930 4
 
< 0.1%
14387750 11
0.1%
13988240 8
0.1%
12276100 1
 
< 0.1%
9174210 5
0.1%
7904900 1
 
< 0.1%
7443335 10
0.1%

체납이중수납건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9755 
1
 
223
2
 
22

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 9755
97.5%
1 223
 
2.2%
2 22
 
0.2%

Length

2024-04-18T06:10:00.067675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:10:00.153515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9755
97.5%
1 223
 
2.2%
2 22
 
0.2%

체납이중수납금액
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1014.104
Minimum0
Maximum306030
Zeros9755
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:10:00.235620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum306030
Range306030
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10930.49
Coefficient of variation (CV)10.77847
Kurtosis357.70003
Mean1014.104
Median Absolute Deviation (MAD)0
Skewness16.899722
Sum10141040
Variance1.1947561 × 108
MonotonicityNot monotonic
2024-04-18T06:10:00.338378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9755
97.5%
2470 20
 
0.2%
15820 7
 
0.1%
22240 7
 
0.1%
50050 5
 
0.1%
25950 4
 
< 0.1%
306030 4
 
< 0.1%
174270 4
 
< 0.1%
8680 4
 
< 0.1%
64270 4
 
< 0.1%
Other values (116) 186
 
1.9%
ValueCountFrequency (%)
0 9755
97.5%
60 1
 
< 0.1%
160 1
 
< 0.1%
300 1
 
< 0.1%
310 3
 
< 0.1%
390 2
 
< 0.1%
590 1
 
< 0.1%
610 1
 
< 0.1%
760 1
 
< 0.1%
1090 1
 
< 0.1%
ValueCountFrequency (%)
306030 4
< 0.1%
247600 1
 
< 0.1%
190460 3
< 0.1%
177860 1
 
< 0.1%
174270 4
< 0.1%
148740 1
 
< 0.1%
136780 1
 
< 0.1%
121560 3
< 0.1%
119920 1
 
< 0.1%
113560 4
< 0.1%

과오건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9614 
1
 
354
2
 
32

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 9614
96.1%
1 354
 
3.5%
2 32
 
0.3%

Length

2024-04-18T06:10:00.437054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:10:00.513560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9614
96.1%
1 354
 
3.5%
2 32
 
0.3%

과오금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct225
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2728.779
Minimum-175940
Maximum6749000
Zeros9614
Zeros (%)96.1%
Negative8
Negative (%)0.1%
Memory size166.0 KiB
2024-04-18T06:10:00.595372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175940
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6749000
Range6924940
Interquartile range (IQR)0

Descriptive statistics

Standard deviation71280.151
Coefficient of variation (CV)26.121628
Kurtosis8031.5907
Mean2728.779
Median Absolute Deviation (MAD)0
Skewness85.442296
Sum27287790
Variance5.0808599 × 109
MonotonicityNot monotonic
2024-04-18T06:10:00.709484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9614
96.1%
2470 7
 
0.1%
121570 5
 
0.1%
40790 5
 
0.1%
50380 4
 
< 0.1%
31810 4
 
< 0.1%
81620 4
 
< 0.1%
165220 4
 
< 0.1%
8240 4
 
< 0.1%
60 4
 
< 0.1%
Other values (215) 345
 
3.5%
ValueCountFrequency (%)
-175940 2
 
< 0.1%
-122000 1
 
< 0.1%
-62360 3
 
< 0.1%
-54820 1
 
< 0.1%
-9460 1
 
< 0.1%
0 9614
96.1%
10 1
 
< 0.1%
60 4
 
< 0.1%
70 3
 
< 0.1%
90 2
 
< 0.1%
ValueCountFrequency (%)
6749000 1
 
< 0.1%
805720 1
 
< 0.1%
670480 1
 
< 0.1%
628040 3
< 0.1%
496480 1
 
< 0.1%
423940 1
 
< 0.1%
388180 1
 
< 0.1%
354040 1
 
< 0.1%
333840 3
< 0.1%
316500 1
 
< 0.1%

충당건수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9954 
1
 
35
2
 
4
4
 
4
3
 
3

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 9954
99.5%
1 35
 
0.4%
2 4
 
< 0.1%
4 4
 
< 0.1%
3 3
 
< 0.1%

Length

2024-04-18T06:10:00.811506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T06:10:00.887984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9954
99.5%
1 35
 
0.4%
2 4
 
< 0.1%
4 4
 
< 0.1%
3 3
 
< 0.1%

충당금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct25
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean576.884
Minimum0
Maximum851600
Zeros9954
Zeros (%)99.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T06:10:00.970121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum851600
Range851600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation16409.152
Coefficient of variation (CV)28.444457
Kurtosis1550.9021
Mean576.884
Median Absolute Deviation (MAD)0
Skewness37.600791
Sum5768840
Variance2.6926028 × 108
MonotonicityNot monotonic
2024-04-18T06:10:01.064355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 9954
99.5%
23920 5
 
0.1%
22240 4
 
< 0.1%
614410 4
 
< 0.1%
52080 4
 
< 0.1%
31850 4
 
< 0.1%
6780 3
 
< 0.1%
18100 2
 
< 0.1%
2470 2
 
< 0.1%
241800 2
 
< 0.1%
Other values (15) 16
 
0.2%
ValueCountFrequency (%)
0 9954
99.5%
2470 2
 
< 0.1%
3270 1
 
< 0.1%
3960 1
 
< 0.1%
4390 1
 
< 0.1%
6460 1
 
< 0.1%
6780 3
 
< 0.1%
9860 1
 
< 0.1%
14160 1
 
< 0.1%
18100 2
 
< 0.1%
ValueCountFrequency (%)
851600 1
 
< 0.1%
614410 4
< 0.1%
305110 2
< 0.1%
302630 1
 
< 0.1%
241800 2
< 0.1%
179340 1
 
< 0.1%
72540 1
 
< 0.1%
60170 1
 
< 0.1%
52080 4
< 0.1%
46010 1
 
< 0.1%

Sample

연번사업소코드사업소명구코드구명세입년월예산과목결의서구분징수건수징수금액수납건수수납금액당월이중수납건수당월이중수납금액불납결손건수불납결손금액결손취소건수결손취소금액반환건수반환금액체납이중수납건수체납이중수납금액과오건수과오금액충당건수충당금액
52675268304부산진 사업소230부산진구2023-12시공비(신설,비정액제)상수도291406685402914066854000000000000000
72507251307북부사업소530사상구2023-03설계료(32mm이상)상수도161190001611900000000000000000
80518052308해운대사업소350해운대구2023-06설계료(25mm이하)상수도353540003434400000000000000000
47264727304부산진 사업소230부산진구2023-02물이용부담금물이용0-12870602872949000000000000000
32543255301중동부사업소170동구2023-07욕탕용 사용료상수도4128062970412739516000000000000000
85058506309사하사업소380사하구2023-02수용가미수금이월액상수도0-3247808145815229000012474000000000000
48174818304부산진 사업소230부산진구2023-04시공비(기타개조공사)상수도3331167503317504500000000414387750000000
82198220308해운대사업소350해운대구2023-09정수해제료(25mm이하)상수도463180004229800000000000000000
31923193301중동부사업소170동구2023-05수용가미수금이월액상수도0-49350253735183000010578000000000000
97489749311강서사업소440강서구2023-11김해시 원정수판매수입상수도2348677050234867705000000000000000
연번사업소코드사업소명구코드구명세입년월예산과목결의서구분징수건수징수금액수납건수수납금액당월이중수납건수당월이중수납금액불납결손건수불납결손금액결손취소건수결손취소금액반환건수반환금액체납이중수납건수체납이중수납금액과오건수과오금액충당건수충당금액
1034510346312기장사업소710기장군2023-09수용가미수금이월액상수도006485879000000000000000
71027103307북부사업소530사상구2023-01복구비(구경확대)상수도2337083950233708395000000000000000
61956196306남부사업소500수영구2023-05준공검사료(공동주택)상수도48784733049786433000000017000000000
70437044307북부사업소320북구2023-12욕탕용 사용료상수도3722682340331817611000000000000000
69776978307북부사업소320북구2023-10자재비(이동공사)상수도427370804273708000000000000000
59815982306남부사업소500수영구2023-01기타미수금이월액상수도107840400000000000000000
49514952304부산진 사업소230부산진구2023-06준공검사수수료(개조25mm이하)상수도4833422500483342550000000000000000
44074408303영도사업소200영도구2023-08수용가미수금이월액상수도0039317640000611400000000000
99539954312기장사업소710기장군2023-02복구비(구경확대)상수도1136913980113691398000000000000000
67576758307북부사업소320북구2023-04물이용부담금물이용00242526000000000000000