Overview

Dataset statistics

Number of variables30
Number of observations1178
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory306.1 KiB
Average record size in memory266.1 B

Variable types

Numeric18
Categorical10
DateTime1
Boolean1

Dataset

Description부산광역시 상수도사업본부에서 상하수도 요금 계산 및 징수를 위해 운영하는 수용가정보시스템에 사용되는 간단e납부 시스템 연계(과오납내역 송신 자료)자료입니다.
Author부산광역시 상수도사업본부
URLhttps://www.data.go.kr/data/15100344/fileData.do

Alerts

총자료건수 has constant value ""Constant
세목명 has constant value ""Constant
과오납사유명 has constant value ""Constant
과오납지하수납부액 has constant value ""Constant
과오납지하수환부합계 has constant value ""Constant
과오납지하수과오납액 has constant value ""Constant
과오납지하수이자액 has constant value ""Constant
전송처리여부 has constant value ""Constant
총충당액 is highly imbalanced (98.3%)Imbalance
과오납년도 is highly imbalanced (79.0%)Imbalance
과세년도 is highly imbalanced (69.4%)Imbalance
연번 has unique valuesUnique
총환부합계 has 195 (16.6%) zerosZeros
총이자액 has 1052 (89.3%) zerosZeros
과오납상수도납부액 has 40 (3.4%) zerosZeros
과오납상수도환부합계 has 218 (18.5%) zerosZeros
과오납상수도과오납액 has 40 (3.4%) zerosZeros
과오납상수도이자액 has 1057 (89.7%) zerosZeros
과오납하수도납부액 has 367 (31.2%) zerosZeros
과오납하수도환부합계 has 387 (32.9%) zerosZeros
과오납하수도과오납액 has 367 (31.2%) zerosZeros
과오납하수도이자액 has 1131 (96.0%) zerosZeros
과오납물이용분담금납부액 has 174 (14.8%) zerosZeros
과오납물이용분담금환부합계 has 341 (28.9%) zerosZeros
과오납물이용분담금과오납액 has 174 (14.8%) zerosZeros
과오납물이용분담금이자액 has 1149 (97.5%) zerosZeros

Reproduction

Analysis started2024-03-14 18:00:53.543924
Analysis finished2024-03-14 18:00:54.018644
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean589.5
Minimum1
Maximum1178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:00:54.557736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59.85
Q1295.25
median589.5
Q3883.75
95-th percentile1119.15
Maximum1178
Range1177
Interquartile range (IQR)588.5

Descriptive statistics

Standard deviation340.20362
Coefficient of variation (CV)0.57710537
Kurtosis-1.2
Mean589.5
Median Absolute Deviation (MAD)294.5
Skewness0
Sum694431
Variance115738.5
MonotonicityStrictly increasing
2024-03-15T03:00:55.104445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
775 1
 
0.1%
791 1
 
0.1%
790 1
 
0.1%
789 1
 
0.1%
788 1
 
0.1%
787 1
 
0.1%
786 1
 
0.1%
785 1
 
0.1%
784 1
 
0.1%
Other values (1168) 1168
99.2%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1178 1
0.1%
1177 1
0.1%
1176 1
0.1%
1175 1
0.1%
1174 1
0.1%
1173 1
0.1%
1172 1
0.1%
1171 1
0.1%
1170 1
0.1%
1169 1
0.1%

총자료건수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
1
1178 

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 1178
100.0%

Length

2024-03-15T03:00:55.539892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:00:55.882424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 1178
100.0%

총납부금액
Real number (ℝ)

Distinct546
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169604.51
Minimum310
Maximum13965350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:00:56.203718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum310
5-th percentile2380
Q115520
median39555
Q3114630
95-th percentile653352
Maximum13965350
Range13965040
Interquartile range (IQR)99110

Descriptive statistics

Standard deviation597178.2
Coefficient of variation (CV)3.5210043
Kurtosis260.30721
Mean169604.51
Median Absolute Deviation (MAD)32555
Skewness13.334982
Sum1.9979411 × 108
Variance3.566218 × 1011
MonotonicityNot monotonic
2024-03-15T03:00:56.550028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2380 64
 
5.4%
2400 23
 
2.0%
2470 17
 
1.4%
19460 15
 
1.3%
27320 11
 
0.9%
2180 9
 
0.8%
15520 9
 
0.8%
22760 8
 
0.7%
4780 7
 
0.6%
24700 7
 
0.6%
Other values (536) 1008
85.6%
ValueCountFrequency (%)
310 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1200 2
 
0.2%
1930 1
 
0.1%
2180 9
 
0.8%
2200 1
 
0.1%
2380 64
5.4%
2390 2
 
0.2%
2400 23
 
2.0%
ValueCountFrequency (%)
13965350 1
 
0.1%
6062000 1
 
0.1%
5043010 1
 
0.1%
3959620 2
0.2%
3852650 2
0.2%
3692840 1
 
0.1%
3127010 2
0.2%
2318250 1
 
0.1%
1982360 2
0.2%
1941930 3
0.3%

총환부합계
Real number (ℝ)

ZEROS 

Distinct414
Distinct (%)35.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean138345.2
Minimum0
Maximum13965350
Zeros195
Zeros (%)16.6%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:00:56.887245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12470
median28620
Q389590
95-th percentile542320
Maximum13965350
Range13965350
Interquartile range (IQR)87120

Descriptive statistics

Standard deviation559095.22
Coefficient of variation (CV)4.0413054
Kurtosis332.19715
Mean138345.2
Median Absolute Deviation (MAD)27250
Skewness15.283216
Sum1.6297065 × 108
Variance3.1258746 × 1011
MonotonicityNot monotonic
2024-03-15T03:00:57.336942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 195
 
16.6%
2380 55
 
4.7%
2400 21
 
1.8%
2470 17
 
1.4%
19460 15
 
1.3%
27320 11
 
0.9%
15520 9
 
0.8%
2180 8
 
0.7%
12880 7
 
0.6%
30160 7
 
0.6%
Other values (404) 833
70.7%
ValueCountFrequency (%)
0 195
16.6%
310 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1200 2
 
0.2%
1930 1
 
0.1%
2180 8
 
0.7%
2200 1
 
0.1%
2380 55
 
4.7%
2390 2
 
0.2%
ValueCountFrequency (%)
13965350 1
 
0.1%
5043010 1
 
0.1%
3959620 2
0.2%
3852650 2
0.2%
3692840 1
 
0.1%
3127010 2
0.2%
1982360 2
0.2%
1941930 3
0.3%
1673290 3
0.3%
1621460 2
0.2%

총과오납액
Real number (ℝ)

Distinct546
Distinct (%)46.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169604.51
Minimum310
Maximum13965350
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:00:57.761394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum310
5-th percentile2380
Q115520
median39555
Q3114630
95-th percentile653352
Maximum13965350
Range13965040
Interquartile range (IQR)99110

Descriptive statistics

Standard deviation597178.2
Coefficient of variation (CV)3.5210043
Kurtosis260.30721
Mean169604.51
Median Absolute Deviation (MAD)32555
Skewness13.334982
Sum1.9979411 × 108
Variance3.566218 × 1011
MonotonicityNot monotonic
2024-03-15T03:00:58.209861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2380 64
 
5.4%
2400 23
 
2.0%
2470 17
 
1.4%
19460 15
 
1.3%
27320 11
 
0.9%
2180 9
 
0.8%
15520 9
 
0.8%
22760 8
 
0.7%
4780 7
 
0.6%
24700 7
 
0.6%
Other values (536) 1008
85.6%
ValueCountFrequency (%)
310 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1200 2
 
0.2%
1930 1
 
0.1%
2180 9
 
0.8%
2200 1
 
0.1%
2380 64
5.4%
2390 2
 
0.2%
2400 23
 
2.0%
ValueCountFrequency (%)
13965350 1
 
0.1%
6062000 1
 
0.1%
5043010 1
 
0.1%
3959620 2
0.2%
3852650 2
0.2%
3692840 1
 
0.1%
3127010 2
0.2%
2318250 1
 
0.1%
1982360 2
0.2%
1941930 3
0.3%

총이자액
Real number (ℝ)

ZEROS 

Distinct30
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.453311
Minimum0
Maximum1210
Zeros1052
Zeros (%)89.3%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:00:58.615014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile40
Maximum1210
Range1210
Interquartile range (IQR)0

Descriptive statistics

Standard deviation82.687494
Coefficient of variation (CV)6.6398001
Kurtosis124.77463
Mean12.453311
Median Absolute Deviation (MAD)0
Skewness10.52638
Sum14670
Variance6837.2217
MonotonicityNot monotonic
2024-03-15T03:00:59.017300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 1052
89.3%
10 30
 
2.5%
20 22
 
1.9%
40 13
 
1.1%
70 10
 
0.8%
30 10
 
0.8%
50 6
 
0.5%
60 3
 
0.3%
90 3
 
0.3%
80 2
 
0.2%
Other values (20) 27
 
2.3%
ValueCountFrequency (%)
0 1052
89.3%
10 30
 
2.5%
20 22
 
1.9%
30 10
 
0.8%
40 13
 
1.1%
50 6
 
0.5%
60 3
 
0.3%
70 10
 
0.8%
80 2
 
0.2%
90 3
 
0.3%
ValueCountFrequency (%)
1210 1
0.1%
1190 1
0.1%
1030 1
0.1%
1000 1
0.1%
730 2
0.2%
660 1
0.1%
620 1
0.1%
530 1
0.1%
400 2
0.2%
330 1
0.1%

총충당액
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
0
1174 
104550
 
1
31230
 
1
1538550
 
1
64160
 
1

Length

Max length7
Median length1
Mean length1.016129
Min length1

Unique

Unique4 ?
Unique (%)0.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1174
99.7%
104550 1
 
0.1%
31230 1
 
0.1%
1538550 1
 
0.1%
64160 1
 
0.1%

Length

2024-03-15T03:00:59.449193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:00:59.786750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1174
99.7%
104550 1
 
0.1%
31230 1
 
0.1%
1538550 1
 
0.1%
64160 1
 
0.1%

생성일자
Date

Distinct193
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-27 00:00:00
2024-03-15T03:01:00.121902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T03:01:00.637914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

과오납년도
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023
1139 
2022
 
39

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 1139
96.7%
2022 39
 
3.3%

Length

2024-03-15T03:01:00.947233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:01.116337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 1139
96.7%
2022 39
 
3.3%

과세년도
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
2023
1062 
2022
112 
2020
 
4

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023
2nd row2023
3rd row2023
4th row2023
5th row2023

Common Values

ValueCountFrequency (%)
2023 1062
90.2%
2022 112
 
9.5%
2020 4
 
0.3%

Length

2024-03-15T03:01:01.292711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:01.514099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023 1062
90.2%
2022 112
 
9.5%
2020 4
 
0.3%

과세월
Real number (ℝ)

Distinct12
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.4940577
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:01.732808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q310
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)6

Descriptive statistics

Standard deviation3.3877758
Coefficient of variation (CV)0.52167319
Kurtosis-1.2134707
Mean6.4940577
Median Absolute Deviation (MAD)3
Skewness0.042071226
Sum7650
Variance11.477025
MonotonicityNot monotonic
2024-03-15T03:01:01.945447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
5 130
11.0%
10 128
10.9%
4 110
9.3%
2 106
9.0%
9 100
8.5%
12 98
8.3%
3 95
8.1%
7 88
7.5%
6 88
7.5%
8 84
7.1%
Other values (2) 151
12.8%
ValueCountFrequency (%)
1 77
6.5%
2 106
9.0%
3 95
8.1%
4 110
9.3%
5 130
11.0%
6 88
7.5%
7 88
7.5%
8 84
7.1%
9 100
8.5%
10 128
10.9%
ValueCountFrequency (%)
12 98
8.3%
11 74
6.3%
10 128
10.9%
9 100
8.5%
8 84
7.1%
7 88
7.5%
6 88
7.5%
5 130
11.0%
4 110
9.3%
3 95
8.1%

세목명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
상·하수도사용료
1178 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상·하수도사용료
2nd row상·하수도사용료
3rd row상·하수도사용료
4th row상·하수도사용료
5th row상·하수도사용료

Common Values

ValueCountFrequency (%)
상·하수도사용료 1178
100.0%

Length

2024-03-15T03:01:02.158185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:02.319429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상·하수도사용료 1178
100.0%

과오납사유명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
이중수납
1178 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
이중수납 1178
100.0%

Length

2024-03-15T03:01:02.486545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:02.679638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
이중수납 1178
100.0%

과오납상수도납부액
Real number (ℝ)

ZEROS 

Distinct353
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92900.679
Minimum0
Maximum5445690
Zeros40
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:03.037886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2353
Q19520
median22820
Q367425
95-th percentile365710
Maximum5445690
Range5445690
Interquartile range (IQR)57905

Descriptive statistics

Standard deviation299133.6
Coefficient of variation (CV)3.2199291
Kurtosis180.1729
Mean92900.679
Median Absolute Deviation (MAD)19720
Skewness11.409713
Sum1.09437 × 108
Variance8.9480913 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:03.461666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2380 66
 
5.6%
0 40
 
3.4%
2400 23
 
2.0%
11660 19
 
1.6%
2470 17
 
1.4%
15920 16
 
1.4%
9520 15
 
1.3%
16640 15
 
1.3%
5940 11
 
0.9%
10940 9
 
0.8%
Other values (343) 947
80.4%
ValueCountFrequency (%)
0 40
3.4%
310 2
 
0.2%
390 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1930 1
 
0.1%
2180 9
 
0.8%
2200 1
 
0.1%
2380 66
5.6%
2390 2
 
0.2%
ValueCountFrequency (%)
5445690 2
 
0.2%
2078880 2
 
0.2%
1561680 3
0.3%
1512260 3
0.3%
1450760 1
 
0.1%
1238950 3
0.3%
1099100 3
0.3%
1058960 5
0.4%
890780 3
0.3%
663340 4
0.3%

과오납상수도환부합계
Real number (ℝ)

ZEROS 

Distinct354
Distinct (%)30.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67248.098
Minimum0
Maximum5445690
Zeros218
Zeros (%)18.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:04.022412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12392.5
median16640
Q349000
95-th percentile292460
Maximum5445690
Range5445690
Interquartile range (IQR)46607.5

Descriptive statistics

Standard deviation230113.48
Coefficient of variation (CV)3.4218585
Kurtosis266.98591
Mean67248.098
Median Absolute Deviation (MAD)16640
Skewness13.334574
Sum79218260
Variance5.2952212 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:04.287100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 218
 
18.5%
2380 57
 
4.8%
2400 22
 
1.9%
2470 17
 
1.4%
11660 16
 
1.4%
15920 14
 
1.2%
9520 13
 
1.1%
16640 13
 
1.1%
5940 9
 
0.8%
2180 8
 
0.7%
Other values (344) 791
67.1%
ValueCountFrequency (%)
0 218
18.5%
310 2
 
0.2%
390 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1930 1
 
0.1%
2180 8
 
0.7%
2200 1
 
0.1%
2380 57
 
4.8%
2390 2
 
0.2%
ValueCountFrequency (%)
5445690 1
 
0.1%
2078880 1
 
0.1%
1561680 2
0.2%
1512260 2
0.2%
1450760 1
 
0.1%
1238950 2
0.2%
1099100 2
0.2%
1058960 3
0.3%
890780 2
0.2%
663340 3
0.3%

과오납상수도과오납액
Real number (ℝ)

ZEROS 

Distinct353
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92900.679
Minimum0
Maximum5445690
Zeros40
Zeros (%)3.4%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:04.541218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2353
Q19520
median22820
Q367425
95-th percentile365710
Maximum5445690
Range5445690
Interquartile range (IQR)57905

Descriptive statistics

Standard deviation299133.6
Coefficient of variation (CV)3.2199291
Kurtosis180.1729
Mean92900.679
Median Absolute Deviation (MAD)19720
Skewness11.409713
Sum1.09437 × 108
Variance8.9480913 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:04.828761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2380 66
 
5.6%
0 40
 
3.4%
2400 23
 
2.0%
11660 19
 
1.6%
2470 17
 
1.4%
15920 16
 
1.4%
9520 15
 
1.3%
16640 15
 
1.3%
5940 11
 
0.9%
10940 9
 
0.8%
Other values (343) 947
80.4%
ValueCountFrequency (%)
0 40
3.4%
310 2
 
0.2%
390 2
 
0.2%
750 2
 
0.2%
1190 2
 
0.2%
1930 1
 
0.1%
2180 9
 
0.8%
2200 1
 
0.1%
2380 66
5.6%
2390 2
 
0.2%
ValueCountFrequency (%)
5445690 2
 
0.2%
2078880 2
 
0.2%
1561680 3
0.3%
1512260 3
0.3%
1450760 1
 
0.1%
1238950 3
0.3%
1099100 3
0.3%
1058960 5
0.4%
890780 3
0.3%
663340 4
0.3%

과오납상수도이자액
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1663837
Minimum0
Maximum1070
Zeros1057
Zeros (%)89.7%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:05.080220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile30
Maximum1070
Range1070
Interquartile range (IQR)0

Descriptive statistics

Standard deviation52.424963
Coefficient of variation (CV)6.4196056
Kurtosis181.50544
Mean8.1663837
Median Absolute Deviation (MAD)0
Skewness11.848071
Sum9620
Variance2748.3767
MonotonicityNot monotonic
2024-03-15T03:01:05.445145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 1057
89.7%
10 35
 
3.0%
20 20
 
1.7%
40 14
 
1.2%
30 11
 
0.9%
50 7
 
0.6%
60 5
 
0.4%
80 4
 
0.3%
70 3
 
0.3%
300 3
 
0.3%
Other values (11) 19
 
1.6%
ValueCountFrequency (%)
0 1057
89.7%
10 35
 
3.0%
20 20
 
1.7%
30 11
 
0.9%
40 14
 
1.2%
50 7
 
0.6%
60 5
 
0.4%
70 3
 
0.3%
80 4
 
0.3%
90 2
 
0.2%
ValueCountFrequency (%)
1070 1
 
0.1%
550 2
0.2%
480 2
0.2%
410 1
 
0.1%
340 3
0.3%
300 3
0.3%
240 1
 
0.1%
160 1
 
0.1%
150 2
0.2%
130 2
0.2%

과오납하수도납부액
Real number (ℝ)

ZEROS 

Distinct298
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63096.138
Minimum0
Maximum7903350
Zeros367
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:05.692860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8770
Q330632.5
95-th percentile227700
Maximum7903350
Range7903350
Interquartile range (IQR)30632.5

Descriptive statistics

Standard deviation307477.08
Coefficient of variation (CV)4.8731522
Kurtosis374.1587
Mean63096.138
Median Absolute Deviation (MAD)8770
Skewness16.504989
Sum74327250
Variance9.4542156 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:05.998168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 367
31.2%
5840 19
 
1.6%
8540 15
 
1.3%
22760 12
 
1.0%
4040 11
 
0.9%
4500 11
 
0.9%
12840 10
 
0.8%
8100 10
 
0.8%
5400 10
 
0.8%
11320 9
 
0.8%
Other values (288) 704
59.8%
ValueCountFrequency (%)
0 367
31.2%
300 2
 
0.2%
350 2
 
0.2%
440 6
 
0.5%
460 1
 
0.1%
590 1
 
0.1%
1060 8
 
0.7%
1070 2
 
0.2%
1340 5
 
0.4%
1380 1
 
0.1%
ValueCountFrequency (%)
7903350 1
 
0.1%
2724760 1
 
0.1%
2215200 2
0.2%
2168400 2
0.2%
2074800 1
 
0.1%
1741770 2
0.2%
932100 4
0.3%
737100 2
0.2%
670760 4
0.3%
664500 2
0.2%

과오납하수도환부합계
Real number (ℝ)

ZEROS 

Distinct300
Distinct (%)25.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61167.445
Minimum0
Maximum7903350
Zeros387
Zeros (%)32.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:06.309816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8540
Q328440
95-th percentile220917
Maximum7903350
Range7903350
Interquartile range (IQR)28440

Descriptive statistics

Standard deviation305959.24
Coefficient of variation (CV)5.0019948
Kurtosis382.05349
Mean61167.445
Median Absolute Deviation (MAD)8540
Skewness16.744446
Sum72055250
Variance9.3611058 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:06.729391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 387
32.9%
5840 19
 
1.6%
8540 14
 
1.2%
4500 11
 
0.9%
4040 11
 
0.9%
5400 10
 
0.8%
22760 10
 
0.8%
9000 9
 
0.8%
3600 9
 
0.8%
8100 9
 
0.8%
Other values (290) 689
58.5%
ValueCountFrequency (%)
0 387
32.9%
300 2
 
0.2%
350 2
 
0.2%
440 6
 
0.5%
460 1
 
0.1%
590 1
 
0.1%
1060 8
 
0.7%
1070 2
 
0.2%
1340 5
 
0.4%
1380 1
 
0.1%
ValueCountFrequency (%)
7903350 1
 
0.1%
2724760 1
 
0.1%
2215200 2
0.2%
2168400 2
0.2%
2074800 1
 
0.1%
1741770 2
0.2%
932100 3
0.3%
737100 2
0.2%
670760 3
0.3%
664500 2
0.2%

과오납하수도과오납액
Real number (ℝ)

ZEROS 

Distinct298
Distinct (%)25.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63096.138
Minimum0
Maximum7903350
Zeros367
Zeros (%)31.2%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:07.259849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median8770
Q330632.5
95-th percentile227700
Maximum7903350
Range7903350
Interquartile range (IQR)30632.5

Descriptive statistics

Standard deviation307477.08
Coefficient of variation (CV)4.8731522
Kurtosis374.1587
Mean63096.138
Median Absolute Deviation (MAD)8770
Skewness16.504989
Sum74327250
Variance9.4542156 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:07.844719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 367
31.2%
5840 19
 
1.6%
8540 15
 
1.3%
22760 12
 
1.0%
4040 11
 
0.9%
4500 11
 
0.9%
12840 10
 
0.8%
8100 10
 
0.8%
5400 10
 
0.8%
11320 9
 
0.8%
Other values (288) 704
59.8%
ValueCountFrequency (%)
0 367
31.2%
300 2
 
0.2%
350 2
 
0.2%
440 6
 
0.5%
460 1
 
0.1%
590 1
 
0.1%
1060 8
 
0.7%
1070 2
 
0.2%
1340 5
 
0.4%
1380 1
 
0.1%
ValueCountFrequency (%)
7903350 1
 
0.1%
2724760 1
 
0.1%
2215200 2
0.2%
2168400 2
0.2%
2074800 1
 
0.1%
1741770 2
0.2%
932100 4
0.3%
737100 2
0.2%
670760 4
0.3%
664500 2
0.2%

과오납하수도이자액
Real number (ℝ)

ZEROS 

Distinct16
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4295416
Minimum0
Maximum680
Zeros1131
Zeros (%)96.0%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:08.258181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum680
Range680
Interquartile range (IQR)0

Descriptive statistics

Standard deviation34.354648
Coefficient of variation (CV)10.017271
Kurtosis234.44937
Mean3.4295416
Median Absolute Deviation (MAD)0
Skewness14.486422
Sum4040
Variance1180.2418
MonotonicityNot monotonic
2024-03-15T03:01:08.643351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 1131
96.0%
10 18
 
1.5%
20 8
 
0.7%
40 3
 
0.3%
30 3
 
0.3%
220 2
 
0.2%
50 2
 
0.2%
400 2
 
0.2%
90 2
 
0.2%
340 1
 
0.1%
Other values (6) 6
 
0.5%
ValueCountFrequency (%)
0 1131
96.0%
10 18
 
1.5%
20 8
 
0.7%
30 3
 
0.3%
40 3
 
0.3%
50 2
 
0.2%
60 1
 
0.1%
70 1
 
0.1%
90 2
 
0.2%
100 1
 
0.1%
ValueCountFrequency (%)
680 1
0.1%
580 1
0.1%
400 2
0.2%
340 1
0.1%
220 2
0.2%
140 1
0.1%
100 1
0.1%
90 2
0.2%
70 1
0.1%
60 1
0.1%

과오납물이용분담금납부액
Real number (ℝ)

ZEROS 

Distinct286
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13607.691
Minimum0
Maximum616310
Zeros174
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:09.130008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11360
median3920
Q310915
95-th percentile50582
Maximum616310
Range616310
Interquartile range (IQR)9555

Descriptive statistics

Standard deviation38224.088
Coefficient of variation (CV)2.8090062
Kurtosis113.29999
Mean13607.691
Median Absolute Deviation (MAD)3780
Skewness8.8833045
Sum16029860
Variance1.4610809 × 109
MonotonicityNot monotonic
2024-03-15T03:01:09.586785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
14.8%
140 24
 
2.0%
1960 23
 
2.0%
1500 22
 
1.9%
2860 15
 
1.3%
3160 15
 
1.3%
440 14
 
1.2%
1820 12
 
1.0%
740 12
 
1.0%
2560 12
 
1.0%
Other values (276) 855
72.6%
ValueCountFrequency (%)
0 174
14.8%
60 2
 
0.2%
100 2
 
0.2%
140 24
 
2.0%
150 2
 
0.2%
160 1
 
0.1%
300 3
 
0.3%
440 14
 
1.2%
450 4
 
0.3%
600 9
 
0.8%
ValueCountFrequency (%)
616310 2
 
0.2%
239370 2
 
0.2%
218760 3
0.3%
212210 5
0.4%
182740 3
0.3%
179000 3
0.3%
171990 3
0.3%
167280 1
 
0.1%
146290 3
0.3%
111820 2
 
0.2%

과오납물이용분담금환부합계
Real number (ℝ)

ZEROS 

Distinct288
Distinct (%)24.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9929.6604
Minimum0
Maximum616310
Zeros341
Zeros (%)28.9%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:10.106022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2860
Q38192.5
95-th percentile41090
Maximum616310
Range616310
Interquartile range (IQR)8192.5

Descriptive statistics

Standard deviation30020.744
Coefficient of variation (CV)3.0233404
Kurtosis158.27702
Mean9929.6604
Median Absolute Deviation (MAD)2860
Skewness10.146352
Sum11697140
Variance9.0124505 × 108
MonotonicityNot monotonic
2024-03-15T03:01:10.392419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 341
28.9%
140 23
 
2.0%
1960 19
 
1.6%
1500 19
 
1.6%
3160 13
 
1.1%
2860 13
 
1.1%
2560 11
 
0.9%
440 11
 
0.9%
740 10
 
0.8%
1060 10
 
0.8%
Other values (278) 708
60.1%
ValueCountFrequency (%)
0 341
28.9%
60 2
 
0.2%
100 2
 
0.2%
140 23
 
2.0%
150 2
 
0.2%
160 1
 
0.1%
300 3
 
0.3%
440 11
 
0.9%
450 3
 
0.3%
490 1
 
0.1%
ValueCountFrequency (%)
616310 1
 
0.1%
239370 1
 
0.1%
218760 2
0.2%
212210 3
0.3%
182740 2
0.2%
179000 2
0.2%
171990 2
0.2%
167280 1
 
0.1%
146290 2
0.2%
111820 2
0.2%

과오납물이용분담금과오납액
Real number (ℝ)

ZEROS 

Distinct286
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13607.691
Minimum0
Maximum616310
Zeros174
Zeros (%)14.8%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:10.931247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11360
median3920
Q310915
95-th percentile50582
Maximum616310
Range616310
Interquartile range (IQR)9555

Descriptive statistics

Standard deviation38224.088
Coefficient of variation (CV)2.8090062
Kurtosis113.29999
Mean13607.691
Median Absolute Deviation (MAD)3780
Skewness8.8833045
Sum16029860
Variance1.4610809 × 109
MonotonicityNot monotonic
2024-03-15T03:01:11.375991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 174
 
14.8%
140 24
 
2.0%
1960 23
 
2.0%
1500 22
 
1.9%
2860 15
 
1.3%
3160 15
 
1.3%
440 14
 
1.2%
1820 12
 
1.0%
740 12
 
1.0%
2560 12
 
1.0%
Other values (276) 855
72.6%
ValueCountFrequency (%)
0 174
14.8%
60 2
 
0.2%
100 2
 
0.2%
140 24
 
2.0%
150 2
 
0.2%
160 1
 
0.1%
300 3
 
0.3%
440 14
 
1.2%
450 4
 
0.3%
600 9
 
0.8%
ValueCountFrequency (%)
616310 2
 
0.2%
239370 2
 
0.2%
218760 3
0.3%
212210 5
0.4%
182740 3
0.3%
179000 3
0.3%
171990 3
0.3%
167280 1
 
0.1%
146290 3
0.3%
111820 2
 
0.2%

과오납물이용분담금이자액
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8573854
Minimum0
Maximum120
Zeros1149
Zeros (%)97.5%
Negative0
Negative (%)0.0%
Memory size10.5 KiB
2024-03-15T03:01:11.714167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum120
Range120
Interquartile range (IQR)0

Descriptive statistics

Standard deviation7.3064979
Coefficient of variation (CV)8.5218362
Kurtosis159.04343
Mean0.8573854
Median Absolute Deviation (MAD)0
Skewness11.753076
Sum1010
Variance53.384911
MonotonicityNot monotonic
2024-03-15T03:01:11.910439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 1149
97.5%
10 11
 
0.9%
30 6
 
0.5%
60 3
 
0.3%
20 3
 
0.3%
110 2
 
0.2%
50 2
 
0.2%
40 1
 
0.1%
120 1
 
0.1%
ValueCountFrequency (%)
0 1149
97.5%
10 11
 
0.9%
20 3
 
0.3%
30 6
 
0.5%
40 1
 
0.1%
50 2
 
0.2%
60 3
 
0.3%
110 2
 
0.2%
120 1
 
0.1%
ValueCountFrequency (%)
120 1
 
0.1%
110 2
 
0.2%
60 3
 
0.3%
50 2
 
0.2%
40 1
 
0.1%
30 6
 
0.5%
20 3
 
0.3%
10 11
 
0.9%
0 1149
97.5%

과오납지하수납부액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
0
1178 

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 1178
100.0%

Length

2024-03-15T03:01:12.253875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:12.523687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1178
100.0%

과오납지하수환부합계
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
0
1178 

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 1178
100.0%

Length

2024-03-15T03:01:12.708207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:13.043231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1178
100.0%

과오납지하수과오납액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
0
1178 

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 1178
100.0%

Length

2024-03-15T03:01:13.224191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:13.384354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1178
100.0%

과오납지하수이자액
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.3 KiB
0
1178 

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 1178
100.0%

Length

2024-03-15T03:01:13.657593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:14.056254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1178
100.0%

전송처리여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
True
1178 
ValueCountFrequency (%)
True 1178
100.0%
2024-03-15T03:01:14.253407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Sample

연번총자료건수총납부금액총환부합계총과오납액총이자액총충당액생성일자과오납년도과세년도과세월세목명과오납사유명과오납상수도납부액과오납상수도환부합계과오납상수도과오납액과오납상수도이자액과오납하수도납부액과오납하수도환부합계과오납하수도과오납액과오납하수도이자액과오납물이용분담금납부액과오납물이용분담금환부합계과오납물이용분담금과오납액과오납물이용분담금이자액과오납지하수납부액과오납지하수환부합계과오납지하수과오납액과오납지하수이자액전송처리여부
011925909259092590002023-03-03202320231상·하수도사용료이중수납5036050360503600325003250032500097309730973000000Y
121146901469014690002023-02-25202320232상·하수도사용료이중수납9150915091500416041604160013801380138000000Y
231238023802380002023-03-10202320231상·하수도사용료이중수납2380238023800000000000000Y
341750750750002023-10-282023202310상·하수도사용료이중수납3903903900300300300060606000000Y
451947009470094700002023-10-05202320239상·하수도사용료이중수납5930059300593000249602496024960010440104401044000000Y
561301603016030160002023-10-05202320239상·하수도사용료이중수납1742017420174200958095809580031603160316000000Y
671238023802380002023-10-05202320239상·하수도사용료이중수납2380238023800000000000000Y
781391403914039140002023-10-05202320238상·하수도사용료이중수납2204022040220400130601306013060040404040404000000Y
891669406694066940002023-10-05202320238상·하수도사용료이중수납3708037080370800226402264022640072207220722000000Y
910183601083601083601073002023-11-06202320239상·하수도사용료이중수납339270339270339270300455650455650455650400410904109041090300000Y
연번총자료건수총납부금액총환부합계총과오납액총이자액총충당액생성일자과오납년도과세년도과세월세목명과오납사유명과오납상수도납부액과오납상수도환부합계과오납상수도과오납액과오납상수도이자액과오납하수도납부액과오납하수도환부합계과오납하수도과오납액과오납하수도이자액과오납물이용분담금납부액과오납물이용분담금환부합계과오납물이용분담금과오납액과오납물이용분담금이자액과오납지하수납부액과오납지하수환부합계과오납지하수과오납액과오납지하수이자액전송처리여부
116811691910300910301002023-03-07202320232상·하수도사용료이중수납760400760401000001499001499000000Y
116911701641206412064120002023-03-08202320232상·하수도사용료이중수납3564035640356400227602276022760057205720572000000Y
1170117111412301412301412302002023-03-07202320232상·하수도사용료이중수납760407604076040105020050200502001014990149901499000000Y
11711172141360041360002023-03-08202320232상·하수도사용료이중수납356400356400000057200572000000Y
117211731129290129290129290002023-03-07202320232상·하수도사용료이중수납6472064720647200566805668056680078907890789000000Y
117311741171901719017190002023-10-252023202310상·하수도사용료이중수납1150011500115000426042604260014301430143000000Y
117411751177220177220177220002023-10-252023202310상·하수도사용료이중수납8907089070890700772107721077210010940109401094000000Y
117511761113180113180113180002023-07-05202320236상·하수도사용료이중수납5704057040570400492204922049220069206920692000000Y
117611771273202732027320002023-07-05202320236상·하수도사용료이중수납1592015920159200854085408540028602860286000000Y
117711781369284036928403692840002023-12-262023202312상·하수도사용료이중수납1450760145076014507600207480020748002074800016728016728016728000000Y