Overview

Dataset statistics

Number of variables28
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory257.0 B

Variable types

Numeric25
Categorical2
DateTime1

Dataset

Description부산광역시 상수도사업본부에서 상하수도 요금 계산 및 징수를 위해 운영하는 수용가정보시스템에 사용되는 민원 신청 정보(누수감면) 자료입니다.
Author부산광역시 상수도사업본부
URLhttps://www.data.go.kr/data/15100351/fileData.do

Alerts

누수감면구분 is highly imbalanced (74.9%)Imbalance
감면후사용료(상) is highly skewed (γ1 = 22.52396952)Skewed
감면후사용료(하) is highly skewed (γ1 = 25.57007296)Skewed
감면후물이용부담금 is highly skewed (γ1 = 28.1912233)Skewed
상수도누수요금 is highly skewed (γ1 = 25.24184946)Skewed
물이용누수요금 is highly skewed (γ1 = 21.87853113)Skewed
상수도차이금액 is highly skewed (γ1 = 25.24180546)Skewed
물이용차이금액 is highly skewed (γ1 = 21.87894867)Skewed
감면전실제사용료(상) is highly skewed (γ1 = 21.57731488)Skewed
감면전실제사용료(물) is highly skewed (γ1 = 25.03493927)Skewed
감면후실제사용료(상) is highly skewed (γ1 = 22.44923196)Skewed
감면후실제사용료(하) is highly skewed (γ1 = 25.36695312)Skewed
감면후실제사용료(물) is highly skewed (γ1 = 28.05347366)Skewed
누수실제사용료(상) is highly skewed (γ1 = 25.32795377)Skewed
누수실제사용료(물) is highly skewed (γ1 = 22.05212718)Skewed
연번 has unique valuesUnique
감면후사용료(하) has 818 (8.2%) zerosZeros
하수도누수요금 has 537 (5.4%) zerosZeros
하수도차이금액 has 537 (5.4%) zerosZeros
감면전실제사용료(하) has 550 (5.5%) zerosZeros
감면후실제사용료(상) has 227 (2.3%) zerosZeros
감면후실제사용료(하) has 1174 (11.7%) zerosZeros
감면후실제사용료(물) has 228 (2.3%) zerosZeros
감면실제차이금액(상) has 7366 (73.7%) zerosZeros
감면실제차이금액(하) has 7413 (74.1%) zerosZeros
감면실제차이금액(물) has 7366 (73.7%) zerosZeros
누수실제사용료(하) has 558 (5.6%) zerosZeros

Reproduction

Analysis started2024-04-21 12:59:44.251886
Analysis finished2024-04-21 12:59:44.820785
Duration0.57 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%
Mean6833.3309
Minimum1
Maximum13638
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:44.940784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile665.9
Q13437.75
median6868.5
Q310236.25
95-th percentile12942.05
Maximum13638
Range13637
Interquartile range (IQR)6798.5

Descriptive statistics

Standard deviation3934.4537
Coefficient of variation (CV)0.57577391
Kurtosis-1.193627
Mean6833.3309
Median Absolute Deviation (MAD)3399
Skewness-0.014302977
Sum68333309
Variance15479926
MonotonicityNot monotonic
2024-04-21T21:59:45.185645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11128 1
 
< 0.1%
5881 1
 
< 0.1%
4188 1
 
< 0.1%
7292 1
 
< 0.1%
8367 1
 
< 0.1%
10707 1
 
< 0.1%
13385 1
 
< 0.1%
4204 1
 
< 0.1%
844 1
 
< 0.1%
10322 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
ValueCountFrequency (%)
13638 1
< 0.1%
13637 1
< 0.1%
13636 1
< 0.1%
13635 1
< 0.1%
13634 1
< 0.1%
13633 1
< 0.1%
13632 1
< 0.1%
13631 1
< 0.1%
13629 1
< 0.1%
13628 1
< 0.1%

사업소코드
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean291.1996
Minimum244
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:45.395930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244
5-th percentile244
Q1301
median304
Q3308
95-th percentile311
Maximum312
Range68
Interquartile range (IQR)7

Descriptive statistics

Standard deviation26.862225
Coefficient of variation (CV)0.092246778
Kurtosis-0.5894326
Mean291.1996
Median Absolute Deviation (MAD)4
Skewness-1.1640751
Sum2911996
Variance721.57912
MonotonicityNot monotonic
2024-04-21T21:59:45.584189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
244 2427
24.3%
307 1266
12.7%
304 1027
10.3%
306 1014
10.1%
309 931
 
9.3%
311 639
 
6.4%
301 618
 
6.2%
308 615
 
6.2%
303 528
 
5.3%
302 488
 
4.9%
Other values (3) 447
 
4.5%
ValueCountFrequency (%)
244 2427
24.3%
301 618
 
6.2%
302 488
 
4.9%
303 528
 
5.3%
304 1027
10.3%
305 2
 
< 0.1%
306 1014
10.1%
307 1266
12.7%
308 615
 
6.2%
309 931
 
9.3%
ValueCountFrequency (%)
312 444
 
4.4%
311 639
6.4%
310 1
 
< 0.1%
309 931
9.3%
308 615
6.2%
307 1266
12.7%
306 1014
10.1%
305 2
 
< 0.1%
304 1027
10.3%
303 528
5.3%

사업소명
Categorical

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동래통합사업소
2427 
북부사업소
1266 
부산진 사업소
1027 
남부사업소
1014 
사하사업소
931 
Other values (8)
3335 

Length

Max length9
Median length8
Mean length6.1132
Min length5

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row남부사업소
2nd row기장사업소
3rd row영도사업소
4th row부산진 사업소
5th row동래통합사업소

Common Values

ValueCountFrequency (%)
동래통합사업소 2427
24.3%
북부사업소 1266
12.7%
부산진 사업소 1027
10.3%
남부사업소 1014
10.1%
사하사업소 931
 
9.3%
강서사업소 639
 
6.4%
중동부사업소 618
 
6.2%
해운대사업소 615
 
6.2%
영도사업소 528
 
5.3%
서부 사업소 488
 
4.9%
Other values (3) 447
 
4.5%

Length

2024-04-21T21:59:45.816502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동래통합사업소 2427
21.1%
사업소 1518
13.2%
북부사업소 1266
11.0%
부산진 1027
8.9%
남부사업소 1014
8.8%
사하사업소 931
 
8.1%
강서사업소 639
 
5.5%
중동부사업소 618
 
5.4%
해운대사업소 615
 
5.3%
영도사업소 528
 
4.6%
Other values (4) 935
 
8.1%

구경(mm)
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.0132
Minimum0
Maximum250
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:46.234462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile15
Q115
median15
Q315
95-th percentile25
Maximum250
Range250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation12.132689
Coefficient of variation (CV)0.67354435
Kurtosis99.530872
Mean18.0132
Median Absolute Deviation (MAD)0
Skewness8.6381725
Sum180132
Variance147.20215
MonotonicityNot monotonic
2024-04-21T21:59:46.422618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 8109
81.1%
20 921
 
9.2%
25 496
 
5.0%
40 213
 
2.1%
50 115
 
1.1%
80 43
 
0.4%
100 39
 
0.4%
32 29
 
0.3%
150 19
 
0.2%
200 10
 
0.1%
Other values (3) 6
 
0.1%
ValueCountFrequency (%)
0 2
 
< 0.1%
13 3
 
< 0.1%
15 8109
81.1%
20 921
 
9.2%
25 496
 
5.0%
32 29
 
0.3%
40 213
 
2.1%
50 115
 
1.1%
80 43
 
0.4%
100 39
 
0.4%
ValueCountFrequency (%)
250 1
 
< 0.1%
200 10
 
0.1%
150 19
 
0.2%
100 39
 
0.4%
80 43
 
0.4%
50 115
 
1.1%
40 213
 
2.1%
32 29
 
0.3%
25 496
5.0%
20 921
9.2%

감면후사용료(상)
Real number (ℝ)

SKEWED 

Distinct5301
Distinct (%)53.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean202159.03
Minimum0
Maximum50222000
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:46.651715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile11899
Q137192.5
median68500
Q3135560
95-th percentile497368
Maximum50222000
Range50222000
Interquartile range (IQR)98367.5

Descriptive statistics

Standard deviation1094709.4
Coefficient of variation (CV)5.4150901
Kurtosis689.03292
Mean202159.03
Median Absolute Deviation (MAD)39250
Skewness22.52397
Sum2.0215903 × 109
Variance1.1983886 × 1012
MonotonicityNot monotonic
2024-04-21T21:59:46.908396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
0.7%
10080 41
 
0.4%
14400 34
 
0.3%
7200 31
 
0.3%
11520 29
 
0.3%
19080 25
 
0.2%
2880 24
 
0.2%
1440 23
 
0.2%
21600 23
 
0.2%
17520 23
 
0.2%
Other values (5291) 9676
96.8%
ValueCountFrequency (%)
0 71
0.7%
600 2
 
< 0.1%
720 2
 
< 0.1%
1440 23
 
0.2%
1800 3
 
< 0.1%
2160 1
 
< 0.1%
2400 18
 
0.2%
2520 2
 
< 0.1%
2880 24
 
0.2%
3000 2
 
< 0.1%
ValueCountFrequency (%)
50222000 1
< 0.1%
28636830 1
< 0.1%
28205250 1
< 0.1%
24846330 1
< 0.1%
22959730 1
< 0.1%
22597300 1
< 0.1%
22449010 1
< 0.1%
21242100 1
< 0.1%
20692740 1
< 0.1%
20333400 1
< 0.1%

감면후사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1267
Distinct (%)12.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96477.75
Minimum0
Maximum32799680
Zeros818
Zeros (%)8.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:47.158263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110160
median23400
Q346920
95-th percentile242900
Maximum32799680
Range32799680
Interquartile range (IQR)36760

Descriptive statistics

Standard deviation599385.25
Coefficient of variation (CV)6.2126785
Kurtosis1039.0159
Mean96477.75
Median Absolute Deviation (MAD)16200
Skewness25.570073
Sum9.647775 × 108
Variance3.5926267 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:47.410723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 818
 
8.2%
8100 178
 
1.8%
9000 176
 
1.8%
6300 172
 
1.7%
7200 140
 
1.4%
3600 131
 
1.3%
4500 130
 
1.3%
5400 125
 
1.2%
18000 116
 
1.2%
17100 111
 
1.1%
Other values (1257) 7903
79.0%
ValueCountFrequency (%)
0 818
8.2%
450 2
 
< 0.1%
600 1
 
< 0.1%
900 99
 
1.0%
1070 1
 
< 0.1%
1160 2
 
< 0.1%
1350 1
 
< 0.1%
1360 5
 
0.1%
1800 87
 
0.9%
2140 55
 
0.5%
ValueCountFrequency (%)
32799680 1
 
< 0.1%
13588980 2
< 0.1%
10934120 4
< 0.1%
10486000 1
 
< 0.1%
9820400 1
 
< 0.1%
9547600 1
 
< 0.1%
9526000 1
 
< 0.1%
9481200 1
 
< 0.1%
9402800 1
 
< 0.1%
8772760 1
 
< 0.1%

감면후물이용부담금
Real number (ℝ)

SKEWED 

Distinct2424
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30983.355
Minimum0
Maximum9900690
Zeros71
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:47.675636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2260
Q16980
median12280
Q321760
95-th percentile66573.5
Maximum9900690
Range9900690
Interquartile range (IQR)14780

Descriptive statistics

Standard deviation175789.56
Coefficient of variation (CV)5.6736773
Kurtosis1184.1705
Mean30983.355
Median Absolute Deviation (MAD)6460
Skewness28.191223
Sum3.0983355 × 108
Variance3.0901969 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:47.934878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 71
 
0.7%
4840 45
 
0.4%
10920 41
 
0.4%
4240 40
 
0.4%
300 39
 
0.4%
12580 38
 
0.4%
8180 37
 
0.4%
10540 36
 
0.4%
7880 36
 
0.4%
5760 36
 
0.4%
Other values (2414) 9581
95.8%
ValueCountFrequency (%)
0 71
0.7%
60 2
 
< 0.1%
140 2
 
< 0.1%
220 1
 
< 0.1%
280 2
 
< 0.1%
300 39
0.4%
360 4
 
< 0.1%
440 4
 
< 0.1%
520 3
 
< 0.1%
580 1
 
< 0.1%
ValueCountFrequency (%)
9900690 1
< 0.1%
4324010 1
< 0.1%
4147170 1
< 0.1%
3624670 2
< 0.1%
3455270 1
< 0.1%
3433100 1
< 0.1%
3271210 1
< 0.1%
3221950 1
< 0.1%
2873570 1
< 0.1%
2838580 1
< 0.1%

정액요금
Real number (ℝ)

Distinct74
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3757.936
Minimum0
Maximum210000
Zeros6
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:48.185010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2400
Q12400
median2400
Q32400
95-th percentile6800
Maximum210000
Range210000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8224.4212
Coefficient of variation (CV)2.1885474
Kurtosis229.23261
Mean3757.936
Median Absolute Deviation (MAD)0
Skewness13.439622
Sum37579360
Variance67641105
MonotonicityNot monotonic
2024-04-21T21:59:48.426328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 7818
78.2%
4400 774
 
7.7%
6800 302
 
3.0%
1200 225
 
2.2%
3400 189
 
1.9%
9300 157
 
1.6%
2200 143
 
1.4%
14500 98
 
1.0%
18600 55
 
0.5%
31000 40
 
0.4%
Other values (64) 199
 
2.0%
ValueCountFrequency (%)
0 6
 
0.1%
440 1
 
< 0.1%
650 1
 
< 0.1%
770 1
 
< 0.1%
960 1
 
< 0.1%
1000 1
 
< 0.1%
1080 1
 
< 0.1%
1120 1
 
< 0.1%
1160 2
 
< 0.1%
1200 225
2.2%
ValueCountFrequency (%)
210000 2
 
< 0.1%
193000 1
 
< 0.1%
142000 10
 
0.1%
105000 17
 
0.2%
62000 3
 
< 0.1%
52000 39
0.4%
31000 40
0.4%
29000 16
 
0.2%
18600 55
0.5%
17670 1
 
< 0.1%

상수도누수요금
Real number (ℝ)

SKEWED 

Distinct4314
Distinct (%)43.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79882.261
Minimum0
Maximum13113130
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:48.670901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3240
Q110895
median25960
Q365060
95-th percentile292672
Maximum13113130
Range13113130
Interquartile range (IQR)54165

Descriptive statistics

Standard deviation277395.04
Coefficient of variation (CV)3.4725487
Kurtosis1001.7572
Mean79882.261
Median Absolute Deviation (MAD)18760
Skewness25.241849
Sum7.9882261 × 108
Variance7.6948007 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:48.932714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5400 60
 
0.6%
4680 47
 
0.5%
7800 45
 
0.4%
9000 42
 
0.4%
3600 42
 
0.4%
3500 41
 
0.4%
1800 40
 
0.4%
2880 40
 
0.4%
7200 39
 
0.4%
10800 38
 
0.4%
Other values (4304) 9566
95.7%
ValueCountFrequency (%)
0 16
0.2%
360 3
 
< 0.1%
380 6
 
0.1%
500 1
 
< 0.1%
600 4
 
< 0.1%
660 1
 
< 0.1%
720 24
0.2%
780 11
0.1%
1000 3
 
< 0.1%
1020 1
 
< 0.1%
ValueCountFrequency (%)
13113130 1
< 0.1%
12681550 1
< 0.1%
6925310 1
< 0.1%
5819410 1
< 0.1%
5513510 1
< 0.1%
4283460 1
< 0.1%
3932810 1
< 0.1%
3017680 1
< 0.1%
2977380 1
< 0.1%
2930780 1
< 0.1%

하수도누수요금
Real number (ℝ)

ZEROS 

Distinct4897
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130315.16
Minimum0
Maximum15775200
Zeros537
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:49.184941image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112175
median33440
Q398275
95-th percentile539201
Maximum15775200
Range15775200
Interquartile range (IQR)86100

Descriptive statistics

Standard deviation409363.43
Coefficient of variation (CV)3.1413338
Kurtosis474.20389
Mean130315.16
Median Absolute Deviation (MAD)26700
Skewness16.426739
Sum1.3031516 × 109
Variance1.6757842 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:49.445491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 537
 
5.4%
2700 37
 
0.4%
5220 36
 
0.4%
6380 36
 
0.4%
6960 33
 
0.3%
4940 32
 
0.3%
4040 32
 
0.3%
4500 32
 
0.3%
3600 32
 
0.3%
8100 32
 
0.3%
Other values (4887) 9161
91.6%
ValueCountFrequency (%)
0 537
5.4%
440 6
 
0.1%
580 7
 
0.1%
620 1
 
< 0.1%
680 1
 
< 0.1%
800 1
 
< 0.1%
900 22
 
0.2%
1060 4
 
< 0.1%
1160 9
 
0.1%
1240 3
 
< 0.1%
ValueCountFrequency (%)
15775200 1
< 0.1%
15256000 1
< 0.1%
8579940 1
< 0.1%
8331200 1
< 0.1%
7127680 1
< 0.1%
6984700 1
< 0.1%
6632800 1
< 0.1%
4814780 1
< 0.1%
4483050 1
< 0.1%
4442440 1
< 0.1%

물이용누수요금
Real number (ℝ)

SKEWED 

Distinct1763
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11061.759
Minimum0
Maximum1496670
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:49.706997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q11820
median4150
Q39480
95-th percentile39323
Maximum1496670
Range1496670
Interquartile range (IQR)7660

Descriptive statistics

Standard deviation33565.503
Coefficient of variation (CV)3.034373
Kurtosis795.82192
Mean11061.759
Median Absolute Deviation (MAD)2790
Skewness21.878531
Sum1.1061759 × 108
Variance1.126643 × 109
MonotonicityNot monotonic
2024-04-21T21:59:49.962858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1360 133
 
1.3%
1660 124
 
1.2%
600 116
 
1.2%
680 112
 
1.1%
980 107
 
1.1%
900 107
 
1.1%
1280 104
 
1.0%
1820 99
 
1.0%
1060 94
 
0.9%
1440 90
 
0.9%
Other values (1753) 8914
89.1%
ValueCountFrequency (%)
0 23
0.2%
60 8
 
0.1%
70 1
 
< 0.1%
80 6
 
0.1%
140 44
0.4%
150 1
 
< 0.1%
160 3
 
< 0.1%
200 1
 
< 0.1%
220 50
0.5%
230 2
 
< 0.1%
ValueCountFrequency (%)
1496670 1
< 0.1%
1447410 1
< 0.1%
790420 1
< 0.1%
664200 1
< 0.1%
629280 1
< 0.1%
496690 1
< 0.1%
491000 1
< 0.1%
448870 1
< 0.1%
341840 1
< 0.1%
336460 1
< 0.1%

상수도차이금액
Real number (ℝ)

SKEWED 

Distinct4285
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79885.77
Minimum0
Maximum13113140
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:50.227643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3240
Q110900
median25960
Q365062.5
95-th percentile292691
Maximum13113140
Range13113140
Interquartile range (IQR)54162.5

Descriptive statistics

Standard deviation277395.27
Coefficient of variation (CV)3.4723991
Kurtosis1001.7545
Mean79885.77
Median Absolute Deviation (MAD)18760
Skewness25.241805
Sum7.988577 × 108
Variance7.6948138 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:50.489448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5400 60
 
0.6%
4680 47
 
0.5%
7800 45
 
0.4%
3600 42
 
0.4%
9000 42
 
0.4%
1800 40
 
0.4%
2880 40
 
0.4%
7200 39
 
0.4%
10800 38
 
0.4%
12000 37
 
0.4%
Other values (4275) 9570
95.7%
ValueCountFrequency (%)
0 16
0.2%
360 3
 
< 0.1%
400 6
 
0.1%
500 1
 
< 0.1%
600 4
 
< 0.1%
670 1
 
< 0.1%
720 24
0.2%
780 11
0.1%
1000 3
 
< 0.1%
1020 1
 
< 0.1%
ValueCountFrequency (%)
13113140 1
< 0.1%
12681550 1
< 0.1%
6925310 1
< 0.1%
5819420 1
< 0.1%
5513520 1
< 0.1%
4283480 1
< 0.1%
3932810 1
< 0.1%
3017680 1
< 0.1%
2977380 1
< 0.1%
2930800 1
< 0.1%

하수도차이금액
Real number (ℝ)

ZEROS 

Distinct4897
Distinct (%)49.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130315.16
Minimum0
Maximum15775200
Zeros537
Zeros (%)5.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:50.741310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112175
median33440
Q398275
95-th percentile539201
Maximum15775200
Range15775200
Interquartile range (IQR)86100

Descriptive statistics

Standard deviation409363.43
Coefficient of variation (CV)3.1413338
Kurtosis474.20389
Mean130315.16
Median Absolute Deviation (MAD)26700
Skewness16.426739
Sum1.3031516 × 109
Variance1.6757842 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:51.211843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 537
 
5.4%
2700 37
 
0.4%
5220 36
 
0.4%
6380 36
 
0.4%
6960 33
 
0.3%
4940 32
 
0.3%
4040 32
 
0.3%
4500 32
 
0.3%
3600 32
 
0.3%
8100 32
 
0.3%
Other values (4887) 9161
91.6%
ValueCountFrequency (%)
0 537
5.4%
440 6
 
0.1%
580 7
 
0.1%
620 1
 
< 0.1%
680 1
 
< 0.1%
800 1
 
< 0.1%
900 22
 
0.2%
1060 4
 
< 0.1%
1160 9
 
0.1%
1240 3
 
< 0.1%
ValueCountFrequency (%)
15775200 1
< 0.1%
15256000 1
< 0.1%
8579940 1
< 0.1%
8331200 1
< 0.1%
7127680 1
< 0.1%
6984700 1
< 0.1%
6632800 1
< 0.1%
4814780 1
< 0.1%
4483050 1
< 0.1%
4442440 1
< 0.1%

물이용차이금액
Real number (ℝ)

SKEWED 

Distinct1733
Distinct (%)17.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11070.621
Minimum0
Maximum1496670
Zeros23
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:51.471803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q11840
median4170
Q39500
95-th percentile39324
Maximum1496670
Range1496670
Interquartile range (IQR)7660

Descriptive statistics

Standard deviation33565.045
Coefficient of variation (CV)3.0319027
Kurtosis795.8449
Mean11070.621
Median Absolute Deviation (MAD)2810
Skewness21.878949
Sum1.1070621 × 108
Variance1.1266123 × 109
MonotonicityNot monotonic
2024-04-21T21:59:51.727380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
840 137
 
1.4%
1140 129
 
1.3%
1520 120
 
1.2%
760 112
 
1.1%
1440 103
 
1.0%
1820 102
 
1.0%
1220 97
 
1.0%
920 96
 
1.0%
1600 94
 
0.9%
1680 89
 
0.9%
Other values (1723) 8921
89.2%
ValueCountFrequency (%)
0 23
0.2%
80 15
 
0.1%
140 6
 
0.1%
160 42
0.4%
200 1
 
< 0.1%
220 13
 
0.1%
230 3
 
< 0.1%
240 36
0.4%
300 53
0.5%
320 12
 
0.1%
ValueCountFrequency (%)
1496670 1
< 0.1%
1447410 1
< 0.1%
790420 1
< 0.1%
664200 1
< 0.1%
629290 1
< 0.1%
496690 1
< 0.1%
491000 1
< 0.1%
448870 1
< 0.1%
341840 1
< 0.1%
336480 1
< 0.1%

감면전실제사용료(상)
Real number (ℝ)

SKEWED 

Distinct3253
Distinct (%)32.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean276029.08
Minimum0
Maximum51537600
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:51.991032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17520
Q149080
median93000
Q3199600
95-th percentile798443.5
Maximum51537600
Range51537600
Interquartile range (IQR)150520

Descriptive statistics

Standard deviation1286275.7
Coefficient of variation (CV)4.6599284
Kurtosis612.38339
Mean276029.08
Median Absolute Deviation (MAD)56340
Skewness21.577315
Sum2.7602908 × 109
Variance1.6545053 × 1012
MonotonicityNot monotonic
2024-04-21T21:59:52.247302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000 48
 
0.5%
36000 40
 
0.4%
14400 39
 
0.4%
63000 37
 
0.4%
22200 37
 
0.4%
54000 33
 
0.3%
23760 30
 
0.3%
10800 30
 
0.3%
30000 30
 
0.3%
72000 30
 
0.3%
Other values (3243) 9646
96.5%
ValueCountFrequency (%)
0 28
0.3%
720 2
 
< 0.1%
780 1
 
< 0.1%
1200 4
 
< 0.1%
1440 3
 
< 0.1%
1560 2
 
< 0.1%
2160 2
 
< 0.1%
2340 5
 
0.1%
2400 3
 
< 0.1%
2880 4
 
< 0.1%
ValueCountFrequency (%)
51537600 1
< 0.1%
41749970 1
< 0.1%
40886800 1
< 0.1%
30665750 1
< 0.1%
29374320 1
< 0.1%
28110820 1
< 0.1%
26892540 1
< 0.1%
22358570 1
< 0.1%
21973920 1
< 0.1%
20156520 1
< 0.1%

감면전실제사용료(하)
Real number (ℝ)

ZEROS 

Distinct4218
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean223354.49
Minimum0
Maximum34949100
Zeros550
Zeros (%)5.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:52.494313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q129272.5
median61880
Q3156280
95-th percentile813769
Maximum34949100
Range34949100
Interquartile range (IQR)127007.5

Descriptive statistics

Standard deviation847024.55
Coefficient of variation (CV)3.792288
Kurtosis519.7657
Mean223354.49
Median Absolute Deviation (MAD)42620
Skewness18.34555
Sum2.2335449 × 109
Variance7.1745059 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:52.748091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 550
 
5.5%
14800 35
 
0.4%
9000 34
 
0.3%
10160 27
 
0.3%
22460 27
 
0.3%
20020 27
 
0.3%
17120 27
 
0.3%
12480 26
 
0.3%
44300 26
 
0.3%
29020 26
 
0.3%
Other values (4208) 9195
92.0%
ValueCountFrequency (%)
0 550
5.5%
440 2
 
< 0.1%
580 1
 
< 0.1%
680 1
 
< 0.1%
900 3
 
< 0.1%
1060 2
 
< 0.1%
1160 2
 
< 0.1%
1340 2
 
< 0.1%
1740 5
 
0.1%
1800 2
 
< 0.1%
ValueCountFrequency (%)
34949100 1
< 0.1%
25301200 1
< 0.1%
25076400 1
< 0.1%
17878800 1
< 0.1%
17118800 1
< 0.1%
14993920 1
< 0.1%
13642520 1
< 0.1%
13033260 1
< 0.1%
13024260 1
< 0.1%
11738700 1
< 0.1%

감면전실제사용료(물)
Real number (ℝ)

SKEWED 

Distinct2635
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40783.343
Minimum0
Maximum10051610
Zeros28
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:53.019558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3330
Q18947.5
median16080
Q330660
95-th percentile106560
Maximum10051610
Range10051610
Interquartile range (IQR)21712.5

Descriptive statistics

Standard deviation194110.65
Coefficient of variation (CV)4.7595571
Kurtosis918.86295
Mean40783.343
Median Absolute Deviation (MAD)8780
Skewness25.034939
Sum4.0783343 × 108
Variance3.7678944 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:53.279005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12900 48
 
0.5%
7740 45
 
0.4%
11080 45
 
0.4%
6220 41
 
0.4%
11840 41
 
0.4%
6980 41
 
0.4%
13660 40
 
0.4%
10320 40
 
0.4%
8800 40
 
0.4%
10620 39
 
0.4%
Other values (2625) 9580
95.8%
ValueCountFrequency (%)
0 28
0.3%
20 1
 
< 0.1%
140 6
 
0.1%
160 1
 
< 0.1%
300 7
 
0.1%
320 1
 
< 0.1%
440 3
 
< 0.1%
460 4
 
< 0.1%
480 1
 
< 0.1%
500 1
 
< 0.1%
ValueCountFrequency (%)
10051610 1
< 0.1%
4767880 1
< 0.1%
4669360 1
< 0.1%
4460890 1
< 0.1%
4107200 1
< 0.1%
3841340 1
< 0.1%
3838320 1
< 0.1%
3502780 1
< 0.1%
3502530 1
< 0.1%
3459710 1
< 0.1%

감면후실제사용료(상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct5318
Distinct (%)53.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196497.47
Minimum0
Maximum49379600
Zeros227
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:53.531849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6840
Q132460
median63000
Q3130020
95-th percentile492362
Maximum49379600
Range49379600
Interquartile range (IQR)97560

Descriptive statistics

Standard deviation1084574.5
Coefficient of variation (CV)5.519534
Kurtosis681.13948
Mean196497.47
Median Absolute Deviation (MAD)38430
Skewness22.449232
Sum1.9649747 × 109
Variance1.1763018 × 1012
MonotonicityNot monotonic
2024-04-21T21:59:53.791345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 227
 
2.3%
21600 26
 
0.3%
11520 24
 
0.2%
4320 23
 
0.2%
22200 22
 
0.2%
7200 22
 
0.2%
8640 22
 
0.2%
10080 22
 
0.2%
20160 21
 
0.2%
36000 21
 
0.2%
Other values (5308) 9570
95.7%
ValueCountFrequency (%)
0 227
2.3%
380 1
 
< 0.1%
600 2
 
< 0.1%
720 4
 
< 0.1%
780 1
 
< 0.1%
1080 1
 
< 0.1%
1160 2
 
< 0.1%
1440 13
 
0.1%
1560 10
 
0.1%
1800 3
 
< 0.1%
ValueCountFrequency (%)
49379600 1
< 0.1%
28636830 1
< 0.1%
28205250 1
< 0.1%
24846330 1
< 0.1%
22959730 1
< 0.1%
22597300 1
< 0.1%
22449010 1
< 0.1%
20874900 1
< 0.1%
20692740 1
< 0.1%
19966200 1
< 0.1%

감면후실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1382
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean93204.946
Minimum0
Maximum32273180
Zeros1174
Zeros (%)11.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:54.039809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17200
median19800
Q343560
95-th percentile241460
Maximum32273180
Range32273180
Interquartile range (IQR)36360

Descriptive statistics

Standard deviation592152.35
Coefficient of variation (CV)6.3532288
Kurtosis1024.0827
Mean93204.946
Median Absolute Deviation (MAD)15300
Skewness25.366953
Sum9.3204946 × 108
Variance3.5064441 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:54.291737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1174
 
11.7%
8100 195
 
1.9%
9000 187
 
1.9%
6300 172
 
1.7%
7200 160
 
1.6%
4500 147
 
1.5%
5400 138
 
1.4%
3600 125
 
1.2%
11320 119
 
1.2%
900 117
 
1.2%
Other values (1372) 7466
74.7%
ValueCountFrequency (%)
0 1174
11.7%
450 3
 
< 0.1%
600 1
 
< 0.1%
900 117
 
1.2%
1070 1
 
< 0.1%
1160 27
 
0.3%
1350 1
 
< 0.1%
1360 5
 
0.1%
1440 1
 
< 0.1%
1800 85
 
0.9%
ValueCountFrequency (%)
32273180 1
< 0.1%
13359480 2
< 0.1%
10659620 1
< 0.1%
10655120 1
< 0.1%
10650620 1
< 0.1%
10646120 1
< 0.1%
10486000 1
< 0.1%
9820400 1
< 0.1%
9547600 1
< 0.1%
9526000 1
< 0.1%

감면후실제사용료(물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct2789
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29794.168
Minimum0
Maximum9724020
Zeros228
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:54.555806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1300
Q16060
median11160
Q320530
95-th percentile65720
Maximum9724020
Range9724020
Interquartile range (IQR)14470

Descriptive statistics

Standard deviation173098.88
Coefficient of variation (CV)5.8098242
Kurtosis1173.4213
Mean29794.168
Median Absolute Deviation (MAD)6240
Skewness28.053474
Sum2.9794168 × 108
Variance2.9963221 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:54.814362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 228
 
2.3%
300 36
 
0.4%
4840 35
 
0.4%
5760 32
 
0.3%
10920 32
 
0.3%
10540 32
 
0.3%
3640 32
 
0.3%
9100 31
 
0.3%
7880 30
 
0.3%
7420 30
 
0.3%
Other values (2779) 9482
94.8%
ValueCountFrequency (%)
0 228
2.3%
60 2
 
< 0.1%
80 1
 
< 0.1%
140 3
 
< 0.1%
150 1
 
< 0.1%
160 1
 
< 0.1%
220 3
 
< 0.1%
240 1
 
< 0.1%
280 2
 
< 0.1%
300 36
 
0.4%
ValueCountFrequency (%)
9724020 1
< 0.1%
4247000 1
< 0.1%
4070160 1
< 0.1%
3530300 1
< 0.1%
3527280 1
< 0.1%
3360140 1
< 0.1%
3340240 1
< 0.1%
3271210 1
< 0.1%
3221950 1
< 0.1%
2838580 1
< 0.1%

감면실제차이금액(상)
Real number (ℝ)

ZEROS 

Distinct1656
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17713.33
Minimum0
Maximum3017680
Zeros7366
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:55.128768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33600
95-th percentile78239
Maximum3017680
Range3017680
Interquartile range (IQR)3600

Descriptive statistics

Standard deviation84398.271
Coefficient of variation (CV)4.7646756
Kurtosis315.66448
Mean17713.33
Median Absolute Deviation (MAD)0
Skewness14.23085
Sum1.771333 × 108
Variance7.1230682 × 109
MonotonicityNot monotonic
2024-04-21T21:59:55.566887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7366
73.7%
4680 23
 
0.2%
5400 20
 
0.2%
4320 18
 
0.2%
9360 18
 
0.2%
8580 13
 
0.1%
3120 12
 
0.1%
3900 12
 
0.1%
6480 11
 
0.1%
3520 11
 
0.1%
Other values (1646) 2496
 
25.0%
ValueCountFrequency (%)
0 7366
73.7%
400 4
 
< 0.1%
720 5
 
0.1%
780 4
 
< 0.1%
1000 1
 
< 0.1%
1080 3
 
< 0.1%
1180 8
 
0.1%
1200 1
 
< 0.1%
1440 2
 
< 0.1%
1500 1
 
< 0.1%
ValueCountFrequency (%)
3017680 1
< 0.1%
2158000 1
< 0.1%
1896760 1
< 0.1%
1662540 1
< 0.1%
1598520 2
< 0.1%
1512600 1
< 0.1%
1355960 1
< 0.1%
1210580 1
< 0.1%
1199340 1
< 0.1%
1165200 1
< 0.1%

감면실제차이금액(하)
Real number (ℝ)

ZEROS 

Distinct1740
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24974.587
Minimum0
Maximum3964800
Zeros7413
Zeros (%)74.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:55.991887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33480
95-th percentile111360
Maximum3964800
Range3964800
Interquartile range (IQR)3480

Descriptive statistics

Standard deviation119244.16
Coefficient of variation (CV)4.7746199
Kurtosis241.81299
Mean24974.587
Median Absolute Deviation (MAD)0
Skewness12.569604
Sum2.4974587 × 108
Variance1.421917 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:56.449892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7413
74.1%
6740 17
 
0.2%
8700 16
 
0.2%
6380 15
 
0.1%
6960 15
 
0.1%
5400 15
 
0.1%
5220 13
 
0.1%
11600 13
 
0.1%
11020 13
 
0.1%
7200 12
 
0.1%
Other values (1730) 2458
 
24.6%
ValueCountFrequency (%)
0 7413
74.1%
580 5
 
0.1%
900 5
 
0.1%
1160 4
 
< 0.1%
1240 1
 
< 0.1%
1340 3
 
< 0.1%
1740 11
 
0.1%
1800 3
 
< 0.1%
2140 1
 
< 0.1%
2240 7
 
0.1%
ValueCountFrequency (%)
3964800 1
< 0.1%
2675920 1
< 0.1%
2378140 2
< 0.1%
2075720 1
< 0.1%
1912950 1
< 0.1%
1723120 1
< 0.1%
1714480 1
< 0.1%
1711850 1
< 0.1%
1668640 1
< 0.1%
1642670 1
< 0.1%

감면실제차이금액(물)
Real number (ℝ)

ZEROS 

Distinct866
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2788.938
Minimum0
Maximum496690
Zeros7366
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:56.876214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q3680
95-th percentile12383.5
Maximum496690
Range496690
Interquartile range (IQR)680

Descriptive statistics

Standard deviation13090.376
Coefficient of variation (CV)4.6936776
Kurtosis378.50151
Mean2788.938
Median Absolute Deviation (MAD)0
Skewness15.49351
Sum27889380
Variance1.7135794 × 108
MonotonicityNot monotonic
2024-04-21T21:59:57.524335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7366
73.7%
1140 42
 
0.4%
920 32
 
0.3%
1820 31
 
0.3%
1220 29
 
0.3%
1440 28
 
0.3%
760 26
 
0.3%
1520 25
 
0.2%
840 24
 
0.2%
1680 23
 
0.2%
Other values (856) 2374
 
23.7%
ValueCountFrequency (%)
0 7366
73.7%
20 1
 
< 0.1%
80 4
 
< 0.1%
160 11
 
0.1%
220 3
 
< 0.1%
240 9
 
0.1%
260 1
 
< 0.1%
300 6
 
0.1%
320 3
 
< 0.1%
380 17
 
0.2%
ValueCountFrequency (%)
496690 1
< 0.1%
327590 1
< 0.1%
311040 2
< 0.1%
287780 1
< 0.1%
229520 1
< 0.1%
224360 1
< 0.1%
213890 1
< 0.1%
206920 1
< 0.1%
183520 1
< 0.1%
179730 1
< 0.1%

누수실제사용료(상)
Real number (ℝ)

SKEWED 

Distinct4302
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79528.124
Minimum0
Maximum13113130
Zeros37
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:57.937481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3120
Q110800
median25830
Q364860
95-th percentile292621
Maximum13113130
Range13113130
Interquartile range (IQR)54060

Descriptive statistics

Standard deviation277058.76
Coefficient of variation (CV)3.4837834
Kurtosis1006.7346
Mean79528.124
Median Absolute Deviation (MAD)18730
Skewness25.327954
Sum7.9528124 × 108
Variance7.6761556 × 1010
MonotonicityNot monotonic
2024-04-21T21:59:58.390076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5400 62
 
0.6%
4680 50
 
0.5%
7800 47
 
0.5%
3500 42
 
0.4%
3600 42
 
0.4%
4320 42
 
0.4%
1800 40
 
0.4%
2880 40
 
0.4%
9000 39
 
0.4%
7200 38
 
0.4%
Other values (4292) 9558
95.6%
ValueCountFrequency (%)
0 37
0.4%
360 3
 
< 0.1%
380 7
 
0.1%
500 1
 
< 0.1%
600 4
 
< 0.1%
660 1
 
< 0.1%
720 23
0.2%
780 12
 
0.1%
1000 3
 
< 0.1%
1020 1
 
< 0.1%
ValueCountFrequency (%)
13113130 1
< 0.1%
12681550 1
< 0.1%
6925310 1
< 0.1%
5819410 1
< 0.1%
5513510 1
< 0.1%
4283460 1
< 0.1%
3932810 1
< 0.1%
3017680 1
< 0.1%
2977380 1
< 0.1%
2930780 1
< 0.1%

누수실제사용료(하)
Real number (ℝ)

ZEROS 

Distinct4863
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean130149.54
Minimum0
Maximum15775200
Zeros558
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:58.804407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q111920
median33300
Q398170
95-th percentile539048
Maximum15775200
Range15775200
Interquartile range (IQR)86250

Descriptive statistics

Standard deviation409366.6
Coefficient of variation (CV)3.1453556
Kurtosis474.21356
Mean130149.54
Median Absolute Deviation (MAD)26770
Skewness16.427077
Sum1.3014954 × 109
Variance1.6758101 × 1011
MonotonicityNot monotonic
2024-04-21T21:59:59.256423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 558
 
5.6%
6380 41
 
0.4%
5220 38
 
0.4%
6960 38
 
0.4%
2700 38
 
0.4%
8700 35
 
0.4%
5400 35
 
0.4%
6740 33
 
0.3%
4040 33
 
0.3%
3600 33
 
0.3%
Other values (4853) 9118
91.2%
ValueCountFrequency (%)
0 558
5.6%
440 5
 
0.1%
580 8
 
0.1%
620 1
 
< 0.1%
680 1
 
< 0.1%
800 1
 
< 0.1%
900 22
 
0.2%
1060 4
 
< 0.1%
1160 11
 
0.1%
1240 3
 
< 0.1%
ValueCountFrequency (%)
15775200 1
< 0.1%
15256000 1
< 0.1%
8579940 1
< 0.1%
8331200 1
< 0.1%
7127680 1
< 0.1%
6984700 1
< 0.1%
6632800 1
< 0.1%
4814780 1
< 0.1%
4483050 1
< 0.1%
4442440 1
< 0.1%

누수실제사용료(물)
Real number (ℝ)

SKEWED 

Distinct1787
Distinct (%)17.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10980.349
Minimum0
Maximum1496670
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-21T21:59:59.681460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q11820
median4100
Q39420
95-th percentile39000.5
Maximum1496670
Range1496670
Interquartile range (IQR)7600

Descriptive statistics

Standard deviation33466.345
Coefficient of variation (CV)3.0478398
Kurtosis805.39861
Mean10980.349
Median Absolute Deviation (MAD)2820
Skewness22.052127
Sum1.0980349 × 108
Variance1.1199962 × 109
MonotonicityNot monotonic
2024-04-21T22:00:00.130113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1360 133
 
1.3%
1660 123
 
1.2%
600 116
 
1.2%
680 112
 
1.1%
900 111
 
1.1%
1280 104
 
1.0%
980 101
 
1.0%
1820 99
 
1.0%
1440 91
 
0.9%
1060 91
 
0.9%
Other values (1777) 8919
89.2%
ValueCountFrequency (%)
0 45
0.4%
60 8
 
0.1%
70 1
 
< 0.1%
80 7
 
0.1%
140 44
0.4%
150 1
 
< 0.1%
160 3
 
< 0.1%
200 1
 
< 0.1%
220 52
0.5%
230 2
 
< 0.1%
ValueCountFrequency (%)
1496670 1
< 0.1%
1447410 1
< 0.1%
790420 1
< 0.1%
664200 1
< 0.1%
629280 1
< 0.1%
496690 1
< 0.1%
491000 1
< 0.1%
448870 1
< 0.1%
341840 1
< 0.1%
336460 1
< 0.1%

처리일자
Date

Distinct273
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2023-01-02 00:00:00
Maximum2024-01-04 00:00:00
2024-04-21T22:00:00.527411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T22:00:00.944424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

누수감면구분
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
옥내누수
9133 
통내누수
 
630
생계·의료급여
 
234
하자보수
 
3

Length

Max length7
Median length4
Mean length4.0702
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옥내누수 9133
91.3%
통내누수 630
 
6.3%
생계·의료급여 234
 
2.3%
하자보수 3
 
< 0.1%

Length

2024-04-21T22:00:01.325922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T22:00:01.651323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥내누수 9133
91.3%
통내누수 630
 
6.3%
생계·의료급여 234
 
2.3%
하자보수 3
 
< 0.1%

Sample

연번사업소코드사업소명구경(mm)감면후사용료(상)감면후사용료(하)감면후물이용부담금정액요금상수도누수요금하수도누수요금물이용누수요금상수도차이금액하수도차이금액물이용차이금액감면전실제사용료(상)감면전실제사용료(하)감면전실제사용료(물)감면후실제사용료(상)감면후실제사용료(하)감면후실제사용료(물)감면실제차이금액(상)감면실제차이금액(하)감면실제차이금액(물)누수실제사용료(상)누수실제사용료(하)누수실제사용료(물)처리일자누수감면구분
1112711128306남부사업소15428401916087802400124801856024201248018560244055320377201122042840191608780000124801856024202023-11-14옥내누수
78867887312기장사업소1512400002032024005200007880520000790017600002822012400002032000052000078802023-06-20옥내누수
435436303영도사업소15256207200526024001410018920286014100189202880397202612081402562072005260000141001892028602023-03-14옥내누수
55415542304부산진 사업소1519500540040702400108601376022601086013760227015960101603330798001660798010160167079801016016602023-06-14옥내누수
59075908244동래통합사업소155326072009160240041740649406740417406494067609500072140159205326072009160000417406494067402023-05-15옥내누수
73437344301중동부사업소15763802816015160240031620448005760316204480057807920054960149004758010160912031620448005780316204480057602023-09-15옥내누수
29812982309사하사업소1522980810043202400100201632016001002016320160018600154202900930001440930015420146093001542014402023-08-17옥내누수
1262312624244동래통합사업소1530158022038038920240081260230580978081280230580980036846044196045700287180211380359008128023058098008126023058097802023-10-20옥내누수
1334813349244동래통합사업소1532760162006900240068408540144068408540144010800674023005400011405400674011605400674011402023-12-16옥내누수
76307631244동래통합사업소254551074006590340034410646304320344106463043307992072030109204551074006590000344106463043202023-08-23옥내누수
연번사업소코드사업소명구경(mm)감면후사용료(상)감면후사용료(하)감면후물이용부담금정액요금상수도누수요금하수도누수요금물이용누수요금상수도차이금액하수도차이금액물이용차이금액감면전실제사용료(상)감면전실제사용료(하)감면전실제사용료(물)감면후실제사용료(상)감면후실제사용료(하)감면후실제사용료(물)감면실제차이금액(상)감면실제차이금액(하)감면실제차이금액(물)누수실제사용료(상)누수실제사용료(하)누수실제사용료(물)처리일자누수감면구분
21402141301중동부사업소15279001827057402400300100251330461503001002513304615031360026060048880135009270273030010025133046150300100251330461502023-03-15생계·의료급여
79137914301중동부사업소20160500556401986044009810022906011980981002290601200025860028470031860160500556401986000098100229060119802023-07-27옥내누수
1328113282301중동부사업소1526034025081031720120057960172040698057960172040698031830042285038700260340250810317200005796017204069802023-12-17옥내누수
51645165311강서사업소15974027002040240054206880114054406880114015180958031809740270020400005420688011402023-05-03옥내누수
80278028306남부사업소15280805400576024001944026520394019440265203940475203192097002808054005760000194402652039402023-08-15옥내누수
12831284306남부사업소151026090021102400882011580181088201158018201908012480393010260900211000088201158018102023-02-16옥내누수
1345813459244동래통합사업소153834018000802024009540124801960954012480198019080124803960954001980954012480198095401248019602023-12-14옥내누수
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