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

Description부산광역시상수도사업본부_수용가정보시스템_민원신청정보_누수감면_20220131
Author부산광역시 상수도사업본부
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15100351

Alerts

누수감면구분 is highly imbalanced (78.9%)Imbalance
감면후사용료(상) is highly skewed (γ1 = 25.29221214)Skewed
감면후사용료(하) is highly skewed (γ1 = 31.59994654)Skewed
감면후물이용부담금 is highly skewed (γ1 = 35.23455202)Skewed
하수도누수요금 is highly skewed (γ1 = 33.49718775)Skewed
하수도차이금액 is highly skewed (γ1 = 33.49718775)Skewed
감면전실제사용료(상) is highly skewed (γ1 = 20.99227609)Skewed
감면전실제사용료(하) is highly skewed (γ1 = 22.72167175)Skewed
감면전실제사용료(물) is highly skewed (γ1 = 30.98174208)Skewed
감면후실제사용료(상) is highly skewed (γ1 = 25.093147)Skewed
감면후실제사용료(하) is highly skewed (γ1 = 31.74833127)Skewed
감면후실제사용료(물) is highly skewed (γ1 = 35.42920053)Skewed
감면실제차이금액(상) is highly skewed (γ1 = 31.25432274)Skewed
감면실제차이금액(하) is highly skewed (γ1 = 51.01653154)Skewed
감면실제차이금액(물) is highly skewed (γ1 = 25.64627379)Skewed
누수실제사용료(하) is highly skewed (γ1 = 33.49615048)Skewed
연번 has unique valuesUnique
감면후사용료(하) has 725 (7.2%) zerosZeros
하수도누수요금 has 425 (4.2%) zerosZeros
하수도차이금액 has 425 (4.2%) zerosZeros
감면전실제사용료(하) has 431 (4.3%) zerosZeros
감면후실제사용료(상) has 129 (1.3%) zerosZeros
감면후실제사용료(하) has 972 (9.7%) zerosZeros
감면후실제사용료(물) has 129 (1.3%) zerosZeros
감면실제차이금액(상) has 7803 (78.0%) zerosZeros
감면실제차이금액(하) has 7843 (78.4%) zerosZeros
감면실제차이금액(물) has 7803 (78.0%) zerosZeros
누수실제사용료(하) has 438 (4.4%) zerosZeros

Reproduction

Analysis started2023-12-10 16:13:17.734580
Analysis finished2023-12-10 16:13:18.191415
Duration0.46 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%
Mean8539.0691
Minimum1
Maximum17089
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:18.256325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile864.85
Q14278.75
median8543
Q312813.25
95-th percentile16212.05
Maximum17089
Range17088
Interquartile range (IQR)8534.5

Descriptive statistics

Standard deviation4928.7944
Coefficient of variation (CV)0.57720513
Kurtosis-1.1993374
Mean8539.0691
Median Absolute Deviation (MAD)4268.5
Skewness-0.00046399804
Sum85390691
Variance24293015
MonotonicityNot monotonic
2023-12-11T01:13:18.375870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2221 1
 
< 0.1%
14790 1
 
< 0.1%
5778 1
 
< 0.1%
4826 1
 
< 0.1%
9974 1
 
< 0.1%
5718 1
 
< 0.1%
11724 1
 
< 0.1%
8866 1
 
< 0.1%
5700 1
 
< 0.1%
4701 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
11 1
< 0.1%
13 1
< 0.1%
15 1
< 0.1%
ValueCountFrequency (%)
17089 1
< 0.1%
17087 1
< 0.1%
17086 1
< 0.1%
17084 1
< 0.1%
17083 1
< 0.1%
17082 1
< 0.1%
17080 1
< 0.1%
17079 1
< 0.1%
17078 1
< 0.1%
17077 1
< 0.1%

사업소코드
Real number (ℝ)

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean289.2162
Minimum244
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:18.477317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244
5-th percentile244
Q1244
median304
Q3307
95-th percentile311
Maximum312
Range68
Interquartile range (IQR)63

Descriptive statistics

Standard deviation27.811703
Coefficient of variation (CV)0.096162327
Kurtosis-0.97362774
Mean289.2162
Median Absolute Deviation (MAD)4
Skewness-0.9901597
Sum2892162
Variance773.49081
MonotonicityNot monotonic
2023-12-11T01:13:18.570315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
244 2726
27.3%
307 1056
 
10.6%
306 1054
 
10.5%
309 1025
 
10.2%
304 917
 
9.2%
301 697
 
7.0%
303 612
 
6.1%
308 594
 
5.9%
311 507
 
5.1%
302 439
 
4.4%
Other values (2) 373
 
3.7%
ValueCountFrequency (%)
244 2726
27.3%
301 697
 
7.0%
302 439
 
4.4%
303 612
 
6.1%
304 917
 
9.2%
305 1
 
< 0.1%
306 1054
 
10.5%
307 1056
 
10.6%
308 594
 
5.9%
309 1025
 
10.2%
ValueCountFrequency (%)
312 372
 
3.7%
311 507
5.1%
309 1025
10.2%
308 594
5.9%
307 1056
10.6%
306 1054
10.5%
305 1
 
< 0.1%
304 917
9.2%
303 612
6.1%
302 439
4.4%

사업소명
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동래통합사업소
2726 
북부 사업소
1056 
남부 사업소
1054 
사하 사업소
1025 
부산진 사업소
917 
Other values (7)
3222 

Length

Max length9
Median length9
Mean length8.234
Min length7

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row영도 사업소
2nd row북부 사업소
3rd row서부 사업소
4th row사하 사업소
5th row사하 사업소

Common Values

ValueCountFrequency (%)
동래통합사업소 2726
27.3%
북부 사업소 1056
 
10.6%
남부 사업소 1054
 
10.5%
사하 사업소 1025
 
10.2%
부산진 사업소 917
 
9.2%
중동부 사업소 697
 
7.0%
영도 사업소 612
 
6.1%
해운대 사업소 594
 
5.9%
강서 사업소 507
 
5.1%
서부 사업소 439
 
4.4%
Other values (2) 373
 
3.7%

Length

2023-12-11T01:13:18.688098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사업소 7274
42.1%
동래통합사업소 2726
 
15.8%
북부 1056
 
6.1%
남부 1054
 
6.1%
사하 1025
 
5.9%
부산진 917
 
5.3%
중동부 697
 
4.0%
영도 612
 
3.5%
해운대 594
 
3.4%
강서 507
 
2.9%
Other values (3) 812
 
4.7%

구경
Real number (ℝ)

Distinct13
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.2154
Minimum13
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:18.784812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile15
Q115
median15
Q315
95-th percentile25
Maximum300
Range287
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13.809702
Coefficient of variation (CV)0.75813335
Kurtosis138.51551
Mean18.2154
Median Absolute Deviation (MAD)0
Skewness10.357117
Sum182154
Variance190.70787
MonotonicityNot monotonic
2023-12-11T01:13:18.880470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
15 8005
80.0%
20 933
 
9.3%
25 586
 
5.9%
40 206
 
2.1%
50 120
 
1.2%
32 48
 
0.5%
80 36
 
0.4%
100 28
 
0.3%
200 18
 
0.2%
150 11
 
0.1%
Other values (3) 9
 
0.1%
ValueCountFrequency (%)
13 1
 
< 0.1%
15 8005
80.0%
20 933
 
9.3%
25 586
 
5.9%
32 48
 
0.5%
40 206
 
2.1%
50 120
 
1.2%
80 36
 
0.4%
100 28
 
0.3%
150 11
 
0.1%
ValueCountFrequency (%)
300 1
 
< 0.1%
250 7
 
0.1%
200 18
 
0.2%
150 11
 
0.1%
100 28
 
0.3%
80 36
 
0.4%
50 120
 
1.2%
40 206
 
2.1%
32 48
 
0.5%
25 586
5.9%

감면후사용료(상)
Real number (ℝ)

SKEWED 

Distinct5485
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean189532.53
Minimum0
Maximum44617500
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:18.995686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile14177
Q140970
median73710
Q3142395
95-th percentile526380
Maximum44617500
Range44617500
Interquartile range (IQR)101425

Descriptive statistics

Standard deviation842388.31
Coefficient of variation (CV)4.4445579
Kurtosis992.60521
Mean189532.53
Median Absolute Deviation (MAD)40950
Skewness25.292212
Sum1.8953253 × 109
Variance7.0961806 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:19.112463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
0.4%
7200 35
 
0.4%
10080 31
 
0.3%
8640 29
 
0.3%
14400 27
 
0.3%
19080 23
 
0.2%
21600 23
 
0.2%
22200 22
 
0.2%
11520 21
 
0.2%
36000 19
 
0.2%
Other values (5475) 9725
97.2%
ValueCountFrequency (%)
0 45
0.4%
600 1
 
< 0.1%
720 1
 
< 0.1%
1080 1
 
< 0.1%
1200 1
 
< 0.1%
1440 10
 
0.1%
1800 2
 
< 0.1%
2160 3
 
< 0.1%
2400 3
 
< 0.1%
2520 1
 
< 0.1%
ValueCountFrequency (%)
44617500 1
< 0.1%
28163960 1
< 0.1%
16533270 1
< 0.1%
15365330 1
< 0.1%
14494940 1
< 0.1%
14341330 1
< 0.1%
13446240 1
< 0.1%
13428090 1
< 0.1%
13424290 1
< 0.1%
13133500 1
< 0.1%

감면후사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1344
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96731.213
Minimum0
Maximum39292440
Zeros725
Zeros (%)7.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:19.237455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q110800
median24960
Q349500
95-th percentile218811
Maximum39292440
Range39292440
Interquartile range (IQR)38700

Descriptive statistics

Standard deviation820931.99
Coefficient of variation (CV)8.4867332
Kurtosis1207.9214
Mean96731.213
Median Absolute Deviation (MAD)16860
Skewness31.599947
Sum9.6731213 × 108
Variance6.7392934 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:19.376346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 725
 
7.2%
8100 172
 
1.7%
9000 167
 
1.7%
7200 163
 
1.6%
6300 145
 
1.5%
5400 140
 
1.4%
4500 126
 
1.3%
18000 113
 
1.1%
2700 113
 
1.1%
15300 112
 
1.1%
Other values (1334) 8024
80.2%
ValueCountFrequency (%)
0 725
7.2%
450 3
 
< 0.1%
580 1
 
< 0.1%
900 83
 
0.8%
1070 1
 
< 0.1%
1160 2
 
< 0.1%
1350 1
 
< 0.1%
1360 2
 
< 0.1%
1800 76
 
0.8%
2140 40
 
0.4%
ValueCountFrequency (%)
39292440 1
 
< 0.1%
31829440 1
 
< 0.1%
30140920 1
 
< 0.1%
30062120 1
 
< 0.1%
24082880 1
 
< 0.1%
18083240 1
 
< 0.1%
8870550 2
< 0.1%
8723020 1
 
< 0.1%
8225780 4
< 0.1%
7997480 1
 
< 0.1%

감면후물이용부담금
Real number (ℝ)

SKEWED 

Distinct2474
Distinct (%)24.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29854.087
Minimum0
Maximum9392160
Zeros45
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:19.503270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2520
Q17460
median12880
Q322340
95-th percentile70307
Maximum9392160
Range9392160
Interquartile range (IQR)14880

Descriptive statistics

Standard deviation170119.24
Coefficient of variation (CV)5.6983569
Kurtosis1689.1391
Mean29854.087
Median Absolute Deviation (MAD)6530
Skewness35.234552
Sum2.9854087 × 108
Variance2.8940556 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:19.616724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 45
 
0.4%
2080 42
 
0.4%
7740 38
 
0.4%
4760 37
 
0.4%
1780 37
 
0.4%
4460 35
 
0.4%
4680 35
 
0.4%
10120 35
 
0.4%
10200 34
 
0.3%
1480 34
 
0.3%
Other values (2464) 9628
96.3%
ValueCountFrequency (%)
0 45
0.4%
60 1
 
< 0.1%
140 2
 
< 0.1%
220 3
 
< 0.1%
280 13
 
0.1%
360 2
 
< 0.1%
420 2
 
< 0.1%
440 6
 
0.1%
500 1
 
< 0.1%
520 1
 
< 0.1%
ValueCountFrequency (%)
9392160 1
< 0.1%
8800990 1
< 0.1%
3171180 1
< 0.1%
3003840 1
< 0.1%
2689090 1
< 0.1%
2549660 1
< 0.1%
2544160 1
< 0.1%
2535210 1
< 0.1%
2508970 1
< 0.1%
2489740 1
< 0.1%

정액요금
Real number (ℝ)

Distinct89
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3887.222
Minimum0
Maximum248000
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:19.742405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2200
Q12400
median2400
Q32400
95-th percentile6800
Maximum248000
Range248000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation9917.8626
Coefficient of variation (CV)2.5514011
Kurtosis227.30744
Mean3887.222
Median Absolute Deviation (MAD)0
Skewness13.860699
Sum38872220
Variance98363998
MonotonicityNot monotonic
2023-12-11T01:13:19.887918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 7626
76.3%
4400 750
 
7.5%
6800 354
 
3.5%
1200 281
 
2.8%
3400 229
 
2.3%
2200 176
 
1.8%
9300 151
 
1.5%
14500 98
 
1.0%
18600 55
 
0.5%
10800 30
 
0.3%
Other values (79) 250
 
2.5%
ValueCountFrequency (%)
0 4
< 0.1%
190 1
 
< 0.1%
250 1
 
< 0.1%
380 1
 
< 0.1%
420 1
 
< 0.1%
460 3
< 0.1%
490 1
 
< 0.1%
520 1
 
< 0.1%
560 1
 
< 0.1%
580 2
< 0.1%
ValueCountFrequency (%)
248000 1
 
< 0.1%
210000 1
 
< 0.1%
193000 7
 
0.1%
142000 18
0.2%
105000 10
 
0.1%
104000 1
 
< 0.1%
62000 8
 
0.1%
52000 27
0.3%
31000 28
0.3%
29000 21
0.2%

상수도누수요금
Real number (ℝ)

Distinct4523
Distinct (%)45.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82047.898
Minimum0
Maximum7125470
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:20.018664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3600
Q112000
median28260
Q370225
95-th percentile320554.5
Maximum7125470
Range7125470
Interquartile range (IQR)58225

Descriptive statistics

Standard deviation213170.87
Coefficient of variation (CV)2.5981272
Kurtosis265.23086
Mean82047.898
Median Absolute Deviation (MAD)20340
Skewness12.269923
Sum8.2047898 × 108
Variance4.5441821 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:20.143879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 54
 
0.5%
3600 48
 
0.5%
6000 42
 
0.4%
7200 42
 
0.4%
12000 42
 
0.4%
18000 40
 
0.4%
7800 37
 
0.4%
9000 36
 
0.4%
15600 36
 
0.4%
3120 34
 
0.3%
Other values (4513) 9589
95.9%
ValueCountFrequency (%)
0 12
0.1%
360 5
 
0.1%
380 3
 
< 0.1%
390 3
 
< 0.1%
600 7
 
0.1%
620 2
 
< 0.1%
720 18
0.2%
780 4
 
< 0.1%
1000 3
 
< 0.1%
1080 10
0.1%
ValueCountFrequency (%)
7125470 1
< 0.1%
6176520 1
< 0.1%
4843540 1
< 0.1%
3851100 1
< 0.1%
3650500 1
< 0.1%
3430670 1
< 0.1%
3420760 1
< 0.1%
3074020 1
< 0.1%
2753100 1
< 0.1%
2535000 1
< 0.1%

하수도누수요금
Real number (ℝ)

SKEWED  ZEROS 

Distinct5131
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143125.65
Minimum0
Maximum34916640
Zeros425
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:20.441166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1740
Q114255
median38130
Q3108320
95-th percentile602412.5
Maximum34916640
Range34916640
Interquartile range (IQR)94065

Descriptive statistics

Standard deviation554594.64
Coefficient of variation (CV)3.8748796
Kurtosis1795.5895
Mean143125.65
Median Absolute Deviation (MAD)29770
Skewness33.497188
Sum1.4312565 × 109
Variance3.0757522 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:20.663374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 425
 
4.2%
6960 40
 
0.4%
8700 39
 
0.4%
4640 38
 
0.4%
4500 30
 
0.3%
3600 30
 
0.3%
5400 30
 
0.3%
4060 29
 
0.3%
3140 28
 
0.3%
8560 28
 
0.3%
Other values (5121) 9283
92.8%
ValueCountFrequency (%)
0 425
4.2%
440 6
 
0.1%
580 7
 
0.1%
900 17
 
0.2%
1060 7
 
0.1%
1070 1
 
< 0.1%
1160 4
 
< 0.1%
1240 3
 
< 0.1%
1340 15
 
0.1%
1460 1
 
< 0.1%
ValueCountFrequency (%)
34916640 1
< 0.1%
20894250 1
< 0.1%
14206520 1
< 0.1%
6481260 1
< 0.1%
5861340 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5472070 1
< 0.1%
5284500 1
< 0.1%
5261760 1
< 0.1%

물이용누수요금
Real number (ℝ)

Distinct1816
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11115.892
Minimum0
Maximum798800
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:20.844829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q12000
median4395
Q310140
95-th percentile41373.5
Maximum798800
Range798800
Interquartile range (IQR)8140

Descriptive statistics

Standard deviation25747.627
Coefficient of variation (CV)2.3162898
Kurtosis218.54292
Mean11115.892
Median Absolute Deviation (MAD)2975
Skewness11.032595
Sum1.1115892 × 108
Variance6.6294031 × 108
MonotonicityNot monotonic
2023-12-11T01:13:21.014916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1340 119
 
1.2%
1640 114
 
1.1%
740 113
 
1.1%
1040 101
 
1.0%
1120 100
 
1.0%
820 93
 
0.9%
520 93
 
0.9%
1560 93
 
0.9%
600 89
 
0.9%
1940 87
 
0.9%
Other values (1806) 8998
90.0%
ValueCountFrequency (%)
0 24
0.2%
60 9
 
0.1%
70 3
 
< 0.1%
80 8
 
0.1%
120 1
 
< 0.1%
140 27
0.3%
150 4
 
< 0.1%
160 2
 
< 0.1%
220 34
0.3%
280 5
 
0.1%
ValueCountFrequency (%)
798800 1
< 0.1%
694270 1
< 0.1%
599310 1
< 0.1%
543620 1
< 0.1%
411880 1
< 0.1%
383480 1
< 0.1%
379440 1
< 0.1%
349940 1
< 0.1%
346800 1
< 0.1%
308640 1
< 0.1%

상수도차이금액
Real number (ℝ)

Distinct4495
Distinct (%)45.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82051.404
Minimum0
Maximum7125480
Zeros12
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:21.165816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3600
Q112000
median28260
Q370225
95-th percentile320554.5
Maximum7125480
Range7125480
Interquartile range (IQR)58225

Descriptive statistics

Standard deviation213171.25
Coefficient of variation (CV)2.5980208
Kurtosis265.22949
Mean82051.404
Median Absolute Deviation (MAD)20340
Skewness12.269884
Sum8.2051404 × 108
Variance4.5441983 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:21.321321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 54
 
0.5%
3600 48
 
0.5%
12000 42
 
0.4%
6000 42
 
0.4%
7200 42
 
0.4%
18000 40
 
0.4%
7800 37
 
0.4%
9000 36
 
0.4%
15600 36
 
0.4%
3120 34
 
0.3%
Other values (4485) 9589
95.9%
ValueCountFrequency (%)
0 12
0.1%
360 5
 
0.1%
390 3
 
< 0.1%
400 3
 
< 0.1%
600 7
 
0.1%
640 2
 
< 0.1%
720 18
0.2%
780 4
 
< 0.1%
1000 3
 
< 0.1%
1080 10
0.1%
ValueCountFrequency (%)
7125480 1
< 0.1%
6176520 1
< 0.1%
4843550 1
< 0.1%
3851100 1
< 0.1%
3650520 1
< 0.1%
3430670 1
< 0.1%
3420760 1
< 0.1%
3074020 1
< 0.1%
2753100 1
< 0.1%
2535000 1
< 0.1%

하수도차이금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct5131
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143125.65
Minimum0
Maximum34916640
Zeros425
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:21.508300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1740
Q114255
median38130
Q3108320
95-th percentile602412.5
Maximum34916640
Range34916640
Interquartile range (IQR)94065

Descriptive statistics

Standard deviation554594.64
Coefficient of variation (CV)3.8748796
Kurtosis1795.5895
Mean143125.65
Median Absolute Deviation (MAD)29770
Skewness33.497188
Sum1.4312565 × 109
Variance3.0757522 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:21.991591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 425
 
4.2%
6960 40
 
0.4%
8700 39
 
0.4%
4640 38
 
0.4%
4500 30
 
0.3%
3600 30
 
0.3%
5400 30
 
0.3%
4060 29
 
0.3%
3140 28
 
0.3%
8560 28
 
0.3%
Other values (5121) 9283
92.8%
ValueCountFrequency (%)
0 425
4.2%
440 6
 
0.1%
580 7
 
0.1%
900 17
 
0.2%
1060 7
 
0.1%
1070 1
 
< 0.1%
1160 4
 
< 0.1%
1240 3
 
< 0.1%
1340 15
 
0.1%
1460 1
 
< 0.1%
ValueCountFrequency (%)
34916640 1
< 0.1%
20894250 1
< 0.1%
14206520 1
< 0.1%
6481260 1
< 0.1%
5861340 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5472070 1
< 0.1%
5284500 1
< 0.1%
5261760 1
< 0.1%

물이용차이금액
Real number (ℝ)

Distinct1826
Distinct (%)18.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11124.591
Minimum0
Maximum798810
Zeros24
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:22.145100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q12020
median4400
Q310140
95-th percentile41373.5
Maximum798810
Range798810
Interquartile range (IQR)8120

Descriptive statistics

Standard deviation25747.287
Coefficient of variation (CV)2.314448
Kurtosis218.55168
Mean11124.591
Median Absolute Deviation (MAD)2980
Skewness11.032825
Sum1.1124591 × 108
Variance6.6292279 × 108
MonotonicityNot monotonic
2023-12-11T01:13:22.295393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1500 127
 
1.3%
900 120
 
1.2%
600 116
 
1.2%
1200 107
 
1.1%
1800 97
 
1.0%
680 96
 
1.0%
1120 96
 
1.0%
1640 87
 
0.9%
980 81
 
0.8%
1720 79
 
0.8%
Other values (1816) 8994
89.9%
ValueCountFrequency (%)
0 24
0.2%
80 20
0.2%
120 1
 
< 0.1%
140 4
 
< 0.1%
150 4
 
< 0.1%
160 25
0.2%
220 14
0.1%
230 3
 
< 0.1%
240 17
0.2%
290 1
 
< 0.1%
ValueCountFrequency (%)
798810 1
< 0.1%
694280 1
< 0.1%
599310 1
< 0.1%
543620 1
< 0.1%
411900 1
< 0.1%
383490 1
< 0.1%
379440 1
< 0.1%
349940 1
< 0.1%
346800 1
< 0.1%
308640 1
< 0.1%

감면전실제사용료(상)
Real number (ℝ)

SKEWED 

Distinct3385
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266332.21
Minimum0
Maximum44297000
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:22.463750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19860
Q154540
median102600
Q3212600
95-th percentile839005
Maximum44297000
Range44297000
Interquartile range (IQR)158060

Descriptive statistics

Standard deviation965580.57
Coefficient of variation (CV)3.6254742
Kurtosis691.30684
Mean266332.21
Median Absolute Deviation (MAD)60240
Skewness20.992276
Sum2.6633221 × 109
Variance9.3234584 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:22.616196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36000 38
 
0.4%
72000 34
 
0.3%
18300 33
 
0.3%
20640 32
 
0.3%
96000 32
 
0.3%
14400 32
 
0.3%
66000 31
 
0.3%
84000 31
 
0.3%
90000 31
 
0.3%
51000 29
 
0.3%
Other values (3375) 9677
96.8%
ValueCountFrequency (%)
0 20
0.2%
720 1
 
< 0.1%
780 1
 
< 0.1%
1200 1
 
< 0.1%
1440 2
 
< 0.1%
2160 2
 
< 0.1%
2340 2
 
< 0.1%
2400 1
 
< 0.1%
2880 4
 
< 0.1%
3120 2
 
< 0.1%
ValueCountFrequency (%)
44297000 1
< 0.1%
34340480 1
< 0.1%
23507550 1
< 0.1%
18313600 1
< 0.1%
16478640 1
< 0.1%
15760440 1
< 0.1%
14688460 1
< 0.1%
14644570 1
< 0.1%
13981600 1
< 0.1%
13605960 1
< 0.1%

감면전실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct4412
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237085.09
Minimum0
Maximum40162840
Zeros431
Zeros (%)4.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:22.754040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5400
Q133860
median70210
Q3167900
95-th percentile804640
Maximum40162840
Range40162840
Interquartile range (IQR)134040

Descriptive statistics

Standard deviation1062608.9
Coefficient of variation (CV)4.4819725
Kurtosis674.93498
Mean237085.09
Median Absolute Deviation (MAD)46510
Skewness22.721672
Sum2.3708509 × 109
Variance1.1291376 × 1012
MonotonicityNot monotonic
2023-12-11T01:13:22.897398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 431
 
4.3%
11900 33
 
0.3%
13640 32
 
0.3%
44300 27
 
0.3%
17120 26
 
0.3%
29900 26
 
0.3%
34240 26
 
0.3%
9000 25
 
0.2%
13060 25
 
0.2%
17700 23
 
0.2%
Other values (4402) 9326
93.3%
ValueCountFrequency (%)
0 431
4.3%
440 1
 
< 0.1%
580 1
 
< 0.1%
900 2
 
< 0.1%
1060 1
 
< 0.1%
1340 1
 
< 0.1%
1740 1
 
< 0.1%
1800 4
 
< 0.1%
2140 1
 
< 0.1%
2240 2
 
< 0.1%
ValueCountFrequency (%)
40162840 1
< 0.1%
37568640 1
< 0.1%
32509440 1
< 0.1%
31076680 1
< 0.1%
30341280 1
< 0.1%
28710950 1
< 0.1%
24810480 1
< 0.1%
18776160 1
< 0.1%
14736150 1
< 0.1%
13101200 1
< 0.1%

감면전실제사용료(물)
Real number (ℝ)

SKEWED 

Distinct2340
Distinct (%)23.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39945.744
Minimum0
Maximum9392160
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:23.064812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3720
Q19840
median16980
Q331740
95-th percentile110320
Maximum9392160
Range9392160
Interquartile range (IQR)21900

Descriptive statistics

Standard deviation179373.54
Coefficient of variation (CV)4.4904294
Kurtosis1362.3455
Mean39945.744
Median Absolute Deviation (MAD)8940
Skewness30.981742
Sum3.9945744 × 108
Variance3.2174867 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:23.191315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11020 52
 
0.5%
12660 51
 
0.5%
10420 51
 
0.5%
8200 50
 
0.5%
10880 49
 
0.5%
10580 49
 
0.5%
12220 47
 
0.5%
8940 45
 
0.4%
16840 45
 
0.4%
7440 45
 
0.4%
Other values (2330) 9516
95.2%
ValueCountFrequency (%)
0 20
0.2%
140 2
 
< 0.1%
220 1
 
< 0.1%
280 2
 
< 0.1%
300 2
 
< 0.1%
440 5
 
0.1%
580 6
 
0.1%
600 2
 
< 0.1%
740 4
 
< 0.1%
760 1
 
< 0.1%
ValueCountFrequency (%)
9392160 1
< 0.1%
8696980 1
< 0.1%
3865460 1
< 0.1%
3503320 1
< 0.1%
3276490 1
< 0.1%
2718430 1
< 0.1%
2646260 1
< 0.1%
2580990 1
< 0.1%
2553820 1
< 0.1%
2549660 1
< 0.1%

감면후실제사용료(상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct5495
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184652.12
Minimum0
Maximum43645500
Zeros129
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:23.325903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10436
Q137200
median69200
Q3138045
95-th percentile522031
Maximum43645500
Range43645500
Interquartile range (IQR)100845

Descriptive statistics

Standard deviation831028.62
Coefficient of variation (CV)4.5005094
Kurtosis974.01373
Mean184652.12
Median Absolute Deviation (MAD)40600
Skewness25.093147
Sum1.8465212 × 109
Variance6.9060857 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:23.454979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
1.3%
7200 27
 
0.3%
10080 22
 
0.2%
14400 21
 
0.2%
21600 21
 
0.2%
8640 19
 
0.2%
11520 19
 
0.2%
30000 19
 
0.2%
36000 17
 
0.2%
36600 17
 
0.2%
Other values (5485) 9689
96.9%
ValueCountFrequency (%)
0 129
1.3%
360 1
 
< 0.1%
600 1
 
< 0.1%
720 1
 
< 0.1%
1080 2
 
< 0.1%
1160 2
 
< 0.1%
1200 1
 
< 0.1%
1440 11
 
0.1%
1560 9
 
0.1%
1800 2
 
< 0.1%
ValueCountFrequency (%)
43645500 1
< 0.1%
28163960 1
< 0.1%
16382070 1
< 0.1%
14882930 1
< 0.1%
14494940 1
< 0.1%
14341330 1
< 0.1%
13446240 1
< 0.1%
13424290 1
< 0.1%
13132890 1
< 0.1%
12867100 1
< 0.1%

감면후실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1477
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean94067.282
Minimum0
Maximum39292440
Zeros972
Zeros (%)9.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:23.581645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q18560
median21840
Q347080
95-th percentile218015
Maximum39292440
Range39292440
Interquartile range (IQR)38520

Descriptive statistics

Standard deviation816624.32
Coefficient of variation (CV)8.681279
Kurtosis1218.8877
Mean94067.282
Median Absolute Deviation (MAD)16400
Skewness31.748331
Sum9.4067282 × 108
Variance6.6687528 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:23.741019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 972
 
9.7%
7200 170
 
1.7%
9000 168
 
1.7%
8100 158
 
1.6%
6300 146
 
1.5%
5400 145
 
1.5%
4500 133
 
1.3%
2700 131
 
1.3%
3600 120
 
1.2%
900 109
 
1.1%
Other values (1467) 7748
77.5%
ValueCountFrequency (%)
0 972
9.7%
140 1
 
< 0.1%
450 3
 
< 0.1%
580 1
 
< 0.1%
900 109
 
1.1%
1070 1
 
< 0.1%
1160 21
 
0.2%
1350 3
 
< 0.1%
1360 2
 
< 0.1%
1440 1
 
< 0.1%
ValueCountFrequency (%)
39292440 1
 
< 0.1%
31829440 1
 
< 0.1%
30062120 1
 
< 0.1%
29533420 1
 
< 0.1%
24082880 1
 
< 0.1%
18083240 1
 
< 0.1%
8870550 2
< 0.1%
8538520 1
 
< 0.1%
8059280 3
< 0.1%
8054780 1
 
< 0.1%

감면후실제사용료(물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct2630
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28875.777
Minimum0
Maximum9392160
Zeros129
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:23.931535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2000
Q16780
median12000
Q321592.5
95-th percentile69544
Maximum9392160
Range9392160
Interquartile range (IQR)14812.5

Descriptive statistics

Standard deviation167927.66
Coefficient of variation (CV)5.81552
Kurtosis1709.1596
Mean28875.777
Median Absolute Deviation (MAD)6410
Skewness35.429201
Sum2.8875777 × 108
Variance2.8199698 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:24.076724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 129
 
1.3%
7740 41
 
0.4%
8340 39
 
0.4%
10120 36
 
0.4%
2080 36
 
0.4%
5060 36
 
0.4%
2380 36
 
0.4%
10200 35
 
0.4%
1480 35
 
0.4%
4680 35
 
0.4%
Other values (2620) 9542
95.4%
ValueCountFrequency (%)
0 129
1.3%
60 1
 
< 0.1%
100 1
 
< 0.1%
140 2
 
< 0.1%
150 1
 
< 0.1%
220 5
 
0.1%
280 13
 
0.1%
290 1
 
< 0.1%
300 9
 
0.1%
360 2
 
< 0.1%
ValueCountFrequency (%)
9392160 1
< 0.1%
8599840 1
< 0.1%
3171180 1
< 0.1%
2904010 1
< 0.1%
2628000 1
< 0.1%
2549660 1
< 0.1%
2480080 1
< 0.1%
2477680 1
< 0.1%
2441350 1
< 0.1%
2433120 1
< 0.1%

감면실제차이금액(상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1525
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18000.546
Minimum0
Maximum7125480
Zeros7803
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:24.230330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile75541
Maximum7125480
Range7125480
Interquartile range (IQR)0

Descriptive statistics

Standard deviation124057.43
Coefficient of variation (CV)6.8918702
Kurtosis1435.0619
Mean18000.546
Median Absolute Deviation (MAD)0
Skewness31.254323
Sum1.8000546 × 108
Variance1.5390245 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:24.383127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7803
78.0%
4680 16
 
0.2%
3520 12
 
0.1%
11700 12
 
0.1%
5860 11
 
0.1%
7200 10
 
0.1%
7800 9
 
0.1%
14040 9
 
0.1%
6240 9
 
0.1%
10920 8
 
0.1%
Other values (1515) 2101
 
21.0%
ValueCountFrequency (%)
0 7803
78.0%
360 1
 
< 0.1%
720 2
 
< 0.1%
780 1
 
< 0.1%
1080 2
 
< 0.1%
1180 3
 
< 0.1%
1440 4
 
< 0.1%
1560 6
 
0.1%
1800 1
 
< 0.1%
1960 8
 
0.1%
ValueCountFrequency (%)
7125480 1
< 0.1%
4843550 1
< 0.1%
3430670 1
< 0.1%
3086400 1
< 0.1%
2484000 1
< 0.1%
1836600 1
< 0.1%
1802150 1
< 0.1%
1492200 1
< 0.1%
1482860 1
< 0.1%
1283000 1
< 0.1%

감면실제차이금액(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1599
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28297.652
Minimum0
Maximum20894250
Zeros7843
Zeros (%)78.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:24.520466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile104557
Maximum20894250
Range20894250
Interquartile range (IQR)0

Descriptive statistics

Standard deviation290339.31
Coefficient of variation (CV)10.260191
Kurtosis3265.9792
Mean28297.652
Median Absolute Deviation (MAD)0
Skewness51.016532
Sum2.8297652 × 108
Variance8.4296918 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:24.655822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7843
78.4%
5220 15
 
0.1%
8700 14
 
0.1%
17400 10
 
0.1%
9280 9
 
0.1%
13920 9
 
0.1%
11600 9
 
0.1%
9000 9
 
0.1%
6960 8
 
0.1%
4640 8
 
0.1%
Other values (1589) 2066
 
20.7%
ValueCountFrequency (%)
0 7843
78.4%
440 1
 
< 0.1%
580 1
 
< 0.1%
900 3
 
< 0.1%
1340 1
 
< 0.1%
1740 2
 
< 0.1%
1800 3
 
< 0.1%
2240 2
 
< 0.1%
2320 6
 
0.1%
2460 1
 
< 0.1%
ValueCountFrequency (%)
20894250 1
< 0.1%
14206520 1
< 0.1%
5284500 1
< 0.1%
4771420 1
< 0.1%
4243420 1
< 0.1%
4115200 1
< 0.1%
3312000 1
< 0.1%
2450260 1
< 0.1%
2448800 1
< 0.1%
1989600 1
< 0.1%

감면실제차이금액(물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct846
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2677.497
Minimum0
Maximum798810
Zeros7803
Zeros (%)78.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:24.848702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11860
Maximum798810
Range798810
Interquartile range (IQR)0

Descriptive statistics

Standard deviation15958.048
Coefficient of variation (CV)5.9600619
Kurtosis997.09932
Mean2677.497
Median Absolute Deviation (MAD)0
Skewness25.646274
Sum26774970
Variance2.5465929 × 108
MonotonicityNot monotonic
2023-12-11T01:13:25.018691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7803
78.0%
1500 25
 
0.2%
1800 22
 
0.2%
1120 21
 
0.2%
1720 21
 
0.2%
1200 21
 
0.2%
680 20
 
0.2%
900 19
 
0.2%
3280 18
 
0.2%
1640 18
 
0.2%
Other values (836) 2012
 
20.1%
ValueCountFrequency (%)
0 7803
78.0%
120 1
 
< 0.1%
140 2
 
< 0.1%
150 2
 
< 0.1%
220 2
 
< 0.1%
240 2
 
< 0.1%
300 10
 
0.1%
380 9
 
0.1%
440 3
 
< 0.1%
460 5
 
0.1%
ValueCountFrequency (%)
798810 1
< 0.1%
599310 1
< 0.1%
543620 1
< 0.1%
345140 1
< 0.1%
277780 1
< 0.1%
212620 1
< 0.1%
205380 1
< 0.1%
202030 1
< 0.1%
169980 1
< 0.1%
167810 1
< 0.1%

누수실제사용료(상)
Real number (ℝ)

Distinct4505
Distinct (%)45.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean81676.622
Minimum0
Maximum7125470
Zeros27
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:25.209642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3500
Q112000
median28200
Q369985
95-th percentile317953
Maximum7125470
Range7125470
Interquartile range (IQR)57985

Descriptive statistics

Standard deviation211752.75
Coefficient of variation (CV)2.5925748
Kurtosis269.14084
Mean81676.622
Median Absolute Deviation (MAD)20400
Skewness12.315248
Sum8.1676622 × 108
Variance4.4839228 × 1010
MonotonicityNot monotonic
2023-12-11T01:13:25.378621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 56
 
0.6%
3600 47
 
0.5%
12000 42
 
0.4%
6000 42
 
0.4%
18000 40
 
0.4%
7200 40
 
0.4%
7800 39
 
0.4%
5840 35
 
0.4%
15600 35
 
0.4%
9000 35
 
0.4%
Other values (4495) 9589
95.9%
ValueCountFrequency (%)
0 27
0.3%
360 6
 
0.1%
380 3
 
< 0.1%
390 3
 
< 0.1%
600 7
 
0.1%
620 2
 
< 0.1%
720 18
0.2%
780 5
 
0.1%
1000 3
 
< 0.1%
1080 11
0.1%
ValueCountFrequency (%)
7125470 1
< 0.1%
6176520 1
< 0.1%
4843540 1
< 0.1%
3851100 1
< 0.1%
3650500 1
< 0.1%
3430670 1
< 0.1%
3086400 1
< 0.1%
3074020 1
< 0.1%
2535000 1
< 0.1%
2484000 1
< 0.1%

누수실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct5104
Distinct (%)51.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143017.81
Minimum0
Maximum34916640
Zeros438
Zeros (%)4.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:25.806229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1340
Q114075
median37990
Q3108215
95-th percentile602412.5
Maximum34916640
Range34916640
Interquartile range (IQR)94140

Descriptive statistics

Standard deviation554603.24
Coefficient of variation (CV)3.8778614
Kurtosis1795.5039
Mean143017.81
Median Absolute Deviation (MAD)29870
Skewness33.49615
Sum1.4301781 × 109
Variance3.0758476 × 1011
MonotonicityNot monotonic
2023-12-11T01:13:25.918351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 438
 
4.4%
8700 43
 
0.4%
6960 41
 
0.4%
4640 38
 
0.4%
4060 31
 
0.3%
5220 30
 
0.3%
5800 30
 
0.3%
5400 29
 
0.3%
10440 29
 
0.3%
4500 29
 
0.3%
Other values (5094) 9262
92.6%
ValueCountFrequency (%)
0 438
4.4%
440 7
 
0.1%
580 8
 
0.1%
900 18
 
0.2%
1060 7
 
0.1%
1070 1
 
< 0.1%
1160 4
 
< 0.1%
1240 3
 
< 0.1%
1340 15
 
0.1%
1460 1
 
< 0.1%
ValueCountFrequency (%)
34916640 1
< 0.1%
20894250 1
< 0.1%
14206520 1
< 0.1%
6481260 1
< 0.1%
5861340 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5472070 1
< 0.1%
5284500 1
< 0.1%
5261760 1
< 0.1%

누수실제사용료(물)
Real number (ℝ)

Distinct1824
Distinct (%)18.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11061.292
Minimum0
Maximum798800
Zeros39
Zeros (%)0.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-11T01:13:26.032666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q11940
median4340
Q310105
95-th percentile41303.5
Maximum798800
Range798800
Interquartile range (IQR)8165

Descriptive statistics

Standard deviation25595.063
Coefficient of variation (CV)2.3139307
Kurtosis221.41737
Mean11061.292
Median Absolute Deviation (MAD)2920
Skewness11.068648
Sum1.1061292 × 108
Variance6.5510724 × 108
MonotonicityNot monotonic
2023-12-11T01:13:26.153784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1340 118
 
1.2%
1640 115
 
1.1%
740 113
 
1.1%
1120 98
 
1.0%
1040 97
 
1.0%
520 95
 
0.9%
1560 94
 
0.9%
820 92
 
0.9%
1940 87
 
0.9%
600 85
 
0.9%
Other values (1814) 9006
90.1%
ValueCountFrequency (%)
0 39
0.4%
60 9
 
0.1%
70 3
 
< 0.1%
80 8
 
0.1%
100 1
 
< 0.1%
120 1
 
< 0.1%
140 28
0.3%
150 5
 
0.1%
160 2
 
< 0.1%
220 36
0.4%
ValueCountFrequency (%)
798800 1
< 0.1%
694270 1
< 0.1%
599310 1
< 0.1%
543620 1
< 0.1%
411880 1
< 0.1%
379440 1
< 0.1%
349940 1
< 0.1%
346800 1
< 0.1%
345140 1
< 0.1%
277770 1
< 0.1%

처리일자
Date

Distinct271
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2021-01-04 00:00:00
Maximum2022-02-23 00:00:00
2023-12-11T01:13:26.294705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:13:26.423812image/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
9298 
통내누
 
551
3
 
148
4
 
3

Length

Max length4
Median length4
Mean length3.8996
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옥내누수 9298
93.0%
통내누 551
 
5.5%
3 148
 
1.5%
4 3
 
< 0.1%

Length

2023-12-11T01:13:26.548409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:13:26.634037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥내누수 9298
93.0%
통내누 551
 
5.5%
3 148
 
1.5%
4 3
 
< 0.1%

Sample

연번사업소코드사업소명구경감면후사용료(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
22202221303영도 사업소1552960203201032024002104029560374021040295603760740004988014080529602032010320000210402956037402021-01-21옥내누수
72827283307북부 사업소1566420324001359024001458021000284014580210002850810005340016440664203240013590000145802100028402021-04-15옥내누수
1445114452302서부 사업소15123005400252024003660476074036604760760159601016032801230054002520000366047607402021-11-29옥내누수
1200512006309사하 사업소15290780666403510024001731801870002050017320018700020500463980253640556002907806664035100000173180187000205002021-10-15옥내누수
1595215953309사하 사업소1559300135001094024003770050640648037700506406500970006414017440593001350010940000377005064064802021-12-14옥내누수
75387539308해운대 사업소1536220194406840240077809840118077809840120044000292808040362201944068400007780984011802021-06-15옥내누수
99499950308해운대 사업소15188606300378024008780125601700880012560172027660188605500188606300378000087801256017002021-08-14옥내누수
1539715398304부산진 사업소257740068850104303400133560185620158101335601856201581021096025447026240774006885010430000133560185620158102021-12-17통내누
72767277244동래통합사업소1557603600118024007204401607204401606480404013405760360011800007204401602021-04-15통내누
1266212663307북부 사업소15957404208018180240032260432805360322604328053601280008536023540957404208018180000322604328053602021-09-15옥내누수
연번사업소코드사업소명구경감면후사용료(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
813814244동래통합사업소2575930452801551034005850870011205850870011208178053980166307593045280155100005850870011202021-01-20옥내누수
1368313684309사하 사업소15285000498024002850039080498028500390805000570003908099802850004980000285003908049802021-10-19옥내누수
82038204303영도 사업소15490002432087802400130001912019401300019120194062000434401072049000243208780000130001912019402021-07-15옥내누수
87138714303영도 사업소151986201089602600024007082017370084207084017370084402550602736603146018422099960230207084017370084407082017370084202021-08-18옥내누수
1631116312244동래통합사업소15119850757601453012004221011521049904221011521050001620601909701953011985075760145300004221011521049902021-11-15옥내누수
1238112382309사하 사업소15135204500274024006320856012606340856012801986013060402013520450027400006320856012602021-10-15옥내누수
1051010511309사하 사업소1567200296001177012002280040660283022800406602840900007026014610672002960011770000228004066028302021-07-14옥내누수
1255212553244동래통합사업소15696804064014220240058408700110058608700112046740313409380408802264082605860870011205840870011002021-09-14옥내누수
1650916510244동래통합사업소151442003150025920240093800133560155009380013356015520209200147060354801154001350019960938001335601552093800133560155002021-12-14옥내누수
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