Overview

Dataset statistics

Number of variables28
Number of observations7163
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory249.0 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/15083681/fileData.do

Alerts

누수감면구분 is highly imbalanced (80.4%)Imbalance
감면후사용료(상) is highly skewed (γ1 = 28.56265723)Skewed
감면후사용료(하) is highly skewed (γ1 = 28.40921759)Skewed
감면후물이용부담금 is highly skewed (γ1 = 33.82141282)Skewed
감면전실제사용료(상) is highly skewed (γ1 = 25.39833777)Skewed
감면전실제사용료(하) is highly skewed (γ1 = 22.89730945)Skewed
감면전실제사용료(물) is highly skewed (γ1 = 29.64132635)Skewed
감면후실제사용료(상) is highly skewed (γ1 = 28.49502266)Skewed
감면후실제사용료(하) is highly skewed (γ1 = 28.51133051)Skewed
감면후실제사용료(물) is highly skewed (γ1 = 33.66109964)Skewed
감면실제차이금액(상) is highly skewed (γ1 = 20.29781469)Skewed
감면실제차이금액(물) is highly skewed (γ1 = 21.96834011)Skewed
연번 has unique valuesUnique
감면후사용료(하) has 564 (7.9%) zerosZeros
하수도누수요금 has 291 (4.1%) zerosZeros
하수도차이금액 has 291 (4.1%) zerosZeros
감면전실제사용료(하) has 295 (4.1%) zerosZeros
감면후실제사용료(상) has 106 (1.5%) zerosZeros
감면후실제사용료(하) has 743 (10.4%) zerosZeros
감면후실제사용료(물) has 105 (1.5%) zerosZeros
감면실제차이금액(상) has 5702 (79.6%) zerosZeros
감면실제차이금액(하) has 5727 (80.0%) zerosZeros
감면실제차이금액(물) has 5701 (79.6%) zerosZeros
누수실제사용료(하) has 299 (4.2%) zerosZeros

Reproduction

Analysis started2023-12-12 17:31:08.036788
Analysis finished2023-12-12 17:31:08.449533
Duration0.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct7163
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3582
Minimum1
Maximum7163
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:08.512144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile359.1
Q11791.5
median3582
Q35372.5
95-th percentile6804.9
Maximum7163
Range7162
Interquartile range (IQR)3581

Descriptive statistics

Standard deviation2067.9243
Coefficient of variation (CV)0.57730997
Kurtosis-1.2
Mean3582
Median Absolute Deviation (MAD)1791
Skewness0
Sum25657866
Variance4276311
MonotonicityStrictly increasing
2023-12-13T02:31:08.648736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
4773 1
 
< 0.1%
4784 1
 
< 0.1%
4783 1
 
< 0.1%
4782 1
 
< 0.1%
4781 1
 
< 0.1%
4780 1
 
< 0.1%
4779 1
 
< 0.1%
4778 1
 
< 0.1%
4777 1
 
< 0.1%
Other values (7153) 7153
99.9%
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 (%)
7163 1
< 0.1%
7162 1
< 0.1%
7161 1
< 0.1%
7160 1
< 0.1%
7159 1
< 0.1%
7158 1
< 0.1%
7157 1
< 0.1%
7156 1
< 0.1%
7155 1
< 0.1%
7154 1
< 0.1%

사업소코드
Real number (ℝ)

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean290.15594
Minimum244
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:08.760332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244
5-th percentile244
Q1244
median304
Q3308
95-th percentile311
Maximum312
Range68
Interquartile range (IQR)64

Descriptive statistics

Standard deviation27.315707
Coefficient of variation (CV)0.09414147
Kurtosis-0.79209784
Mean290.15594
Median Absolute Deviation (MAD)4
Skewness-1.0755089
Sum2078387
Variance746.14784
MonotonicityNot monotonic
2023-12-13T02:31:08.854830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
244 1844
25.7%
306 826
11.5%
307 747
10.4%
304 702
 
9.8%
309 697
 
9.7%
301 552
 
7.7%
308 440
 
6.1%
311 393
 
5.5%
303 356
 
5.0%
302 325
 
4.5%
ValueCountFrequency (%)
244 1844
25.7%
301 552
 
7.7%
302 325
 
4.5%
303 356
 
5.0%
304 702
 
9.8%
306 826
11.5%
307 747
10.4%
308 440
 
6.1%
309 697
 
9.7%
311 393
 
5.5%
ValueCountFrequency (%)
312 281
 
3.9%
311 393
5.5%
309 697
9.7%
308 440
6.1%
307 747
10.4%
306 826
11.5%
304 702
9.8%
303 356
5.0%
302 325
 
4.5%
301 552
7.7%

사업소명
Categorical

Distinct11
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
북부통합사업소
1844 
남부 사업소
826 
북부 사업소
747 
부산진 사업소
702 
사하 사업소
697 
Other values (6)
2347 

Length

Max length9
Median length9
Mean length8.2486388
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영도 사업소
2nd row강서 사업소
3rd row사하 사업소
4th row중동부 사업소
5th row해운대 사업소

Common Values

ValueCountFrequency (%)
북부통합사업소 1844
25.7%
남부 사업소 826
11.5%
북부 사업소 747
10.4%
부산진 사업소 702
 
9.8%
사하 사업소 697
 
9.7%
중동부 사업소 552
 
7.7%
해운대 사업소 440
 
6.1%
강서 사업소 393
 
5.5%
영도 사업소 356
 
5.0%
서부 사업소 325
 
4.5%

Length

2023-12-13T02:31:08.995504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사업소 5319
42.6%
북부통합사업소 1844
 
14.8%
남부 826
 
6.6%
북부 747
 
6.0%
부산진 702
 
5.6%
사하 697
 
5.6%
중동부 552
 
4.4%
해운대 440
 
3.5%
강서 393
 
3.1%
영도 356
 
2.9%
Other values (2) 606
 
4.9%

구경
Real number (ℝ)

Distinct12
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.348876
Minimum15
Maximum300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:09.117856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q115
median15
Q315
95-th percentile25
Maximum300
Range285
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.727266
Coefficient of variation (CV)0.80262497
Kurtosis142.98308
Mean18.348876
Median Absolute Deviation (MAD)0
Skewness10.742309
Sum131433
Variance216.89237
MonotonicityNot monotonic
2023-12-13T02:31:09.233745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
15 5664
79.1%
20 672
 
9.4%
25 499
 
7.0%
40 136
 
1.9%
50 73
 
1.0%
32 44
 
0.6%
80 32
 
0.4%
200 16
 
0.2%
100 14
 
0.2%
250 8
 
0.1%
Other values (2) 5
 
0.1%
ValueCountFrequency (%)
15 5664
79.1%
20 672
 
9.4%
25 499
 
7.0%
32 44
 
0.6%
40 136
 
1.9%
50 73
 
1.0%
80 32
 
0.4%
100 14
 
0.2%
150 4
 
0.1%
200 16
 
0.2%
ValueCountFrequency (%)
300 1
 
< 0.1%
250 8
 
0.1%
200 16
 
0.2%
150 4
 
0.1%
100 14
 
0.2%
80 32
 
0.4%
50 73
 
1.0%
40 136
 
1.9%
32 44
 
0.6%
25 499
7.0%

감면후사용료(상)
Real number (ℝ)

SKEWED 

Distinct4347
Distinct (%)60.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187555.11
Minimum0
Maximum44617500
Zeros38
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:09.365960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12276
Q140320
median73260
Q3143000
95-th percentile538844
Maximum44617500
Range44617500
Interquartile range (IQR)102680

Descriptive statistics

Standard deviation949598.21
Coefficient of variation (CV)5.0630358
Kurtosis1042.7247
Mean187555.11
Median Absolute Deviation (MAD)41550
Skewness28.562657
Sum1.3434572 × 109
Variance9.0173677 × 1011
MonotonicityNot monotonic
2023-12-13T02:31:09.522704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 38
 
0.5%
10080 32
 
0.4%
19080 23
 
0.3%
7200 22
 
0.3%
4320 21
 
0.3%
36000 20
 
0.3%
8640 19
 
0.3%
5760 17
 
0.2%
14400 15
 
0.2%
72000 15
 
0.2%
Other values (4337) 6941
96.9%
ValueCountFrequency (%)
0 38
0.5%
720 2
 
< 0.1%
1080 1
 
< 0.1%
1440 10
 
0.1%
1800 3
 
< 0.1%
2160 4
 
0.1%
2400 1
 
< 0.1%
2520 2
 
< 0.1%
2880 4
 
0.1%
3000 3
 
< 0.1%
ValueCountFrequency (%)
44617500 1
< 0.1%
30327200 1
< 0.1%
28163960 1
< 0.1%
26868500 1
< 0.1%
16690110 1
< 0.1%
15365330 1
< 0.1%
13428090 1
< 0.1%
13233090 1
< 0.1%
12665130 1
< 0.1%
10928370 1
< 0.1%

감면후사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1001
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean100360.08
Minimum0
Maximum39292440
Zeros564
Zeros (%)7.9%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:09.671054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q19000
median23080
Q347880
95-th percentile211928
Maximum39292440
Range39292440
Interquartile range (IQR)38880

Descriptive statistics

Standard deviation1016253.8
Coefficient of variation (CV)10.126076
Kurtosis889.12504
Mean100360.08
Median Absolute Deviation (MAD)16780
Skewness28.409218
Sum7.1887926 × 108
Variance1.0327718 × 1012
MonotonicityNot monotonic
2023-12-13T02:31:09.814188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 564
 
7.9%
9000 116
 
1.6%
2700 110
 
1.5%
8100 110
 
1.5%
6300 109
 
1.5%
7200 107
 
1.5%
5400 106
 
1.5%
3600 103
 
1.4%
900 99
 
1.4%
4500 93
 
1.3%
Other values (991) 5646
78.8%
ValueCountFrequency (%)
0 564
7.9%
440 1
 
< 0.1%
450 4
 
0.1%
900 99
 
1.4%
1070 1
 
< 0.1%
1160 2
 
< 0.1%
1340 1
 
< 0.1%
1350 1
 
< 0.1%
1360 3
 
< 0.1%
1800 75
 
1.0%
ValueCountFrequency (%)
39292440 1
< 0.1%
33224120 1
< 0.1%
31829440 1
< 0.1%
30140920 1
< 0.1%
30062120 1
< 0.1%
23557920 1
< 0.1%
20935840 1
< 0.1%
17630640 1
< 0.1%
8723020 2
< 0.1%
8077200 1
< 0.1%

감면후물이용부담금
Real number (ℝ)

SKEWED 

Distinct2253
Distinct (%)31.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28285.794
Minimum0
Maximum8800990
Zeros38
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:09.948874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2300
Q17320
median12720
Q322350
95-th percentile72375
Maximum8800990
Range8800990
Interquartile range (IQR)15030

Descriptive statistics

Standard deviation160820.26
Coefficient of variation (CV)5.6855487
Kurtosis1500.7972
Mean28285.794
Median Absolute Deviation (MAD)6530
Skewness33.821413
Sum2.0261114 × 108
Variance2.5863155 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:10.082707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2080 38
 
0.5%
0 38
 
0.5%
1780 29
 
0.4%
1180 25
 
0.3%
1480 25
 
0.3%
880 23
 
0.3%
14520 23
 
0.3%
3280 23
 
0.3%
6280 22
 
0.3%
13780 22
 
0.3%
Other values (2243) 6895
96.3%
ValueCountFrequency (%)
0 38
0.5%
140 2
 
< 0.1%
220 3
 
< 0.1%
280 11
 
0.2%
360 4
 
0.1%
440 5
 
0.1%
500 2
 
< 0.1%
520 1
 
< 0.1%
580 10
 
0.1%
660 3
 
< 0.1%
ValueCountFrequency (%)
8800990 1
< 0.1%
5265750 1
< 0.1%
3405200 1
< 0.1%
3171180 1
< 0.1%
3003840 1
< 0.1%
2689090 1
< 0.1%
2651810 1
< 0.1%
2549660 1
< 0.1%
2544160 1
< 0.1%
2190500 1
< 0.1%

정액요금
Real number (ℝ)

Distinct75
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4002.5743
Minimum0
Maximum248000
Zeros5
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:10.229288image/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 deviation10933.445
Coefficient of variation (CV)2.7316033
Kurtosis211.02851
Mean4002.5743
Median Absolute Deviation (MAD)0
Skewness13.569331
Sum28670440
Variance1.1954022 × 108
MonotonicityNot monotonic
2023-12-13T02:31:10.388453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2400 5389
75.2%
4400 543
 
7.6%
6800 296
 
4.1%
3400 200
 
2.8%
1200 182
 
2.5%
2200 127
 
1.8%
9300 94
 
1.3%
14500 56
 
0.8%
18600 42
 
0.6%
10800 29
 
0.4%
Other values (65) 205
 
2.9%
ValueCountFrequency (%)
0 5
0.1%
250 1
 
< 0.1%
380 1
 
< 0.1%
460 6
0.1%
500 1
 
< 0.1%
540 1
 
< 0.1%
650 1
 
< 0.1%
720 1
 
< 0.1%
810 3
< 0.1%
850 1
 
< 0.1%
ValueCountFrequency (%)
248000 1
 
< 0.1%
210000 1
 
< 0.1%
193000 8
 
0.1%
142000 16
 
0.2%
105000 3
 
< 0.1%
62000 11
 
0.2%
52000 14
 
0.2%
31000 21
0.3%
29000 17
0.2%
18600 42
0.6%

상수도누수요금
Real number (ℝ)

Distinct3691
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83649.422
Minimum0
Maximum8339760
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:10.513033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3362
Q112070
median29400
Q376090
95-th percentile326889
Maximum8339760
Range8339760
Interquartile range (IQR)64020

Descriptive statistics

Standard deviation215900.65
Coefficient of variation (CV)2.5810179
Kurtosis428.70934
Mean83649.422
Median Absolute Deviation (MAD)21560
Skewness15.232483
Sum5.9918081 × 108
Variance4.6613092 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:10.668806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 38
 
0.5%
9000 35
 
0.5%
12000 30
 
0.4%
3120 30
 
0.4%
3600 29
 
0.4%
12600 28
 
0.4%
2160 26
 
0.4%
7200 26
 
0.4%
18000 26
 
0.4%
7800 25
 
0.3%
Other values (3681) 6870
95.9%
ValueCountFrequency (%)
0 8
 
0.1%
360 3
 
< 0.1%
380 3
 
< 0.1%
390 2
 
< 0.1%
600 4
 
0.1%
620 1
 
< 0.1%
720 20
0.3%
780 5
 
0.1%
1000 2
 
< 0.1%
1080 9
0.1%
ValueCountFrequency (%)
8339760 1
< 0.1%
6176520 1
< 0.1%
3430670 1
< 0.1%
3420760 1
< 0.1%
3229240 1
< 0.1%
3074020 1
< 0.1%
2753100 1
< 0.1%
2211400 1
< 0.1%
2150010 1
< 0.1%
1980580 1
< 0.1%

하수도누수요금
Real number (ℝ)

ZEROS 

Distinct4074
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143465.61
Minimum0
Maximum6481260
Zeros291
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:10.794244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1800
Q114590
median39380
Q3118890
95-th percentile613354
Maximum6481260
Range6481260
Interquartile range (IQR)104300

Descriptive statistics

Standard deviation360159.47
Coefficient of variation (CV)2.5104237
Kurtosis83.686557
Mean143465.61
Median Absolute Deviation (MAD)31280
Skewness7.594611
Sum1.0276442 × 109
Variance1.2971484 × 1011
MonotonicityNot monotonic
2023-12-13T02:31:10.931756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 291
 
4.1%
4640 29
 
0.4%
2700 26
 
0.4%
4060 25
 
0.3%
6960 23
 
0.3%
3600 22
 
0.3%
8560 22
 
0.3%
4500 21
 
0.3%
4040 21
 
0.3%
3140 21
 
0.3%
Other values (4064) 6662
93.0%
ValueCountFrequency (%)
0 291
4.1%
440 6
 
0.1%
580 6
 
0.1%
900 18
 
0.3%
1060 4
 
0.1%
1160 4
 
0.1%
1240 1
 
< 0.1%
1340 13
 
0.2%
1480 2
 
< 0.1%
1580 1
 
< 0.1%
ValueCountFrequency (%)
6481260 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5582560 1
< 0.1%
5472070 1
< 0.1%
5129560 1
< 0.1%
4771420 1
< 0.1%
4611040 1
< 0.1%
4540780 1
< 0.1%
4424160 1
< 0.1%

물이용누수요금
Real number (ℝ)

Distinct1701
Distinct (%)23.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11327.105
Minimum0
Maximum934920
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:11.060840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q12005
median4550
Q310775
95-th percentile42783
Maximum934920
Range934920
Interquartile range (IQR)8770

Descriptive statistics

Standard deviation26399.445
Coefficient of variation (CV)2.3306437
Kurtosis334.31043
Mean11327.105
Median Absolute Deviation (MAD)3130
Skewness13.481806
Sum81136050
Variance6.9693067 × 108
MonotonicityNot monotonic
2023-12-13T02:31:11.218185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1340 81
 
1.1%
600 77
 
1.1%
1640 76
 
1.1%
520 74
 
1.0%
1120 73
 
1.0%
1040 73
 
1.0%
740 69
 
1.0%
900 67
 
0.9%
440 63
 
0.9%
1720 63
 
0.9%
Other values (1691) 6447
90.0%
ValueCountFrequency (%)
0 16
0.2%
60 4
 
0.1%
70 3
 
< 0.1%
80 6
 
0.1%
140 23
0.3%
150 4
 
0.1%
160 3
 
< 0.1%
220 28
0.4%
280 2
 
< 0.1%
290 1
 
< 0.1%
ValueCountFrequency (%)
934920 1
< 0.1%
694270 1
< 0.1%
599310 1
< 0.1%
383480 1
< 0.1%
363960 1
< 0.1%
349940 1
< 0.1%
338750 1
< 0.1%
308640 1
< 0.1%
249660 1
< 0.1%
227470 1
< 0.1%

상수도차이금액
Real number (ℝ)

Distinct3670
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83652.866
Minimum0
Maximum8339760
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:11.422753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3364
Q112080
median29400
Q376090
95-th percentile326889
Maximum8339760
Range8339760
Interquartile range (IQR)64010

Descriptive statistics

Standard deviation215901.06
Coefficient of variation (CV)2.5809165
Kurtosis428.7053
Mean83652.866
Median Absolute Deviation (MAD)21560
Skewness15.232388
Sum5.9920548 × 108
Variance4.6613268 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:11.864516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 38
 
0.5%
9000 35
 
0.5%
12000 30
 
0.4%
3120 30
 
0.4%
3600 29
 
0.4%
12600 28
 
0.4%
7200 26
 
0.4%
2160 26
 
0.4%
18000 26
 
0.4%
7800 25
 
0.3%
Other values (3660) 6870
95.9%
ValueCountFrequency (%)
0 8
 
0.1%
360 3
 
< 0.1%
390 2
 
< 0.1%
400 3
 
< 0.1%
600 4
 
0.1%
640 1
 
< 0.1%
720 20
0.3%
780 5
 
0.1%
1000 2
 
< 0.1%
1080 9
0.1%
ValueCountFrequency (%)
8339760 1
< 0.1%
6176520 1
< 0.1%
3430670 1
< 0.1%
3420760 1
< 0.1%
3229240 1
< 0.1%
3074020 1
< 0.1%
2753100 1
< 0.1%
2211400 1
< 0.1%
2150010 1
< 0.1%
1980580 1
< 0.1%

하수도차이금액
Real number (ℝ)

ZEROS 

Distinct4074
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143465.61
Minimum0
Maximum6481260
Zeros291
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:12.014059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1800
Q114590
median39380
Q3118890
95-th percentile613354
Maximum6481260
Range6481260
Interquartile range (IQR)104300

Descriptive statistics

Standard deviation360159.47
Coefficient of variation (CV)2.5104237
Kurtosis83.686557
Mean143465.61
Median Absolute Deviation (MAD)31280
Skewness7.594611
Sum1.0276442 × 109
Variance1.2971484 × 1011
MonotonicityNot monotonic
2023-12-13T02:31:12.167129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 291
 
4.1%
4640 29
 
0.4%
2700 26
 
0.4%
4060 25
 
0.3%
6960 23
 
0.3%
3600 22
 
0.3%
8560 22
 
0.3%
4500 21
 
0.3%
4040 21
 
0.3%
3140 21
 
0.3%
Other values (4064) 6662
93.0%
ValueCountFrequency (%)
0 291
4.1%
440 6
 
0.1%
580 6
 
0.1%
900 18
 
0.3%
1060 4
 
0.1%
1160 4
 
0.1%
1240 1
 
< 0.1%
1340 13
 
0.2%
1480 2
 
< 0.1%
1580 1
 
< 0.1%
ValueCountFrequency (%)
6481260 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5582560 1
< 0.1%
5472070 1
< 0.1%
5129560 1
< 0.1%
4771420 1
< 0.1%
4611040 1
< 0.1%
4540780 1
< 0.1%
4424160 1
< 0.1%

물이용차이금액
Real number (ℝ)

Distinct1683
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11335.773
Minimum0
Maximum934940
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:12.327963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile600
Q12020
median4560
Q310780
95-th percentile42792
Maximum934940
Range934940
Interquartile range (IQR)8760

Descriptive statistics

Standard deviation26399.208
Coefficient of variation (CV)2.3288406
Kurtosis334.32976
Mean11335.773
Median Absolute Deviation (MAD)3140
Skewness13.482203
Sum81198140
Variance6.9691816 × 108
MonotonicityNot monotonic
2023-12-13T02:31:12.520282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
600 91
 
1.3%
1500 89
 
1.2%
900 82
 
1.1%
1200 81
 
1.1%
1800 69
 
1.0%
1280 69
 
1.0%
2100 67
 
0.9%
1580 65
 
0.9%
680 60
 
0.8%
980 59
 
0.8%
Other values (1673) 6431
89.8%
ValueCountFrequency (%)
0 16
 
0.2%
80 13
 
0.2%
140 5
 
0.1%
150 4
 
0.1%
160 21
0.3%
220 4
 
0.1%
230 6
 
0.1%
240 18
 
0.3%
300 42
0.6%
380 46
0.6%
ValueCountFrequency (%)
934940 1
< 0.1%
694280 1
< 0.1%
599310 1
< 0.1%
383490 1
< 0.1%
363960 1
< 0.1%
349940 1
< 0.1%
338760 1
< 0.1%
308640 1
< 0.1%
249660 1
< 0.1%
227470 1
< 0.1%

감면전실제사용료(상)
Real number (ℝ)

SKEWED 

Distinct2762
Distinct (%)38.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean266225.78
Minimum0
Maximum44297000
Zeros12
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:12.700805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19080
Q154000
median104000
Q3219540
95-th percentile851080
Maximum44297000
Range44297000
Interquartile range (IQR)165540

Descriptive statistics

Standard deviation1081318.7
Coefficient of variation (CV)4.0616603
Kurtosis839.10586
Mean266225.78
Median Absolute Deviation (MAD)61600
Skewness25.398338
Sum1.9069753 × 109
Variance1.1692501 × 1012
MonotonicityNot monotonic
2023-12-13T02:31:12.880377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60000 29
 
0.4%
65000 27
 
0.4%
72000 26
 
0.4%
84000 25
 
0.3%
30000 25
 
0.3%
105000 22
 
0.3%
96000 22
 
0.3%
102000 21
 
0.3%
14400 20
 
0.3%
63000 20
 
0.3%
Other values (2752) 6926
96.7%
ValueCountFrequency (%)
0 12
0.2%
720 1
 
< 0.1%
1440 3
 
< 0.1%
2160 2
 
< 0.1%
2340 1
 
< 0.1%
2880 3
 
< 0.1%
3600 5
0.1%
3900 1
 
< 0.1%
4320 8
0.1%
4680 1
 
< 0.1%
ValueCountFrequency (%)
44297000 1
< 0.1%
38666960 1
< 0.1%
34340480 1
< 0.1%
27662600 1
< 0.1%
19919350 1
< 0.1%
18313600 1
< 0.1%
13605960 1
< 0.1%
13215960 1
< 0.1%
12898800 1
< 0.1%
11382120 1
< 0.1%

감면전실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct3479
Distinct (%)48.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean241326.48
Minimum0
Maximum40162840
Zeros295
Zeros (%)4.1%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:13.054281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4940
Q133860
median71280
Q3174770
95-th percentile840272
Maximum40162840
Range40162840
Interquartile range (IQR)140910

Descriptive statistics

Standard deviation1131846.7
Coefficient of variation (CV)4.6901058
Kurtosis641.78198
Mean241326.48
Median Absolute Deviation (MAD)47780
Skewness22.897309
Sum1.7286216 × 109
Variance1.281077 × 1012
MonotonicityNot monotonic
2023-12-13T02:31:13.212043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 295
 
4.1%
44300 22
 
0.3%
11320 19
 
0.3%
23700 19
 
0.3%
20600 18
 
0.3%
24940 18
 
0.3%
13060 18
 
0.3%
17700 18
 
0.3%
34240 17
 
0.2%
13640 17
 
0.2%
Other values (3469) 6702
93.6%
ValueCountFrequency (%)
0 295
4.1%
440 1
 
< 0.1%
900 3
 
< 0.1%
1340 2
 
< 0.1%
1740 1
 
< 0.1%
1800 3
 
< 0.1%
2240 3
 
< 0.1%
2700 6
 
0.1%
2900 1
 
< 0.1%
3140 2
 
< 0.1%
ValueCountFrequency (%)
40162840 1
< 0.1%
34552840 1
< 0.1%
32509440 1
< 0.1%
31076680 1
< 0.1%
30341280 1
< 0.1%
24958720 1
< 0.1%
22767760 1
< 0.1%
18801300 1
< 0.1%
12447100 1
< 0.1%
11962000 1
< 0.1%

감면전실제사용료(물)
Real number (ℝ)

SKEWED 

Distinct2285
Distinct (%)31.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38657.5
Minimum0
Maximum8696980
Zeros11
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:13.386981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3580
Q19680
median17030
Q332145
95-th percentile111905
Maximum8696980
Range8696980
Interquartile range (IQR)22465

Descriptive statistics

Standard deviation172069.39
Coefficient of variation (CV)4.4511256
Kurtosis1171.0613
Mean38657.5
Median Absolute Deviation (MAD)9070
Skewness29.641326
Sum2.7690367 × 108
Variance2.9607873 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:13.556129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11020 25
 
0.3%
2980 24
 
0.3%
10420 24
 
0.3%
8940 22
 
0.3%
12220 21
 
0.3%
9580 21
 
0.3%
6740 21
 
0.3%
9240 20
 
0.3%
14680 20
 
0.3%
3280 19
 
0.3%
Other values (2275) 6946
97.0%
ValueCountFrequency (%)
0 11
0.2%
40 1
 
< 0.1%
220 1
 
< 0.1%
280 2
 
< 0.1%
300 1
 
< 0.1%
440 5
0.1%
450 1
 
< 0.1%
580 2
 
< 0.1%
600 1
 
< 0.1%
740 5
0.1%
ValueCountFrequency (%)
8696980 1
< 0.1%
5367540 1
< 0.1%
4340140 1
< 0.1%
3865460 1
< 0.1%
3503320 1
< 0.1%
2718430 1
< 0.1%
2643880 1
< 0.1%
2580990 1
< 0.1%
2549660 1
< 0.1%
2271440 1
< 0.1%

감면후실제사용료(상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct4369
Distinct (%)61.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183012.6
Minimum0
Maximum43645500
Zeros106
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:13.709955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9600
Q136720
median70200
Q3139070
95-th percentile528589
Maximum43645500
Range43645500
Interquartile range (IQR)102350

Descriptive statistics

Standard deviation937051.84
Coefficient of variation (CV)5.1201492
Kurtosis1033.3566
Mean183012.6
Median Absolute Deviation (MAD)41760
Skewness28.495023
Sum1.3109193 × 109
Variance8.7806616 × 1011
MonotonicityNot monotonic
2023-12-13T02:31:13.940085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 106
 
1.5%
21600 19
 
0.3%
36000 17
 
0.2%
10080 17
 
0.2%
7200 16
 
0.2%
4320 15
 
0.2%
42000 15
 
0.2%
63480 14
 
0.2%
4680 14
 
0.2%
51000 14
 
0.2%
Other values (4359) 6916
96.6%
ValueCountFrequency (%)
0 106
1.5%
360 1
 
< 0.1%
720 2
 
< 0.1%
1080 1
 
< 0.1%
1160 1
 
< 0.1%
1440 8
 
0.1%
1560 12
 
0.2%
1800 3
 
< 0.1%
2160 5
 
0.1%
2400 1
 
< 0.1%
ValueCountFrequency (%)
43645500 1
< 0.1%
30327200 1
< 0.1%
28163960 1
< 0.1%
26566100 1
< 0.1%
16690110 1
< 0.1%
14882930 1
< 0.1%
13132890 1
< 0.1%
12937890 1
< 0.1%
12168330 1
< 0.1%
10561170 1
< 0.1%

감면후실제사용료(하)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1088
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean97980.981
Minimum0
Maximum39292440
Zeros743
Zeros (%)10.4%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:14.097156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17200
median20600
Q345840
95-th percentile211928
Maximum39292440
Range39292440
Interquartile range (IQR)38640

Descriptive statistics

Standard deviation1011922.3
Coefficient of variation (CV)10.327742
Kurtosis895.40492
Mean97980.981
Median Absolute Deviation (MAD)16100
Skewness28.511331
Sum7.0183777 × 108
Variance1.0239868 × 1012
MonotonicityNot monotonic
2023-12-13T02:31:14.260561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 743
 
10.4%
7200 121
 
1.7%
2700 120
 
1.7%
8100 120
 
1.7%
3600 117
 
1.6%
9000 114
 
1.6%
5400 108
 
1.5%
900 104
 
1.5%
4500 96
 
1.3%
6300 96
 
1.3%
Other values (1078) 5424
75.7%
ValueCountFrequency (%)
0 743
10.4%
440 1
 
< 0.1%
450 5
 
0.1%
900 104
 
1.5%
1070 1
 
< 0.1%
1160 23
 
0.3%
1340 1
 
< 0.1%
1350 3
 
< 0.1%
1360 3
 
< 0.1%
1440 1
 
< 0.1%
ValueCountFrequency (%)
39292440 1
< 0.1%
33224120 1
< 0.1%
31829440 1
< 0.1%
30062120 1
< 0.1%
29533420 1
< 0.1%
23557920 1
< 0.1%
20935840 1
< 0.1%
17441640 1
< 0.1%
8538520 2
< 0.1%
8077200 1
< 0.1%

감면후실제사용료(물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct2442
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27385.601
Minimum0
Maximum8599840
Zeros105
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:14.431690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1780
Q16660
median11980
Q321640
95-th percentile71772
Maximum8599840
Range8599840
Interquartile range (IQR)14980

Descriptive statistics

Standard deviation157897.16
Coefficient of variation (CV)5.7657
Kurtosis1483.7648
Mean27385.601
Median Absolute Deviation (MAD)6440
Skewness33.6611
Sum1.9616306 × 108
Variance2.4931513 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:14.577940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 105
 
1.5%
2080 24
 
0.3%
1480 22
 
0.3%
1780 20
 
0.3%
13100 19
 
0.3%
1180 19
 
0.3%
12880 19
 
0.3%
8340 19
 
0.3%
13780 19
 
0.3%
3120 18
 
0.3%
Other values (2432) 6879
96.0%
ValueCountFrequency (%)
0 105
1.5%
20 1
 
< 0.1%
100 1
 
< 0.1%
140 2
 
< 0.1%
220 5
 
0.1%
280 8
 
0.1%
300 11
 
0.2%
320 2
 
< 0.1%
360 4
 
0.1%
440 6
 
0.1%
ValueCountFrequency (%)
8599840 1
< 0.1%
5203170 1
< 0.1%
3405200 1
< 0.1%
3171180 1
< 0.1%
2904010 1
< 0.1%
2628000 1
< 0.1%
2590720 1
< 0.1%
2549660 1
< 0.1%
2441350 1
< 0.1%
2114510 1
< 0.1%

감면실제차이금액(상)
Real number (ℝ)

SKEWED  ZEROS 

Distinct1094
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15593.757
Minimum0
Maximum3430670
Zeros5702
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:14.713355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile73596
Maximum3430670
Range3430670
Interquartile range (IQR)0

Descriptive statistics

Standard deviation91597.125
Coefficient of variation (CV)5.8739614
Kurtosis592.52872
Mean15593.757
Median Absolute Deviation (MAD)0
Skewness20.297815
Sum1.1169808 × 108
Variance8.3900333 × 109
MonotonicityNot monotonic
2023-12-13T02:31:14.855006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5702
79.6%
4680 11
 
0.2%
6240 9
 
0.1%
7020 8
 
0.1%
14040 8
 
0.1%
7420 7
 
0.1%
11700 7
 
0.1%
6480 7
 
0.1%
7200 6
 
0.1%
5760 6
 
0.1%
Other values (1084) 1392
 
19.4%
ValueCountFrequency (%)
0 5702
79.6%
360 1
 
< 0.1%
720 2
 
< 0.1%
780 1
 
< 0.1%
900 1
 
< 0.1%
1080 3
 
< 0.1%
1110 1
 
< 0.1%
1170 1
 
< 0.1%
1180 2
 
< 0.1%
1440 3
 
< 0.1%
ValueCountFrequency (%)
3430670 1
< 0.1%
3086400 1
< 0.1%
2484000 1
< 0.1%
2150010 1
< 0.1%
1492200 1
< 0.1%
1342800 1
< 0.1%
1194600 1
< 0.1%
1096500 1
< 0.1%
1002000 1
< 0.1%
952800 1
< 0.1%

감면실제차이금액(하)
Real number (ℝ)

ZEROS 

Distinct1116
Distinct (%)15.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21969.365
Minimum0
Maximum4771420
Zeros5727
Zeros (%)80.0%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:14.986253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile99198
Maximum4771420
Range4771420
Interquartile range (IQR)0

Descriptive statistics

Standard deviation128850.95
Coefficient of variation (CV)5.8650285
Kurtosis523.67974
Mean21969.365
Median Absolute Deviation (MAD)0
Skewness18.830062
Sum1.5736656 × 108
Variance1.6602567 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:15.125412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5727
80.0%
13920 8
 
0.1%
5840 8
 
0.1%
10440 8
 
0.1%
8700 8
 
0.1%
9280 8
 
0.1%
8100 8
 
0.1%
4060 7
 
0.1%
5800 7
 
0.1%
4640 7
 
0.1%
Other values (1106) 1367
 
19.1%
ValueCountFrequency (%)
0 5727
80.0%
440 1
 
< 0.1%
900 3
 
< 0.1%
1120 1
 
< 0.1%
1160 1
 
< 0.1%
1340 1
 
< 0.1%
1350 2
 
< 0.1%
1480 1
 
< 0.1%
1740 3
 
< 0.1%
1800 2
 
< 0.1%
ValueCountFrequency (%)
4771420 1
< 0.1%
4115200 1
< 0.1%
3312000 1
< 0.1%
2886670 1
< 0.1%
1989600 1
< 0.1%
1592800 1
< 0.1%
1475700 1
< 0.1%
1389900 1
< 0.1%
1372420 1
< 0.1%
1359660 1
< 0.1%

감면실제차이금액(물)
Real number (ℝ)

SKEWED  ZEROS 

Distinct740
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2362.5478
Minimum0
Maximum599310
Zeros5701
Zeros (%)79.6%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:15.249854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile11772
Maximum599310
Range599310
Interquartile range (IQR)0

Descriptive statistics

Standard deviation13159.426
Coefficient of variation (CV)5.5700148
Kurtosis764.12377
Mean2362.5478
Median Absolute Deviation (MAD)0
Skewness21.96834
Sum16922930
Variance1.731705 × 108
MonotonicityNot monotonic
2023-12-13T02:31:15.400235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5701
79.6%
1360 18
 
0.3%
1800 16
 
0.2%
1500 14
 
0.2%
1200 14
 
0.2%
2100 13
 
0.2%
680 13
 
0.2%
600 11
 
0.2%
2400 11
 
0.2%
980 11
 
0.2%
Other values (730) 1341
 
18.7%
ValueCountFrequency (%)
0 5701
79.6%
20 1
 
< 0.1%
120 1
 
< 0.1%
140 1
 
< 0.1%
150 1
 
< 0.1%
160 1
 
< 0.1%
190 1
 
< 0.1%
220 1
 
< 0.1%
230 5
 
0.1%
240 2
 
< 0.1%
ValueCountFrequency (%)
599310 1
< 0.1%
345140 1
< 0.1%
338760 1
< 0.1%
277780 1
< 0.1%
166870 1
< 0.1%
164370 1
< 0.1%
156930 1
< 0.1%
150960 1
< 0.1%
139640 1
< 0.1%
133590 1
< 0.1%

누수실제사용료(상)
Real number (ℝ)

Distinct3673
Distinct (%)51.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83209.772
Minimum0
Maximum8339760
Zeros17
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:15.547565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3240
Q112000
median29120
Q375930
95-th percentile324579
Maximum8339760
Range8339760
Interquartile range (IQR)63930

Descriptive statistics

Standard deviation214090.72
Coefficient of variation (CV)2.5729036
Kurtosis439.26251
Mean83209.772
Median Absolute Deviation (MAD)21340
Skewness15.364315
Sum5.960316 × 108
Variance4.5834837 × 1010
MonotonicityNot monotonic
2023-12-13T02:31:15.675585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4680 38
 
0.5%
9000 34
 
0.5%
3120 30
 
0.4%
12000 29
 
0.4%
3600 28
 
0.4%
12600 28
 
0.4%
7800 27
 
0.4%
7200 27
 
0.4%
18000 26
 
0.4%
2160 24
 
0.3%
Other values (3663) 6872
95.9%
ValueCountFrequency (%)
0 17
0.2%
200 1
 
< 0.1%
360 4
 
0.1%
380 3
 
< 0.1%
390 2
 
< 0.1%
600 4
 
0.1%
620 1
 
< 0.1%
720 20
0.3%
780 5
 
0.1%
1000 2
 
< 0.1%
ValueCountFrequency (%)
8339760 1
< 0.1%
6176520 1
< 0.1%
3430670 1
< 0.1%
3229240 1
< 0.1%
3086400 1
< 0.1%
3074020 1
< 0.1%
2484000 1
< 0.1%
2211400 1
< 0.1%
2150010 1
< 0.1%
1980580 1
< 0.1%

누수실제사용료(하)
Real number (ℝ)

ZEROS 

Distinct4057
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean143345.5
Minimum0
Maximum6481260
Zeros299
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size63.1 KiB
2023-12-13T02:31:15.821845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1740
Q114500
median39260
Q3118760
95-th percentile613354
Maximum6481260
Range6481260
Interquartile range (IQR)104260

Descriptive statistics

Standard deviation360170.25
Coefficient of variation (CV)2.5126025
Kurtosis83.684796
Mean143345.5
Median Absolute Deviation (MAD)31340
Skewness7.5945316
Sum1.0267838 × 109
Variance1.2972261 × 1011
MonotonicityNot monotonic
2023-12-13T02:31:16.269733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 299
 
4.2%
4640 30
 
0.4%
4060 27
 
0.4%
2700 24
 
0.3%
6960 23
 
0.3%
3600 23
 
0.3%
3140 22
 
0.3%
8560 22
 
0.3%
4040 22
 
0.3%
8700 22
 
0.3%
Other values (4047) 6649
92.8%
ValueCountFrequency (%)
0 299
4.2%
440 7
 
0.1%
580 6
 
0.1%
900 18
 
0.3%
1060 4
 
0.1%
1160 4
 
0.1%
1240 1
 
< 0.1%
1340 12
 
0.2%
1350 2
 
< 0.1%
1480 2
 
< 0.1%
ValueCountFrequency (%)
6481260 1
< 0.1%
5758240 1
< 0.1%
5617950 1
< 0.1%
5582560 1
< 0.1%
5472070 1
< 0.1%
5129560 1
< 0.1%
4771420 1
< 0.1%
4611040 1
< 0.1%
4540780 1
< 0.1%
4424160 1
< 0.1%

누수실제사용료(물)
Real number (ℝ)

Distinct1709
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11263.236
Minimum-60
Maximum934920
Zeros24
Zeros (%)0.3%
Negative1
Negative (%)< 0.1%
Memory size63.1 KiB
2023-12-13T02:31:16.428603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-60
5-th percentile600
Q11940
median4500
Q310675
95-th percentile42246
Maximum934920
Range934980
Interquartile range (IQR)8735

Descriptive statistics

Standard deviation26206.526
Coefficient of variation (CV)2.3267315
Kurtosis341.40381
Mean11263.236
Median Absolute Deviation (MAD)3140
Skewness13.582401
Sum80678560
Variance6.86782 × 108
MonotonicityNot monotonic
2023-12-13T02:31:16.582781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1340 79
 
1.1%
1640 76
 
1.1%
600 75
 
1.0%
520 74
 
1.0%
1040 73
 
1.0%
1120 71
 
1.0%
740 68
 
0.9%
900 67
 
0.9%
1720 63
 
0.9%
440 61
 
0.9%
Other values (1699) 6456
90.1%
ValueCountFrequency (%)
-60 1
 
< 0.1%
0 24
0.3%
20 1
 
< 0.1%
60 4
 
0.1%
70 3
 
< 0.1%
80 6
 
0.1%
100 1
 
< 0.1%
140 23
0.3%
150 4
 
0.1%
160 3
 
< 0.1%
ValueCountFrequency (%)
934920 1
< 0.1%
694270 1
< 0.1%
599310 1
< 0.1%
363960 1
< 0.1%
349940 1
< 0.1%
345140 1
< 0.1%
338750 1
< 0.1%
277770 1
< 0.1%
249660 1
< 0.1%
227470 1
< 0.1%

처리일자
Date

Distinct116
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size56.1 KiB
Minimum2021-01-04 00:00:00
Maximum2021-06-14 00:00:00
2023-12-13T02:31:16.729706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:31:16.924552image/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 size56.1 KiB
옥내누수
6715 
통내누
 
324
3
 
122
4
 
2

Length

Max length4
Median length4
Mean length3.902834
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
옥내누수 6715
93.7%
통내누 324
 
4.5%
3 122
 
1.7%
4 2
 
< 0.1%

Length

2023-12-13T02:31:17.116849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:31:17.258848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥내누수 6715
93.7%
통내누 324
 
4.5%
3 122
 
1.7%
4 2
 
< 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
01303영도 사업소209884029960122004400652401326808020652601326808020164100162640202209884029960122000006524013268080202021-01-23옥내누수
12311강서 사업소20177808062832020580044005971606106406730059718061064067300237526012389602731001778080628320205800000597160610640673002021-01-25옥내누수
23309사하 사업소20316801980065804400237601484049602376014840496055440346401154031680198006580000237601484049602021-01-25통내누
34301중동부 사업소20120360351201978044006624011628087006624011628087001866001514002848012036035120197800006624011628087002021-01-25옥내누수
45308해운대 사업소152144808100332602400201520343320305802015203433203058041600035142063840214480810033260000201520343320305802021-01-25옥내누수
56244북부통합사업소1560660293201206024001434022560248014340225602480750005188014540606602932012060000143402256024802021-01-28옥내누수
67308해운대 사업소1528140162005820240022202960440222029604603036019160628028140162005820000222029604402021-02-15옥내누수
78308해운대 사업소1529300162006060240033804700680340047006803270020900674029300162006060000338047006802021-02-15옥내누수
89308해운대 사업소156816043240137802400312046406003120464060056880388801140053760342401080031204640600312046406002021-02-15옥내누수
910308해운대 사업소157556043240152002400105201566020201054015660202071700499001424061160342401222010540156602020105201566020202021-02-15옥내누수
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
71537154309사하 사업소20116000470801426044006320013464076906322013464077001792201817202196011600047080142600006320013464076902021-04-21옥내누수
71547155244북부통합사업소1590000572401640024009000160401120900016040112099000732801752090000572401640000090001604011202021-04-21옥내누수
71557156244북부통합사업소1584600572401568024003600642044036006420460882006366016140846005724015680000360064204402021-04-21옥내누수
71567157304부산진 사업소15707601132011790240053240860608220532408606082301240009738020020707601132011790000532408606082202021-04-22옥내누수
71577158312기장 사업소1510682001496024003662004540366400456014346001952010682001496000036620045402021-04-22옥내누수
71587159306남부 사업소15149700340602001024001059002308401285010590023084012870255600264900328801497003406020010000105900230840128502021-04-22옥내누수
71597160304부산진 사업소1569300387001438024007380978015007380978015007668048480158806930038700143800007380978015002021-04-22옥내누수
71607161307북부 사업소1519118015788023320240030860779003640308807790036602220602357802698019118015788023320000308607790036402021-04-23옥내누수
71617162244북부통합사업소15495802496099302400114201686021701142016860217061000418201210049580249609930000114201686021702021-04-23옥내누수
71627163244북부통합사업소15152580249602526024001144201863201752011442018632017520267000211280427801525802496025260000114420186320175202021-04-23옥내누수