Overview

Dataset statistics

Number of variables26
Number of observations1083
Missing cells2273
Missing cells (%)8.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory231.7 KiB
Average record size in memory219.1 B

Variable types

Numeric6
Categorical11
DateTime8
Boolean1

Dataset

Description부산광역시 상수도사업본부에서 상하수도 요금 계산 및 징수를 위해 운영하는 수용가정보시스템에 사용되는 조례위반 정보(조례위반 대장) 자료입니다.
Author부산광역시 상수도사업본부
URLhttps://www.data.go.kr/data/15083424/fileData.do

Alerts

가산금 has constant value ""Constant
일련번호 is highly imbalanced (56.8%)Imbalance
위반항목 is highly imbalanced (53.2%)Imbalance
중가산횟수 is highly imbalanced (93.4%)Imbalance
할인금액 is highly imbalanced (72.0%)Imbalance
중가산금 is highly imbalanced (97.8%)Imbalance
중가산부과여부 is highly imbalanced (95.8%)Imbalance
수납일자 has 133 (12.3%) missing valuesMissing
중가산결정일 has 1070 (98.8%) missing valuesMissing
중가산기한일 has 1070 (98.8%) missing valuesMissing
연번 has unique valuesUnique
조정량 has 362 (33.4%) zerosZeros
위반금액 has 14 (1.3%) zerosZeros
고지(징수)금액 has 14 (1.3%) zerosZeros

Reproduction

Analysis started2024-03-14 09:17:28.615671
Analysis finished2024-03-14 09:17:29.141839
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct1083
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean542
Minimum1
Maximum1083
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:29.361400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile55.1
Q1271.5
median542
Q3812.5
95-th percentile1028.9
Maximum1083
Range1082
Interquartile range (IQR)541

Descriptive statistics

Standard deviation312.77948
Coefficient of variation (CV)0.5770839
Kurtosis-1.2
Mean542
Median Absolute Deviation (MAD)271
Skewness0
Sum586986
Variance97831
MonotonicityStrictly increasing
2024-03-14T18:17:29.643227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
729 1
 
0.1%
715 1
 
0.1%
716 1
 
0.1%
717 1
 
0.1%
718 1
 
0.1%
719 1
 
0.1%
720 1
 
0.1%
721 1
 
0.1%
722 1
 
0.1%
Other values (1073) 1073
99.1%
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 (%)
1083 1
0.1%
1082 1
0.1%
1081 1
0.1%
1080 1
0.1%
1079 1
0.1%
1078 1
0.1%
1077 1
0.1%
1076 1
0.1%
1075 1
0.1%
1074 1
0.1%

사업소코드
Real number (ℝ)

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean296.86704
Minimum244
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:29.853234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum244
5-th percentile244
Q1302
median306
Q3309
95-th percentile312
Maximum312
Range68
Interquartile range (IQR)7

Descriptive statistics

Standard deviation23.413088
Coefficient of variation (CV)0.078867254
Kurtosis1.2693575
Mean296.86704
Median Absolute Deviation (MAD)3
Skewness-1.7746424
Sum321507
Variance548.17269
MonotonicityNot monotonic
2024-03-14T18:17:30.250709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
306 220
20.3%
244 175
16.2%
312 128
11.8%
304 120
11.1%
311 105
9.7%
308 85
 
7.8%
302 74
 
6.8%
307 74
 
6.8%
309 55
 
5.1%
301 33
 
3.0%
ValueCountFrequency (%)
244 175
16.2%
301 33
 
3.0%
302 74
 
6.8%
303 14
 
1.3%
304 120
11.1%
306 220
20.3%
307 74
 
6.8%
308 85
 
7.8%
309 55
 
5.1%
311 105
9.7%
ValueCountFrequency (%)
312 128
11.8%
311 105
9.7%
309 55
 
5.1%
308 85
 
7.8%
307 74
 
6.8%
306 220
20.3%
304 120
11.1%
303 14
 
1.3%
302 74
 
6.8%
301 33
 
3.0%

사업소명
Categorical

Distinct11
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
남부사업소
220 
동래통합사업소
175 
기장사업소
128 
부산진 사업소
120 
강서사업소
105 
Other values (6)
335 

Length

Max length9
Median length5
Mean length6.0378578
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남부사업소 220
20.3%
동래통합사업소 175
16.2%
기장사업소 128
11.8%
부산진 사업소 120
11.1%
강서사업소 105
9.7%
해운대사업소 85
 
7.8%
서부 사업소 74
 
6.8%
북부사업소 74
 
6.8%
사하사업소 55
 
5.1%
중동부사업소 33
 
3.0%

Length

2024-03-14T18:17:30.573298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
남부사업소 220
17.2%
사업소 194
15.2%
동래통합사업소 175
13.7%
기장사업소 128
10.0%
부산진 120
9.4%
강서사업소 105
8.2%
해운대사업소 85
 
6.7%
서부 74
 
5.8%
북부사업소 74
 
5.8%
사하사업소 55
 
4.3%
Other values (2) 47
 
3.7%

접수일자
Date

Distinct166
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-28 00:00:00
2024-03-14T18:17:30.812411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:31.051590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

일련번호
Categorical

IMBALANCE 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
1
884 
2
148 
3
 
45
4
 
6

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 884
81.6%
2 148
 
13.7%
3 45
 
4.2%
4 6
 
0.6%

Length

2024-03-14T18:17:31.280573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:31.451894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 884
81.6%
2 148
 
13.7%
3 45
 
4.2%
4 6
 
0.6%

위반종류
Categorical

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
관파열사고
759 
계량기분실등
323 
무단이설,계량기철거및판매
 
1

Length

Max length13
Median length5
Mean length5.3056325
Min length5

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
관파열사고 759
70.1%
계량기분실등 323
29.8%
무단이설,계량기철거및판매 1
 
0.1%

Length

2024-03-14T18:17:31.714664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:31.939713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관파열사고 759
70.1%
계량기분실등 323
29.8%
무단이설,계량기철거및판매 1
 
0.1%

위반항목
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
관파열사고
759 
계량기분실
243 
계량기매몰
 
46
기타
 
33
봉인파손
 
1

Length

Max length6
Median length5
Mean length4.9085873
Min length2

Unique

Unique2 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
관파열사고 759
70.1%
계량기분실 243
 
22.4%
계량기매몰 46
 
4.2%
기타 33
 
3.0%
봉인파손 1
 
0.1%
무단이설공사 1
 
0.1%

Length

2024-03-14T18:17:32.148686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:32.355310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관파열사고 759
70.1%
계량기분실 243
 
22.4%
계량기매몰 46
 
4.2%
기타 33
 
3.0%
봉인파손 1
 
0.1%
무단이설공사 1
 
0.1%

위반일자
Date

Distinct181
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2008-12-02 00:00:00
Maximum2023-12-25 00:00:00
2024-03-14T18:17:32.572715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:32.936037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

고지일자
Date

Distinct168
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2023-01-02 00:00:00
Maximum2023-12-28 00:00:00
2024-03-14T18:17:33.316746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:33.735960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

납기내일자
Date

Distinct121
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2023-01-13 00:00:00
Maximum2024-01-31 00:00:00
2024-03-14T18:17:34.137866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:34.416402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

납기후일자
Date

Distinct98
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
Minimum2023-01-31 00:00:00
Maximum2024-01-31 00:00:00
2024-03-14T18:17:34.667779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:35.068556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

수납일자
Date

MISSING 

Distinct160
Distinct (%)16.8%
Missing133
Missing (%)12.3%
Memory size8.6 KiB
Minimum2023-01-04 00:00:00
Maximum2023-12-30 00:00:00
2024-03-14T18:17:35.469976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:35.888761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

중가산결정일
Date

MISSING 

Distinct3
Distinct (%)23.1%
Missing1070
Missing (%)98.8%
Memory size8.6 KiB
Minimum2023-07-31 00:00:00
Maximum2023-12-31 00:00:00
2024-03-14T18:17:36.232142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:36.571880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

중가산기한일
Date

MISSING 

Distinct3
Distinct (%)23.1%
Missing1070
Missing (%)98.8%
Memory size8.6 KiB
Minimum2023-08-31 00:00:00
Maximum2024-01-31 00:00:00
2024-03-14T18:17:36.884749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T18:17:37.224077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

중가산횟수
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
1070 
1
 
8
2
 
5

Length

Max length4
Median length4
Mean length3.9639889
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 1070
98.8%
1 8
 
0.7%
2 5
 
0.5%

Length

2024-03-14T18:17:37.626019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:37.967651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1070
98.8%
1 8
 
0.7%
2 5
 
0.5%

순번
Real number (ℝ)

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4847645
Minimum1
Maximum6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:38.258812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile4
Maximum6
Range5
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.2063061
Coefficient of variation (CV)0.48548104
Kurtosis-0.69835505
Mean2.4847645
Median Absolute Deviation (MAD)1
Skewness0.36176618
Sum2691
Variance1.4551743
MonotonicityNot monotonic
2024-03-14T18:17:38.626143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
1 291
26.9%
2 280
25.9%
3 254
23.5%
4 223
20.6%
5 24
 
2.2%
6 11
 
1.0%
ValueCountFrequency (%)
1 291
26.9%
2 280
25.9%
3 254
23.5%
4 223
20.6%
5 24
 
2.2%
6 11
 
1.0%
ValueCountFrequency (%)
6 11
 
1.0%
5 24
 
2.2%
4 223
20.6%
3 254
23.5%
2 280
25.9%
1 291
26.9%

예산과목
Categorical

Distinct9
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
<NA>
440 
관파열복구비
197 
방수료(일반용)
196 
조례위반과태료 등
84 
계량기수선비
66 
Other values (4)
100 

Length

Max length9
Median length8
Mean length5.8624192
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row조례위반과태료 등
2nd row계량기수선비
3rd row계량기교체비
4th row가정용사용료추징
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 440
40.6%
관파열복구비 197
18.2%
방수료(일반용) 196
18.1%
조례위반과태료 등 84
 
7.8%
계량기수선비 66
 
6.1%
계량기교체비 57
 
5.3%
가정용사용료추징 22
 
2.0%
일반용사용료추징 20
 
1.8%
기타변상금,위약금 1
 
0.1%

Length

2024-03-14T18:17:39.022316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:39.371617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 440
37.7%
관파열복구비 197
16.9%
방수료(일반용 196
16.8%
조례위반과태료 84
 
7.2%
등 84
 
7.2%
계량기수선비 66
 
5.7%
계량기교체비 57
 
4.9%
가정용사용료추징 22
 
1.9%
일반용사용료추징 20
 
1.7%
기타변상금,위약금 1
 
0.1%

분류코드
Categorical

Distinct15
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
물이용부담금(일반용)
206 
관파열복구비
197 
방수료(일반용)
196 
하수도(영업용)
191 
조례위반과태료 등
84 
Other values (10)
209 

Length

Max length12
Median length11
Mean length8.1209603
Min length6

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row조례위반과태료 등
2nd row계량기수선비
3rd row계량기교체비
4th row가정용사용료추징
5th row하수도(사회복지)

Common Values

ValueCountFrequency (%)
물이용부담금(일반용) 206
19.0%
관파열복구비 197
18.2%
방수료(일반용) 196
18.1%
하수도(영업용) 191
17.6%
조례위반과태료 등 84
7.8%
계량기수선비 66
 
6.1%
계량기교체비 57
 
5.3%
가정용사용료추징 22
 
2.0%
물이용부담금(가정용) 21
 
1.9%
일반용사용료추징 20
 
1.8%
Other values (5) 23
 
2.1%

Length

2024-03-14T18:17:39.798452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물이용부담금(일반용 206
17.7%
관파열복구비 197
16.9%
방수료(일반용 196
16.8%
하수도(영업용 191
16.4%
조례위반과태료 84
7.2%
등 84
7.2%
계량기수선비 66
 
5.7%
계량기교체비 57
 
4.9%
가정용사용료추징 22
 
1.9%
물이용부담금(가정용 21
 
1.8%
Other values (6) 43
 
3.7%

조정량
Real number (ℝ)

ZEROS 

Distinct51
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.66205
Minimum0
Maximum1312
Zeros362
Zeros (%)33.4%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:40.378008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q310
95-th percentile62
Maximum1312
Range1312
Interquartile range (IQR)10

Descriptive statistics

Standard deviation101.62577
Coefficient of variation (CV)4.9184747
Kurtosis104.8061
Mean20.66205
Median Absolute Deviation (MAD)1
Skewness9.6989119
Sum22377
Variance10327.797
MonotonicityNot monotonic
2024-03-14T18:17:40.828292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 362
33.4%
1 215
19.9%
5 70
 
6.5%
10 49
 
4.5%
2 45
 
4.2%
3 40
 
3.7%
23 21
 
1.9%
9 19
 
1.8%
6 19
 
1.8%
30 17
 
1.6%
Other values (41) 226
20.9%
ValueCountFrequency (%)
0 362
33.4%
1 215
19.9%
2 45
 
4.2%
3 40
 
3.7%
4 15
 
1.4%
5 70
 
6.5%
6 19
 
1.8%
7 4
 
0.4%
8 10
 
0.9%
9 19
 
1.8%
ValueCountFrequency (%)
1312 3
0.3%
1035 3
0.3%
724 3
0.3%
402 3
0.3%
377 3
0.3%
236 3
0.3%
151 3
0.3%
141 3
0.3%
135 4
0.4%
126 3
0.3%

위반금액
Real number (ℝ)

ZEROS 

Distinct440
Distinct (%)40.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183402.11
Minimum0
Maximum18679480
Zeros14
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:41.212242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile300
Q12660
median22460
Q366500
95-th percentile774208
Maximum18679480
Range18679480
Interquartile range (IQR)63840

Descriptive statistics

Standard deviation757921.24
Coefficient of variation (CV)4.1325656
Kurtosis339.30291
Mean183402.11
Median Absolute Deviation (MAD)21110
Skewness15.4698
Sum1.9862448 × 108
Variance5.744446 × 1011
MonotonicityNot monotonic
2024-03-14T18:17:41.662461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34600 58
 
5.4%
30000 49
 
4.5%
1950 35
 
3.2%
150 33
 
3.0%
50000 33
 
3.0%
1330 32
 
3.0%
48460 29
 
2.7%
750 28
 
2.6%
6650 27
 
2.5%
9750 24
 
2.2%
Other values (430) 735
67.9%
ValueCountFrequency (%)
0 14
1.3%
140 1
 
0.1%
150 33
3.0%
300 15
1.4%
340 1
 
0.1%
360 1
 
0.1%
440 2
 
0.2%
450 12
 
1.1%
600 5
 
0.5%
720 1
 
0.1%
ValueCountFrequency (%)
18679480 1
0.1%
6747910 1
0.1%
5886230 1
0.1%
4898400 1
0.1%
4241570 1
0.1%
3880500 1
0.1%
3634750 1
0.1%
3340960 1
0.1%
3324500 1
0.1%
3110290 1
0.1%

할인금액
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0
1005 
6000
 
47
10000
 
31

Length

Max length5
Median length1
Mean length1.2446907
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6000
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 1005
92.8%
6000 47
 
4.3%
10000 31
 
2.9%

Length

2024-03-14T18:17:42.119662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:42.460474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1005
92.8%
6000 47
 
4.3%
10000 31
 
2.9%

고지(징수)금액
Real number (ℝ)

ZEROS 

Distinct441
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean182855.48
Minimum0
Maximum18679480
Zeros14
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size9.6 KiB
2024-03-14T18:17:42.761228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile300
Q12660
median22460
Q366500
95-th percentile774208
Maximum18679480
Range18679480
Interquartile range (IQR)63840

Descriptive statistics

Standard deviation758027.13
Coefficient of variation (CV)4.1454987
Kurtosis339.15646
Mean182855.48
Median Absolute Deviation (MAD)20660
Skewness15.465403
Sum1.9803248 × 108
Variance5.7460513 × 1011
MonotonicityNot monotonic
2024-03-14T18:17:43.019924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34600 58
 
5.4%
24000 47
 
4.3%
1950 35
 
3.2%
150 33
 
3.0%
40000 32
 
3.0%
1330 32
 
3.0%
48460 29
 
2.7%
750 28
 
2.6%
6650 27
 
2.5%
9750 24
 
2.2%
Other values (431) 738
68.1%
ValueCountFrequency (%)
0 14
1.3%
140 1
 
0.1%
150 33
3.0%
300 15
1.4%
340 1
 
0.1%
360 1
 
0.1%
440 2
 
0.2%
450 12
 
1.1%
600 5
 
0.5%
720 1
 
0.1%
ValueCountFrequency (%)
18679480 1
0.1%
6747910 1
0.1%
5886230 1
0.1%
4898400 1
0.1%
4241570 1
0.1%
3880500 1
0.1%
3634750 1
0.1%
3340960 1
0.1%
3324500 1
0.1%
3110290 1
0.1%

가산금
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0
1083 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 1083
100.0%

Length

2024-03-14T18:17:43.259086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:43.414898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1083
100.0%

중가산금
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
0
1078 
600
 
2
360
 
1
1200
 
1
720
 
1

Length

Max length4
Median length1
Mean length1.010157
Min length1

Unique

Unique3 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
0 1078
99.5%
600 2
 
0.2%
360 1
 
0.1%
1200 1
 
0.1%
720 1
 
0.1%

Length

2024-03-14T18:17:43.726911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T18:17:44.070711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 1078
99.5%
600 2
 
0.2%
360 1
 
0.1%
1200 1
 
0.1%
720 1
 
0.1%

중가산부과여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
False
1078 
True
 
5
ValueCountFrequency (%)
False 1078
99.5%
True 5
 
0.5%
2024-03-14T18:17:44.381797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

부과사유
Categorical

Distinct17
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size8.6 KiB
물이용부담금(일반용)
205 
관파열복구비
196 
방수료(일반용)
195 
하수도(영업용)
191 
조례위반과태료 등
84 
Other values (12)
212 

Length

Max length23
Median length12
Mean length8.1597415
Min length4

Unique

Unique5 ?
Unique (%)0.5%

Sample

1st row조례위반과태료 등
2nd row계량기수선비
3rd row계량기교체비
4th row가정용사용료추징
5th row하수도(사회복지)

Common Values

ValueCountFrequency (%)
물이용부담금(일반용) 205
18.9%
관파열복구비 196
18.1%
방수료(일반용) 195
18.0%
하수도(영업용) 191
17.6%
조례위반과태료 등 84
7.8%
계량기수선비 66
 
6.1%
계량기교체비 56
 
5.2%
가정용사용료추징 22
 
2.0%
물이용부담금(가정용) 21
 
1.9%
일반용사용료추징 20
 
1.8%
Other values (7) 27
 
2.5%

Length

2024-03-14T18:17:44.771064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
물이용부담금(일반용 205
17.6%
관파열복구비 196
16.8%
방수료(일반용 195
16.7%
하수도(영업용 191
16.4%
조례위반과태료 84
7.2%
등 84
7.2%
계량기수선비 66
 
5.7%
계량기교체비 56
 
4.8%
가정용사용료추징 22
 
1.9%
물이용부담금(가정용 21
 
1.8%
Other values (8) 47
 
4.0%

Sample

연번사업소코드사업소명접수일자일련번호위반종류위반항목위반일자고지일자납기내일자납기후일자수납일자중가산결정일중가산기한일중가산횟수순번예산과목분류코드조정량위반금액할인금액고지(징수)금액가산금중가산금중가산부과여부부과사유
01306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>1조례위반과태료 등조례위반과태료 등03000060002400000N조례위반과태료 등
12306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>2계량기수선비계량기수선비03460003460000N계량기수선비
23306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>3계량기교체비계량기교체비04846004846000N계량기교체비
34306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>4가정용사용료추징가정용사용료추징151110001110000N가정용사용료추징
45306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>5<NA>하수도(사회복지)1567500675000N하수도(사회복지)
56306남부사업소2023-04-171계량기분실등계량기분실2023-02-012023-04-172023-05-312023-05-312023-04-17<NA><NA><NA>6<NA>물이용부담금(사회복지)1522600226000N물이용부담금(사회복지)
67244동래통합사업소2023-04-201관파열사고관파열사고2023-04-092023-04-202023-05-082023-09-302023-09-26<NA><NA><NA>1관파열복구비관파열복구비1255880025588000N관파열복구비
78244동래통합사업소2023-04-201관파열사고관파열사고2023-04-092023-04-202023-05-082023-09-302023-09-26<NA><NA><NA>2방수료(일반용)방수료(일반용)179800798000N방수료(일반용)
89244동래통합사업소2023-04-201관파열사고관파열사고2023-04-092023-04-202023-05-082023-09-302023-09-26<NA><NA><NA>3<NA>물이용부담금(일반용)1900090000N물이용부담금(일반용)
910244동래통합사업소2023-04-201관파열사고관파열사고2023-04-092023-04-202023-05-082023-09-302023-09-26<NA><NA><NA>4<NA>하수도(영업용)11170001170000N하수도(영업용)
연번사업소코드사업소명접수일자일련번호위반종류위반항목위반일자고지일자납기내일자납기후일자수납일자중가산결정일중가산기한일중가산횟수순번예산과목분류코드조정량위반금액할인금액고지(징수)금액가산금중가산금중가산부과여부부과사유
10731074302서부 사업소2023-12-082계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>5<NA>하수도(가정용)836000360000N하수도(가정용)
10741075302서부 사업소2023-12-082계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>6<NA>물이용부담금(가정용)812000120000N물이용부담금(가정용)
10751076302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>1조례위반과태료 등조례위반과태료 등03000060002400000N조례위반과태료 등
10761077302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>2계량기수선비계량기수선비03460003460000N계량기수선비
10771078302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>6<NA>물이용부담금(가정용)4669800698000N물이용부담금(가정용)
10781079309사하사업소2023-11-271계량기분실등계량기분실2023-11-202023-11-242023-12-082024-01-312023-11-28<NA><NA><NA>1계량기수선비계량기수선비03460003460000N계량기수선비
10791080309사하사업소2023-11-271계량기분실등계량기분실2023-11-202023-11-242023-12-082024-01-312023-11-28<NA><NA><NA>2조례위반과태료 등조례위반과태료 등03000060002400000N조례위반과태료 등
10801081302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>3계량기교체비계량기교체비04846004846000N계량기교체비
10811082302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>4가정용사용료추징가정용사용료추징463588003588000N가정용사용료추징
10821083302서부 사업소2023-12-083계량기분실등계량기매몰2023-12-042023-12-082023-12-312023-12-312023-12-11<NA><NA><NA>5<NA>하수도(가정용)462148002148000N하수도(가정용)