Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory245.0 B

Variable types

Numeric16
Categorical9
Text2

Dataset

Description부산광역시 상수도사업본부에서 상하수도 요금 계산 및 징수를 위해 운영하는 수용가정보시스템에 사용되는 세입 집계정보(세입월집계_분류코드별) 자료입니다.
Author부산광역시 상수도사업본부
URLhttps://www.data.go.kr/data/15083443/fileData.do

Alerts

불납결손건수 has constant value ""Constant
결손취소건수 has constant value ""Constant
체납이중수납건수 is highly imbalanced (93.0%)Imbalance
과오건수 is highly imbalanced (89.7%)Imbalance
충당건수 is highly imbalanced (98.9%)Imbalance
당월이중수납금액 is highly skewed (γ1 = 49.45984991)Skewed
불납결손금액 is highly skewed (γ1 = 69.86882688)Skewed
결손취소금액 is highly skewed (γ1 = 92.56019857)Skewed
반환건수 is highly skewed (γ1 = 32.27380055)Skewed
반환금액 is highly skewed (γ1 = 98.64197162)Skewed
체납이중수납금액 is highly skewed (γ1 = 24.46094792)Skewed
과오금액 is highly skewed (γ1 = 90.70237888)Skewed
충당금액 is highly skewed (γ1 = 56.26782081)Skewed
연번 has unique valuesUnique
구코드 has 140 (1.4%) zerosZeros
징수건수 has 1776 (17.8%) zerosZeros
징수금액 has 1304 (13.0%) zerosZeros
수납건수 has 588 (5.9%) zerosZeros
수납금액 has 588 (5.9%) zerosZeros
당월이중수납건수 has 9382 (93.8%) zerosZeros
당월이중수납금액 has 9382 (93.8%) zerosZeros
불납결손금액 has 9662 (96.6%) zerosZeros
결손취소금액 has 9971 (99.7%) zerosZeros
반환건수 has 9181 (91.8%) zerosZeros
반환금액 has 9181 (91.8%) zerosZeros
체납이중수납금액 has 9861 (98.6%) zerosZeros
과오금액 has 9779 (97.8%) zerosZeros
충당금액 has 9978 (99.8%) zerosZeros

Reproduction

Analysis started2024-03-14 18:01:45.671690
Analysis finished2024-03-14 18:01:46.585670
Duration0.91 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%
Mean5255.0068
Minimum1
Maximum10505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:46.796741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile528.9
Q12636.75
median5256.5
Q37881.25
95-th percentile9978.05
Maximum10505
Range10504
Interquartile range (IQR)5244.5

Descriptive statistics

Standard deviation3030.9023
Coefficient of variation (CV)0.57676467
Kurtosis-1.1984122
Mean5255.0068
Median Absolute Deviation (MAD)2622.5
Skewness-0.00080437144
Sum52550068
Variance9186368.6
MonotonicityNot monotonic
2024-03-15T03:01:47.242453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
524 1
 
< 0.1%
1378 1
 
< 0.1%
1241 1
 
< 0.1%
9665 1
 
< 0.1%
2631 1
 
< 0.1%
2881 1
 
< 0.1%
9838 1
 
< 0.1%
9574 1
 
< 0.1%
7943 1
 
< 0.1%
6264 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
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 (%)
10505 1
< 0.1%
10504 1
< 0.1%
10503 1
< 0.1%
10502 1
< 0.1%
10501 1
< 0.1%
10499 1
< 0.1%
10498 1
< 0.1%
10497 1
< 0.1%
10496 1
< 0.1%
10495 1
< 0.1%

사업소코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.1676
Minimum101
Maximum312
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:47.624723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum101
5-th percentile244
Q1301
median304
Q3308
95-th percentile312
Maximum312
Range211
Interquartile range (IQR)7

Descriptive statistics

Standard deviation36.572337
Coefficient of variation (CV)0.12691343
Kurtosis7.9204052
Mean288.1676
Median Absolute Deviation (MAD)4
Skewness-2.4798017
Sum2881676
Variance1337.5359
MonotonicityNot monotonic
2024-03-15T03:01:48.006731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
244 1985
19.9%
306 1175
11.8%
307 1128
11.3%
301 931
9.3%
311 748
 
7.5%
304 691
 
6.9%
309 666
 
6.7%
312 606
 
6.1%
308 599
 
6.0%
302 567
 
5.7%
Other values (7) 904
9.0%
ValueCountFrequency (%)
101 140
 
1.4%
201 127
 
1.3%
202 28
 
0.3%
203 46
 
0.5%
204 23
 
0.2%
205 51
 
0.5%
244 1985
19.9%
301 931
9.3%
302 567
 
5.7%
303 489
 
4.9%
ValueCountFrequency (%)
312 606
6.1%
311 748
7.5%
309 666
6.7%
308 599
6.0%
307 1128
11.3%
306 1175
11.8%
304 691
6.9%
303 489
4.9%
302 567
5.7%
301 931
9.3%

사업소명
Categorical

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
동래통합사업소
1985 
남부사업소
1175 
북부사업소
1128 
중동부사업소
931 
강서사업소
748 
Other values (12)
4033 

Length

Max length9
Median length8
Mean length6.0335
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동래통합사업소
2nd row영도사업소
3rd row북부사업소
4th row북부사업소
5th row강서사업소

Common Values

ValueCountFrequency (%)
동래통합사업소 1985
19.9%
남부사업소 1175
11.8%
북부사업소 1128
11.3%
중동부사업소 931
9.3%
강서사업소 748
 
7.5%
부산진 사업소 691
 
6.9%
사하사업소 666
 
6.7%
기장사업소 606
 
6.1%
해운대사업소 599
 
6.0%
서부 사업소 567
 
5.7%
Other values (7) 904
9.0%

Length

2024-03-15T03:01:48.449425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동래통합사업소 1985
17.6%
사업소 1258
11.2%
남부사업소 1175
10.4%
북부사업소 1128
10.0%
중동부사업소 931
8.3%
강서사업소 748
 
6.6%
부산진 691
 
6.1%
사하사업소 666
 
5.9%
기장사업소 606
 
5.4%
해운대사업소 599
 
5.3%
Other values (8) 1471
13.1%

구코드
Real number (ℝ)

ZEROS 

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345.6168
Minimum0
Maximum710
Zeros140
Zeros (%)1.4%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:48.812783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile110
Q1230
median350
Q3470
95-th percentile710
Maximum710
Range710
Interquartile range (IQR)240

Descriptive statistics

Standard deviation157.69776
Coefficient of variation (CV)0.45627921
Kurtosis-0.21013332
Mean345.6168
Median Absolute Deviation (MAD)120
Skewness0.37857145
Sum3456168
Variance24868.584
MonotonicityNot monotonic
2024-03-15T03:01:49.201038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
440 748
 
7.5%
260 705
 
7.0%
470 703
 
7.0%
230 691
 
6.9%
380 666
 
6.7%
530 637
 
6.4%
710 606
 
6.1%
350 599
 
6.0%
290 592
 
5.9%
500 583
 
5.8%
Other values (12) 3470
34.7%
ValueCountFrequency (%)
0 140
 
1.4%
110 403
4.0%
140 567
5.7%
170 528
5.3%
200 489
4.9%
201 127
 
1.3%
202 28
 
0.3%
203 46
 
0.5%
204 23
 
0.2%
205 51
 
0.5%
ValueCountFrequency (%)
710 606
6.1%
530 637
6.4%
500 583
5.8%
470 703
7.0%
440 748
7.5%
410 577
5.8%
380 666
6.7%
350 599
6.0%
320 491
4.9%
290 592
5.9%

구명
Categorical

Distinct22
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
강서구
748 
동래구
705 
연제구
703 
부산진구
691 
사하구
666 
Other values (17)
6487 

Length

Max length4
Median length3
Mean length2.8574
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row연제구
2nd row영도구
3rd row북구
4th row북구
5th row강서구

Common Values

ValueCountFrequency (%)
강서구 748
 
7.5%
동래구 705
 
7.0%
연제구 703
 
7.0%
부산진구 691
 
6.9%
사하구 666
 
6.7%
사상구 637
 
6.4%
기장군 606
 
6.1%
해운대구 599
 
6.0%
남구 592
 
5.9%
수영구 583
 
5.8%
Other values (12) 3470
34.7%

Length

2024-03-15T03:01:49.642648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
강서구 748
 
7.5%
동래구 705
 
7.0%
연제구 703
 
7.0%
부산진구 691
 
6.9%
사하구 666
 
6.7%
사상구 637
 
6.4%
기장군 606
 
6.1%
해운대구 599
 
6.0%
남구 592
 
5.9%
수영구 583
 
5.8%
Other values (12) 3470
34.7%

세입년월
Categorical

Distinct12
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-01
1269 
2023-02
893 
2023-03
837 
2023-05
816 
2023-06
813 
Other values (7)
5372 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-01
2nd row2023-02
3rd row2023-03
4th row2023-08
5th row2023-10

Common Values

ValueCountFrequency (%)
2023-01 1269
12.7%
2023-02 893
8.9%
2023-03 837
8.4%
2023-05 816
8.2%
2023-06 813
8.1%
2023-04 802
8.0%
2023-08 793
7.9%
2023-12 766
7.7%
2023-10 762
7.6%
2023-07 761
7.6%
Other values (2) 1488
14.9%

Length

2024-03-15T03:01:49.863929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2023-01 1269
12.7%
2023-02 893
8.9%
2023-03 837
8.4%
2023-05 816
8.2%
2023-06 813
8.1%
2023-04 802
8.0%
2023-08 793
7.9%
2023-12 766
7.7%
2023-10 762
7.6%
2023-07 761
7.6%
Other values (2) 1488
14.9%

예산과목
Text

Distinct125
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:01:50.625095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length8.6697
Min length4

Characters and Unicode

Total characters86697
Distinct characters156
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique12 ?
Unique (%)0.1%

Sample

1st row기타미수금이월액
2nd row하수도요금
3rd row수용가미수금이월액
4th row하수도요금
5th row물이용부담금
ValueCountFrequency (%)
하수도요금 1781
 
16.4%
물이용부담금 1400
 
12.9%
사용료 737
 
6.8%
수용가미수금이월액 682
 
6.3%
원인자부담금(시설부담금 201
 
1.9%
일반용 193
 
1.8%
가정용 184
 
1.7%
사회복지사용료 183
 
1.7%
욕탕용 178
 
1.6%
설계료(25mm이하 173
 
1.6%
Other values (126) 5138
47.4%
2024-03-15T03:01:51.923352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 5126
 
5.9%
금 4536
 
5.2%
) 4466
 
5.2%
( 4466
 
5.2%
용 3989
 
4.6%
이 3819
 
4.4%
사 3363
 
3.9%
공 3131
 
3.6%
료 3129
 
3.6%
하 2663
 
3.1%
Other values (146) 48009
55.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 70912
81.8%
Close Punctuation 4466
 
5.2%
Open Punctuation 4466
 
5.2%
Lowercase Letter 2498
 
2.9%
Decimal Number 2498
 
2.9%
Other Punctuation 1007
 
1.2%
Space Separator 850
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 5126
 
7.2%
금 4536
 
6.4%
용 3989
 
5.6%
이 3819
 
5.4%
사 3363
 
4.7%
공 3131
 
4.4%
료 3129
 
4.4%
하 2663
 
3.8%
비 2425
 
3.4%
도 1900
 
2.7%
Other values (138) 36831
51.9%
Decimal Number
ValueCountFrequency (%)
2 1249
50.0%
5 870
34.8%
3 379
 
15.2%
Close Punctuation
ValueCountFrequency (%)
) 4466
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4466
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2498
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1007
100.0%
Space Separator
ValueCountFrequency (%)
850
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 70912
81.8%
Common 13287
 
15.3%
Latin 2498
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 5126
 
7.2%
금 4536
 
6.4%
용 3989
 
5.6%
이 3819
 
5.4%
사 3363
 
4.7%
공 3131
 
4.4%
료 3129
 
4.4%
하 2663
 
3.8%
비 2425
 
3.4%
도 1900
 
2.7%
Other values (138) 36831
51.9%
Common
ValueCountFrequency (%)
) 4466
33.6%
( 4466
33.6%
2 1249
 
9.4%
, 1007
 
7.6%
5 870
 
6.5%
850
 
6.4%
3 379
 
2.9%
Latin
ValueCountFrequency (%)
m 2498
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 70912
81.8%
ASCII 15785
 
18.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 5126
 
7.2%
금 4536
 
6.4%
용 3989
 
5.6%
이 3819
 
5.4%
사 3363
 
4.7%
공 3131
 
4.4%
료 3129
 
4.4%
하 2663
 
3.8%
비 2425
 
3.4%
도 1900
 
2.7%
Other values (138) 36831
51.9%
ASCII
ValueCountFrequency (%)
) 4466
28.3%
( 4466
28.3%
m 2498
15.8%
2 1249
 
7.9%
, 1007
 
6.4%
5 870
 
5.5%
850
 
5.4%
3 379
 
2.4%

분류코드
Text

Distinct149
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-15T03:01:52.881961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.8913
Min length4

Characters and Unicode

Total characters98913
Distinct characters157
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)0.2%

Sample

1st row원인자부담금(구경확대)
2nd row하수도(영업용)
3rd row일반용 사용료
4th row하수도(산업용)
5th row물이용부담금(공업용수)
ValueCountFrequency (%)
사용료 1190
 
10.5%
물이용부담금(일반용 375
 
3.3%
하수도(가정용 374
 
3.3%
물이용부담금(가정용 373
 
3.3%
일반용 370
 
3.3%
하수도(영업용 367
 
3.2%
가정용 364
 
3.2%
하수도(욕탕용 263
 
2.3%
물이용부담금(사회복지 254
 
2.2%
하수도(사회복지 253
 
2.2%
Other values (148) 7143
63.1%
2024-03-15T03:01:54.650963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 7774
 
7.9%
) 7774
 
7.9%
용 6866
 
6.9%
사 4525
 
4.6%
수 3954
 
4.0%
공 3842
 
3.9%
료 3800
 
3.8%
이 3115
 
3.1%
하 2733
 
2.8%
m 2660
 
2.7%
Other values (147) 51870
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75685
76.5%
Open Punctuation 7774
 
7.9%
Close Punctuation 7774
 
7.9%
Lowercase Letter 2660
 
2.7%
Decimal Number 2660
 
2.7%
Space Separator 1326
 
1.3%
Other Punctuation 1034
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
용 6866
 
9.1%
사 4525
 
6.0%
수 3954
 
5.2%
공 3842
 
5.1%
료 3800
 
5.0%
이 3115
 
4.1%
하 2733
 
3.6%
비 2481
 
3.3%
정 2136
 
2.8%
금 2027
 
2.7%
Other values (139) 40206
53.1%
Decimal Number
ValueCountFrequency (%)
2 1330
50.0%
5 940
35.3%
3 390
 
14.7%
Open Punctuation
ValueCountFrequency (%)
( 7774
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7774
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2660
100.0%
Space Separator
ValueCountFrequency (%)
1326
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1034
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75685
76.5%
Common 20568
 
20.8%
Latin 2660
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
용 6866
 
9.1%
사 4525
 
6.0%
수 3954
 
5.2%
공 3842
 
5.1%
료 3800
 
5.0%
이 3115
 
4.1%
하 2733
 
3.6%
비 2481
 
3.3%
정 2136
 
2.8%
금 2027
 
2.7%
Other values (139) 40206
53.1%
Common
ValueCountFrequency (%)
( 7774
37.8%
) 7774
37.8%
2 1330
 
6.5%
1326
 
6.4%
, 1034
 
5.0%
5 940
 
4.6%
3 390
 
1.9%
Latin
ValueCountFrequency (%)
m 2660
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75685
76.5%
ASCII 23228
 
23.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 7774
33.5%
) 7774
33.5%
m 2660
 
11.5%
2 1330
 
5.7%
1326
 
5.7%
, 1034
 
4.5%
5 940
 
4.0%
3 390
 
1.7%
Hangul
ValueCountFrequency (%)
용 6866
 
9.1%
사 4525
 
6.0%
수 3954
 
5.2%
공 3842
 
5.1%
료 3800
 
5.0%
이 3115
 
4.1%
하 2733
 
3.6%
비 2481
 
3.3%
정 2136
 
2.8%
금 2027
 
2.7%
Other values (139) 40206
53.1%

결의서구분
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
상수도
6819 
하수도
1781 
물이용
1400 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상수도
2nd row하수도
3rd row상수도
4th row하수도
5th row물이용

Common Values

ValueCountFrequency (%)
상수도 6819
68.2%
하수도 1781
 
17.8%
물이용 1400
 
14.0%

Length

2024-03-15T03:01:55.040161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:01:55.476809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도 6819
68.2%
하수도 1781
 
17.8%
물이용 1400
 
14.0%

징수건수
Real number (ℝ)

ZEROS 

Distinct1373
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean619.9477
Minimum0
Maximum13344
Zeros1776
Zeros (%)17.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:55.687251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q328
95-th percentile5402.1
Maximum13344
Range13344
Interquartile range (IQR)27

Descriptive statistics

Standard deviation1813.0396
Coefficient of variation (CV)2.9245041
Kurtosis10.132972
Mean619.9477
Median Absolute Deviation (MAD)2
Skewness3.224336
Sum6199477
Variance3287112.5
MonotonicityNot monotonic
2024-03-15T03:01:55.951339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2229
22.3%
0 1776
17.8%
2 1101
 
11.0%
3 588
 
5.9%
4 408
 
4.1%
5 247
 
2.5%
6 179
 
1.8%
7 165
 
1.7%
8 150
 
1.5%
9 82
 
0.8%
Other values (1363) 3075
30.8%
ValueCountFrequency (%)
0 1776
17.8%
1 2229
22.3%
2 1101
11.0%
3 588
 
5.9%
4 408
 
4.1%
5 247
 
2.5%
6 179
 
1.8%
7 165
 
1.7%
8 150
 
1.5%
9 82
 
0.8%
ValueCountFrequency (%)
13344 1
< 0.1%
13301 1
< 0.1%
13220 1
< 0.1%
12457 1
< 0.1%
12434 1
< 0.1%
12433 1
< 0.1%
10851 1
< 0.1%
10844 1
< 0.1%
10841 1
< 0.1%
10833 1
< 0.1%

징수금액
Real number (ℝ)

ZEROS 

Distinct6329
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean65129548
Minimum-4.6509436 × 108
Maximum6.775374 × 109
Zeros1304
Zeros (%)13.0%
Negative472
Negative (%)4.7%
Memory size166.0 KiB
2024-03-15T03:01:56.246503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-4.6509436 × 108
5-th percentile0
Q110000
median562200
Q39174587.5
95-th percentile4.8795768 × 108
Maximum6.775374 × 109
Range7.2404684 × 109
Interquartile range (IQR)9164587.5

Descriptive statistics

Standard deviation2.1018931 × 108
Coefficient of variation (CV)3.2272497
Kurtosis119.29762
Mean65129548
Median Absolute Deviation (MAD)562200
Skewness6.8547399
Sum6.5129548 × 1011
Variance4.4179546 × 1016
MonotonicityNot monotonic
2024-03-15T03:01:56.706377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1304
 
13.0%
7000 255
 
2.5%
14000 161
 
1.6%
8000 129
 
1.3%
10000 114
 
1.1%
21000 108
 
1.1%
28000 82
 
0.8%
35000 71
 
0.7%
49000 52
 
0.5%
1330 50
 
0.5%
Other values (6319) 7674
76.7%
ValueCountFrequency (%)
-465094360 1
< 0.1%
-76492800 1
< 0.1%
-39176410 1
< 0.1%
-25649570 1
< 0.1%
-14978000 1
< 0.1%
-14132920 1
< 0.1%
-13121000 1
< 0.1%
-12276100 1
< 0.1%
-9392500 1
< 0.1%
-8910000 1
< 0.1%
ValueCountFrequency (%)
6775374000 1
< 0.1%
1753118000 1
< 0.1%
1711088890 1
< 0.1%
1709126000 1
< 0.1%
1611966090 1
< 0.1%
1590693430 1
< 0.1%
1568989460 1
< 0.1%
1566830080 1
< 0.1%
1566276240 1
< 0.1%
1520547290 1
< 0.1%

수납건수
Real number (ℝ)

ZEROS 

Distinct1477
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580.1321
Minimum0
Maximum12193
Zeros588
Zeros (%)5.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:57.129007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q342
95-th percentile5175.55
Maximum12193
Range12193
Interquartile range (IQR)41

Descriptive statistics

Standard deviation1713.6143
Coefficient of variation (CV)2.9538346
Kurtosis10.512031
Mean580.1321
Median Absolute Deviation (MAD)3
Skewness3.2960967
Sum5801321
Variance2936473.8
MonotonicityNot monotonic
2024-03-15T03:01:57.487055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 2520
25.2%
2 1198
 
12.0%
3 665
 
6.7%
0 588
 
5.9%
4 460
 
4.6%
5 274
 
2.7%
6 215
 
2.1%
7 173
 
1.7%
8 148
 
1.5%
9 83
 
0.8%
Other values (1467) 3676
36.8%
ValueCountFrequency (%)
0 588
 
5.9%
1 2520
25.2%
2 1198
12.0%
3 665
 
6.7%
4 460
 
4.6%
5 274
 
2.7%
6 215
 
2.1%
7 173
 
1.7%
8 148
 
1.5%
9 83
 
0.8%
ValueCountFrequency (%)
12193 1
< 0.1%
12087 1
< 0.1%
11987 1
< 0.1%
11886 1
< 0.1%
11526 1
< 0.1%
10859 1
< 0.1%
10735 1
< 0.1%
10724 1
< 0.1%
10648 1
< 0.1%
10645 1
< 0.1%

수납금액
Real number (ℝ)

ZEROS 

Distinct6975
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64044893
Minimum-139560
Maximum5.634871 × 109
Zeros588
Zeros (%)5.9%
Negative1
Negative (%)< 0.1%
Memory size166.0 KiB
2024-03-15T03:01:57.851953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-139560
5-th percentile0
Q140000
median894895
Q39786542.5
95-th percentile4.7731263 × 108
Maximum5.634871 × 109
Range5.6350106 × 109
Interquartile range (IQR)9746542.5

Descriptive statistics

Standard deviation2.0415345 × 108
Coefficient of variation (CV)3.1876616
Kurtosis72.047204
Mean64044893
Median Absolute Deviation (MAD)891035
Skewness5.8162235
Sum6.4044893 × 1011
Variance4.167863 × 1016
MonotonicityNot monotonic
2024-03-15T03:01:58.093667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 588
 
5.9%
7000 281
 
2.8%
14000 157
 
1.6%
8000 131
 
1.3%
10000 123
 
1.2%
21000 115
 
1.1%
35000 81
 
0.8%
28000 76
 
0.8%
42000 56
 
0.6%
1330 49
 
0.5%
Other values (6965) 8343
83.4%
ValueCountFrequency (%)
-139560 1
 
< 0.1%
0 588
5.9%
8 1
 
< 0.1%
10 1
 
< 0.1%
20 1
 
< 0.1%
90 1
 
< 0.1%
140 2
 
< 0.1%
150 2
 
< 0.1%
300 1
 
< 0.1%
330 1
 
< 0.1%
ValueCountFrequency (%)
5634871000 1
< 0.1%
1753118000 1
< 0.1%
1653042930 1
< 0.1%
1617283570 1
< 0.1%
1590072080 1
< 0.1%
1566537480 1
< 0.1%
1562371600 1
< 0.1%
1555989360 1
< 0.1%
1543536200 1
< 0.1%
1522349640 1
< 0.1%

당월이중수납건수
Real number (ℝ)

ZEROS 

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1062
Minimum0
Maximum8
Zeros9382
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:58.303878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum8
Range8
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.49269243
Coefficient of variation (CV)4.6392885
Kurtosis59.040588
Mean0.1062
Median Absolute Deviation (MAD)0
Skewness6.5795446
Sum1062
Variance0.24274583
MonotonicityNot monotonic
2024-03-15T03:01:58.660584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
0 9382
93.8%
1 343
 
3.4%
2 174
 
1.7%
3 61
 
0.6%
4 29
 
0.3%
8 4
 
< 0.1%
6 3
 
< 0.1%
5 3
 
< 0.1%
7 1
 
< 0.1%
ValueCountFrequency (%)
0 9382
93.8%
1 343
 
3.4%
2 174
 
1.7%
3 61
 
0.6%
4 29
 
0.3%
5 3
 
< 0.1%
6 3
 
< 0.1%
7 1
 
< 0.1%
8 4
 
< 0.1%
ValueCountFrequency (%)
8 4
 
< 0.1%
7 1
 
< 0.1%
6 3
 
< 0.1%
5 3
 
< 0.1%
4 29
 
0.3%
3 61
 
0.6%
2 174
 
1.7%
1 343
 
3.4%
0 9382
93.8%

당월이중수납금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct540
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7258.869
Minimum0
Maximum7903350
Zeros9382
Zeros (%)93.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:01:59.241983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile6607.5
Maximum7903350
Range7903350
Interquartile range (IQR)0

Descriptive statistics

Standard deviation104264.3
Coefficient of variation (CV)14.363712
Kurtosis3399.0574
Mean7258.869
Median Absolute Deviation (MAD)0
Skewness49.45985
Sum72588690
Variance1.0871045 × 1010
MonotonicityNot monotonic
2024-03-15T03:01:59.725433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9382
93.8%
2380 4
 
< 0.1%
120720 4
 
< 0.1%
9000 4
 
< 0.1%
2400 4
 
< 0.1%
16640 4
 
< 0.1%
8100 4
 
< 0.1%
140 3
 
< 0.1%
3160 3
 
< 0.1%
3600 3
 
< 0.1%
Other values (530) 585
 
5.9%
ValueCountFrequency (%)
0 9382
93.8%
140 3
 
< 0.1%
300 1
 
< 0.1%
350 1
 
< 0.1%
440 1
 
< 0.1%
450 1
 
< 0.1%
460 1
 
< 0.1%
740 3
 
< 0.1%
1060 3
 
< 0.1%
1200 2
 
< 0.1%
ValueCountFrequency (%)
7903350 1
< 0.1%
2724760 1
< 0.1%
2168400 1
< 0.1%
2078880 1
< 0.1%
1741770 1
< 0.1%
1561680 1
< 0.1%
1512260 1
< 0.1%
1298470 1
< 0.1%
1238950 1
< 0.1%
1115740 1
< 0.1%

불납결손건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-03-15T03:02:00.421387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:02:00.723626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

불납결손금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct319
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42128.903
Minimum0
Maximum1.1723828 × 108
Zeros9662
Zeros (%)96.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:02:01.061467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1.1723828 × 108
Range1.1723828 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1354896.8
Coefficient of variation (CV)32.160742
Kurtosis5728.2713
Mean42128.903
Median Absolute Deviation (MAD)0
Skewness69.868827
Sum4.2128903 × 108
Variance1.8357453 × 1012
MonotonicityNot monotonic
2024-03-15T03:02:01.596323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9662
96.6%
2470 6
 
0.1%
7410 4
 
< 0.1%
12350 3
 
< 0.1%
4530 2
 
< 0.1%
28980 2
 
< 0.1%
9960 2
 
< 0.1%
5010 2
 
< 0.1%
4940 2
 
< 0.1%
14000 2
 
< 0.1%
Other values (309) 313
 
3.1%
ValueCountFrequency (%)
0 9662
96.6%
50 1
 
< 0.1%
70 1
 
< 0.1%
130 1
 
< 0.1%
140 2
 
< 0.1%
200 1
 
< 0.1%
410 1
 
< 0.1%
420 1
 
< 0.1%
610 1
 
< 0.1%
920 1
 
< 0.1%
ValueCountFrequency (%)
117238280 1
< 0.1%
42858390 1
< 0.1%
24708130 1
< 0.1%
23345880 1
< 0.1%
19224330 1
< 0.1%
16794908 1
< 0.1%
16064240 1
< 0.1%
11716620 1
< 0.1%
11495980 1
< 0.1%
7952420 1
< 0.1%

결손취소건수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

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 10000
100.0%

Length

2024-03-15T03:02:02.031065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:02:02.336052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

결손취소금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean807.717
Minimum0
Maximum5226360
Zeros9971
Zeros (%)99.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:02:02.774161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum5226360
Range5226360
Interquartile range (IQR)0

Descriptive statistics

Standard deviation53806.427
Coefficient of variation (CV)66.615444
Kurtosis8916.2742
Mean807.717
Median Absolute Deviation (MAD)0
Skewness92.560199
Sum8077170
Variance2.8951316 × 109
MonotonicityNot monotonic
2024-03-15T03:02:03.105110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
0 9971
99.7%
29390 1
 
< 0.1%
3240 1
 
< 0.1%
1230 1
 
< 0.1%
135740 1
 
< 0.1%
144740 1
 
< 0.1%
64180 1
 
< 0.1%
470 1
 
< 0.1%
14570 1
 
< 0.1%
5226360 1
 
< 0.1%
Other values (20) 20
 
0.2%
ValueCountFrequency (%)
0 9971
99.7%
280 1
 
< 0.1%
450 1
 
< 0.1%
470 1
 
< 0.1%
1230 1
 
< 0.1%
1890 1
 
< 0.1%
2780 1
 
< 0.1%
3240 1
 
< 0.1%
5160 1
 
< 0.1%
9950 1
 
< 0.1%
ValueCountFrequency (%)
5226360 1
< 0.1%
1069030 1
< 0.1%
596200 1
< 0.1%
238530 1
< 0.1%
144740 1
< 0.1%
135740 1
< 0.1%
126000 1
< 0.1%
104160 1
< 0.1%
80300 1
< 0.1%
64180 1
< 0.1%

반환건수
Real number (ℝ)

SKEWED  ZEROS 

Distinct26
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2111
Minimum0
Maximum100
Zeros9181
Zeros (%)91.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:02:03.324968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum100
Range100
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.6415865
Coefficient of variation (CV)7.7763454
Kurtosis1587.6684
Mean0.2111
Median Absolute Deviation (MAD)0
Skewness32.273801
Sum2111
Variance2.6948063
MonotonicityNot monotonic
2024-03-15T03:02:03.548458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0 9181
91.8%
1 463
 
4.6%
2 157
 
1.6%
3 81
 
0.8%
4 30
 
0.3%
5 27
 
0.3%
6 12
 
0.1%
7 9
 
0.1%
10 8
 
0.1%
9 6
 
0.1%
Other values (16) 26
 
0.3%
ValueCountFrequency (%)
0 9181
91.8%
1 463
 
4.6%
2 157
 
1.6%
3 81
 
0.8%
4 30
 
0.3%
5 27
 
0.3%
6 12
 
0.1%
7 9
 
0.1%
8 6
 
0.1%
9 6
 
0.1%
ValueCountFrequency (%)
100 1
< 0.1%
49 1
< 0.1%
46 1
< 0.1%
39 1
< 0.1%
38 1
< 0.1%
29 1
< 0.1%
24 1
< 0.1%
19 1
< 0.1%
18 1
< 0.1%
17 2
< 0.1%

반환금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct753
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85915.307
Minimum-1162700
Maximum4.6509436 × 108
Zeros9181
Zeros (%)91.8%
Negative4
Negative (%)< 0.1%
Memory size166.0 KiB
2024-03-15T03:02:03.978880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1162700
5-th percentile0
Q10
median0
Q30
95-th percentile47249.5
Maximum4.6509436 × 108
Range4.6625706 × 108
Interquartile range (IQR)0

Descriptive statistics

Standard deviation4672146.9
Coefficient of variation (CV)54.380844
Kurtosis9816.3878
Mean85915.307
Median Absolute Deviation (MAD)0
Skewness98.641972
Sum8.5915306 × 108
Variance2.1828957 × 1013
MonotonicityNot monotonic
2024-03-15T03:02:04.233871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9181
91.8%
7000 16
 
0.2%
1330 12
 
0.1%
150 8
 
0.1%
5840 5
 
0.1%
1960 4
 
< 0.1%
13320 3
 
< 0.1%
13080 3
 
< 0.1%
1360 3
 
< 0.1%
2700 3
 
< 0.1%
Other values (743) 762
 
7.6%
ValueCountFrequency (%)
-1162700 1
 
< 0.1%
-328710 1
 
< 0.1%
-227882 1
 
< 0.1%
-24200 1
 
< 0.1%
0 9181
91.8%
140 1
 
< 0.1%
150 8
 
0.1%
300 1
 
< 0.1%
350 1
 
< 0.1%
450 1
 
< 0.1%
ValueCountFrequency (%)
465094360 1
< 0.1%
18706120 1
< 0.1%
14978000 1
< 0.1%
14753900 1
< 0.1%
14132920 1
< 0.1%
13121000 1
< 0.1%
12276100 1
< 0.1%
8910000 1
< 0.1%
7904900 1
< 0.1%
7495680 1
< 0.1%

체납이중수납건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9861 
1
 
127
2
 
12

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 9861
98.6%
1 127
 
1.3%
2 12
 
0.1%

Length

2024-03-15T03:02:04.460790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:02:04.629131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9861
98.6%
1 127
 
1.3%
2 12
 
0.1%

체납이중수납금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct126
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean462.371
Minimum0
Maximum306030
Zeros9861
Zeros (%)98.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:02:04.851816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum306030
Range306030
Interquartile range (IQR)0

Descriptive statistics

Standard deviation6983.202
Coefficient of variation (CV)15.103028
Kurtosis755.81831
Mean462.371
Median Absolute Deviation (MAD)0
Skewness24.460948
Sum4623710
Variance48765111
MonotonicityNot monotonic
2024-03-15T03:02:05.296313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9861
98.6%
2470 6
 
0.1%
2800 3
 
< 0.1%
8340 3
 
< 0.1%
15820 3
 
< 0.1%
7860 2
 
< 0.1%
22240 2
 
< 0.1%
7800 2
 
< 0.1%
105870 1
 
< 0.1%
14820 1
 
< 0.1%
Other values (116) 116
 
1.2%
ValueCountFrequency (%)
0 9861
98.6%
60 1
 
< 0.1%
160 1
 
< 0.1%
300 1
 
< 0.1%
310 1
 
< 0.1%
390 1
 
< 0.1%
590 1
 
< 0.1%
610 1
 
< 0.1%
760 1
 
< 0.1%
1090 1
 
< 0.1%
ValueCountFrequency (%)
306030 1
< 0.1%
247600 1
< 0.1%
190460 1
< 0.1%
177860 1
< 0.1%
174270 1
< 0.1%
148740 1
< 0.1%
136780 1
< 0.1%
121560 1
< 0.1%
119920 1
< 0.1%
113560 1
< 0.1%

과오건수
Categorical

IMBALANCE 

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9779 
1
 
201
2
 
20

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 9779
97.8%
1 201
 
2.0%
2 20
 
0.2%

Length

2024-03-15T03:02:05.712870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:02:06.016788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9779
97.8%
1 201
 
2.0%
2 20
 
0.2%

과오금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1751.998
Minimum-175940
Maximum6749000
Zeros9779
Zeros (%)97.8%
Negative6
Negative (%)0.1%
Memory size166.0 KiB
2024-03-15T03:02:06.342138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-175940
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6749000
Range6924940
Interquartile range (IQR)0

Descriptive statistics

Standard deviation69828.924
Coefficient of variation (CV)39.856738
Kurtosis8724.1121
Mean1751.998
Median Absolute Deviation (MAD)0
Skewness90.702379
Sum17519980
Variance4.8760787 × 109
MonotonicityNot monotonic
2024-03-15T03:02:06.606113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 9779
97.8%
2470 3
 
< 0.1%
140 2
 
< 0.1%
90 2
 
< 0.1%
310 2
 
< 0.1%
10160 2
 
< 0.1%
11880 2
 
< 0.1%
470 2
 
< 0.1%
780 1
 
< 0.1%
7570 1
 
< 0.1%
Other values (204) 204
 
2.0%
ValueCountFrequency (%)
-175940 1
 
< 0.1%
-122000 1
 
< 0.1%
-62360 1
 
< 0.1%
-54820 1
 
< 0.1%
-35620 1
 
< 0.1%
-9460 1
 
< 0.1%
0 9779
97.8%
10 1
 
< 0.1%
60 1
 
< 0.1%
70 1
 
< 0.1%
ValueCountFrequency (%)
6749000 1
< 0.1%
805720 1
< 0.1%
670480 1
< 0.1%
628040 1
< 0.1%
496480 1
< 0.1%
423940 1
< 0.1%
388180 1
< 0.1%
354040 1
< 0.1%
333840 1
< 0.1%
316500 1
< 0.1%

충당건수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
9978 
1
 
17
4
 
3
3
 
1
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
0 9978
99.8%
1 17
 
0.2%
4 3
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

Length

2024-03-15T03:02:06.855996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:02:07.032479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 9978
99.8%
1 17
 
0.2%
4 3
 
< 0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%

충당금액
Real number (ℝ)

SKEWED  ZEROS 

Distinct23
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean287.998
Minimum0
Maximum851600
Zeros9978
Zeros (%)99.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-15T03:02:07.214222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum851600
Range851600
Interquartile range (IQR)0

Descriptive statistics

Standard deviation11804.23
Coefficient of variation (CV)40.987195
Kurtosis3547.896
Mean287.998
Median Absolute Deviation (MAD)0
Skewness56.267821
Sum2879980
Variance1.3933985 × 108
MonotonicityNot monotonic
2024-03-15T03:02:07.520940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 9978
99.8%
614410 1
 
< 0.1%
3960 1
 
< 0.1%
14160 1
 
< 0.1%
22240 1
 
< 0.1%
179340 1
 
< 0.1%
72540 1
 
< 0.1%
18100 1
 
< 0.1%
28880 1
 
< 0.1%
305110 1
 
< 0.1%
Other values (13) 13
 
0.1%
ValueCountFrequency (%)
0 9978
99.8%
2470 1
 
< 0.1%
3270 1
 
< 0.1%
3960 1
 
< 0.1%
6460 1
 
< 0.1%
6780 1
 
< 0.1%
9860 1
 
< 0.1%
14160 1
 
< 0.1%
18100 1
 
< 0.1%
22240 1
 
< 0.1%
ValueCountFrequency (%)
851600 1
< 0.1%
614410 1
< 0.1%
305110 1
< 0.1%
302630 1
< 0.1%
241800 1
< 0.1%
179340 1
< 0.1%
72540 1
< 0.1%
60170 1
< 0.1%
52080 1
< 0.1%
31850 1
< 0.1%

Sample

연번사업소코드사업소명구코드구명세입년월예산과목분류코드결의서구분징수건수징수금액수납건수수납금액당월이중수납건수당월이중수납금액불납결손건수불납결손금액결손취소건수결손취소금액반환건수반환금액체납이중수납건수체납이중수납금액과오건수과오금액충당건수충당금액
523524244동래통합사업소470연제구2023-01기타미수금이월액원인자부담금(구경확대)상수도181459800000000000000000
74907491303영도사업소200영도구2023-02하수도요금하수도(영업용)하수도19471844818501767177717440112840000000000000
43824383307북부사업소320북구2023-03수용가미수금이월액일반용 사용료상수도001391169861000000000000000
24622463307북부사업소320북구2023-08하수도요금하수도(산업용)하수도813579208130687000000000000000
82978298311강서사업소440강서구2023-10물이용부담금물이용부담금(공업용수)물이용0012650000476100000000000
58135814309사하사업소380사하구2023-08자재비(신설,기타)자재비(신설,기타)상수도27530027530000000000000000
28392840244동래통합사업소260동래구2023-04일반용(온천) 사용료일반용(온천) 사용료상수도213766002137660000000000000000
50155016201시설관리사업소201시설2023-06시공비(신설,비정액제)시공비(신설,비정액제)상수도111181120001111811200000000000000000
94659466309사하사업소380사하구2023-05준공검사수수료(비정액제)준공검사수수료(비정액제)상수도180001800000000000000000
3839307북부사업소320북구2023-01하수도요금하수도(가정용)하수도2332302398200000000000000000
연번사업소코드사업소명구코드구명세입년월예산과목분류코드결의서구분징수건수징수금액수납건수수납금액당월이중수납건수당월이중수납금액불납결손건수불납결손금액결손취소건수결손취소금액반환건수반환금액체납이중수납건수체납이중수납금액과오건수과오금액충당건수충당금액
15201521301중동부사업소110중구2023-03일반용 사용료일반용 사용료상수도21913114186302205311543700148464000001484640000000
72077208306남부사업소290남구2023-02준공검사료(32mm이상)준공검사료(32mm이상)상수도180001800000000000000000
64896490307북부사업소320북구2023-09원인자부담금(기타공사)원인자부담금(기타공사)상수도1528000152800000000000000000
88918892311강서사업소440강서구2023-11물이용부담금물이용부담금(공업용수)물이용971776154409717643145000000000000000
24772478308해운대사업소350해운대구2023-08시공비(세대별분리공사)시공비(세대별분리공사)상수도1103400110340000000000000000
45084509301중동부사업소110중구2023-06물이용부담금물이용부담금(욕탕용)물이용19203683018187266000000000000000
30663067303영도사업소200영도구2023-04성능검사료(25mm이하)성능검사료(25mm이하)상수도170000000000000000000
15891590306남부사업소500수영구2023-08하수도요금하수도(욕탕용)하수도364367298035431606600000001467820000000
50275028306남부사업소500수영구2023-06설계료(개조25mm이하)설계료(개조25mm이하)상수도32100032100000000000000000
73707371307북부사업소530사상구2023-05물이용부담금물이용부담금(욕탕용)물이용0012686000000000000000