Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells6
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory566.4 KiB
Average record size in memory58.0 B

Variable types

Text3
Categorical1
Numeric2

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15819/S/1/datasetView.do

Alerts

금액 is highly skewed (γ1 = 50.86999756)Skewed

Reproduction

Analysis started2024-05-11 02:33:18.871314
Analysis finished2024-05-11 02:33:23.368982
Duration4.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2128
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:33:23.741805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length7.3183
Min length2

Characters and Unicode

Total characters73183
Distinct characters432
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique202 ?
Unique (%)2.0%

Sample

1st row남가좌현대아파트
2nd row서초유원
3rd row홍은벽산
4th row삼성동중앙하이츠빌리지
5th row신동아
ValueCountFrequency (%)
아파트 183
 
1.7%
래미안 44
 
0.4%
고덕 25
 
0.2%
힐스테이트 24
 
0.2%
아이파크 24
 
0.2%
도곡렉슬 23
 
0.2%
e편한세상 23
 
0.2%
도봉한신 23
 
0.2%
올림픽선수기자촌아파트 21
 
0.2%
잠실리센츠 20
 
0.2%
Other values (2197) 10297
96.2%
2024-05-11T02:33:24.919693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2573
 
3.5%
파 2438
 
3.3%
트 2273
 
3.1%
지 2012
 
2.7%
대 1720
 
2.4%
단 1583
 
2.2%
동 1566
 
2.1%
신 1432
 
2.0%
차 1342
 
1.8%
이 1331
 
1.8%
Other values (422) 54913
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66859
91.4%
Decimal Number 3741
 
5.1%
Uppercase Letter 895
 
1.2%
Space Separator 819
 
1.1%
Lowercase Letter 334
 
0.5%
Close Punctuation 134
 
0.2%
Open Punctuation 134
 
0.2%
Dash Punctuation 132
 
0.2%
Other Punctuation 132
 
0.2%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2573
 
3.8%
파 2438
 
3.6%
트 2273
 
3.4%
지 2012
 
3.0%
대 1720
 
2.6%
단 1583
 
2.4%
동 1566
 
2.3%
신 1432
 
2.1%
차 1342
 
2.0%
이 1331
 
2.0%
Other values (377) 48589
72.7%
Uppercase Letter
ValueCountFrequency (%)
S 163
18.2%
K 115
12.8%
C 103
11.5%
M 78
8.7%
D 78
8.7%
L 66
7.4%
H 64
 
7.2%
I 44
 
4.9%
E 43
 
4.8%
A 35
 
3.9%
Other values (7) 106
11.8%
Lowercase Letter
ValueCountFrequency (%)
e 186
55.7%
l 34
 
10.2%
i 30
 
9.0%
v 22
 
6.6%
s 18
 
5.4%
k 13
 
3.9%
w 9
 
2.7%
h 8
 
2.4%
c 6
 
1.8%
a 4
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 1100
29.4%
2 1084
29.0%
3 447
11.9%
4 287
 
7.7%
5 209
 
5.6%
6 178
 
4.8%
7 137
 
3.7%
8 112
 
3.0%
9 109
 
2.9%
0 78
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 117
88.6%
. 15
 
11.4%
Space Separator
ValueCountFrequency (%)
819
100.0%
Close Punctuation
ValueCountFrequency (%)
) 134
100.0%
Open Punctuation
ValueCountFrequency (%)
( 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66859
91.4%
Common 5095
 
7.0%
Latin 1229
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2573
 
3.8%
파 2438
 
3.6%
트 2273
 
3.4%
지 2012
 
3.0%
대 1720
 
2.6%
단 1583
 
2.4%
동 1566
 
2.3%
신 1432
 
2.1%
차 1342
 
2.0%
이 1331
 
2.0%
Other values (377) 48589
72.7%
Latin
ValueCountFrequency (%)
e 186
15.1%
S 163
13.3%
K 115
 
9.4%
C 103
 
8.4%
M 78
 
6.3%
D 78
 
6.3%
L 66
 
5.4%
H 64
 
5.2%
I 44
 
3.6%
E 43
 
3.5%
Other values (18) 289
23.5%
Common
ValueCountFrequency (%)
1 1100
21.6%
2 1084
21.3%
819
16.1%
3 447
8.8%
4 287
 
5.6%
5 209
 
4.1%
6 178
 
3.5%
7 137
 
2.7%
) 134
 
2.6%
( 134
 
2.6%
Other values (7) 566
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66859
91.4%
ASCII 6324
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2573
 
3.8%
파 2438
 
3.6%
트 2273
 
3.4%
지 2012
 
3.0%
대 1720
 
2.6%
단 1583
 
2.4%
동 1566
 
2.3%
신 1432
 
2.1%
차 1342
 
2.0%
이 1331
 
2.0%
Other values (377) 48589
72.7%
ASCII
ValueCountFrequency (%)
1 1100
17.4%
2 1084
17.1%
819
13.0%
3 447
 
7.1%
4 287
 
4.5%
5 209
 
3.3%
e 186
 
2.9%
6 178
 
2.8%
S 163
 
2.6%
7 137
 
2.2%
Other values (35) 1714
27.1%

아파트코드
Text

Distinct2135
Distinct (%)21.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:33:25.821909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length9
Mean length9
Min length9

Characters and Unicode

Total characters90000
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique203 ?
Unique (%)2.0%

Sample

1st rowA12012203
2nd rowA13788203
3rd rowA12010104
4th rowA13550701
5th rowA13307202
ValueCountFrequency (%)
a13527203 23
 
0.2%
a13201209 23
 
0.2%
a13805002 21
 
0.2%
a13822003 20
 
0.2%
a13003007 19
 
0.2%
a13984004 18
 
0.2%
a13377902 18
 
0.2%
a13583507 17
 
0.2%
a15701007 16
 
0.2%
a12175203 16
 
0.2%
Other values (2125) 9809
98.1%
2024-05-11T02:33:27.406623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18734
20.8%
1 17215
19.1%
A 9990
11.1%
3 8807
9.8%
2 8236
9.2%
5 6409
 
7.1%
8 5560
 
6.2%
7 4947
 
5.5%
4 3794
 
4.2%
6 3292
 
3.7%
Other values (2) 3016
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 80000
88.9%
Uppercase Letter 10000
 
11.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18734
23.4%
1 17215
21.5%
3 8807
11.0%
2 8236
10.3%
5 6409
 
8.0%
8 5560
 
7.0%
7 4947
 
6.2%
4 3794
 
4.7%
6 3292
 
4.1%
9 3006
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 9990
99.9%
B 10
 
0.1%

Most occurring scripts

ValueCountFrequency (%)
Common 80000
88.9%
Latin 10000
 
11.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 18734
23.4%
1 17215
21.5%
3 8807
11.0%
2 8236
10.3%
5 6409
 
8.0%
8 5560
 
7.0%
7 4947
 
6.2%
4 3794
 
4.7%
6 3292
 
4.1%
9 3006
 
3.8%
Latin
ValueCountFrequency (%)
A 9990
99.9%
B 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18734
20.8%
1 17215
19.1%
A 9990
11.1%
3 8807
9.8%
2 8236
9.2%
5 6409
 
7.1%
8 5560
 
6.2%
7 4947
 
5.5%
4 3794
 
4.2%
6 3292
 
3.7%
Other values (2) 3016
 
3.4%

비용명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
연체료수익
3697 
승강기수익
1106 
잡수익
1068 
주차장수익
939 
광고료수익
794 
Other values (10)
2396 

Length

Max length9
Median length5
Mean length4.98
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row기타운영수익
2nd row연체료수익
3rd row알뜰시장수익
4th row검침수익
5th row잡수익

Common Values

ValueCountFrequency (%)
연체료수익 3697
37.0%
승강기수익 1106
 
11.1%
잡수익 1068
 
10.7%
주차장수익 939
 
9.4%
광고료수익 794
 
7.9%
고용안정사업수익 534
 
5.3%
기타운영수익 427
 
4.3%
검침수익 326
 
3.3%
임대료수익 257
 
2.6%
부과차익 229
 
2.3%
Other values (5) 623
 
6.2%

Length

2024-05-11T02:33:28.095657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연체료수익 3697
37.0%
승강기수익 1106
 
11.1%
잡수익 1068
 
10.7%
주차장수익 939
 
9.4%
광고료수익 794
 
7.9%
고용안정사업수익 534
 
5.3%
기타운영수익 427
 
4.3%
검침수익 326
 
3.3%
임대료수익 257
 
2.6%
부과차익 229
 
2.3%
Other values (5) 623
 
6.2%

년월일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20210118
Minimum20210101
Maximum20210131
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:33:28.761652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20210101
5-th percentile20210104
Q120210111
median20210120
Q320210126
95-th percentile20210131
Maximum20210131
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation9.1684769
Coefficient of variation (CV)4.5365775 × 10-7
Kurtosis-1.2139415
Mean20210118
Median Absolute Deviation (MAD)8
Skewness-0.31707741
Sum2.0210118 × 1011
Variance84.060969
MonotonicityNot monotonic
2024-05-11T02:33:29.275419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20210125 793
 
7.9%
20210131 765
 
7.6%
20210129 598
 
6.0%
20210118 558
 
5.6%
20210104 500
 
5.0%
20210126 495
 
5.0%
20210127 457
 
4.6%
20210122 441
 
4.4%
20210111 440
 
4.4%
20210120 439
 
4.4%
Other values (21) 4514
45.1%
ValueCountFrequency (%)
20210101 204
2.0%
20210102 115
 
1.1%
20210103 99
 
1.0%
20210104 500
5.0%
20210105 424
4.2%
20210106 316
3.2%
20210107 238
2.4%
20210108 312
3.1%
20210109 94
 
0.9%
20210110 73
 
0.7%
ValueCountFrequency (%)
20210131 765
7.6%
20210130 238
 
2.4%
20210129 598
6.0%
20210128 366
3.7%
20210127 457
4.6%
20210126 495
5.0%
20210125 793
7.9%
20210124 128
 
1.3%
20210123 124
 
1.2%
20210122 441
4.4%

금액
Real number (ℝ)

SKEWED 

Distinct3081
Distinct (%)30.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean263332.37
Minimum-2500000
Maximum1.8144 × 108
Zeros10
Zeros (%)0.1%
Negative36
Negative (%)0.4%
Memory size166.0 KiB
2024-05-11T02:33:29.755125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2500000
5-th percentile90
Q11950
median30000
Q3100000
95-th percentile930156.9
Maximum1.8144 × 108
Range1.8394 × 108
Interquartile range (IQR)98050

Descriptive statistics

Standard deviation2721462.9
Coefficient of variation (CV)10.334707
Kurtosis2996.9273
Mean263332.37
Median Absolute Deviation (MAD)29480
Skewness50.869998
Sum2.6333237 × 109
Variance7.4063602 × 1012
MonotonicityNot monotonic
2024-05-11T02:33:30.322578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 557
 
5.6%
100000 522
 
5.2%
30000 458
 
4.6%
150000 190
 
1.9%
70000 167
 
1.7%
200000 163
 
1.6%
60000 144
 
1.4%
40000 134
 
1.3%
80000 128
 
1.3%
20000 91
 
0.9%
Other values (3071) 7446
74.5%
ValueCountFrequency (%)
-2500000 1
 
< 0.1%
-1600000 1
 
< 0.1%
-800000 1
 
< 0.1%
-700000 1
 
< 0.1%
-500000 1
 
< 0.1%
-320000 1
 
< 0.1%
-200000 3
< 0.1%
-178500 1
 
< 0.1%
-150000 1
 
< 0.1%
-136364 1
 
< 0.1%
ValueCountFrequency (%)
181440000 1
< 0.1%
147262180 1
< 0.1%
98978930 1
< 0.1%
45000000 1
< 0.1%
21134020 1
< 0.1%
20250000 1
< 0.1%
19982990 1
< 0.1%
19570020 1
< 0.1%
13987870 1
< 0.1%
13560000 1
< 0.1%

내용
Text

Distinct5610
Distinct (%)56.1%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T02:33:31.224484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length79
Median length70
Mean length14.167
Min length2

Characters and Unicode

Total characters141585
Distinct characters712
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5365 ?
Unique (%)53.7%

Sample

1st row현관마스터키사용료(상맛)
2nd row관리비 연체료 수납
3rd row알뜰시장-닭강정
4th row한전 검침수익-한전강남지사
5th row12월부과차익
ValueCountFrequency (%)
관리비 3862
 
14.5%
연체료 3708
 
14.0%
수납 3707
 
14.0%
12월분 346
 
1.3%
1월분 339
 
1.3%
승강기 290
 
1.1%
246
 
0.9%
승강기사용료 243
 
0.9%
1월 232
 
0.9%
입금 230
 
0.9%
Other values (7051) 13348
50.3%
2024-05-11T02:33:33.048700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16646
 
11.8%
1 6699
 
4.7%
료 5673
 
4.0%
리 5140
 
3.6%
수 5121
 
3.6%
0 5118
 
3.6%
비 4629
 
3.3%
2 4369
 
3.1%
관 4131
 
2.9%
체 3930
 
2.8%
Other values (702) 80129
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90350
63.8%
Decimal Number 22415
 
15.8%
Space Separator 16646
 
11.8%
Close Punctuation 3004
 
2.1%
Open Punctuation 3001
 
2.1%
Other Punctuation 2814
 
2.0%
Dash Punctuation 2191
 
1.5%
Uppercase Letter 617
 
0.4%
Math Symbol 336
 
0.2%
Lowercase Letter 140
 
0.1%
Other values (2) 71
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 5673
 
6.3%
리 5140
 
5.7%
수 5121
 
5.7%
비 4629
 
5.1%
관 4131
 
4.6%
체 3930
 
4.3%
납 3859
 
4.3%
연 3772
 
4.2%
월 1949
 
2.2%
기 1730
 
1.9%
Other values (613) 50416
55.8%
Uppercase Letter
ValueCountFrequency (%)
N 64
 
10.4%
L 50
 
8.1%
A 46
 
7.5%
K 45
 
7.3%
T 45
 
7.3%
D 43
 
7.0%
G 36
 
5.8%
M 33
 
5.3%
E 29
 
4.7%
O 29
 
4.7%
Other values (16) 197
31.9%
Lowercase Letter
ValueCountFrequency (%)
o 33
23.6%
e 16
11.4%
x 13
 
9.3%
s 10
 
7.1%
n 10
 
7.1%
t 9
 
6.4%
l 9
 
6.4%
k 7
 
5.0%
a 6
 
4.3%
i 5
 
3.6%
Other values (13) 22
15.7%
Other Punctuation
ValueCountFrequency (%)
. 838
29.8%
/ 758
26.9%
, 697
24.8%
: 209
 
7.4%
* 154
 
5.5%
? 83
 
2.9%
@ 40
 
1.4%
% 13
 
0.5%
' 12
 
0.4%
# 5
 
0.2%
Other values (3) 5
 
0.2%
Decimal Number
ValueCountFrequency (%)
1 6699
29.9%
0 5118
22.8%
2 4369
19.5%
3 1477
 
6.6%
4 1139
 
5.1%
5 961
 
4.3%
6 770
 
3.4%
7 656
 
2.9%
8 647
 
2.9%
9 579
 
2.6%
Math Symbol
ValueCountFrequency (%)
~ 275
81.8%
+ 17
 
5.1%
> 14
 
4.2%
× 9
 
2.7%
< 9
 
2.7%
→ 4
 
1.2%
⇒ 3
 
0.9%
= 3
 
0.9%
÷ 2
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 2937
97.8%
] 67
 
2.2%
Open Punctuation
ValueCountFrequency (%)
( 2932
97.7%
[ 69
 
2.3%
Space Separator
ValueCountFrequency (%)
16646
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2191
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 69
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90346
63.8%
Common 50478
35.7%
Latin 757
 
0.5%
Han 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 5673
 
6.3%
리 5140
 
5.7%
수 5121
 
5.7%
비 4629
 
5.1%
관 4131
 
4.6%
체 3930
 
4.3%
납 3859
 
4.3%
연 3772
 
4.2%
월 1949
 
2.2%
기 1730
 
1.9%
Other values (610) 50412
55.8%
Latin
ValueCountFrequency (%)
N 64
 
8.5%
L 50
 
6.6%
A 46
 
6.1%
K 45
 
5.9%
T 45
 
5.9%
D 43
 
5.7%
G 36
 
4.8%
M 33
 
4.4%
o 33
 
4.4%
E 29
 
3.8%
Other values (39) 333
44.0%
Common
ValueCountFrequency (%)
16646
33.0%
1 6699
13.3%
0 5118
 
10.1%
2 4369
 
8.7%
) 2937
 
5.8%
( 2932
 
5.8%
- 2191
 
4.3%
3 1477
 
2.9%
4 1139
 
2.3%
5 961
 
1.9%
Other values (30) 6009
 
11.9%
Han
ValueCountFrequency (%)
中 2
50.0%
不 1
25.0%
分 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90346
63.8%
ASCII 51216
36.2%
None 12
 
< 0.1%
Arrows 7
 
< 0.1%
CJK 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16646
32.5%
1 6699
13.1%
0 5118
 
10.0%
2 4369
 
8.5%
) 2937
 
5.7%
( 2932
 
5.7%
- 2191
 
4.3%
3 1477
 
2.9%
4 1139
 
2.2%
5 961
 
1.9%
Other values (74) 6747
13.2%
Hangul
ValueCountFrequency (%)
료 5673
 
6.3%
리 5140
 
5.7%
수 5121
 
5.7%
비 4629
 
5.1%
관 4131
 
4.6%
체 3930
 
4.3%
납 3859
 
4.3%
연 3772
 
4.2%
월 1949
 
2.2%
기 1730
 
1.9%
Other values (610) 50412
55.8%
None
ValueCountFrequency (%)
× 9
75.0%
÷ 2
 
16.7%
· 1
 
8.3%
Arrows
ValueCountFrequency (%)
→ 4
57.1%
⇒ 3
42.9%
CJK
ValueCountFrequency (%)
中 2
66.7%
分 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
100.0%

Interactions

2024-05-11T02:33:22.004391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:21.379864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:22.301949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:21.688365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:33:33.329160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명년월일금액
비용명1.0000.3960.223
년월일0.3961.0000.024
금액0.2230.0241.000
2024-05-11T02:33:33.582164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월일금액비용명
년월일1.0000.0560.160
금액0.0561.0000.106
비용명0.1600.1061.000

Missing values

2024-05-11T02:33:22.786022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:33:23.170115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

아파트명아파트코드비용명년월일금액내용
8540남가좌현대아파트A12012203기타운영수익2021012010000현관마스터키사용료(상맛)
30560서초유원A13788203연체료수익20210102480관리비 연체료 수납
8347홍은벽산A12010104알뜰시장수익2021012050000알뜰시장-닭강정
24713삼성동중앙하이츠빌리지A13550701검침수익20210125112650한전 검침수익-한전강남지사
18993신동아A13307202잡수익20210122588812월부과차익
38479하계현대우성A13987303승강기수익20210125136364102-1302-난방배관,화장실,샷시,싱크대,도배-야베스인테리어
4799위례중앙푸르지오아파트A10027195잡수익2021010710000상가 게이트카드 판매(1상가152호-광장부동산)
22465강동현대홈타운A13485301승강기수익202101032000004동 2402호 승강기 사용료(전출):1/12
42304여의도수정A15001009잡수익2021011290909공사수수료(3-1207)
7443경희궁의아침3단지A11007001검침수익202101056493001월검침수당
아파트명아파트코드비용명년월일금액내용
6785청구e편한세상(분양)A10045002주차장수익20210111100000(주)이도인더스 외부주차 수입
55590신트리3단지A15807311승강기수익20210125100000302-803호 공사승강기사용료
52002우장산아이파크이편한세상A15701003연체료수익20210125690관리비 연체료 수납
15651면목성원A13184502재활용품수익2021010433600재활용품 판매
29601신동아아파트A13775101연체료수익2021012620660관리비 연체료 수납
23525강남신동아파밀리에2단지A13519002연체료수익2021012857000관리비 연체료 수납
8559남가좌현대아파트A12012203부과차익20210131128851월 관리비 부과차익
18946서울숲더샵A13307003승강기수익20210125100000101-1002호 전출(1/29)
1862래미안장위포레카운티아파트A10025461연체료수익20210124600관리비 연체료 수납
5343래미안 신반포팰리스A10027439승강기수익20210119142000승강기사용대(106-2303전출)21.03.02