Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells8
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

Reproduction

Analysis started2024-05-11 02:35:24.644169
Analysis finished2024-05-11 02:35:29.121643
Duration4.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2153
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:35:29.562741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length7.2679
Min length2

Characters and Unicode

Total characters72679
Distinct characters430
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique186 ?
Unique (%)1.9%

Sample

1st row하계시영5단지
2nd row쌍문한양2,3,4차
3rd row관악국제산장
4th row반포푸르지오
5th row구로두산
ValueCountFrequency (%)
아파트 160
 
1.5%
래미안 39
 
0.4%
힐스테이트 22
 
0.2%
고덕 21
 
0.2%
신내 20
 
0.2%
개봉동현대아파트 19
 
0.2%
중계그린 19
 
0.2%
잠실엘스아파트 19
 
0.2%
마포펜트라우스 18
 
0.2%
e편한세상 18
 
0.2%
Other values (2216) 10323
96.7%
2024-05-11T02:35:30.810335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2443
 
3.4%
파 2413
 
3.3%
트 2201
 
3.0%
지 2026
 
2.8%
대 1734
 
2.4%
동 1657
 
2.3%
단 1578
 
2.2%
신 1441
 
2.0%
차 1384
 
1.9%
이 1320
 
1.8%
Other values (420) 54482
75.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66655
91.7%
Decimal Number 3753
 
5.2%
Space Separator 755
 
1.0%
Uppercase Letter 680
 
0.9%
Lowercase Letter 280
 
0.4%
Open Punctuation 144
 
0.2%
Close Punctuation 144
 
0.2%
Dash Punctuation 136
 
0.2%
Other Punctuation 121
 
0.2%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2443
 
3.7%
파 2413
 
3.6%
트 2201
 
3.3%
지 2026
 
3.0%
대 1734
 
2.6%
동 1657
 
2.5%
단 1578
 
2.4%
신 1441
 
2.2%
차 1384
 
2.1%
이 1320
 
2.0%
Other values (375) 48458
72.7%
Uppercase Letter
ValueCountFrequency (%)
S 123
18.1%
K 101
14.9%
C 77
11.3%
M 53
7.8%
D 53
7.8%
L 40
 
5.9%
H 38
 
5.6%
I 36
 
5.3%
E 33
 
4.9%
A 27
 
4.0%
Other values (6) 99
14.6%
Lowercase Letter
ValueCountFrequency (%)
e 197
70.4%
i 18
 
6.4%
l 12
 
4.3%
k 11
 
3.9%
s 10
 
3.6%
a 6
 
2.1%
v 6
 
2.1%
w 6
 
2.1%
g 6
 
2.1%
c 6
 
2.1%
Decimal Number
ValueCountFrequency (%)
1 1100
29.3%
2 1028
27.4%
3 504
13.4%
4 287
 
7.6%
5 234
 
6.2%
6 182
 
4.8%
7 146
 
3.9%
9 109
 
2.9%
8 88
 
2.3%
0 75
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 100
82.6%
. 21
 
17.4%
Space Separator
ValueCountFrequency (%)
755
100.0%
Open Punctuation
ValueCountFrequency (%)
( 144
100.0%
Close Punctuation
ValueCountFrequency (%)
) 144
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 136
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66655
91.7%
Common 5057
 
7.0%
Latin 967
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2443
 
3.7%
파 2413
 
3.6%
트 2201
 
3.3%
지 2026
 
3.0%
대 1734
 
2.6%
동 1657
 
2.5%
단 1578
 
2.4%
신 1441
 
2.2%
차 1384
 
2.1%
이 1320
 
2.0%
Other values (375) 48458
72.7%
Latin
ValueCountFrequency (%)
e 197
20.4%
S 123
12.7%
K 101
10.4%
C 77
 
8.0%
M 53
 
5.5%
D 53
 
5.5%
L 40
 
4.1%
H 38
 
3.9%
I 36
 
3.7%
E 33
 
3.4%
Other values (18) 216
22.3%
Common
ValueCountFrequency (%)
1 1100
21.8%
2 1028
20.3%
755
14.9%
3 504
10.0%
4 287
 
5.7%
5 234
 
4.6%
6 182
 
3.6%
7 146
 
2.9%
( 144
 
2.8%
) 144
 
2.8%
Other values (7) 533
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66655
91.7%
ASCII 6017
 
8.3%
Number Forms 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2443
 
3.7%
파 2413
 
3.6%
트 2201
 
3.3%
지 2026
 
3.0%
대 1734
 
2.6%
동 1657
 
2.5%
단 1578
 
2.4%
신 1441
 
2.2%
차 1384
 
2.1%
이 1320
 
2.0%
Other values (375) 48458
72.7%
ASCII
ValueCountFrequency (%)
1 1100
18.3%
2 1028
17.1%
755
12.5%
3 504
 
8.4%
4 287
 
4.8%
5 234
 
3.9%
e 197
 
3.3%
6 182
 
3.0%
7 146
 
2.4%
( 144
 
2.4%
Other values (34) 1440
23.9%
Number Forms
ValueCountFrequency (%)
Ⅰ 7
100.0%

아파트코드
Text

Distinct2159
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:35:31.809483image/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

Unique187 ?
Unique (%)1.9%

Sample

1st rowA13987302
2nd rowA13286110
3rd rowA15176701
4th rowA13776508
5th rowA15205405
ValueCountFrequency (%)
a13822004 19
 
0.2%
a15209207 19
 
0.2%
a13986306 19
 
0.2%
a12179004 18
 
0.2%
a15805115 17
 
0.2%
a10078901 17
 
0.2%
a13920706 16
 
0.2%
a13606004 16
 
0.2%
a15807606 15
 
0.1%
a14272314 15
 
0.1%
Other values (2149) 9829
98.3%
2024-05-11T02:35:33.174894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18509
20.6%
1 17307
19.2%
A 9987
11.1%
3 8835
9.8%
2 8132
9.0%
5 6382
 
7.1%
8 5721
 
6.4%
7 4884
 
5.4%
4 3863
 
4.3%
6 3359
 
3.7%
Other values (2) 3021
 
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 18509
23.1%
1 17307
21.6%
3 8835
11.0%
2 8132
10.2%
5 6382
 
8.0%
8 5721
 
7.2%
7 4884
 
6.1%
4 3863
 
4.8%
6 3359
 
4.2%
9 3008
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 9987
99.9%
B 13
 
0.1%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 18509
23.1%
1 17307
21.6%
3 8835
11.0%
2 8132
10.2%
5 6382
 
8.0%
8 5721
 
7.2%
7 4884
 
6.1%
4 3863
 
4.8%
6 3359
 
4.2%
9 3008
 
3.8%
Latin
ValueCountFrequency (%)
A 9987
99.9%
B 13
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18509
20.6%
1 17307
19.2%
A 9987
11.1%
3 8835
9.8%
2 8132
9.0%
5 6382
 
7.1%
8 5721
 
6.4%
7 4884
 
5.4%
4 3863
 
4.3%
6 3359
 
3.7%
Other values (2) 3021
 
3.4%

비용명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
연체료수익
3325 
승강기수익
953 
이자수익
946 
잡수익
940 
광고료수익
842 
Other values (10)
2994 

Length

Max length9
Median length5
Mean length4.9511
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row고용안정사업수익
2nd row승강기수익
3rd row연체료수익
4th row승강기수익
5th row승강기수익

Common Values

ValueCountFrequency (%)
연체료수익 3325
33.2%
승강기수익 953
 
9.5%
이자수익 946
 
9.5%
잡수익 940
 
9.4%
광고료수익 842
 
8.4%
주차장수익 764
 
7.6%
기타운영수익 600
 
6.0%
고용안정사업수익 469
 
4.7%
검침수익 273
 
2.7%
임대료수익 210
 
2.1%
Other values (5) 678
 
6.8%

Length

2024-05-11T02:35:33.687913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연체료수익 3325
33.2%
승강기수익 953
 
9.5%
이자수익 946
 
9.5%
잡수익 940
 
9.4%
광고료수익 842
 
8.4%
주차장수익 764
 
7.6%
기타운영수익 600
 
6.0%
고용안정사업수익 469
 
4.7%
검침수익 273
 
2.7%
임대료수익 210
 
2.1%
Other values (5) 678
 
6.8%

년월일
Real number (ℝ)

Distinct30
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20200617
Minimum20200601
Maximum20200630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:35:34.178730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20200601
5-th percentile20200601
Q120200609
median20200617
Q320200625
95-th percentile20200630
Maximum20200630
Range29
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.379044
Coefficient of variation (CV)4.6429493 × 10-7
Kurtosis-1.2045068
Mean20200617
Median Absolute Deviation (MAD)8
Skewness-0.18816325
Sum2.0200617 × 1011
Variance87.966467
MonotonicityNot monotonic
2024-05-11T02:35:34.640224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
20200630 1037
 
10.4%
20200601 597
 
6.0%
20200629 544
 
5.4%
20200615 539
 
5.4%
20200625 460
 
4.6%
20200610 439
 
4.4%
20200620 414
 
4.1%
20200626 370
 
3.7%
20200619 352
 
3.5%
20200622 350
 
3.5%
Other values (20) 4898
49.0%
ValueCountFrequency (%)
20200601 597
6.0%
20200602 319
3.2%
20200603 300
3.0%
20200604 282
2.8%
20200605 312
3.1%
20200606 66
 
0.7%
20200607 51
 
0.5%
20200608 326
3.3%
20200609 274
2.7%
20200610 439
4.4%
ValueCountFrequency (%)
20200630 1037
10.4%
20200629 544
5.4%
20200628 262
 
2.6%
20200627 140
 
1.4%
20200626 370
 
3.7%
20200625 460
4.6%
20200624 317
 
3.2%
20200623 333
 
3.3%
20200622 350
 
3.5%
20200621 102
 
1.0%

금액
Real number (ℝ)

Distinct3980
Distinct (%)39.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean262488.41
Minimum-7800000
Maximum52879528
Zeros9
Zeros (%)0.1%
Negative44
Negative (%)0.4%
Memory size166.0 KiB
2024-05-11T02:35:35.207169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-7800000
5-th percentile200
Q13196.75
median30000
Q3100000
95-th percentile1090909
Maximum52879528
Range60679528
Interquartile range (IQR)96803.25

Descriptive statistics

Standard deviation1344009.2
Coefficient of variation (CV)5.1202612
Kurtosis458.56716
Mean262488.41
Median Absolute Deviation (MAD)28730
Skewness17.141214
Sum2.6248841 × 109
Variance1.8063608 × 1012
MonotonicityNot monotonic
2024-05-11T02:35:35.831465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50000 539
 
5.4%
30000 488
 
4.9%
100000 430
 
4.3%
60000 144
 
1.4%
70000 127
 
1.3%
40000 121
 
1.2%
150000 120
 
1.2%
20000 103
 
1.0%
80000 100
 
1.0%
200000 97
 
1.0%
Other values (3970) 7731
77.3%
ValueCountFrequency (%)
-7800000 1
< 0.1%
-6809000 1
< 0.1%
-3685170 1
< 0.1%
-1881000 1
< 0.1%
-835760 1
< 0.1%
-807498 1
< 0.1%
-780000 1
< 0.1%
-618550 1
< 0.1%
-433860 1
< 0.1%
-345000 1
< 0.1%
ValueCountFrequency (%)
52879528 1
< 0.1%
42029040 1
< 0.1%
37254000 1
< 0.1%
24450000 1
< 0.1%
24000000 1
< 0.1%
21967000 1
< 0.1%
20160310 1
< 0.1%
20000000 2
< 0.1%
19570000 1
< 0.1%
18717607 1
< 0.1%

내용
Text

Distinct5939
Distinct (%)59.4%
Missing8
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T02:35:36.738310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length74
Median length63
Mean length13.959367
Min length2

Characters and Unicode

Total characters139482
Distinct characters699
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5699 ?
Unique (%)57.0%

Sample

1st row경비원 일자리안정지원금 입금
2nd row승강기사용료(8-801공사)
3rd row관리비 연체료 수납
4th row103동1001호 화장실공사
5th row108동704호 전출-승강기
ValueCountFrequency (%)
관리비 3485
 
13.6%
수납 3329
 
13.0%
연체료 3329
 
13.0%
5월분 326
 
1.3%
6월분 304
 
1.2%
승강기 277
 
1.1%
241
 
0.9%
입금 222
 
0.9%
승강기사용료 210
 
0.8%
6월 198
 
0.8%
Other values (7348) 13706
53.5%
2024-05-11T02:35:38.322797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15775
 
11.3%
료 5134
 
3.7%
0 4951
 
3.5%
리 4910
 
3.5%
수 4866
 
3.5%
비 4481
 
3.2%
1 3978
 
2.9%
관 3894
 
2.8%
체 3539
 
2.5%
연 3394
 
2.4%
Other values (689) 84560
60.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 90796
65.1%
Decimal Number 20258
 
14.5%
Space Separator 15775
 
11.3%
Close Punctuation 3280
 
2.4%
Open Punctuation 3274
 
2.3%
Other Punctuation 2563
 
1.8%
Dash Punctuation 2381
 
1.7%
Uppercase Letter 662
 
0.5%
Math Symbol 314
 
0.2%
Lowercase Letter 127
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 5134
 
5.7%
리 4910
 
5.4%
수 4866
 
5.4%
비 4481
 
4.9%
관 3894
 
4.3%
체 3539
 
3.9%
연 3394
 
3.7%
납 3382
 
3.7%
자 2312
 
2.5%
금 2178
 
2.4%
Other values (605) 52706
58.0%
Uppercase Letter
ValueCountFrequency (%)
N 69
 
10.4%
C 56
 
8.5%
K 51
 
7.7%
T 49
 
7.4%
O 46
 
6.9%
S 45
 
6.8%
L 43
 
6.5%
A 36
 
5.4%
E 35
 
5.3%
B 34
 
5.1%
Other values (15) 198
29.9%
Lowercase Letter
ValueCountFrequency (%)
o 42
33.1%
n 20
15.7%
s 13
 
10.2%
x 11
 
8.7%
e 7
 
5.5%
k 7
 
5.5%
c 5
 
3.9%
l 5
 
3.9%
i 3
 
2.4%
t 2
 
1.6%
Other values (9) 12
 
9.4%
Other Punctuation
ValueCountFrequency (%)
/ 755
29.5%
, 661
25.8%
. 633
24.7%
: 222
 
8.7%
* 170
 
6.6%
? 40
 
1.6%
@ 24
 
0.9%
% 19
 
0.7%
# 13
 
0.5%
& 11
 
0.4%
Other values (5) 15
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 4951
24.4%
1 3978
19.6%
2 2663
13.1%
6 1978
 
9.8%
5 1825
 
9.0%
3 1435
 
7.1%
4 1260
 
6.2%
7 853
 
4.2%
9 684
 
3.4%
8 631
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 241
76.8%
+ 35
 
11.1%
> 11
 
3.5%
× 10
 
3.2%
< 8
 
2.5%
= 6
 
1.9%
→ 3
 
1.0%
Close Punctuation
ValueCountFrequency (%)
) 3215
98.0%
] 65
 
2.0%
Open Punctuation
ValueCountFrequency (%)
( 3209
98.0%
[ 65
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 2379
99.9%
－ 2
 
0.1%
Space Separator
ValueCountFrequency (%)
15775
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 90791
65.1%
Common 47897
34.3%
Latin 789
 
0.6%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 5134
 
5.7%
리 4910
 
5.4%
수 4866
 
5.4%
비 4481
 
4.9%
관 3894
 
4.3%
체 3539
 
3.9%
연 3394
 
3.7%
납 3382
 
3.7%
자 2312
 
2.5%
금 2178
 
2.4%
Other values (600) 52701
58.0%
Latin
ValueCountFrequency (%)
N 69
 
8.7%
C 56
 
7.1%
K 51
 
6.5%
T 49
 
6.2%
O 46
 
5.8%
S 45
 
5.7%
L 43
 
5.4%
o 42
 
5.3%
A 36
 
4.6%
E 35
 
4.4%
Other values (34) 317
40.2%
Common
ValueCountFrequency (%)
15775
32.9%
0 4951
 
10.3%
1 3978
 
8.3%
) 3215
 
6.7%
( 3209
 
6.7%
2 2663
 
5.6%
- 2379
 
5.0%
6 1978
 
4.1%
5 1825
 
3.8%
3 1435
 
3.0%
Other values (30) 6489
13.5%
Han
ValueCountFrequency (%)
月 1
20.0%
分 1
20.0%
樂 1
20.0%
名 1
20.0%
內 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 90791
65.1%
ASCII 48668
34.9%
None 15
 
< 0.1%
CJK 4
 
< 0.1%
Arrows 3
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15775
32.4%
0 4951
 
10.2%
1 3978
 
8.2%
) 3215
 
6.6%
( 3209
 
6.6%
2 2663
 
5.5%
- 2379
 
4.9%
6 1978
 
4.1%
5 1825
 
3.7%
3 1435
 
2.9%
Other values (69) 7260
14.9%
Hangul
ValueCountFrequency (%)
료 5134
 
5.7%
리 4910
 
5.4%
수 4866
 
5.4%
비 4481
 
4.9%
관 3894
 
4.3%
체 3539
 
3.9%
연 3394
 
3.7%
납 3382
 
3.7%
자 2312
 
2.5%
금 2178
 
2.4%
Other values (600) 52701
58.0%
None
ValueCountFrequency (%)
× 10
66.7%
－ 2
 
13.3%
？ 2
 
13.3%
· 1
 
6.7%
Arrows
ValueCountFrequency (%)
→ 3
100.0%
CJK
ValueCountFrequency (%)
月 1
25.0%
分 1
25.0%
名 1
25.0%
內 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%

Interactions

2024-05-11T02:35:27.531494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:35:26.766027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:35:27.911149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:35:27.173783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:35:38.614217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명년월일금액
비용명1.0000.5100.225
년월일0.5101.0000.059
금액0.2250.0591.000
2024-05-11T02:35:38.860733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월일금액비용명
년월일1.0000.0260.217
금액0.0261.0000.094
비용명0.2170.0941.000

Missing values

2024-05-11T02:35:28.416585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:35:28.904946image/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
44482하계시영5단지A13987302고용안정사업수익20200618130000경비원 일자리안정지원금 입금
20968쌍문한양2,3,4차A13286110승강기수익2020060190909승강기사용료(8-801공사)
53318관악국제산장A15176701연체료수익202006092310관리비 연체료 수납
34349반포푸르지오A13776508승강기수익2020062950000103동1001호 화장실공사
54197구로두산A15205405승강기수익20200623120000108동704호 전출-승강기
66994은평뉴타운상림마을7단지A41279903주차장수익20200630578000주차충당금 부과 (총78세대)
42965상계주공1단지A13983105광고료수익202006293300006월 광고수입
48236광장일신워커힐A14380202이자수익2020061313333예금이자
17207망우금호어울림A13123102연체료수익202006133690관리비 연체료 수납
27040압구정신현대A13511004주차장수익2020061912000RF카드대금(NO.047 113동501호 13가3659 미반납 삭제)
아파트명아파트코드비용명년월일금액내용
57091시흥성지A15303103연체료수익202006011980관리비 연체료 수납
6460래미안밤섬리베뉴 ⅠA10028177기타운영수익20200608100000커뮤니티이용료(6.7)
38778가락래미안파크팰리스A13881005연체료수익202006306060관리비 연체료 수납
59566신동아리버파크제2관리사무소A15676701이자수익2020061476872020년 기업은행 결산이자
44358중계성원1차A13986606승강기수익20200617100000승강기사용료(101-1107호:공사)
57623독산한신A15383307연체료수익2020062423470관리비 연체료 수납
27453래미안강남힐즈A13520003승강기수익2020061980000619동 504호 승강기 사용료
42495상계한신3차A13982002검침수익20200603149640검침보조금
60184대방대림A15681110검침수익202006057000406월 전기검침수당
14798제기한신A13006101승강기수익20200616150000108동 1803호 인테리어