Overview

Dataset statistics

Number of variables6
Number of observations10000
Missing cells10
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 = 63.88843898)Skewed

Reproduction

Analysis started2024-05-11 02:33:38.170851
Analysis finished2024-05-11 02:33:43.697450
Duration5.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2149
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:33:44.210141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.2461
Min length2

Characters and Unicode

Total characters72461
Distinct characters434
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique197 ?
Unique (%)2.0%

Sample

1st row답십리두산위브
2nd row봉천두산1,2단지
3rd row잠실우성1,2,3차
4th row영등포두산위브
5th row대치쌍용2차
ValueCountFrequency (%)
아파트 169
 
1.6%
래미안 37
 
0.3%
아이파크 26
 
0.2%
홍제한양 24
 
0.2%
고덕 23
 
0.2%
힐스테이트 21
 
0.2%
sk뷰 19
 
0.2%
래미안밤섬리베뉴 19
 
0.2%
은마 18
 
0.2%
sk북한산시티임대 18
 
0.2%
Other values (2213) 10294
96.5%
2024-05-11T02:33:45.369734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2551
 
3.5%
파 2435
 
3.4%
트 2303
 
3.2%
지 1908
 
2.6%
대 1747
 
2.4%
동 1677
 
2.3%
단 1518
 
2.1%
신 1441
 
2.0%
차 1349
 
1.9%
이 1275
 
1.8%
Other values (424) 54257
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66256
91.4%
Decimal Number 3710
 
5.1%
Uppercase Letter 820
 
1.1%
Space Separator 768
 
1.1%
Lowercase Letter 288
 
0.4%
Close Punctuation 169
 
0.2%
Open Punctuation 169
 
0.2%
Other Punctuation 155
 
0.2%
Dash Punctuation 117
 
0.2%
Letter Number 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2551
 
3.9%
파 2435
 
3.7%
트 2303
 
3.5%
지 1908
 
2.9%
대 1747
 
2.6%
동 1677
 
2.5%
단 1518
 
2.3%
신 1441
 
2.2%
차 1349
 
2.0%
이 1275
 
1.9%
Other values (379) 48052
72.5%
Uppercase Letter
ValueCountFrequency (%)
S 160
19.5%
K 121
14.8%
C 98
12.0%
M 70
8.5%
D 70
8.5%
H 52
 
6.3%
L 49
 
6.0%
E 38
 
4.6%
A 34
 
4.1%
I 33
 
4.0%
Other values (7) 95
11.6%
Lowercase Letter
ValueCountFrequency (%)
e 163
56.6%
l 28
 
9.7%
i 24
 
8.3%
s 18
 
6.2%
k 16
 
5.6%
v 15
 
5.2%
a 6
 
2.1%
g 6
 
2.1%
c 4
 
1.4%
w 4
 
1.4%
Decimal Number
ValueCountFrequency (%)
1 1107
29.8%
2 1084
29.2%
3 489
13.2%
4 277
 
7.5%
5 225
 
6.1%
6 171
 
4.6%
7 105
 
2.8%
9 90
 
2.4%
0 82
 
2.2%
8 80
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 130
83.9%
. 25
 
16.1%
Space Separator
ValueCountFrequency (%)
768
100.0%
Close Punctuation
ValueCountFrequency (%)
) 169
100.0%
Open Punctuation
ValueCountFrequency (%)
( 169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 117
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66256
91.4%
Common 5088
 
7.0%
Latin 1117
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2551
 
3.9%
파 2435
 
3.7%
트 2303
 
3.5%
지 1908
 
2.9%
대 1747
 
2.6%
동 1677
 
2.5%
단 1518
 
2.3%
신 1441
 
2.2%
차 1349
 
2.0%
이 1275
 
1.9%
Other values (379) 48052
72.5%
Latin
ValueCountFrequency (%)
e 163
14.6%
S 160
14.3%
K 121
10.8%
C 98
 
8.8%
M 70
 
6.3%
D 70
 
6.3%
H 52
 
4.7%
L 49
 
4.4%
E 38
 
3.4%
A 34
 
3.0%
Other values (19) 262
23.5%
Common
ValueCountFrequency (%)
1 1107
21.8%
2 1084
21.3%
768
15.1%
3 489
9.6%
4 277
 
5.4%
5 225
 
4.4%
6 171
 
3.4%
) 169
 
3.3%
( 169
 
3.3%
, 130
 
2.6%
Other values (6) 499
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66256
91.4%
ASCII 6196
 
8.6%
Number Forms 9
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2551
 
3.9%
파 2435
 
3.7%
트 2303
 
3.5%
지 1908
 
2.9%
대 1747
 
2.6%
동 1677
 
2.5%
단 1518
 
2.3%
신 1441
 
2.2%
차 1349
 
2.0%
이 1275
 
1.9%
Other values (379) 48052
72.5%
ASCII
ValueCountFrequency (%)
1 1107
17.9%
2 1084
17.5%
768
12.4%
3 489
 
7.9%
4 277
 
4.5%
5 225
 
3.6%
6 171
 
2.8%
) 169
 
2.7%
( 169
 
2.7%
e 163
 
2.6%
Other values (34) 1574
25.4%
Number Forms
ValueCountFrequency (%)
Ⅰ 9
100.0%

아파트코드
Text

Distinct2156
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T02:33:46.279381image/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

Unique198 ?
Unique (%)2.0%

Sample

1st rowA13003003
2nd rowA15106901
3rd rowA13822702
4th rowA15003001
5th rowA13583402
ValueCountFrequency (%)
a12085303 24
 
0.2%
a13583507 18
 
0.2%
a15101508 18
 
0.2%
a14272311 18
 
0.2%
a13822004 16
 
0.2%
a13528103 15
 
0.1%
a13822003 15
 
0.1%
a10026988 15
 
0.1%
a13527203 15
 
0.1%
a10026748 15
 
0.1%
Other values (2146) 9831
98.3%
2024-05-11T02:33:47.648535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18329
20.4%
1 17206
19.1%
A 9993
11.1%
3 8985
10.0%
2 8224
9.1%
5 6402
 
7.1%
8 5741
 
6.4%
7 4921
 
5.5%
4 3902
 
4.3%
6 3342
 
3.7%
Other values (2) 2955
 
3.3%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18329
22.9%
1 17206
21.5%
3 8985
11.2%
2 8224
10.3%
5 6402
 
8.0%
8 5741
 
7.2%
7 4921
 
6.2%
4 3902
 
4.9%
6 3342
 
4.2%
9 2948
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
A 9993
99.9%
B 7
 
0.1%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 18329
22.9%
1 17206
21.5%
3 8985
11.2%
2 8224
10.3%
5 6402
 
8.0%
8 5741
 
7.2%
7 4921
 
6.2%
4 3902
 
4.9%
6 3342
 
4.2%
9 2948
 
3.7%
Latin
ValueCountFrequency (%)
A 9993
99.9%
B 7
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18329
20.4%
1 17206
19.1%
A 9993
11.1%
3 8985
10.0%
2 8224
9.1%
5 6402
 
7.1%
8 5741
 
6.4%
7 4921
 
5.5%
4 3902
 
4.3%
6 3342
 
3.7%
Other values (2) 2955
 
3.3%

비용명
Categorical

Distinct15
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
연체료수익
3600 
승강기수익
998 
이자수익
961 
잡수익
949 
주차장수익
853 
Other values (10)
2639 

Length

Max length9
Median length5
Mean length4.9244
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row광고료수익
2nd row주차장수익
3rd row연체료수익
4th row연체료수익
5th row고용안정사업수익

Common Values

ValueCountFrequency (%)
연체료수익 3600
36.0%
승강기수익 998
 
10.0%
이자수익 961
 
9.6%
잡수익 949
 
9.5%
주차장수익 853
 
8.5%
광고료수익 687
 
6.9%
고용안정사업수익 449
 
4.5%
기타운영수익 362
 
3.6%
검침수익 248
 
2.5%
알뜰시장수익 238
 
2.4%
Other values (5) 655
 
6.6%

Length

2024-05-11T02:33:48.223492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
연체료수익 3600
36.0%
승강기수익 998
 
10.0%
이자수익 961
 
9.6%
잡수익 949
 
9.5%
주차장수익 853
 
8.5%
광고료수익 687
 
6.9%
고용안정사업수익 449
 
4.5%
기타운영수익 362
 
3.6%
검침수익 248
 
2.5%
알뜰시장수익 238
 
2.4%
Other values (5) 655
 
6.6%

년월일
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20201218
Minimum20201201
Maximum20201231
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-11T02:33:48.692703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20201201
5-th percentile20201202
Q120201210
median20201218
Q320201227
95-th percentile20201231
Maximum20201231
Range30
Interquartile range (IQR)17

Descriptive statistics

Standard deviation9.5413062
Coefficient of variation (CV)4.7231342 × 10-7
Kurtosis-1.1868336
Mean20201218
Median Absolute Deviation (MAD)8
Skewness-0.19198884
Sum2.0201218 × 1011
Variance91.036524
MonotonicityNot monotonic
2024-05-11T02:33:49.063963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
20201231 1003
 
10.0%
20201228 477
 
4.8%
20201230 474
 
4.7%
20201201 434
 
4.3%
20201215 421
 
4.2%
20201224 412
 
4.1%
20201210 407
 
4.1%
20201229 389
 
3.9%
20201221 383
 
3.8%
20201219 372
 
3.7%
Other values (21) 5228
52.3%
ValueCountFrequency (%)
20201201 434
4.3%
20201202 335
3.4%
20201203 297
3.0%
20201204 280
2.8%
20201205 59
 
0.6%
20201206 75
 
0.8%
20201207 344
3.4%
20201208 245
2.5%
20201209 269
2.7%
20201210 407
4.1%
ValueCountFrequency (%)
20201231 1003
10.0%
20201230 474
4.7%
20201229 389
 
3.9%
20201228 477
4.8%
20201227 311
 
3.1%
20201226 129
 
1.3%
20201225 163
 
1.6%
20201224 412
4.1%
20201223 353
 
3.5%
20201222 301
 
3.0%

금액
Real number (ℝ)

SKEWED 

Distinct3787
Distinct (%)37.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean267425.22
Minimum-8468244
Maximum2.268651 × 108
Zeros14
Zeros (%)0.1%
Negative62
Negative (%)0.6%
Memory size166.0 KiB
2024-05-11T02:33:49.471976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-8468244
5-th percentile130
Q12210
median20000
Q3100000
95-th percentile960000
Maximum2.268651 × 108
Range2.3533334 × 108
Interquartile range (IQR)97790

Descriptive statistics

Standard deviation2688706.6
Coefficient of variation (CV)10.05405
Kurtosis5137.9541
Mean267425.22
Median Absolute Deviation (MAD)19700.5
Skewness63.888439
Sum2.6742522 × 109
Variance7.2291432 × 1012
MonotonicityNot monotonic
2024-05-11T02:33:49.864452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100000 461
 
4.6%
50000 459
 
4.6%
30000 402
 
4.0%
70000 148
 
1.5%
60000 127
 
1.3%
150000 124
 
1.2%
200000 116
 
1.2%
90000 103
 
1.0%
80000 102
 
1.0%
40000 86
 
0.9%
Other values (3777) 7872
78.7%
ValueCountFrequency (%)
-8468244 1
< 0.1%
-8300000 1
< 0.1%
-2309050 1
< 0.1%
-1809670 1
< 0.1%
-1580000 1
< 0.1%
-1407000 1
< 0.1%
-1332000 1
< 0.1%
-1060610 1
< 0.1%
-750000 1
< 0.1%
-640000 1
< 0.1%
ValueCountFrequency (%)
226865099 1
< 0.1%
80000000 1
< 0.1%
41737585 1
< 0.1%
36014480 1
< 0.1%
36000000 1
< 0.1%
21918000 1
< 0.1%
21096070 1
< 0.1%
20000000 2
< 0.1%
18850000 1
< 0.1%
18405000 1
< 0.1%

내용
Text

Distinct5653
Distinct (%)56.6%
Missing10
Missing (%)0.1%
Memory size156.2 KiB
2024-05-11T02:33:50.706913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length65
Mean length14.147948
Min length2

Characters and Unicode

Total characters141338
Distinct characters717
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

Unique5384 ?
Unique (%)53.9%

Sample

1st row난방배관청소 광고(게시판)
2nd row행복한어린이집임정화(9~12월)
3rd row관리비 연체료 수납
4th row관리비 연체료 수납
5th row10월분 일자리안정자금(미화)
ValueCountFrequency (%)
관리비 3754
 
14.3%
수납 3609
 
13.8%
연체료 3609
 
13.8%
12월분 343
 
1.3%
11월분 313
 
1.2%
승강기 241
 
0.9%
240
 
0.9%
승강기사용료 239
 
0.9%
입금 229
 
0.9%
12월 213
 
0.8%
Other values (7227) 13438
51.2%
2024-05-11T02:33:51.966129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16352
 
11.6%
1 6745
 
4.8%
료 5349
 
3.8%
리 5197
 
3.7%
수 5187
 
3.7%
0 4734
 
3.3%
비 4715
 
3.3%
관 4181
 
3.0%
2 3926
 
2.8%
체 3822
 
2.7%
Other values (707) 81130
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 91233
64.5%
Decimal Number 21723
 
15.4%
Space Separator 16352
 
11.6%
Close Punctuation 3140
 
2.2%
Open Punctuation 3127
 
2.2%
Other Punctuation 2536
 
1.8%
Dash Punctuation 2236
 
1.6%
Uppercase Letter 529
 
0.4%
Math Symbol 289
 
0.2%
Lowercase Letter 110
 
0.1%
Other values (2) 63
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
료 5349
 
5.9%
리 5197
 
5.7%
수 5187
 
5.7%
비 4715
 
5.2%
관 4181
 
4.6%
체 3822
 
4.2%
납 3681
 
4.0%
연 3678
 
4.0%
자 2309
 
2.5%
금 2159
 
2.4%
Other values (626) 50955
55.9%
Uppercase Letter
ValueCountFrequency (%)
N 69
13.0%
K 50
 
9.5%
S 39
 
7.4%
L 38
 
7.2%
C 34
 
6.4%
O 32
 
6.0%
D 31
 
5.9%
R 29
 
5.5%
T 28
 
5.3%
G 28
 
5.3%
Other values (14) 151
28.5%
Lowercase Letter
ValueCountFrequency (%)
o 45
40.9%
n 11
 
10.0%
x 10
 
9.1%
k 9
 
8.2%
s 6
 
5.5%
e 5
 
4.5%
t 4
 
3.6%
a 4
 
3.6%
l 3
 
2.7%
w 3
 
2.7%
Other values (7) 10
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 692
27.3%
. 687
27.1%
/ 668
26.3%
: 200
 
7.9%
* 148
 
5.8%
? 64
 
2.5%
@ 35
 
1.4%
% 20
 
0.8%
# 8
 
0.3%
; 5
 
0.2%
Other values (3) 9
 
0.4%
Decimal Number
ValueCountFrequency (%)
1 6745
31.1%
0 4734
21.8%
2 3926
18.1%
3 1354
 
6.2%
4 1065
 
4.9%
5 982
 
4.5%
6 838
 
3.9%
9 726
 
3.3%
7 686
 
3.2%
8 667
 
3.1%
Math Symbol
ValueCountFrequency (%)
~ 219
75.8%
> 24
 
8.3%
+ 19
 
6.6%
< 10
 
3.5%
= 10
 
3.5%
× 5
 
1.7%
÷ 1
 
0.3%
⇒ 1
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 3068
97.7%
] 72
 
2.3%
Open Punctuation
ValueCountFrequency (%)
( 3056
97.7%
[ 71
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 2235
> 99.9%
－ 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
16352
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 62
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 91226
64.5%
Common 49465
35.0%
Latin 639
 
0.5%
Han 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
료 5349
 
5.9%
리 5197
 
5.7%
수 5187
 
5.7%
비 4715
 
5.2%
관 4181
 
4.6%
체 3822
 
4.2%
납 3681
 
4.0%
연 3678
 
4.0%
자 2309
 
2.5%
금 2159
 
2.4%
Other values (623) 50948
55.8%
Latin
ValueCountFrequency (%)
N 69
 
10.8%
K 50
 
7.8%
o 45
 
7.0%
S 39
 
6.1%
L 38
 
5.9%
C 34
 
5.3%
O 32
 
5.0%
D 31
 
4.9%
R 29
 
4.5%
T 28
 
4.4%
Other values (31) 244
38.2%
Common
ValueCountFrequency (%)
16352
33.1%
1 6745
13.6%
0 4734
 
9.6%
2 3926
 
7.9%
) 3068
 
6.2%
( 3056
 
6.2%
- 2235
 
4.5%
3 1354
 
2.7%
4 1065
 
2.2%
5 982
 
2.0%
Other values (29) 5948
 
12.0%
Han
ValueCountFrequency (%)
入 5
62.5%
不 1
 
12.5%
內 1
 
12.5%
人 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 91225
64.5%
ASCII 50095
35.4%
None 9
 
< 0.1%
CJK 7
 
< 0.1%
Arrows 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16352
32.6%
1 6745
13.5%
0 4734
 
9.5%
2 3926
 
7.8%
) 3068
 
6.1%
( 3056
 
6.1%
- 2235
 
4.5%
3 1354
 
2.7%
4 1065
 
2.1%
5 982
 
2.0%
Other values (65) 6578
13.1%
Hangul
ValueCountFrequency (%)
료 5349
 
5.9%
리 5197
 
5.7%
수 5187
 
5.7%
비 4715
 
5.2%
관 4181
 
4.6%
체 3822
 
4.2%
납 3681
 
4.0%
연 3678
 
4.0%
자 2309
 
2.5%
금 2159
 
2.4%
Other values (622) 50947
55.8%
None
ValueCountFrequency (%)
× 5
55.6%
÷ 1
 
11.1%
㈜ 1
 
11.1%
－ 1
 
11.1%
· 1
 
11.1%
CJK
ValueCountFrequency (%)
入 5
71.4%
內 1
 
14.3%
人 1
 
14.3%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
不 1
100.0%

Interactions

2024-05-11T02:33:41.774352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:40.958400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:42.247014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-11T02:33:41.326395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T02:33:52.136022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명년월일금액
비용명1.0000.4930.153
년월일0.4931.0000.000
금액0.1530.0001.000
2024-05-11T02:33:52.341698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년월일금액비용명
년월일1.0000.0330.207
금액0.0331.0000.066
비용명0.2070.0661.000

Missing values

2024-05-11T02:33:42.756896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T02:33:43.423738image/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
14246답십리두산위브A13003003광고료수익2020122330000난방배관청소 광고(게시판)
52851봉천두산1,2단지A15106901주차장수익2020122240000행복한어린이집임정화(9~12월)
37292잠실우성1,2,3차A13822702연체료수익202012178990관리비 연체료 수납
48753영등포두산위브A15003001연체료수익202012311630관리비 연체료 수납
28620대치쌍용2차A13583402고용안정사업수익2020120330000010월분 일자리안정자금(미화)
53300대학동현대(구신림9동)A15186002연체료수익202012302380관리비 연체료 수납
467당산센트럴아이파크A10024789연체료수익2020123140480관리비 연체료 수납
54723서울수목원현대홈타운스위트A15271601광고료수익2020122840000게시판광고-해드림기획(2주12.28~21.01.10)
63358목동한신청구A15805002연체료수익202012232610관리비 연체료 수납
53095봉천두산3단지A15178203연체료수익202012271220관리비 연체료 수납
아파트명아파트코드비용명년월일금액내용
2708래미안베라힐즈아파트A10025846승강기수익20201204100000승강기사용료 201-1605 전입
22004성동삼성쉐르빌A13370801검침수익20201214147060전기검침비
65024양천중앙하이츠A15873902잡수익2020121020000011월분 세차 업체 지하주차장 사용료 ((주)그린세차)
59120흑석해가든A15679106주차장수익20201221210000월주차료 수입
62812방화4단지(삼익삼환)A15785710기타운영수익20201231800012월분 팩스 및 복사기사용료
62304가양9-2A15781003승강기수익2020122450000912-812 전출 승강기이용료
65254목동금강에스쁘아A15881701잡수익20201219100000309호 내부공사시 승강기사용료
35015서초아크로비스타A13788206승강기수익20201223690000B-2601인테리어 공사.승강기사용료 입금.20.12.23-21.1.31((주)아이에스팩토리)
34226서초네이처힐6단지A13778207잡수익20201221191211월분 관리비 부과차익
43777중계경남롯데상아A13986302연체료수익202012283440관리비 연체료 수납