Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory488.3 KiB
Average record size in memory50.0 B

Variable types

Text3
Categorical1
Numeric1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-15820/S/1/datasetView.do

Alerts

년월일 has constant value ""Constant
금액 has 2119 (21.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:59:30.593079
Analysis finished2024-05-11 05:59:31.381402
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2175
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:59:31.604972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length7.3332
Min length2

Characters and Unicode

Total characters73332
Distinct characters434
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

Unique101 ?
Unique (%)1.0%

Sample

1st row노원프레미어스엠코
2nd row은평뉴타운우물골6단지
3rd row월계우남아파트
4th row목동현대1차
5th row잠실5단지아파트
ValueCountFrequency (%)
아파트 155
 
1.5%
래미안 28
 
0.3%
아이파크 24
 
0.2%
e편한세상 22
 
0.2%
북한산 16
 
0.2%
sk뷰 13
 
0.1%
푸르지오 13
 
0.1%
코오롱하늘채아파트 12
 
0.1%
목동진도2차 12
 
0.1%
롯데캐슬루나 12
 
0.1%
Other values (2243) 10338
97.1%
2024-05-11T14:59:32.414716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2481
 
3.4%
파 2380
 
3.2%
트 2183
 
3.0%
지 1889
 
2.6%
대 1796
 
2.4%
동 1722
 
2.3%
차 1493
 
2.0%
단 1464
 
2.0%
신 1444
 
2.0%
이 1318
 
1.8%
Other values (424) 55162
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67110
91.5%
Decimal Number 3741
 
5.1%
Uppercase Letter 775
 
1.1%
Space Separator 730
 
1.0%
Lowercase Letter 399
 
0.5%
Dash Punctuation 151
 
0.2%
Open Punctuation 148
 
0.2%
Close Punctuation 148
 
0.2%
Other Punctuation 124
 
0.2%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2481
 
3.7%
파 2380
 
3.5%
트 2183
 
3.3%
지 1889
 
2.8%
대 1796
 
2.7%
동 1722
 
2.6%
차 1493
 
2.2%
단 1464
 
2.2%
신 1444
 
2.2%
이 1318
 
2.0%
Other values (379) 48940
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 133
17.2%
K 101
13.0%
C 82
10.6%
L 66
8.5%
M 59
7.6%
D 59
7.6%
I 45
 
5.8%
H 44
 
5.7%
G 39
 
5.0%
E 37
 
4.8%
Other values (7) 110
14.2%
Lowercase Letter
ValueCountFrequency (%)
e 220
55.1%
i 34
 
8.5%
l 30
 
7.5%
s 26
 
6.5%
v 22
 
5.5%
k 22
 
5.5%
w 15
 
3.8%
c 12
 
3.0%
h 10
 
2.5%
a 4
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 1178
31.5%
2 1072
28.7%
3 483
12.9%
4 238
 
6.4%
5 187
 
5.0%
6 166
 
4.4%
7 129
 
3.4%
8 117
 
3.1%
0 87
 
2.3%
9 84
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 95
76.6%
. 29
 
23.4%
Space Separator
ValueCountFrequency (%)
730
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 148
100.0%
Close Punctuation
ValueCountFrequency (%)
) 148
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67110
91.5%
Common 5048
 
6.9%
Latin 1174
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2481
 
3.7%
파 2380
 
3.5%
트 2183
 
3.3%
지 1889
 
2.8%
대 1796
 
2.7%
동 1722
 
2.6%
차 1493
 
2.2%
단 1464
 
2.2%
신 1444
 
2.2%
이 1318
 
2.0%
Other values (379) 48940
72.9%
Latin
ValueCountFrequency (%)
e 220
18.7%
S 133
11.3%
K 101
 
8.6%
C 82
 
7.0%
L 66
 
5.6%
M 59
 
5.0%
D 59
 
5.0%
I 45
 
3.8%
H 44
 
3.7%
G 39
 
3.3%
Other values (18) 326
27.8%
Common
ValueCountFrequency (%)
1 1178
23.3%
2 1072
21.2%
730
14.5%
3 483
9.6%
4 238
 
4.7%
5 187
 
3.7%
6 166
 
3.3%
- 151
 
3.0%
( 148
 
2.9%
) 148
 
2.9%
Other values (7) 547
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67110
91.5%
ASCII 6222
 
8.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2481
 
3.7%
파 2380
 
3.5%
트 2183
 
3.3%
지 1889
 
2.8%
대 1796
 
2.7%
동 1722
 
2.6%
차 1493
 
2.2%
단 1464
 
2.2%
신 1444
 
2.2%
이 1318
 
2.0%
Other values (379) 48940
72.9%
ASCII
ValueCountFrequency (%)
1 1178
18.9%
2 1072
17.2%
730
11.7%
3 483
 
7.8%
4 238
 
3.8%
e 220
 
3.5%
5 187
 
3.0%
6 166
 
2.7%
- 151
 
2.4%
( 148
 
2.4%
Other values (35) 1649
26.5%

아파트코드
Text

Distinct2182
Distinct (%)21.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:59:32.763333image/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

Unique102 ?
Unique (%)1.0%

Sample

1st rowA10027622
2nd rowA41279917
3rd rowA10024812
4th rowA15882008
5th rowA13879102
ValueCountFrequency (%)
a13905003 12
 
0.1%
a13981402 12
 
0.1%
a15882103 12
 
0.1%
a13991018 12
 
0.1%
a13308004 12
 
0.1%
a15288807 12
 
0.1%
a13676101 11
 
0.1%
a15279101 11
 
0.1%
a14085101 11
 
0.1%
a13770105 11
 
0.1%
Other values (2172) 9884
98.8%
2024-05-11T14:59:33.302193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18401
20.4%
1 17700
19.7%
A 9993
11.1%
3 8603
9.6%
2 8131
9.0%
5 6300
 
7.0%
8 5769
 
6.4%
7 4875
 
5.4%
4 3909
 
4.3%
6 3338
 
3.7%
Other values (2) 2981
 
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 18401
23.0%
1 17700
22.1%
3 8603
10.8%
2 8131
10.2%
5 6300
 
7.9%
8 5769
 
7.2%
7 4875
 
6.1%
4 3909
 
4.9%
6 3338
 
4.2%
9 2974
 
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 18401
23.0%
1 17700
22.1%
3 8603
10.8%
2 8131
10.2%
5 6300
 
7.9%
8 5769
 
7.2%
7 4875
 
6.1%
4 3909
 
4.9%
6 3338
 
4.2%
9 2974
 
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 18401
20.4%
1 17700
19.7%
A 9993
11.1%
3 8603
9.6%
2 8131
9.0%
5 6300
 
7.0%
8 5769
 
6.4%
7 4875
 
5.4%
4 3909
 
4.3%
6 3338
 
3.7%
Other values (2) 2981
 
3.3%

비용명
Text

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:59:33.613985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length9
Mean length5.9737
Min length2

Characters and Unicode

Total characters59737
Distinct characters107
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row가지급금
2nd row주차장충당부채
3rd row수선유지비충당부채
4th row미부과관리비
5th row주차장충당부채
ValueCountFrequency (%)
선급비용 340
 
3.4%
비품 323
 
3.2%
당기순이익 321
 
3.2%
예금 308
 
3.1%
관리비미수금 307
 
3.1%
공동주택적립금 307
 
3.1%
장기수선충당예금 305
 
3.0%
연차수당충당부채 304
 
3.0%
퇴직급여충당부채 302
 
3.0%
미처분이익잉여금 299
 
3.0%
Other values (67) 6884
68.8%
2024-05-11T14:59:34.064771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 4657
 
7.8%
당 3766
 
6.3%
수 3143
 
5.3%
비 3089
 
5.2%
충 3051
 
5.1%
부 2896
 
4.8%
채 2606
 
4.4%
기 2362
 
4.0%
선 1882
 
3.2%
예 1826
 
3.1%
Other values (97) 30459
51.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59737
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4657
 
7.8%
당 3766
 
6.3%
수 3143
 
5.3%
비 3089
 
5.2%
충 3051
 
5.1%
부 2896
 
4.8%
채 2606
 
4.4%
기 2362
 
4.0%
선 1882
 
3.2%
예 1826
 
3.1%
Other values (97) 30459
51.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59737
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4657
 
7.8%
당 3766
 
6.3%
수 3143
 
5.3%
비 3089
 
5.2%
충 3051
 
5.1%
부 2896
 
4.8%
채 2606
 
4.4%
기 2362
 
4.0%
선 1882
 
3.2%
예 1826
 
3.1%
Other values (97) 30459
51.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59737
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 4657
 
7.8%
당 3766
 
6.3%
수 3143
 
5.3%
비 3089
 
5.2%
충 3051
 
5.1%
부 2896
 
4.8%
채 2606
 
4.4%
기 2362
 
4.0%
선 1882
 
3.2%
예 1826
 
3.1%
Other values (97) 30459
51.0%

년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202101
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202101
2nd row202101
3rd row202101
4th row202101
5th row202101

Common Values

ValueCountFrequency (%)
202101 10000
100.0%

Length

2024-05-11T14:59:34.264839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:59:34.373348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202101 10000
100.0%

금액
Real number (ℝ)

ZEROS 

Distinct7504
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75155444
Minimum-2.3425792 × 109
Maximum1.1555036 × 1010
Zeros2119
Zeros (%)21.2%
Negative359
Negative (%)3.6%
Memory size166.0 KiB
2024-05-11T14:59:34.497399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2.3425792 × 109
5-th percentile0
Q1676.25
median3295120
Q338120101
95-th percentile3.621052 × 108
Maximum1.1555036 × 1010
Range1.3897616 × 1010
Interquartile range (IQR)38119425

Descriptive statistics

Standard deviation3.0115551 × 108
Coefficient of variation (CV)4.0071017
Kurtosis325.92718
Mean75155444
Median Absolute Deviation (MAD)3295120
Skewness13.623274
Sum7.5155444 × 1011
Variance9.0694641 × 1016
MonotonicityNot monotonic
2024-05-11T14:59:34.667392image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2119
 
21.2%
250000 30
 
0.3%
500000 27
 
0.3%
300000 23
 
0.2%
484000 16
 
0.2%
200000 15
 
0.1%
100000 13
 
0.1%
1000000 12
 
0.1%
2000000 11
 
0.1%
5000 11
 
0.1%
Other values (7494) 7723
77.2%
ValueCountFrequency (%)
-2342579199 1
< 0.1%
-351953875 1
< 0.1%
-255043522 1
< 0.1%
-211068660 1
< 0.1%
-201330000 1
< 0.1%
-184058089 1
< 0.1%
-160488750 1
< 0.1%
-147423250 1
< 0.1%
-138548880 1
< 0.1%
-121721690 1
< 0.1%
ValueCountFrequency (%)
11555036307 1
< 0.1%
6456176993 1
< 0.1%
5883312757 1
< 0.1%
5883045553 1
< 0.1%
5717716767 1
< 0.1%
5205895061 1
< 0.1%
5083882067 1
< 0.1%
4912050791 1
< 0.1%
4564779793 1
< 0.1%
4455471748 1
< 0.1%

Interactions

2024-05-11T14:59:31.072033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:59:34.785115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명금액
비용명1.0000.521
금액0.5211.000

Missing values

2024-05-11T14:59:31.211838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:59:31.327065image/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

아파트명아파트코드비용명년월일금액
5334노원프레미어스엠코A10027622가지급금2021011281561
68450은평뉴타운우물골6단지A41279917주차장충당부채2021010
778월계우남아파트A10024812수선유지비충당부채2021011115800
67094목동현대1차A15882008미부과관리비20210185962372
38575잠실5단지아파트A13879102주차장충당부채20210112500000
28147도곡쌍용예가A13527019현금2021013960
57365독산동중앙하이츠빌아파트A15301105장기수선충당부채202101708765459
45459용산e-편한세상A14009001전신전화가입권2021010
20302방학거성학마을A13285305기타유형자산감가상각누계액202101-1001500
11269동양엔파트A12181101퇴직급여충당부채2021018377600
아파트명아파트코드비용명년월일금액
45672동부센트레빌아스테리움서울A14070901비품감가상각누계액202101-121721690
3824위례포레샤인아파트A10026682관리비미수금202101102281351
44999이촌동부센트레빌A14003004예수금2021012120640
175위례포레샤인13단지아파트A10024492기타충당예금2021010
58967상도더샵A15603206현금202101320220
19088쌍문금호1차아파트A13203408예금202101287810623
8034홍제성원아파트A12009201선급금20210152030
3244반포래미안아이파크A10026051단기보증금2021014450000
38950거여현대2차A13881401공동주택적립금2021015629522
45737한가람아파트A14072701미수금2021011870500