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 2419 (24.2%) zerosZeros

Reproduction

Analysis started2024-05-11 05:55:31.279310
Analysis finished2024-05-11 05:55:32.513206
Duration1.23 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2260
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:32.749914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.4382
Min length2

Characters and Unicode

Total characters74382
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

Unique116 ?
Unique (%)1.2%

Sample

1st row올림픽훼밀리타운
2nd row금호두산
3rd row안암삼익
4th row도곡경남
5th row도봉삼환
ValueCountFrequency (%)
아파트 190
 
1.7%
래미안 42
 
0.4%
아이파크 34
 
0.3%
e편한세상 30
 
0.3%
sk뷰 21
 
0.2%
경남아너스빌 20
 
0.2%
고덕 15
 
0.1%
이편한세상 15
 
0.1%
래미안밤섬리베뉴 14
 
0.1%
백련산 14
 
0.1%
Other values (2345) 10469
96.4%
2024-05-11T14:55:33.363397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2564
 
3.4%
파 2553
 
3.4%
트 2356
 
3.2%
지 1898
 
2.6%
대 1645
 
2.2%
동 1574
 
2.1%
단 1500
 
2.0%
신 1467
 
2.0%
차 1455
 
2.0%
이 1438
 
1.9%
Other values (424) 55932
75.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67982
91.4%
Decimal Number 3721
 
5.0%
Space Separator 966
 
1.3%
Uppercase Letter 832
 
1.1%
Lowercase Letter 344
 
0.5%
Close Punctuation 149
 
0.2%
Open Punctuation 149
 
0.2%
Dash Punctuation 132
 
0.2%
Other Punctuation 100
 
0.1%
Letter Number 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2564
 
3.8%
파 2553
 
3.8%
트 2356
 
3.5%
지 1898
 
2.8%
대 1645
 
2.4%
동 1574
 
2.3%
단 1500
 
2.2%
신 1467
 
2.2%
차 1455
 
2.1%
이 1438
 
2.1%
Other values (379) 49532
72.9%
Uppercase Letter
ValueCountFrequency (%)
S 135
16.2%
C 120
14.4%
K 100
12.0%
M 87
10.5%
D 87
10.5%
L 54
 
6.5%
H 54
 
6.5%
I 45
 
5.4%
E 37
 
4.4%
G 26
 
3.1%
Other values (7) 87
10.5%
Lowercase Letter
ValueCountFrequency (%)
e 179
52.0%
l 32
 
9.3%
s 29
 
8.4%
i 29
 
8.4%
v 23
 
6.7%
k 21
 
6.1%
h 10
 
2.9%
w 9
 
2.6%
g 4
 
1.2%
c 4
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 1091
29.3%
2 1065
28.6%
3 509
13.7%
4 256
 
6.9%
5 226
 
6.1%
6 164
 
4.4%
7 123
 
3.3%
8 101
 
2.7%
9 98
 
2.6%
0 88
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 78
78.0%
. 22
 
22.0%
Space Separator
ValueCountFrequency (%)
966
100.0%
Close Punctuation
ValueCountFrequency (%)
) 149
100.0%
Open Punctuation
ValueCountFrequency (%)
( 149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67982
91.4%
Common 5217
 
7.0%
Latin 1183
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2564
 
3.8%
파 2553
 
3.8%
트 2356
 
3.5%
지 1898
 
2.8%
대 1645
 
2.4%
동 1574
 
2.3%
단 1500
 
2.2%
신 1467
 
2.2%
차 1455
 
2.1%
이 1438
 
2.1%
Other values (379) 49532
72.9%
Latin
ValueCountFrequency (%)
e 179
15.1%
S 135
11.4%
C 120
10.1%
K 100
 
8.5%
M 87
 
7.4%
D 87
 
7.4%
L 54
 
4.6%
H 54
 
4.6%
I 45
 
3.8%
E 37
 
3.1%
Other values (19) 285
24.1%
Common
ValueCountFrequency (%)
1 1091
20.9%
2 1065
20.4%
966
18.5%
3 509
9.8%
4 256
 
4.9%
5 226
 
4.3%
6 164
 
3.1%
) 149
 
2.9%
( 149
 
2.9%
- 132
 
2.5%
Other values (6) 510
9.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67982
91.4%
ASCII 6393
 
8.6%
Number Forms 7
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2564
 
3.8%
파 2553
 
3.8%
트 2356
 
3.5%
지 1898
 
2.8%
대 1645
 
2.4%
동 1574
 
2.3%
단 1500
 
2.2%
신 1467
 
2.2%
차 1455
 
2.1%
이 1438
 
2.1%
Other values (379) 49532
72.9%
ASCII
ValueCountFrequency (%)
1 1091
17.1%
2 1065
16.7%
966
15.1%
3 509
 
8.0%
4 256
 
4.0%
5 226
 
3.5%
e 179
 
2.8%
6 164
 
2.6%
) 149
 
2.3%
( 149
 
2.3%
Other values (34) 1639
25.6%
Number Forms
ValueCountFrequency (%)
Ⅰ 7
100.0%

아파트코드
Text

Distinct2265
Distinct (%)22.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:33.882564image/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

Unique117 ?
Unique (%)1.2%

Sample

1st rowA13820201
2nd rowA13380703
3rd rowA13607301
4th rowA13527008
5th rowA13201207
ValueCountFrequency (%)
a12009304 13
 
0.1%
a15885514 13
 
0.1%
a12119004 13
 
0.1%
a15884703 12
 
0.1%
a15205301 12
 
0.1%
a41279923 12
 
0.1%
a15005001 12
 
0.1%
a13676101 11
 
0.1%
a15106001 11
 
0.1%
a14277601 11
 
0.1%
Other values (2255) 9880
98.8%
2024-05-11T14:55:34.623495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18543
20.6%
1 17536
19.5%
A 9989
11.1%
3 8810
9.8%
2 8287
9.2%
5 6207
 
6.9%
8 5483
 
6.1%
7 4654
 
5.2%
4 3946
 
4.4%
6 3356
 
3.7%
Other values (2) 3189
 
3.5%

Most occurring categories

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

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 18543
23.2%
1 17536
21.9%
3 8810
11.0%
2 8287
10.4%
5 6207
 
7.8%
8 5483
 
6.9%
7 4654
 
5.8%
4 3946
 
4.9%
6 3356
 
4.2%
9 3178
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 9989
99.9%
B 11
 
0.1%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 18543
23.2%
1 17536
21.9%
3 8810
11.0%
2 8287
10.4%
5 6207
 
7.8%
8 5483
 
6.9%
7 4654
 
5.8%
4 3946
 
4.9%
6 3356
 
4.2%
9 3178
 
4.0%
Latin
ValueCountFrequency (%)
A 9989
99.9%
B 11
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18543
20.6%
1 17536
19.5%
A 9989
11.1%
3 8810
9.8%
2 8287
9.2%
5 6207
 
6.9%
8 5483
 
6.1%
7 4654
 
5.2%
4 3946
 
4.4%
6 3356
 
3.7%
Other values (2) 3189
 
3.5%

비용명
Text

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:34.985354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.0126
Min length2

Characters and Unicode

Total characters60126
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

Unique0 ?
Unique (%)0.0%

Sample

1st row일반관리비충당부채
2nd row기타당좌자산
3rd row비품
4th row저장품
5th row기타인건비충당부채
ValueCountFrequency (%)
퇴직급여충당부채 331
 
3.3%
미처분이익잉여금 312
 
3.1%
선급비용 308
 
3.1%
공동주택적립금 307
 
3.1%
예수금 304
 
3.0%
당기순이익 303
 
3.0%
장기수선충당부채 301
 
3.0%
미부과관리비 301
 
3.0%
예금 300
 
3.0%
가수금 299
 
3.0%
Other values (67) 6934
69.3%
2024-05-11T14:55:35.498648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 4610
 
7.7%
당 3792
 
6.3%
비 3073
 
5.1%
수 3020
 
5.0%
충 3018
 
5.0%
부 2945
 
4.9%
채 2627
 
4.4%
기 2478
 
4.1%
선 1861
 
3.1%
예 1765
 
2.9%
Other values (97) 30937
51.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60126
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4610
 
7.7%
당 3792
 
6.3%
비 3073
 
5.1%
수 3020
 
5.0%
충 3018
 
5.0%
부 2945
 
4.9%
채 2627
 
4.4%
기 2478
 
4.1%
선 1861
 
3.1%
예 1765
 
2.9%
Other values (97) 30937
51.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60126
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4610
 
7.7%
당 3792
 
6.3%
비 3073
 
5.1%
수 3020
 
5.0%
충 3018
 
5.0%
부 2945
 
4.9%
채 2627
 
4.4%
기 2478
 
4.1%
선 1861
 
3.1%
예 1765
 
2.9%
Other values (97) 30937
51.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60126
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 4610
 
7.7%
당 3792
 
6.3%
비 3073
 
5.1%
수 3020
 
5.0%
충 3018
 
5.0%
부 2945
 
4.9%
채 2627
 
4.4%
기 2478
 
4.1%
선 1861
 
3.1%
예 1765
 
2.9%
Other values (97) 30937
51.5%

년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202302
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202302
2nd row202302
3rd row202302
4th row202302
5th row202302

Common Values

ValueCountFrequency (%)
202302 10000
100.0%

Length

2024-05-11T14:55:35.706867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:35.892475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202302 10000
100.0%

금액
Real number (ℝ)

ZEROS 

Distinct7274
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean79846222
Minimum-3.8900128 × 108
Maximum9.1331628 × 109
Zeros2419
Zeros (%)24.2%
Negative366
Negative (%)3.7%
Memory size166.0 KiB
2024-05-11T14:55:36.046357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.8900128 × 108
5-th percentile0
Q10
median2820777
Q337285740
95-th percentile3.8858736 × 108
Maximum9.1331628 × 109
Range9.5221641 × 109
Interquartile range (IQR)37285740

Descriptive statistics

Standard deviation3.2030266 × 108
Coefficient of variation (CV)4.0114943
Kurtosis217.63251
Mean79846222
Median Absolute Deviation (MAD)2820777
Skewness11.966017
Sum7.9846222 × 1011
Variance1.025938 × 1017
MonotonicityNot monotonic
2024-05-11T14:55:36.275799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2419
 
24.2%
250000 25
 
0.2%
500000 23
 
0.2%
300000 21
 
0.2%
1000000 14
 
0.1%
242000 10
 
0.1%
5000000 10
 
0.1%
20000000 10
 
0.1%
200000 10
 
0.1%
2000000 9
 
0.1%
Other values (7264) 7449
74.5%
ValueCountFrequency (%)
-389001283 1
< 0.1%
-320228510 1
< 0.1%
-270960260 1
< 0.1%
-267511299 1
< 0.1%
-265018532 1
< 0.1%
-225095971 1
< 0.1%
-203175750 1
< 0.1%
-195908810 1
< 0.1%
-182920300 1
< 0.1%
-178315838 1
< 0.1%
ValueCountFrequency (%)
9133162807 1
< 0.1%
8393858825 1
< 0.1%
7134274724 1
< 0.1%
6784507682 1
< 0.1%
5560181409 1
< 0.1%
5404984250 1
< 0.1%
5147081652 1
< 0.1%
4763166020 1
< 0.1%
4720150243 1
< 0.1%
4698630343 1
< 0.1%

Interactions

2024-05-11T14:55:32.057456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:55:36.403828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명금액
비용명1.0000.448
금액0.4481.000

Missing values

2024-05-11T14:55:32.255000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:55:32.428397image/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
41014올림픽훼밀리타운A13820201일반관리비충당부채2023020
26226금호두산A13380703기타당좌자산2023020
34106안암삼익A13607301비품2023025806100
31402도곡경남A13527008저장품202302200200
21424도봉삼환A13201207기타인건비충당부채2023020
21748방학신동아1단지A13202312선수수도료2023020
49028상계한양A13994302미지급금202302163908150
69331화곡대림아파트A15788302장기수선충당예금202302289800634
70529신정동일하이빌A15807315비품20230249128600
2779이편한세상서울대입구2차(5단지)A10024894수선유지비충당부채20230221748380
아파트명아파트코드비용명년월일금액
34656길음삼부A13611004기타의비유동부채2023021231200
22051쌍문금호1차아파트A13203408선수수도료2023020
35393길음서희스타힐스A13613012단기대여금20230220399055
33683삼선1SH-VILLEA13604301예수금202302743960
11166신촌럭키A12017001선급금202302649940
68323등촌삼성한사랑A15783905예금202302109278650
3818백련산 sk뷰 아이파크A10025310저장품202302957000
28555고덕현대아파트A13478601공동주택적립금202302118950404
55798대림우성A15081503연차수당충당부채2023028949886
62728신대방경남아너스빌A15601103장기수선충당예금2023021034530827