Overview

Dataset statistics

Number of variables5
Number of observations10000
Missing cells5
Missing cells (%)< 0.1%
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 2492 (24.9%) zerosZeros

Reproduction

Analysis started2024-05-11 05:57:36.133886
Analysis finished2024-05-11 05:57:37.177032
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2246
Distinct (%)22.5%
Missing5
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-11T14:57:37.356046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.4054027
Min length2

Characters and Unicode

Total characters74017
Distinct characters435
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

Unique135 ?
Unique (%)1.4%

Sample

1st row월계초안산쌍용
2nd row중계삼성
3rd row용마산금호어울림
4th row당산삼성래미안
5th row성수동아그린
ValueCountFrequency (%)
아파트 162
 
1.5%
래미안 36
 
0.3%
e편한세상 23
 
0.2%
sk뷰 20
 
0.2%
아이파크 20
 
0.2%
푸르지오 18
 
0.2%
고덕 16
 
0.1%
래미안밤섬리베뉴 15
 
0.1%
제기이수브라운스톤 14
 
0.1%
dmc래미안클라시스 14
 
0.1%
Other values (2327) 10415
96.9%
2024-05-11T14:57:37.835569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2548
 
3.4%
파 2469
 
3.3%
트 2353
 
3.2%
지 1885
 
2.5%
대 1735
 
2.3%
동 1680
 
2.3%
단 1483
 
2.0%
차 1467
 
2.0%
신 1435
 
1.9%
이 1365
 
1.8%
Other values (425) 55597
75.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67577
91.3%
Decimal Number 3722
 
5.0%
Uppercase Letter 936
 
1.3%
Space Separator 860
 
1.2%
Lowercase Letter 324
 
0.4%
Close Punctuation 170
 
0.2%
Open Punctuation 170
 
0.2%
Dash Punctuation 146
 
0.2%
Other Punctuation 104
 
0.1%
Letter Number 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2548
 
3.8%
파 2469
 
3.7%
트 2353
 
3.5%
지 1885
 
2.8%
대 1735
 
2.6%
동 1680
 
2.5%
단 1483
 
2.2%
차 1467
 
2.2%
신 1435
 
2.1%
이 1365
 
2.0%
Other values (380) 49157
72.7%
Uppercase Letter
ValueCountFrequency (%)
S 153
16.3%
C 133
14.2%
K 114
12.2%
D 90
9.6%
M 90
9.6%
L 67
7.2%
H 61
 
6.5%
I 46
 
4.9%
E 43
 
4.6%
V 32
 
3.4%
Other values (7) 107
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 203
62.7%
l 34
 
10.5%
i 25
 
7.7%
v 15
 
4.6%
k 11
 
3.4%
s 10
 
3.1%
h 6
 
1.9%
w 6
 
1.9%
c 6
 
1.9%
g 4
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 1104
29.7%
2 1058
28.4%
3 523
14.1%
4 261
 
7.0%
5 201
 
5.4%
6 164
 
4.4%
7 127
 
3.4%
8 110
 
3.0%
9 88
 
2.4%
0 86
 
2.3%
Other Punctuation
ValueCountFrequency (%)
, 76
73.1%
. 28
 
26.9%
Space Separator
ValueCountFrequency (%)
860
100.0%
Close Punctuation
ValueCountFrequency (%)
) 170
100.0%
Open Punctuation
ValueCountFrequency (%)
( 170
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67577
91.3%
Common 5172
 
7.0%
Latin 1268
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2548
 
3.8%
파 2469
 
3.7%
트 2353
 
3.5%
지 1885
 
2.8%
대 1735
 
2.6%
동 1680
 
2.5%
단 1483
 
2.2%
차 1467
 
2.2%
신 1435
 
2.1%
이 1365
 
2.0%
Other values (380) 49157
72.7%
Latin
ValueCountFrequency (%)
e 203
16.0%
S 153
12.1%
C 133
10.5%
K 114
9.0%
D 90
 
7.1%
M 90
 
7.1%
L 67
 
5.3%
H 61
 
4.8%
I 46
 
3.6%
E 43
 
3.4%
Other values (19) 268
21.1%
Common
ValueCountFrequency (%)
1 1104
21.3%
2 1058
20.5%
860
16.6%
3 523
10.1%
4 261
 
5.0%
5 201
 
3.9%
) 170
 
3.3%
( 170
 
3.3%
6 164
 
3.2%
- 146
 
2.8%
Other values (6) 515
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67577
91.3%
ASCII 6432
 
8.7%
Number Forms 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2548
 
3.8%
파 2469
 
3.7%
트 2353
 
3.5%
지 1885
 
2.8%
대 1735
 
2.6%
동 1680
 
2.5%
단 1483
 
2.2%
차 1467
 
2.2%
신 1435
 
2.1%
이 1365
 
2.0%
Other values (380) 49157
72.7%
ASCII
ValueCountFrequency (%)
1 1104
17.2%
2 1058
16.4%
860
13.4%
3 523
 
8.1%
4 261
 
4.1%
e 203
 
3.2%
5 201
 
3.1%
) 170
 
2.6%
( 170
 
2.6%
6 164
 
2.5%
Other values (34) 1718
26.7%
Number Forms
ValueCountFrequency (%)
Ⅰ 8
100.0%

아파트코드
Text

Distinct2252
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:57:38.239626image/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

Unique135 ?
Unique (%)1.4%

Sample

1st rowA13991017
2nd rowA13922908
3rd rowA13120701
4th rowA15004507
5th rowA13384304
ValueCountFrequency (%)
a13006003 14
 
0.1%
a13986306 13
 
0.1%
a12078704 11
 
0.1%
a13993501 11
 
0.1%
a15722108 11
 
0.1%
a13590602 11
 
0.1%
a13009003 11
 
0.1%
a15601102 11
 
0.1%
a13410011 11
 
0.1%
a13203401 10
 
0.1%
Other values (2242) 9886
98.9%
2024-05-11T14:57:38.871008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18370
20.4%
1 17509
19.5%
A 9993
11.1%
3 8842
9.8%
2 8374
9.3%
5 6038
 
6.7%
8 5603
 
6.2%
7 4797
 
5.3%
4 3955
 
4.4%
6 3457
 
3.8%
Other values (2) 3062
 
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 18370
23.0%
1 17509
21.9%
3 8842
11.1%
2 8374
10.5%
5 6038
 
7.5%
8 5603
 
7.0%
7 4797
 
6.0%
4 3955
 
4.9%
6 3457
 
4.3%
9 3055
 
3.8%
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 18370
23.0%
1 17509
21.9%
3 8842
11.1%
2 8374
10.5%
5 6038
 
7.5%
8 5603
 
7.0%
7 4797
 
6.0%
4 3955
 
4.9%
6 3457
 
4.3%
9 3055
 
3.8%
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 18370
20.4%
1 17509
19.5%
A 9993
11.1%
3 8842
9.8%
2 8374
9.3%
5 6038
 
6.7%
8 5603
 
6.2%
7 4797
 
5.3%
4 3955
 
4.4%
6 3457
 
3.8%
Other values (2) 3062
 
3.4%

비용명
Text

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:57:39.227337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.9603
Min length2

Characters and Unicode

Total characters59603
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 row퇴직급여충당부채
2nd row퇴직급여충당예금
3rd row공동체활성화단체지원적립금
4th row퇴직급여충당예금
5th row비품
ValueCountFrequency (%)
미처분이익잉여금 327
 
3.3%
예금 319
 
3.2%
퇴직급여충당부채 318
 
3.2%
선급비용 309
 
3.1%
장기수선충당부채 307
 
3.1%
관리비미수금 306
 
3.1%
당기순이익 304
 
3.0%
현금 302
 
3.0%
미부과관리비 301
 
3.0%
비품 298
 
3.0%
Other values (67) 6909
69.1%
2024-05-11T14:57:39.745827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 4553
 
7.6%
당 3762
 
6.3%
수 3092
 
5.2%
비 3077
 
5.2%
충 2985
 
5.0%
부 2960
 
5.0%
채 2645
 
4.4%
기 2521
 
4.2%
선 1910
 
3.2%
예 1666
 
2.8%
Other values (97) 30432
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59603
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4553
 
7.6%
당 3762
 
6.3%
수 3092
 
5.2%
비 3077
 
5.2%
충 2985
 
5.0%
부 2960
 
5.0%
채 2645
 
4.4%
기 2521
 
4.2%
선 1910
 
3.2%
예 1666
 
2.8%
Other values (97) 30432
51.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59603
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4553
 
7.6%
당 3762
 
6.3%
수 3092
 
5.2%
비 3077
 
5.2%
충 2985
 
5.0%
부 2960
 
5.0%
채 2645
 
4.4%
기 2521
 
4.2%
선 1910
 
3.2%
예 1666
 
2.8%
Other values (97) 30432
51.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59603
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 4553
 
7.6%
당 3762
 
6.3%
수 3092
 
5.2%
비 3077
 
5.2%
충 2985
 
5.0%
부 2960
 
5.0%
채 2645
 
4.4%
기 2521
 
4.2%
선 1910
 
3.2%
예 1666
 
2.8%
Other values (97) 30432
51.1%

년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202208
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202208
2nd row202208
3rd row202208
4th row202208
5th row202208

Common Values

ValueCountFrequency (%)
202208 10000
100.0%

Length

2024-05-11T14:57:39.990829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:57:40.139783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202208 10000
100.0%

금액
Real number (ℝ)

ZEROS 

Distinct7195
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean77700217
Minimum-3.0363899 × 108
Maximum9.0375796 × 109
Zeros2492
Zeros (%)24.9%
Negative341
Negative (%)3.4%
Memory size166.0 KiB
2024-05-11T14:57:40.308972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.0363899 × 108
5-th percentile0
Q10
median2747413
Q337263442
95-th percentile3.5384233 × 108
Maximum9.0375796 × 109
Range9.3412186 × 109
Interquartile range (IQR)37263442

Descriptive statistics

Standard deviation3.2127137 × 108
Coefficient of variation (CV)4.1347551
Kurtosis227.69578
Mean77700217
Median Absolute Deviation (MAD)2747413
Skewness12.209015
Sum7.7700217 × 1011
Variance1.0321529 × 1017
MonotonicityNot monotonic
2024-05-11T14:57:40.572565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2492
 
24.9%
250000 24
 
0.2%
500000 21
 
0.2%
300000 15
 
0.1%
20000000 15
 
0.1%
484000 11
 
0.1%
100000 10
 
0.1%
50000 10
 
0.1%
55000 9
 
0.1%
1000000 9
 
0.1%
Other values (7185) 7384
73.8%
ValueCountFrequency (%)
-303638990 1
< 0.1%
-297824450 1
< 0.1%
-248664544 1
< 0.1%
-211850660 1
< 0.1%
-198795120 1
< 0.1%
-168812690 1
< 0.1%
-167297520 1
< 0.1%
-166139100 1
< 0.1%
-145475495 1
< 0.1%
-137546331 1
< 0.1%
ValueCountFrequency (%)
9037579621 2
< 0.1%
7614782975 1
< 0.1%
6560067886 1
< 0.1%
5675267886 1
< 0.1%
5066971079 1
< 0.1%
4668714394 1
< 0.1%
4607915023 1
< 0.1%
4487136037 1
< 0.1%
4436107988 1
< 0.1%
4277091726 1
< 0.1%

Interactions

2024-05-11T14:57:36.831414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:57:40.742872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명금액
비용명1.0000.441
금액0.4411.000

Missing values

2024-05-11T14:57:36.974202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:57:37.106934image/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
48385월계초안산쌍용A13991017퇴직급여충당부채20220826409170
44138중계삼성A13922908퇴직급여충당예금20220880000000
18747용마산금호어울림A13120701공동체활성화단체지원적립금2022080
53499당산삼성래미안A15004507퇴직급여충당예금202208154555224
26193성수동아그린A13384304비품2022085634220
67003가양우성A15780002기타시설운영충당부채2022085272528
19435면목늘푸른동아아파트A13183504비품감가상각누계액202208-4273060
62116신대방경남교수A15601102퇴직급여충당예금20220815259515
68143염창극동A15786111미지급비용20220817561900
47054월계사슴3단지A13984411현금202208419240
아파트명아파트코드비용명년월일금액
8678충무로진양A10086301선급비용2022082103702
46684대망드림힐A13983801예수금202208619947
72138은평뉴타운우물골5단지A41279916선급비용2022088644250
68151염창극동A15786111연차수당충당부채20220810981576
67958마곡한숲대림아파트A15785703공동주택적립금20220811183814
1350위례포레샤인13단지아파트A10024492퇴직급여충당부채20220844105500
7167래미안 대치 팰리스A10027800비품감가상각누계액202208-168812690
24982래미안옥수리버젠A13375907선수전기료2022084474500
66445방화1단지(장미)A15722307장기수선충당부채적립금2022080
68237염창태진한솔A15786222현금202208121480