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 2313 (23.1%) zerosZeros

Reproduction

Analysis started2024-05-11 05:55:52.436742
Analysis finished2024-05-11 05:55:53.696863
Duration1.26 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2242
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:54.024907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length21
Mean length7.3946
Min length2

Characters and Unicode

Total characters73946
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

Unique110 ?
Unique (%)1.1%

Sample

1st row래미안장안
2nd row신수성원
3rd row마천우방
4th row임광관악파크
5th row목동극동늘푸른
ValueCountFrequency (%)
아파트 176
 
1.6%
래미안 43
 
0.4%
e편한세상 30
 
0.3%
래미안밤섬리베뉴 20
 
0.2%
경남아너스빌 18
 
0.2%
아이파크 18
 
0.2%
신반포 16
 
0.1%
해모로 15
 
0.1%
센트럴 14
 
0.1%
힐스테이트 13
 
0.1%
Other values (2328) 10480
96.7%
2024-05-11T14:55:54.716704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 2517
 
3.4%
파 2495
 
3.4%
트 2342
 
3.2%
지 1865
 
2.5%
대 1696
 
2.3%
동 1642
 
2.2%
차 1470
 
2.0%
신 1455
 
2.0%
단 1432
 
1.9%
이 1296
 
1.8%
Other values (424) 55736
75.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67560
91.4%
Decimal Number 3684
 
5.0%
Space Separator 926
 
1.3%
Uppercase Letter 855
 
1.2%
Lowercase Letter 371
 
0.5%
Close Punctuation 151
 
0.2%
Open Punctuation 151
 
0.2%
Dash Punctuation 121
 
0.2%
Other Punctuation 117
 
0.2%
Letter Number 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 2517
 
3.7%
파 2495
 
3.7%
트 2342
 
3.5%
지 1865
 
2.8%
대 1696
 
2.5%
동 1642
 
2.4%
차 1470
 
2.2%
신 1455
 
2.2%
단 1432
 
2.1%
이 1296
 
1.9%
Other values (379) 49350
73.0%
Uppercase Letter
ValueCountFrequency (%)
C 136
15.9%
S 133
15.6%
K 99
11.6%
M 94
11.0%
D 94
11.0%
E 44
 
5.1%
L 44
 
5.1%
H 44
 
5.1%
I 35
 
4.1%
V 27
 
3.2%
Other values (7) 105
12.3%
Lowercase Letter
ValueCountFrequency (%)
e 203
54.7%
i 36
 
9.7%
l 28
 
7.5%
v 23
 
6.2%
s 21
 
5.7%
k 18
 
4.9%
w 17
 
4.6%
c 8
 
2.2%
h 7
 
1.9%
g 5
 
1.3%
Decimal Number
ValueCountFrequency (%)
2 1084
29.4%
1 1082
29.4%
3 494
13.4%
4 258
 
7.0%
5 204
 
5.5%
6 156
 
4.2%
9 119
 
3.2%
7 110
 
3.0%
8 101
 
2.7%
0 76
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 91
77.8%
. 26
 
22.2%
Space Separator
ValueCountFrequency (%)
926
100.0%
Close Punctuation
ValueCountFrequency (%)
) 151
100.0%
Open Punctuation
ValueCountFrequency (%)
( 151
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 121
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67560
91.4%
Common 5150
 
7.0%
Latin 1236
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 2517
 
3.7%
파 2495
 
3.7%
트 2342
 
3.5%
지 1865
 
2.8%
대 1696
 
2.5%
동 1642
 
2.4%
차 1470
 
2.2%
신 1455
 
2.2%
단 1432
 
2.1%
이 1296
 
1.9%
Other values (379) 49350
73.0%
Latin
ValueCountFrequency (%)
e 203
16.4%
C 136
11.0%
S 133
10.8%
K 99
 
8.0%
M 94
 
7.6%
D 94
 
7.6%
E 44
 
3.6%
L 44
 
3.6%
H 44
 
3.6%
i 36
 
2.9%
Other values (19) 309
25.0%
Common
ValueCountFrequency (%)
2 1084
21.0%
1 1082
21.0%
926
18.0%
3 494
9.6%
4 258
 
5.0%
5 204
 
4.0%
6 156
 
3.0%
) 151
 
2.9%
( 151
 
2.9%
- 121
 
2.3%
Other values (6) 523
10.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67560
91.4%
ASCII 6376
 
8.6%
Number Forms 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 2517
 
3.7%
파 2495
 
3.7%
트 2342
 
3.5%
지 1865
 
2.8%
대 1696
 
2.5%
동 1642
 
2.4%
차 1470
 
2.2%
신 1455
 
2.2%
단 1432
 
2.1%
이 1296
 
1.9%
Other values (379) 49350
73.0%
ASCII
ValueCountFrequency (%)
2 1084
17.0%
1 1082
17.0%
926
14.5%
3 494
 
7.7%
4 258
 
4.0%
5 204
 
3.2%
e 203
 
3.2%
6 156
 
2.4%
) 151
 
2.4%
( 151
 
2.4%
Other values (34) 1667
26.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 10
100.0%

아파트코드
Text

Distinct2246
Distinct (%)22.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:55.239150image/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

Unique111 ?
Unique (%)1.1%

Sample

1st rowA13084101
2nd rowA12185504
3rd rowA13812004
4th rowA15179701
5th rowA15881601
ValueCountFrequency (%)
a13876108 13
 
0.1%
a12078704 13
 
0.1%
a15677501 12
 
0.1%
a15807706 12
 
0.1%
a15208006 12
 
0.1%
a13583507 12
 
0.1%
a13676101 11
 
0.1%
a13984003 11
 
0.1%
a13082805 11
 
0.1%
a15080204 11
 
0.1%
Other values (2236) 9882
98.8%
2024-05-11T14:55:55.977002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18356
20.4%
1 17487
19.4%
A 9982
11.1%
3 8925
9.9%
2 8384
9.3%
5 6127
 
6.8%
8 5528
 
6.1%
7 4737
 
5.3%
4 3988
 
4.4%
6 3441
 
3.8%
Other values (2) 3045
 
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 18356
22.9%
1 17487
21.9%
3 8925
11.2%
2 8384
10.5%
5 6127
 
7.7%
8 5528
 
6.9%
7 4737
 
5.9%
4 3988
 
5.0%
6 3441
 
4.3%
9 3027
 
3.8%
Uppercase Letter
ValueCountFrequency (%)
A 9982
99.8%
B 18
 
0.2%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 18356
22.9%
1 17487
21.9%
3 8925
11.2%
2 8384
10.5%
5 6127
 
7.7%
8 5528
 
6.9%
7 4737
 
5.9%
4 3988
 
5.0%
6 3441
 
4.3%
9 3027
 
3.8%
Latin
ValueCountFrequency (%)
A 9982
99.8%
B 18
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18356
20.4%
1 17487
19.4%
A 9982
11.1%
3 8925
9.9%
2 8384
9.3%
5 6127
 
6.8%
8 5528
 
6.1%
7 4737
 
5.3%
4 3988
 
4.4%
6 3441
 
3.8%
Other values (2) 3045
 
3.4%

비용명
Text

Distinct77
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:55:56.431464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.9548
Min length2

Characters and Unicode

Total characters59548
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 row주차장충당부채
2nd row주차장충당예금
3rd row관리비미수금
4th row연차수당충당부채
5th row주차장충당예금
ValueCountFrequency (%)
미처분이익잉여금 333
 
3.3%
비품 324
 
3.2%
당기순이익 321
 
3.2%
관리비미수금 321
 
3.2%
미부과관리비 316
 
3.2%
예수금 311
 
3.1%
연차수당충당부채 310
 
3.1%
예금 305
 
3.0%
장기수선충당예금 301
 
3.0%
퇴직급여충당부채 301
 
3.0%
Other values (67) 6857
68.6%
2024-05-11T14:55:57.285002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 4606
 
7.7%
당 3838
 
6.4%
비 3131
 
5.3%
수 3116
 
5.2%
충 3031
 
5.1%
부 2985
 
5.0%
채 2651
 
4.5%
기 2447
 
4.1%
선 1898
 
3.2%
예 1708
 
2.9%
Other values (97) 30137
50.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59548
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4606
 
7.7%
당 3838
 
6.4%
비 3131
 
5.3%
수 3116
 
5.2%
충 3031
 
5.1%
부 2985
 
5.0%
채 2651
 
4.5%
기 2447
 
4.1%
선 1898
 
3.2%
예 1708
 
2.9%
Other values (97) 30137
50.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59548
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4606
 
7.7%
당 3838
 
6.4%
비 3131
 
5.3%
수 3116
 
5.2%
충 3031
 
5.1%
부 2985
 
5.0%
채 2651
 
4.5%
기 2447
 
4.1%
선 1898
 
3.2%
예 1708
 
2.9%
Other values (97) 30137
50.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59548
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 4606
 
7.7%
당 3838
 
6.4%
비 3131
 
5.3%
수 3116
 
5.2%
충 3031
 
5.1%
부 2985
 
5.0%
채 2651
 
4.5%
기 2447
 
4.1%
선 1898
 
3.2%
예 1708
 
2.9%
Other values (97) 30137
50.6%

년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202305
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202305
2nd row202305
3rd row202305
4th row202305
5th row202305

Common Values

ValueCountFrequency (%)
202305 10000
100.0%

Length

2024-05-11T14:55:57.535526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:55:57.674015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202305 10000
100.0%

금액
Real number (ℝ)

ZEROS 

Distinct7381
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean74861717
Minimum-5.6924091 × 108
Maximum9.1357985 × 109
Zeros2313
Zeros (%)23.1%
Negative337
Negative (%)3.4%
Memory size166.0 KiB
2024-05-11T14:55:57.859198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5.6924091 × 108
5-th percentile0
Q10
median3338580
Q336436218
95-th percentile3.6650414 × 108
Maximum9.1357985 × 109
Range9.7050394 × 109
Interquartile range (IQR)36436218

Descriptive statistics

Standard deviation2.9052407 × 108
Coefficient of variation (CV)3.8808096
Kurtosis266.73587
Mean74861717
Median Absolute Deviation (MAD)3338580
Skewness12.632523
Sum7.4861717 × 1011
Variance8.4404234 × 1016
MonotonicityNot monotonic
2024-05-11T14:55:58.081390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2313
 
23.1%
250000 24
 
0.2%
500000 23
 
0.2%
300000 19
 
0.2%
20000000 13
 
0.1%
1000000 13
 
0.1%
50000000 12
 
0.1%
30000000 10
 
0.1%
242000 9
 
0.1%
2000000 9
 
0.1%
Other values (7371) 7555
75.5%
ValueCountFrequency (%)
-569240906 1
< 0.1%
-305657384 1
< 0.1%
-282000000 1
< 0.1%
-250338994 1
< 0.1%
-205902930 1
< 0.1%
-195908810 1
< 0.1%
-193815940 1
< 0.1%
-181451277 1
< 0.1%
-170740090 1
< 0.1%
-159862831 1
< 0.1%
ValueCountFrequency (%)
9135798497 1
< 0.1%
8509798610 1
< 0.1%
7520948106 1
< 0.1%
5726898757 1
< 0.1%
4835290235 1
< 0.1%
4604081984 1
< 0.1%
4189299278 1
< 0.1%
3975949573 1
< 0.1%
3899876302 1
< 0.1%
3446085498 1
< 0.1%

Interactions

2024-05-11T14:55:53.202752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:55:58.235363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명금액
비용명1.0000.526
금액0.5261.000

Missing values

2024-05-11T14:55:53.397626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:55:53.576041image/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
18522래미안장안A13084101주차장충당부채2023050
14244신수성원A12185504주차장충당예금2023050
40448마천우방A13812004관리비미수금20230554691785
57888임광관악파크A15179701연차수당충당부채20230521834060
71622목동극동늘푸른A15881601주차장충당예금2023050
24703마장SH-vill임대A13305005전신전화가입권2023050
63207상도더샵2차A15603009선급금20230555360
38456현대멤피스아파트A13782902복리후생비충당부채202305379150
9517황학아크로타워A10086801승강기유지비충당부채2023050
48318중계그린A13986306기타당좌자산2023053817000
아파트명아파트코드비용명년월일금액
19079신내벽산A13113002전신전화가입권202305200000
7225보라매 신동아파밀리에아파트A10027381미수금2023050
2400힐스테이트클래시안아파트A10024615미지급비용202305171539861
30315청담자이A13510007기타충당부채202305150000
34633길음뉴타운 경남아너스빌A13610107비품감가상각누계액202305-27123300
3136신촌그랑자이아파트A10025003연차수당충당부채20230575281396
58599구로두산A15205405장기수선충당예금202305883368777
56683여의도시범아파트A15089421퇴직급여충당부채202305360669843
36372길음뉴타운 데시앙A13676605선수수도료2023050
29147SK허브진주상복합아파트A13484004공동주택적립금20230554959467