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 2446 (24.5%) zerosZeros

Reproduction

Analysis started2024-05-11 05:56:37.294456
Analysis finished2024-05-11 05:56:38.487962
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

아파트명
Text

Distinct2212
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:56:38.743306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length20
Mean length7.476
Min length2

Characters and Unicode

Total characters74760
Distinct characters437
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

Unique125 ?
Unique (%)1.2%

Sample

1st row자양더샵스타시티
2nd row송천센트레빌
3rd row래미안길음1차
4th row돈암코오롱하늘채아파트
5th row대림우성
ValueCountFrequency (%)
아파트 180
 
1.7%
래미안 41
 
0.4%
e편한세상 23
 
0.2%
푸르지오 20
 
0.2%
신반포 18
 
0.2%
힐스테이트 17
 
0.2%
경남아너스빌 14
 
0.1%
래미안밤섬리베뉴 14
 
0.1%
이편한세상 14
 
0.1%
북한산 14
 
0.1%
Other values (2293) 10487
96.7%
2024-05-11T14:56:39.287019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
파 2667
 
3.6%
아 2603
 
3.5%
트 2469
 
3.3%
지 1900
 
2.5%
대 1696
 
2.3%
동 1621
 
2.2%
단 1496
 
2.0%
이 1448
 
1.9%
차 1432
 
1.9%
신 1402
 
1.9%
Other values (427) 56026
74.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 68394
91.5%
Decimal Number 3699
 
4.9%
Space Separator 916
 
1.2%
Uppercase Letter 841
 
1.1%
Lowercase Letter 334
 
0.4%
Close Punctuation 164
 
0.2%
Open Punctuation 164
 
0.2%
Other Punctuation 131
 
0.2%
Dash Punctuation 113
 
0.2%
Letter Number 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
파 2667
 
3.9%
아 2603
 
3.8%
트 2469
 
3.6%
지 1900
 
2.8%
대 1696
 
2.5%
동 1621
 
2.4%
단 1496
 
2.2%
이 1448
 
2.1%
차 1432
 
2.1%
신 1402
 
2.0%
Other values (382) 49660
72.6%
Uppercase Letter
ValueCountFrequency (%)
S 139
16.5%
C 129
15.3%
K 105
12.5%
D 90
10.7%
M 90
10.7%
H 43
 
5.1%
E 41
 
4.9%
I 38
 
4.5%
L 33
 
3.9%
A 27
 
3.2%
Other values (7) 106
12.6%
Lowercase Letter
ValueCountFrequency (%)
e 196
58.7%
l 34
 
10.2%
i 24
 
7.2%
v 20
 
6.0%
s 20
 
6.0%
k 15
 
4.5%
h 9
 
2.7%
c 8
 
2.4%
w 6
 
1.8%
g 1
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 1117
30.2%
2 1057
28.6%
3 505
13.7%
4 259
 
7.0%
5 204
 
5.5%
6 175
 
4.7%
8 113
 
3.1%
7 99
 
2.7%
9 87
 
2.4%
0 83
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 89
67.9%
. 42
32.1%
Space Separator
ValueCountFrequency (%)
916
100.0%
Close Punctuation
ValueCountFrequency (%)
) 164
100.0%
Open Punctuation
ValueCountFrequency (%)
( 164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 68394
91.5%
Common 5187
 
6.9%
Latin 1179
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
파 2667
 
3.9%
아 2603
 
3.8%
트 2469
 
3.6%
지 1900
 
2.8%
대 1696
 
2.5%
동 1621
 
2.4%
단 1496
 
2.2%
이 1448
 
2.1%
차 1432
 
2.1%
신 1402
 
2.0%
Other values (382) 49660
72.6%
Latin
ValueCountFrequency (%)
e 196
16.6%
S 139
11.8%
C 129
10.9%
K 105
 
8.9%
D 90
 
7.6%
M 90
 
7.6%
H 43
 
3.6%
E 41
 
3.5%
I 38
 
3.2%
l 34
 
2.9%
Other values (19) 274
23.2%
Common
ValueCountFrequency (%)
1 1117
21.5%
2 1057
20.4%
916
17.7%
3 505
9.7%
4 259
 
5.0%
5 204
 
3.9%
6 175
 
3.4%
) 164
 
3.2%
( 164
 
3.2%
- 113
 
2.2%
Other values (6) 513
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 68394
91.5%
ASCII 6362
 
8.5%
Number Forms 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
파 2667
 
3.9%
아 2603
 
3.8%
트 2469
 
3.6%
지 1900
 
2.8%
대 1696
 
2.5%
동 1621
 
2.4%
단 1496
 
2.2%
이 1448
 
2.1%
차 1432
 
2.1%
신 1402
 
2.0%
Other values (382) 49660
72.6%
ASCII
ValueCountFrequency (%)
1 1117
17.6%
2 1057
16.6%
916
14.4%
3 505
 
7.9%
4 259
 
4.1%
5 204
 
3.2%
e 196
 
3.1%
6 175
 
2.8%
) 164
 
2.6%
( 164
 
2.6%
Other values (34) 1605
25.2%
Number Forms
ValueCountFrequency (%)
Ⅰ 4
100.0%

아파트코드
Text

Distinct2216
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:56:39.789509image/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

Unique125 ?
Unique (%)1.2%

Sample

1st rowA14319012
2nd rowA14272313
3rd rowA13611103
4th rowA10027227
5th rowA15081503
ValueCountFrequency (%)
a12175203 13
 
0.1%
a13821004 12
 
0.1%
a13613005 12
 
0.1%
a41279902 12
 
0.1%
a13984411 12
 
0.1%
a13003404 11
 
0.1%
a11005401 11
 
0.1%
a15080002 11
 
0.1%
a13201001 11
 
0.1%
a12282203 11
 
0.1%
Other values (2206) 9884
98.8%
2024-05-11T14:56:40.663308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 18432
20.5%
1 17467
19.4%
A 9990
11.1%
3 8673
9.6%
2 8463
9.4%
5 6247
 
6.9%
8 5540
 
6.2%
7 4733
 
5.3%
4 4025
 
4.5%
6 3340
 
3.7%
Other values (2) 3090
 
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 18432
23.0%
1 17467
21.8%
3 8673
10.8%
2 8463
10.6%
5 6247
 
7.8%
8 5540
 
6.9%
7 4733
 
5.9%
4 4025
 
5.0%
6 3340
 
4.2%
9 3080
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
A 9990
99.9%
B 10
 
0.1%

Most occurring scripts

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

Most frequent character per script

Common
ValueCountFrequency (%)
0 18432
23.0%
1 17467
21.8%
3 8673
10.8%
2 8463
10.6%
5 6247
 
7.8%
8 5540
 
6.9%
7 4733
 
5.9%
4 4025
 
5.0%
6 3340
 
4.2%
9 3080
 
3.9%
Latin
ValueCountFrequency (%)
A 9990
99.9%
B 10
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 90000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 18432
20.5%
1 17467
19.4%
A 9990
11.1%
3 8673
9.6%
2 8463
9.4%
5 6247
 
6.9%
8 5540
 
6.2%
7 4733
 
5.3%
4 4025
 
4.5%
6 3340
 
3.7%
Other values (2) 3090
 
3.4%

비용명
Text

Distinct76
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-11T14:56:41.015724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length6.0115
Min length2

Characters and Unicode

Total characters60115
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 row장기수선충당예금
2nd row선급금
3rd row선수전기료
4th row기타유동부채
5th row당기순이익
ValueCountFrequency (%)
선급비용 331
 
3.3%
연차수당충당부채 329
 
3.3%
장기수선충당부채 314
 
3.1%
예금 312
 
3.1%
장기수선충당예금 311
 
3.1%
당기순이익 305
 
3.0%
관리비미수금 301
 
3.0%
미부과관리비 300
 
3.0%
퇴직급여충당부채 296
 
3.0%
가수금 290
 
2.9%
Other values (66) 6911
69.1%
2024-05-11T14:56:41.591739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
금 4502
 
7.5%
당 3969
 
6.6%
수 3148
 
5.2%
충 3120
 
5.2%
비 3047
 
5.1%
부 3040
 
5.1%
채 2729
 
4.5%
기 2638
 
4.4%
선 1937
 
3.2%
예 1717
 
2.9%
Other values (97) 30268
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60115
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 4502
 
7.5%
당 3969
 
6.6%
수 3148
 
5.2%
충 3120
 
5.2%
비 3047
 
5.1%
부 3040
 
5.1%
채 2729
 
4.5%
기 2638
 
4.4%
선 1937
 
3.2%
예 1717
 
2.9%
Other values (97) 30268
50.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60115
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 4502
 
7.5%
당 3969
 
6.6%
수 3148
 
5.2%
충 3120
 
5.2%
비 3047
 
5.1%
부 3040
 
5.1%
채 2729
 
4.5%
기 2638
 
4.4%
선 1937
 
3.2%
예 1717
 
2.9%
Other values (97) 30268
50.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60115
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
금 4502
 
7.5%
당 3969
 
6.6%
수 3148
 
5.2%
충 3120
 
5.2%
비 3047
 
5.1%
부 3040
 
5.1%
채 2729
 
4.5%
기 2638
 
4.4%
선 1937
 
3.2%
예 1717
 
2.9%
Other values (97) 30268
50.4%

년월일
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
202311
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202311
2nd row202311
3rd row202311
4th row202311
5th row202311

Common Values

ValueCountFrequency (%)
202311 10000
100.0%

Length

2024-05-11T14:56:41.834977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T14:56:41.977569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202311 10000
100.0%

금액
Real number (ℝ)

ZEROS 

Distinct7256
Distinct (%)72.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88797885
Minimum-3.9409171 × 108
Maximum8.995747 × 109
Zeros2446
Zeros (%)24.5%
Negative326
Negative (%)3.3%
Memory size166.0 KiB
2024-05-11T14:56:42.181651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3.9409171 × 108
5-th percentile0
Q10
median3608138.5
Q342267833
95-th percentile4.1742639 × 108
Maximum8.995747 × 109
Range9.3898388 × 109
Interquartile range (IQR)42267833

Descriptive statistics

Standard deviation3.5265359 × 108
Coefficient of variation (CV)3.9714188
Kurtosis180.40305
Mean88797885
Median Absolute Deviation (MAD)3608138.5
Skewness10.994588
Sum8.8797885 × 1011
Variance1.2436455 × 1017
MonotonicityNot monotonic
2024-05-11T14:56:42.420386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2446
 
24.5%
500000 24
 
0.2%
300000 20
 
0.2%
250000 17
 
0.2%
200000 11
 
0.1%
1000000 9
 
0.1%
242000 8
 
0.1%
100000 7
 
0.1%
2000000 7
 
0.1%
150000 6
 
0.1%
Other values (7246) 7445
74.5%
ValueCountFrequency (%)
-394091708 1
< 0.1%
-367281481 1
< 0.1%
-352289016 1
< 0.1%
-251753019 1
< 0.1%
-251455294 1
< 0.1%
-210103430 1
< 0.1%
-195908810 1
< 0.1%
-172559270 1
< 0.1%
-157013545 1
< 0.1%
-143720850 1
< 0.1%
ValueCountFrequency (%)
8995747044 1
< 0.1%
8933443544 1
< 0.1%
7252814199 2
< 0.1%
6965151036 1
< 0.1%
5789484606 1
< 0.1%
5602258778 1
< 0.1%
4928123207 1
< 0.1%
4890372456 1
< 0.1%
4843110091 1
< 0.1%
4589919675 1
< 0.1%

Interactions

2024-05-11T14:56:38.033394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T14:56:42.556356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비용명금액
비용명1.0000.470
금액0.4701.000

Missing values

2024-05-11T14:56:38.243852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T14:56:38.413468image/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
50991자양더샵스타시티A14319012장기수선충당예금2023114021877732
50372송천센트레빌A14272313선급금202311722200
34476래미안길음1차A13611103선수전기료2023110
6964돈암코오롱하늘채아파트A10027227기타유동부채2023110
54592대림우성A15081503당기순이익20231172475630
58632고척LIG리가아파트A15279402선수난방비2023110
5259반포써밋A10026015선수전기료202311186840
3031반포센트럴자이아파트A10024913단기보증금2023114203000
30860우성캐릭터199 아파트A13527003장기수선충당예금2023111379420600
10611홍제유원하나A12009304기타유형자산2023110
아파트명아파트코드비용명년월일금액
5705e편한세상신촌아파트A10026370퇴직급여충당부채202311215631406
66542가양9-1A15781002예금202311205882291
44407공릉태릉우성A13980009주차장충당예금2023110
40170문정래미안A13820006현금202311334230
47365중계무지개아파트A13986504기타유동부채202311-12471260
47835상계동아불암A13989701가수금202311829120
7629상도2차 두산위브트레지움 아파트A10027633선수전기료2023110
3654북한산 두산 위브A10025166장기수선충당예금202311256340249
10546인왕산벽산아파트A12009302선수전기료202311202610
66074화곡초록A15770801미수금202311241055