Overview

Dataset statistics

Number of variables3
Number of observations814
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.1%
Total size in memory19.2 KiB
Average record size in memory24.2 B

Variable types

Text3

Dataset

Description서울특별시 성동구 내에 위치한 미용업소 대한 현황 자료입니다. 업소명, 도로명주소, 소재지 전화번호 등의 정보를 포함하고 있습니다.
Author서울특별시 성동구
URLhttps://www.data.go.kr/data/15038119/fileData.do

Alerts

Dataset has 1 (0.1%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 01:26:28.952862
Analysis finished2023-12-12 01:26:29.710757
Duration0.76 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct793
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T10:26:29.979766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length29
Mean length6.7555283
Min length1

Characters and Unicode

Total characters5499
Distinct characters509
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique774 ?
Unique (%)95.1%

Sample

1st row선
2nd row흙
3rd row심's 헤어
4th row김용희헤어
5th row아담
ValueCountFrequency (%)
헤어 23
 
2.1%
hair 15
 
1.3%
네일 12
 
1.1%
왕십리점 9
 
0.8%
성수점 7
 
0.6%
beauty 6
 
0.5%
salon 6
 
0.5%
nail 6
 
0.5%
리안헤어 5
 
0.4%
금호점 5
 
0.4%
Other values (946) 1021
91.6%
2023-12-12T10:26:30.480263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
301
 
5.5%
어 287
 
5.2%
헤 268
 
4.9%
리 124
 
2.3%
일 116
 
2.1%
네 115
 
2.1%
) 113
 
2.1%
( 113
 
2.1%
스 103
 
1.9%
이 101
 
1.8%
Other values (499) 3858
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4049
73.6%
Uppercase Letter 421
 
7.7%
Lowercase Letter 412
 
7.5%
Space Separator 301
 
5.5%
Close Punctuation 113
 
2.1%
Open Punctuation 113
 
2.1%
Decimal Number 46
 
0.8%
Other Punctuation 40
 
0.7%
Dash Punctuation 2
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
어 287
 
7.1%
헤 268
 
6.6%
리 124
 
3.1%
일 116
 
2.9%
네 115
 
2.8%
스 103
 
2.5%
이 101
 
2.5%
미 82
 
2.0%
아 70
 
1.7%
점 63
 
1.6%
Other values (426) 2720
67.2%
Uppercase Letter
ValueCountFrequency (%)
A 50
 
11.9%
I 35
 
8.3%
E 32
 
7.6%
S 31
 
7.4%
N 27
 
6.4%
O 26
 
6.2%
L 26
 
6.2%
R 22
 
5.2%
H 19
 
4.5%
M 18
 
4.3%
Other values (15) 135
32.1%
Lowercase Letter
ValueCountFrequency (%)
a 59
14.3%
e 42
10.2%
i 37
9.0%
l 34
 
8.3%
n 32
 
7.8%
o 30
 
7.3%
r 26
 
6.3%
t 24
 
5.8%
s 20
 
4.9%
y 19
 
4.6%
Other values (14) 89
21.6%
Other Punctuation
ValueCountFrequency (%)
. 13
32.5%
, 10
25.0%
& 6
15.0%
# 3
 
7.5%
' 3
 
7.5%
: 2
 
5.0%
; 1
 
2.5%
! 1
 
2.5%
· 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
0 11
23.9%
2 11
23.9%
1 6
13.0%
4 5
10.9%
6 4
 
8.7%
8 3
 
6.5%
9 3
 
6.5%
3 2
 
4.3%
5 1
 
2.2%
Space Separator
ValueCountFrequency (%)
301
100.0%
Close Punctuation
ValueCountFrequency (%)
) 113
100.0%
Open Punctuation
ValueCountFrequency (%)
( 113
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4045
73.6%
Latin 833
 
15.1%
Common 617
 
11.2%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
어 287
 
7.1%
헤 268
 
6.6%
리 124
 
3.1%
일 116
 
2.9%
네 115
 
2.8%
스 103
 
2.5%
이 101
 
2.5%
미 82
 
2.0%
아 70
 
1.7%
점 63
 
1.6%
Other values (422) 2716
67.1%
Latin
ValueCountFrequency (%)
a 59
 
7.1%
A 50
 
6.0%
e 42
 
5.0%
i 37
 
4.4%
I 35
 
4.2%
l 34
 
4.1%
n 32
 
3.8%
E 32
 
3.8%
S 31
 
3.7%
o 30
 
3.6%
Other values (39) 451
54.1%
Common
ValueCountFrequency (%)
301
48.8%
) 113
 
18.3%
( 113
 
18.3%
. 13
 
2.1%
0 11
 
1.8%
2 11
 
1.8%
, 10
 
1.6%
& 6
 
1.0%
1 6
 
1.0%
4 5
 
0.8%
Other values (14) 28
 
4.5%
Han
ValueCountFrequency (%)
花 1
25.0%
龍 1
25.0%
智 1
25.0%
樂 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4045
73.6%
ASCII 1449
 
26.4%
CJK 3
 
0.1%
CJK Compat Ideographs 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
301
20.8%
) 113
 
7.8%
( 113
 
7.8%
a 59
 
4.1%
A 50
 
3.5%
e 42
 
2.9%
i 37
 
2.6%
I 35
 
2.4%
l 34
 
2.3%
n 32
 
2.2%
Other values (62) 633
43.7%
Hangul
ValueCountFrequency (%)
어 287
 
7.1%
헤 268
 
6.6%
리 124
 
3.1%
일 116
 
2.9%
네 115
 
2.8%
스 103
 
2.5%
이 101
 
2.5%
미 82
 
2.0%
아 70
 
1.7%
점 63
 
1.6%
Other values (422) 2716
67.1%
CJK
ValueCountFrequency (%)
花 1
33.3%
龍 1
33.3%
智 1
33.3%
CJK Compat Ideographs
ValueCountFrequency (%)
樂 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

도로명주소
Text

Distinct801
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T10:26:30.828134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length51
Mean length34.663391
Min length9

Characters and Unicode

Total characters28216
Distinct characters254
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

Unique791 ?
Unique (%)97.2%

Sample

1st row서울특별시 성동구 왕십리로22길 9 (도선동)
2nd row서울특별시 성동구 고산자로6길 24 (행당동)
3rd row서울특별시 성동구 사근동길 63 (사근동,1층)
4th row서울특별시 성동구 아차산로7길 28 (성수동2가,뚝도시장내)
5th row서울특별시 성동구 금호산2길 30-1 (금호동3가)
ValueCountFrequency (%)
서울특별시 810
 
14.8%
성동구 810
 
14.8%
1층 255
 
4.7%
행당동 128
 
2.3%
2층 126
 
2.3%
왕십리로 97
 
1.8%
성수동1가 96
 
1.8%
성수동2가 91
 
1.7%
하왕십리동 86
 
1.6%
독서당로 48
 
0.9%
Other values (946) 2917
53.4%
2023-12-12T10:26:31.333111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4651
 
16.5%
동 1839
 
6.5%
1 1516
 
5.4%
성 1127
 
4.0%
, 929
 
3.3%
서 898
 
3.2%
2 886
 
3.1%
) 846
 
3.0%
( 846
 
3.0%
울 838
 
3.0%
Other values (244) 13840
49.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15913
56.4%
Decimal Number 4658
 
16.5%
Space Separator 4651
 
16.5%
Other Punctuation 931
 
3.3%
Close Punctuation 846
 
3.0%
Open Punctuation 846
 
3.0%
Dash Punctuation 187
 
0.7%
Uppercase Letter 140
 
0.5%
Lowercase Letter 35
 
0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1839
 
11.6%
성 1127
 
7.1%
서 898
 
5.6%
울 838
 
5.3%
구 817
 
5.1%
시 814
 
5.1%
별 810
 
5.1%
특 810
 
5.1%
층 622
 
3.9%
로 569
 
3.6%
Other values (197) 6769
42.5%
Uppercase Letter
ValueCountFrequency (%)
B 32
22.9%
L 19
13.6%
C 17
12.1%
E 12
 
8.6%
A 10
 
7.1%
I 9
 
6.4%
J 7
 
5.0%
K 6
 
4.3%
T 5
 
3.6%
R 5
 
3.6%
Other values (7) 18
12.9%
Decimal Number
ValueCountFrequency (%)
1 1516
32.5%
2 886
19.0%
3 490
 
10.5%
0 436
 
9.4%
4 359
 
7.7%
5 225
 
4.8%
6 222
 
4.8%
7 210
 
4.5%
8 173
 
3.7%
9 141
 
3.0%
Lowercase Letter
ValueCountFrequency (%)
e 8
22.9%
a 6
17.1%
o 5
14.3%
w 4
11.4%
r 4
11.4%
l 2
 
5.7%
z 2
 
5.7%
b 2
 
5.7%
y 1
 
2.9%
c 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
, 929
99.8%
. 1
 
0.1%
@ 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 4
44.4%
> 4
44.4%
~ 1
 
11.1%
Space Separator
ValueCountFrequency (%)
4651
100.0%
Close Punctuation
ValueCountFrequency (%)
) 846
100.0%
Open Punctuation
ValueCountFrequency (%)
( 846
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 187
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15913
56.4%
Common 12128
43.0%
Latin 175
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1839
 
11.6%
성 1127
 
7.1%
서 898
 
5.6%
울 838
 
5.3%
구 817
 
5.1%
시 814
 
5.1%
별 810
 
5.1%
특 810
 
5.1%
층 622
 
3.9%
로 569
 
3.6%
Other values (197) 6769
42.5%
Latin
ValueCountFrequency (%)
B 32
18.3%
L 19
 
10.9%
C 17
 
9.7%
E 12
 
6.9%
A 10
 
5.7%
I 9
 
5.1%
e 8
 
4.6%
J 7
 
4.0%
K 6
 
3.4%
a 6
 
3.4%
Other values (17) 49
28.0%
Common
ValueCountFrequency (%)
4651
38.3%
1 1516
 
12.5%
, 929
 
7.7%
2 886
 
7.3%
) 846
 
7.0%
( 846
 
7.0%
3 490
 
4.0%
0 436
 
3.6%
4 359
 
3.0%
5 225
 
1.9%
Other values (10) 944
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15913
56.4%
ASCII 12303
43.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4651
37.8%
1 1516
 
12.3%
, 929
 
7.6%
2 886
 
7.2%
) 846
 
6.9%
( 846
 
6.9%
3 490
 
4.0%
0 436
 
3.5%
4 359
 
2.9%
5 225
 
1.8%
Other values (37) 1119
 
9.1%
Hangul
ValueCountFrequency (%)
동 1839
 
11.6%
성 1127
 
7.1%
서 898
 
5.6%
울 838
 
5.3%
구 817
 
5.1%
시 814
 
5.1%
별 810
 
5.1%
특 810
 
5.1%
층 622
 
3.9%
로 569
 
3.6%
Other values (197) 6769
42.5%

지번주소
Text

Distinct662
Distinct (%)81.3%
Missing0
Missing (%)0.0%
Memory size6.5 KiB
2023-12-12T10:26:31.643682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length23.68059
Min length16

Characters and Unicode

Total characters19276
Distinct characters247
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique594 ?
Unique (%)73.0%

Sample

1st row서울특별시 성동구 도선동 141-0
2nd row서울특별시 성동구 행당동 117-43
3rd row서울특별시 성동구 사근동 204-9 1층
4th row서울특별시 성동구 성수동2가 289-4 뚝도시장내
5th row서울특별시 성동구 금호동3가 339-2
ValueCountFrequency (%)
서울특별시 814
21.2%
성동구 814
21.2%
행당동 147
 
3.8%
성수동2가 104
 
2.7%
성수동1가 101
 
2.6%
하왕십리동 94
 
2.4%
지상1층 63
 
1.6%
옥수동 51
 
1.3%
도선동 41
 
1.1%
금호동4가 39
 
1.0%
Other values (830) 1578
41.0%
2023-12-12T10:26:32.172809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3036
 
15.8%
동 1703
 
8.8%
성 1065
 
5.5%
1 879
 
4.6%
울 835
 
4.3%
서 834
 
4.3%
시 815
 
4.2%
특 814
 
4.2%
별 814
 
4.2%
구 814
 
4.2%
Other values (237) 7667
39.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11547
59.9%
Decimal Number 3974
 
20.6%
Space Separator 3036
 
15.8%
Dash Punctuation 510
 
2.6%
Uppercase Letter 66
 
0.3%
Close Punctuation 48
 
0.2%
Open Punctuation 48
 
0.2%
Lowercase Letter 38
 
0.2%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 1703
14.7%
성 1065
 
9.2%
울 835
 
7.2%
서 834
 
7.2%
시 815
 
7.1%
특 814
 
7.0%
별 814
 
7.0%
구 814
 
7.0%
가 395
 
3.4%
수 285
 
2.5%
Other values (191) 3173
27.5%
Uppercase Letter
ValueCountFrequency (%)
B 8
12.1%
K 7
 
10.6%
T 6
 
9.1%
V 5
 
7.6%
S 5
 
7.6%
L 4
 
6.1%
C 4
 
6.1%
R 3
 
4.5%
I 3
 
4.5%
O 3
 
4.5%
Other values (9) 18
27.3%
Decimal Number
ValueCountFrequency (%)
1 879
22.1%
2 542
13.6%
3 485
12.2%
6 382
9.6%
0 364
9.2%
4 288
 
7.2%
7 283
 
7.1%
5 280
 
7.0%
9 247
 
6.2%
8 224
 
5.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
23.7%
o 6
15.8%
a 6
15.8%
w 5
13.2%
r 5
13.2%
z 2
 
5.3%
l 2
 
5.3%
y 1
 
2.6%
b 1
 
2.6%
c 1
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 5
55.6%
@ 3
33.3%
. 1
 
11.1%
Space Separator
ValueCountFrequency (%)
3036
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 510
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11547
59.9%
Common 7625
39.6%
Latin 104
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 1703
14.7%
성 1065
 
9.2%
울 835
 
7.2%
서 834
 
7.2%
시 815
 
7.1%
특 814
 
7.0%
별 814
 
7.0%
구 814
 
7.0%
가 395
 
3.4%
수 285
 
2.5%
Other values (191) 3173
27.5%
Latin
ValueCountFrequency (%)
e 9
 
8.7%
B 8
 
7.7%
K 7
 
6.7%
T 6
 
5.8%
o 6
 
5.8%
a 6
 
5.8%
V 5
 
4.8%
S 5
 
4.8%
w 5
 
4.8%
r 5
 
4.8%
Other values (19) 42
40.4%
Common
ValueCountFrequency (%)
3036
39.8%
1 879
 
11.5%
2 542
 
7.1%
- 510
 
6.7%
3 485
 
6.4%
6 382
 
5.0%
0 364
 
4.8%
4 288
 
3.8%
7 283
 
3.7%
5 280
 
3.7%
Other values (7) 576
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11547
59.9%
ASCII 7729
40.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3036
39.3%
1 879
 
11.4%
2 542
 
7.0%
- 510
 
6.6%
3 485
 
6.3%
6 382
 
4.9%
0 364
 
4.7%
4 288
 
3.7%
7 283
 
3.7%
5 280
 
3.6%
Other values (36) 680
 
8.8%
Hangul
ValueCountFrequency (%)
동 1703
14.7%
성 1065
 
9.2%
울 835
 
7.2%
서 834
 
7.2%
시 815
 
7.1%
특 814
 
7.0%
별 814
 
7.0%
구 814
 
7.0%
가 395
 
3.4%
수 285
 
2.5%
Other values (191) 3173
27.5%

Missing values

2023-12-12T10:26:29.554975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T10:26:29.668514image/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

업소명도로명주소지번주소
0선서울특별시 성동구 왕십리로22길 9 (도선동)서울특별시 성동구 도선동 141-0
1흙서울특별시 성동구 고산자로6길 24 (행당동)서울특별시 성동구 행당동 117-43
2심's 헤어서울특별시 성동구 사근동길 63 (사근동,1층)서울특별시 성동구 사근동 204-9 1층
3김용희헤어서울특별시 성동구 아차산로7길 28 (성수동2가,뚝도시장내)서울특별시 성동구 성수동2가 289-4 뚝도시장내
4아담서울특별시 성동구 금호산2길 30-1 (금호동3가)서울특별시 성동구 금호동3가 339-2
5소연서울특별시 성동구 동호로2길 11 (금호동4가)서울특별시 성동구 금호동4가 1408-2
6춤추는 가위서울특별시 성동구 성수일로4길 2, 지상1층 (성수동1가)서울특별시 성동구 성수동1가 27-1
7경희서울특별시 성동구 왕십리로31나길 27 (하왕십리동,지상 1층)서울특별시 성동구 하왕십리동 890-107 지상 1층
8행당서울특별시 성동구 왕십리로21길 28 (행당동)서울특별시 성동구 행당동 299-6
9한양서울특별시 성동구 마조로1길 26-5 (행당동)서울특별시 성동구 행당동 19-64
업소명도로명주소지번주소
804찬아보떼서울특별시 성동구 금호로 40, 상가동 지하1층 34호 (금호동4가, 힐스테이트 서울숲리버)서울특별시 성동구 금호동4가 1553 힐스테이트 서울숲리버
805루미가넷 네일죤서울특별시 성동구 뚝섬로 379, 2층 (성수동2가)서울특별시 성동구 성수동2가 333-16 이마트성수점 2층
806마지안서울특별시 성동구 성수일로4길 33, 2층 (성수동2가)서울특별시 성동구 성수동2가 333-77
807옥수네일라뜰리에왁싱서울특별시 성동구 독서당로 223, 래미안 옥수 리버젠 상가 제지4층 416호 (옥수동)서울특별시 성동구 옥수동 561 래미안 옥수 리버젠 상가
808온야드서울특별시 성동구 왕십리로 66-10, 2, 3층 (성수동1가)서울특별시 성동구 성수동1가 656-462
809네일쥬스서울특별시 성동구 왕십리로 410, C동 2층 203호 (하왕십리동, 센트라스)서울특별시 성동구 하왕십리동 1070 센트라스
810네일살롱 바이선하(NAIL SALON by Sunha)서울특별시 성동구 금호로 40, 상가동 지하2층 20-5호 (금호동4가, 힐스테이트 서울숲리버)서울특별시 성동구 금호동4가 1553 힐스테이트 서울숲리버
811꽃단장서울특별시 성동구 무학로12길 12, 1층 (홍익동)서울특별시 성동구 홍익동 96
812뷰티하임서울특별시 성동구 왕십리로 320, 4층 402호 (도선동)서울특별시 성동구 도선동 46 W에비뉴타워
813모드네일서울특별시 성동구 마장로 137, 1층 163호 (상왕십리동, 텐즈힐)서울특별시 성동구 상왕십리동 811 텐즈힐

Duplicate rows

Most frequently occurring

업소명도로명주소지번주소# duplicates
0어썸미 beauty서울특별시 성동구 왕십리로24길 17-1, 2층 (도선동)서울특별시 성동구 도선동 1932