Overview

Dataset statistics

Number of variables4
Number of observations217
Missing cells39
Missing cells (%)4.5%
Duplicate rows2
Duplicate rows (%)0.9%
Total size in memory6.9 KiB
Average record size in memory32.6 B

Variable types

Text3
Categorical1

Dataset

Description서울특별시 서초구 관내 위치한 골프연습장에 대한 상호명, 시설주소(도로명주소), 전화번호 등에 관한 정보입니다.
Author서울특별시 서초구
URLhttps://www.data.go.kr/data/15113623/fileData.do

Alerts

Dataset has 2 (0.9%) duplicate rowsDuplicates
시설전화번호 has 39 (18.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:18:48.617780
Analysis finished2023-12-12 13:18:49.054720
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

Distinct210
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T22:18:49.263644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length7.843318
Min length2

Characters and Unicode

Total characters1702
Distinct characters263
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique205 ?
Unique (%)94.5%

Sample

1st row갤럭시아골프클럽 더케이호텔점
2nd row파스텔골프클럽(실외)
3rd row골프 9
4th row플라이 짐
5th row드림300야드골프
ValueCountFrequency (%)
골프 8
 
2.6%
골프아카데미 7
 
2.3%
골프존파크 6
 
2.0%
레인지엑스 5
 
1.6%
주식회사 4
 
1.3%
아카데미 4
 
1.3%
골프존 4
 
1.3%
반포 3
 
1.0%
dk스크린골프 3
 
1.0%
서래 3
 
1.0%
Other values (243) 257
84.5%
2023-12-12T22:18:49.689710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
161
 
9.5%
154
 
9.0%
104
 
6.1%
87
 
5.1%
62
 
3.6%
54
 
3.2%
38
 
2.2%
37
 
2.2%
32
 
1.9%
32
 
1.9%
Other values (253) 941
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1451
85.3%
Uppercase Letter 106
 
6.2%
Space Separator 87
 
5.1%
Open Punctuation 13
 
0.8%
Close Punctuation 13
 
0.8%
Other Punctuation 11
 
0.6%
Decimal Number 10
 
0.6%
Lowercase Letter 10
 
0.6%
Letter Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
161
 
11.1%
154
 
10.6%
104
 
7.2%
62
 
4.3%
54
 
3.7%
38
 
2.6%
37
 
2.5%
32
 
2.2%
32
 
2.2%
30
 
2.1%
Other values (205) 747
51.5%
Uppercase Letter
ValueCountFrequency (%)
G 14
13.2%
S 12
 
11.3%
T 7
 
6.6%
K 7
 
6.6%
A 6
 
5.7%
C 6
 
5.7%
E 5
 
4.7%
D 5
 
4.7%
P 5
 
4.7%
O 5
 
4.7%
Other values (15) 34
32.1%
Lowercase Letter
ValueCountFrequency (%)
f 2
20.0%
t 1
10.0%
r 1
10.0%
e 1
10.0%
h 1
10.0%
m 1
10.0%
l 1
10.0%
o 1
10.0%
a 1
10.0%
Decimal Number
ValueCountFrequency (%)
0 3
30.0%
2 3
30.0%
3 1
 
10.0%
9 1
 
10.0%
5 1
 
10.0%
4 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
& 4
36.4%
, 1
 
9.1%
· 1
 
9.1%
Space Separator
ValueCountFrequency (%)
87
100.0%
Open Punctuation
ValueCountFrequency (%)
( 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Letter Number
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1451
85.3%
Common 134
 
7.9%
Latin 117
 
6.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
161
 
11.1%
154
 
10.6%
104
 
7.2%
62
 
4.3%
54
 
3.7%
38
 
2.6%
37
 
2.5%
32
 
2.2%
32
 
2.2%
30
 
2.1%
Other values (205) 747
51.5%
Latin
ValueCountFrequency (%)
G 14
 
12.0%
S 12
 
10.3%
T 7
 
6.0%
K 7
 
6.0%
A 6
 
5.1%
C 6
 
5.1%
E 5
 
4.3%
D 5
 
4.3%
P 5
 
4.3%
O 5
 
4.3%
Other values (25) 45
38.5%
Common
ValueCountFrequency (%)
87
64.9%
( 13
 
9.7%
) 13
 
9.7%
. 5
 
3.7%
& 4
 
3.0%
0 3
 
2.2%
2 3
 
2.2%
, 1
 
0.7%
3 1
 
0.7%
9 1
 
0.7%
Other values (3) 3
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1451
85.3%
ASCII 249
 
14.6%
Number Forms 1
 
0.1%
None 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
161
 
11.1%
154
 
10.6%
104
 
7.2%
62
 
4.3%
54
 
3.7%
38
 
2.6%
37
 
2.5%
32
 
2.2%
32
 
2.2%
30
 
2.1%
Other values (205) 747
51.5%
ASCII
ValueCountFrequency (%)
87
34.9%
G 14
 
5.6%
( 13
 
5.2%
) 13
 
5.2%
S 12
 
4.8%
T 7
 
2.8%
K 7
 
2.8%
A 6
 
2.4%
C 6
 
2.4%
E 5
 
2.0%
Other values (36) 79
31.7%
Number Forms
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct211
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T22:18:49.912617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length45
Mean length32.824885
Min length22

Characters and Unicode

Total characters7123
Distinct characters199
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

Unique207 ?
Unique (%)95.4%

Sample

1st row서울특별시 서초구 바우뫼로12길 70 (양재동)
2nd row서울특별시 서초구 신반포로33길 23 (잠원동)
3rd row서울특별시 서초구 효령로52길 42 (서초동,1.2층)
4th row서울특별시 서초구 서운로 3 (서초동,(지하1층))
5th row서울특별시 서초구 사평대로 16 (방배동,(2층))
ValueCountFrequency (%)
서울특별시 217
 
16.6%
서초구 217
 
16.6%
지하1층 43
 
3.3%
서초동 42
 
3.2%
방배동 26
 
2.0%
반포동 21
 
1.6%
방배로 17
 
1.3%
양재동 16
 
1.2%
지층 15
 
1.1%
효령로 14
 
1.1%
Other values (418) 680
52.0%
2023-12-12T22:18:50.283102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1097
 
15.4%
578
 
8.1%
352
 
4.9%
1 283
 
4.0%
( 274
 
3.8%
) 273
 
3.8%
, 239
 
3.4%
238
 
3.3%
218
 
3.1%
218
 
3.1%
Other values (189) 3353
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4162
58.4%
Space Separator 1097
 
15.4%
Decimal Number 1011
 
14.2%
Open Punctuation 274
 
3.8%
Close Punctuation 273
 
3.8%
Other Punctuation 243
 
3.4%
Uppercase Letter 40
 
0.6%
Dash Punctuation 21
 
0.3%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
578
 
13.9%
352
 
8.5%
238
 
5.7%
218
 
5.2%
218
 
5.2%
218
 
5.2%
218
 
5.2%
217
 
5.2%
217
 
5.2%
179
 
4.3%
Other values (163) 1509
36.3%
Decimal Number
ValueCountFrequency (%)
1 283
28.0%
2 154
15.2%
3 112
 
11.1%
0 99
 
9.8%
4 90
 
8.9%
5 64
 
6.3%
7 60
 
5.9%
6 60
 
5.9%
8 46
 
4.5%
9 43
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 30
75.0%
S 2
 
5.0%
H 2
 
5.0%
D 2
 
5.0%
N 1
 
2.5%
K 1
 
2.5%
A 1
 
2.5%
G 1
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 239
98.4%
. 2
 
0.8%
/ 2
 
0.8%
Space Separator
ValueCountFrequency (%)
1097
100.0%
Open Punctuation
ValueCountFrequency (%)
( 274
100.0%
Close Punctuation
ValueCountFrequency (%)
) 273
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4162
58.4%
Common 2921
41.0%
Latin 40
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
578
 
13.9%
352
 
8.5%
238
 
5.7%
218
 
5.2%
218
 
5.2%
218
 
5.2%
218
 
5.2%
217
 
5.2%
217
 
5.2%
179
 
4.3%
Other values (163) 1509
36.3%
Common
ValueCountFrequency (%)
1097
37.6%
1 283
 
9.7%
( 274
 
9.4%
) 273
 
9.3%
, 239
 
8.2%
2 154
 
5.3%
3 112
 
3.8%
0 99
 
3.4%
4 90
 
3.1%
5 64
 
2.2%
Other values (8) 236
 
8.1%
Latin
ValueCountFrequency (%)
B 30
75.0%
S 2
 
5.0%
H 2
 
5.0%
D 2
 
5.0%
N 1
 
2.5%
K 1
 
2.5%
A 1
 
2.5%
G 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4162
58.4%
ASCII 2961
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1097
37.0%
1 283
 
9.6%
( 274
 
9.3%
) 273
 
9.2%
, 239
 
8.1%
2 154
 
5.2%
3 112
 
3.8%
0 99
 
3.3%
4 90
 
3.0%
5 64
 
2.2%
Other values (16) 276
 
9.3%
Hangul
ValueCountFrequency (%)
578
 
13.9%
352
 
8.5%
238
 
5.7%
218
 
5.2%
218
 
5.2%
218
 
5.2%
218
 
5.2%
217
 
5.2%
217
 
5.2%
179
 
4.3%
Other values (163) 1509
36.3%

시설전화번호
Text

MISSING 

Distinct170
Distinct (%)95.5%
Missing39
Missing (%)18.0%
Memory size1.8 KiB
2023-12-12T22:18:50.552733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.258427
Min length11

Characters and Unicode

Total characters2004
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique165 ?
Unique (%)92.7%

Sample

1st row02-595-0011
2nd row02-588-5557
3rd row02-3474-8974
4th row02-590-9450
5th row02-593-1330
ValueCountFrequency (%)
02-591-1872 4
 
2.2%
02-521-3336 3
 
1.7%
02-548-6386 2
 
1.1%
02-529-6668 2
 
1.1%
02-585-0753 2
 
1.1%
02-592-3327 1
 
0.6%
02-599-5574 1
 
0.6%
02-593-2030 1
 
0.6%
02-586-8807 1
 
0.6%
02-599-0103 1
 
0.6%
Other values (160) 160
89.9%
2023-12-12T22:18:51.101732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 356
17.8%
0 311
15.5%
2 296
14.8%
5 234
11.7%
7 157
7.8%
3 142
 
7.1%
8 132
 
6.6%
1 101
 
5.0%
4 101
 
5.0%
9 97
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1648
82.2%
Dash Punctuation 356
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 311
18.9%
2 296
18.0%
5 234
14.2%
7 157
9.5%
3 142
8.6%
8 132
8.0%
1 101
 
6.1%
4 101
 
6.1%
9 97
 
5.9%
6 77
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 356
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2004
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 356
17.8%
0 311
15.5%
2 296
14.8%
5 234
11.7%
7 157
7.8%
3 142
 
7.1%
8 132
 
6.6%
1 101
 
5.0%
4 101
 
5.0%
9 97
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2004
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 356
17.8%
0 311
15.5%
2 296
14.8%
5 234
11.7%
7 157
7.8%
3 142
 
7.1%
8 132
 
6.6%
1 101
 
5.0%
4 101
 
5.0%
9 97
 
4.8%

시설유형
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
실내 골프연습장
135 
가상체험체육시설(골프)
59 
실외 골프연습장
23 

Length

Max length12
Median length8
Mean length9.0875576
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실외 골프연습장
2nd row실외 골프연습장
3rd row실외 골프연습장
4th row실외 골프연습장
5th row실외 골프연습장

Common Values

ValueCountFrequency (%)
실내 골프연습장 135
62.2%
가상체험체육시설(골프) 59
27.2%
실외 골프연습장 23
 
10.6%

Length

2023-12-12T22:18:51.283168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:18:51.432729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골프연습장 158
42.1%
실내 135
36.0%
가상체험체육시설(골프 59
 
15.7%
실외 23
 
6.1%

Missing values

2023-12-12T22:18:48.923018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:18:49.012290image/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

상호시설주소(도로명)시설전화번호시설유형
0갤럭시아골프클럽 더케이호텔점서울특별시 서초구 바우뫼로12길 70 (양재동)<NA>실외 골프연습장
1파스텔골프클럽(실외)서울특별시 서초구 신반포로33길 23 (잠원동)02-595-0011실외 골프연습장
2골프 9서울특별시 서초구 효령로52길 42 (서초동,1.2층)02-588-5557실외 골프연습장
3플라이 짐서울특별시 서초구 서운로 3 (서초동,(지하1층))02-3474-8974실외 골프연습장
4드림300야드골프서울특별시 서초구 사평대로 16 (방배동,(2층))02-590-9450실외 골프연습장
5구옥희골프아카데미서울특별시 서초구 사평대로19길 11 (반포동,(2층))02-593-1330실외 골프연습장
6W.PGA아카데미서울특별시 서초구 서운로 220 (서초동,,3,13 (2층))02-3444-3456실외 골프연습장
7딸기짐서울특별시 서초구 동작대로 172 (방배동,,25,26 (4층))02-3476-1291실외 골프연습장
8J.M스크린골프서울특별시 서초구 서초중앙로 58 (서초동,,4 (지하3층 B301,B302호))02-3471-0755실외 골프연습장
9GYM승서울특별시 서초구 효령로 321 (서초동,(지하2층))02-3472-3838실외 골프연습장
상호시설주소(도로명)시설전화번호시설유형
207팀 원 골프스쿨서울특별시 서초구 사평대로28길 63, 지하1층 (반포동)<NA>가상체험체육시설(골프)
208와이지 골프 아카데미서울특별시 서초구 성촌1길 6, 2층, 지하1층 (우면동)02-575-1707가상체험체육시설(골프)
209(주)세영씨앤유 더레인지서울특별시 서초구 강남대로 545-9, 지하1층 (반포동)02-548-6386가상체험체육시설(골프)
210큐이디 골프아카데미 서초역점서울특별시 서초구 반포대로27길 13, 지하1층 B1호 (서초동, 서초꽃마을 주얼리)02-585-2646가상체험체육시설(골프)
211(주)골프에 반하다서울특별시 서초구 방배로 118, 3층 (방배동)02-587-8482가상체험체육시설(골프)
212골프존파크 서초뱅뱅사거리점서울특별시 서초구 효령로 431, B1층 (서초동)02-583-0708가상체험체육시설(골프)
213더트랙서울특별시 서초구 서초대로64길 76-21, 삼성라이온즈레포츠센타 B1층 (서초동)<NA>가상체험체육시설(골프)
214주식회사 골프인잠원서울특별시 서초구 잠원로 94, 1층 (잠원동, 한신빌딩)02-595-1072가상체험체육시설(골프)
215세븐투 골프 아카데미서울특별시 서초구 청계산로9길 70, 내곡 SH 플라자 1층 107호 (내곡동)<NA>가상체험체육시설(골프)
216드래곤 골프서울특별시 서초구 바우뫼로27길 7-11, 지하1층 (양재동)<NA>가상체험체육시설(골프)

Duplicate rows

Most frequently occurring

상호시설주소(도로명)시설전화번호시설유형# duplicates
0DK스크린골프서울특별시 서초구 방배천로 36 (방배동, (지1층))02-521-3336가상체험체육시설(골프)2
1레인지엑스 서래서울특별시 서초구 사평대로 140, 지하3층 (반포동)02-591-1872가상체험체육시설(골프)2