Overview

Dataset statistics

Number of variables10
Number of observations314
Missing cells121
Missing cells (%)3.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory25.6 KiB
Average record size in memory83.4 B

Variable types

Categorical1
Text7
Numeric2

Dataset

Description서울특별시 용산구 맛집 현황(종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페),테마(국가), 업소명, 전화번호, 주소1, 주소2, 주요요리, 위도, 경도, 사장님이자랑하는내가게한마디 )에 대한 데이터를 제공합니다.
Author서울특별시 용산구
URLhttps://www.data.go.kr/data/15066516/fileData.do

Alerts

종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페) is highly imbalanced (68.3%)Imbalance
전화번호 has 19 (6.1%) missing valuesMissing
주소2 has 11 (3.5%) missing valuesMissing
사장님이자랑하는내가게한마디 has 91 (29.0%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:06:06.916752
Analysis finished2023-12-12 00:06:08.900486
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
5
274 
4
 
24
3
 
11
2
 
3
6
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row4
3rd row5
4th row3
5th row4

Common Values

ValueCountFrequency (%)
5 274
87.3%
4 24
 
7.6%
3 11
 
3.5%
2 3
 
1.0%
6 2
 
0.6%

Length

2023-12-12T09:06:08.963286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:06:09.054314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 274
87.3%
4 24
 
7.6%
3 11
 
3.5%
2 3
 
1.0%
6 2
 
0.6%

테마(국가)
Text

Distinct58
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:06:09.202567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length2
Mean length3.0636943
Min length2

Characters and Unicode

Total characters962
Distinct characters92
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)10.8%

Sample

1st row일본
2nd row프랑스
3rd row카메룬
4th row일본
5th row미국
ValueCountFrequency (%)
이탈리아 67
20.9%
미국 51
15.9%
일본 41
12.8%
태국 17
 
5.3%
멕시코 15
 
4.7%
터키 13
 
4.1%
베트남 13
 
4.1%
프랑스 13
 
4.1%
중국 9
 
2.8%
인도 8
 
2.5%
Other values (44) 73
22.8%
2023-12-12T09:06:09.485072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 84
 
8.7%
아 82
 
8.5%
이 78
 
8.1%
리 76
 
7.9%
탈 71
 
7.4%
미 54
 
5.6%
일 48
 
5.0%
본 44
 
4.6%
스 32
 
3.3%
키 22
 
2.3%
Other values (82) 371
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 929
96.6%
Other Punctuation 16
 
1.7%
Space Separator 7
 
0.7%
Close Punctuation 5
 
0.5%
Open Punctuation 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 84
 
9.0%
아 82
 
8.8%
이 78
 
8.4%
리 76
 
8.2%
탈 71
 
7.6%
미 54
 
5.8%
일 48
 
5.2%
본 44
 
4.7%
스 32
 
3.4%
키 22
 
2.4%
Other values (77) 338
36.4%
Other Punctuation
ValueCountFrequency (%)
/ 10
62.5%
, 6
37.5%
Space Separator
ValueCountFrequency (%)
7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 929
96.6%
Common 33
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 84
 
9.0%
아 82
 
8.8%
이 78
 
8.4%
리 76
 
8.2%
탈 71
 
7.6%
미 54
 
5.8%
일 48
 
5.2%
본 44
 
4.7%
스 32
 
3.4%
키 22
 
2.4%
Other values (77) 338
36.4%
Common
ValueCountFrequency (%)
/ 10
30.3%
7
21.2%
, 6
18.2%
) 5
15.2%
( 5
15.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 929
96.6%
ASCII 33
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 84
 
9.0%
아 82
 
8.8%
이 78
 
8.4%
리 76
 
8.2%
탈 71
 
7.6%
미 54
 
5.8%
일 48
 
5.2%
본 44
 
4.7%
스 32
 
3.4%
키 22
 
2.4%
Other values (77) 338
36.4%
ASCII
ValueCountFrequency (%)
/ 10
30.3%
7
21.2%
, 6
18.2%
) 5
15.2%
( 5
15.2%

업소명
Text

Distinct313
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:06:09.683631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length7.5382166
Min length2

Characters and Unicode

Total characters2367
Distinct characters397
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

Unique312 ?
Unique (%)99.4%

Sample

1st row도쿄살롱
2nd row바이휴고
3rd rowAfricanport
4th row고로킹
5th row매덕스피자이태원점
ValueCountFrequency (%)
이태원점 8
 
2.0%
미스터케밥 3
 
0.8%
한남점 3
 
0.8%
더 3
 
0.8%
사이공그릴 2
 
0.5%
소이연남 2
 
0.5%
restaurant 2
 
0.5%
핏제리아디부자 2
 
0.5%
2호점 2
 
0.5%
이태원 2
 
0.5%
Other values (361) 364
92.6%
2023-12-12T09:06:10.033852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 104
 
4.4%
이 88
 
3.7%
80
 
3.4%
) 78
 
3.3%
( 78
 
3.3%
리 50
 
2.1%
트 33
 
1.4%
라 32
 
1.4%
A 31
 
1.3%
아 30
 
1.3%
Other values (387) 1763
74.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1615
68.2%
Lowercase Letter 265
 
11.2%
Uppercase Letter 207
 
8.7%
Space Separator 80
 
3.4%
Close Punctuation 78
 
3.3%
Open Punctuation 78
 
3.3%
Decimal Number 35
 
1.5%
Modifier Symbol 6
 
0.3%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 104
 
6.4%
이 88
 
5.4%
리 50
 
3.1%
트 33
 
2.0%
라 32
 
2.0%
아 30
 
1.9%
점 30
 
1.9%
레 28
 
1.7%
마 25
 
1.5%
원 25
 
1.5%
Other values (324) 1170
72.4%
Lowercase Letter
ValueCountFrequency (%)
a 30
 
11.3%
e 29
 
10.9%
o 27
 
10.2%
i 25
 
9.4%
r 16
 
6.0%
n 15
 
5.7%
s 15
 
5.7%
l 12
 
4.5%
m 11
 
4.2%
t 10
 
3.8%
Other values (14) 75
28.3%
Uppercase Letter
ValueCountFrequency (%)
A 31
15.0%
L 19
 
9.2%
B 16
 
7.7%
O 15
 
7.2%
R 14
 
6.8%
T 12
 
5.8%
I 11
 
5.3%
E 11
 
5.3%
S 10
 
4.8%
M 9
 
4.3%
Other values (12) 59
28.5%
Decimal Number
ValueCountFrequency (%)
2 8
22.9%
8 6
17.1%
1 5
14.3%
3 5
14.3%
7 3
 
8.6%
5 3
 
8.6%
9 2
 
5.7%
4 1
 
2.9%
0 1
 
2.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
& 1
50.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1615
68.2%
Latin 472
 
19.9%
Common 280
 
11.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 104
 
6.4%
이 88
 
5.4%
리 50
 
3.1%
트 33
 
2.0%
라 32
 
2.0%
아 30
 
1.9%
점 30
 
1.9%
레 28
 
1.7%
마 25
 
1.5%
원 25
 
1.5%
Other values (324) 1170
72.4%
Latin
ValueCountFrequency (%)
A 31
 
6.6%
a 30
 
6.4%
e 29
 
6.1%
o 27
 
5.7%
i 25
 
5.3%
L 19
 
4.0%
r 16
 
3.4%
B 16
 
3.4%
O 15
 
3.2%
n 15
 
3.2%
Other values (36) 249
52.8%
Common
ValueCountFrequency (%)
80
28.6%
) 78
27.9%
( 78
27.9%
2 8
 
2.9%
8 6
 
2.1%
` 6
 
2.1%
1 5
 
1.8%
3 5
 
1.8%
7 3
 
1.1%
5 3
 
1.1%
Other values (7) 8
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1615
68.2%
ASCII 752
31.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 104
 
6.4%
이 88
 
5.4%
리 50
 
3.1%
트 33
 
2.0%
라 32
 
2.0%
아 30
 
1.9%
점 30
 
1.9%
레 28
 
1.7%
마 25
 
1.5%
원 25
 
1.5%
Other values (324) 1170
72.4%
ASCII
ValueCountFrequency (%)
80
 
10.6%
) 78
 
10.4%
( 78
 
10.4%
A 31
 
4.1%
a 30
 
4.0%
e 29
 
3.9%
o 27
 
3.6%
i 25
 
3.3%
L 19
 
2.5%
r 16
 
2.1%
Other values (53) 339
45.1%

전화번호
Text

MISSING 

Distinct291
Distinct (%)98.6%
Missing19
Missing (%)6.1%
Memory size2.6 KiB
2023-12-12T09:06:10.319623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length11.267797
Min length10

Characters and Unicode

Total characters3324
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)97.3%

Sample

1st row02-792-3068
2nd row070-4063-1642
3rd row02-792-9214
4th row02-792-2420
5th row02-790-1102
ValueCountFrequency (%)
02-795-6004 2
 
0.7%
02-749-7783 2
 
0.7%
02-792-3340 2
 
0.7%
02-794-3343 2
 
0.7%
02-792-3068 1
 
0.3%
02-790-5585 1
 
0.3%
02-790-9313 1
 
0.3%
02-749-9329 1
 
0.3%
02-766-8445 1
 
0.3%
02-793-5416 1
 
0.3%
Other values (281) 281
95.3%
2023-12-12T09:06:10.760206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 590
17.7%
0 522
15.7%
2 465
14.0%
7 454
13.7%
9 358
10.8%
4 180
 
5.4%
3 177
 
5.3%
8 165
 
5.0%
5 160
 
4.8%
1 127
 
3.8%
Other values (2) 126
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2732
82.2%
Dash Punctuation 590
 
17.7%
Math Symbol 2
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 522
19.1%
2 465
17.0%
7 454
16.6%
9 358
13.1%
4 180
 
6.6%
3 177
 
6.5%
8 165
 
6.0%
5 160
 
5.9%
1 127
 
4.6%
6 124
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 590
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3324
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 590
17.7%
0 522
15.7%
2 465
14.0%
7 454
13.7%
9 358
10.8%
4 180
 
5.4%
3 177
 
5.3%
8 165
 
5.0%
5 160
 
4.8%
1 127
 
3.8%
Other values (2) 126
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3324
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 590
17.7%
0 522
15.7%
2 465
14.0%
7 454
13.7%
9 358
10.8%
4 180
 
5.4%
3 177
 
5.3%
8 165
 
5.0%
5 160
 
4.8%
1 127
 
3.8%
Other values (2) 126
 
3.8%

주소1
Text

Distinct248
Distinct (%)79.0%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:06:11.130119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length19.410828
Min length16

Characters and Unicode

Total characters6095
Distinct characters52
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique201 ?
Unique (%)64.0%

Sample

1st row서울특별시 용산구 회나무로 74
2nd row서울특별시 용산구 이태원로17길 23-13
3rd row서울특별시 용산구 이태원로14길 29-1
4th row서울특별시 용산구 회나무로 29
5th row서울특별시 용산구 이태원로26길 26
ValueCountFrequency (%)
서울특별시 314
25.0%
용산구 314
25.0%
이태원로 63
 
5.0%
회나무로 26
 
2.1%
이태원로27가길 20
 
1.6%
녹사평대로 13
 
1.0%
독서당로 12
 
1.0%
우사단로10길 12
 
1.0%
이태원로19길 11
 
0.9%
녹사평대로40길 10
 
0.8%
Other values (209) 461
36.7%
2023-12-12T09:06:12.019597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
942
15.5%
서 332
 
5.4%
특 314
 
5.2%
별 314
 
5.2%
시 314
 
5.2%
용 314
 
5.2%
산 314
 
5.2%
구 314
 
5.2%
울 314
 
5.2%
로 312
 
5.1%
Other values (42) 2311
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4024
66.0%
Decimal Number 1078
 
17.7%
Space Separator 942
 
15.5%
Dash Punctuation 51
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 332
 
8.3%
특 314
 
7.8%
별 314
 
7.8%
시 314
 
7.8%
용 314
 
7.8%
산 314
 
7.8%
구 314
 
7.8%
울 314
 
7.8%
로 312
 
7.8%
길 182
 
4.5%
Other values (30) 1000
24.9%
Decimal Number
ValueCountFrequency (%)
2 211
19.6%
1 183
17.0%
4 121
11.2%
6 102
9.5%
3 96
8.9%
5 95
8.8%
0 87
8.1%
7 71
 
6.6%
9 60
 
5.6%
8 52
 
4.8%
Space Separator
ValueCountFrequency (%)
942
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 51
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4024
66.0%
Common 2071
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 332
 
8.3%
특 314
 
7.8%
별 314
 
7.8%
시 314
 
7.8%
용 314
 
7.8%
산 314
 
7.8%
구 314
 
7.8%
울 314
 
7.8%
로 312
 
7.8%
길 182
 
4.5%
Other values (30) 1000
24.9%
Common
ValueCountFrequency (%)
942
45.5%
2 211
 
10.2%
1 183
 
8.8%
4 121
 
5.8%
6 102
 
4.9%
3 96
 
4.6%
5 95
 
4.6%
0 87
 
4.2%
7 71
 
3.4%
9 60
 
2.9%
Other values (2) 103
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4024
66.0%
ASCII 2071
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
942
45.5%
2 211
 
10.2%
1 183
 
8.8%
4 121
 
5.8%
6 102
 
4.9%
3 96
 
4.6%
5 95
 
4.6%
0 87
 
4.2%
7 71
 
3.4%
9 60
 
2.9%
Other values (2) 103
 
5.0%
Hangul
ValueCountFrequency (%)
서 332
 
8.3%
특 314
 
7.8%
별 314
 
7.8%
시 314
 
7.8%
용 314
 
7.8%
산 314
 
7.8%
구 314
 
7.8%
울 314
 
7.8%
로 312
 
7.8%
길 182
 
4.5%
Other values (30) 1000
24.9%

주소2
Text

MISSING 

Distinct64
Distinct (%)21.1%
Missing11
Missing (%)3.5%
Memory size2.6 KiB
2023-12-12T09:06:12.284461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length8.5775578
Min length5

Characters and Unicode

Total characters2599
Distinct characters79
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)12.5%

Sample

1st row1층 이태원동
2nd row1층 이태원동
3rd row2층 이태원동
4th row1층 이태원동
5th row2층 이태원동
ValueCountFrequency (%)
이태원동 190
35.5%
한남동 110
20.6%
1층 71
 
13.3%
지상1층 33
 
6.2%
2층 29
 
5.4%
지하1층 18
 
3.4%
지상2층 12
 
2.2%
3층 7
 
1.3%
지상 6
 
1.1%
1~2층 4
 
0.7%
Other values (44) 55
 
10.3%
2023-12-12T09:06:12.671600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 305
11.7%
( 271
10.4%
) 271
10.4%
232
8.9%
층 196
 
7.5%
이 194
 
7.5%
원 191
 
7.3%
태 190
 
7.3%
1 143
 
5.5%
한 112
 
4.3%
Other values (69) 494
19.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1545
59.4%
Open Punctuation 271
 
10.4%
Close Punctuation 271
 
10.4%
Space Separator 232
 
8.9%
Decimal Number 229
 
8.8%
Other Punctuation 28
 
1.1%
Uppercase Letter 13
 
0.5%
Math Symbol 10
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 305
19.7%
층 196
12.7%
이 194
12.6%
원 191
12.4%
태 190
12.3%
한 112
 
7.2%
남 112
 
7.2%
지 85
 
5.5%
상 62
 
4.0%
하 21
 
1.4%
Other values (45) 77
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
I 2
15.4%
L 2
15.4%
G 2
15.4%
T 1
7.7%
W 1
7.7%
N 1
7.7%
V 1
7.7%
A 1
7.7%
D 1
7.7%
S 1
7.7%
Decimal Number
ValueCountFrequency (%)
1 143
62.4%
2 61
26.6%
3 16
 
7.0%
0 3
 
1.3%
5 2
 
0.9%
4 1
 
0.4%
8 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 271
100.0%
Close Punctuation
ValueCountFrequency (%)
) 271
100.0%
Space Separator
ValueCountFrequency (%)
232
100.0%
Other Punctuation
ValueCountFrequency (%)
, 28
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1545
59.4%
Common 1041
40.1%
Latin 13
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 305
19.7%
층 196
12.7%
이 194
12.6%
원 191
12.4%
태 190
12.3%
한 112
 
7.2%
남 112
 
7.2%
지 85
 
5.5%
상 62
 
4.0%
하 21
 
1.4%
Other values (45) 77
 
5.0%
Common
ValueCountFrequency (%)
( 271
26.0%
) 271
26.0%
232
22.3%
1 143
13.7%
2 61
 
5.9%
, 28
 
2.7%
3 16
 
1.5%
~ 10
 
1.0%
0 3
 
0.3%
5 2
 
0.2%
Other values (4) 4
 
0.4%
Latin
ValueCountFrequency (%)
I 2
15.4%
L 2
15.4%
G 2
15.4%
T 1
7.7%
W 1
7.7%
N 1
7.7%
V 1
7.7%
A 1
7.7%
D 1
7.7%
S 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1545
59.4%
ASCII 1054
40.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 305
19.7%
층 196
12.7%
이 194
12.6%
원 191
12.4%
태 190
12.3%
한 112
 
7.2%
남 112
 
7.2%
지 85
 
5.5%
상 62
 
4.0%
하 21
 
1.4%
Other values (45) 77
 
5.0%
ASCII
ValueCountFrequency (%)
( 271
25.7%
) 271
25.7%
232
22.0%
1 143
13.6%
2 61
 
5.8%
, 28
 
2.7%
3 16
 
1.5%
~ 10
 
0.9%
0 3
 
0.3%
I 2
 
0.2%
Other values (14) 17
 
1.6%

주요요리
Text

Distinct313
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-12T09:06:12.965228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length268
Median length117
Mean length76.359873
Min length28

Characters and Unicode

Total characters23977
Distinct characters592
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique312 ?
Unique (%)99.4%

Sample

1st row주요메뉴 : 야끼토리6품 17,000, 매운차돌해물짬뽕 18,000 추천메뉴 : 야끼토리6품 17,000
2nd row주요메뉴 : 스트립도인 스테이크 41,000, 샴피뇽 파스타 22,000, 에스까르고 11,000추천메뉴 : 스트립도인 스테이크 41,000
3rd row주요메뉴 : 오크로 15,000, 졸러프라이스 15,000추천메뉴 : 오크로 15,000
4th row주요메뉴 : 멘치카츠(고기고로케) 4,500, 감자고로케 5,300추천메뉴 : 멘치카츠 4,500
5th row주요메뉴 : 마르게리타피자(한조각 6,700/한판 49,000), 맥앤치즈베이컨피자(한조각 6,500/ 한판 48,000), 하와이안피자(한조각 6,500/ 한판 48,000)추천메뉴 : 마르게리타피자(한조각 6,700/한판 49,000)
ValueCountFrequency (%)
648
 
15.8%
주요메뉴 313
 
7.6%
12,000 35
 
0.9%
스테이크 35
 
0.9%
파스타 33
 
0.8%
15,000 32
 
0.8%
13,000 30
 
0.7%
8,000 28
 
0.7%
18,000 26
 
0.6%
추천메뉴 25
 
0.6%
Other values (1466) 2902
70.7%
2023-12-12T09:06:13.440728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3813
 
15.9%
0 3647
 
15.2%
, 1774
 
7.4%
1 676
 
2.8%
메 639
 
2.7%
뉴 631
 
2.6%
: 627
 
2.6%
2 365
 
1.5%
5 360
 
1.5%
요 334
 
1.4%
Other values (582) 11111
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9118
38.0%
Decimal Number 6113
25.5%
Space Separator 3813
15.9%
Other Punctuation 2473
 
10.3%
Lowercase Letter 1706
 
7.1%
Uppercase Letter 307
 
1.3%
Open Punctuation 153
 
0.6%
Close Punctuation 152
 
0.6%
Math Symbol 98
 
0.4%
Dash Punctuation 38
 
0.2%
Other values (2) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
메 639
 
7.0%
뉴 631
 
6.9%
요 334
 
3.7%
주 327
 
3.6%
추 315
 
3.5%
천 315
 
3.5%
스 307
 
3.4%
이 258
 
2.8%
리 164
 
1.8%
치 162
 
1.8%
Other values (499) 5666
62.1%
Uppercase Letter
ValueCountFrequency (%)
B 41
13.4%
T 27
 
8.8%
S 24
 
7.8%
L 21
 
6.8%
P 20
 
6.5%
C 20
 
6.5%
M 20
 
6.5%
A 18
 
5.9%
G 13
 
4.2%
F 12
 
3.9%
Other values (16) 91
29.6%
Lowercase Letter
ValueCountFrequency (%)
e 209
12.3%
a 185
 
10.8%
r 128
 
7.5%
i 127
 
7.4%
l 110
 
6.4%
s 97
 
5.7%
n 91
 
5.3%
o 87
 
5.1%
t 80
 
4.7%
p 73
 
4.3%
Other values (15) 519
30.4%
Other Punctuation
ValueCountFrequency (%)
, 1774
71.7%
: 627
 
25.4%
/ 18
 
0.7%
& 17
 
0.7%
; 17
 
0.7%
\ 9
 
0.4%
. 4
 
0.2%
" 2
 
0.1%
' 2
 
0.1%
! 2
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 3647
59.7%
1 676
 
11.1%
2 365
 
6.0%
5 360
 
5.9%
8 231
 
3.8%
9 212
 
3.5%
3 201
 
3.3%
4 154
 
2.5%
6 141
 
2.3%
7 126
 
2.1%
Math Symbol
ValueCountFrequency (%)
~ 88
89.8%
< 4
 
4.1%
> 4
 
4.1%
+ 2
 
2.0%
Control
ValueCountFrequency (%)
3
75.0%
1
 
25.0%
Space Separator
ValueCountFrequency (%)
3813
100.0%
Open Punctuation
ValueCountFrequency (%)
( 153
100.0%
Close Punctuation
ValueCountFrequency (%)
) 152
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 38
100.0%
Modifier Symbol
ValueCountFrequency (%)
^ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 12846
53.6%
Hangul 9118
38.0%
Latin 2013
 
8.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
메 639
 
7.0%
뉴 631
 
6.9%
요 334
 
3.7%
주 327
 
3.6%
추 315
 
3.5%
천 315
 
3.5%
스 307
 
3.4%
이 258
 
2.8%
리 164
 
1.8%
치 162
 
1.8%
Other values (499) 5666
62.1%
Latin
ValueCountFrequency (%)
e 209
 
10.4%
a 185
 
9.2%
r 128
 
6.4%
i 127
 
6.3%
l 110
 
5.5%
s 97
 
4.8%
n 91
 
4.5%
o 87
 
4.3%
t 80
 
4.0%
p 73
 
3.6%
Other values (41) 826
41.0%
Common
ValueCountFrequency (%)
3813
29.7%
0 3647
28.4%
, 1774
13.8%
1 676
 
5.3%
: 627
 
4.9%
2 365
 
2.8%
5 360
 
2.8%
8 231
 
1.8%
9 212
 
1.7%
3 201
 
1.6%
Other values (22) 940
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14859
62.0%
Hangul 9118
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3813
25.7%
0 3647
24.5%
, 1774
11.9%
1 676
 
4.5%
: 627
 
4.2%
2 365
 
2.5%
5 360
 
2.4%
8 231
 
1.6%
9 212
 
1.4%
e 209
 
1.4%
Other values (73) 2945
19.8%
Hangul
ValueCountFrequency (%)
메 639
 
7.0%
뉴 631
 
6.9%
요 334
 
3.7%
주 327
 
3.6%
추 315
 
3.5%
천 315
 
3.5%
스 307
 
3.4%
이 258
 
2.8%
리 164
 
1.8%
치 162
 
1.8%
Other values (499) 5666
62.1%

위도
Real number (ℝ)

Distinct244
Distinct (%)77.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.535851
Minimum37.530128
Maximum37.543499
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T09:06:13.611465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.530128
5-th percentile37.533134
Q137.534132
median37.534887
Q337.537352
95-th percentile37.540379
Maximum37.543499
Range0.01337061
Interquartile range (IQR)0.00321925

Descriptive statistics

Standard deviation0.0024597228
Coefficient of variation (CV)6.5529961 × 10-5
Kurtosis-0.023324713
Mean37.535851
Median Absolute Deviation (MAD)0.001165905
Skewness0.76054281
Sum11786.257
Variance6.0502364 × 10-6
MonotonicityNot monotonic
2023-12-12T09:06:13.767468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.54011499 8
 
2.5%
37.53468751 4
 
1.3%
37.5338367 4
 
1.3%
37.53695027 4
 
1.3%
37.53858638 3
 
1.0%
37.53770396 3
 
1.0%
37.53460821 3
 
1.0%
37.53726011 3
 
1.0%
37.53436667 3
 
1.0%
37.53994185 3
 
1.0%
Other values (234) 276
87.9%
ValueCountFrequency (%)
37.53012828 1
0.3%
37.53034453 1
0.3%
37.53074831 1
0.3%
37.53087416 1
0.3%
37.53159508 1
0.3%
37.53230503 1
0.3%
37.53237735 1
0.3%
37.53263323 1
0.3%
37.53274483 2
0.6%
37.53281703 1
0.3%
ValueCountFrequency (%)
37.54349889 1
0.3%
37.5432322 1
0.3%
37.54255503 1
0.3%
37.54244314 1
0.3%
37.54210417 1
0.3%
37.54126082 1
0.3%
37.54105904 1
0.3%
37.54098723 1
0.3%
37.54093292 1
0.3%
37.54086836 2
0.6%

경도
Real number (ℝ)

Distinct239
Distinct (%)76.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.99597
Minimum126.98696
Maximum127.01216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-12T09:06:13.951058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.98696
5-th percentile126.98754
Q1126.99146
median126.99474
Q3126.99988
95-th percentile127.00873
Maximum127.01216
Range0.0251953
Interquartile range (IQR)0.008422675

Descriptive statistics

Standard deviation0.0062771349
Coefficient of variation (CV)4.9427829 × 10-5
Kurtosis-0.22234318
Mean126.99597
Median Absolute Deviation (MAD)0.0042267
Skewness0.72469915
Sum39876.733
Variance3.9402423 × 10-5
MonotonicityNot monotonic
2023-12-12T09:06:14.139445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.9938492 8
 
2.5%
127.0081461 4
 
1.3%
126.9981354 4
 
1.3%
127.0115182 4
 
1.3%
126.9947819 4
 
1.3%
126.9979046 3
 
1.0%
126.9914459 3
 
1.0%
126.9874044 3
 
1.0%
126.9885727 3
 
1.0%
126.9870652 3
 
1.0%
Other values (229) 275
87.6%
ValueCountFrequency (%)
126.986961 1
 
0.3%
126.9869972 1
 
0.3%
126.9870471 1
 
0.3%
126.9870652 3
1.0%
126.9872007 1
 
0.3%
126.9872188 1
 
0.3%
126.9874044 3
1.0%
126.9874137 3
1.0%
126.9874766 1
 
0.3%
126.9874993 1
 
0.3%
ValueCountFrequency (%)
127.0121563 1
 
0.3%
127.0115182 4
1.3%
127.0103954 1
 
0.3%
127.0102326 1
 
0.3%
127.0099204 1
 
0.3%
127.0098297 1
 
0.3%
127.0096849 1
 
0.3%
127.0094676 1
 
0.3%
127.0091825 1
 
0.3%
127.0091463 1
 
0.3%

사장님이자랑하는내가게한마디
Text

MISSING 

Distinct218
Distinct (%)97.8%
Missing91
Missing (%)29.0%
Memory size2.6 KiB
2023-12-12T09:06:14.484400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length192
Median length70
Mean length29.502242
Min length4

Characters and Unicode

Total characters6579
Distinct characters546
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique215 ?
Unique (%)96.4%

Sample

1st row매일 신선한 재료로 정성껏 만든 수제꼬치
2nd row캐쥬얼한 프렌치 레스토랑
3rd row아프리카의 품속으로
4th row지구에서 제일 맛있는 고로케
5th row뉴욕스타일의 조각피자
ValueCountFrequency (%)
수 34
 
2.2%
있는 28
 
1.8%
전문점 19
 
1.2%
레스토랑 18
 
1.2%
즐길 17
 
1.1%
맛있는 16
 
1.0%
집 14
 
0.9%
음식점 13
 
0.8%
있습니다 13
 
0.8%
다양한 11
 
0.7%
Other values (977) 1358
88.1%
2023-12-12T09:06:15.057662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1328
 
20.2%
스 118
 
1.8%
식 109
 
1.7%
는 105
 
1.6%
리 103
 
1.6%
한 102
 
1.6%
이 100
 
1.5%
다 83
 
1.3%
있 73
 
1.1%
하 68
 
1.0%
Other values (536) 4390
66.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4675
71.1%
Space Separator 1328
 
20.2%
Lowercase Letter 227
 
3.5%
Uppercase Letter 129
 
2.0%
Other Punctuation 123
 
1.9%
Decimal Number 47
 
0.7%
Open Punctuation 16
 
0.2%
Close Punctuation 16
 
0.2%
Modifier Symbol 15
 
0.2%
Final Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 118
 
2.5%
식 109
 
2.3%
는 105
 
2.2%
리 103
 
2.2%
한 102
 
2.2%
이 100
 
2.1%
다 83
 
1.8%
있 73
 
1.6%
하 68
 
1.5%
의 66
 
1.4%
Other values (464) 3748
80.2%
Uppercase Letter
ValueCountFrequency (%)
B 15
 
11.6%
N 11
 
8.5%
R 11
 
8.5%
A 9
 
7.0%
E 9
 
7.0%
Z 8
 
6.2%
P 8
 
6.2%
I 7
 
5.4%
U 7
 
5.4%
L 6
 
4.7%
Other values (14) 38
29.5%
Lowercase Letter
ValueCountFrequency (%)
a 23
 
10.1%
e 22
 
9.7%
i 22
 
9.7%
r 16
 
7.0%
s 16
 
7.0%
n 16
 
7.0%
l 14
 
6.2%
t 14
 
6.2%
o 14
 
6.2%
u 9
 
4.0%
Other values (13) 61
26.9%
Decimal Number
ValueCountFrequency (%)
1 12
25.5%
0 10
21.3%
2 7
14.9%
3 4
 
8.5%
4 3
 
6.4%
9 3
 
6.4%
7 3
 
6.4%
5 2
 
4.3%
6 2
 
4.3%
8 1
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 51
41.5%
, 41
33.3%
& 12
 
9.8%
! 10
 
8.1%
' 4
 
3.3%
% 2
 
1.6%
; 2
 
1.6%
: 1
 
0.8%
Modifier Symbol
ValueCountFrequency (%)
` 13
86.7%
^ 2
 
13.3%
Space Separator
ValueCountFrequency (%)
1328
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4675
71.1%
Common 1548
 
23.5%
Latin 356
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 118
 
2.5%
식 109
 
2.3%
는 105
 
2.2%
리 103
 
2.2%
한 102
 
2.2%
이 100
 
2.1%
다 83
 
1.8%
있 73
 
1.6%
하 68
 
1.5%
의 66
 
1.4%
Other values (464) 3748
80.2%
Latin
ValueCountFrequency (%)
a 23
 
6.5%
e 22
 
6.2%
i 22
 
6.2%
r 16
 
4.5%
s 16
 
4.5%
n 16
 
4.5%
B 15
 
4.2%
l 14
 
3.9%
t 14
 
3.9%
o 14
 
3.9%
Other values (37) 184
51.7%
Common
ValueCountFrequency (%)
1328
85.8%
. 51
 
3.3%
, 41
 
2.6%
( 16
 
1.0%
) 16
 
1.0%
` 13
 
0.8%
1 12
 
0.8%
& 12
 
0.8%
0 10
 
0.6%
! 10
 
0.6%
Other values (15) 39
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4675
71.1%
ASCII 1902
28.9%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1328
69.8%
. 51
 
2.7%
, 41
 
2.2%
a 23
 
1.2%
e 22
 
1.2%
i 22
 
1.2%
( 16
 
0.8%
r 16
 
0.8%
s 16
 
0.8%
) 16
 
0.8%
Other values (61) 351
 
18.5%
Hangul
ValueCountFrequency (%)
스 118
 
2.5%
식 109
 
2.3%
는 105
 
2.2%
리 103
 
2.2%
한 102
 
2.2%
이 100
 
2.1%
다 83
 
1.8%
있 73
 
1.6%
하 68
 
1.5%
의 66
 
1.4%
Other values (464) 3748
80.2%
Punctuation
ValueCountFrequency (%)
’ 2
100.0%

Interactions

2023-12-12T09:06:08.266982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:06:08.000051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:06:08.396225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:06:08.129368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:06:15.168368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)테마(국가)주소2위도경도
종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)1.0000.4900.7790.3550.176
테마(국가)0.4901.0000.0000.3740.000
주소20.7790.0001.0000.6020.835
위도0.3550.3740.6021.0000.732
경도0.1760.0000.8350.7321.000
2023-12-12T09:06:15.312383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)
위도1.000-0.1550.153
경도-0.1551.0000.073
종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)0.1530.0731.000

Missing values

2023-12-12T09:06:08.539781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:06:08.726927image/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.
2023-12-12T09:06:08.841626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)테마(국가)업소명전화번호주소1주소2주요요리위도경도사장님이자랑하는내가게한마디
03일본도쿄살롱02-792-3068서울특별시 용산구 회나무로 741층 이태원동주요메뉴 : 야끼토리6품 17,000, 매운차돌해물짬뽕 18,000 추천메뉴 : 야끼토리6품 17,00037.540407126.994759매일 신선한 재료로 정성껏 만든 수제꼬치
14프랑스바이휴고070-4063-1642서울특별시 용산구 이태원로17길 23-131층 이태원동주요메뉴 : 스트립도인 스테이크 41,000, 샴피뇽 파스타 22,000, 에스까르고 11,000추천메뉴 : 스트립도인 스테이크 41,00037.535466126.991193캐쥬얼한 프렌치 레스토랑
25카메룬Africanport02-792-9214서울특별시 용산구 이태원로14길 29-12층 이태원동주요메뉴 : 오크로 15,000, 졸러프라이스 15,000추천메뉴 : 오크로 15,00037.533199126.991216아프리카의 품속으로
33일본고로킹<NA>서울특별시 용산구 회나무로 291층 이태원동주요메뉴 : 멘치카츠(고기고로케) 4,500, 감자고로케 5,300추천메뉴 : 멘치카츠 4,50037.539639126.989857지구에서 제일 맛있는 고로케
44미국매덕스피자이태원점02-792-2420서울특별시 용산구 이태원로26길 262층 이태원동주요메뉴 : 마르게리타피자(한조각 6,700/한판 49,000), 맥앤치즈베이컨피자(한조각 6,500/ 한판 48,000), 하와이안피자(한조각 6,500/ 한판 48,000)추천메뉴 : 마르게리타피자(한조각 6,700/한판 49,000)37.533347126.993524뉴욕스타일의 조각피자
54미국미트볼라운지02-790-1102서울특별시 용산구 이태원로54길 361층 한남동주요메뉴 : 클래식 토마토소스와 미국엄마손맛 소고기미트볼플래터 25,000, 육즙이 팡팡 터지는 스테이크가 올라간 필라프 15,000추천메뉴 : 소고기플래터 25,00037.536785127.001607Fast casual dining pub 미트볼전문점으로 다양한 미국식 퓨전음식과 맥주를 트렌디하게 즐길 수 있습니다
64이탈리아스테이지비02-6399-7545서울특별시 용산구 이태원로 2942층 한남동주요메뉴 : 립아이스테이크 38,000 키조개샐러드 21,000 크랩크림파스타 27,000추천메뉴 : 립아이스테이크 38,00037.540868127.002485외식과 문화가 공존하는 예술의 공간
73일본솔로스키친02-6399-7447서울특별시 용산구 이태원로 2942층 한남동주요메뉴 : 치킨가라아게덮밥 10,500 새우야채덮밥 11,000 추천메뉴 : 치킨가라아게덮밥 10,50037.540868127.002485'혼공족'을 위해 간편하게 테이크아웃해서 어디서든 편안하게 먹을 수 있는 건강한 한그릇 메뉴
85요르단아라베스크이태원02-790-6910서울특별시 용산구 이태원로 2272층 한남동주요메뉴 : 치킨/양고기 만디 18,000, 치킨/양고기 만사프 20,000추천메뉴 : 치킨/양고기 만디 18,00037.535635126.998855할랄요리 전문점, 아랍요리 전문점
94미국앤와이비엔비버거엔베이글02-553-7792서울특별시 용산구 이태원로55나길 61층 한남동주요메뉴 : The B&amp;B 14,500 Uptown Girl 16,500 The Budda Gump 25,000추천메뉴 : The B&amp;B 14,50037.536666126.999095한국에서 느낄 수 있는 뉴욕 맨하탄의 버거 맛
종류(01한식,02중식,03일식,04양식,05기타외국음식,06디저트/카페)테마(국가)업소명전화번호주소1주소2주요요리위도경도사장님이자랑하는내가게한마디
3045터키파샤(PASHA)02-793-6144서울특별시 용산구 이태원로 189(이태원동)주요메뉴 : 파샤케밥 27,500, 만타르피르졸라 37,500추천메뉴 : 파샤피데 23,0037.534857126.994913<NA>
3055터키케르반레스토랑02-792-4767서울특별시 용산구 이태원로 190(이태원동)주요메뉴 : 요거트 치킨 케밥 21,000, 믹스피데 24,500추천메뉴 : 케르반 스페셜 2p 89,00037.534356126.995148<NA>
3065터키미스터케밥02-3463-2356서울특별시 용산구 이태원로 192(이태원동)주요메뉴 : 라이스 랩 닭고기 6,500, 또띠아 빵 5,500추천메뉴 : 필라프 케밥 닭고기 8,50037.534367126.99537다양한 터키 케밥과 할랄 음식의 대표적 음식점
3075터키앙카라펠레스02-3785-3787서울특별시 용산구 이태원로 192(이태원동)주요메뉴 : Mixed Grill 30,000 Faruk pirzola 18,000추천메뉴 : Ankara Sarma Lamb 23,90037.534367126.99537<NA>
3085아랍 권두바이(DUBAI)02-798-9277서울특별시 용산구 이태원로 192(이태원동)주요메뉴 : 믹스그릴 27,500 만디 17,600추천메뉴 : 캅사 16,50037.534367126.99537<NA>
3095파라과이프로메사02-515-4075서울특별시 용산구 이태원로14길 26(이태원동)주요메뉴 : 세코데치보 24,000, 퀴노아샐러드 13,000추천메뉴 : 로모살떼아도 22,00037.533202126.990849<NA>
3105이탈리아비밀(BMeal)02-797-0715서울특별시 용산구 이태원로55가길 35지상1층 (한남동)주요메뉴 : 리코타 치즈 팬케잌 14,000 에그 베네딕트 12,000추천메뉴 : 아보카도 크림 까르보나라 16,00037.536753126.999706기존 파스타가 아닌 건강식 재료를 사용한 건강식 파스타
3115일본진돈부리02-797-1179서울특별시 용산구 이태원로55가길 38지상1층 (한남동)주요메뉴 : 믹소동 8,000, 규동 9,000추천메뉴 : 아부리사케동 11,00037.536882126.999534일본재료를 사용해서 당일 판매재료만 판매합니다.
3125일본스시제트(Z)02-795-4267서울특별시 용산구 이태원로55길 11지상 1,2층 (한남동)주요메뉴 : 오션 스시 코스 45,000추천메뉴 : 소울 스시 데판 코스 78,00037.538248127.00086스시 & 데판 전문
3135베트남르사이공(이태원점)02-792-0336서울특별시 용산구 보광로59길 311층 (이태원동)주요메뉴 : 소고기 쌀국수 8,900, 11,900추천메뉴 : 프리미엄 쌀국수 11,900, 14,90037.533815126.992216<NA>