Overview

Dataset statistics

Number of variables49
Number of observations618
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory240.9 KiB
Average record size in memory399.2 B

Variable types

Categorical30
Text11
Boolean3
Numeric5

Dataset

Description경기도 안산시 원곡동 지역의 일반음식점 현황으로 사업자명, 업태, 배달, 위도, 경도, 국적 등의 항목을 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15109590/fileData.do

Alerts

영업상태명 has constant value ""Constant
상세영업상태코드 has constant value ""Constant
상세영업상태명 has constant value ""Constant
최종수정시점 has constant value ""Constant
데이터갱신구분 has constant value ""Constant
데이터갱신일자 has constant value ""Constant
장르 has constant value ""Constant
놀이방 has constant value ""Constant
음식점 소개 has constant value ""Constant
카테고리1 has constant value ""Constant
다중이용업소여부 is highly imbalanced (54.6%)Imbalance
지점 명 is highly imbalanced (70.5%)Imbalance
층수 is highly imbalanced (59.7%)Imbalance
냉방 is highly imbalanced (82.7%)Imbalance
난방 is highly imbalanced (72.7%)Imbalance
반려동물 is highly imbalanced (77.1%)Imbalance
키오스크 is highly imbalanced (80.2%)Imbalance
정규휴무일정보 is highly imbalanced (53.9%)Imbalance
방(room) 수 is highly imbalanced (83.8%)Imbalance
배리어프리 is highly imbalanced (86.4%)Imbalance
홈페이지(URL) is highly imbalanced (88.6%)Imbalance
흡연장소 is highly imbalanced (58.9%)Imbalance
국적 is highly imbalanced (61.2%)Imbalance
주언어 is highly imbalanced (60.2%)Imbalance
입식좌석수 has 247 (40.0%) zerosZeros
좌식 좌석수 has 582 (94.2%) zerosZeros
주차 대수 has 430 (69.6%) zerosZeros

Reproduction

Analysis started2024-01-06 13:12:43.609231
Analysis finished2024-01-06 13:12:47.246492
Duration3.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
영업/정상
618 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row영업/정상
2nd row영업/정상
3rd row영업/정상
4th row영업/정상
5th row영업/정상

Common Values

ValueCountFrequency (%)
영업/정상 618
100.0%

Length

2024-01-06T13:12:47.563140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:47.930033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 618
100.0%

상세영업상태코드
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
1
618 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 618
100.0%

Length

2024-01-06T13:12:48.494272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:48.958732image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 618
100.0%

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
영업
618 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 618
100.0%

Length

2024-01-06T13:12:49.484268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:49.912781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 618
100.0%

도로명전체주소
Text

Distinct568
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:12:50.483025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length53
Mean length32.807443
Min length19

Characters and Unicode

Total characters20275
Distinct characters147
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

Unique538 ?
Unique (%)87.1%

Sample

1st row경기도 안산시 단원구 관산1길 16-1, 1층 (원곡동)
2nd row경기도 안산시 단원구 관산1길 16-1, 2층
3rd row경기도 안산시 단원구 관산1길 16-1, 2층 (원곡동)
4th row경기도 안산시 단원구 관산1길 19, 1층 일부 (원곡동)
5th row경기도 안산시 단원구 관산1길 24, 1층
ValueCountFrequency (%)
경기도 618
 
13.5%
단원구 618
 
13.5%
안산시 618
 
13.5%
원곡동 365
 
7.9%
1층 313
 
6.8%
화랑로 73
 
1.6%
2층 63
 
1.4%
원곡로 46
 
1.0%
원본로1길 44
 
1.0%
원본로 40
 
0.9%
Other values (488) 1794
39.1%
2024-01-06T13:12:51.921201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3977
19.6%
원 1254
 
6.2%
1 1128
 
5.6%
, 745
 
3.7%
산 703
 
3.5%
단 677
 
3.3%
안 663
 
3.3%
경 622
 
3.1%
시 620
 
3.1%
도 618
 
3.0%
Other values (137) 9268
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11134
54.9%
Space Separator 3977
 
19.6%
Decimal Number 3337
 
16.5%
Other Punctuation 749
 
3.7%
Open Punctuation 384
 
1.9%
Close Punctuation 384
 
1.9%
Dash Punctuation 252
 
1.2%
Uppercase Letter 32
 
0.2%
Lowercase Letter 20
 
0.1%
Math Symbol 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1254
 
11.3%
산 703
 
6.3%
단 677
 
6.1%
안 663
 
6.0%
경 622
 
5.6%
시 620
 
5.6%
도 618
 
5.6%
구 618
 
5.6%
기 618
 
5.6%
로 491
 
4.4%
Other values (111) 4250
38.2%
Decimal Number
ValueCountFrequency (%)
1 1128
33.8%
2 500
15.0%
3 362
 
10.8%
4 286
 
8.6%
0 236
 
7.1%
7 202
 
6.1%
5 189
 
5.7%
6 156
 
4.7%
9 141
 
4.2%
8 137
 
4.1%
Uppercase Letter
ValueCountFrequency (%)
B 12
37.5%
A 9
28.1%
D 5
15.6%
T 2
 
6.2%
P 2
 
6.2%
E 1
 
3.1%
C 1
 
3.1%
Other Punctuation
ValueCountFrequency (%)
, 745
99.5%
. 3
 
0.4%
/ 1
 
0.1%
Space Separator
ValueCountFrequency (%)
3977
100.0%
Open Punctuation
ValueCountFrequency (%)
( 384
100.0%
Close Punctuation
ValueCountFrequency (%)
) 384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 252
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 20
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11134
54.9%
Common 9089
44.8%
Latin 52
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1254
 
11.3%
산 703
 
6.3%
단 677
 
6.1%
안 663
 
6.0%
경 622
 
5.6%
시 620
 
5.6%
도 618
 
5.6%
구 618
 
5.6%
기 618
 
5.6%
로 491
 
4.4%
Other values (111) 4250
38.2%
Common
ValueCountFrequency (%)
3977
43.8%
1 1128
 
12.4%
, 745
 
8.2%
2 500
 
5.5%
( 384
 
4.2%
) 384
 
4.2%
3 362
 
4.0%
4 286
 
3.1%
- 252
 
2.8%
0 236
 
2.6%
Other values (8) 835
 
9.2%
Latin
ValueCountFrequency (%)
e 20
38.5%
B 12
23.1%
A 9
17.3%
D 5
 
9.6%
T 2
 
3.8%
P 2
 
3.8%
E 1
 
1.9%
C 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11134
54.9%
ASCII 9141
45.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3977
43.5%
1 1128
 
12.3%
, 745
 
8.2%
2 500
 
5.5%
( 384
 
4.2%
) 384
 
4.2%
3 362
 
4.0%
4 286
 
3.1%
- 252
 
2.8%
0 236
 
2.6%
Other values (16) 887
 
9.7%
Hangul
ValueCountFrequency (%)
원 1254
 
11.3%
산 703
 
6.3%
단 677
 
6.1%
안 663
 
6.0%
경 622
 
5.6%
시 620
 
5.6%
도 618
 
5.6%
구 618
 
5.6%
기 618
 
5.6%
로 491
 
4.4%
Other values (111) 4250
38.2%

사업장명
Text

Distinct612
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:12:52.556983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length28
Mean length6.012945
Min length2

Characters and Unicode

Total characters3716
Distinct characters530
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

Unique606 ?
Unique (%)98.1%

Sample

1st row대박호프
2nd row아리랑커피맥주
3rd row설커피호프
4th row민정스넥
5th row고려인 프로젝트 SUSHI & FIT
ValueCountFrequency (%)
양꼬치 6
 
0.8%
카페 3
 
0.4%
restaurant 3
 
0.4%
레스토랑 3
 
0.4%
3
 
0.4%
전주한식뷔페 2
 
0.3%
엄마손식당 2
 
0.3%
홍어집 2
 
0.3%
김밥 2
 
0.3%
연변양꼬치 2
 
0.3%
Other values (682) 687
96.1%
2024-01-06T13:12:54.432465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
99
 
2.7%
치 69
 
1.9%
이 66
 
1.8%
식 65
 
1.7%
호 54
 
1.5%
프 54
 
1.5%
당 53
 
1.4%
꼬 51
 
1.4%
리 50
 
1.3%
양 48
 
1.3%
Other values (520) 3107
83.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3240
87.2%
Uppercase Letter 194
 
5.2%
Space Separator 99
 
2.7%
Lowercase Letter 78
 
2.1%
Decimal Number 46
 
1.2%
Open Punctuation 20
 
0.5%
Close Punctuation 20
 
0.5%
Other Punctuation 19
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 69
 
2.1%
이 66
 
2.0%
식 65
 
2.0%
호 54
 
1.7%
프 54
 
1.7%
당 53
 
1.6%
꼬 51
 
1.6%
리 50
 
1.5%
양 48
 
1.5%
마 41
 
1.3%
Other values (464) 2689
83.0%
Uppercase Letter
ValueCountFrequency (%)
A 30
15.5%
R 19
9.8%
E 17
 
8.8%
T 17
 
8.8%
B 14
 
7.2%
I 13
 
6.7%
N 12
 
6.2%
U 9
 
4.6%
S 9
 
4.6%
O 8
 
4.1%
Other values (13) 46
23.7%
Lowercase Letter
ValueCountFrequency (%)
a 13
16.7%
s 8
10.3%
n 8
10.3%
t 6
7.7%
r 6
7.7%
o 6
7.7%
e 6
7.7%
i 5
 
6.4%
u 4
 
5.1%
d 4
 
5.1%
Other values (6) 12
15.4%
Decimal Number
ValueCountFrequency (%)
9 10
21.7%
0 10
21.7%
1 6
13.0%
7 5
10.9%
3 4
 
8.7%
8 3
 
6.5%
5 2
 
4.3%
6 2
 
4.3%
4 2
 
4.3%
2 2
 
4.3%
Other Punctuation
ValueCountFrequency (%)
& 9
47.4%
, 5
26.3%
' 3
 
15.8%
. 2
 
10.5%
Space Separator
ValueCountFrequency (%)
99
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3240
87.2%
Latin 272
 
7.3%
Common 204
 
5.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 69
 
2.1%
이 66
 
2.0%
식 65
 
2.0%
호 54
 
1.7%
프 54
 
1.7%
당 53
 
1.6%
꼬 51
 
1.6%
리 50
 
1.5%
양 48
 
1.5%
마 41
 
1.3%
Other values (464) 2689
83.0%
Latin
ValueCountFrequency (%)
A 30
 
11.0%
R 19
 
7.0%
E 17
 
6.2%
T 17
 
6.2%
B 14
 
5.1%
a 13
 
4.8%
I 13
 
4.8%
N 12
 
4.4%
U 9
 
3.3%
S 9
 
3.3%
Other values (29) 119
43.8%
Common
ValueCountFrequency (%)
99
48.5%
( 20
 
9.8%
) 20
 
9.8%
9 10
 
4.9%
0 10
 
4.9%
& 9
 
4.4%
1 6
 
2.9%
, 5
 
2.5%
7 5
 
2.5%
3 4
 
2.0%
Other values (7) 16
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3240
87.2%
ASCII 476
 
12.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
99
20.8%
A 30
 
6.3%
( 20
 
4.2%
) 20
 
4.2%
R 19
 
4.0%
E 17
 
3.6%
T 17
 
3.6%
B 14
 
2.9%
a 13
 
2.7%
I 13
 
2.7%
Other values (46) 214
45.0%
Hangul
ValueCountFrequency (%)
치 69
 
2.1%
이 66
 
2.0%
식 65
 
2.0%
호 54
 
1.7%
프 54
 
1.7%
당 53
 
1.6%
꼬 51
 
1.6%
리 50
 
1.5%
양 48
 
1.5%
마 41
 
1.3%
Other values (464) 2689
83.0%

최종수정시점
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2022-11-15
618 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-11-15
2nd row2022-11-15
3rd row2022-11-15
4th row2022-11-15
5th row2022-11-15

Common Values

ValueCountFrequency (%)
2022-11-15 618
100.0%

Length

2024-01-06T13:12:55.284940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:55.940067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-11-15 618
100.0%

데이터갱신구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
I
618 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
I 618
100.0%

Length

2024-01-06T13:12:56.253963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:56.593925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
i 618
100.0%

데이터갱신일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2022-12-09 12:00
618 

Length

Max length16
Median length16
Mean length16
Min length16

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-09 12:00
2nd row2022-12-09 12:00
3rd row2022-12-09 12:00
4th row2022-12-09 12:00
5th row2022-12-09 12:00

Common Values

ValueCountFrequency (%)
2022-12-09 12:00 618
100.0%

Length

2024-01-06T13:12:57.075768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:12:57.607511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-09 618
50.0%
12:00 618
50.0%

업태구분명
Categorical

Distinct41
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한식
157 
중국식
136 
치킨
75 
외국음식전문점(인도,태국등)
52 
기타
48 
Other values (36)
150 

Length

Max length15
Median length2
Mean length3.9627832
Min length2

Unique

Unique19 ?
Unique (%)3.1%

Sample

1st row숙박 및 일반음식점업
2nd row숙박 및 일반음식점업
3rd row숙박 및 일반음식점업
4th row중국식
5th row외국음식전문점(인도,태국등)

Common Values

ValueCountFrequency (%)
한식 157
25.4%
중국식 136
22.0%
치킨 75
12.1%
외국음식전문점(인도,태국등) 52
 
8.4%
기타 48
 
7.8%
분식 30
 
4.9%
식육(숯불구이) 26
 
4.2%
숙박 및 일반음식점업 11
 
1.8%
호프 9
 
1.5%
카페 9
 
1.5%
Other values (31) 65
10.5%

Length

2024-01-06T13:12:58.044922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 157
24.5%
중국식 136
21.2%
치킨 75
11.7%
외국음식전문점(인도,태국등 52
 
8.1%
기타 48
 
7.5%
분식 30
 
4.7%
식육(숯불구이 26
 
4.1%
숙박 11
 
1.7%
및 11
 
1.7%
일반음식점업 11
 
1.7%
Other values (34) 84
13.1%

위생업태명
Categorical

Distinct42
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한식
157 
중국식
135 
치킨
75 
외국음식전문점(인도,태국등)
53 
기타
48 
Other values (37)
150 

Length

Max length15
Median length2
Mean length3.9854369
Min length2

Unique

Unique19 ?
Unique (%)3.1%

Sample

1st row숙박 및 일반음식점업
2nd row숙박 및 일반음식점업
3rd row숙박 및 일반음식점업
4th row중국식
5th row외국음식전문점(인도,태국등)

Common Values

ValueCountFrequency (%)
한식 157
25.4%
중국식 135
21.8%
치킨 75
12.1%
외국음식전문점(인도,태국등) 53
 
8.6%
기타 48
 
7.8%
분식 30
 
4.9%
식육(숯불구이) 26
 
4.2%
숙박 및 일반음식점업 11
 
1.8%
카페 9
 
1.5%
횟집 7
 
1.1%
Other values (32) 67
10.8%

Length

2024-01-06T13:12:58.580378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 157
24.5%
중국식 135
21.1%
치킨 75
11.7%
외국음식전문점(인도,태국등 53
 
8.3%
기타 48
 
7.5%
분식 30
 
4.7%
식육(숯불구이 26
 
4.1%
숙박 11
 
1.7%
및 11
 
1.7%
일반음식점업 11
 
1.7%
Other values (34) 84
13.1%

다중이용업소여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size750.0 B
False
559 
True
59 
ValueCountFrequency (%)
False 559
90.5%
True 59
 
9.5%
2024-01-06T13:12:59.188982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

지점 명
Categorical

IMBALANCE 

Distinct44
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
493 
원곡점
 
30
안산원곡점
 
17
안산본점
 
9
본점
 
7
Other values (39)
62 

Length

Max length9
Median length2
Mean length2.3980583
Min length2

Unique

Unique28 ?
Unique (%)4.5%

Sample

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

Common Values

ValueCountFrequency (%)
없음 493
79.8%
원곡점 30
 
4.9%
안산원곡점 17
 
2.8%
안산본점 9
 
1.5%
본점 7
 
1.1%
안산점 7
 
1.1%
초지점 4
 
0.6%
안산초지점 4
 
0.6%
원곡지점 4
 
0.6%
원곡본점 3
 
0.5%
Other values (34) 40
 
6.5%

Length

2024-01-06T13:12:59.749731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 493
79.6%
원곡점 30
 
4.8%
안산원곡점 17
 
2.7%
안산본점 9
 
1.5%
본점 8
 
1.3%
안산점 7
 
1.1%
초지점 4
 
0.6%
안산초지점 4
 
0.6%
원곡지점 4
 
0.6%
원곡본점 3
 
0.5%
Other values (33) 40
 
6.5%

장르
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
음식점
618 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
음식점 618
100.0%

Length

2024-01-06T13:13:00.209746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:00.555086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점 618
100.0%

층수
Categorical

IMBALANCE 

Distinct9
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
1층
455 
2층
88 
지하1층
52 
3층
 
10
5층
 
7
Other values (4)
 
6

Length

Max length5
Median length2
Mean length2.1796117
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row1층
2nd row2층
3rd row2층
4th row1층
5th row1층

Common Values

ValueCountFrequency (%)
1층 455
73.6%
2층 88
 
14.2%
지하1층 52
 
8.4%
3층 10
 
1.6%
5층 7
 
1.1%
4층 3
 
0.5%
1, 2층 1
 
0.2%
미사용 1
 
0.2%
2, 3층 1
 
0.2%

Length

2024-01-06T13:13:00.951022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:01.568420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1층 455
73.4%
2층 89
 
14.4%
지하1층 52
 
8.4%
3층 11
 
1.8%
5층 7
 
1.1%
4층 3
 
0.5%
1 1
 
0.2%
미사용 1
 
0.2%
2 1
 
0.2%

냉방
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size750.0 B
True
602 
False
 
16
ValueCountFrequency (%)
True 602
97.4%
False 16
 
2.6%
2024-01-06T13:13:01.940160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

난방
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size750.0 B
True
589 
False
 
29
ValueCountFrequency (%)
True 589
95.3%
False 29
 
4.7%
2024-01-06T13:13:02.344584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주류판매
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
있음
512 
없음
106 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 512
82.8%
없음 106
 
17.2%

Length

2024-01-06T13:13:02.710611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:03.106206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 512
82.8%
없음 106
 
17.2%

반려동물
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
불가
595 
가능
 
23

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가 595
96.3%
가능 23
 
3.7%

Length

2024-01-06T13:13:03.419393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:03.727985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 595
96.3%
가능 23
 
3.7%

놀이방
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
618 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 618
100.0%

Length

2024-01-06T13:13:04.045862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:04.411677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 618
100.0%

배달서비스
Categorical

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
불가
350 
전화, 앱
196 
전화
46 
앱
 
25
전화
 
1

Length

Max length5
Median length2
Mean length2.9126214
Min length1

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row불가
2nd row불가
3rd row불가
4th row전화, 앱
5th row전화, 앱

Common Values

ValueCountFrequency (%)
불가 350
56.6%
전화, 앱 196
31.7%
전화 46
 
7.4%
앱 25
 
4.0%
전화 1
 
0.2%

Length

2024-01-06T13:13:04.711163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:05.058178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 350
43.0%
전화 243
29.9%
앱 221
27.1%

키오스크
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
599 
있음
 
19

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 599
96.9%
있음 19
 
3.1%

Length

2024-01-06T13:13:05.441584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:05.769416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 599
96.9%
있음 19
 
3.1%

예약
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
가능
319 
불가
299 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불가
2nd row불가
3rd row불가
4th row가능
5th row불가

Common Values

ValueCountFrequency (%)
가능 319
51.6%
불가 299
48.4%

Length

2024-01-06T13:13:06.101860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:06.548026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 319
51.6%
불가 299
48.4%

화장실
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
외부
514 
내부
104 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
외부 514
83.2%
내부 104
 
16.8%

Length

2024-01-06T13:13:06.902582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:07.278852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
외부 514
83.2%
내부 104
 
16.8%

대표전화
Text

Distinct380
Distinct (%)61.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:08.036410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length12
Mean length8.8867314
Min length3

Characters and Unicode

Total characters5492
Distinct characters15
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

Unique365 ?
Unique (%)59.1%

Sample

1st row031-493-9989
2nd row미집계
3rd row미집계
4th row미집계
5th row미집계
ValueCountFrequency (%)
미집계 225
36.4%
031-494-8808 2
 
0.3%
031-411-9988 2
 
0.3%
0507-1326-8552 2
 
0.3%
031-4924933 2
 
0.3%
031-403-9229 2
 
0.3%
031-494-9759 2
 
0.3%
031-494-8295 2
 
0.3%
031-508-6685 2
 
0.3%
031-492-4042 2
 
0.3%
Other values (370) 375
60.7%
2024-01-06T13:13:09.432800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 779
14.2%
0 704
12.8%
1 603
11.0%
3 598
10.9%
4 492
9.0%
9 390
7.1%
8 331
 
6.0%
5 290
 
5.3%
7 246
 
4.5%
미 225
 
4.1%
Other values (5) 834
15.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4036
73.5%
Dash Punctuation 779
 
14.2%
Other Letter 675
 
12.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 704
17.4%
1 603
14.9%
3 598
14.8%
4 492
12.2%
9 390
9.7%
8 331
8.2%
5 290
7.2%
7 246
 
6.1%
2 213
 
5.3%
6 169
 
4.2%
Other Letter
ValueCountFrequency (%)
미 225
33.3%
집 225
33.3%
계 225
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 779
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4817
87.7%
Hangul 675
 
12.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 779
16.2%
0 704
14.6%
1 603
12.5%
3 598
12.4%
4 492
10.2%
9 390
8.1%
8 331
6.9%
5 290
 
6.0%
7 246
 
5.1%
2 213
 
4.4%
Other values (2) 171
 
3.5%
Hangul
ValueCountFrequency (%)
미 225
33.3%
집 225
33.3%
계 225
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4817
87.7%
Hangul 675
 
12.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 779
16.2%
0 704
14.6%
1 603
12.5%
3 598
12.4%
4 492
10.2%
9 390
8.1%
8 331
6.9%
5 290
 
6.0%
7 246
 
5.1%
2 213
 
4.4%
Other values (2) 171
 
3.5%
Hangul
ValueCountFrequency (%)
미 225
33.3%
집 225
33.3%
계 225
33.3%

도로명주소
Text

Distinct314
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:10.337554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length19.228155
Min length17

Characters and Unicode

Total characters11883
Distinct characters47
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)33.7%

Sample

1st row경기도 안산시 단원구 관산1길 16-1
2nd row경기도 안산시 단원구 관산1길 16-1
3rd row경기도 안산시 단원구 관산1길 16-1
4th row경기도 안산시 단원구 관산1길 19
5th row경기도 안산시 단원구 관산1길 24
ValueCountFrequency (%)
경기도 618
20.0%
단원구 618
20.0%
안산시 617
20.0%
화랑로 74
 
2.4%
원곡로 45
 
1.5%
원본로1길 44
 
1.4%
원본로 41
 
1.3%
라성안길 38
 
1.2%
라성로 35
 
1.1%
17 33
 
1.1%
Other values (170) 929
30.0%
2024-01-06T13:13:11.862508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2474
20.8%
원 881
 
7.4%
산 691
 
5.8%
안 656
 
5.5%
단 651
 
5.5%
경 618
 
5.2%
구 618
 
5.2%
도 618
 
5.2%
기 618
 
5.2%
시 617
 
5.2%
Other values (37) 3441
29.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7661
64.5%
Space Separator 2474
 
20.8%
Decimal Number 1623
 
13.7%
Dash Punctuation 122
 
1.0%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 881
11.5%
산 691
9.0%
안 656
8.6%
단 651
8.5%
경 618
8.1%
구 618
8.1%
도 618
8.1%
기 618
8.1%
시 617
8.1%
로 489
6.4%
Other values (24) 1204
15.7%
Decimal Number
ValueCountFrequency (%)
1 409
25.2%
2 277
17.1%
3 251
15.5%
4 161
 
9.9%
0 118
 
7.3%
5 100
 
6.2%
7 95
 
5.9%
6 94
 
5.8%
9 65
 
4.0%
8 53
 
3.3%
Space Separator
ValueCountFrequency (%)
2474
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 122
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7661
64.5%
Common 4219
35.5%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 881
11.5%
산 691
9.0%
안 656
8.6%
단 651
8.5%
경 618
8.1%
구 618
8.1%
도 618
8.1%
기 618
8.1%
시 617
8.1%
로 489
6.4%
Other values (24) 1204
15.7%
Common
ValueCountFrequency (%)
2474
58.6%
1 409
 
9.7%
2 277
 
6.6%
3 251
 
5.9%
4 161
 
3.8%
- 122
 
2.9%
0 118
 
2.8%
5 100
 
2.4%
7 95
 
2.3%
6 94
 
2.2%
Other values (2) 118
 
2.8%
Latin
ValueCountFrequency (%)
B 3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7661
64.5%
ASCII 4222
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2474
58.6%
1 409
 
9.7%
2 277
 
6.6%
3 251
 
5.9%
4 161
 
3.8%
- 122
 
2.9%
0 118
 
2.8%
5 100
 
2.4%
7 95
 
2.3%
6 94
 
2.2%
Other values (3) 121
 
2.9%
Hangul
ValueCountFrequency (%)
원 881
11.5%
산 691
9.0%
안 656
8.6%
단 651
8.5%
경 618
8.1%
구 618
8.1%
도 618
8.1%
기 618
8.1%
시 617
8.1%
로 489
6.4%
Other values (24) 1204
15.7%

영업시간
Text

Distinct181
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:12.655089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length11
Mean length8.9724919
Min length2

Characters and Unicode

Total characters5545
Distinct characters44
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique130 ?
Unique (%)21.0%

Sample

1st row11:00~02:00
2nd row상점문의
3rd row상점문의
4th row11:30~19:30
5th row11:00~23:00
ValueCountFrequency (%)
상점문의 223
32.2%
10:00~22:00 59
 
8.5%
11:00~23:00 28
 
4.0%
25
 
3.6%
11:00~22:00 18
 
2.6%
09:00~21:00 11
 
1.6%
11:00~21:00 11
 
1.6%
09:00~22:00 10
 
1.4%
12:00~24:00 10
 
1.4%
10:00~21:00 10
 
1.4%
Other values (184) 288
41.6%
2024-01-06T13:13:14.053236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1792
32.3%
: 833
15.0%
2 506
 
9.1%
1 491
 
8.9%
~ 408
 
7.4%
점 224
 
4.0%
상 223
 
4.0%
문 223
 
4.0%
의 223
 
4.0%
3 187
 
3.4%
Other values (34) 435
 
7.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3210
57.9%
Other Letter 977
 
17.6%
Other Punctuation 868
 
15.7%
Math Symbol 408
 
7.4%
Space Separator 75
 
1.4%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 224
22.9%
상 223
22.8%
문 223
22.8%
의 223
22.8%
일 14
 
1.4%
토 11
 
1.1%
금 10
 
1.0%
시 7
 
0.7%
말 6
 
0.6%
평 6
 
0.6%
Other values (15) 30
 
3.1%
Decimal Number
ValueCountFrequency (%)
0 1792
55.8%
2 506
 
15.8%
1 491
 
15.3%
3 187
 
5.8%
9 73
 
2.3%
4 69
 
2.1%
8 28
 
0.9%
7 25
 
0.8%
6 20
 
0.6%
5 19
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 833
96.0%
, 32
 
3.7%
/ 2
 
0.2%
; 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 408
100.0%
Space Separator
ValueCountFrequency (%)
75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4568
82.4%
Hangul 977
 
17.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 224
22.9%
상 223
22.8%
문 223
22.8%
의 223
22.8%
일 14
 
1.4%
토 11
 
1.1%
금 10
 
1.0%
시 7
 
0.7%
말 6
 
0.6%
평 6
 
0.6%
Other values (15) 30
 
3.1%
Common
ValueCountFrequency (%)
0 1792
39.2%
: 833
18.2%
2 506
 
11.1%
1 491
 
10.7%
~ 408
 
8.9%
3 187
 
4.1%
75
 
1.6%
9 73
 
1.6%
4 69
 
1.5%
, 32
 
0.7%
Other values (9) 102
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4568
82.4%
Hangul 977
 
17.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1792
39.2%
: 833
18.2%
2 506
 
11.1%
1 491
 
10.7%
~ 408
 
8.9%
3 187
 
4.1%
75
 
1.6%
9 73
 
1.6%
4 69
 
1.5%
, 32
 
0.7%
Other values (9) 102
 
2.2%
Hangul
ValueCountFrequency (%)
점 224
22.9%
상 223
22.8%
문 223
22.8%
의 223
22.8%
일 14
 
1.4%
토 11
 
1.1%
금 10
 
1.0%
시 7
 
0.7%
말 6
 
0.6%
평 6
 
0.6%
Other values (15) 30
 
3.1%

정규휴무일정보
Categorical

IMBALANCE 

Distinct34
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
상점문의
270 
연중무휴
216 
일요일
31 
화요일
 
23
월요일
 
17
Other values (29)
61 

Length

Max length13
Median length4
Mean length3.9029126
Min length1

Unique

Unique19 ?
Unique (%)3.1%

Sample

1st row화요일
2nd row상점문의
3rd row상점문의
4th row연중무휴
5th row월요일

Common Values

ValueCountFrequency (%)
상점문의 270
43.7%
연중무휴 216
35.0%
일요일 31
 
5.0%
화요일 23
 
3.7%
월요일 17
 
2.8%
화 9
 
1.5%
일 7
 
1.1%
수요일 7
 
1.1%
목요일 5
 
0.8%
토, 일 3
 
0.5%
Other values (24) 30
 
4.9%

Length

2024-01-06T13:13:14.475204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상점문의 270
42.3%
연중무휴 216
33.9%
일요일 34
 
5.3%
화요일 27
 
4.2%
월요일 17
 
2.7%
일 10
 
1.6%
화 9
 
1.4%
수요일 8
 
1.3%
목요일 5
 
0.8%
월 4
 
0.6%
Other values (27) 38
 
6.0%

식당위도
Real number (ℝ)

Distinct312
Distinct (%)50.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.329014
Minimum37.324129
Maximum37.334224
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-01-06T13:13:14.880523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.324129
5-th percentile37.324602
Q137.32722
median37.329125
Q337.331308
95-th percentile37.332447
Maximum37.334224
Range0.01009479
Interquartile range (IQR)0.00408803

Descriptive statistics

Standard deviation0.0025387616
Coefficient of variation (CV)6.8010412 × 10-5
Kurtosis-1.0865277
Mean37.329014
Median Absolute Deviation (MAD)0.00206043
Skewness-0.28501935
Sum23069.33
Variance6.4453104 × 10-6
MonotonicityNot monotonic
2024-01-06T13:13:15.422244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.32775076 26
 
4.2%
37.32500708 26
 
4.2%
37.32460174 25
 
4.0%
37.32630696 22
 
3.6%
37.32756941 15
 
2.4%
37.32805811 14
 
2.3%
37.32412936 10
 
1.6%
37.32560255 10
 
1.6%
37.32795077 10
 
1.6%
37.32839957 10
 
1.6%
Other values (302) 450
72.8%
ValueCountFrequency (%)
37.32412936 10
 
1.6%
37.32440839 4
 
0.6%
37.32460174 25
4.0%
37.32490321 9
 
1.5%
37.32500708 26
4.2%
37.32502906 3
 
0.5%
37.32541332 5
 
0.8%
37.32560255 10
 
1.6%
37.32573698 4
 
0.6%
37.32581908 1
 
0.2%
ValueCountFrequency (%)
37.33422415 1
0.2%
37.33374099 1
0.2%
37.33344696 1
0.2%
37.33342884 1
0.2%
37.33338268 1
0.2%
37.33321078 1
0.2%
37.33311292 1
0.2%
37.33297361 1
0.2%
37.3329677 1
0.2%
37.3329404 1
0.2%

식당경도
Real number (ℝ)

Distinct311
Distinct (%)50.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.79518
Minimum126.77148
Maximum126.80454
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-01-06T13:13:15.843221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.77148
5-th percentile126.78694
Q1126.7916
median126.7941
Q3126.80039
95-th percentile126.80234
Maximum126.80454
Range0.0330646
Interquartile range (IQR)0.0087892

Descriptive statistics

Standard deviation0.004898687
Coefficient of variation (CV)3.8634646 × 10-5
Kurtosis-0.32246994
Mean126.79518
Median Absolute Deviation (MAD)0.00350225
Skewness0.042080601
Sum78359.423
Variance2.3997134 × 10-5
MonotonicityNot monotonic
2024-01-06T13:13:16.345188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8023423 26
 
4.2%
126.7869372 26
 
4.2%
126.7896804 25
 
4.0%
126.8003916 22
 
3.6%
126.800328 15
 
2.4%
126.8021848 14
 
2.3%
126.8016911 10
 
1.6%
126.8045406 10
 
1.6%
126.8016991 10
 
1.6%
126.8014092 10
 
1.6%
Other values (301) 450
72.8%
ValueCountFrequency (%)
126.771476 1
 
0.2%
126.7864021 3
 
0.5%
126.7865914 5
 
0.8%
126.7869372 26
4.2%
126.7885196 2
 
0.3%
126.7885614 2
 
0.3%
126.7887964 1
 
0.2%
126.7891273 1
 
0.2%
126.789322 1
 
0.2%
126.7894151 5
 
0.8%
ValueCountFrequency (%)
126.8045406 10
 
1.6%
126.8031546 1
 
0.2%
126.8030887 9
 
1.5%
126.8023423 26
4.2%
126.8021848 14
2.3%
126.8021567 7
 
1.1%
126.8020864 8
 
1.3%
126.8018912 4
 
0.6%
126.8017827 1
 
0.2%
126.8017216 3
 
0.5%

입식좌석수
Real number (ℝ)

ZEROS 

Distinct29
Distinct (%)4.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4352751
Minimum0
Maximum50
Zeros247
Zeros (%)40.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-01-06T13:13:16.886084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median4
Q38
95-th percentile18
Maximum50
Range50
Interquartile range (IQR)8

Descriptive statistics

Standard deviation6.489227
Coefficient of variation (CV)1.1939096
Kurtosis5.1875949
Mean5.4352751
Median Absolute Deviation (MAD)4
Skewness1.7838139
Sum3359
Variance42.110066
MonotonicityNot monotonic
2024-01-06T13:13:17.399683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0 247
40.0%
6 55
 
8.9%
5 47
 
7.6%
8 33
 
5.3%
10 30
 
4.9%
4 30
 
4.9%
12 26
 
4.2%
7 21
 
3.4%
9 15
 
2.4%
3 14
 
2.3%
Other values (19) 100
16.2%
ValueCountFrequency (%)
0 247
40.0%
1 6
 
1.0%
2 14
 
2.3%
3 14
 
2.3%
4 30
 
4.9%
5 47
 
7.6%
6 55
 
8.9%
7 21
 
3.4%
8 33
 
5.3%
9 15
 
2.4%
ValueCountFrequency (%)
50 1
 
0.2%
30 7
1.1%
28 1
 
0.2%
27 1
 
0.2%
25 2
 
0.3%
24 1
 
0.2%
23 2
 
0.3%
21 3
0.5%
20 7
1.1%
19 1
 
0.2%

좌식 좌석수
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4012945
Minimum0
Maximum18
Zeros582
Zeros (%)94.2%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-01-06T13:13:17.894625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile3
Maximum18
Range18
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.8459641
Coefficient of variation (CV)4.6000234
Kurtosis33.815326
Mean0.4012945
Median Absolute Deviation (MAD)0
Skewness5.4979192
Sum248
Variance3.4075834
MonotonicityNot monotonic
2024-01-06T13:13:18.380062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0 582
94.2%
4 8
 
1.3%
6 7
 
1.1%
3 5
 
0.8%
10 3
 
0.5%
9 3
 
0.5%
12 2
 
0.3%
14 2
 
0.3%
8 2
 
0.3%
7 2
 
0.3%
Other values (2) 2
 
0.3%
ValueCountFrequency (%)
0 582
94.2%
2 1
 
0.2%
3 5
 
0.8%
4 8
 
1.3%
6 7
 
1.1%
7 2
 
0.3%
8 2
 
0.3%
9 3
 
0.5%
10 3
 
0.5%
12 2
 
0.3%
ValueCountFrequency (%)
18 1
 
0.2%
14 2
 
0.3%
12 2
 
0.3%
10 3
 
0.5%
9 3
 
0.5%
8 2
 
0.3%
7 2
 
0.3%
6 7
1.1%
4 8
1.3%
3 5
0.8%

방(room) 수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
0
587 
1
 
12
3
 
10
2
 
7
4
 
2

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 587
95.0%
1 12
 
1.9%
3 10
 
1.6%
2 7
 
1.1%
4 2
 
0.3%

Length

2024-01-06T13:13:18.988353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:19.354890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 587
95.0%
1 12
 
1.9%
3 10
 
1.6%
2 7
 
1.1%
4 2
 
0.3%

와이파이
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
있음
548 
없음
70 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
있음 548
88.7%
없음 70
 
11.3%

Length

2024-01-06T13:13:19.876171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:20.496632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
있음 548
88.7%
없음 70
 
11.3%

배리어프리
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
598 
있음
 
19
안내견출입가능
 
1

Length

Max length7
Median length2
Mean length2.0080906
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
없음 598
96.8%
있음 19
 
3.1%
안내견출입가능 1
 
0.2%

Length

2024-01-06T13:13:20.986462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:21.325146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 598
96.8%
있음 19
 
3.1%
안내견출입가능 1
 
0.2%

주차 가능
Categorical

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
불가
430 
가능
188 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
불가 430
69.6%
가능 188
30.4%

Length

2024-01-06T13:13:21.786815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:22.098228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불가 430
69.6%
가능 188
30.4%

주차 대수
Real number (ℝ)

ZEROS 

Distinct13
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.2540453
Minimum0
Maximum40
Zeros430
Zeros (%)69.6%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-01-06T13:13:22.376647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q310
95-th percentile30
Maximum40
Range40
Interquartile range (IQR)10

Descriptive statistics

Standard deviation9.7750314
Coefficient of variation (CV)1.8604772
Kurtosis1.9508511
Mean5.2540453
Median Absolute Deviation (MAD)0
Skewness1.8219446
Sum3247
Variance95.55124
MonotonicityNot monotonic
2024-01-06T13:13:22.773731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
0 430
69.6%
10 88
 
14.2%
30 68
 
11.0%
2 8
 
1.3%
20 6
 
1.0%
16 5
 
0.8%
4 4
 
0.6%
3 2
 
0.3%
1 2
 
0.3%
15 2
 
0.3%
Other values (3) 3
 
0.5%
ValueCountFrequency (%)
0 430
69.6%
1 2
 
0.3%
2 8
 
1.3%
3 2
 
0.3%
4 4
 
0.6%
5 1
 
0.2%
10 88
 
14.2%
12 1
 
0.2%
15 2
 
0.3%
16 5
 
0.8%
ValueCountFrequency (%)
40 1
 
0.2%
30 68
11.0%
20 6
 
1.0%
16 5
 
0.8%
15 2
 
0.3%
12 1
 
0.2%
10 88
14.2%
5 1
 
0.2%
4 4
 
0.6%
3 2
 
0.3%

홈페이지(URL)
Categorical

IMBALANCE 

Distinct35
Distinct (%)5.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
584 
www.ediya.com
 
1
www.라화쿵부.com
 
1
www.gamtan.co.kr
 
1
www.dunkindonuts.co.kr
 
1
Other values (30)
 
30

Length

Max length25
Median length2
Mean length2.8964401
Min length2

Unique

Unique34 ?
Unique (%)5.5%

Sample

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

Common Values

ValueCountFrequency (%)
없음 584
94.5%
www.ediya.com 1
 
0.2%
www.라화쿵부.com 1
 
0.2%
www.gamtan.co.kr 1
 
0.2%
www.dunkindonuts.co.kr 1
 
0.2%
www.2chadol.com 1
 
0.2%
www.pizzamaru.co.kr 1
 
0.2%
www.hoolala.co.kr/ 1
 
0.2%
www.kingskorea.co.kr 1
 
0.2%
www.ejadam.co.kr 1
 
0.2%
Other values (25) 25
 
4.0%

Length

2024-01-06T13:13:23.206915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 584
94.5%
www.twozzim.com 1
 
0.2%
www.bedal114.co.kr/146060 1
 
0.2%
www.composecoffee.com 1
 
0.2%
www.sincham.com 1
 
0.2%
www.barunchicken.com 1
 
0.2%
www.pizzaschool.net 1
 
0.2%
www.namuya.co.kr 1
 
0.2%
www.pelicana.co.kr 1
 
0.2%
www.frankburger.co.kr 1
 
0.2%
Other values (25) 25
 
4.0%

음식점 소개
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
618 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
없음 618
100.0%

Length

2024-01-06T13:13:23.595375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:23.910589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 618
100.0%

흡연장소
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
없음
567 
외부
 
51

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row외부
2nd row외부
3rd row외부
4th row없음
5th row없음

Common Values

ValueCountFrequency (%)
없음 567
91.7%
외부 51
 
8.3%

Length

2024-01-06T13:13:24.342172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:24.626093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
없음 567
91.7%
외부 51
 
8.3%

카테고리1
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
일반음식점
618 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 618
100.0%

Length

2024-01-06T13:13:24.872098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-06T13:13:25.487960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 618
100.0%

카테고리2
Categorical

Distinct46
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한식
176 
중국식
161 
호프
71 
분식
28 
치킨
27 
Other values (41)
155 

Length

Max length7
Median length2
Mean length2.5210356
Min length1

Unique

Unique21 ?
Unique (%)3.4%

Sample

1st row호프
2nd row호프
3rd row호프
4th row중국식
5th row러시아식

Common Values

ValueCountFrequency (%)
한식 176
28.5%
중국식 161
26.1%
호프 71
11.5%
분식 28
 
4.5%
치킨 27
 
4.4%
카페 17
 
2.8%
러시아식 16
 
2.6%
육식 16
 
2.6%
인도네시아식 13
 
2.1%
중식당 9
 
1.5%
Other values (36) 84
13.6%

Length

2024-01-06T13:13:25.958530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 176
28.4%
중국식 161
26.0%
호프 71
11.5%
분식 28
 
4.5%
치킨 27
 
4.4%
카페 17
 
2.7%
러시아식 16
 
2.6%
육식 16
 
2.6%
인도네시아식 13
 
2.1%
중식당 9
 
1.5%
Other values (37) 85
13.7%

대표메뉴1
Text

Distinct406
Distinct (%)65.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:26.767603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4983819
Min length1

Characters and Unicode

Total characters2780
Distinct characters410
Distinct categories9 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique335 ?
Unique (%)54.2%

Sample

1st row먹태
2nd row오징어버터구이
3rd row육포모듬
4th row마라탕(100g)
5th row아써르티
ValueCountFrequency (%)
한식뷔페 40
 
6.2%
양꼬치 35
 
5.4%
아메리카노 12
 
1.9%
후라이드치킨 8
 
1.2%
마라탕 8
 
1.2%
삼겹살 7
 
1.1%
노가리 6
 
0.9%
떡볶이 5
 
0.8%
짜장면 5
 
0.8%
소고기국밥 4
 
0.6%
Other values (412) 518
79.9%
2024-01-06T13:13:28.283381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
치 90
 
3.2%
리 68
 
2.4%
이 56
 
2.0%
라 55
 
2.0%
양 54
 
1.9%
탕 52
 
1.9%
마 49
 
1.8%
한 47
 
1.7%
꼬 45
 
1.6%
식 45
 
1.6%
Other values (400) 2219
79.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2542
91.4%
Decimal Number 65
 
2.3%
Lowercase Letter 50
 
1.8%
Open Punctuation 31
 
1.1%
Close Punctuation 31
 
1.1%
Space Separator 31
 
1.1%
Uppercase Letter 21
 
0.8%
Other Punctuation 7
 
0.3%
Math Symbol 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
치 90
 
3.5%
리 68
 
2.7%
이 56
 
2.2%
라 55
 
2.2%
양 54
 
2.1%
탕 52
 
2.0%
마 49
 
1.9%
한 47
 
1.8%
꼬 45
 
1.8%
식 45
 
1.8%
Other values (358) 1981
77.9%
Lowercase Letter
ValueCountFrequency (%)
g 22
44.0%
e 4
 
8.0%
r 4
 
8.0%
n 4
 
8.0%
c 3
 
6.0%
a 2
 
4.0%
k 2
 
4.0%
i 2
 
4.0%
s 1
 
2.0%
o 1
 
2.0%
Other values (5) 5
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
14.3%
K 2
9.5%
L 2
9.5%
B 2
9.5%
S 2
9.5%
M 2
9.5%
N 2
9.5%
I 1
 
4.8%
P 1
 
4.8%
G 1
 
4.8%
Other values (3) 3
14.3%
Decimal Number
ValueCountFrequency (%)
0 31
47.7%
1 22
33.8%
2 4
 
6.2%
8 3
 
4.6%
5 3
 
4.6%
4 1
 
1.5%
6 1
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 3
42.9%
/ 3
42.9%
& 1
 
14.3%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 31
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2538
91.3%
Common 167
 
6.0%
Latin 71
 
2.6%
Han 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
치 90
 
3.5%
리 68
 
2.7%
이 56
 
2.2%
라 55
 
2.2%
양 54
 
2.1%
탕 52
 
2.0%
마 49
 
1.9%
한 47
 
1.9%
꼬 45
 
1.8%
식 45
 
1.8%
Other values (356) 1977
77.9%
Latin
ValueCountFrequency (%)
g 22
31.0%
e 4
 
5.6%
r 4
 
5.6%
n 4
 
5.6%
A 3
 
4.2%
c 3
 
4.2%
K 2
 
2.8%
L 2
 
2.8%
a 2
 
2.8%
B 2
 
2.8%
Other values (18) 23
32.4%
Common
ValueCountFrequency (%)
( 31
18.6%
) 31
18.6%
0 31
18.6%
31
18.6%
1 22
13.2%
2 4
 
2.4%
, 3
 
1.8%
8 3
 
1.8%
/ 3
 
1.8%
5 3
 
1.8%
Other values (4) 5
 
3.0%
Han
ValueCountFrequency (%)
小 3
75.0%
大 1
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2538
91.3%
ASCII 238
 
8.6%
CJK 4
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
치 90
 
3.5%
리 68
 
2.7%
이 56
 
2.2%
라 55
 
2.2%
양 54
 
2.1%
탕 52
 
2.0%
마 49
 
1.9%
한 47
 
1.9%
꼬 45
 
1.8%
식 45
 
1.8%
Other values (356) 1977
77.9%
ASCII
ValueCountFrequency (%)
( 31
13.0%
) 31
13.0%
0 31
13.0%
31
13.0%
g 22
9.2%
1 22
9.2%
2 4
 
1.7%
e 4
 
1.7%
r 4
 
1.7%
n 4
 
1.7%
Other values (32) 54
22.7%
CJK
ValueCountFrequency (%)
小 3
75.0%
大 1
 
25.0%

메뉴가격1
Text

Distinct95
Distinct (%)15.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:29.033592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.47411
Min length3

Characters and Unicode

Total characters2765
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

Unique44 ?
Unique (%)7.1%

Sample

1st row13000
2nd row15000
3rd row18000
4th row6000
5th row38000
ValueCountFrequency (%)
15000 60
 
9.7%
6000 51
 
8.3%
8000 46
 
7.4%
5000 40
 
6.5%
7000 40
 
6.5%
12000 27
 
4.4%
10000 27
 
4.4%
13000 21
 
3.4%
9000 20
 
3.2%
18000 20
 
3.2%
Other values (85) 266
43.0%
2024-01-06T13:13:30.404096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1814
65.6%
1 239
 
8.6%
5 186
 
6.7%
2 100
 
3.6%
3 94
 
3.4%
8 93
 
3.4%
6 74
 
2.7%
9 64
 
2.3%
7 61
 
2.2%
4 39
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2764
> 99.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1814
65.6%
1 239
 
8.6%
5 186
 
6.7%
2 100
 
3.6%
3 94
 
3.4%
8 93
 
3.4%
6 74
 
2.7%
9 64
 
2.3%
7 61
 
2.2%
4 39
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2765
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1814
65.6%
1 239
 
8.6%
5 186
 
6.7%
2 100
 
3.6%
3 94
 
3.4%
8 93
 
3.4%
6 74
 
2.7%
9 64
 
2.3%
7 61
 
2.2%
4 39
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2765
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1814
65.6%
1 239
 
8.6%
5 186
 
6.7%
2 100
 
3.6%
3 94
 
3.4%
8 93
 
3.4%
6 74
 
2.7%
9 64
 
2.3%
7 61
 
2.2%
4 39
 
1.4%

대표메뉴2
Text

Distinct399
Distinct (%)64.6%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:31.043066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length4.1148867
Min length1

Characters and Unicode

Total characters2543
Distinct characters367
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique334 ?
Unique (%)54.0%

Sample

1st row감자튀김
2nd row육포
3rd row감자튀김
4th row마라향궈(100g)
5th row프리미엄세트
ValueCountFrequency (%)
없음 93
 
14.3%
꿔바로우 9
 
1.4%
짬뽕 9
 
1.4%
감자튀김 7
 
1.1%
한치 6
 
0.9%
제육볶음 6
 
0.9%
양념치킨 6
 
0.9%
소갈비살 5
 
0.8%
소꼬치 5
 
0.8%
카페라떼 5
 
0.8%
Other values (406) 498
76.7%
2024-01-06T13:13:32.526501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 120
 
4.7%
없 93
 
3.7%
치 60
 
2.4%
소 52
 
2.0%
이 48
 
1.9%
라 47
 
1.8%
기 44
 
1.7%
고 43
 
1.7%
리 42
 
1.7%
마 42
 
1.7%
Other values (357) 1952
76.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2349
92.4%
Decimal Number 41
 
1.6%
Lowercase Letter 41
 
1.6%
Space Separator 32
 
1.3%
Close Punctuation 25
 
1.0%
Open Punctuation 25
 
1.0%
Uppercase Letter 24
 
0.9%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 120
 
5.1%
없 93
 
4.0%
치 60
 
2.6%
소 52
 
2.2%
이 48
 
2.0%
라 47
 
2.0%
기 44
 
1.9%
고 43
 
1.8%
리 42
 
1.8%
마 42
 
1.8%
Other values (320) 1758
74.8%
Lowercase Letter
ValueCountFrequency (%)
g 15
36.6%
e 6
 
14.6%
o 3
 
7.3%
s 3
 
7.3%
r 3
 
7.3%
a 3
 
7.3%
t 2
 
4.9%
h 1
 
2.4%
u 1
 
2.4%
m 1
 
2.4%
Other values (3) 3
 
7.3%
Uppercase Letter
ValueCountFrequency (%)
N 4
16.7%
G 3
12.5%
A 3
12.5%
L 2
8.3%
S 2
8.3%
I 2
8.3%
B 2
8.3%
M 1
 
4.2%
E 1
 
4.2%
C 1
 
4.2%
Other values (3) 3
12.5%
Decimal Number
ValueCountFrequency (%)
0 20
48.8%
1 9
22.0%
2 7
 
17.1%
5 2
 
4.9%
8 2
 
4.9%
4 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
& 1
 
16.7%
Space Separator
ValueCountFrequency (%)
32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2347
92.3%
Common 129
 
5.1%
Latin 65
 
2.6%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 120
 
5.1%
없 93
 
4.0%
치 60
 
2.6%
소 52
 
2.2%
이 48
 
2.0%
라 47
 
2.0%
기 44
 
1.9%
고 43
 
1.8%
리 42
 
1.8%
마 42
 
1.8%
Other values (318) 1756
74.8%
Latin
ValueCountFrequency (%)
g 15
23.1%
e 6
 
9.2%
N 4
 
6.2%
G 3
 
4.6%
A 3
 
4.6%
o 3
 
4.6%
s 3
 
4.6%
r 3
 
4.6%
a 3
 
4.6%
L 2
 
3.1%
Other values (16) 20
30.8%
Common
ValueCountFrequency (%)
32
24.8%
) 25
19.4%
( 25
19.4%
0 20
15.5%
1 9
 
7.0%
2 7
 
5.4%
, 5
 
3.9%
5 2
 
1.6%
8 2
 
1.6%
4 1
 
0.8%
Han
ValueCountFrequency (%)
中 1
50.0%
小 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2347
92.3%
ASCII 194
 
7.6%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 120
 
5.1%
없 93
 
4.0%
치 60
 
2.6%
소 52
 
2.2%
이 48
 
2.0%
라 47
 
2.0%
기 44
 
1.9%
고 43
 
1.8%
리 42
 
1.8%
마 42
 
1.8%
Other values (318) 1756
74.8%
ASCII
ValueCountFrequency (%)
32
16.5%
) 25
12.9%
( 25
12.9%
0 20
10.3%
g 15
 
7.7%
1 9
 
4.6%
2 7
 
3.6%
e 6
 
3.1%
, 5
 
2.6%
N 4
 
2.1%
Other values (27) 46
23.7%
CJK
ValueCountFrequency (%)
中 1
50.0%
小 1
50.0%

메뉴가격2
Text

Distinct80
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:33.239757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length4.1278317
Min length2

Characters and Unicode

Total characters2551
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)4.7%

Sample

1st row15000
2nd row13000
3rd row14000
4th row2800
5th row99
ValueCountFrequency (%)
없음 93
 
15.0%
8000 51
 
8.3%
15000 40
 
6.5%
6000 31
 
5.0%
5000 30
 
4.9%
7000 29
 
4.7%
18000 28
 
4.5%
10000 28
 
4.5%
9000 26
 
4.2%
12000 24
 
3.9%
Other values (70) 238
38.5%
2024-01-06T13:13:34.344349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1569
61.5%
1 201
 
7.9%
5 144
 
5.6%
8 99
 
3.9%
없 93
 
3.6%
음 93
 
3.6%
2 90
 
3.5%
3 70
 
2.7%
9 59
 
2.3%
6 49
 
1.9%
Other values (3) 84
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2364
92.7%
Other Letter 186
 
7.3%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1569
66.4%
1 201
 
8.5%
5 144
 
6.1%
8 99
 
4.2%
2 90
 
3.8%
3 70
 
3.0%
9 59
 
2.5%
6 49
 
2.1%
7 44
 
1.9%
4 39
 
1.6%
Other Letter
ValueCountFrequency (%)
없 93
50.0%
음 93
50.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2365
92.7%
Hangul 186
 
7.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1569
66.3%
1 201
 
8.5%
5 144
 
6.1%
8 99
 
4.2%
2 90
 
3.8%
3 70
 
3.0%
9 59
 
2.5%
6 49
 
2.1%
7 44
 
1.9%
4 39
 
1.6%
Hangul
ValueCountFrequency (%)
없 93
50.0%
음 93
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2365
92.7%
Hangul 186
 
7.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1569
66.3%
1 201
 
8.5%
5 144
 
6.1%
8 99
 
4.2%
2 90
 
3.8%
3 70
 
3.0%
9 59
 
2.5%
6 49
 
2.1%
7 44
 
1.9%
4 39
 
1.6%
Hangul
ValueCountFrequency (%)
없 93
50.0%
음 93
50.0%

대표메뉴3
Text

Distinct227
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:35.070349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length2
Mean length3.1699029
Min length1

Characters and Unicode

Total characters1959
Distinct characters310
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)33.7%

Sample

1st row없음
2nd row없음
3rd row없음
4th row고기덮밥
5th row없음
ValueCountFrequency (%)
없음 368
57.2%
꿔바로우 5
 
0.8%
탕수육 3
 
0.5%
닭발 3
 
0.5%
세트 3
 
0.5%
떡볶이 3
 
0.5%
냉면구이 3
 
0.5%
건두부말이 2
 
0.3%
샌드위치 2
 
0.3%
무뼈닭발 2
 
0.3%
Other values (233) 249
38.7%
2024-01-06T13:13:36.397372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
음 384
 
19.6%
없 368
 
18.8%
치 33
 
1.7%
이 29
 
1.5%
25
 
1.3%
리 25
 
1.3%
볶 21
 
1.1%
오 20
 
1.0%
닭 20
 
1.0%
기 19
 
1.0%
Other values (300) 1015
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1855
94.7%
Lowercase Letter 29
 
1.5%
Space Separator 25
 
1.3%
Uppercase Letter 19
 
1.0%
Close Punctuation 10
 
0.5%
Open Punctuation 10
 
0.5%
Decimal Number 9
 
0.5%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
음 384
20.7%
없 368
19.8%
치 33
 
1.8%
이 29
 
1.6%
리 25
 
1.3%
볶 21
 
1.1%
오 20
 
1.1%
닭 20
 
1.1%
기 19
 
1.0%
라 19
 
1.0%
Other values (266) 917
49.4%
Lowercase Letter
ValueCountFrequency (%)
e 7
24.1%
g 4
13.8%
n 3
10.3%
m 2
 
6.9%
a 2
 
6.9%
o 2
 
6.9%
r 2
 
6.9%
c 1
 
3.4%
h 1
 
3.4%
s 1
 
3.4%
Other values (4) 4
13.8%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
N 2
10.5%
G 2
10.5%
B 2
10.5%
L 1
 
5.3%
S 1
 
5.3%
C 1
 
5.3%
I 1
 
5.3%
M 1
 
5.3%
Y 1
 
5.3%
Other values (3) 3
15.8%
Decimal Number
ValueCountFrequency (%)
0 6
66.7%
2 2
 
22.2%
1 1
 
11.1%
Space Separator
ValueCountFrequency (%)
25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1853
94.6%
Common 56
 
2.9%
Latin 48
 
2.5%
Han 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
음 384
20.7%
없 368
19.9%
치 33
 
1.8%
이 29
 
1.6%
리 25
 
1.3%
볶 21
 
1.1%
오 20
 
1.1%
닭 20
 
1.1%
기 19
 
1.0%
라 19
 
1.0%
Other values (265) 915
49.4%
Latin
ValueCountFrequency (%)
e 7
 
14.6%
g 4
 
8.3%
A 4
 
8.3%
n 3
 
6.2%
m 2
 
4.2%
N 2
 
4.2%
G 2
 
4.2%
a 2
 
4.2%
o 2
 
4.2%
r 2
 
4.2%
Other values (17) 18
37.5%
Common
ValueCountFrequency (%)
25
44.6%
) 10
 
17.9%
( 10
 
17.9%
0 6
 
10.7%
, 2
 
3.6%
2 2
 
3.6%
1 1
 
1.8%
Han
ValueCountFrequency (%)
小 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1853
94.6%
ASCII 104
 
5.3%
CJK 2
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
음 384
20.7%
없 368
19.9%
치 33
 
1.8%
이 29
 
1.6%
리 25
 
1.3%
볶 21
 
1.1%
오 20
 
1.1%
닭 20
 
1.1%
기 19
 
1.0%
라 19
 
1.0%
Other values (265) 915
49.4%
ASCII
ValueCountFrequency (%)
25
24.0%
) 10
 
9.6%
( 10
 
9.6%
e 7
 
6.7%
0 6
 
5.8%
g 4
 
3.8%
A 4
 
3.8%
n 3
 
2.9%
m 2
 
1.9%
, 2
 
1.9%
Other values (24) 31
29.8%
CJK
ValueCountFrequency (%)
小 2
100.0%

메뉴가격3
Text

Distinct64
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-01-06T13:13:36.988661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3
Min length2

Characters and Unicode

Total characters1854
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique31 ?
Unique (%)5.0%

Sample

1st row없음
2nd row없음
3rd row없음
4th row7000
5th row없음
ValueCountFrequency (%)
없음 368
59.5%
15000 20
 
3.2%
6000 20
 
3.2%
8000 19
 
3.1%
5000 17
 
2.8%
9000 14
 
2.3%
12000 14
 
2.3%
7000 13
 
2.1%
10000 13
 
2.1%
20000 11
 
1.8%
Other values (54) 109
 
17.6%
2024-01-06T13:13:38.093199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 747
40.3%
없 368
19.8%
음 368
19.8%
1 93
 
5.0%
5 61
 
3.3%
2 42
 
2.3%
8 36
 
1.9%
6 33
 
1.8%
9 31
 
1.7%
7 25
 
1.3%
Other values (3) 50
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1117
60.2%
Other Letter 736
39.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 747
66.9%
1 93
 
8.3%
5 61
 
5.5%
2 42
 
3.8%
8 36
 
3.2%
6 33
 
3.0%
9 31
 
2.8%
7 25
 
2.2%
4 25
 
2.2%
3 24
 
2.1%
Other Letter
ValueCountFrequency (%)
없 368
50.0%
음 368
50.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1118
60.3%
Hangul 736
39.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 747
66.8%
1 93
 
8.3%
5 61
 
5.5%
2 42
 
3.8%
8 36
 
3.2%
6 33
 
3.0%
9 31
 
2.8%
7 25
 
2.2%
4 25
 
2.2%
3 24
 
2.1%
Hangul
ValueCountFrequency (%)
없 368
50.0%
음 368
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1118
60.3%
Hangul 736
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 747
66.8%
1 93
 
8.3%
5 61
 
5.5%
2 42
 
3.8%
8 36
 
3.2%
6 33
 
3.0%
9 31
 
2.8%
7 25
 
2.2%
4 25
 
2.2%
3 24
 
2.1%
Hangul
ValueCountFrequency (%)
없 368
50.0%
음 368
50.0%

국적
Categorical

IMBALANCE 

Distinct12
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
대한민국
412 
중국
158 
러시아
 
15
인도네시아
 
12
인도
 
7
Other values (7)
 
14

Length

Max length6
Median length4
Mean length3.4433657
Min length2

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row대한민국
2nd row대한민국
3rd row대한민국
4th row중국
5th row러시아

Common Values

ValueCountFrequency (%)
대한민국 412
66.7%
중국 158
 
25.6%
러시아 15
 
2.4%
인도네시아 12
 
1.9%
인도 7
 
1.1%
베트남 4
 
0.6%
태국 3
 
0.5%
우즈베키스탄 2
 
0.3%
캄보디아 2
 
0.3%
미얀마 1
 
0.2%
Other values (2) 2
 
0.3%

Length

2024-01-06T13:13:38.700813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대한민국 412
66.7%
중국 158
 
25.6%
러시아 15
 
2.4%
인도네시아 12
 
1.9%
인도 7
 
1.1%
베트남 4
 
0.6%
태국 3
 
0.5%
우즈베키스탄 2
 
0.3%
캄보디아 2
 
0.3%
미얀마 1
 
0.2%
Other values (2) 2
 
0.3%

주언어
Categorical

IMBALANCE 

Distinct21
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
한국어
399 
한국어, 중국어
117 
중국어
52 
한국어, 러시아어
 
13
한국어, 인도네시아어
 
9
Other values (16)
 
28

Length

Max length16
Median length3
Mean length4.3592233
Min length2

Unique

Unique7 ?
Unique (%)1.1%

Sample

1st row한국어
2nd row한국어
3rd row한국어
4th row한국어, 중국어
5th row러시아어

Common Values

ValueCountFrequency (%)
한국어 399
64.6%
한국어, 중국어 117
 
18.9%
중국어 52
 
8.4%
한국어, 러시아어 13
 
2.1%
한국어, 인도네시아어 9
 
1.5%
베트남어 3
 
0.5%
한국어, 힌디어 3
 
0.5%
러시아어 3
 
0.5%
태국어 2
 
0.3%
한국어, 베트남어 2
 
0.3%
Other values (11) 15
 
2.4%

Length

2024-01-06T13:13:39.161698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한국어 549
71.2%
중국어 169
 
21.9%
러시아어 18
 
2.3%
인도네시아어 10
 
1.3%
베트남어 5
 
0.6%
힌디어 5
 
0.6%
태국어 3
 
0.4%
캄보디아어 2
 
0.3%
영어 2
 
0.3%
우즈베키스탄어 2
 
0.3%
Other values (6) 6
 
0.8%

Sample

영업상태명상세영업상태코드상세영업상태명도로명전체주소사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명위생업태명다중이용업소여부지점 명장르층수냉방난방주류판매반려동물놀이방배달서비스키오스크예약화장실대표전화도로명주소영업시간정규휴무일정보식당위도식당경도입식좌석수좌식 좌석수방(room) 수와이파이배리어프리주차 가능주차 대수홈페이지(URL)음식점 소개흡연장소카테고리1카테고리2대표메뉴1메뉴가격1대표메뉴2메뉴가격2대표메뉴3메뉴가격3국적주언어
0영업/정상1영업경기도 안산시 단원구 관산1길 16-1, 1층 (원곡동)대박호프2022-11-15I2022-12-09 12:00숙박 및 일반음식점업숙박 및 일반음식점업N없음음식점1층YY있음불가없음불가없음불가외부031-493-9989경기도 안산시 단원구 관산1길 16-111:00~02:00화요일37.331551126.79711000있음없음불가0없음없음외부일반음식점호프먹태13000감자튀김15000없음없음대한민국한국어
1영업/정상1영업경기도 안산시 단원구 관산1길 16-1, 2층아리랑커피맥주2022-11-15I2022-12-09 12:00숙박 및 일반음식점업숙박 및 일반음식점업N없음음식점2층NN있음불가없음불가없음불가외부미집계경기도 안산시 단원구 관산1길 16-1상점문의상점문의37.331551126.79711000있음없음불가0없음없음외부일반음식점호프오징어버터구이15000육포13000없음없음대한민국한국어
2영업/정상1영업경기도 안산시 단원구 관산1길 16-1, 2층 (원곡동)설커피호프2022-11-15I2022-12-09 12:00숙박 및 일반음식점업숙박 및 일반음식점업Y없음음식점2층YY있음불가없음불가없음불가외부미집계경기도 안산시 단원구 관산1길 16-1상점문의상점문의37.331551126.79711000있음없음불가0없음없음외부일반음식점호프육포모듬18000감자튀김14000없음없음대한민국한국어
3영업/정상1영업경기도 안산시 단원구 관산1길 19, 1층 일부 (원곡동)민정스넥2022-11-15I2022-12-09 12:00중국식중국식N없음음식점1층YY있음불가없음전화, 앱없음가능외부미집계경기도 안산시 단원구 관산1길 1911:30~19:30연중무휴37.331908126.796869200있음없음불가0없음없음없음일반음식점중국식마라탕(100g)6000마라향궈(100g)2800고기덮밥7000중국한국어, 중국어
4영업/정상1영업경기도 안산시 단원구 관산1길 24, 1층고려인 프로젝트 SUSHI & FIT2022-11-15I2022-12-09 12:00외국음식전문점(인도,태국등)외국음식전문점(인도,태국등)N없음음식점1층YY있음불가없음전화, 앱없음불가외부미집계경기도 안산시 단원구 관산1길 2411:00~23:00월요일37.332126126.797163000있음없음불가0없음없음없음일반음식점러시아식아써르티38000프리미엄세트99없음없음러시아러시아어
5영업/정상1영업경기도 안산시 단원구 관산1길 24, 1층 (원곡동)노성식당2022-11-15I2022-12-09 12:00한식한식N없음음식점1층YY있음불가없음불가없음가능외부미집계경기도 안산시 단원구 관산1길 2411:00~20:00연중무휴37.332126126.797163900있음없음불가0없음없음없음일반음식점한식제육볶음13000순두부찌개7000없음없음대한민국한국어
6영업/정상1영업경기도 안산시 단원구 관산1길 3 (원곡동, 775-10 1층)초원양꼬치훠궈2022-11-15I2022-12-09 12:00식육(숯불구이)식육(숯불구이)N없음음식점1층YY있음불가없음불가없음가능내부031-491-7587경기도 안산시 단원구 관산1길 312:00~23:00상점문의37.330633126.7967821500있음없음불가0없음없음없음일반음식점중국식양꼬치22000샤브샤브20000없음없음중국한국어, 중국어
7영업/정상1영업경기도 안산시 단원구 관산1길 3, 미래음악학원 1층 일부 (원곡동)수정커피앤호프2022-11-15I2022-12-09 12:00숙박 및 일반음식점업숙박 및 일반음식점업N없음음식점1층YY있음불가없음전화, 앱없음불가외부미집계경기도 안산시 단원구 관산1길 3상점문의상점문의37.330633126.796782000있음없음불가0없음없음없음일반음식점호프견과모듬15000감자튀김13000없음없음대한민국한국어
8영업/정상1영업경기도 안산시 단원구 관산1길 4 (원곡동, 776-2 104호)광장호프2022-11-15I2022-12-09 12:00숙박 및 일반음식점업숙박 및 일반음식점업N없음음식점1층YY있음불가없음불가없음불가외부031-495-2595경기도 안산시 단원구 관산1길 4상점문의상점문의37.330404126.796807000있음없음불가0없음없음없음일반음식점호프계절과일20000한치13000없음없음대한민국한국어
9영업/정상1영업경기도 안산시 단원구 관산2길 1, 1층BBQ올리브치킨카페2022-11-15I2022-12-09 12:00치킨치킨N원곡점음식점1층YY있음불가없음전화, 앱없음가능외부031-494-3998경기도 안산시 단원구 관산2길 111:00~02:00연중무휴37.328743126.797648400없음없음불가0없음없음없음일반음식점치킨황금올리브치킨20000반반치킨(후라이드, 양념)21000없음없음대한민국한국어
영업상태명상세영업상태코드상세영업상태명도로명전체주소사업장명최종수정시점데이터갱신구분데이터갱신일자업태구분명위생업태명다중이용업소여부지점 명장르층수냉방난방주류판매반려동물놀이방배달서비스키오스크예약화장실대표전화도로명주소영업시간정규휴무일정보식당위도식당경도입식좌석수좌식 좌석수방(room) 수와이파이배리어프리주차 가능주차 대수홈페이지(URL)음식점 소개흡연장소카테고리1카테고리2대표메뉴1메뉴가격1대표메뉴2메뉴가격2대표메뉴3메뉴가격3국적주언어
608영업/정상1영업경기도 안산시 단원구 화랑로 22, 1층 일부 (원곡동)공원양꼬치2022-11-15I2022-12-09 12:00중국식중국식N없음음식점1층YY있음불가없음불가없음가능내부미집계경기도 안산시 단원구 화랑로 2214:00~23:00연중무휴37.332553126.796132500없음없음불가0없음없음없음일반음식점중국식양꼬치1500소갈비살1800없음없음중국중국어
609영업/정상1영업경기도 안산시 단원구 화랑로 23, (원곡동, 764-14 1층)우리김밥2022-11-15I2022-12-09 12:00분식분식N없음음식점1층YY없음불가없음불가없음가능외부031-492-6888경기도 안산시 단원구 화랑로 235:00~14:00일요일37.332407126.7965381000있음없음불가0없음없음없음일반음식점한식원조김밥2500돈까스정식9000없음없음대한민국한국어
610영업/정상1영업경기도 안산시 단원구 화랑로 25, (원곡동, 1층 일부)오리장문2022-11-15I2022-12-09 12:00기타기타N없음음식점1층YY있음불가없음전화, 앱없음불가외부031-493-1586경기도 안산시 단원구 화랑로 25상점문의수요일37.332196126.796505300있음없음불가0없음없음없음일반음식점중국식모듬12000오리곱창12000없음없음중국한국어, 중국어
611영업/정상1영업경기도 안산시 단원구 화랑로 26, (원곡동, 지하1층 일부)난호프2022-11-15I2022-12-09 12:00치킨치킨N없음음식점지하1층YY있음불가없음불가없음불가외부미집계경기도 안산시 단원구 화랑로 26상점문의상점문의37.332282126.796118000있음없음불가0없음없음없음일반음식점호프황도8000노가리8000없음없음대한민국한국어
612영업/정상1영업경기도 안산시 단원구 화랑로 26, 1층신포설렁탕2022-11-15I2022-12-09 12:00한식한식N없음음식점1층YY있음불가없음전화, 앱없음가능외부031-492-8270경기도 안산시 단원구 화랑로 2610:00~22:00일요일37.332282126.796118700있음없음불가0없음없음없음일반음식점한식설렁탕8000순대국8000없음없음대한민국한국어
613영업/정상1영업경기도 안산시 단원구 화랑로 26-1, (원곡동, 763-4 1층)굿모닝김밥2022-11-15I2022-12-09 12:00분식분식N없음음식점1층YY있음불가없음불가없음불가외부031-493-0377경기도 안산시 단원구 화랑로 26-107:00~21:00연중무휴37.332139126.796109600있음없음불가0없음없음없음일반음식점분식야채김밥2000된장찌개6000제육볶음6000대한민국한국어
614영업/정상1영업경기도 안산시 단원구 화랑로 28, 1층굽네치킨2022-11-15I2022-12-09 12:00치킨치킨N원곡본동점음식점1층YY있음불가없음전화, 앱없음불가외부031-495-9482경기도 안산시 단원구 화랑로 2811:00~04:00연중무휴37.332021126.796108000없음없음불가0www.goobne.co.kr없음없음일반음식점치킨고추바사삭18000갈비천왕피자17000없음없음대한민국한국어
615영업/정상1영업경기도 안산시 단원구 화랑로 28, 1층일부 (원곡동)나탈리2022-11-15I2022-12-09 12:00외국음식전문점(인도,태국등)외국음식전문점(인도,태국등)N없음음식점1층YY있음불가없음불가없음가능외부미집계경기도 안산시 단원구 화랑로 2811:00~23:00화요일37.332021126.796108700있음없음불가0없음없음없음일반음식점러시아식즈라즈8500만트9000베시바르마크15000러시아한국어, 러시아어
616영업/정상1영업경기도 안산시 단원구 화랑로 30, 1층Master's(마스터스)2022-11-15I2022-12-09 12:00외국음식전문점(인도,태국등)외국음식전문점(인도,태국등)N없음음식점1층YY있음불가없음불가없음불가외부미집계경기도 안산시 단원구 화랑로 3007:00~23:00연중무휴37.331868126.796082000있음없음불가0없음없음없음일반음식점러시아식삼사3000호밀빵4000없음없음러시아한국어, 러시아
617영업/정상1영업경기도 안산시 단원구 화랑로 32, 1층고향아지매2022-11-15I2022-12-09 12:00중국식중국식N없음음식점1층YY있음불가없음불가없음가능외부미집계경기도 안산시 단원구 화랑로 32상점문의연중무휴37.331572126.795959600있음없음불가0없음없음없음일반음식점중국식미니족4500장족15000훈제닭12000중국한국어, 중국어