Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells50405
Missing cells (%)21.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory192.0 B

Variable types

Categorical6
Text11
Numeric6

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400010

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7920 (79.2%) missing valuesMissing
대표전화번호 has 219 (2.2%) missing valuesMissing
식당영업시간값 has 1650 (16.5%) missing valuesMissing
휴식시간내용 has 9497 (95.0%) missing valuesMissing
최종주문가능시간값 has 8493 (84.9%) missing valuesMissing
식당휴일내용 has 7685 (76.8%) missing valuesMissing
메인메뉴내용 has 7512 (75.1%) missing valuesMissing
식당평점값 has 7429 (74.3%) missing valuesMissing
식당ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:12:32.452843
Analysis finished2023-12-10 13:12:36.678747
Duration4.23 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
202108
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202108
2nd row202108
3rd row202108
4th row202108
5th row202108

Common Values

ValueCountFrequency (%)
202108 10000
100.0%

Length

2023-12-10T22:12:36.780054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:12:36.922577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

식당ID
Text

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:12:37.301089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.9404
Min length10

Characters and Unicode

Total characters109404
Distinct characters64
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10000 ?
Unique (%)100.0%

Sample

1st rowa6KR_fF0jA
2nd row1EQ02fd9oo
3rd rowvnc0i7l-fd
4th row0my2hMzHlOYD
5th rowasbzWXaJjd
ValueCountFrequency (%)
a6kr_ff0ja 1
 
< 0.1%
6hqfwt05aoiv 1
 
< 0.1%
qe5gbw1lcu9a 1
 
< 0.1%
kfxaav-6hi 1
 
< 0.1%
x6wzur7llif6 1
 
< 0.1%
g5jbx93ztv 1
 
< 0.1%
ovw7vucas0 1
 
< 0.1%
ctyvtphpul 1
 
< 0.1%
s_9trzzctt 1
 
< 0.1%
s-u8aca6cjb9 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:12:37.985342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
z 1792
 
1.6%
7 1787
 
1.6%
H 1786
 
1.6%
L 1774
 
1.6%
9 1770
 
1.6%
b 1765
 
1.6%
2 1758
 
1.6%
a 1757
 
1.6%
E 1747
 
1.6%
u 1747
 
1.6%
Other values (54) 91721
83.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 44397
40.6%
Lowercase Letter 44306
40.5%
Decimal Number 17395
 
15.9%
Dash Punctuation 1690
 
1.5%
Connector Punctuation 1616
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
z 1792
 
4.0%
b 1765
 
4.0%
a 1757
 
4.0%
u 1747
 
3.9%
h 1739
 
3.9%
i 1738
 
3.9%
v 1735
 
3.9%
w 1735
 
3.9%
j 1728
 
3.9%
o 1723
 
3.9%
Other values (16) 26847
60.6%
Uppercase Letter
ValueCountFrequency (%)
H 1786
 
4.0%
L 1774
 
4.0%
E 1747
 
3.9%
J 1739
 
3.9%
I 1738
 
3.9%
R 1727
 
3.9%
O 1724
 
3.9%
A 1718
 
3.9%
V 1717
 
3.9%
K 1715
 
3.9%
Other values (16) 27012
60.8%
Decimal Number
ValueCountFrequency (%)
7 1787
10.3%
9 1770
10.2%
2 1758
10.1%
5 1740
10.0%
1 1738
10.0%
4 1738
10.0%
0 1734
10.0%
6 1734
10.0%
3 1713
9.8%
8 1683
9.7%
Dash Punctuation
ValueCountFrequency (%)
- 1690
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1616
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88703
81.1%
Common 20701
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
z 1792
 
2.0%
H 1786
 
2.0%
L 1774
 
2.0%
b 1765
 
2.0%
a 1757
 
2.0%
E 1747
 
2.0%
u 1747
 
2.0%
J 1739
 
2.0%
h 1739
 
2.0%
I 1738
 
2.0%
Other values (42) 71119
80.2%
Common
ValueCountFrequency (%)
7 1787
8.6%
9 1770
8.6%
2 1758
8.5%
5 1740
8.4%
1 1738
8.4%
4 1738
8.4%
0 1734
8.4%
6 1734
8.4%
3 1713
8.3%
- 1690
8.2%
Other values (2) 3299
15.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109404
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
z 1792
 
1.6%
7 1787
 
1.6%
H 1786
 
1.6%
L 1774
 
1.6%
9 1770
 
1.6%
b 1765
 
1.6%
2 1758
 
1.6%
a 1757
 
1.6%
E 1747
 
1.6%
u 1747
 
1.6%
Other values (54) 91721
83.8%

식당명
Text

Distinct8837
Distinct (%)88.4%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:12:38.466695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length5.0751
Min length1

Characters and Unicode

Total characters50751
Distinct characters1102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8222 ?
Unique (%)82.2%

Sample

1st row미영이네식당
2nd row용산소세지전문점
3rd row농민백암왕순대
4th row당도
5th row고기리막국수
ValueCountFrequency (%)
카페 66
 
0.6%
설빙 29
 
0.3%
스타벅스 22
 
0.2%
봉추찜닭 19
 
0.2%
커피 19
 
0.2%
cafe 17
 
0.2%
홍익돈까스 15
 
0.1%
맛찬들왕소금구이 14
 
0.1%
아웃닭 14
 
0.1%
휴업중 13
 
0.1%
Other values (9069) 10204
97.8%
2023-12-10T22:12:39.200757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1152
 
2.3%
스 891
 
1.8%
국 857
 
1.7%
리 843
 
1.7%
수 816
 
1.6%
집 691
 
1.4%
당 644
 
1.3%
식 636
 
1.3%
카 566
 
1.1%
커 539
 
1.1%
Other values (1092) 43116
85.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48903
96.4%
Decimal Number 698
 
1.4%
Space Separator 439
 
0.9%
Uppercase Letter 335
 
0.7%
Lowercase Letter 320
 
0.6%
Other Punctuation 19
 
< 0.1%
Open Punctuation 16
 
< 0.1%
Close Punctuation 16
 
< 0.1%
Dash Punctuation 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1152
 
2.4%
스 891
 
1.8%
국 857
 
1.8%
리 843
 
1.7%
수 816
 
1.7%
집 691
 
1.4%
당 644
 
1.3%
식 636
 
1.3%
카 566
 
1.2%
커 539
 
1.1%
Other values (1022) 41268
84.4%
Uppercase Letter
ValueCountFrequency (%)
C 40
 
11.9%
E 31
 
9.3%
A 30
 
9.0%
B 28
 
8.4%
F 22
 
6.6%
O 20
 
6.0%
T 19
 
5.7%
N 18
 
5.4%
L 15
 
4.5%
M 12
 
3.6%
Other values (16) 100
29.9%
Lowercase Letter
ValueCountFrequency (%)
e 59
18.4%
a 33
10.3%
o 30
 
9.4%
f 24
 
7.5%
r 22
 
6.9%
t 20
 
6.2%
n 16
 
5.0%
s 16
 
5.0%
i 12
 
3.8%
d 12
 
3.8%
Other values (14) 76
23.8%
Decimal Number
ValueCountFrequency (%)
1 132
18.9%
2 79
11.3%
0 74
10.6%
3 74
10.6%
9 74
10.6%
4 67
9.6%
5 64
9.2%
8 54
7.7%
7 45
 
6.4%
6 35
 
5.0%
Other Punctuation
ValueCountFrequency (%)
. 7
36.8%
& 7
36.8%
, 2
 
10.5%
· 1
 
5.3%
? 1
 
5.3%
: 1
 
5.3%
Space Separator
ValueCountFrequency (%)
439
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48903
96.4%
Common 1193
 
2.4%
Latin 655
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1152
 
2.4%
스 891
 
1.8%
국 857
 
1.8%
리 843
 
1.7%
수 816
 
1.7%
집 691
 
1.4%
당 644
 
1.3%
식 636
 
1.3%
카 566
 
1.2%
커 539
 
1.1%
Other values (1022) 41268
84.4%
Latin
ValueCountFrequency (%)
e 59
 
9.0%
C 40
 
6.1%
a 33
 
5.0%
E 31
 
4.7%
o 30
 
4.6%
A 30
 
4.6%
B 28
 
4.3%
f 24
 
3.7%
r 22
 
3.4%
F 22
 
3.4%
Other values (40) 336
51.3%
Common
ValueCountFrequency (%)
439
36.8%
1 132
 
11.1%
2 79
 
6.6%
0 74
 
6.2%
3 74
 
6.2%
9 74
 
6.2%
4 67
 
5.6%
5 64
 
5.4%
8 54
 
4.5%
7 45
 
3.8%
Other values (10) 91
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48903
96.4%
ASCII 1847
 
3.6%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1152
 
2.4%
스 891
 
1.8%
국 857
 
1.8%
리 843
 
1.7%
수 816
 
1.7%
집 691
 
1.4%
당 644
 
1.3%
식 636
 
1.3%
카 566
 
1.2%
커 539
 
1.1%
Other values (1022) 41268
84.4%
ASCII
ValueCountFrequency (%)
439
23.8%
1 132
 
7.1%
2 79
 
4.3%
0 74
 
4.0%
3 74
 
4.0%
9 74
 
4.0%
4 67
 
3.6%
5 64
 
3.5%
e 59
 
3.2%
8 54
 
2.9%
Other values (59) 731
39.6%
None
ValueCountFrequency (%)
· 1
100.0%

지점명
Text

MISSING 

Distinct980
Distinct (%)47.1%
Missing7920
Missing (%)79.2%
Memory size78.3 KiB
2023-12-10T22:12:39.589058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length4.2865385
Min length2

Characters and Unicode

Total characters8916
Distinct characters363
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique716 ?
Unique (%)34.4%

Sample

1st row강남역점
2nd row파주본점
3rd row대전컨벤션센터점
4th row본점
5th row을지로점
ValueCountFrequency (%)
본점 242
 
10.9%
판교점 43
 
1.9%
송도점 33
 
1.5%
현대백화점 27
 
1.2%
2호점 26
 
1.2%
서현점 25
 
1.1%
분당점 23
 
1.0%
일산점 22
 
1.0%
영통점 21
 
0.9%
신세계백화점 17
 
0.8%
Other values (980) 1751
78.5%
2023-12-10T22:12:40.205468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2098
 
23.5%
본 353
 
4.0%
대 202
 
2.3%
산 200
 
2.2%
천 155
 
1.7%
152
 
1.7%
수 135
 
1.5%
동 129
 
1.4%
원 118
 
1.3%
교 111
 
1.2%
Other values (353) 5263
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8622
96.7%
Space Separator 152
 
1.7%
Decimal Number 94
 
1.1%
Uppercase Letter 40
 
0.4%
Close Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2098
24.3%
본 353
 
4.1%
대 202
 
2.3%
산 200
 
2.3%
천 155
 
1.8%
수 135
 
1.6%
동 129
 
1.5%
원 118
 
1.4%
교 111
 
1.3%
호 111
 
1.3%
Other values (332) 5010
58.1%
Uppercase Letter
ValueCountFrequency (%)
D 9
22.5%
T 9
22.5%
A 7
17.5%
K 6
15.0%
C 2
 
5.0%
I 2
 
5.0%
R 2
 
5.0%
M 1
 
2.5%
Z 1
 
2.5%
S 1
 
2.5%
Decimal Number
ValueCountFrequency (%)
2 37
39.4%
1 36
38.3%
3 13
 
13.8%
0 2
 
2.1%
5 2
 
2.1%
4 2
 
2.1%
6 1
 
1.1%
8 1
 
1.1%
Space Separator
ValueCountFrequency (%)
152
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8622
96.7%
Common 254
 
2.8%
Latin 40
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2098
24.3%
본 353
 
4.1%
대 202
 
2.3%
산 200
 
2.3%
천 155
 
1.8%
수 135
 
1.6%
동 129
 
1.5%
원 118
 
1.4%
교 111
 
1.3%
호 111
 
1.3%
Other values (332) 5010
58.1%
Common
ValueCountFrequency (%)
152
59.8%
2 37
 
14.6%
1 36
 
14.2%
3 13
 
5.1%
) 4
 
1.6%
( 4
 
1.6%
0 2
 
0.8%
5 2
 
0.8%
4 2
 
0.8%
6 1
 
0.4%
Latin
ValueCountFrequency (%)
D 9
22.5%
T 9
22.5%
A 7
17.5%
K 6
15.0%
C 2
 
5.0%
I 2
 
5.0%
R 2
 
5.0%
M 1
 
2.5%
Z 1
 
2.5%
S 1
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8622
96.7%
ASCII 294
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2098
24.3%
본 353
 
4.1%
대 202
 
2.3%
산 200
 
2.3%
천 155
 
1.8%
수 135
 
1.6%
동 129
 
1.5%
원 118
 
1.4%
교 111
 
1.3%
호 111
 
1.3%
Other values (332) 5010
58.1%
ASCII
ValueCountFrequency (%)
152
51.7%
2 37
 
12.6%
1 36
 
12.2%
3 13
 
4.4%
D 9
 
3.1%
T 9
 
3.1%
A 7
 
2.4%
K 6
 
2.0%
) 4
 
1.4%
( 4
 
1.4%
Other values (11) 17
 
5.8%

대표전화번호
Text

MISSING 

Distinct9775
Distinct (%)99.9%
Missing219
Missing (%)2.2%
Memory size78.3 KiB
2023-12-10T22:12:40.604412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.125141
Min length9

Characters and Unicode

Total characters118596
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9771 ?
Unique (%)99.9%

Sample

1st row064-792-0077
2nd row0507-1335-9502
3rd row02-501-2772
4th row070-8690-1088
5th row031-263-1107
ValueCountFrequency (%)
1588-8069 3
 
< 0.1%
1522-3232 3
 
< 0.1%
1577-9042 2
 
< 0.1%
064-735-5587 2
 
< 0.1%
033-335-5942 1
 
< 0.1%
031-241-8434 1
 
< 0.1%
031-483-7389 1
 
< 0.1%
070-8621-5999 1
 
< 0.1%
010-3046-3674 1
 
< 0.1%
033-573-5083 1
 
< 0.1%
Other values (9765) 9765
99.8%
2023-12-10T22:12:41.244845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19534
16.5%
0 17384
14.7%
3 13373
11.3%
1 11057
9.3%
2 10059
8.5%
5 9215
7.8%
7 8790
7.4%
4 8290
7.0%
6 7872
6.6%
8 7153
 
6.0%
Other values (3) 5869
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 99059
83.5%
Dash Punctuation 19534
 
16.5%
Other Punctuation 2
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17384
17.5%
3 13373
13.5%
1 11057
11.2%
2 10059
10.2%
5 9215
9.3%
7 8790
8.9%
4 8290
8.4%
6 7872
7.9%
8 7153
7.2%
9 5866
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 19534
100.0%
Other Punctuation
ValueCountFrequency (%)
? 2
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 118596
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19534
16.5%
0 17384
14.7%
3 13373
11.3%
1 11057
9.3%
2 10059
8.5%
5 9215
7.8%
7 8790
7.4%
4 8290
7.0%
6 7872
6.6%
8 7153
 
6.0%
Other values (3) 5869
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 118596
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19534
16.5%
0 17384
14.7%
3 13373
11.3%
1 11057
9.3%
2 10059
8.5%
5 9215
7.8%
7 8790
7.4%
4 8290
7.0%
6 7872
6.6%
8 7153
 
6.0%
Other values (3) 5869
 
4.9%

식당지번주소
Text

Distinct9352
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:12:41.789281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length18.858
Min length11

Characters and Unicode

Total characters188580
Distinct characters337
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

Unique8982 ?
Unique (%)89.8%

Sample

1st row제주 서귀포시 대정읍 하모리 770-29
2nd row경기도 고양시 덕양구 삼송동 33-13
3rd row서울시 강남구 역삼동 830-9
4th row서울시 마포구 망원동 414-16
5th row경기도 용인시 수지구 고기동 593-4
ValueCountFrequency (%)
경기도 3750
 
8.4%
제주 1078
 
2.4%
강원도 889
 
2.0%
부산시 853
 
1.9%
인천시 792
 
1.8%
제주시 663
 
1.5%
성남시 611
 
1.4%
분당구 523
 
1.2%
중구 516
 
1.2%
대전시 488
 
1.1%
Other values (9929) 34571
77.3%
2023-12-10T22:12:42.749608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34736
 
18.4%
시 9412
 
5.0%
동 8871
 
4.7%
1 8808
 
4.7%
- 7866
 
4.2%
도 6572
 
3.5%
구 5982
 
3.2%
2 5321
 
2.8%
경 4426
 
2.3%
3 4421
 
2.3%
Other values (327) 92165
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105047
55.7%
Decimal Number 40931
 
21.7%
Space Separator 34736
 
18.4%
Dash Punctuation 7866
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9412
 
9.0%
동 8871
 
8.4%
도 6572
 
6.3%
구 5982
 
5.7%
경 4426
 
4.2%
기 4041
 
3.8%
주 2975
 
2.8%
산 2579
 
2.5%
남 2447
 
2.3%
리 2314
 
2.2%
Other values (315) 55428
52.8%
Decimal Number
ValueCountFrequency (%)
1 8808
21.5%
2 5321
13.0%
3 4421
10.8%
4 3923
9.6%
5 3473
 
8.5%
6 3425
 
8.4%
7 3191
 
7.8%
8 2845
 
7.0%
9 2826
 
6.9%
0 2698
 
6.6%
Space Separator
ValueCountFrequency (%)
34736
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7866
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105047
55.7%
Common 83533
44.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9412
 
9.0%
동 8871
 
8.4%
도 6572
 
6.3%
구 5982
 
5.7%
경 4426
 
4.2%
기 4041
 
3.8%
주 2975
 
2.8%
산 2579
 
2.5%
남 2447
 
2.3%
리 2314
 
2.2%
Other values (315) 55428
52.8%
Common
ValueCountFrequency (%)
34736
41.6%
1 8808
 
10.5%
- 7866
 
9.4%
2 5321
 
6.4%
3 4421
 
5.3%
4 3923
 
4.7%
5 3473
 
4.2%
6 3425
 
4.1%
7 3191
 
3.8%
8 2845
 
3.4%
Other values (2) 5524
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105047
55.7%
ASCII 83533
44.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34736
41.6%
1 8808
 
10.5%
- 7866
 
9.4%
2 5321
 
6.4%
3 4421
 
5.3%
4 3923
 
4.7%
5 3473
 
4.2%
6 3425
 
4.1%
7 3191
 
3.8%
8 2845
 
3.4%
Other values (2) 5524
 
6.6%
Hangul
ValueCountFrequency (%)
시 9412
 
9.0%
동 8871
 
8.4%
도 6572
 
6.3%
구 5982
 
5.7%
경 4426
 
4.2%
기 4041
 
3.8%
주 2975
 
2.8%
산 2579
 
2.5%
남 2447
 
2.3%
리 2314
 
2.2%
Other values (315) 55428
52.8%

식당도로명주소
Text

Distinct9350
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:12:43.353153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length20.1387
Min length13

Characters and Unicode

Total characters201387
Distinct characters513
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8973 ?
Unique (%)89.7%

Sample

1st row제주특별자치도 서귀포시 대정읍 하모항구로 42
2nd row경기도 고양시 덕양구 삼송로185번길 5
3rd row서울특별시 강남구 역삼로3길 20-4
4th row서울특별시 마포구 포은로 106
5th row경기도 용인시 수지구 이종무로 157
ValueCountFrequency (%)
경기도 3749
 
8.4%
제주특별자치도 1078
 
2.4%
강원도 890
 
2.0%
부산광역시 852
 
1.9%
인천광역시 790
 
1.8%
제주시 663
 
1.5%
성남시 611
 
1.4%
분당구 523
 
1.2%
중구 516
 
1.2%
대전광역시 488
 
1.1%
Other values (8278) 34573
77.3%
2023-12-10T22:12:44.284926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
34737
 
17.2%
시 9606
 
4.8%
로 8320
 
4.1%
1 7601
 
3.8%
도 7510
 
3.7%
구 6014
 
3.0%
길 5243
 
2.6%
2 5029
 
2.5%
경 4591
 
2.3%
기 4050
 
2.0%
Other values (503) 108686
54.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 129128
64.1%
Decimal Number 35214
 
17.5%
Space Separator 34737
 
17.2%
Dash Punctuation 2301
 
1.1%
Uppercase Letter 4
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9606
 
7.4%
로 8320
 
6.4%
도 7510
 
5.8%
구 6014
 
4.7%
길 5243
 
4.1%
경 4591
 
3.6%
기 4050
 
3.1%
광 3328
 
2.6%
번 3121
 
2.4%
주 3074
 
2.4%
Other values (485) 74271
57.5%
Decimal Number
ValueCountFrequency (%)
1 7601
21.6%
2 5029
14.3%
3 3951
11.2%
4 3298
9.4%
5 3109
8.8%
6 2756
 
7.8%
7 2604
 
7.4%
0 2366
 
6.7%
8 2320
 
6.6%
9 2180
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
E 1
25.0%
C 1
25.0%
A 1
25.0%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Space Separator
ValueCountFrequency (%)
34737
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 129128
64.1%
Common 72255
35.9%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9606
 
7.4%
로 8320
 
6.4%
도 7510
 
5.8%
구 6014
 
4.7%
길 5243
 
4.1%
경 4591
 
3.6%
기 4050
 
3.1%
광 3328
 
2.6%
번 3121
 
2.4%
주 3074
 
2.4%
Other values (485) 74271
57.5%
Common
ValueCountFrequency (%)
34737
48.1%
1 7601
 
10.5%
2 5029
 
7.0%
3 3951
 
5.5%
4 3298
 
4.6%
5 3109
 
4.3%
6 2756
 
3.8%
7 2604
 
3.6%
0 2366
 
3.3%
8 2320
 
3.2%
Other values (4) 4484
 
6.2%
Latin
ValueCountFrequency (%)
P 1
25.0%
E 1
25.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 129128
64.1%
ASCII 72257
35.9%
None 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
34737
48.1%
1 7601
 
10.5%
2 5029
 
7.0%
3 3951
 
5.5%
4 3298
 
4.6%
5 3109
 
4.3%
6 2756
 
3.8%
7 2604
 
3.6%
0 2366
 
3.3%
8 2320
 
3.2%
Other values (7) 4486
 
6.2%
Hangul
ValueCountFrequency (%)
시 9606
 
7.4%
로 8320
 
6.4%
도 7510
 
5.8%
구 6014
 
4.7%
길 5243
 
4.1%
경 4591
 
3.6%
기 4050
 
3.1%
광 3328
 
2.6%
번 3121
 
2.4%
주 3074
 
2.4%
Other values (485) 74271
57.5%
None
ValueCountFrequency (%)
· 2
100.0%

식당위도좌표값
Real number (ℝ)

Distinct9639
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.46
Minimum33.208488
Maximum38.478578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:44.535909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.208488
5-th percentile33.456594
Q135.356079
median37.263554
Q337.478758
95-th percentile37.837624
Maximum38.478578
Range5.2700903
Interquartile range (IQR)2.1226783

Descriptive statistics

Standard deviation1.4018203
Coefficient of variation (CV)0.03844817
Kurtosis-0.18229097
Mean36.46
Median Absolute Deviation (MAD)0.49846674
Skewness-0.989684
Sum364600
Variance1.9651001
MonotonicityNot monotonic
2023-12-10T22:12:44.769600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.39354833 18
 
0.2%
37.54601984 11
 
0.1%
37.4126512 10
 
0.1%
37.39508229 8
 
0.1%
37.39759869 8
 
0.1%
37.64684605 8
 
0.1%
37.2903393 7
 
0.1%
35.16881319 6
 
0.1%
37.39504569 5
 
0.1%
37.39369459 5
 
0.1%
Other values (9629) 9914
99.1%
ValueCountFrequency (%)
33.2084877 1
< 0.1%
33.209776 1
< 0.1%
33.2116453 1
< 0.1%
33.21248245 1
< 0.1%
33.2165101 1
< 0.1%
33.21692276 1
< 0.1%
33.21767517 1
< 0.1%
33.2178484 1
< 0.1%
33.2180175 1
< 0.1%
33.21812057 1
< 0.1%
ValueCountFrequency (%)
38.47857795 1
< 0.1%
38.45438453 1
< 0.1%
38.4510294 1
< 0.1%
38.44737125 1
< 0.1%
38.37983556 1
< 0.1%
38.3796954 1
< 0.1%
38.37867752 1
< 0.1%
38.3755237 1
< 0.1%
38.3752432 1
< 0.1%
38.3727953 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9641
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.45801
Minimum126.14356
Maximum130.91036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:45.032099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.14356
5-th percentile126.47251
Q1126.79596
median127.11314
Q3128.0705
95-th percentile129.13241
Maximum130.91036
Range4.7667948
Interquartile range (IQR)1.2745447

Descriptive statistics

Standard deviation0.88818202
Coefficient of variation (CV)0.0069684286
Kurtosis-0.58544254
Mean127.45801
Median Absolute Deviation (MAD)0.37938844
Skewness0.87789522
Sum1274580.1
Variance0.7888673
MonotonicityNot monotonic
2023-12-10T22:12:45.298098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.11204583 18
 
0.2%
127.22430059 11
 
0.1%
127.12583327 10
 
0.1%
127.11376097 8
 
0.1%
126.89573866 8
 
0.1%
126.64995636 8
 
0.1%
127.05171089 7
 
0.1%
129.13077612 6
 
0.1%
126.65139013 5
 
0.1%
126.6461558 5
 
0.1%
Other values (9631) 9914
99.1%
ValueCountFrequency (%)
126.14356232 1
< 0.1%
126.1456065 1
< 0.1%
126.1463532 1
< 0.1%
126.1772852 1
< 0.1%
126.1800996 1
< 0.1%
126.1801519 1
< 0.1%
126.18489086 1
< 0.1%
126.1978674 1
< 0.1%
126.1980735 1
< 0.1%
126.2023852 1
< 0.1%
ValueCountFrequency (%)
130.91035707 1
< 0.1%
130.909705 1
< 0.1%
130.90795967 1
< 0.1%
130.8890269 1
< 0.1%
129.5801062 1
< 0.1%
129.5761115 1
< 0.1%
129.56918373 1
< 0.1%
129.56604004 1
< 0.1%
129.5639906 1
< 0.1%
129.5609436 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
만원 미만
5694 
만원-2만원
2673 
2만원-3만원
774 
<NA>
 
433
3만원-4만원
 
271

Length

Max length7
Median length5
Mean length5.4485
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2만원-3만원
2nd row2만원-3만원
3rd row만원-2만원
4th row만원 미만
5th row만원 미만

Common Values

ValueCountFrequency (%)
만원 미만 5694
56.9%
만원-2만원 2673
26.7%
2만원-3만원 774
 
7.7%
<NA> 433
 
4.3%
3만원-4만원 271
 
2.7%
4만원 이상 155
 
1.6%

Length

2023-12-10T22:12:45.859178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:12:46.025489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 5694
35.9%
미만 5694
35.9%
만원-2만원 2673
16.9%
2만원-3만원 774
 
4.9%
na 433
 
2.7%
3만원-4만원 271
 
1.7%
4만원 155
 
1.0%
이상 155
 
1.0%

음식대분류명
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
한식
6417 
카페
3281 
주점
 
302

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한식
2nd row주점
3rd row한식
4th row카페
5th row한식

Common Values

ValueCountFrequency (%)
한식 6417
64.2%
카페 3281
32.8%
주점 302
 
3.0%

Length

2023-12-10T22:12:46.215140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:12:46.379638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 6417
64.2%
카페 3281
32.8%
주점 302
 
3.0%

음식소분류명
Categorical

Distinct14
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
카페 / 디저트
2829 
고기 요리
1335 
해산물 요리
988 
한정식 / 백반 / 정통 한식
980 
국수 / 면 요리
956 
Other values (9)
2912 

Length

Max length16
Median length11
Mean length8.2174
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row해산물 요리
2nd row치킨 / 호프 / 펍
3rd row탕 / 찌개 / 전골
4th row카페 / 디저트
5th row국수 / 면 요리

Common Values

ValueCountFrequency (%)
카페 / 디저트 2829
28.3%
고기 요리 1335
13.4%
해산물 요리 988
 
9.9%
한정식 / 백반 / 정통 한식 980
 
9.8%
국수 / 면 요리 956
 
9.6%
탕 / 찌개 / 전골 855
 
8.6%
기타 한식 694
 
6.9%
닭 / 오리 요리 551
 
5.5%
베이커리 452
 
4.5%
치킨 / 호프 / 펍 130
 
1.3%
Other values (4) 230
 
2.3%

Length

2023-12-10T22:12:46.578609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8379
25.8%
요리 3830
11.8%
카페 2829
 
8.7%
디저트 2829
 
8.7%
한식 1732
 
5.3%
고기 1335
 
4.1%
해산물 988
 
3.0%
한정식 980
 
3.0%
백반 980
 
3.0%
정통 980
 
3.0%
Other values (19) 7564
23.3%

주차구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
무료주차 가능
4477 
주차공간없음
2679 
<NA>
1977 
유료주차 가능
812 
발렛
 
55

Length

Max length7
Median length7
Mean length6.1115
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료주차 가능
2nd row주차공간없음
3rd row주차공간없음
4th row주차공간없음
5th row무료주차 가능

Common Values

ValueCountFrequency (%)
무료주차 가능 4477
44.8%
주차공간없음 2679
26.8%
<NA> 1977
19.8%
유료주차 가능 812
 
8.1%
발렛 55
 
0.5%

Length

2023-12-10T22:12:46.916637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:12:47.215295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 5289
34.6%
무료주차 4477
29.3%
주차공간없음 2679
17.5%
na 1977
 
12.9%
유료주차 812
 
5.3%
발렛 55
 
0.4%

식당영업시간값
Text

MISSING 

Distinct1464
Distinct (%)17.5%
Missing1650
Missing (%)16.5%
Memory size78.3 KiB
2023-12-10T22:12:47.582748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length13
Mean length16.125988
Min length3

Characters and Unicode

Total characters134652
Distinct characters30
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

Unique1057 ?
Unique (%)12.7%

Sample

1st row11:30 - 22:00
2nd row16:00 - 02:00
3rd row월-금: 11:10 - 21:00, 토: 11:10 - 15:30
4th row12:30 - 20:00
5th row11:00 - 21:00
ValueCountFrequency (%)
9442
31.0%
11:00 2340
 
7.7%
22:00 2194
 
7.2%
21:00 1586
 
5.2%
10:00 1567
 
5.1%
23:00 873
 
2.9%
11:30 854
 
2.8%
20:00 803
 
2.6%
24:00 794
 
2.6%
12:00 776
 
2.5%
Other values (142) 9241
30.3%
2023-12-10T22:12:48.238333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40648
30.2%
22185
16.5%
: 21007
15.6%
1 13903
 
10.3%
2 11327
 
8.4%
- 11057
 
8.2%
3 4817
 
3.6%
9 1371
 
1.0%
, 1099
 
0.8%
4 1005
 
0.7%
Other values (20) 6233
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 75494
56.1%
Space Separator 22185
 
16.5%
Other Punctuation 22107
 
16.4%
Dash Punctuation 11057
 
8.2%
Other Letter 3809
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 943
24.8%
일 915
24.0%
월 824
21.6%
금 740
19.4%
목 166
 
4.4%
화 113
 
3.0%
수 40
 
1.1%
유 21
 
0.6%
동 21
 
0.6%
적 21
 
0.6%
Other values (5) 5
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 40648
53.8%
1 13903
 
18.4%
2 11327
 
15.0%
3 4817
 
6.4%
9 1371
 
1.8%
4 1005
 
1.3%
8 893
 
1.2%
7 715
 
0.9%
6 458
 
0.6%
5 357
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 21007
95.0%
, 1099
 
5.0%
! 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
22185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11057
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 130843
97.2%
Hangul 3809
 
2.8%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40648
31.1%
22185
17.0%
: 21007
16.1%
1 13903
 
10.6%
2 11327
 
8.7%
- 11057
 
8.5%
3 4817
 
3.7%
9 1371
 
1.0%
, 1099
 
0.8%
4 1005
 
0.8%
Other values (5) 2424
 
1.9%
Hangul
ValueCountFrequency (%)
토 943
24.8%
일 915
24.0%
월 824
21.6%
금 740
19.4%
목 166
 
4.4%
화 113
 
3.0%
수 40
 
1.1%
유 21
 
0.6%
동 21
 
0.6%
적 21
 
0.6%
Other values (5) 5
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 130843
97.2%
Hangul 3809
 
2.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40648
31.1%
22185
17.0%
: 21007
16.1%
1 13903
 
10.6%
2 11327
 
8.7%
- 11057
 
8.5%
3 4817
 
3.7%
9 1371
 
1.0%
, 1099
 
0.8%
4 1005
 
0.8%
Other values (5) 2424
 
1.9%
Hangul
ValueCountFrequency (%)
토 943
24.8%
일 915
24.0%
월 824
21.6%
금 740
19.4%
목 166
 
4.4%
화 113
 
3.0%
수 40
 
1.1%
유 21
 
0.6%
동 21
 
0.6%
적 21
 
0.6%
Other values (5) 5
 
0.1%

휴식시간내용
Text

MISSING 

Distinct91
Distinct (%)18.1%
Missing9497
Missing (%)95.0%
Memory size78.3 KiB
2023-12-10T22:12:48.701593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length13
Mean length14.658052
Min length13

Characters and Unicode

Total characters7373
Distinct characters20
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

Unique60 ?
Unique (%)11.9%

Sample

1st row월-금: 15:00 - 17:00
2nd row15:30 - 17:30
3rd row15:30 - 17:00
4th row16:00 - 17:00
5th row15:00 - 17:00
ValueCountFrequency (%)
523
31.2%
17:00 318
19.0%
15:00 268
16.0%
15:30 92
 
5.5%
16:00 89
 
5.3%
월-금 78
 
4.7%
16:30 70
 
4.2%
17:30 62
 
3.7%
14:30 57
 
3.4%
14:00 32
 
1.9%
Other values (34) 88
 
5.2%
2023-12-10T22:12:49.205305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1797
24.4%
1174
15.9%
: 1154
15.7%
1 1049
14.2%
- 629
 
8.5%
7 382
 
5.2%
5 370
 
5.0%
3 300
 
4.1%
6 159
 
2.2%
4 95
 
1.3%
Other values (10) 264
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4184
56.7%
Space Separator 1174
 
15.9%
Other Punctuation 1173
 
15.9%
Dash Punctuation 629
 
8.5%
Other Letter 213
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1797
42.9%
1 1049
25.1%
7 382
 
9.1%
5 370
 
8.8%
3 300
 
7.2%
6 159
 
3.8%
4 95
 
2.3%
8 19
 
0.5%
2 11
 
0.3%
9 2
 
< 0.1%
Other Letter
ValueCountFrequency (%)
금 84
39.4%
월 79
37.1%
토 23
 
10.8%
일 20
 
9.4%
화 4
 
1.9%
목 3
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 1154
98.4%
, 19
 
1.6%
Space Separator
ValueCountFrequency (%)
1174
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 629
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7160
97.1%
Hangul 213
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1797
25.1%
1174
16.4%
: 1154
16.1%
1 1049
14.7%
- 629
 
8.8%
7 382
 
5.3%
5 370
 
5.2%
3 300
 
4.2%
6 159
 
2.2%
4 95
 
1.3%
Other values (4) 51
 
0.7%
Hangul
ValueCountFrequency (%)
금 84
39.4%
월 79
37.1%
토 23
 
10.8%
일 20
 
9.4%
화 4
 
1.9%
목 3
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7160
97.1%
Hangul 213
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1797
25.1%
1174
16.4%
: 1154
16.1%
1 1049
14.7%
- 629
 
8.8%
7 382
 
5.3%
5 370
 
5.2%
3 300
 
4.2%
6 159
 
2.2%
4 95
 
1.3%
Other values (4) 51
 
0.7%
Hangul
ValueCountFrequency (%)
금 84
39.4%
월 79
37.1%
토 23
 
10.8%
일 20
 
9.4%
화 4
 
1.9%
목 3
 
1.4%

최종주문가능시간값
Text

MISSING 

Distinct111
Distinct (%)7.4%
Missing8493
Missing (%)84.9%
Memory size78.3 KiB
2023-12-10T22:12:49.513257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length5
Mean length5.4445919
Min length5

Characters and Unicode

Total characters8205
Distinct characters22
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique67 ?
Unique (%)4.4%

Sample

1st row20:30
2nd row20:20
3rd row월-금: 15:00, 토-일: 20:00
4th row20:50
5th row20:00
ValueCountFrequency (%)
21:00 317
19.5%
20:30 210
12.9%
20:00 177
10.9%
21:30 156
 
9.6%
22:00 93
 
5.7%
19:30 68
 
4.2%
22:30 62
 
3.8%
23:00 54
 
3.3%
19:00 48
 
3.0%
20:20 33
 
2.0%
Other values (77) 406
25.0%
2023-12-10T22:12:50.421546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2870
35.0%
: 1624
19.8%
2 1541
18.8%
1 825
 
10.1%
3 637
 
7.8%
9 137
 
1.7%
118
 
1.4%
4 102
 
1.2%
5 69
 
0.8%
- 53
 
0.6%
Other values (12) 229
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6240
76.1%
Other Punctuation 1674
 
20.4%
Space Separator 118
 
1.4%
Other Letter 118
 
1.4%
Dash Punctuation 53
 
0.6%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2870
46.0%
2 1541
24.7%
1 825
 
13.2%
3 637
 
10.2%
9 137
 
2.2%
4 102
 
1.6%
5 69
 
1.1%
8 34
 
0.5%
7 13
 
0.2%
6 12
 
0.2%
Other Letter
ValueCountFrequency (%)
일 33
28.0%
토 30
25.4%
월 26
22.0%
금 20
16.9%
목 6
 
5.1%
수 2
 
1.7%
화 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 1624
97.0%
, 50
 
3.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8087
98.6%
Hangul 118
 
1.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2870
35.5%
: 1624
20.1%
2 1541
19.1%
1 825
 
10.2%
3 637
 
7.9%
9 137
 
1.7%
118
 
1.5%
4 102
 
1.3%
5 69
 
0.9%
- 53
 
0.7%
Other values (5) 111
 
1.4%
Hangul
ValueCountFrequency (%)
일 33
28.0%
토 30
25.4%
월 26
22.0%
금 20
16.9%
목 6
 
5.1%
수 2
 
1.7%
화 1
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8087
98.6%
Hangul 118
 
1.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2870
35.5%
: 1624
20.1%
2 1541
19.1%
1 825
 
10.2%
3 637
 
7.9%
9 137
 
1.7%
118
 
1.5%
4 102
 
1.3%
5 69
 
0.9%
- 53
 
0.7%
Other values (5) 111
 
1.4%
Hangul
ValueCountFrequency (%)
일 33
28.0%
토 30
25.4%
월 26
22.0%
금 20
16.9%
목 6
 
5.1%
수 2
 
1.7%
화 1
 
0.8%

식당휴일내용
Text

MISSING 

Distinct137
Distinct (%)5.9%
Missing7685
Missing (%)76.8%
Memory size78.3 KiB
2023-12-10T22:12:50.716467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length1
Mean length2.4859611
Min length1

Characters and Unicode

Total characters5755
Distinct characters46
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

Unique70 ?
Unique (%)3.0%

Sample

1st row수
2nd row일
3rd row일
4th row월
5th row화
ValueCountFrequency (%)
일 852
27.5%
월 843
27.2%
화 416
13.4%
수 240
 
7.8%
둘째/넷째 153
 
4.9%
첫째/셋째 107
 
3.5%
목 80
 
2.6%
토 77
 
2.5%
첫째 60
 
1.9%
둘째 46
 
1.5%
Other values (32) 222
 
7.2%
2023-12-10T22:12:51.255350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 880
15.3%
월 845
14.7%
783
13.6%
째 748
13.0%
화 417
7.2%
, 307
 
5.3%
/ 292
 
5.1%
수 242
 
4.2%
둘 206
 
3.6%
넷 198
 
3.4%
Other values (36) 837
14.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4348
75.6%
Space Separator 783
 
13.6%
Other Punctuation 600
 
10.4%
Decimal Number 23
 
0.4%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 880
20.2%
월 845
19.4%
째 748
17.2%
화 417
9.6%
수 242
 
5.6%
둘 206
 
4.7%
넷 198
 
4.6%
첫 177
 
4.1%
셋 162
 
3.7%
목 80
 
1.8%
Other values (24) 393
9.0%
Decimal Number
ValueCountFrequency (%)
6 12
52.2%
1 5
21.7%
7 2
 
8.7%
9 1
 
4.3%
0 1
 
4.3%
4 1
 
4.3%
5 1
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 307
51.2%
/ 292
48.7%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
783
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4348
75.6%
Common 1407
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 880
20.2%
월 845
19.4%
째 748
17.2%
화 417
9.6%
수 242
 
5.6%
둘 206
 
4.7%
넷 198
 
4.6%
첫 177
 
4.1%
셋 162
 
3.7%
목 80
 
1.8%
Other values (24) 393
9.0%
Common
ValueCountFrequency (%)
783
55.7%
, 307
 
21.8%
/ 292
 
20.8%
6 12
 
0.9%
1 5
 
0.4%
7 2
 
0.1%
9 1
 
0.1%
. 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4348
75.6%
ASCII 1407
 
24.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 880
20.2%
월 845
19.4%
째 748
17.2%
화 417
9.6%
수 242
 
5.6%
둘 206
 
4.7%
넷 198
 
4.6%
첫 177
 
4.1%
셋 162
 
3.7%
목 80
 
1.8%
Other values (24) 393
9.0%
ASCII
ValueCountFrequency (%)
783
55.7%
, 307
 
21.8%
/ 292
 
20.8%
6 12
 
0.9%
1 5
 
0.4%
7 2
 
0.1%
9 1
 
0.1%
. 1
 
0.1%
0 1
 
0.1%
4 1
 
0.1%
Other values (2) 2
 
0.1%

메인메뉴내용
Text

MISSING 

Distinct185
Distinct (%)7.4%
Missing7512
Missing (%)75.1%
Memory size78.3 KiB
2023-12-10T22:12:51.789124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length5.5413987
Min length1

Characters and Unicode

Total characters13787
Distinct characters234
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique45 ?
Unique (%)1.8%

Sample

1st row횟집
2nd row호프집
3rd row전통순대 / 순대국밥 전문점
4th row젤라또 전문점
5th row메밀국수 / 막국수 전문점
ValueCountFrequency (%)
전문점 1280
29.2%
카페 799
18.2%
248
 
5.7%
베이커리 179
 
4.1%
칼국수 63
 
1.4%
메밀국수 53
 
1.2%
막국수 53
 
1.2%
횟집 47
 
1.1%
돼지고기구이 45
 
1.0%
한식 41
 
0.9%
Other values (200) 1578
36.0%
2023-12-10T22:12:52.638104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1898
 
13.8%
전 1367
 
9.9%
점 1296
 
9.4%
문 1281
 
9.3%
카 818
 
5.9%
페 807
 
5.9%
이 341
 
2.5%
국 319
 
2.3%
수 254
 
1.8%
/ 248
 
1.8%
Other values (224) 5158
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11639
84.4%
Space Separator 1898
 
13.8%
Other Punctuation 248
 
1.8%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1367
 
11.7%
점 1296
 
11.1%
문 1281
 
11.0%
카 818
 
7.0%
페 807
 
6.9%
이 341
 
2.9%
국 319
 
2.7%
수 254
 
2.2%
리 223
 
1.9%
베 181
 
1.6%
Other values (220) 4752
40.8%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
1898
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 248
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11639
84.4%
Common 2146
 
15.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1367
 
11.7%
점 1296
 
11.1%
문 1281
 
11.0%
카 818
 
7.0%
페 807
 
6.9%
이 341
 
2.9%
국 319
 
2.7%
수 254
 
2.2%
리 223
 
1.9%
베 181
 
1.6%
Other values (220) 4752
40.8%
Common
ValueCountFrequency (%)
1898
88.4%
/ 248
 
11.6%
Latin
ValueCountFrequency (%)
P 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11639
84.4%
ASCII 2148
 
15.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1898
88.4%
/ 248
 
11.5%
P 1
 
< 0.1%
L 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 1367
 
11.7%
점 1296
 
11.1%
문 1281
 
11.0%
카 818
 
7.0%
페 807
 
6.9%
이 341
 
2.9%
국 319
 
2.7%
수 254
 
2.2%
리 223
 
1.9%
베 181
 
1.6%
Other values (220) 4752
40.8%

식당평점값
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)0.8%
Missing7429
Missing (%)74.3%
Infinite0
Infinite (%)0.0%
Mean3.8007001
Minimum2.7
Maximum4.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:53.009243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.7
5-th percentile3.25
Q13.6
median3.9
Q34
95-th percentile4.3
Maximum4.7
Range2
Interquartile range (IQR)0.4

Descriptive statistics

Standard deviation0.32416234
Coefficient of variation (CV)0.085290165
Kurtosis0.010032031
Mean3.8007001
Median Absolute Deviation (MAD)0.2
Skewness-0.35938612
Sum9771.6
Variance0.10508122
MonotonicityDecreasing
2023-12-10T22:12:53.540073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
3.9 480
 
4.8%
4.0 263
 
2.6%
3.8 242
 
2.4%
3.6 231
 
2.3%
3.7 226
 
2.3%
4.1 212
 
2.1%
3.4 177
 
1.8%
3.5 167
 
1.7%
4.2 148
 
1.5%
4.3 141
 
1.4%
Other values (11) 284
 
2.8%
(Missing) 7429
74.3%
ValueCountFrequency (%)
2.7 3
 
< 0.1%
2.8 9
 
0.1%
2.9 12
 
0.1%
3.0 19
 
0.2%
3.1 41
 
0.4%
3.2 45
 
0.4%
3.3 96
1.0%
3.4 177
1.8%
3.5 167
1.7%
3.6 231
2.3%
ValueCountFrequency (%)
4.7 2
 
< 0.1%
4.6 13
 
0.1%
4.5 10
 
0.1%
4.4 34
 
0.3%
4.3 141
 
1.4%
4.2 148
 
1.5%
4.1 212
2.1%
4.0 263
2.6%
3.9 480
4.8%
3.8 242
2.4%

식당리뷰수
Real number (ℝ)

Distinct156
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.2412
Minimum3
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:54.044791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q14
median5
Q39
95-th percentile31
Maximum532
Range529
Interquartile range (IQR)5

Descriptive statistics

Standard deviation20.734074
Coefficient of variation (CV)2.0245746
Kurtosis132.61126
Mean10.2412
Median Absolute Deviation (MAD)2
Skewness9.6956922
Sum102412
Variance429.90181
MonotonicityNot monotonic
2023-12-10T22:12:54.370780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 2098
21.0%
3 2075
20.8%
5 1267
12.7%
6 838
 
8.4%
7 565
 
5.7%
8 439
 
4.4%
9 335
 
3.4%
10 248
 
2.5%
11 235
 
2.4%
12 185
 
1.8%
Other values (146) 1715
17.2%
ValueCountFrequency (%)
3 2075
20.8%
4 2098
21.0%
5 1267
12.7%
6 838
 
8.4%
7 565
 
5.7%
8 439
 
4.4%
9 335
 
3.4%
10 248
 
2.5%
11 235
 
2.4%
12 185
 
1.8%
ValueCountFrequency (%)
532 1
< 0.1%
383 1
< 0.1%
365 1
< 0.1%
335 1
< 0.1%
329 1
< 0.1%
307 1
< 0.1%
294 1
< 0.1%
293 1
< 0.1%
283 1
< 0.1%
279 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct6752
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9561.0067
Minimum25
Maximum383268
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:54.629408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile1368.75
Q12589.75
median4149.5
Q38481.5
95-th percentile33997.8
Maximum383268
Range383243
Interquartile range (IQR)5891.75

Descriptive statistics

Standard deviation19863.165
Coefficient of variation (CV)2.0775181
Kurtosis91.873794
Mean9561.0067
Median Absolute Deviation (MAD)1979.5
Skewness7.9563514
Sum95610067
Variance3.9454531 × 108
MonotonicityNot monotonic
2023-12-10T22:12:54.899415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2023 8
 
0.1%
2083 8
 
0.1%
2564 8
 
0.1%
3181 7
 
0.1%
2738 7
 
0.1%
2052 7
 
0.1%
2060 7
 
0.1%
2238 7
 
0.1%
2288 7
 
0.1%
2459 6
 
0.1%
Other values (6742) 9928
99.3%
ValueCountFrequency (%)
25 1
< 0.1%
39 1
< 0.1%
50 1
< 0.1%
55 1
< 0.1%
67 1
< 0.1%
91 1
< 0.1%
118 1
< 0.1%
155 1
< 0.1%
166 1
< 0.1%
169 1
< 0.1%
ValueCountFrequency (%)
383268 1
< 0.1%
342651 1
< 0.1%
341111 1
< 0.1%
330008 1
< 0.1%
318969 1
< 0.1%
305897 1
< 0.1%
296191 1
< 0.1%
285424 1
< 0.1%
281501 1
< 0.1%
278609 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct956
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean145.0528
Minimum0
Maximum6590
Zeros20
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:12:55.189632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q119
median41.5
Q3116
95-th percentile582
Maximum6590
Range6590
Interquartile range (IQR)97

Descriptive statistics

Standard deviation376.59422
Coefficient of variation (CV)2.5962561
Kurtosis86.502112
Mean145.0528
Median Absolute Deviation (MAD)29.5
Skewness7.9226286
Sum1450528
Variance141823.2
MonotonicityNot monotonic
2023-12-10T22:12:55.512639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 175
 
1.8%
16 167
 
1.7%
19 162
 
1.6%
12 162
 
1.6%
20 162
 
1.6%
10 161
 
1.6%
13 161
 
1.6%
14 159
 
1.6%
15 153
 
1.5%
18 149
 
1.5%
Other values (946) 8389
83.9%
ValueCountFrequency (%)
0 20
 
0.2%
1 47
 
0.5%
2 67
 
0.7%
3 100
1.0%
4 84
0.8%
5 121
1.2%
6 142
1.4%
7 144
1.4%
8 175
1.8%
9 137
1.4%
ValueCountFrequency (%)
6590 1
< 0.1%
6550 1
< 0.1%
6183 1
< 0.1%
5879 1
< 0.1%
5568 1
< 0.1%
5550 1
< 0.1%
5519 1
< 0.1%
5299 1
< 0.1%
5294 1
< 0.1%
5110 1
< 0.1%

대상기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
202108
10000 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row202108
2nd row202108
3rd row202108
4th row202108
5th row202108

Common Values

ValueCountFrequency (%)
202108 10000
100.0%

Length

2023-12-10T22:12:55.860926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:12:56.066391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
0202108a6KR_fF0jA미영이네식당<NA>064-792-0077제주 서귀포시 대정읍 하모리 770-29제주특별자치도 서귀포시 대정읍 하모항구로 4233.217675126.2498382만원-3만원한식해산물 요리무료주차 가능11:30 - 22:00<NA>20:30수횟집4.7711543683383202108
12021081EQ02fd9oo용산소세지전문점<NA>0507-1335-9502경기도 고양시 덕양구 삼송동 33-13경기도 고양시 덕양구 삼송로185번길 537.653908126.8942272만원-3만원주점치킨 / 호프 / 펍주차공간없음16:00 - 02:00<NA><NA>일호프집4.7491058782455202108
2202108vnc0i7l-fd농민백암왕순대강남역점02-501-2772서울시 강남구 역삼동 830-9서울특별시 강남구 역삼로3길 20-437.494923127.031503만원-2만원한식탕 / 찌개 / 전골주차공간없음월-금: 11:10 - 21:00, 토: 11:10 - 15:30<NA><NA>일전통순대 / 순대국밥 전문점4.62203832685550202108
32021080my2hMzHlOYD당도<NA>070-8690-1088서울시 마포구 망원동 414-16서울특별시 마포구 포은로 10637.556425126.904873만원 미만카페카페 / 디저트주차공간없음12:30 - 20:00<NA><NA>월젤라또 전문점4.62131315254156202108
4202108asbzWXaJjd고기리막국수<NA>031-263-1107경기도 용인시 수지구 고기동 593-4경기도 용인시 수지구 이종무로 15737.359997127.040091만원 미만한식국수 / 면 요리무료주차 가능11:00 - 21:00<NA>20:20화메밀국수 / 막국수 전문점4.61721185552980202108
52021085SiFoyakrq광릉한옥집<NA>031-574-6630경기도 남양주시 진접읍 부평리 602-1경기도 남양주시 진접읍 광릉내로 3637.743017127.199351만원-2만원한식고기 요리주차공간없음월-금: 11:00 - 15:50, 토-일: 11:00 - 20:50<NA>월-금: 15:00, 토-일: 20:00화불고기 전문점4.61042961913631202108
62021080b91aGscz-상춘재<NA>064-725-1557제주 제주시 조천읍 선흘리 1829-11제주특별자치도 제주시 조천읍 선진길 2633.458687126.704663만원-2만원한식한정식 / 백반 / 정통 한식무료주차 가능10:00 - 16:00<NA><NA>월비빔밥 전문점4.6993426515299202108
7202108-e6QgFLyS7남양수산<NA>064-782-6618제주 서귀포시 성산읍 고성리 1191-6제주특별자치도 서귀포시 성산읍 고성동서로56번길 1133.45007126.9141014만원 이상한식해산물 요리주차공간없음14:00 - 20:00<NA><NA><NA>횟집4.6933300084640202108
8202108O3-MHrWhte선흘곶<NA>064-783-5753제주 제주시 조천읍 선흘리 산22제주특별자치도 제주시 조천읍 동백로 10233.508423126.717775만원-2만원한식한정식 / 백반 / 정통 한식무료주차 가능10:30 - 20:00<NA><NA>화쌈밥 전문점4.6811673893625202108
9202108chRlP6_axm심학산도토리국수파주본점031-941-3628경기도 파주시 동패동 1096-4경기도 파주시 교하로681번길 1237.709419126.703936만원-2만원한식한정식 / 백반 / 정통 한식무료주차 가능10:30 - 21:00<NA><NA><NA>도토리요리 전문점4.6761624891962202108
기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
9990202108nDgrUpBgCY알선식당<NA>061-744-7103전라남도 순천시 조곡동 159-13전라남도 순천시 역전광장2길 734.944984127.500969만원-2만원한식한정식 / 백반 / 정통 한식무료주차 가능09:00 - 20:30<NA><NA><NA><NA><NA>319677202108
9991202108OcgHbL7E3rqr레이크<NA>031-915-8433경기도 고양시 일산서구 주엽동 18-2경기도 고양시 일산서구 중앙로 145637.671433126.75894만원 미만카페베이커리유료주차 가능07:00 - 24:00<NA><NA><NA><NA><NA>3196720202108
9992202108V-BbAYfnCr마시왕잔치국수<NA>031-261-6601경기도 용인시 수지구 풍덕천동 522-2경기도 용인시 수지구 풍덕천로22번길 2837.31532127.079294<NA>한식국수 / 면 요리<NA><NA><NA><NA><NA><NA><NA>3196616202108
9993202108zPDvAAohwu설빙경기수원영통점031-204-3777경기도 수원시 영통구 영통동 998-6경기도 수원시 영통구 청명남로 2137.251958127.074618만원 미만카페카페 / 디저트무료주차 가능10:00 - 22:30<NA><NA><NA><NA><NA>319656202108
9994202108NdPiYVWLo5도남오거리도남<NA>064-722-4844제주 제주시 도남동 909제주특별자치도 제주시 도남로6길 1633.496549126.5260913만원-4만원한식고기 요리무료주차 가능10:00 - 24:00<NA>22:10<NA><NA><NA>3196436202108
9995202108orN6T-ytYj7p등촌샤브칼국수<NA>031-385-4279경기도 안양시 동안구 호계동 1045-7경기도 안양시 동안구 평촌대로223번길 4837.390762126.953179만원-2만원한식탕 / 찌개 / 전골<NA><NA><NA><NA><NA><NA><NA>3196418202108
9996202108EZDjYBx9G0정호닭갈비<NA>033-263-2823강원도 춘천시 남산면 백양리 429-5강원도 춘천시 남산면 서백길 14037.836351127.554751<NA>한식닭 / 오리 요리<NA><NA><NA><NA><NA><NA><NA>319632202108
9997202108pthb9NwIo1모리쉬<NA>033-762-6916강원도 원주시 단구동 1669-4강원도 원주시 단관길 110-737.31992127.958199<NA>카페카페 / 디저트<NA><NA><NA><NA><NA><NA><NA>3196336202108
9998202108ByaHuP_Ckh1d순우리한우<NA>031-716-7896경기도 성남시 분당구 금곡동 106-2경기도 성남시 분당구 쇳골로17번길 337.362676127.0994072만원-3만원한식고기 요리무료주차 가능10:30 - 22:00<NA>21:00<NA><NA><NA>3196315202108
9999202108LIsBfMZGRKwX던킨도너츠전곡터미널점031-833-9869경기도 연천군 전곡읍 전곡리 466-9경기도 연천군 전곡읍 온골로 5438.025621127.067967만원 미만카페카페 / 디저트무료주차 가능10:00 - 23:00<NA><NA><NA><NA><NA>319632202108