Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells38348
Missing cells (%)16.7%
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=SET0400011

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7274 (72.7%) missing valuesMissing
대표전화번호 has 241 (2.4%) missing valuesMissing
식당영업시간값 has 780 (7.8%) missing valuesMissing
휴식시간내용 has 8436 (84.4%) missing valuesMissing
최종주문가능시간값 has 7886 (78.9%) missing valuesMissing
식당휴일내용 has 7290 (72.9%) missing valuesMissing
메인메뉴내용 has 3304 (33.0%) missing valuesMissing
식당평점값 has 3137 (31.4%) missing valuesMissing
식당ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:10:47.438181
Analysis finished2023-12-10 13:10:52.075895
Duration4.64 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

2023-12-10T22:10:52.289477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:10:52.463419image/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
2023-12-10T22:10:52.877593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.9286
Min length10

Characters and Unicode

Total characters109286
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 rowiMRRP69qtkeO
2nd row-xVh_QZrOMo3
3rd rowsyba5M_Z_uYd
4th rowKU-4QO6Yvt
5th rowmfwd78vEtS
ValueCountFrequency (%)
imrrp69qtkeo 1
 
< 0.1%
kjwprfmfof 1
 
< 0.1%
3o8t29vw6w 1
 
< 0.1%
og2npxgwir 1
 
< 0.1%
au_egi3dkzqv 1
 
< 0.1%
m5eepc-zdz 1
 
< 0.1%
19ycgypmlp 1
 
< 0.1%
8di8uyz6yx 1
 
< 0.1%
batu_uzvad 1
 
< 0.1%
vt2bexoh14 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:10:53.559699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
E 1806
 
1.7%
3 1791
 
1.6%
J 1762
 
1.6%
B 1760
 
1.6%
h 1759
 
1.6%
O 1758
 
1.6%
- 1756
 
1.6%
o 1755
 
1.6%
j 1754
 
1.6%
H 1752
 
1.6%
Other values (54) 91633
83.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 44344
40.6%
Lowercase Letter 44251
40.5%
Decimal Number 17222
 
15.8%
Dash Punctuation 1756
 
1.6%
Connector Punctuation 1713
 
1.6%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
E 1806
 
4.1%
J 1762
 
4.0%
B 1760
 
4.0%
O 1758
 
4.0%
H 1752
 
4.0%
I 1735
 
3.9%
V 1731
 
3.9%
S 1728
 
3.9%
R 1726
 
3.9%
K 1725
 
3.9%
Other values (16) 26861
60.6%
Lowercase Letter
ValueCountFrequency (%)
h 1759
 
4.0%
o 1755
 
4.0%
j 1754
 
4.0%
u 1751
 
4.0%
w 1742
 
3.9%
e 1737
 
3.9%
g 1730
 
3.9%
a 1723
 
3.9%
f 1721
 
3.9%
l 1717
 
3.9%
Other values (16) 26862
60.7%
Decimal Number
ValueCountFrequency (%)
3 1791
10.4%
9 1750
10.2%
2 1748
10.1%
7 1726
10.0%
8 1711
9.9%
4 1710
9.9%
1 1709
9.9%
0 1707
9.9%
5 1701
9.9%
6 1669
9.7%
Dash Punctuation
ValueCountFrequency (%)
- 1756
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1713
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 88595
81.1%
Common 20691
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
E 1806
 
2.0%
J 1762
 
2.0%
B 1760
 
2.0%
h 1759
 
2.0%
O 1758
 
2.0%
o 1755
 
2.0%
j 1754
 
2.0%
H 1752
 
2.0%
u 1751
 
2.0%
w 1742
 
2.0%
Other values (42) 70996
80.1%
Common
ValueCountFrequency (%)
3 1791
8.7%
- 1756
8.5%
9 1750
8.5%
2 1748
8.4%
7 1726
8.3%
_ 1713
8.3%
8 1711
8.3%
4 1710
8.3%
1 1709
8.3%
0 1707
8.2%
Other values (2) 3370
16.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 109286
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
E 1806
 
1.7%
3 1791
 
1.6%
J 1762
 
1.6%
B 1760
 
1.6%
h 1759
 
1.6%
O 1758
 
1.6%
- 1756
 
1.6%
o 1755
 
1.6%
j 1754
 
1.6%
H 1752
 
1.6%
Other values (54) 91633
83.8%

식당명
Text

Distinct8687
Distinct (%)86.9%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:10:54.032651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length4.8773
Min length1

Characters and Unicode

Total characters48773
Distinct characters1145
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

Unique7963 ?
Unique (%)79.6%

Sample

1st row미라이
2nd row호반
3rd row타쿠미곤
4th row마루심
5th row파씨오네
ValueCountFrequency (%)
카페 51
 
0.5%
휴업중 33
 
0.3%
설빙 22
 
0.2%
스타벅스 14
 
0.1%
카페마마스 13
 
0.1%
커피 13
 
0.1%
봉추찜닭 12
 
0.1%
cafe 11
 
0.1%
아티제 11
 
0.1%
아비꼬 11
 
0.1%
Other values (8961) 10324
98.2%
2023-12-10T22:10:54.728487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1462
 
3.0%
이 1394
 
2.9%
리 941
 
1.9%
라 639
 
1.3%
피 600
 
1.2%
카 555
 
1.1%
534
 
1.1%
수 523
 
1.1%
국 489
 
1.0%
커 484
 
1.0%
Other values (1135) 41152
84.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46586
95.5%
Decimal Number 715
 
1.5%
Space Separator 534
 
1.1%
Lowercase Letter 467
 
1.0%
Uppercase Letter 361
 
0.7%
Close Punctuation 38
 
0.1%
Open Punctuation 38
 
0.1%
Other Punctuation 27
 
0.1%
Dash Punctuation 7
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1462
 
3.1%
이 1394
 
3.0%
리 941
 
2.0%
라 639
 
1.4%
피 600
 
1.3%
카 555
 
1.2%
수 523
 
1.1%
국 489
 
1.0%
커 484
 
1.0%
아 477
 
1.0%
Other values (1066) 39022
83.8%
Uppercase Letter
ValueCountFrequency (%)
B 32
 
8.9%
E 29
 
8.0%
T 27
 
7.5%
C 27
 
7.5%
A 25
 
6.9%
O 25
 
6.9%
S 25
 
6.9%
P 20
 
5.5%
N 18
 
5.0%
L 18
 
5.0%
Other values (16) 115
31.9%
Lowercase Letter
ValueCountFrequency (%)
e 85
18.2%
a 43
 
9.2%
o 41
 
8.8%
t 32
 
6.9%
r 28
 
6.0%
s 25
 
5.4%
f 24
 
5.1%
i 22
 
4.7%
n 22
 
4.7%
u 20
 
4.3%
Other values (15) 125
26.8%
Decimal Number
ValueCountFrequency (%)
1 137
19.2%
2 89
12.4%
3 78
10.9%
9 75
10.5%
0 70
9.8%
8 68
9.5%
4 61
8.5%
5 58
8.1%
7 44
 
6.2%
6 35
 
4.9%
Other Punctuation
ValueCountFrequency (%)
. 13
48.1%
& 9
33.3%
, 4
 
14.8%
? 1
 
3.7%
Space Separator
ValueCountFrequency (%)
534
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46586
95.5%
Common 1359
 
2.8%
Latin 828
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1462
 
3.1%
이 1394
 
3.0%
리 941
 
2.0%
라 639
 
1.4%
피 600
 
1.3%
카 555
 
1.2%
수 523
 
1.1%
국 489
 
1.0%
커 484
 
1.0%
아 477
 
1.0%
Other values (1066) 39022
83.8%
Latin
ValueCountFrequency (%)
e 85
 
10.3%
a 43
 
5.2%
o 41
 
5.0%
t 32
 
3.9%
B 32
 
3.9%
E 29
 
3.5%
r 28
 
3.4%
T 27
 
3.3%
C 27
 
3.3%
A 25
 
3.0%
Other values (41) 459
55.4%
Common
ValueCountFrequency (%)
534
39.3%
1 137
 
10.1%
2 89
 
6.5%
3 78
 
5.7%
9 75
 
5.5%
0 70
 
5.2%
8 68
 
5.0%
4 61
 
4.5%
5 58
 
4.3%
7 44
 
3.2%
Other values (8) 145
 
10.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46585
95.5%
ASCII 2187
 
4.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1462
 
3.1%
이 1394
 
3.0%
리 941
 
2.0%
라 639
 
1.4%
피 600
 
1.3%
카 555
 
1.2%
수 523
 
1.1%
국 489
 
1.0%
커 484
 
1.0%
아 477
 
1.0%
Other values (1065) 39021
83.8%
ASCII
ValueCountFrequency (%)
534
24.4%
1 137
 
6.3%
2 89
 
4.1%
e 85
 
3.9%
3 78
 
3.6%
9 75
 
3.4%
0 70
 
3.2%
8 68
 
3.1%
4 61
 
2.8%
5 58
 
2.7%
Other values (59) 932
42.6%
Compat Jamo
ValueCountFrequency (%)
ㅊ 1
100.0%

지점명
Text

MISSING 

Distinct1000
Distinct (%)36.7%
Missing7274
Missing (%)72.7%
Memory size78.3 KiB
2023-12-10T22:10:55.215841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length4.2725605
Min length2

Characters and Unicode

Total characters11647
Distinct characters400
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

Unique681 ?
Unique (%)25.0%

Sample

1st row홍대본점
2nd row서울신라호텔
3rd row신사점
4th row서울신라호텔
5th row마포점
ValueCountFrequency (%)
본점 339
 
11.4%
강남점 64
 
2.2%
홍대점 49
 
1.7%
1호점 44
 
1.5%
판교점 44
 
1.5%
현대백화점 41
 
1.4%
신촌점 39
 
1.3%
2호점 37
 
1.2%
역삼점 35
 
1.2%
강남역점 33
 
1.1%
Other values (997) 2240
75.5%
2023-12-10T22:10:56.063349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2648
 
22.7%
본 512
 
4.4%
대 362
 
3.1%
243
 
2.1%
남 192
 
1.6%
호 186
 
1.6%
역 179
 
1.5%
서 167
 
1.4%
신 161
 
1.4%
스 160
 
1.4%
Other values (390) 6837
58.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11100
95.3%
Space Separator 243
 
2.1%
Decimal Number 163
 
1.4%
Uppercase Letter 135
 
1.2%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2648
23.9%
본 512
 
4.6%
대 362
 
3.3%
남 192
 
1.7%
호 186
 
1.7%
역 179
 
1.6%
서 167
 
1.5%
신 161
 
1.5%
스 160
 
1.4%
동 155
 
1.4%
Other values (358) 6378
57.5%
Uppercase Letter
ValueCountFrequency (%)
C 24
17.8%
F 18
13.3%
S 12
8.9%
D 10
 
7.4%
I 10
 
7.4%
T 9
 
6.7%
G 9
 
6.7%
W 6
 
4.4%
J 5
 
3.7%
A 5
 
3.7%
Other values (11) 27
20.0%
Decimal Number
ValueCountFrequency (%)
1 67
41.1%
2 59
36.2%
4 14
 
8.6%
3 14
 
8.6%
9 5
 
3.1%
6 2
 
1.2%
5 1
 
0.6%
0 1
 
0.6%
Space Separator
ValueCountFrequency (%)
243
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11100
95.3%
Common 412
 
3.5%
Latin 135
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2648
23.9%
본 512
 
4.6%
대 362
 
3.3%
남 192
 
1.7%
호 186
 
1.7%
역 179
 
1.6%
서 167
 
1.5%
신 161
 
1.5%
스 160
 
1.4%
동 155
 
1.4%
Other values (358) 6378
57.5%
Latin
ValueCountFrequency (%)
C 24
17.8%
F 18
13.3%
S 12
8.9%
D 10
 
7.4%
I 10
 
7.4%
T 9
 
6.7%
G 9
 
6.7%
W 6
 
4.4%
J 5
 
3.7%
A 5
 
3.7%
Other values (11) 27
20.0%
Common
ValueCountFrequency (%)
243
59.0%
1 67
 
16.3%
2 59
 
14.3%
4 14
 
3.4%
3 14
 
3.4%
9 5
 
1.2%
( 3
 
0.7%
) 3
 
0.7%
6 2
 
0.5%
5 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11100
95.3%
ASCII 547
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2648
23.9%
본 512
 
4.6%
대 362
 
3.3%
남 192
 
1.7%
호 186
 
1.7%
역 179
 
1.6%
서 167
 
1.5%
신 161
 
1.5%
스 160
 
1.4%
동 155
 
1.4%
Other values (358) 6378
57.5%
ASCII
ValueCountFrequency (%)
243
44.4%
1 67
 
12.2%
2 59
 
10.8%
C 24
 
4.4%
F 18
 
3.3%
4 14
 
2.6%
3 14
 
2.6%
S 12
 
2.2%
D 10
 
1.8%
I 10
 
1.8%
Other values (22) 76
 
13.9%

대표전화번호
Text

MISSING 

Distinct9748
Distinct (%)99.9%
Missing241
Missing (%)2.4%
Memory size78.3 KiB
2023-12-10T22:10:56.515513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.84978
Min length9

Characters and Unicode

Total characters115642
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9739 ?
Unique (%)99.8%

Sample

1st row02-540-0934
2nd row02-745-6618
3rd row02-595-1935
4th row02-592-8998
5th row02-546-7719
ValueCountFrequency (%)
1588-8069 3
 
< 0.1%
02-6388-5500 3
 
< 0.1%
064-735-5587 2
 
< 0.1%
033-648-2760 2
 
< 0.1%
070-8860-5287 2
 
< 0.1%
1577-9042 2
 
< 0.1%
051-990-1234 2
 
< 0.1%
1522-3232 2
 
< 0.1%
02-334-9245 2
 
< 0.1%
02-466-8790 1
 
< 0.1%
Other values (9738) 9738
99.8%
2023-12-10T22:10:57.123672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19486
16.9%
0 17767
15.4%
2 13033
11.3%
3 11157
9.6%
1 9167
7.9%
7 8931
7.7%
5 8598
7.4%
4 7743
 
6.7%
6 7068
 
6.1%
8 6950
 
6.0%
Other values (2) 5742
 
5.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 96155
83.1%
Dash Punctuation 19486
 
16.9%
Control 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17767
18.5%
2 13033
13.6%
3 11157
11.6%
1 9167
9.5%
7 8931
9.3%
5 8598
8.9%
4 7743
8.1%
6 7068
 
7.4%
8 6950
 
7.2%
9 5741
 
6.0%
Dash Punctuation
ValueCountFrequency (%)
- 19486
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115642
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19486
16.9%
0 17767
15.4%
2 13033
11.3%
3 11157
9.6%
1 9167
7.9%
7 8931
7.7%
5 8598
7.4%
4 7743
 
6.7%
6 7068
 
6.1%
8 6950
 
6.0%
Other values (2) 5742
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115642
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19486
16.9%
0 17767
15.4%
2 13033
11.3%
3 11157
9.6%
1 9167
7.9%
7 8931
7.7%
5 8598
7.4%
4 7743
 
6.7%
6 7068
 
6.1%
8 6950
 
6.0%
Other values (2) 5742
 
5.0%

식당지번주소
Text

Distinct8950
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:10:57.695563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length18.0405
Min length11

Characters and Unicode

Total characters180405
Distinct characters319
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

Unique8385 ?
Unique (%)83.9%

Sample

1st row서울시 강남구 신사동 557-25
2nd row서울시 종로구 낙원동 85-7
3rd row서울시 서초구 반포동 107-45
4th row서울시 서초구 반포동 54-10
5th row서울시 강남구 신사동 646-23
ValueCountFrequency (%)
서울시 4769
 
11.2%
경기도 1937
 
4.6%
강남구 1035
 
2.4%
마포구 710
 
1.7%
제주 672
 
1.6%
중구 569
 
1.3%
용산구 502
 
1.2%
강원도 490
 
1.2%
인천시 460
 
1.1%
부산시 458
 
1.1%
Other values (9231) 30844
72.7%
2023-12-10T22:10:58.463864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32452
 
18.0%
동 9761
 
5.4%
시 9743
 
5.4%
1 8783
 
4.9%
- 8163
 
4.5%
구 8037
 
4.5%
서 6570
 
3.6%
2 5404
 
3.0%
울 4816
 
2.7%
3 4566
 
2.5%
Other values (309) 82110
45.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 98537
54.6%
Decimal Number 41253
22.9%
Space Separator 32452
 
18.0%
Dash Punctuation 8163
 
4.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9761
 
9.9%
시 9743
 
9.9%
구 8037
 
8.2%
서 6570
 
6.7%
울 4816
 
4.9%
도 3526
 
3.6%
남 2650
 
2.7%
경 2232
 
2.3%
기 2098
 
2.1%
강 1893
 
1.9%
Other values (297) 47211
47.9%
Decimal Number
ValueCountFrequency (%)
1 8783
21.3%
2 5404
13.1%
3 4566
11.1%
4 3995
9.7%
5 3726
9.0%
6 3523
8.5%
7 3039
 
7.4%
8 2958
 
7.2%
9 2745
 
6.7%
0 2514
 
6.1%
Space Separator
ValueCountFrequency (%)
32452
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8163
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 98537
54.6%
Common 81868
45.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9761
 
9.9%
시 9743
 
9.9%
구 8037
 
8.2%
서 6570
 
6.7%
울 4816
 
4.9%
도 3526
 
3.6%
남 2650
 
2.7%
경 2232
 
2.3%
기 2098
 
2.1%
강 1893
 
1.9%
Other values (297) 47211
47.9%
Common
ValueCountFrequency (%)
32452
39.6%
1 8783
 
10.7%
- 8163
 
10.0%
2 5404
 
6.6%
3 4566
 
5.6%
4 3995
 
4.9%
5 3726
 
4.6%
6 3523
 
4.3%
7 3039
 
3.7%
8 2958
 
3.6%
Other values (2) 5259
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 98537
54.6%
ASCII 81868
45.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32452
39.6%
1 8783
 
10.7%
- 8163
 
10.0%
2 5404
 
6.6%
3 4566
 
5.6%
4 3995
 
4.9%
5 3726
 
4.6%
6 3523
 
4.3%
7 3039
 
3.7%
8 2958
 
3.6%
Other values (2) 5259
 
6.4%
Hangul
ValueCountFrequency (%)
동 9761
 
9.9%
시 9743
 
9.9%
구 8037
 
8.2%
서 6570
 
6.7%
울 4816
 
4.9%
도 3526
 
3.6%
남 2650
 
2.7%
경 2232
 
2.3%
기 2098
 
2.1%
강 1893
 
1.9%
Other values (297) 47211
47.9%

식당도로명주소
Text

Distinct8956
Distinct (%)89.6%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:10:58.974986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length19.6461
Min length13

Characters and Unicode

Total characters196461
Distinct characters467
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

Unique8392 ?
Unique (%)83.9%

Sample

1st row서울특별시 강남구 논현로153길 24
2nd row서울특별시 종로구 삼일대로26길 20
3rd row서울특별시 서초구 사평대로18길 10
4th row서울특별시 서초구 고무래로10길 10
5th row서울특별시 강남구 언주로164길 39
ValueCountFrequency (%)
서울특별시 4769
 
11.2%
경기도 1937
 
4.6%
강남구 1035
 
2.4%
마포구 710
 
1.7%
제주특별자치도 672
 
1.6%
중구 569
 
1.3%
용산구 502
 
1.2%
강원도 491
 
1.2%
인천광역시 458
 
1.1%
부산광역시 457
 
1.1%
Other values (6903) 30854
72.7%
2023-12-10T22:10:59.794209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32459
 
16.5%
시 9869
 
5.0%
로 9262
 
4.7%
구 8144
 
4.1%
1 7518
 
3.8%
서 6442
 
3.3%
길 5944
 
3.0%
별 5473
 
2.8%
특 5466
 
2.8%
2 5189
 
2.6%
Other values (457) 100695
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127018
64.7%
Decimal Number 34998
 
17.8%
Space Separator 32459
 
16.5%
Dash Punctuation 1982
 
1.0%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9869
 
7.8%
로 9262
 
7.3%
구 8144
 
6.4%
서 6442
 
5.1%
길 5944
 
4.7%
별 5473
 
4.3%
특 5466
 
4.3%
울 4934
 
3.9%
도 4121
 
3.2%
대 2761
 
2.2%
Other values (444) 64602
50.9%
Decimal Number
ValueCountFrequency (%)
1 7518
21.5%
2 5189
14.8%
3 3919
11.2%
4 3391
9.7%
5 3152
9.0%
6 2728
 
7.8%
7 2551
 
7.3%
0 2262
 
6.5%
8 2198
 
6.3%
9 2090
 
6.0%
Space Separator
ValueCountFrequency (%)
32459
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1982
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127018
64.7%
Common 69443
35.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9869
 
7.8%
로 9262
 
7.3%
구 8144
 
6.4%
서 6442
 
5.1%
길 5944
 
4.7%
별 5473
 
4.3%
특 5466
 
4.3%
울 4934
 
3.9%
도 4121
 
3.2%
대 2761
 
2.2%
Other values (444) 64602
50.9%
Common
ValueCountFrequency (%)
32459
46.7%
1 7518
 
10.8%
2 5189
 
7.5%
3 3919
 
5.6%
4 3391
 
4.9%
5 3152
 
4.5%
6 2728
 
3.9%
7 2551
 
3.7%
0 2262
 
3.3%
8 2198
 
3.2%
Other values (3) 4076
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127018
64.7%
ASCII 69443
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32459
46.7%
1 7518
 
10.8%
2 5189
 
7.5%
3 3919
 
5.6%
4 3391
 
4.9%
5 3152
 
4.5%
6 2728
 
3.9%
7 2551
 
3.7%
0 2262
 
3.3%
8 2198
 
3.2%
Other values (3) 4076
 
5.9%
Hangul
ValueCountFrequency (%)
시 9869
 
7.8%
로 9262
 
7.3%
구 8144
 
6.4%
서 6442
 
5.1%
길 5944
 
4.7%
별 5473
 
4.3%
특 5466
 
4.3%
울 4934
 
3.9%
도 4121
 
3.2%
대 2761
 
2.2%
Other values (444) 64602
50.9%

식당위도좌표값
Real number (ℝ)

Distinct9440
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.95143
Minimum33.209776
Maximum38.478578
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:00.140928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.209776
5-th percentile33.497462
Q137.250024
median37.504497
Q337.556428
95-th percentile37.736256
Maximum38.478578
Range5.268802
Interquartile range (IQR)0.30640479

Descriptive statistics

Standard deviation1.1982027
Coefficient of variation (CV)0.032426423
Kurtosis2.6961894
Mean36.95143
Median Absolute Deviation (MAD)0.07563625
Skewness-1.949288
Sum369514.3
Variance1.4356897
MonotonicityNot monotonic
2023-12-10T22:11:00.372806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51419392 30
 
0.3%
37.51148311 23
 
0.2%
37.39354833 18
 
0.2%
37.50555211 15
 
0.1%
37.39759869 11
 
0.1%
37.51232892 10
 
0.1%
37.50884302 8
 
0.1%
37.571113 8
 
0.1%
37.50021867 8
 
0.1%
37.52580566 7
 
0.1%
Other values (9430) 9862
98.6%
ValueCountFrequency (%)
33.209776 1
< 0.1%
33.21767517 1
< 0.1%
33.2178484 1
< 0.1%
33.2180175 1
< 0.1%
33.21812057 1
< 0.1%
33.2183365 1
< 0.1%
33.2189502 1
< 0.1%
33.21927509 1
< 0.1%
33.2199894 1
< 0.1%
33.2214145 1
< 0.1%
ValueCountFrequency (%)
38.47857795 1
< 0.1%
38.44737125 1
< 0.1%
38.3796954 1
< 0.1%
38.3755237 1
< 0.1%
38.3752432 1
< 0.1%
38.3727953 1
< 0.1%
38.3272542 1
< 0.1%
38.3031417 1
< 0.1%
38.2962525 1
< 0.1%
38.29440923 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9448
Distinct (%)94.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.22291
Minimum126.14635
Maximum130.90971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:00.582100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.14635
5-th percentile126.53747
Q1126.92668
median127.0185
Q3127.12328
95-th percentile129.04687
Maximum130.90971
Range4.7633518
Interquartile range (IQR)0.19660038

Descriptive statistics

Standard deviation0.67769969
Coefficient of variation (CV)0.0053268683
Kurtosis2.49916
Mean127.22291
Median Absolute Deviation (MAD)0.094020815
Skewness1.8567209
Sum1272229.1
Variance0.45927687
MonotonicityNot monotonic
2023-12-10T22:11:00.814953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1040148 30
 
0.3%
127.0603371 23
 
0.2%
127.11204583 17
 
0.2%
127.0035662 15
 
0.1%
127.11376097 11
 
0.1%
127.0976163 10
 
0.1%
127.06103062 8
 
0.1%
127.03648646 8
 
0.1%
127.22430059 7
 
0.1%
126.9266096 7
 
0.1%
Other values (9438) 9864
98.6%
ValueCountFrequency (%)
126.1463532 1
< 0.1%
126.1772852 1
< 0.1%
126.1800996 1
< 0.1%
126.1801519 1
< 0.1%
126.1978674 1
< 0.1%
126.2023852 1
< 0.1%
126.2060462 1
< 0.1%
126.21224642 1
< 0.1%
126.2135414 1
< 0.1%
126.2245018 1
< 0.1%
ValueCountFrequency (%)
130.909705 1
< 0.1%
129.48458862 1
< 0.1%
129.463175 1
< 0.1%
129.4318097 1
< 0.1%
129.4303686 1
< 0.1%
129.4263255 1
< 0.1%
129.40376282 1
< 0.1%
129.40170417 1
< 0.1%
129.39727426 1
< 0.1%
129.3871609 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
만원 미만
5331 
만원-2만원
3061 
2만원-3만원
880 
4만원 이상
 
318
3만원-4만원
 
281

Length

Max length7
Median length5
Mean length5.5572
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3만원-4만원
2nd row2만원-3만원
3rd row4만원 이상
4th row3만원-4만원
5th row4만원 이상

Common Values

ValueCountFrequency (%)
만원 미만 5331
53.3%
만원-2만원 3061
30.6%
2만원-3만원 880
 
8.8%
4만원 이상 318
 
3.2%
3만원-4만원 281
 
2.8%
<NA> 129
 
1.3%

Length

2023-12-10T22:11:01.017535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:11:01.218847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 5331
34.1%
미만 5331
34.1%
만원-2만원 3061
19.6%
2만원-3만원 880
 
5.6%
4만원 318
 
2.0%
이상 318
 
2.0%
3만원-4만원 281
 
1.8%
na 129
 
0.8%

음식대분류명
Categorical

Distinct9
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
한식
4040 
카페
2980 
양식
1021 
일식
751 
세계음식
441 
Other values (4)
767 

Length

Max length4
Median length2
Mean length2.0883
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row일식
2nd row한식
3rd row일식
4th row일식
5th row양식

Common Values

ValueCountFrequency (%)
한식 4040
40.4%
카페 2980
29.8%
양식 1021
 
10.2%
일식 751
 
7.5%
세계음식 441
 
4.4%
주점 394
 
3.9%
중식 316
 
3.2%
뷔페 56
 
0.6%
검토중 1
 
< 0.1%

Length

2023-12-10T22:11:01.430563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:11:01.678465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 4040
40.4%
카페 2980
29.8%
양식 1021
 
10.2%
일식 751
 
7.5%
세계음식 441
 
4.4%
주점 394
 
3.9%
중식 316
 
3.2%
뷔페 56
 
0.6%
검토중 1
 
< 0.1%

음식소분류명
Categorical

Distinct44
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
카페 / 디저트
2541 
고기 요리
897 
국수 / 면 요리
616 
한정식 / 백반 / 정통 한식
604 
탕 / 찌개 / 전골
536 
Other values (39)
4806 

Length

Max length16
Median length14
Mean length8.1984
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row이자카야 / 오뎅 / 꼬치
2nd row한정식 / 백반 / 정통 한식
3rd row정통 일식 / 일반 일식
4th row돈부리 / 일본 카레 / 벤토
5th row프랑스 음식

Common Values

ValueCountFrequency (%)
카페 / 디저트 2541
25.4%
고기 요리 897
 
9.0%
국수 / 면 요리 616
 
6.2%
한정식 / 백반 / 정통 한식 604
 
6.0%
탕 / 찌개 / 전골 536
 
5.4%
해산물 요리 480
 
4.8%
기타 한식 469
 
4.7%
베이커리 439
 
4.4%
닭 / 오리 요리 370
 
3.7%
이탈리안 357
 
3.6%
Other values (34) 2691
26.9%

Length

2023-12-10T22:11:01.983577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8184
25.9%
디저트 2541
 
8.0%
카페 2541
 
8.0%
요리 2440
 
7.7%
한식 1141
 
3.6%
고기 897
 
2.8%
정통 888
 
2.8%
기타 834
 
2.6%
국수 616
 
1.9%
면 616
 
1.9%
Other values (58) 10927
34.6%

주차구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
주차공간없음
3898 
무료주차 가능
3212 
유료주차 가능
1327 
<NA>
987 
발렛
576 

Length

Max length7
Median length6
Mean length6.0261
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주차공간없음
2nd row주차공간없음
3rd row발렛
4th row발렛
5th row발렛

Common Values

ValueCountFrequency (%)
주차공간없음 3898
39.0%
무료주차 가능 3212
32.1%
유료주차 가능 1327
 
13.3%
<NA> 987
 
9.9%
발렛 576
 
5.8%

Length

2023-12-10T22:11:02.336035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:11:02.500282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 4539
31.2%
주차공간없음 3898
26.8%
무료주차 3212
22.1%
유료주차 1327
 
9.1%
na 987
 
6.8%
발렛 576
 
4.0%

식당영업시간값
Text

MISSING 

Distinct1996
Distinct (%)21.6%
Missing780
Missing (%)7.8%
Memory size78.3 KiB
2023-12-10T22:11:02.839140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length13
Mean length17.943926
Min length3

Characters and Unicode

Total characters165443
Distinct characters31
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

Unique1478 ?
Unique (%)16.0%

Sample

1st row18:00 - 01:00
2nd row11:30 - 22:00
3rd row12:00 - 22:00
4th row11:00 - 22:00
5th row12:00 - 22:30
ValueCountFrequency (%)
11143
30.0%
22:00 2798
 
7.5%
11:00 2682
 
7.2%
11:30 1767
 
4.8%
21:00 1647
 
4.4%
10:00 1305
 
3.5%
12:00 1257
 
3.4%
23:00 1164
 
3.1%
월-금 902
 
2.4%
24:00 895
 
2.4%
Other values (151) 11578
31.2%
2023-12-10T22:11:03.491405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 45959
27.8%
28026
16.9%
: 25975
15.7%
1 17421
 
10.5%
2 14097
 
8.5%
- 13878
 
8.4%
3 6529
 
3.9%
, 1936
 
1.2%
토 1631
 
1.0%
일 1491
 
0.9%
Other values (21) 8500
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 89143
53.9%
Space Separator 28026
 
16.9%
Other Punctuation 27911
 
16.9%
Dash Punctuation 13878
 
8.4%
Other Letter 6484
 
3.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
토 1631
25.2%
일 1491
23.0%
월 1419
21.9%
금 1289
19.9%
목 319
 
4.9%
화 197
 
3.0%
수 65
 
1.0%
적 22
 
0.3%
동 22
 
0.3%
유 22
 
0.3%
Other values (6) 7
 
0.1%
Decimal Number
ValueCountFrequency (%)
0 45959
51.6%
1 17421
 
19.5%
2 14097
 
15.8%
3 6529
 
7.3%
4 1213
 
1.4%
9 1154
 
1.3%
8 1028
 
1.2%
7 849
 
1.0%
5 467
 
0.5%
6 426
 
0.5%
Other Punctuation
ValueCountFrequency (%)
: 25975
93.1%
, 1936
 
6.9%
Space Separator
ValueCountFrequency (%)
28026
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13878
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 158959
96.1%
Hangul 6484
 
3.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
토 1631
25.2%
일 1491
23.0%
월 1419
21.9%
금 1289
19.9%
목 319
 
4.9%
화 197
 
3.0%
수 65
 
1.0%
적 22
 
0.3%
동 22
 
0.3%
유 22
 
0.3%
Other values (6) 7
 
0.1%
Common
ValueCountFrequency (%)
0 45959
28.9%
28026
17.6%
: 25975
16.3%
1 17421
 
11.0%
2 14097
 
8.9%
- 13878
 
8.7%
3 6529
 
4.1%
, 1936
 
1.2%
4 1213
 
0.8%
9 1154
 
0.7%
Other values (5) 2771
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 158959
96.1%
Hangul 6484
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 45959
28.9%
28026
17.6%
: 25975
16.3%
1 17421
 
11.0%
2 14097
 
8.9%
- 13878
 
8.7%
3 6529
 
4.1%
, 1936
 
1.2%
4 1213
 
0.8%
9 1154
 
0.7%
Other values (5) 2771
 
1.7%
Hangul
ValueCountFrequency (%)
토 1631
25.2%
일 1491
23.0%
월 1419
21.9%
금 1289
19.9%
목 319
 
4.9%
화 197
 
3.0%
수 65
 
1.0%
적 22
 
0.3%
동 22
 
0.3%
유 22
 
0.3%
Other values (6) 7
 
0.1%

휴식시간내용
Text

MISSING 

Distinct236
Distinct (%)15.1%
Missing8436
Missing (%)84.4%
Memory size78.3 KiB
2023-12-10T22:11:04.115644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length13
Mean length16.258312
Min length13

Characters and Unicode

Total characters25428
Distinct characters28
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique156 ?
Unique (%)10.0%

Sample

1st row15:00 - 18:00
2nd row월-금: 15:00 - 17:00
3rd row15:00 - 18:00
4th row15:00 - 16:30
5th row10:00 - 11:30, 15:00 - 18:00
ValueCountFrequency (%)
1751
30.5%
15:00 969
16.9%
17:00 907
15.8%
월-금 312
 
5.4%
17:30 307
 
5.3%
14:30 242
 
4.2%
15:30 212
 
3.7%
16:00 209
 
3.6%
18:00 193
 
3.4%
16:30 148
 
2.6%
Other values (71) 490
 
8.5%
2023-12-10T22:11:04.602925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5942
23.4%
4176
16.4%
: 3990
15.7%
1 3484
13.7%
- 2223
 
8.7%
7 1227
 
4.8%
5 1219
 
4.8%
3 994
 
3.9%
4 366
 
1.4%
6 361
 
1.4%
Other values (18) 1446
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13848
54.5%
Space Separator 4176
 
16.4%
Other Punctuation 4157
 
16.3%
Dash Punctuation 2223
 
8.7%
Other Letter 1018
 
4.0%
Lowercase Letter 4
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5942
42.9%
1 3484
25.2%
7 1227
 
8.9%
5 1219
 
8.8%
3 994
 
7.2%
4 366
 
2.6%
6 361
 
2.6%
8 200
 
1.4%
2 36
 
0.3%
9 19
 
0.1%
Other Letter
ValueCountFrequency (%)
금 356
35.0%
월 333
32.7%
토 143
14.0%
일 125
 
12.3%
화 35
 
3.4%
목 18
 
1.8%
수 8
 
0.8%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
i 1
25.0%
u 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 3990
96.0%
, 144
 
3.5%
/ 23
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
4176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2223
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24404
96.0%
Hangul 1018
 
4.0%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5942
24.3%
4176
17.1%
: 3990
16.3%
1 3484
14.3%
- 2223
 
9.1%
7 1227
 
5.0%
5 1219
 
5.0%
3 994
 
4.1%
4 366
 
1.5%
6 361
 
1.5%
Other values (5) 422
 
1.7%
Hangul
ValueCountFrequency (%)
금 356
35.0%
월 333
32.7%
토 143
14.0%
일 125
 
12.3%
화 35
 
3.4%
목 18
 
1.8%
수 8
 
0.8%
Latin
ValueCountFrequency (%)
F 1
16.7%
r 1
16.7%
i 1
16.7%
S 1
16.7%
u 1
16.7%
n 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24410
96.0%
Hangul 1018
 
4.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5942
24.3%
4176
17.1%
: 3990
16.3%
1 3484
14.3%
- 2223
 
9.1%
7 1227
 
5.0%
5 1219
 
5.0%
3 994
 
4.1%
4 366
 
1.5%
6 361
 
1.5%
Other values (11) 428
 
1.8%
Hangul
ValueCountFrequency (%)
금 356
35.0%
월 333
32.7%
토 143
14.0%
일 125
 
12.3%
화 35
 
3.4%
목 18
 
1.8%
수 8
 
0.8%

최종주문가능시간값
Text

MISSING 

Distinct241
Distinct (%)11.4%
Missing7886
Missing (%)78.9%
Memory size78.3 KiB
2023-12-10T22:11:04.913051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length5
Mean length6.551561
Min length1

Characters and Unicode

Total characters13850
Distinct characters24
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

Unique160 ?
Unique (%)7.6%

Sample

1st row13:30, 20:30
2nd row14:00, 21:00
3rd row20:30
4th row01:00
5th row21:30
ValueCountFrequency (%)
21:00 576
21.4%
21:30 304
 
11.3%
20:30 287
 
10.7%
20:00 182
 
6.8%
22:00 138
 
5.1%
23:00 86
 
3.2%
22:30 79
 
2.9%
월-금 59
 
2.2%
토-일 56
 
2.1%
19:30 56
 
2.1%
Other values (88) 869
32.3%
2023-12-10T22:11:05.463581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4264
30.8%
: 2664
19.2%
2 2361
17.0%
1 1441
 
10.4%
3 1002
 
7.2%
585
 
4.2%
, 267
 
1.9%
4 238
 
1.7%
- 213
 
1.5%
5 140
 
1.0%
Other values (14) 675
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9618
69.4%
Other Punctuation 2954
 
21.3%
Space Separator 585
 
4.2%
Other Letter 479
 
3.5%
Dash Punctuation 213
 
1.5%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4264
44.3%
2 2361
24.5%
1 1441
 
15.0%
3 1002
 
10.4%
4 238
 
2.5%
5 140
 
1.5%
9 106
 
1.1%
8 35
 
0.4%
7 17
 
0.2%
6 14
 
0.1%
Other Letter
ValueCountFrequency (%)
토 128
26.7%
일 119
24.8%
월 103
21.5%
금 88
18.4%
목 26
 
5.4%
화 12
 
2.5%
수 3
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 2664
90.2%
, 267
 
9.0%
/ 22
 
0.7%
. 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
585
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 213
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13371
96.5%
Hangul 479
 
3.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4264
31.9%
: 2664
19.9%
2 2361
17.7%
1 1441
 
10.8%
3 1002
 
7.5%
585
 
4.4%
, 267
 
2.0%
4 238
 
1.8%
- 213
 
1.6%
5 140
 
1.0%
Other values (7) 196
 
1.5%
Hangul
ValueCountFrequency (%)
토 128
26.7%
일 119
24.8%
월 103
21.5%
금 88
18.4%
목 26
 
5.4%
화 12
 
2.5%
수 3
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13371
96.5%
Hangul 479
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4264
31.9%
: 2664
19.9%
2 2361
17.7%
1 1441
 
10.8%
3 1002
 
7.5%
585
 
4.4%
, 267
 
2.0%
4 238
 
1.8%
- 213
 
1.6%
5 140
 
1.0%
Other values (7) 196
 
1.5%
Hangul
ValueCountFrequency (%)
토 128
26.7%
일 119
24.8%
월 103
21.5%
금 88
18.4%
목 26
 
5.4%
화 12
 
2.5%
수 3
 
0.6%

식당휴일내용
Text

MISSING 

Distinct148
Distinct (%)5.5%
Missing7290
Missing (%)72.9%
Memory size78.3 KiB
2023-12-10T22:11:05.758116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length1
Mean length2.1306273
Min length1

Characters and Unicode

Total characters5774
Distinct characters40
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

Unique86 ?
Unique (%)3.2%

Sample

1st row일
2nd row일
3rd row일
4th row일, 월
5th row일
ValueCountFrequency (%)
일 1206
34.7%
월 1051
30.2%
화 409
 
11.8%
수 213
 
6.1%
토 95
 
2.7%
둘째/넷째 94
 
2.7%
첫째/셋째 79
 
2.3%
목 59
 
1.7%
첫째 55
 
1.6%
셋째 41
 
1.2%
Other values (31) 178
 
5.1%
2023-12-10T22:11:06.244409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1220
21.1%
월 1054
18.3%
773
13.4%
째 546
9.5%
화 411
 
7.1%
, 408
 
7.1%
수 215
 
3.7%
/ 205
 
3.6%
첫 142
 
2.5%
둘 136
 
2.4%
Other values (30) 664
11.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4366
75.6%
Space Separator 773
 
13.4%
Other Punctuation 614
 
10.6%
Decimal Number 20
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1220
27.9%
월 1054
24.1%
째 546
12.5%
화 411
 
9.4%
수 215
 
4.9%
첫 142
 
3.3%
둘 136
 
3.1%
셋 130
 
3.0%
넷 130
 
3.0%
토 97
 
2.2%
Other values (19) 285
 
6.5%
Decimal Number
ValueCountFrequency (%)
6 12
60.0%
1 3
 
15.0%
7 2
 
10.0%
4 1
 
5.0%
0 1
 
5.0%
9 1
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 408
66.4%
/ 205
33.4%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
773
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4366
75.6%
Common 1408
 
24.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1220
27.9%
월 1054
24.1%
째 546
12.5%
화 411
 
9.4%
수 215
 
4.9%
첫 142
 
3.3%
둘 136
 
3.1%
셋 130
 
3.0%
넷 130
 
3.0%
토 97
 
2.2%
Other values (19) 285
 
6.5%
Common
ValueCountFrequency (%)
773
54.9%
, 408
29.0%
/ 205
 
14.6%
6 12
 
0.9%
1 3
 
0.2%
7 2
 
0.1%
4 1
 
0.1%
0 1
 
0.1%
. 1
 
0.1%
9 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4366
75.6%
ASCII 1408
 
24.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1220
27.9%
월 1054
24.1%
째 546
12.5%
화 411
 
9.4%
수 215
 
4.9%
첫 142
 
3.3%
둘 136
 
3.1%
셋 130
 
3.0%
넷 130
 
3.0%
토 97
 
2.2%
Other values (19) 285
 
6.5%
ASCII
ValueCountFrequency (%)
773
54.9%
, 408
29.0%
/ 205
 
14.6%
6 12
 
0.9%
1 3
 
0.2%
7 2
 
0.1%
4 1
 
0.1%
0 1
 
0.1%
. 1
 
0.1%
9 1
 
0.1%

메인메뉴내용
Text

MISSING 

Distinct333
Distinct (%)5.0%
Missing3304
Missing (%)33.0%
Memory size78.3 KiB
2023-12-10T22:11:06.844859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.0819892
Min length1

Characters and Unicode

Total characters40725
Distinct characters318
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

Unique78 ?
Unique (%)1.2%

Sample

1st row이자카야
2nd row백반 / 가정식
3rd row정통 일식
4th row돈부리 / 덮밥 전문점
5th row샐러드 전문점
ValueCountFrequency (%)
전문점 3209
24.5%
카페 1450
 
11.1%
807
 
6.2%
음식 633
 
4.8%
베이커리 315
 
2.4%
이탈리안 248
 
1.9%
중식 192
 
1.5%
기타 166
 
1.3%
일식 156
 
1.2%
일반 126
 
1.0%
Other values (339) 5805
44.3%
2023-12-10T22:11:07.744102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6411
 
15.7%
전 3465
 
8.5%
점 3269
 
8.0%
문 3211
 
7.9%
카 1568
 
3.9%
페 1532
 
3.8%
식 1411
 
3.5%
이 1031
 
2.5%
/ 807
 
2.0%
리 709
 
1.7%
Other values (308) 17311
42.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33499
82.3%
Space Separator 6411
 
15.7%
Other Punctuation 807
 
2.0%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 3465
 
10.3%
점 3269
 
9.8%
문 3211
 
9.6%
카 1568
 
4.7%
페 1532
 
4.6%
식 1411
 
4.2%
이 1031
 
3.1%
리 709
 
2.1%
음 661
 
2.0%
국 548
 
1.6%
Other values (302) 16094
48.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
50.0%
P 1
50.0%
Space Separator
ValueCountFrequency (%)
6411
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 807
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33499
82.3%
Common 7224
 
17.7%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 3465
 
10.3%
점 3269
 
9.8%
문 3211
 
9.6%
카 1568
 
4.7%
페 1532
 
4.6%
식 1411
 
4.2%
이 1031
 
3.1%
리 709
 
2.1%
음 661
 
2.0%
국 548
 
1.6%
Other values (302) 16094
48.0%
Common
ValueCountFrequency (%)
6411
88.7%
/ 807
 
11.2%
) 3
 
< 0.1%
( 3
 
< 0.1%
Latin
ValueCountFrequency (%)
L 1
50.0%
P 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33499
82.3%
ASCII 7226
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6411
88.7%
/ 807
 
11.2%
) 3
 
< 0.1%
( 3
 
< 0.1%
L 1
 
< 0.1%
P 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 3465
 
10.3%
점 3269
 
9.8%
문 3211
 
9.6%
카 1568
 
4.7%
페 1532
 
4.6%
식 1411
 
4.2%
이 1031
 
3.1%
리 709
 
2.1%
음 661
 
2.0%
국 548
 
1.6%
Other values (302) 16094
48.0%

식당평점값
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)0.4%
Missing3137
Missing (%)31.4%
Infinite0
Infinite (%)0.0%
Mean3.8089174
Minimum2.3
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:07.956488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile3.2
Q13.6
median3.8
Q34.1
95-th percentile4.4
Maximum4.8
Range2.5
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.3628505
Coefficient of variation (CV)0.095263421
Kurtosis-0.1220712
Mean3.8089174
Median Absolute Deviation (MAD)0.2
Skewness-0.22495261
Sum26140.6
Variance0.13166049
MonotonicityDecreasing
2023-12-10T22:11:08.142899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
3.9 1016
 
10.2%
4.0 665
 
6.7%
3.7 610
 
6.1%
3.6 588
 
5.9%
3.8 573
 
5.7%
4.1 532
 
5.3%
3.4 482
 
4.8%
3.5 458
 
4.6%
4.3 446
 
4.5%
4.2 384
 
3.8%
Other values (15) 1109
 
11.1%
(Missing) 3137
31.4%
ValueCountFrequency (%)
2.3 1
 
< 0.1%
2.5 4
 
< 0.1%
2.6 3
 
< 0.1%
2.7 12
 
0.1%
2.8 28
 
0.3%
2.9 36
 
0.4%
3.0 54
 
0.5%
3.1 125
1.2%
3.2 180
1.8%
3.3 281
2.8%
ValueCountFrequency (%)
4.8 3
 
< 0.1%
4.7 22
 
0.2%
4.6 81
 
0.8%
4.5 73
 
0.7%
4.4 206
 
2.1%
4.3 446
4.5%
4.2 384
 
3.8%
4.1 532
5.3%
4.0 665
6.7%
3.9 1016
10.2%

식당리뷰수
Real number (ℝ)

Distinct269
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.6562
Minimum3
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:08.330360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile6
Q18
median14
Q330
95-th percentile107
Maximum532
Range529
Interquartile range (IQR)22

Descriptive statistics

Standard deviation39.68612
Coefficient of variation (CV)1.3849052
Kurtosis21.480968
Mean28.6562
Median Absolute Deviation (MAD)7
Skewness3.8420334
Sum286562
Variance1574.9881
MonotonicityNot monotonic
2023-12-10T22:11:08.548236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 1115
 
11.2%
7 802
 
8.0%
8 612
 
6.1%
9 537
 
5.4%
10 425
 
4.2%
11 408
 
4.1%
12 361
 
3.6%
13 312
 
3.1%
14 266
 
2.7%
15 256
 
2.6%
Other values (259) 4906
49.1%
ValueCountFrequency (%)
3 1
 
< 0.1%
4 28
 
0.3%
5 214
 
2.1%
6 1115
11.2%
7 802
8.0%
8 612
6.1%
9 537
5.4%
10 425
 
4.2%
11 408
 
4.1%
12 361
 
3.6%
ValueCountFrequency (%)
532 1
< 0.1%
519 1
< 0.1%
441 1
< 0.1%
408 1
< 0.1%
406 1
< 0.1%
386 1
< 0.1%
383 1
< 0.1%
366 1
< 0.1%
365 1
< 0.1%
364 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct8782
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27901.158
Minimum50
Maximum586475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:08.794891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile2438.95
Q16028
median12246
Q329306.25
95-th percentile108373.4
Maximum586475
Range586425
Interquartile range (IQR)23278.25

Descriptive statistics

Standard deviation44364.378
Coefficient of variation (CV)1.5900551
Kurtosis23.762478
Mean27901.158
Median Absolute Deviation (MAD)7977
Skewness4.1018727
Sum2.7901158 × 108
Variance1.968198 × 109
MonotonicityNot monotonic
2023-12-10T22:11:09.004889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7425 4
 
< 0.1%
8857 4
 
< 0.1%
3160 4
 
< 0.1%
3153 4
 
< 0.1%
4688 4
 
< 0.1%
4946 4
 
< 0.1%
4078 4
 
< 0.1%
3418 4
 
< 0.1%
5532 4
 
< 0.1%
2291 4
 
< 0.1%
Other values (8772) 9960
99.6%
ValueCountFrequency (%)
50 1
< 0.1%
118 1
< 0.1%
169 1
< 0.1%
171 1
< 0.1%
197 2
< 0.1%
214 1
< 0.1%
224 1
< 0.1%
241 1
< 0.1%
294 1
< 0.1%
316 1
< 0.1%
ValueCountFrequency (%)
586475 1
< 0.1%
570156 1
< 0.1%
467612 1
< 0.1%
463730 1
< 0.1%
455061 1
< 0.1%
413548 1
< 0.1%
408325 1
< 0.1%
404501 1
< 0.1%
403050 1
< 0.1%
399025 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct2188
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean579.3619
Minimum0
Maximum10945
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:11:09.262278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q171
median199
Q3595
95-th percentile2602.05
Maximum10945
Range10945
Interquartile range (IQR)524

Descriptive statistics

Standard deviation1005.6267
Coefficient of variation (CV)1.7357487
Kurtosis17.574682
Mean579.3619
Median Absolute Deviation (MAD)157
Skewness3.6505428
Sum5793619
Variance1011285
MonotonicityNot monotonic
2023-12-10T22:11:09.502371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 53
 
0.5%
29 53
 
0.5%
35 51
 
0.5%
28 50
 
0.5%
25 47
 
0.5%
41 47
 
0.5%
46 47
 
0.5%
31 45
 
0.4%
30 45
 
0.4%
23 45
 
0.4%
Other values (2178) 9517
95.2%
ValueCountFrequency (%)
0 4
 
< 0.1%
1 4
 
< 0.1%
2 7
 
0.1%
3 13
 
0.1%
4 13
 
0.1%
5 19
0.2%
6 26
0.3%
7 17
0.2%
8 23
0.2%
9 33
0.3%
ValueCountFrequency (%)
10945 1
< 0.1%
10327 1
< 0.1%
9377 1
< 0.1%
9236 1
< 0.1%
9088 1
< 0.1%
9031 1
< 0.1%
9019 1
< 0.1%
8817 1
< 0.1%
8555 1
< 0.1%
8491 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

2023-12-10T22:11:09.753647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:11:09.923942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
0202108iMRRP69qtkeO미라이<NA>02-540-0934서울시 강남구 신사동 557-25서울특별시 강남구 논현로153길 2437.521072127.0262153만원-4만원일식이자카야 / 오뎅 / 꼬치주차공간없음18:00 - 01:00<NA><NA>일이자카야4.8933212147061202108
1202108-xVh_QZrOMo3호반<NA>02-745-6618서울시 종로구 낙원동 85-7서울특별시 종로구 삼일대로26길 2037.573307126.9891532만원-3만원한식한정식 / 백반 / 정통 한식주차공간없음11:30 - 22:00<NA><NA>일백반 / 가정식4.8511353523399202108
2202108syba5M_Z_uYd타쿠미곤<NA>02-595-1935서울시 서초구 반포동 107-45서울특별시 서초구 사평대로18길 1037.498448126.9953334만원 이상일식정통 일식 / 일반 일식발렛12:00 - 22:0015:00 - 18:0013:30, 20:30<NA>정통 일식4.8481479202709202108
3202108KU-4QO6Yvt마루심<NA>02-592-8998서울시 서초구 반포동 54-10서울특별시 서초구 고무래로10길 1037.501894127.0104653만원-4만원일식돈부리 / 일본 카레 / 벤토발렛11:00 - 22:00월-금: 15:00 - 17:00<NA><NA>돈부리 / 덮밥 전문점4.71713678426802202108
4202108mfwd78vEtS파씨오네<NA>02-546-7719서울시 강남구 신사동 646-23서울특별시 강남구 언주로164길 3937.525448127.0367364만원 이상양식프랑스 음식발렛12:00 - 22:3015:00 - 18:0014:00, 21:00일<NA>4.71174135487736202108
5202108pWBiN0PLlB샐러드셀러<NA>02-794-0282서울시 용산구 한남동 684-24서울특별시 용산구 대사관로5길 2837.535455127.000398만원-2만원양식기타 양식주차공간없음11:00 - 21:0015:00 - 16:30<NA>일, 월샐러드 전문점4.71051675493970202108
6202108jiQPoOdNDqQc와라야키 쿠이신보<NA>02-546-9215서울시 강남구 신사동 539서울특별시 강남구 도산대로15길 637.518604127.024132만원-3만원일식이자카야 / 오뎅 / 꼬치발렛월-목: 17:30 - 24:00, 금-토: 17:30 - 02:00<NA><NA>일이자카야4.71043797497438202108
7202108mIomHshZmH쿠이신보<NA>02-332-9215서울시 마포구 합정동 413-16서울특별시 마포구 양화로6길 3837.548797126.916265만원-2만원일식이자카야 / 오뎅 / 꼬치유료주차 가능월-목: 17:30 - 01:00, 금-토: 17:00 - 02:00, 일: 17:00 - 24:00<NA><NA>둘째/넷째 일일식 꼬치바4.7992264704646202108
8202108YqO915KDI9이치류홍대본점02-3144-1312서울시 마포구 서교동 395-124서울특별시 마포구 잔다리로3안길 4437.550601126.919112만원-3만원양식스테이크 / 바베큐주차공간없음월-토: 17:00 - 23:00, 일: 17:00 - 22:00<NA><NA><NA>양고기 전문점4.7983801165916202108
9202108aeO_cG35KO패스트리부티크서울신라호텔02-2230-3377서울시 중구 장충동2가 202서울특별시 중구 동호로 24937.556689127.0049084만원 이상카페베이커리발렛07:00 - 22:00<NA><NA><NA>베이커리4.7821573912570202108
기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
9990202108Du0T3c_YdG어굼터미금점031-715-9285경기도 성남시 분당구 구미동 23-1경기도 성남시 분당구 돌마로 6837.349798127.109573만원-2만원한식한정식 / 백반 / 정통 한식무료주차 가능11:00 - 21:30<NA><NA>일<NA><NA>5809483202108
9991202108qX7gUyR3Rf작은맥주집<NA>070-7785-4518인천시 부평구 부평동 185-129인천광역시 부평구 광장로30번길 2937.490715126.726203만원-2만원주점일반 주점주차공간없음16:00 - 02:00<NA>01:00<NA><NA><NA>58094137202108
9992202108ijzBUikf_prL고베규카츠건대점02-469-4620서울시 광진구 화양동 3-73서울특별시 광진구 아차산로33길 6437.542992127.071198만원-2만원일식까스 요리주차공간없음11:30 - 22:0015:00 - 17:0021:10<NA><NA><NA>5808853202108
9993202108MOpwV3O5fNXn판교 아브뉴프랑 소호정판교 아브뉴프랑점031-703-1360경기도 성남시 분당구 삼평동 740경기도 성남시 분당구 동판교로177번길 2537.397599127.113761만원-2만원한식국수 / 면 요리유료주차 가능11:00 - 21:30<NA>20:50<NA><NA><NA>5806331202108
999420210846BmLwbFyB대부도 원조 11호 횟집<NA>032-886-9050경기도 안산시 단원구 선감동 680경기도 안산시 단원구 대부황금로 15037.205181126.6454153만원-4만원한식해산물 요리무료주차 가능10:30 - 22:00<NA><NA>마지막 목<NA><NA>5805944202108
9995202108Jv2J-mAu_zRU서울멸치쌈밥<NA>031-8017-3999경기도 성남시 분당구 백현동 580-7경기도 성남시 분당구 판교역로10번길 10-337.384519127.11203만원 미만한식한정식 / 백반 / 정통 한식무료주차 가능11:00 - 21:0015:00 - 16:30<NA><NA><NA><NA>58047124202108
9996202108WGzsXij-gKly성신반점 인덕원양꼬치<NA>031-421-8530경기도 안양시 동안구 관양동 1494-57경기도 안양시 동안구 흥안대로517번길 4737.399875126.973834만원-2만원중식기타 중식주차공간없음13:00 - 02:00<NA><NA><NA><NA><NA>5802746202108
99972021086em6VoBbAU고주몽화로구이부천점032-329-7737경기도 부천시 중동 1144-5경기도 부천시 소향로 23337.500783126.7737092만원-3만원한식고기 요리무료주차 가능11:30 - 01:00<NA><NA><NA><NA><NA>5802565202108
9998202108S8uPbr965g삼봉푸줏간<NA>031-576-0233경기도 남양주시 조안면 삼봉리 255경기도 남양주시 조안면 북한강로 86337.593479127.3373983만원-4만원한식고기 요리무료주차 가능10:00 - 22:00<NA><NA><NA><NA><NA>5799756202108
9999202108DnYaXmb8-1g-칠링31<NA>044-864-4838세종시 조치원읍 명리 67-24세종특별자치시 조치원읍 장안로 3136.599011127.301731만원-2만원양식브런치 / 버거 / 샌드위치무료주차 가능10:00 - 22:00<NA><NA><NA><NA><NA>5799161202108