Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells44182
Missing cells (%)19.2%
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=SET0400012

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7556 (75.6%) missing valuesMissing
대표전화번호 has 266 (2.7%) missing valuesMissing
식당영업시간값 has 1272 (12.7%) missing valuesMissing
휴식시간내용 has 8596 (86.0%) missing valuesMissing
최종주문가능시간값 has 8113 (81.1%) missing valuesMissing
식당휴일내용 has 7293 (72.9%) missing valuesMissing
메인메뉴내용 has 5612 (56.1%) missing valuesMissing
식당평점값 has 5473 (54.7%) missing valuesMissing
식당경도좌표값 is highly skewed (γ1 = -37.03956347)Skewed
식당ID has unique valuesUnique

Reproduction

Analysis started2023-12-10 13:09:54.012878
Analysis finished2023-12-10 13:09:57.835432
Duration3.82 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

2023-12-10T22:09:58.090386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:09:58.252198image/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
2023-12-10T22:09:58.702796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.0254
Min length10

Characters and Unicode

Total characters110254
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 row9EVyzauilukl
2nd row-xVh_QZrOMo3
3rd rowsyba5M_Z_uYd
4th rowmfwd78vEtS
5th rowpWBiN0PLlB
ValueCountFrequency (%)
9evyzauilukl 1
 
< 0.1%
hi9inlrbh8hu 1
 
< 0.1%
rbgvsxvfm9 1
 
< 0.1%
us23w3vkyy 1
 
< 0.1%
lnbk8ttpymxx 1
 
< 0.1%
xphdnrxlr0 1
 
< 0.1%
raioepu5vzap 1
 
< 0.1%
lltty-ddsin3 1
 
< 0.1%
vo0ejts2zckc 1
 
< 0.1%
iuhdqa2g7n-n 1
 
< 0.1%
Other values (9990) 9990
99.9%
2023-12-10T22:09:59.692909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
h 1796
 
1.6%
a 1791
 
1.6%
3 1791
 
1.6%
L 1783
 
1.6%
0 1781
 
1.6%
j 1778
 
1.6%
u 1774
 
1.6%
o 1772
 
1.6%
B 1772
 
1.6%
O 1769
 
1.6%
Other values (54) 92447
83.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 44752
40.6%
Uppercase Letter 44734
40.6%
Decimal Number 17385
 
15.8%
Connector Punctuation 1713
 
1.6%
Dash Punctuation 1670
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
h 1796
 
4.0%
a 1791
 
4.0%
j 1778
 
4.0%
u 1774
 
4.0%
o 1772
 
4.0%
w 1751
 
3.9%
g 1749
 
3.9%
m 1745
 
3.9%
v 1739
 
3.9%
i 1731
 
3.9%
Other values (16) 27126
60.6%
Uppercase Letter
ValueCountFrequency (%)
L 1783
 
4.0%
B 1772
 
4.0%
O 1769
 
4.0%
S 1768
 
4.0%
G 1763
 
3.9%
D 1762
 
3.9%
V 1754
 
3.9%
H 1753
 
3.9%
X 1744
 
3.9%
U 1742
 
3.9%
Other values (16) 27124
60.6%
Decimal Number
ValueCountFrequency (%)
3 1791
10.3%
0 1781
10.2%
2 1764
10.1%
9 1762
10.1%
7 1758
10.1%
5 1752
10.1%
4 1736
10.0%
6 1690
9.7%
1 1677
9.6%
8 1674
9.6%
Connector Punctuation
ValueCountFrequency (%)
_ 1713
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1670
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 89486
81.2%
Common 20768
 
18.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
h 1796
 
2.0%
a 1791
 
2.0%
L 1783
 
2.0%
j 1778
 
2.0%
u 1774
 
2.0%
o 1772
 
2.0%
B 1772
 
2.0%
O 1769
 
2.0%
S 1768
 
2.0%
G 1763
 
2.0%
Other values (42) 71720
80.1%
Common
ValueCountFrequency (%)
3 1791
8.6%
0 1781
8.6%
2 1764
8.5%
9 1762
8.5%
7 1758
8.5%
5 1752
8.4%
4 1736
8.4%
_ 1713
8.2%
6 1690
8.1%
1 1677
8.1%
Other values (2) 3344
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110254
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
h 1796
 
1.6%
a 1791
 
1.6%
3 1791
 
1.6%
L 1783
 
1.6%
0 1781
 
1.6%
j 1778
 
1.6%
u 1774
 
1.6%
o 1772
 
1.6%
B 1772
 
1.6%
O 1769
 
1.6%
Other values (54) 92447
83.8%

식당명
Text

Distinct8934
Distinct (%)89.3%
Missing1
Missing (%)< 0.1%
Memory size78.3 KiB
2023-12-10T22:10:00.181666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length4.8185819
Min length1

Characters and Unicode

Total characters48181
Distinct characters1131
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8272 ?
Unique (%)82.7%

Sample

1st row시라카와
2nd row호반
3rd row타쿠미곤
4th row파씨오네
5th row샐러드셀러
ValueCountFrequency (%)
카페 39
 
0.4%
휴업중 30
 
0.3%
스타벅스 17
 
0.2%
설빙 15
 
0.1%
홍콩반점0410 13
 
0.1%
커피 11
 
0.1%
coffee 10
 
0.1%
cafe 10
 
0.1%
폴바셋 9
 
0.1%
봉추찜닭 9
 
0.1%
Other values (9207) 10318
98.4%
2023-12-10T22:10:00.840499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 1356
 
2.8%
이 1314
 
2.7%
리 836
 
1.7%
라 616
 
1.3%
카 548
 
1.1%
당 539
 
1.1%
식 528
 
1.1%
집 510
 
1.1%
피 494
 
1.0%
493
 
1.0%
Other values (1121) 40947
85.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45737
94.9%
Decimal Number 795
 
1.7%
Lowercase Letter 544
 
1.1%
Uppercase Letter 508
 
1.1%
Space Separator 493
 
1.0%
Close Punctuation 35
 
0.1%
Open Punctuation 35
 
0.1%
Other Punctuation 28
 
0.1%
Dash Punctuation 4
 
< 0.1%
Connector Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 1356
 
3.0%
이 1314
 
2.9%
리 836
 
1.8%
라 616
 
1.3%
카 548
 
1.2%
당 539
 
1.2%
식 528
 
1.2%
집 510
 
1.1%
피 494
 
1.1%
수 477
 
1.0%
Other values (1051) 38519
84.2%
Lowercase Letter
ValueCountFrequency (%)
e 85
15.6%
o 57
10.5%
a 50
 
9.2%
t 34
 
6.2%
r 34
 
6.2%
n 33
 
6.1%
i 32
 
5.9%
f 31
 
5.7%
s 31
 
5.7%
h 21
 
3.9%
Other values (16) 136
25.0%
Uppercase Letter
ValueCountFrequency (%)
C 47
 
9.3%
T 41
 
8.1%
A 39
 
7.7%
B 38
 
7.5%
E 35
 
6.9%
P 33
 
6.5%
O 31
 
6.1%
S 24
 
4.7%
F 22
 
4.3%
L 22
 
4.3%
Other values (16) 176
34.6%
Decimal Number
ValueCountFrequency (%)
1 147
18.5%
0 91
11.4%
9 86
10.8%
8 82
10.3%
2 80
10.1%
3 78
9.8%
4 78
9.8%
7 64
8.1%
5 55
 
6.9%
6 34
 
4.3%
Other Punctuation
ValueCountFrequency (%)
. 20
71.4%
& 6
 
21.4%
, 2
 
7.1%
Space Separator
ValueCountFrequency (%)
493
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45737
94.9%
Common 1392
 
2.9%
Latin 1052
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 1356
 
3.0%
이 1314
 
2.9%
리 836
 
1.8%
라 616
 
1.3%
카 548
 
1.2%
당 539
 
1.2%
식 528
 
1.2%
집 510
 
1.1%
피 494
 
1.1%
수 477
 
1.0%
Other values (1051) 38519
84.2%
Latin
ValueCountFrequency (%)
e 85
 
8.1%
o 57
 
5.4%
a 50
 
4.8%
C 47
 
4.5%
T 41
 
3.9%
A 39
 
3.7%
B 38
 
3.6%
E 35
 
3.3%
t 34
 
3.2%
r 34
 
3.2%
Other values (42) 592
56.3%
Common
ValueCountFrequency (%)
493
35.4%
1 147
 
10.6%
0 91
 
6.5%
9 86
 
6.2%
8 82
 
5.9%
2 80
 
5.7%
3 78
 
5.6%
4 78
 
5.6%
7 64
 
4.6%
5 55
 
4.0%
Other values (8) 138
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45737
94.9%
ASCII 2444
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 1356
 
3.0%
이 1314
 
2.9%
리 836
 
1.8%
라 616
 
1.3%
카 548
 
1.2%
당 539
 
1.2%
식 528
 
1.2%
집 510
 
1.1%
피 494
 
1.1%
수 477
 
1.0%
Other values (1051) 38519
84.2%
ASCII
ValueCountFrequency (%)
493
20.2%
1 147
 
6.0%
0 91
 
3.7%
9 86
 
3.5%
e 85
 
3.5%
8 82
 
3.4%
2 80
 
3.3%
3 78
 
3.2%
4 78
 
3.2%
7 64
 
2.6%
Other values (60) 1160
47.5%

지점명
Text

MISSING 

Distinct745
Distinct (%)30.5%
Missing7556
Missing (%)75.6%
Memory size78.3 KiB
2023-12-10T22:10:01.315248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length14
Mean length4.4586743
Min length2

Characters and Unicode

Total characters10897
Distinct characters356
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

Unique509 ?
Unique (%)20.8%

Sample

1st row홍대본점
2nd row서울신라호텔
3rd row서울신라호텔
4th row강남역점
5th row도산공원점
ValueCountFrequency (%)
본점 266
 
9.9%
홍대점 114
 
4.2%
강남점 81
 
3.0%
강남역점 70
 
2.6%
광화문점 63
 
2.3%
대학로점 61
 
2.3%
압구정점 53
 
2.0%
이태원점 46
 
1.7%
1호점 36
 
1.3%
2호점 35
 
1.3%
Other values (738) 1862
69.3%
2023-12-10T22:10:02.120232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2411
 
22.1%
대 412
 
3.8%
본 407
 
3.7%
남 323
 
3.0%
245
 
2.2%
강 227
 
2.1%
호 202
 
1.9%
화 180
 
1.7%
홍 177
 
1.6%
역 169
 
1.6%
Other values (346) 6144
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10309
94.6%
Space Separator 245
 
2.2%
Decimal Number 231
 
2.1%
Uppercase Letter 100
 
0.9%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2411
23.4%
대 412
 
4.0%
본 407
 
3.9%
남 323
 
3.1%
강 227
 
2.2%
호 202
 
2.0%
화 180
 
1.7%
홍 177
 
1.7%
역 169
 
1.6%
정 156
 
1.5%
Other values (315) 5645
54.8%
Uppercase Letter
ValueCountFrequency (%)
C 21
21.0%
S 15
15.0%
D 7
 
7.0%
T 7
 
7.0%
G 7
 
7.0%
F 7
 
7.0%
V 5
 
5.0%
P 5
 
5.0%
N 4
 
4.0%
R 4
 
4.0%
Other values (9) 18
18.0%
Decimal Number
ValueCountFrequency (%)
2 71
30.7%
1 63
27.3%
4 46
19.9%
9 22
 
9.5%
3 16
 
6.9%
5 5
 
2.2%
8 4
 
1.7%
0 3
 
1.3%
7 1
 
0.4%
Space Separator
ValueCountFrequency (%)
245
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10309
94.6%
Common 488
 
4.5%
Latin 100
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2411
23.4%
대 412
 
4.0%
본 407
 
3.9%
남 323
 
3.1%
강 227
 
2.2%
호 202
 
2.0%
화 180
 
1.7%
홍 177
 
1.7%
역 169
 
1.6%
정 156
 
1.5%
Other values (315) 5645
54.8%
Latin
ValueCountFrequency (%)
C 21
21.0%
S 15
15.0%
D 7
 
7.0%
T 7
 
7.0%
G 7
 
7.0%
F 7
 
7.0%
V 5
 
5.0%
P 5
 
5.0%
N 4
 
4.0%
R 4
 
4.0%
Other values (9) 18
18.0%
Common
ValueCountFrequency (%)
245
50.2%
2 71
 
14.5%
1 63
 
12.9%
4 46
 
9.4%
9 22
 
4.5%
3 16
 
3.3%
) 6
 
1.2%
( 6
 
1.2%
5 5
 
1.0%
8 4
 
0.8%
Other values (2) 4
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10309
94.6%
ASCII 588
 
5.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2411
23.4%
대 412
 
4.0%
본 407
 
3.9%
남 323
 
3.1%
강 227
 
2.2%
호 202
 
2.0%
화 180
 
1.7%
홍 177
 
1.7%
역 169
 
1.6%
정 156
 
1.5%
Other values (315) 5645
54.8%
ASCII
ValueCountFrequency (%)
245
41.7%
2 71
 
12.1%
1 63
 
10.7%
4 46
 
7.8%
9 22
 
3.7%
C 21
 
3.6%
3 16
 
2.7%
S 15
 
2.6%
D 7
 
1.2%
T 7
 
1.2%
Other values (21) 75
 
12.8%

대표전화번호
Text

MISSING 

Distinct9722
Distinct (%)99.9%
Missing266
Missing (%)2.7%
Memory size78.3 KiB
2023-12-10T22:10:02.541109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.817239
Min length9

Characters and Unicode

Total characters115029
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9714 ?
Unique (%)99.8%

Sample

1st row070-7809-4769
2nd row02-745-6618
3rd row02-595-1935
4th row02-546-7719
5th row02-794-0282
ValueCountFrequency (%)
02-6388-5500 5
 
0.1%
02-772-3011 3
 
< 0.1%
051-990-1234 2
 
< 0.1%
070-8860-5287 2
 
< 0.1%
1577-9042 2
 
< 0.1%
064-735-5587 2
 
< 0.1%
02-3449-4061 2
 
< 0.1%
032-745-1234 2
 
< 0.1%
033-262-0209 1
 
< 0.1%
02-6013-4173 1
 
< 0.1%
Other values (9712) 9712
99.8%
2023-12-10T22:10:03.574185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19452
16.9%
0 17446
15.2%
2 12921
11.2%
3 11090
9.6%
7 9791
8.5%
5 8712
7.6%
1 8340
7.3%
4 8042
7.0%
6 7358
 
6.4%
8 6423
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95577
83.1%
Dash Punctuation 19452
 
16.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17446
18.3%
2 12921
13.5%
3 11090
11.6%
7 9791
10.2%
5 8712
9.1%
1 8340
8.7%
4 8042
8.4%
6 7358
7.7%
8 6423
 
6.7%
9 5454
 
5.7%
Dash Punctuation
ValueCountFrequency (%)
- 19452
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 115029
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19452
16.9%
0 17446
15.2%
2 12921
11.2%
3 11090
9.6%
7 9791
8.5%
5 8712
7.6%
1 8340
7.3%
4 8042
7.0%
6 7358
 
6.4%
8 6423
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 115029
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19452
16.9%
0 17446
15.2%
2 12921
11.2%
3 11090
9.6%
7 9791
8.5%
5 8712
7.6%
1 8340
7.3%
4 8042
7.0%
6 7358
 
6.4%
8 6423
 
5.6%

식당지번주소
Text

Distinct8326
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:10:04.114492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length17.8027
Min length12

Characters and Unicode

Total characters178027
Distinct characters268
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

Unique7438 ?
Unique (%)74.4%

Sample

1st row서울시 강남구 신사동 664-24
2nd row서울시 종로구 낙원동 85-7
3rd row서울시 서초구 반포동 107-45
4th row서울시 강남구 신사동 646-23
5th row서울시 용산구 한남동 684-24
ValueCountFrequency (%)
서울시 5381
 
12.9%
마포구 1713
 
4.1%
용산구 1218
 
2.9%
제주 1172
 
2.8%
부산시 1030
 
2.5%
강원도 906
 
2.2%
종로구 790
 
1.9%
중구 786
 
1.9%
강남구 776
 
1.9%
제주시 730
 
1.7%
Other values (8053) 27267
65.3%
2023-12-10T22:10:04.993627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31771
17.8%
시 9756
 
5.5%
동 9054
 
5.1%
1 8638
 
4.9%
- 8310
 
4.7%
구 7947
 
4.5%
서 7168
 
4.0%
2 5743
 
3.2%
울 5387
 
3.0%
3 5063
 
2.8%
Other values (258) 79190
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 95696
53.8%
Decimal Number 42250
23.7%
Space Separator 31771
 
17.8%
Dash Punctuation 8310
 
4.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9756
 
10.2%
동 9054
 
9.5%
구 7947
 
8.3%
서 7168
 
7.5%
울 5387
 
5.6%
산 2961
 
3.1%
포 2548
 
2.7%
주 2364
 
2.5%
강 2197
 
2.3%
남 2176
 
2.3%
Other values (246) 44138
46.1%
Decimal Number
ValueCountFrequency (%)
1 8638
20.4%
2 5743
13.6%
3 5063
12.0%
4 4296
10.2%
6 3529
8.4%
5 3456
8.2%
8 3083
 
7.3%
7 3016
 
7.1%
9 2731
 
6.5%
0 2695
 
6.4%
Space Separator
ValueCountFrequency (%)
31771
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8310
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 95696
53.8%
Common 82331
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9756
 
10.2%
동 9054
 
9.5%
구 7947
 
8.3%
서 7168
 
7.5%
울 5387
 
5.6%
산 2961
 
3.1%
포 2548
 
2.7%
주 2364
 
2.5%
강 2197
 
2.3%
남 2176
 
2.3%
Other values (246) 44138
46.1%
Common
ValueCountFrequency (%)
31771
38.6%
1 8638
 
10.5%
- 8310
 
10.1%
2 5743
 
7.0%
3 5063
 
6.1%
4 4296
 
5.2%
6 3529
 
4.3%
5 3456
 
4.2%
8 3083
 
3.7%
7 3016
 
3.7%
Other values (2) 5426
 
6.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 95696
53.8%
ASCII 82331
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31771
38.6%
1 8638
 
10.5%
- 8310
 
10.1%
2 5743
 
7.0%
3 5063
 
6.1%
4 4296
 
5.2%
6 3529
 
4.3%
5 3456
 
4.2%
8 3083
 
3.7%
7 3016
 
3.7%
Other values (2) 5426
 
6.6%
Hangul
ValueCountFrequency (%)
시 9756
 
10.2%
동 9054
 
9.5%
구 7947
 
8.3%
서 7168
 
7.5%
울 5387
 
5.6%
산 2961
 
3.1%
포 2548
 
2.7%
주 2364
 
2.5%
강 2197
 
2.3%
남 2176
 
2.3%
Other values (246) 44138
46.1%

식당도로명주소
Text

Distinct8319
Distinct (%)83.2%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
2023-12-10T22:10:05.585712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length30
Mean length19.5095
Min length13

Characters and Unicode

Total characters195095
Distinct characters413
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7404 ?
Unique (%)74.0%

Sample

1st row서울특별시 강남구 선릉로161길 7
2nd row서울특별시 종로구 삼일대로26길 20
3rd row서울특별시 서초구 사평대로18길 10
4th row서울특별시 강남구 언주로164길 39
5th row서울특별시 용산구 대사관로5길 28
ValueCountFrequency (%)
서울특별시 5380
 
12.9%
마포구 1713
 
4.1%
용산구 1218
 
2.9%
제주특별자치도 1173
 
2.8%
부산광역시 1029
 
2.5%
강원도 907
 
2.2%
종로구 790
 
1.9%
중구 786
 
1.9%
강남구 776
 
1.9%
제주시 730
 
1.7%
Other values (5084) 27277
65.3%
2023-12-10T22:10:06.695545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31781
 
16.3%
시 9823
 
5.0%
로 9412
 
4.8%
구 8149
 
4.2%
1 7082
 
3.6%
서 6667
 
3.4%
특 6553
 
3.4%
별 6553
 
3.4%
길 6050
 
3.1%
울 5505
 
2.8%
Other values (403) 97520
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 127183
65.2%
Decimal Number 33969
 
17.4%
Space Separator 31781
 
16.3%
Dash Punctuation 2158
 
1.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9823
 
7.7%
로 9412
 
7.4%
구 8149
 
6.4%
서 6667
 
5.2%
특 6553
 
5.2%
별 6553
 
5.2%
길 6050
 
4.8%
울 5505
 
4.3%
도 3360
 
2.6%
산 3302
 
2.6%
Other values (387) 61809
48.6%
Decimal Number
ValueCountFrequency (%)
1 7082
20.8%
2 4983
14.7%
3 3827
11.3%
4 3356
9.9%
5 3029
8.9%
6 2701
 
8.0%
7 2571
 
7.6%
8 2152
 
6.3%
0 2145
 
6.3%
9 2123
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
P 1
25.0%
E 1
25.0%
Space Separator
ValueCountFrequency (%)
31781
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2158
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 127183
65.2%
Common 67908
34.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9823
 
7.7%
로 9412
 
7.4%
구 8149
 
6.4%
서 6667
 
5.2%
특 6553
 
5.2%
별 6553
 
5.2%
길 6050
 
4.8%
울 5505
 
4.3%
도 3360
 
2.6%
산 3302
 
2.6%
Other values (387) 61809
48.6%
Common
ValueCountFrequency (%)
31781
46.8%
1 7082
 
10.4%
2 4983
 
7.3%
3 3827
 
5.6%
4 3356
 
4.9%
5 3029
 
4.5%
6 2701
 
4.0%
7 2571
 
3.8%
- 2158
 
3.2%
8 2152
 
3.2%
Other values (2) 4268
 
6.3%
Latin
ValueCountFrequency (%)
C 1
25.0%
A 1
25.0%
P 1
25.0%
E 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 127183
65.2%
ASCII 67912
34.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31781
46.8%
1 7082
 
10.4%
2 4983
 
7.3%
3 3827
 
5.6%
4 3356
 
4.9%
5 3029
 
4.5%
6 2701
 
4.0%
7 2571
 
3.8%
- 2158
 
3.2%
8 2152
 
3.2%
Other values (6) 4272
 
6.3%
Hangul
ValueCountFrequency (%)
시 9823
 
7.7%
로 9412
 
7.4%
구 8149
 
6.4%
서 6667
 
5.2%
특 6553
 
5.2%
별 6553
 
5.2%
길 6050
 
4.8%
울 5505
 
4.3%
도 3360
 
2.6%
산 3302
 
2.6%
Other values (387) 61809
48.6%

식당위도좌표값
Real number (ℝ)

Distinct9138
Distinct (%)91.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.651567
Minimum33.118369
Maximum38.493233
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:06.996817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.118369
5-th percentile33.44406
Q135.813813
median37.524053
Q337.555691
95-th percentile37.772673
Maximum38.493233
Range5.3748642
Interquartile range (IQR)1.7418783

Descriptive statistics

Standard deviation1.4712953
Coefficient of variation (CV)0.040142765
Kurtosis0.069000559
Mean36.651567
Median Absolute Deviation (MAD)0.05097146
Skewness-1.2394373
Sum366515.67
Variance2.1647097
MonotonicityNot monotonic
2023-12-10T22:10:07.319331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51419392 54
 
0.5%
37.51232892 22
 
0.2%
37.571113 17
 
0.2%
37.52719061 17
 
0.2%
37.55169675 16
 
0.2%
37.564616 15
 
0.1%
37.57111948 13
 
0.1%
37.52839396 12
 
0.1%
37.55371511 9
 
0.1%
37.5295628 8
 
0.1%
Other values (9128) 9817
98.2%
ValueCountFrequency (%)
33.11836873 1
< 0.1%
33.2084877 1
< 0.1%
33.20900558 1
< 0.1%
33.209776 1
< 0.1%
33.21248245 1
< 0.1%
33.21767517 1
< 0.1%
33.2178484 1
< 0.1%
33.2180175 1
< 0.1%
33.21812057 1
< 0.1%
33.2181357 1
< 0.1%
ValueCountFrequency (%)
38.4932329 1
< 0.1%
38.47857795 1
< 0.1%
38.44737125 1
< 0.1%
38.37983556 1
< 0.1%
38.3796954 1
< 0.1%
38.3755237 1
< 0.1%
38.3752432 1
< 0.1%
38.3727953 1
< 0.1%
38.3705898 1
< 0.1%
38.36955261 1
< 0.1%

식당경도좌표값
Real number (ℝ)

SKEWED 

Distinct9135
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.3808
Minimum37.526981
Maximum130.90971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:07.621615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.526981
5-th percentile126.46324
Q1126.92385
median126.99986
Q3127.72292
95-th percentile129.12892
Maximum130.90971
Range93.382724
Interquartile range (IQR)0.79907011

Descriptive statistics

Standard deviation1.2468837
Coefficient of variation (CV)0.0097886317
Kurtosis2696.3155
Mean127.3808
Median Absolute Deviation (MAD)0.085296435
Skewness-37.039563
Sum1273808
Variance1.554719
MonotonicityNot monotonic
2023-12-10T22:10:07.840039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1040148 54
 
0.5%
127.0976163 22
 
0.2%
127.02776092 17
 
0.2%
126.97912725 16
 
0.2%
126.91451918 16
 
0.2%
126.9820648 15
 
0.1%
126.98009134 13
 
0.1%
127.04004999 12
 
0.1%
126.92362771 9
 
0.1%
127.0048541 8
 
0.1%
Other values (9125) 9818
98.2%
ValueCountFrequency (%)
37.52698138 1
< 0.1%
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%
ValueCountFrequency (%)
130.909705 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%
129.55621338 1
< 0.1%
129.5540028 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
만원 미만
4831 
만원-2만원
3299 
2만원-3만원
1009 
4만원 이상
 
358
3만원-4만원
 
303

Length

Max length7
Median length6
Mean length5.6081
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
만원 미만 4831
48.3%
만원-2만원 3299
33.0%
2만원-3만원 1009
 
10.1%
4만원 이상 358
 
3.6%
3만원-4만원 303
 
3.0%
<NA> 200
 
2.0%

Length

2023-12-10T22:10:08.118006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:10:08.303167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 4831
31.8%
미만 4831
31.8%
만원-2만원 3299
21.7%
2만원-3만원 1009
 
6.6%
4만원 358
 
2.4%
이상 358
 
2.4%
3만원-4만원 303
 
2.0%
na 200
 
1.3%

음식대분류명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
한식
3879 
카페
2450 
양식
1154 
일식
968 
주점
608 
Other values (3)
941 

Length

Max length4
Median length2
Mean length2.079
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
한식 3879
38.8%
카페 2450
24.5%
양식 1154
 
11.5%
일식 968
 
9.7%
주점 608
 
6.1%
중식 479
 
4.8%
세계음식 395
 
4.0%
뷔페 67
 
0.7%

Length

2023-12-10T22:10:08.498447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:10:08.697002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 3879
38.8%
카페 2450
24.5%
양식 1154
 
11.5%
일식 968
 
9.7%
주점 608
 
6.1%
중식 479
 
4.8%
세계음식 395
 
4.0%
뷔페 67
 
0.7%

음식소분류명
Categorical

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
카페 / 디저트
2173 
고기 요리
851 
해산물 요리
648 
한정식 / 백반 / 정통 한식
595 
국수 / 면 요리
 
486
Other values (38)
5247 

Length

Max length16
Median length14
Mean length8.2688
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row이자카야 / 오뎅 / 꼬치
2nd row한정식 / 백반 / 정통 한식
3rd row정통 일식 / 일반 일식
4th row프랑스 음식
5th row기타 양식

Common Values

ValueCountFrequency (%)
카페 / 디저트 2173
21.7%
고기 요리 851
 
8.5%
해산물 요리 648
 
6.5%
한정식 / 백반 / 정통 한식 595
 
5.9%
국수 / 면 요리 486
 
4.9%
기타 한식 478
 
4.8%
탕 / 찌개 / 전골 472
 
4.7%
이탈리안 415
 
4.2%
정통 중식 / 일반 중식 326
 
3.3%
베이커리 277
 
2.8%
Other values (33) 3279
32.8%

Length

2023-12-10T22:10:08.960629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8012
25.2%
요리 2389
 
7.5%
카페 2173
 
6.8%
디저트 2173
 
6.8%
한식 1145
 
3.6%
정통 1061
 
3.3%
기타 895
 
2.8%
고기 851
 
2.7%
중식 775
 
2.4%
해산물 648
 
2.0%
Other values (57) 11637
36.6%

주차구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size78.3 KiB
주차공간없음
4183 
무료주차 가능
2658 
<NA>
1573 
유료주차 가능
1136 
발렛
450 

Length

Max length7
Median length6
Mean length5.8848
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주차공간없음 4183
41.8%
무료주차 가능 2658
26.6%
<NA> 1573
 
15.7%
유료주차 가능 1136
 
11.4%
발렛 450
 
4.5%

Length

2023-12-10T22:10:09.168902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:10:09.325200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주차공간없음 4183
30.3%
가능 3794
27.5%
무료주차 2658
19.3%
na 1573
 
11.4%
유료주차 1136
 
8.2%
발렛 450
 
3.3%

식당영업시간값
Text

MISSING 

Distinct1962
Distinct (%)22.5%
Missing1272
Missing (%)12.7%
Memory size78.3 KiB
2023-12-10T22:10:09.689783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length92
Median length13
Mean length17.933318
Min length3

Characters and Unicode

Total characters156522
Distinct characters24
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

Unique1473 ?
Unique (%)16.9%

Sample

1st row18:00 - 24:00
2nd row11:30 - 22:00
3rd row12:00 - 22:00
4th row12:00 - 22:30
5th row11:00 - 21:00
ValueCountFrequency (%)
10549
30.0%
22:00 2457
 
7.0%
11:00 2305
 
6.6%
11:30 1630
 
4.6%
21:00 1433
 
4.1%
12:00 1175
 
3.3%
10:00 1059
 
3.0%
23:00 996
 
2.8%
24:00 910
 
2.6%
20:00 786
 
2.2%
Other values (130) 11821
33.7%
2023-12-10T22:10:10.557719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 43959
28.1%
26502
16.9%
: 24550
15.7%
1 16099
 
10.3%
- 13146
 
8.4%
2 12780
 
8.2%
3 6071
 
3.9%
, 1832
 
1.2%
토 1507
 
1.0%
일 1402
 
0.9%
Other values (14) 8674
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 84381
53.9%
Space Separator 26502
 
16.9%
Other Punctuation 26382
 
16.9%
Dash Punctuation 13146
 
8.4%
Other Letter 6111
 
3.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 43959
52.1%
1 16099
 
19.1%
2 12780
 
15.1%
3 6071
 
7.2%
4 1245
 
1.5%
8 1122
 
1.3%
9 1102
 
1.3%
7 1030
 
1.2%
6 489
 
0.6%
5 484
 
0.6%
Other Letter
ValueCountFrequency (%)
토 1507
24.7%
일 1402
22.9%
금 1229
20.1%
월 1227
20.1%
목 405
 
6.6%
화 196
 
3.2%
수 76
 
1.2%
유 23
 
0.4%
동 23
 
0.4%
적 23
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 24550
93.1%
, 1832
 
6.9%
Space Separator
ValueCountFrequency (%)
26502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 150411
96.1%
Hangul 6111
 
3.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 43959
29.2%
26502
17.6%
: 24550
16.3%
1 16099
 
10.7%
- 13146
 
8.7%
2 12780
 
8.5%
3 6071
 
4.0%
, 1832
 
1.2%
4 1245
 
0.8%
8 1122
 
0.7%
Other values (4) 3105
 
2.1%
Hangul
ValueCountFrequency (%)
토 1507
24.7%
일 1402
22.9%
금 1229
20.1%
월 1227
20.1%
목 405
 
6.6%
화 196
 
3.2%
수 76
 
1.2%
유 23
 
0.4%
동 23
 
0.4%
적 23
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150411
96.1%
Hangul 6111
 
3.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 43959
29.2%
26502
17.6%
: 24550
16.3%
1 16099
 
10.7%
- 13146
 
8.7%
2 12780
 
8.5%
3 6071
 
4.0%
, 1832
 
1.2%
4 1245
 
0.8%
8 1122
 
0.7%
Other values (4) 3105
 
2.1%
Hangul
ValueCountFrequency (%)
토 1507
24.7%
일 1402
22.9%
금 1229
20.1%
월 1227
20.1%
목 405
 
6.6%
화 196
 
3.2%
수 76
 
1.2%
유 23
 
0.4%
동 23
 
0.4%
적 23
 
0.4%

휴식시간내용
Text

MISSING 

Distinct217
Distinct (%)15.5%
Missing8596
Missing (%)86.0%
Memory size78.3 KiB
2023-12-10T22:10:10.862248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length102
Median length13
Mean length15.798433
Min length11

Characters and Unicode

Total characters22181
Distinct characters29
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)10.3%

Sample

1st row15:00 - 18:00
2nd row15:00 - 18:00
3rd row15:00 - 16:30
4th row15:00 - 18:00
5th row15:00 - 17:30
ValueCountFrequency (%)
1553
30.9%
15:00 870
17.3%
17:00 815
16.2%
17:30 255
 
5.1%
월-금 227
 
4.5%
18:00 203
 
4.0%
14:30 195
 
3.9%
16:00 186
 
3.7%
15:30 176
 
3.5%
16:30 102
 
2.0%
Other values (67) 437
 
8.7%
2023-12-10T22:10:11.336674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5356
24.1%
3615
16.3%
: 3468
15.6%
1 3089
13.9%
- 1910
 
8.6%
7 1079
 
4.9%
5 1074
 
4.8%
3 821
 
3.7%
4 305
 
1.4%
6 296
 
1.3%
Other values (19) 1168
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12280
55.4%
Space Separator 3615
 
16.3%
Other Punctuation 3598
 
16.2%
Dash Punctuation 1910
 
8.6%
Other Letter 771
 
3.5%
Lowercase Letter 4
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5356
43.6%
1 3089
25.2%
7 1079
 
8.8%
5 1074
 
8.7%
3 821
 
6.7%
4 305
 
2.5%
6 296
 
2.4%
8 213
 
1.7%
2 34
 
0.3%
9 13
 
0.1%
Other Letter
ValueCountFrequency (%)
금 272
35.3%
월 240
31.1%
토 110
14.3%
일 96
 
12.5%
화 32
 
4.2%
목 14
 
1.8%
수 7
 
0.9%
Lowercase Letter
ValueCountFrequency (%)
r 1
25.0%
i 1
25.0%
u 1
25.0%
n 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 3468
96.4%
, 109
 
3.0%
/ 21
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
F 1
50.0%
S 1
50.0%
Space Separator
ValueCountFrequency (%)
3615
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1910
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21404
96.5%
Hangul 771
 
3.5%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5356
25.0%
3615
16.9%
: 3468
16.2%
1 3089
14.4%
- 1910
 
8.9%
7 1079
 
5.0%
5 1074
 
5.0%
3 821
 
3.8%
4 305
 
1.4%
6 296
 
1.4%
Other values (6) 391
 
1.8%
Hangul
ValueCountFrequency (%)
금 272
35.3%
월 240
31.1%
토 110
14.3%
일 96
 
12.5%
화 32
 
4.2%
목 14
 
1.8%
수 7
 
0.9%
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 21410
96.5%
Hangul 771
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5356
25.0%
3615
16.9%
: 3468
16.2%
1 3089
14.4%
- 1910
 
8.9%
7 1079
 
5.0%
5 1074
 
5.0%
3 821
 
3.8%
4 305
 
1.4%
6 296
 
1.4%
Other values (12) 397
 
1.9%
Hangul
ValueCountFrequency (%)
금 272
35.3%
월 240
31.1%
토 110
14.3%
일 96
 
12.5%
화 32
 
4.2%
목 14
 
1.8%
수 7
 
0.9%

최종주문가능시간값
Text

MISSING 

Distinct223
Distinct (%)11.8%
Missing8113
Missing (%)81.1%
Memory size78.3 KiB
2023-12-10T22:10:11.740193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length5
Mean length6.4403816
Min length1

Characters and Unicode

Total characters12153
Distinct characters23
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

Unique151 ?
Unique (%)8.0%

Sample

1st row13:30, 20:30
2nd row14:00, 21:00
3rd row20:30
4th row14:30, 19:55
5th row01:00
ValueCountFrequency (%)
21:00 489
20.7%
21:30 254
 
10.8%
20:30 242
 
10.3%
20:00 167
 
7.1%
22:00 137
 
5.8%
22:30 74
 
3.1%
23:00 72
 
3.1%
19:30 70
 
3.0%
14:30 53
 
2.2%
19:00 45
 
1.9%
Other values (99) 756
32.0%
2023-12-10T22:10:12.344725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3817
31.4%
: 2344
19.3%
2 2037
16.8%
1 1264
 
10.4%
3 892
 
7.3%
476
 
3.9%
, 230
 
1.9%
4 211
 
1.7%
- 172
 
1.4%
9 136
 
1.1%
Other values (13) 574
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8528
70.2%
Other Punctuation 2587
 
21.3%
Space Separator 476
 
3.9%
Other Letter 388
 
3.2%
Dash Punctuation 172
 
1.4%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3817
44.8%
2 2037
23.9%
1 1264
 
14.8%
3 892
 
10.5%
4 211
 
2.5%
9 136
 
1.6%
5 103
 
1.2%
8 38
 
0.4%
7 16
 
0.2%
6 14
 
0.2%
Other Letter
ValueCountFrequency (%)
토 101
26.0%
일 96
24.7%
월 78
20.1%
금 69
17.8%
목 24
 
6.2%
화 15
 
3.9%
수 5
 
1.3%
Other Punctuation
ValueCountFrequency (%)
: 2344
90.6%
, 230
 
8.9%
/ 13
 
0.5%
Space Separator
ValueCountFrequency (%)
476
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11765
96.8%
Hangul 388
 
3.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3817
32.4%
: 2344
19.9%
2 2037
17.3%
1 1264
 
10.7%
3 892
 
7.6%
476
 
4.0%
, 230
 
2.0%
4 211
 
1.8%
- 172
 
1.5%
9 136
 
1.2%
Other values (6) 186
 
1.6%
Hangul
ValueCountFrequency (%)
토 101
26.0%
일 96
24.7%
월 78
20.1%
금 69
17.8%
목 24
 
6.2%
화 15
 
3.9%
수 5
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11765
96.8%
Hangul 388
 
3.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3817
32.4%
: 2344
19.9%
2 2037
17.3%
1 1264
 
10.7%
3 892
 
7.6%
476
 
4.0%
, 230
 
2.0%
4 211
 
1.8%
- 172
 
1.5%
9 136
 
1.2%
Other values (6) 186
 
1.6%
Hangul
ValueCountFrequency (%)
토 101
26.0%
일 96
24.7%
월 78
20.1%
금 69
17.8%
목 24
 
6.2%
화 15
 
3.9%
수 5
 
1.3%

식당휴일내용
Text

MISSING 

Distinct136
Distinct (%)5.0%
Missing7293
Missing (%)72.9%
Memory size78.3 KiB
2023-12-10T22:10:12.629451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length1
Mean length2.1544145
Min length1

Characters and Unicode

Total characters5832
Distinct characters39
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

Unique65 ?
Unique (%)2.4%

Sample

1st row일, 둘째/넷째 월
2nd row일
3rd row일
4th row일, 월
5th row둘째/넷째 일
ValueCountFrequency (%)
일 1140
32.8%
월 984
28.3%
화 443
 
12.8%
수 255
 
7.3%
둘째/넷째 121
 
3.5%
토 96
 
2.8%
첫째/셋째 84
 
2.4%
목 73
 
2.1%
첫째 48
 
1.4%
셋째 43
 
1.2%
Other values (30) 187
 
5.4%
2023-12-10T22:10:13.192184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1152
19.8%
월 987
16.9%
769
13.2%
째 609
10.4%
화 446
 
7.6%
, 368
 
6.3%
수 257
 
4.4%
/ 234
 
4.0%
둘 169
 
2.9%
넷 158
 
2.7%
Other values (29) 683
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4458
76.4%
Space Separator 769
 
13.2%
Other Punctuation 602
 
10.3%
Decimal Number 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1152
25.8%
월 987
22.1%
째 609
13.7%
화 446
 
10.0%
수 257
 
5.8%
둘 169
 
3.8%
넷 158
 
3.5%
첫 142
 
3.2%
셋 138
 
3.1%
토 97
 
2.2%
Other values (23) 303
 
6.8%
Other Punctuation
ValueCountFrequency (%)
, 368
61.1%
/ 234
38.9%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
6 1
50.0%
Space Separator
ValueCountFrequency (%)
769
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4458
76.4%
Common 1374
 
23.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1152
25.8%
월 987
22.1%
째 609
13.7%
화 446
 
10.0%
수 257
 
5.8%
둘 169
 
3.8%
넷 158
 
3.5%
첫 142
 
3.2%
셋 138
 
3.1%
토 97
 
2.2%
Other values (23) 303
 
6.8%
Common
ValueCountFrequency (%)
769
56.0%
, 368
26.8%
/ 234
 
17.0%
- 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4458
76.4%
ASCII 1374
 
23.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1152
25.8%
월 987
22.1%
째 609
13.7%
화 446
 
10.0%
수 257
 
5.8%
둘 169
 
3.8%
넷 158
 
3.5%
첫 142
 
3.2%
셋 138
 
3.1%
토 97
 
2.2%
Other values (23) 303
 
6.8%
ASCII
ValueCountFrequency (%)
769
56.0%
, 368
26.8%
/ 234
 
17.0%
- 1
 
0.1%
1 1
 
0.1%
6 1
 
0.1%

메인메뉴내용
Text

MISSING 

Distinct302
Distinct (%)6.9%
Missing5612
Missing (%)56.1%
Memory size78.3 KiB
2023-12-10T22:10:13.714377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length16
Mean length6.1114403
Min length1

Characters and Unicode

Total characters26817
Distinct characters303
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

Unique72 ?
Unique (%)1.6%

Sample

1st row이자카야
2nd row백반 / 가정식
3rd row정통 일식
4th row샐러드 전문점
5th row일식 꼬치바
ValueCountFrequency (%)
전문점 2004
23.0%
카페 854
 
9.8%
525
 
6.0%
음식 429
 
4.9%
이탈리안 199
 
2.3%
중식 176
 
2.0%
일식 153
 
1.8%
베이커리 151
 
1.7%
기타 146
 
1.7%
일반 142
 
1.6%
Other values (312) 3940
45.2%
2023-12-10T22:10:14.475898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4331
 
16.2%
전 2215
 
8.3%
점 2073
 
7.7%
문 2007
 
7.5%
식 1086
 
4.0%
카 977
 
3.6%
페 913
 
3.4%
이 677
 
2.5%
/ 525
 
2.0%
음 442
 
1.6%
Other values (293) 11571
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21959
81.9%
Space Separator 4331
 
16.2%
Other Punctuation 525
 
2.0%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 2215
 
10.1%
점 2073
 
9.4%
문 2007
 
9.1%
식 1086
 
4.9%
카 977
 
4.4%
페 913
 
4.2%
이 677
 
3.1%
음 442
 
2.0%
리 427
 
1.9%
일 373
 
1.7%
Other values (289) 10769
49.0%
Space Separator
ValueCountFrequency (%)
4331
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 525
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21959
81.9%
Common 4858
 
18.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 2215
 
10.1%
점 2073
 
9.4%
문 2007
 
9.1%
식 1086
 
4.9%
카 977
 
4.4%
페 913
 
4.2%
이 677
 
3.1%
음 442
 
2.0%
리 427
 
1.9%
일 373
 
1.7%
Other values (289) 10769
49.0%
Common
ValueCountFrequency (%)
4331
89.2%
/ 525
 
10.8%
( 1
 
< 0.1%
) 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21959
81.9%
ASCII 4858
 
18.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4331
89.2%
/ 525
 
10.8%
( 1
 
< 0.1%
) 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
전 2215
 
10.1%
점 2073
 
9.4%
문 2007
 
9.1%
식 1086
 
4.9%
카 977
 
4.4%
페 913
 
4.2%
이 677
 
3.1%
음 442
 
2.0%
리 427
 
1.9%
일 373
 
1.7%
Other values (289) 10769
49.0%

식당평점값
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)0.5%
Missing5473
Missing (%)54.7%
Infinite0
Infinite (%)0.0%
Mean3.7923349
Minimum2.5
Maximum4.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:14.734239image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

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

Descriptive statistics

Standard deviation0.3705891
Coefficient of variation (CV)0.097720564
Kurtosis-0.062281455
Mean3.7923349
Median Absolute Deviation (MAD)0.3
Skewness-0.24383623
Sum17167.9
Variance0.13733628
MonotonicityDecreasing
2023-12-10T22:10:14.941889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3.9 642
 
6.4%
3.7 416
 
4.2%
4.0 410
 
4.1%
3.8 403
 
4.0%
3.6 371
 
3.7%
4.1 347
 
3.5%
3.4 332
 
3.3%
3.5 307
 
3.1%
4.3 283
 
2.8%
4.2 252
 
2.5%
Other values (14) 764
 
7.6%
(Missing) 5473
54.7%
ValueCountFrequency (%)
2.5 3
 
< 0.1%
2.6 6
 
0.1%
2.7 14
 
0.1%
2.8 24
 
0.2%
2.9 30
 
0.3%
3.0 45
 
0.4%
3.1 82
 
0.8%
3.2 122
 
1.2%
3.3 206
2.1%
3.4 332
3.3%
ValueCountFrequency (%)
4.8 3
 
< 0.1%
4.7 17
 
0.2%
4.6 52
 
0.5%
4.5 46
 
0.5%
4.4 114
 
1.1%
4.3 283
2.8%
4.2 252
 
2.5%
4.1 347
3.5%
4.0 410
4.1%
3.9 642
6.4%

식당리뷰수
Real number (ℝ)

Distinct235
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.3461
Minimum3
Maximum532
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:15.137751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q15
median8
Q317
95-th percentile69
Maximum532
Range529
Interquartile range (IQR)12

Descriptive statistics

Standard deviation32.082981
Coefficient of variation (CV)1.748763
Kurtosis43.250964
Mean18.3461
Median Absolute Deviation (MAD)4
Skewness5.3972456
Sum183461
Variance1029.3176
MonotonicityNot monotonic
2023-12-10T22:10:15.357020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 1683
16.8%
5 1100
 
11.0%
6 824
 
8.2%
7 608
 
6.1%
3 598
 
6.0%
8 494
 
4.9%
9 403
 
4.0%
10 351
 
3.5%
11 309
 
3.1%
13 253
 
2.5%
Other values (225) 3377
33.8%
ValueCountFrequency (%)
3 598
 
6.0%
4 1683
16.8%
5 1100
11.0%
6 824
8.2%
7 608
 
6.1%
8 494
 
4.9%
9 403
 
4.0%
10 351
 
3.5%
11 309
 
3.1%
12 239
 
2.4%
ValueCountFrequency (%)
532 1
< 0.1%
519 1
< 0.1%
441 1
< 0.1%
408 1
< 0.1%
406 1
< 0.1%
383 1
< 0.1%
366 1
< 0.1%
364 1
< 0.1%
359 1
< 0.1%
352 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct7908
Distinct (%)79.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17862.805
Minimum25
Maximum586475
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:15.575421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum25
5-th percentile1508.85
Q13614.75
median6579.5
Q315513.5
95-th percentile70662.1
Maximum586475
Range586450
Interquartile range (IQR)11898.75

Descriptive statistics

Standard deviation36020.881
Coefficient of variation (CV)2.0165299
Kurtosis47.145177
Mean17862.805
Median Absolute Deviation (MAD)3949.5
Skewness5.7665321
Sum1.7862805 × 108
Variance1.2975039 × 109
MonotonicityNot monotonic
2023-12-10T22:10:15.788099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4561 6
 
0.1%
3854 6
 
0.1%
3208 6
 
0.1%
3843 5
 
0.1%
2547 5
 
0.1%
3075 5
 
0.1%
3807 5
 
0.1%
3825 5
 
0.1%
3948 5
 
0.1%
4213 5
 
0.1%
Other values (7898) 9947
99.5%
ValueCountFrequency (%)
25 1
< 0.1%
39 1
< 0.1%
67 1
< 0.1%
89 1
< 0.1%
91 1
< 0.1%
118 1
< 0.1%
154 1
< 0.1%
169 1
< 0.1%
170 1
< 0.1%
171 1
< 0.1%
ValueCountFrequency (%)
586475 1
< 0.1%
570156 1
< 0.1%
467612 1
< 0.1%
463730 1
< 0.1%
413548 1
< 0.1%
408325 1
< 0.1%
404501 1
< 0.1%
399025 1
< 0.1%
393447 1
< 0.1%
393337 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct1690
Distinct (%)16.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean380.3846
Minimum0
Maximum10945
Zeros10
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size88.0 KiB
2023-12-10T22:10:16.022106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10
Q135
median98
Q3328
95-th percentile1771.05
Maximum10945
Range10945
Interquartile range (IQR)293

Descriptive statistics

Standard deviation831.05626
Coefficient of variation (CV)2.1847789
Kurtosis32.535016
Mean380.3846
Median Absolute Deviation (MAD)78
Skewness4.9411114
Sum3803846
Variance690654.5
MonotonicityNot monotonic
2023-12-10T22:10:16.266492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 102
 
1.0%
12 97
 
1.0%
23 94
 
0.9%
24 90
 
0.9%
13 90
 
0.9%
26 89
 
0.9%
16 86
 
0.9%
18 84
 
0.8%
28 84
 
0.8%
10 83
 
0.8%
Other values (1680) 9101
91.0%
ValueCountFrequency (%)
0 10
 
0.1%
1 18
 
0.2%
2 30
 
0.3%
3 35
0.4%
4 36
0.4%
5 48
0.5%
6 52
0.5%
7 63
0.6%
8 79
0.8%
9 75
0.8%
ValueCountFrequency (%)
10945 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%
8305 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

2023-12-10T22:10:16.814590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T22:10:16.975139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
02021089EVyzauilukl시라카와<NA>070-7809-4769서울시 강남구 신사동 664-24서울특별시 강남구 선릉로161길 737.527015127.0396012만원-3만원일식이자카야 / 오뎅 / 꼬치발렛18:00 - 24:00<NA><NA>일, 둘째/넷째 월이자카야4.8561746934365202108
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
3202108mfwd78vEtS파씨오네<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
4202108pWBiN0PLlB샐러드셀러<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
5202108mIomHshZmH쿠이신보<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
6202108YqO915KDI9이치류홍대본점02-3144-1312서울시 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
7202108aeO_cG35KO패스트리부티크서울신라호텔02-2230-3377서울시 중구 장충동2가 202서울특별시 중구 동호로 24937.556689127.0049084만원 이상카페베이커리발렛07:00 - 22:00<NA><NA><NA>베이커리4.7821573912570202108
8202108a6KR_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
9202108Fvgyq1HAiny6쥬에<NA>02-798-9700서울시 용산구 한남동 3-1서울특별시 용산구 독서당로 124-737.537487127.01284만원 이상중식정통 중식 / 일반 중식발렛11:30 - 22:0015:00 - 18:00<NA><NA>고급 중식4.7702765195068202108
기준년월식당ID식당명지점명대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
9990202108umQKuqtXOi웰빙오계가든<NA>033-441-9595강원도 화천군 화천읍 아리 107-1강원도 화천군 화천읍 가손이길 4338.100516127.725744<NA>한식닭 / 오리 요리<NA><NA><NA><NA><NA><NA><NA>336074202108
9991202108rNczHAv2uH셔블웨스틴 조선호텔 부산051-749-7437부산시 해운대구 우동 737부산광역시 해운대구 동백로 6735.156093129.1538893만원-4만원한식한정식 / 백반 / 정통 한식유료주차 가능11:30 - 21:30<NA><NA><NA><NA><NA>3360216202108
9992202108Y9TUCEDQXoqX동해오징어보쌈<NA>02-753-3323서울시 용산구 후암동 109-27서울특별시 용산구 후암로35길 4737.549436126.976113만원 미만한식해산물 요리주차공간없음11:00 - 22:00<NA><NA><NA><NA><NA>3360072202108
9993202108hOC1Xw9K0CtR해우리잠실역점02-412-4997서울시 송파구 신천동 7-17서울특별시 송파구 송파대로 56237.515197127.0992133만원-4만원한식한정식 / 백반 / 정통 한식유료주차 가능월-금: 11:30 - 22:00, 토-일: 11:30 - 21:0014:30 - 17:00<NA><NA><NA><NA>3359812202108
9994202108OJed--uVOk-Y피터콤마안목가게<NA>033-652-9294강원도 강릉시 견소동 110-7강원도 강릉시 경강로 260837.773041128.944398<NA>양식기타 양식무료주차 가능11:00 - 22:00<NA><NA>월<NA><NA>3359646202108
9995202108CppRQqAjqE창우물회<NA>054-284-4312경상북도 포항시 남구 구룡포읍 구룡포리 390-39경상북도 포항시 남구 구룡포읍 호미로 28135.990459129.560944만원-2만원한식해산물 요리무료주차 가능월-금: 09:30 - 21:00, 토-일: 09:30 - 22:00<NA><NA><NA><NA><NA>3359440202108
9996202108_IniR0Nz79Ra카페2085<NA>010-4228-1729제주 제주시 조천읍 선흘리 2085제주특별자치도 제주시 조천읍 선교로 18533.486552126.699997만원 미만카페카페 / 디저트무료주차 가능11:00 - 20:00<NA>19:00수<NA><NA>3359322202108
9997202108wIJibG40RQ빛고을식당<NA>033-644-2120강원도 강릉시 강문동 294-1강원도 강릉시 창해로 47337.802684128.910199만원 미만한식한정식 / 백반 / 정통 한식무료주차 가능08:00 - 21:00<NA><NA><NA><NA><NA>3358740202108
99982021087wVj1mUDcEBG판포미인<NA>064-773-7730제주 제주시 한경면 판포리 2913-1제주특별자치도 제주시 한경면 판포1길 1133.365296126.198074만원-2만원한식한정식 / 백반 / 정통 한식<NA><NA><NA><NA><NA><NA><NA>3358586202108
9999202108FucoNtwsYtL3제주삼다돈<NA>02-3144-2052서울시 마포구 서교동 384-10서울특별시 마포구 양화로11길 6637.552139126.913173만원-2만원한식고기 요리무료주차 가능11:00 - 23:00<NA>22:00<NA><NA><NA>3358016202108