Overview

Dataset statistics

Number of variables10
Number of observations10000
Missing cells810
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory888.7 KiB
Average record size in memory91.0 B

Variable types

Numeric3
Text7

Dataset

Description화천군 내에 있는 음식점의 메뉴와 이미지 정보 제공
Author강원도 화천군
URLhttps://www.data.go.kr/data/15076805/fileData.do

Alerts

메뉴태그정보 has 172 (1.7%) missing valuesMissing
메뉴태그-영어 has 208 (2.1%) missing valuesMissing
메뉴태그-일본어 has 212 (2.1%) missing valuesMissing
메뉴태그-중국어(간체) has 212 (2.1%) missing valuesMissing
메뉴ID has unique valuesUnique
메뉴가격 has 112 (1.1%) zerosZeros

Reproduction

Analysis started2023-12-12 19:15:28.519994
Analysis finished2023-12-12 19:15:32.398682
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당ID
Real number (ℝ)

Distinct399
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean481657.5
Minimum1657
Maximum865280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:15:32.510916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1657
5-th percentile69588
Q1280602
median486030
Q3739445
95-th percentile862021
Maximum865280
Range863623
Interquartile range (IQR)458843

Descriptive statistics

Standard deviation272856.25
Coefficient of variation (CV)0.56649433
Kurtosis-1.3387989
Mean481657.5
Median Absolute Deviation (MAD)217011
Skewness-0.053119114
Sum4.816575 × 109
Variance7.4450531 × 1010
MonotonicityNot monotonic
2023-12-13T04:15:32.693309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319636 195
 
1.9%
865280 151
 
1.5%
862040 127
 
1.3%
652564 119
 
1.2%
861999 107
 
1.1%
779244 106
 
1.1%
862106 100
 
1.0%
477929 92
 
0.9%
807976 92
 
0.9%
703041 90
 
0.9%
Other values (389) 8821
88.2%
ValueCountFrequency (%)
1657 43
0.4%
2395 26
0.3%
7397 25
0.2%
9651 51
0.5%
11307 48
0.5%
12135 14
 
0.1%
13641 14
 
0.1%
15825 35
0.4%
16311 15
 
0.1%
24678 19
 
0.2%
ValueCountFrequency (%)
865280 151
1.5%
862106 100
1.0%
862096 33
 
0.3%
862087 11
 
0.1%
862074 2
 
< 0.1%
862063 12
 
0.1%
862060 11
 
0.1%
862046 7
 
0.1%
862040 127
1.3%
862032 12
 
0.1%

식당명
Text

Distinct397
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:15:33.022942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length6.754
Min length1

Characters and Unicode

Total characters67540
Distinct characters420
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)< 0.1%

Sample

1st row골목식당
2nd row페리카나 사창리점
3rd row유로코피자
4th row육회본가
5th row빨간낙지
ValueCountFrequency (%)
화천점 985
 
7.2%
강원화천점 450
 
3.3%
네네치킨 346
 
2.5%
사내점 330
 
2.4%
다목리점 220
 
1.6%
피자에땅 176
 
1.3%
화천사내점 175
 
1.3%
bhc치킨 171
 
1.3%
메가커피 164
 
1.2%
베리원치킨&임실피자 151
 
1.1%
Other values (409) 10462
76.8%
2023-12-13T04:15:33.567560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 3681
 
5.5%
3630
 
5.4%
화 2689
 
4.0%
천 2633
 
3.9%
리 1956
 
2.9%
피 1624
 
2.4%
치 1594
 
2.4%
킨 1393
 
2.1%
사 1216
 
1.8%
자 1055
 
1.6%
Other values (410) 46069
68.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 60340
89.3%
Space Separator 3630
 
5.4%
Uppercase Letter 1776
 
2.6%
Lowercase Letter 1031
 
1.5%
Decimal Number 440
 
0.7%
Other Punctuation 323
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 3681
 
6.1%
화 2689
 
4.5%
천 2633
 
4.4%
리 1956
 
3.2%
피 1624
 
2.7%
치 1594
 
2.6%
킨 1393
 
2.3%
사 1216
 
2.0%
자 1055
 
1.7%
원 1023
 
1.7%
Other values (372) 41476
68.7%
Uppercase Letter
ValueCountFrequency (%)
B 410
23.1%
C 276
15.5%
O 179
10.1%
H 171
9.6%
F 142
 
8.0%
A 103
 
5.8%
Q 101
 
5.7%
R 97
 
5.5%
E 86
 
4.8%
D 73
 
4.1%
Other values (5) 138
 
7.8%
Lowercase Letter
ValueCountFrequency (%)
f 192
18.6%
e 192
18.6%
n 143
13.9%
a 98
9.5%
o 96
9.3%
c 96
9.3%
m 58
 
5.6%
r 49
 
4.8%
t 49
 
4.8%
h 49
 
4.8%
Decimal Number
ValueCountFrequency (%)
9 111
25.2%
5 94
21.4%
1 79
18.0%
2 58
13.2%
4 42
 
9.5%
7 42
 
9.5%
3 14
 
3.2%
Other Punctuation
ValueCountFrequency (%)
& 248
76.8%
; 30
 
9.3%
! 27
 
8.4%
/ 18
 
5.6%
Space Separator
ValueCountFrequency (%)
3630
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 60340
89.3%
Common 4393
 
6.5%
Latin 2807
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 3681
 
6.1%
화 2689
 
4.5%
천 2633
 
4.4%
리 1956
 
3.2%
피 1624
 
2.7%
치 1594
 
2.6%
킨 1393
 
2.3%
사 1216
 
2.0%
자 1055
 
1.7%
원 1023
 
1.7%
Other values (372) 41476
68.7%
Latin
ValueCountFrequency (%)
B 410
14.6%
C 276
 
9.8%
f 192
 
6.8%
e 192
 
6.8%
O 179
 
6.4%
H 171
 
6.1%
n 143
 
5.1%
F 142
 
5.1%
A 103
 
3.7%
Q 101
 
3.6%
Other values (16) 898
32.0%
Common
ValueCountFrequency (%)
3630
82.6%
& 248
 
5.6%
9 111
 
2.5%
5 94
 
2.1%
1 79
 
1.8%
2 58
 
1.3%
4 42
 
1.0%
7 42
 
1.0%
; 30
 
0.7%
! 27
 
0.6%
Other values (2) 32
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 60332
89.3%
ASCII 7200
 
10.7%
Compat Jamo 8
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 3681
 
6.1%
화 2689
 
4.5%
천 2633
 
4.4%
리 1956
 
3.2%
피 1624
 
2.7%
치 1594
 
2.6%
킨 1393
 
2.3%
사 1216
 
2.0%
자 1055
 
1.7%
원 1023
 
1.7%
Other values (371) 41468
68.7%
ASCII
ValueCountFrequency (%)
3630
50.4%
B 410
 
5.7%
C 276
 
3.8%
& 248
 
3.4%
f 192
 
2.7%
e 192
 
2.7%
O 179
 
2.5%
H 171
 
2.4%
n 143
 
2.0%
F 142
 
2.0%
Other values (28) 1617
22.5%
Compat Jamo
ValueCountFrequency (%)
ㅕ 8
100.0%

메뉴ID
Real number (ℝ)

UNIQUE 

Distinct10000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62780.184
Minimum24590
Maximum506247
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2023-12-13T04:15:33.760547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24590
5-th percentile26085.95
Q128743.25
median32179.5
Q384458.25
95-th percentile260186.05
Maximum506247
Range481657
Interquartile range (IQR)55715

Descriptive statistics

Standard deviation66475.946
Coefficient of variation (CV)1.0588683
Kurtosis5.9911711
Mean62780.184
Median Absolute Deviation (MAD)4198
Skewness2.5186579
Sum6.2780184 × 108
Variance4.4190513 × 109
MonotonicityNot monotonic
2023-12-13T04:15:33.963709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
86643 1
 
< 0.1%
27495 1
 
< 0.1%
90345 1
 
< 0.1%
260346 1
 
< 0.1%
90580 1
 
< 0.1%
33985 1
 
< 0.1%
83300 1
 
< 0.1%
198030 1
 
< 0.1%
34658 1
 
< 0.1%
26096 1
 
< 0.1%
Other values (9990) 9990
99.9%
ValueCountFrequency (%)
24590 1
< 0.1%
24591 1
< 0.1%
24593 1
< 0.1%
24594 1
< 0.1%
24595 1
< 0.1%
24596 1
< 0.1%
24597 1
< 0.1%
24598 1
< 0.1%
24600 1
< 0.1%
24601 1
< 0.1%
ValueCountFrequency (%)
506247 1
< 0.1%
506244 1
< 0.1%
506235 1
< 0.1%
506234 1
< 0.1%
506233 1
< 0.1%
506232 1
< 0.1%
313917 1
< 0.1%
313916 1
< 0.1%
313915 1
< 0.1%
313913 1
< 0.1%

메뉴명
Text

Distinct6329
Distinct (%)63.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2023-12-13T04:15:34.635095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26
Mean length6.8899
Min length1

Characters and Unicode

Total characters68899
Distinct characters794
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5305 ?
Unique (%)53.0%

Sample

1st row묵은지돼지
2nd row순살양념치킨
3rd row정원초과(대)
4th row산낙육회
5th row공기밥
ValueCountFrequency (%)
소주 213
 
2.1%
맥주 199
 
2.0%
음료수 145
 
1.4%
공기밥 110
 
1.1%
막걸리 61
 
0.6%
청하 60
 
0.6%
볶음밥 44
 
0.4%
된장찌개 37
 
0.4%
복분자 36
 
0.4%
백세주 32
 
0.3%
Other values (6294) 9147
90.7%
2023-12-13T04:15:35.314535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 4146
 
6.0%
) 4143
 
6.0%
이 1509
 
2.2%
치 1437
 
2.1%
라 1065
 
1.5%
스 1028
 
1.5%
리 995
 
1.4%
0 852
 
1.2%
/ 817
 
1.2%
대 775
 
1.1%
Other values (784) 52132
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 52164
75.7%
Open Punctuation 4148
 
6.0%
Close Punctuation 4145
 
6.0%
Uppercase Letter 2615
 
3.8%
Decimal Number 2614
 
3.8%
Lowercase Letter 1794
 
2.6%
Other Punctuation 956
 
1.4%
Math Symbol 248
 
0.4%
Connector Punctuation 94
 
0.1%
Space Separator 84
 
0.1%
Other values (2) 37
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1509
 
2.9%
치 1437
 
2.8%
라 1065
 
2.0%
스 1028
 
2.0%
리 995
 
1.9%
대 775
 
1.5%
소 763
 
1.5%
주 704
 
1.3%
자 656
 
1.3%
기 645
 
1.2%
Other values (708) 42587
81.6%
Lowercase Letter
ValueCountFrequency (%)
g 477
26.6%
e 213
11.9%
l 210
11.7%
c 195
10.9%
a 153
 
8.5%
t 100
 
5.6%
o 89
 
5.0%
r 88
 
4.9%
m 59
 
3.3%
u 44
 
2.5%
Other values (14) 166
 
9.3%
Uppercase Letter
ValueCountFrequency (%)
I 348
13.3%
L 328
12.5%
C 302
11.5%
E 296
11.3%
O 267
10.2%
H 262
10.0%
T 251
9.6%
R 197
7.5%
D 112
 
4.3%
X 51
 
2.0%
Other values (14) 201
7.7%
Decimal Number
ValueCountFrequency (%)
0 852
32.6%
2 619
23.7%
1 520
19.9%
5 274
 
10.5%
3 148
 
5.7%
4 100
 
3.8%
8 43
 
1.6%
6 29
 
1.1%
7 27
 
1.0%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 817
85.5%
. 64
 
6.7%
& 45
 
4.7%
, 22
 
2.3%
! 4
 
0.4%
' 2
 
0.2%
· 1
 
0.1%
% 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4146
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4143
> 99.9%
] 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 213
85.9%
~ 35
 
14.1%
Connector Punctuation
ValueCountFrequency (%)
_ 94
100.0%
Space Separator
ValueCountFrequency (%)
84
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 52158
75.7%
Common 12326
 
17.9%
Latin 4409
 
6.4%
Han 6
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1509
 
2.9%
치 1437
 
2.8%
라 1065
 
2.0%
스 1028
 
2.0%
리 995
 
1.9%
대 775
 
1.5%
소 763
 
1.5%
주 704
 
1.3%
자 656
 
1.3%
기 645
 
1.2%
Other values (706) 42581
81.6%
Latin
ValueCountFrequency (%)
g 477
 
10.8%
I 348
 
7.9%
L 328
 
7.4%
C 302
 
6.8%
E 296
 
6.7%
O 267
 
6.1%
H 262
 
5.9%
T 251
 
5.7%
e 213
 
4.8%
l 210
 
4.8%
Other values (38) 1455
33.0%
Common
ValueCountFrequency (%)
( 4146
33.6%
) 4143
33.6%
0 852
 
6.9%
/ 817
 
6.6%
2 619
 
5.0%
1 520
 
4.2%
5 274
 
2.2%
+ 213
 
1.7%
3 148
 
1.2%
4 100
 
0.8%
Other values (18) 494
 
4.0%
Han
ValueCountFrequency (%)
中 3
50.0%
大 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 52158
75.7%
ASCII 16731
 
24.3%
CJK 6
 
< 0.1%
None 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 4146
24.8%
) 4143
24.8%
0 852
 
5.1%
/ 817
 
4.9%
2 619
 
3.7%
1 520
 
3.1%
g 477
 
2.9%
I 348
 
2.1%
L 328
 
2.0%
C 302
 
1.8%
Other values (63) 4179
25.0%
Hangul
ValueCountFrequency (%)
이 1509
 
2.9%
치 1437
 
2.8%
라 1065
 
2.0%
스 1028
 
2.0%
리 995
 
1.9%
대 775
 
1.5%
소 763
 
1.5%
주 704
 
1.3%
자 656
 
1.3%
기 645
 
1.2%
Other values (706) 42581
81.6%
CJK
ValueCountFrequency (%)
中 3
50.0%
大 3
50.0%
None
ValueCountFrequency (%)
é 2
66.7%
· 1
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

메뉴가격
Real number (ℝ)

ZEROS 

Distinct214
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12320.16
Minimum-3000
Maximum350000
Zeros112
Zeros (%)1.1%
Negative2
Negative (%)< 0.1%
Memory size166.0 KiB
2023-12-13T04:15:35.522377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-3000
5-th percentile1000
Q14000
median7000
Q317000
95-th percentile36905
Maximum350000
Range353000
Interquartile range (IQR)13000

Descriptive statistics

Standard deviation13863.716
Coefficient of variation (CV)1.1252871
Kurtosis63.671397
Mean12320.16
Median Absolute Deviation (MAD)4200
Skewness4.7056577
Sum1.232016 × 108
Variance1.9220263 × 108
MonotonicityNot monotonic
2023-12-13T04:15:35.762848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4000 878
 
8.8%
7000 519
 
5.2%
3000 473
 
4.7%
5000 400
 
4.0%
8000 380
 
3.8%
2000 373
 
3.7%
1000 324
 
3.2%
6000 321
 
3.2%
15000 317
 
3.2%
3500 311
 
3.1%
Other values (204) 5704
57.0%
ValueCountFrequency (%)
-3000 1
 
< 0.1%
-2000 1
 
< 0.1%
0 112
 
1.1%
100 7
 
0.1%
300 11
 
0.1%
400 1
 
< 0.1%
500 69
 
0.7%
700 8
 
0.1%
800 6
 
0.1%
1000 324
3.2%
ValueCountFrequency (%)
350000 1
 
< 0.1%
293896 1
 
< 0.1%
170000 1
 
< 0.1%
164000 1
 
< 0.1%
150000 3
< 0.1%
140000 1
 
< 0.1%
122000 1
 
< 0.1%
120000 2
< 0.1%
110000 1
 
< 0.1%
100000 3
< 0.1%

메뉴태그정보
Text

MISSING 

Distinct2931
Distinct (%)29.8%
Missing172
Missing (%)1.7%
Memory size156.2 KiB
2023-12-13T04:15:36.021488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length67
Median length54
Mean length23.805963
Min length6

Characters and Unicode

Total characters233965
Distinct characters451
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1601 ?
Unique (%)16.3%

Sample

1st row주재료 : 묵은지 / 소스 : 매운 / 옵션 : 돼지
2nd row주재료 : 닭고기 / 조리법 : 튀김 / 소스 : 양념
3rd row조리법 : 피자
4th row주재료 : 낙지,육회,해산물 / 조리법 : 회
5th row주재료 : 밥,공기밥
ValueCountFrequency (%)
29658
42.9%
주재료 9103
 
13.2%
조리법 6035
 
8.7%
소스 3318
 
4.8%
옵션 1327
 
1.9%
튀김 754
 
1.1%
피자 526
 
0.8%
매운 505
 
0.7%
볶음 479
 
0.7%
닭고기 478
 
0.7%
Other values (2182) 16961
24.5%
2023-12-13T04:15:36.546148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59316
25.4%
: 19743
 
8.4%
, 12697
 
5.4%
/ 9915
 
4.2%
주 9875
 
4.2%
료 9417
 
4.0%
재 9111
 
3.9%
리 6547
 
2.8%
조 6086
 
2.6%
법 6035
 
2.6%
Other values (441) 85223
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 132282
56.5%
Space Separator 59316
25.4%
Other Punctuation 42355
 
18.1%
Lowercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 9875
 
7.5%
료 9417
 
7.1%
재 9111
 
6.9%
리 6547
 
4.9%
조 6086
 
4.6%
법 6035
 
4.6%
소 5010
 
3.8%
스 4466
 
3.4%
고 4116
 
3.1%
기 3496
 
2.6%
Other values (435) 68123
51.5%
Other Punctuation
ValueCountFrequency (%)
: 19743
46.6%
, 12697
30.0%
/ 9915
23.4%
Lowercase Letter
ValueCountFrequency (%)
l 6
50.0%
a 6
50.0%
Space Separator
ValueCountFrequency (%)
59316
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 132282
56.5%
Common 101671
43.5%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 9875
 
7.5%
료 9417
 
7.1%
재 9111
 
6.9%
리 6547
 
4.9%
조 6086
 
4.6%
법 6035
 
4.6%
소 5010
 
3.8%
스 4466
 
3.4%
고 4116
 
3.1%
기 3496
 
2.6%
Other values (435) 68123
51.5%
Common
ValueCountFrequency (%)
59316
58.3%
: 19743
 
19.4%
, 12697
 
12.5%
/ 9915
 
9.8%
Latin
ValueCountFrequency (%)
l 6
50.0%
a 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 132282
56.5%
ASCII 101683
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59316
58.3%
: 19743
 
19.4%
, 12697
 
12.5%
/ 9915
 
9.8%
l 6
 
< 0.1%
a 6
 
< 0.1%
Hangul
ValueCountFrequency (%)
주 9875
 
7.5%
료 9417
 
7.1%
재 9111
 
6.9%
리 6547
 
4.9%
조 6086
 
4.6%
법 6035
 
4.6%
소 5010
 
3.8%
스 4466
 
3.4%
고 4116
 
3.1%
기 3496
 
2.6%
Other values (435) 68123
51.5%

메뉴명-로마자
Text

Distinct6239
Distinct (%)62.4%
Missing6
Missing (%)0.1%
Memory size156.2 KiB
2023-12-13T04:15:36.970997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length16.802281
Min length1

Characters and Unicode

Total characters167922
Distinct characters80
Distinct categories11 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5196 ?
Unique (%)52.0%

Sample

1st rowMugeunji Dwaeji
2nd rowSunsal Yangnyeom Chicken
3rd rowJeongwon Chogwa (L)
4th rowSannak Yukhoe
5th rowGonggibap
ValueCountFrequency (%)
chicken 531
 
2.3%
l 475
 
2.0%
m 396
 
1.7%
cheese 383
 
1.6%
hot 349
 
1.5%
latte 330
 
1.4%
pizza 285
 
1.2%
ice 246
 
1.1%
sunsal 234
 
1.0%
soju 217
 
0.9%
Other values (2919) 19972
85.3%
2023-12-13T04:15:37.571118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 15298
 
9.1%
13427
 
8.0%
e 13074
 
7.8%
n 11248
 
6.7%
o 10079
 
6.0%
g 8087
 
4.8%
i 7850
 
4.7%
u 7716
 
4.6%
k 5054
 
3.0%
m 4589
 
2.7%
Other values (70) 71500
42.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 117936
70.2%
Uppercase Letter 24284
 
14.5%
Space Separator 13427
 
8.0%
Open Punctuation 4142
 
2.5%
Close Punctuation 4120
 
2.5%
Decimal Number 2608
 
1.6%
Other Punctuation 958
 
0.6%
Math Symbol 247
 
0.1%
Dash Punctuation 105
 
0.1%
Connector Punctuation 94
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 15298
13.0%
e 13074
11.1%
n 11248
 
9.5%
o 10079
 
8.5%
g 8087
 
6.9%
i 7850
 
6.7%
u 7716
 
6.5%
k 5054
 
4.3%
m 4589
 
3.9%
l 4494
 
3.8%
Other values (17) 30447
25.8%
Uppercase Letter
ValueCountFrequency (%)
C 3017
12.4%
S 2797
11.5%
M 2051
 
8.4%
B 2000
 
8.2%
G 1746
 
7.2%
T 1442
 
5.9%
J 1337
 
5.5%
H 1313
 
5.4%
L 1282
 
5.3%
D 1198
 
4.9%
Other values (15) 6101
25.1%
Decimal Number
ValueCountFrequency (%)
0 852
32.7%
2 617
23.7%
1 516
19.8%
5 274
 
10.5%
3 148
 
5.7%
4 100
 
3.8%
8 43
 
1.6%
6 29
 
1.1%
7 27
 
1.0%
9 2
 
0.1%
Other Punctuation
ValueCountFrequency (%)
/ 817
85.3%
. 64
 
6.7%
& 45
 
4.7%
, 22
 
2.3%
! 4
 
0.4%
' 4
 
0.4%
· 1
 
0.1%
% 1
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 4140
> 99.9%
[ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 4118
> 99.9%
] 2
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
+ 212
85.8%
~ 35
 
14.2%
Space Separator
ValueCountFrequency (%)
13427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 105
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 94
100.0%
Other Number
ValueCountFrequency (%)
② 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 142220
84.7%
Common 25702
 
15.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 15298
 
10.8%
e 13074
 
9.2%
n 11248
 
7.9%
o 10079
 
7.1%
g 8087
 
5.7%
i 7850
 
5.5%
u 7716
 
5.4%
k 5054
 
3.6%
m 4589
 
3.2%
l 4494
 
3.2%
Other values (42) 54731
38.5%
Common
ValueCountFrequency (%)
13427
52.2%
( 4140
 
16.1%
) 4118
 
16.0%
0 852
 
3.3%
/ 817
 
3.2%
2 617
 
2.4%
1 516
 
2.0%
5 274
 
1.1%
+ 212
 
0.8%
3 148
 
0.6%
Other values (18) 581
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 167918
> 99.9%
None 3
 
< 0.1%
Enclosed Alphanum 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 15298
 
9.1%
13427
 
8.0%
e 13074
 
7.8%
n 11248
 
6.7%
o 10079
 
6.0%
g 8087
 
4.8%
i 7850
 
4.7%
u 7716
 
4.6%
k 5054
 
3.0%
m 4589
 
2.7%
Other values (67) 71496
42.6%
None
ValueCountFrequency (%)
é 2
66.7%
· 1
33.3%
Enclosed Alphanum
ValueCountFrequency (%)
② 1
100.0%

메뉴태그-영어
Text

MISSING 

Distinct2887
Distinct (%)29.5%
Missing208
Missing (%)2.1%
Memory size156.2 KiB
2023-12-13T04:15:37.885848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length182
Median length120
Mean length52.757047
Min length9

Characters and Unicode

Total characters516597
Distinct characters56
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

Unique1565 ?
Unique (%)16.0%

Sample

1st rowIngredient : RipeKimchi / Sauce : Spicy / Etc : WholePig
2nd rowIngredient : Chicken / Cooking : Deep-friedPlatter / Sauce : Marinated
3rd rowCooking : Pizza
4th rowIngredient : Octopus,BeefTartare,Seafood / Cooking : SlicedRawFish
5th rowIngredient : SteamedRice,SteamedRice
ValueCountFrequency (%)
29598
42.5%
ingredient 9057
 
13.0%
cooking 6033
 
8.7%
sauce 3328
 
4.8%
etc 1327
 
1.9%
deep-friedplatter 754
 
1.1%
chicken 570
 
0.8%
pizza 526
 
0.8%
spicy 519
 
0.7%
stir-fry 479
 
0.7%
Other values (2119) 17438
25.0%
2023-12-13T04:15:38.440705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 61211
 
11.8%
59837
 
11.6%
i 31789
 
6.2%
n 31021
 
6.0%
o 28774
 
5.6%
r 24872
 
4.8%
t 23945
 
4.6%
a 21035
 
4.1%
g 20017
 
3.9%
: 19695
 
3.8%
Other values (46) 194401
37.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 348276
67.4%
Uppercase Letter 64270
 
12.4%
Space Separator 59837
 
11.6%
Other Punctuation 42327
 
8.2%
Dash Punctuation 1887
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 61211
17.6%
i 31789
9.1%
n 31021
8.9%
o 28774
 
8.3%
r 24872
 
7.1%
t 23945
 
6.9%
a 21035
 
6.0%
g 20017
 
5.7%
d 17436
 
5.0%
c 12121
 
3.5%
Other values (16) 76055
21.8%
Uppercase Letter
ValueCountFrequency (%)
S 12090
18.8%
C 11795
18.4%
I 9460
14.7%
P 5354
8.3%
B 3785
 
5.9%
F 2803
 
4.4%
M 2585
 
4.0%
V 2384
 
3.7%
R 2034
 
3.2%
E 1984
 
3.1%
Other values (14) 9996
15.6%
Other Punctuation
ValueCountFrequency (%)
: 19695
46.5%
, 12567
29.7%
/ 9903
23.4%
' 162
 
0.4%
Space Separator
ValueCountFrequency (%)
59837
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1887
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 412546
79.9%
Common 104051
 
20.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 61211
14.8%
i 31789
 
7.7%
n 31021
 
7.5%
o 28774
 
7.0%
r 24872
 
6.0%
t 23945
 
5.8%
a 21035
 
5.1%
g 20017
 
4.9%
d 17436
 
4.2%
c 12121
 
2.9%
Other values (40) 140325
34.0%
Common
ValueCountFrequency (%)
59837
57.5%
: 19695
 
18.9%
, 12567
 
12.1%
/ 9903
 
9.5%
- 1887
 
1.8%
' 162
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516597
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 61211
 
11.8%
59837
 
11.6%
i 31789
 
6.2%
n 31021
 
6.0%
o 28774
 
5.6%
r 24872
 
4.8%
t 23945
 
4.6%
a 21035
 
4.1%
g 20017
 
3.9%
: 19695
 
3.8%
Other values (46) 194401
37.6%

메뉴태그-일본어
Text

MISSING 

Distinct2868
Distinct (%)29.3%
Missing212
Missing (%)2.1%
Memory size156.2 KiB
2023-12-13T04:15:38.754719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length61
Mean length25.854414
Min length7

Characters and Unicode

Total characters253063
Distinct characters404
Distinct categories7 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1556 ?
Unique (%)15.9%

Sample

1st row主食材 : 熟成キムチ / ソース : 辛口 / そのた : 豚
2nd row主食材 : 鶏肉 / 調理法 : 天ぷら / ソース : 味付け
3rd row調理法 : ピザ
4th row主食材 : タコ,ユッケ,海鮮 / 調理法 : 刺身
5th row主食材 : ご飯
ValueCountFrequency (%)
29366
42.9%
主食材 8960
 
13.1%
調理法 6031
 
8.8%
ソース 3299
 
4.8%
そのた 1327
 
1.9%
天ぷら 754
 
1.1%
ピザ 526
 
0.8%
辛口 505
 
0.7%
鶏肉 504
 
0.7%
炒め 479
 
0.7%
Other values (2086) 16769
24.5%
2023-12-13T04:15:39.297948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58732
23.2%
: 19577
 
7.7%
, 12228
 
4.8%
/ 9789
 
3.9%
食 9042
 
3.6%
主 8960
 
3.5%
材 8960
 
3.5%
ー 8665
 
3.4%
理 6037
 
2.4%
法 6031
 
2.4%
Other values (394) 105042
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 143921
56.9%
Space Separator 58732
23.2%
Other Punctuation 41594
 
16.4%
Modifier Letter 8720
 
3.4%
Close Punctuation 42
 
< 0.1%
Open Punctuation 42
 
< 0.1%
Uppercase Letter 12
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
食 9042
 
6.3%
主 8960
 
6.2%
材 8960
 
6.2%
理 6037
 
4.2%
法 6031
 
4.2%
調 6031
 
4.2%
ス 4994
 
3.5%
ソ 4235
 
2.9%
肉 3211
 
2.2%
チ 3067
 
2.1%
Other values (384) 83353
57.9%
Other Punctuation
ValueCountFrequency (%)
: 19577
47.1%
, 12228
29.4%
/ 9789
23.5%
Modifier Letter
ValueCountFrequency (%)
ー 8665
99.4%
々 55
 
0.6%
Uppercase Letter
ValueCountFrequency (%)
L 6
50.0%
A 6
50.0%
Space Separator
ValueCountFrequency (%)
58732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 42
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 109075
43.1%
Han 82087
32.4%
Katakana 44901
17.7%
Hiragana 16988
 
6.7%
Latin 12
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
食 9042
 
11.0%
主 8960
 
10.9%
材 8960
 
10.9%
理 6037
 
7.4%
法 6031
 
7.3%
調 6031
 
7.3%
肉 3211
 
3.9%
菜 2250
 
2.7%
野 2195
 
2.7%
辛 1260
 
1.5%
Other values (251) 28110
34.2%
Katakana
ValueCountFrequency (%)
ス 4994
 
11.1%
ソ 4235
 
9.4%
チ 3067
 
6.8%
ン 2484
 
5.5%
ッ 1842
 
4.1%
コ 1658
 
3.7%
ト 1508
 
3.4%
ル 1318
 
2.9%
プ 1310
 
2.9%
レ 1158
 
2.6%
Other values (67) 21327
47.5%
Hiragana
ValueCountFrequency (%)
の 1962
 
11.5%
お 1529
 
9.0%
た 1409
 
8.3%
そ 1394
 
8.2%
ら 866
 
5.1%
ぷ 864
 
5.1%
き 829
 
4.9%
ご 653
 
3.8%
め 603
 
3.5%
い 571
 
3.4%
Other values (47) 6308
37.1%
Common
ValueCountFrequency (%)
58732
53.8%
: 19577
 
17.9%
, 12228
 
11.2%
/ 9789
 
9.0%
ー 8665
 
7.9%
) 42
 
< 0.1%
（ 42
 
< 0.1%
Latin
ValueCountFrequency (%)
L 6
50.0%
A 6
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 100380
39.7%
CJK 82032
32.4%
Katakana 53566
21.2%
Hiragana 16988
 
6.7%
None 97
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58732
58.5%
: 19577
 
19.5%
, 12228
 
12.2%
/ 9789
 
9.8%
) 42
 
< 0.1%
L 6
 
< 0.1%
A 6
 
< 0.1%
CJK
ValueCountFrequency (%)
食 9042
 
11.0%
主 8960
 
10.9%
材 8960
 
10.9%
理 6037
 
7.4%
法 6031
 
7.4%
調 6031
 
7.4%
肉 3211
 
3.9%
菜 2250
 
2.7%
野 2195
 
2.7%
辛 1260
 
1.5%
Other values (250) 28055
34.2%
Katakana
ValueCountFrequency (%)
ー 8665
 
16.2%
ス 4994
 
9.3%
ソ 4235
 
7.9%
チ 3067
 
5.7%
ン 2484
 
4.6%
ッ 1842
 
3.4%
コ 1658
 
3.1%
ト 1508
 
2.8%
ル 1318
 
2.5%
プ 1310
 
2.4%
Other values (68) 22485
42.0%
Hiragana
ValueCountFrequency (%)
の 1962
 
11.5%
お 1529
 
9.0%
た 1409
 
8.3%
そ 1394
 
8.2%
ら 866
 
5.1%
ぷ 864
 
5.1%
き 829
 
4.9%
ご 653
 
3.8%
め 603
 
3.5%
い 571
 
3.4%
Other values (47) 6308
37.1%
None
ValueCountFrequency (%)
々 55
56.7%
（ 42
43.3%

메뉴태그-중국어(간체)
Text

MISSING 

Distinct2865
Distinct (%)29.3%
Missing212
Missing (%)2.1%
Memory size156.2 KiB
2023-12-13T04:15:39.589372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length54
Mean length22.426849
Min length6

Characters and Unicode

Total characters219514
Distinct characters557
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1554 ?
Unique (%)15.9%

Sample

1st row主料 : 酸泡菜 / 调味汁 : 辣味 / 其他 : 猪
2nd row主料 : 鸡肉 / 烹饪法 : 炸什锦 / 调味汁 : 调味
3rd row烹饪法 : 比萨
4th row主料 : 小章鱼,生拌牛肉,海鲜 / 烹饪法 : 生鱼片
5th row主料 : 米饭
ValueCountFrequency (%)
29366
42.9%
主料 8960
 
13.1%
烹饪法 6031
 
8.8%
调味汁 3276
 
4.8%
其他 1327
 
1.9%
炸什锦 754
 
1.1%
比萨 526
 
0.8%
辣味 505
 
0.7%
鸡肉 504
 
0.7%
炒菜 479
 
0.7%
Other values (2082) 16792
24.5%
2023-12-13T04:15:40.114617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
58732
26.8%
: 19577
 
8.9%
, 12228
 
5.6%
/ 9789
 
4.5%
料 9364
 
4.3%
主 8960
 
4.1%
烹 6037
 
2.8%
法 6036
 
2.7%
饪 6031
 
2.7%
味 4454
 
2.0%
Other values (547) 78306
35.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 119129
54.3%
Space Separator 58732
26.8%
Other Punctuation 41594
 
18.9%
Uppercase Letter 55
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
料 9364
 
7.9%
主 8960
 
7.5%
烹 6037
 
5.1%
法 6036
 
5.1%
饪 6031
 
5.1%
味 4454
 
3.7%
汁 3628
 
3.0%
调 3613
 
3.0%
菜 3547
 
3.0%
肉 3462
 
2.9%
Other values (534) 63997
53.7%
Uppercase Letter
ValueCountFrequency (%)
B 28
50.9%
Q 14
25.5%
A 6
 
10.9%
L 6
 
10.9%
P 1
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
e 1
25.0%
m 1
25.0%
i 1
25.0%
r 1
25.0%
Other Punctuation
ValueCountFrequency (%)
: 19577
47.1%
, 12228
29.4%
/ 9789
23.5%
Space Separator
ValueCountFrequency (%)
58732
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 119129
54.3%
Common 100326
45.7%
Latin 59
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
料 9364
 
7.9%
主 8960
 
7.5%
烹 6037
 
5.1%
法 6036
 
5.1%
饪 6031
 
5.1%
味 4454
 
3.7%
汁 3628
 
3.0%
调 3613
 
3.0%
菜 3547
 
3.0%
肉 3462
 
2.9%
Other values (534) 63997
53.7%
Latin
ValueCountFrequency (%)
B 28
47.5%
Q 14
23.7%
A 6
 
10.2%
L 6
 
10.2%
e 1
 
1.7%
m 1
 
1.7%
i 1
 
1.7%
r 1
 
1.7%
P 1
 
1.7%
Common
ValueCountFrequency (%)
58732
58.5%
: 19577
 
19.5%
, 12228
 
12.2%
/ 9789
 
9.8%

Most occurring blocks

ValueCountFrequency (%)
CJK 119128
54.3%
ASCII 100385
45.7%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
58732
58.5%
: 19577
 
19.5%
, 12228
 
12.2%
/ 9789
 
9.8%
B 28
 
< 0.1%
Q 14
 
< 0.1%
A 6
 
< 0.1%
L 6
 
< 0.1%
e 1
 
< 0.1%
m 1
 
< 0.1%
Other values (3) 3
 
< 0.1%
CJK
ValueCountFrequency (%)
料 9364
 
7.9%
主 8960
 
7.5%
烹 6037
 
5.1%
法 6036
 
5.1%
饪 6031
 
5.1%
味 4454
 
3.7%
汁 3628
 
3.0%
调 3613
 
3.0%
菜 3547
 
3.0%
肉 3462
 
2.9%
Other values (533) 63996
53.7%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

Interactions

2023-12-13T04:15:31.435370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:30.730926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:31.078312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:31.567703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:30.828444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:31.193231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:31.696555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:30.964781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:15:31.306432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:15:40.252068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당ID메뉴ID메뉴가격
식당ID1.0000.3860.097
메뉴ID0.3861.0000.011
메뉴가격0.0970.0111.000
2023-12-13T04:15:40.380896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
식당ID메뉴ID메뉴가격
식당ID1.0000.144-0.007
메뉴ID0.1441.000-0.034
메뉴가격-0.007-0.0341.000

Missing values

2023-12-13T04:15:31.866345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:15:32.072685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T04:15:32.279272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

식당ID식당명메뉴ID메뉴명메뉴가격메뉴태그정보메뉴명-로마자메뉴태그-영어메뉴태그-일본어메뉴태그-중국어(간체)
10047369072골목식당86643묵은지돼지15000주재료 : 묵은지 / 소스 : 매운 / 옵션 : 돼지Mugeunji DwaejiIngredient : RipeKimchi / Sauce : Spicy / Etc : WholePig主食材 : 熟成キムチ / ソース : 辛口 / そのた : 豚主料 : 酸泡菜 / 调味汁 : 辣味 / 其他 : 猪
1087585764페리카나 사창리점26534순살양념치킨17000주재료 : 닭고기 / 조리법 : 튀김 / 소스 : 양념Sunsal Yangnyeom ChickenIngredient : Chicken / Cooking : Deep-friedPlatter / Sauce : Marinated主食材 : 鶏肉 / 調理法 : 天ぷら / ソース : 味付け主料 : 鸡肉 / 烹饪法 : 炸什锦 / 调味汁 : 调味
8119862040유로코피자33882정원초과(대)29900조리법 : 피자Jeongwon Chogwa (L)Cooking : Pizza調理法 : ピザ烹饪法 : 比萨
12441861941육회본가296923산낙육회25000주재료 : 낙지,육회,해산물 / 조리법 : 회Sannak YukhoeIngredient : Octopus,BeefTartare,Seafood / Cooking : SlicedRawFish主食材 : タコ,ユッケ,海鮮 / 調理法 : 刺身主料 : 小章鱼,生拌牛肉,海鲜 / 烹饪法 : 生鱼片
7069302805빨간낙지32825공기밥1000주재료 : 밥,공기밥GonggibapIngredient : SteamedRice,SteamedRice主食材 : ご飯主料 : 米饭
4023477929빽다방 화천사내면점29649미숫가루(ICED)2500주재료 : 미숫가루Misutgaru (ICED)Ingredient : Roasted Grain Power主食材 : ミスッカル主料 : 油茶面
7283691076신마포갈매기II화천점33044누룽지3500주재료 : 누룽지NurungjiIngredient : ScorchedRice主食材 : おこげ主料 : 锅巴
11256861999킹콩쥬스앤커피90564파인애플(대)4300주재료 : 과일,파인애플Pienapple (L)Ingredient : Fruit,Pineapple主食材 : 果物,パイナップル主料 : 水果,菠萝
94956958879스트리트84097생맥주1,700cc12000주재료 : 생맥주 / 조리법 : 치킨 / 옵션 : 세트Saengmaekju 1,700ccIngredient : DraftBeer / Cooking : FriedChicken / Etc : Set主食材 : 生ビール / 調理法 : チキン / そのた : セット主料 : 扎啤 / 烹饪法 : 炸鸡 / 其他 : 套餐
53951657티바두마리치킨 화천산양점31118후라이드15500주재료 : 닭고기,밀가루 / 조리법 : 튀김FriedIngredient : Chicken,Flour / Cooking : Deep-friedPlatter主食材 : 鶏肉,小麦粉 / 調理法 : 天ぷら主料 : 鸡肉,面粉 / 烹饪法 : 炸什锦
식당ID식당명메뉴ID메뉴명메뉴가격메뉴태그정보메뉴명-로마자메뉴태그-영어메뉴태그-일본어메뉴태그-중국어(간체)
8265401415또래오래 치킨피자 화천점34029피클추가500주재료 : 오이 / 옵션 : 추가Pickle ChugaIngredient : Cucumber / Etc : Add主食材 : キュウリ / そのた : 追加主料 : 黄瓜 / 其他 : 追加
9676245605만복이네삼겹살85527복분자12000주재료 : 복분자 / 소스 : 술BokbunjaIngredient : BlackRaspberry / Sauce : Liquor主食材 : 覆盆子酒（木イチゴ酒) / ソース : お酒主料 : 覆盆子 / 调味汁 : 酒
3566306741야미야미분식29127중국당면떢볶이5000주재료 : 당면Jungguk Dangmyeon TteokbokkiIngredient : GlassNoodles主食材 : 春雨主料 : 粉条
11055861955앨리스90363레몬에이드5000주재료 : 레몬,탄산수 / 조리법 : 에이드Lemon AdeIngredient : Lemon,Sparkling Water / Cooking : Ade主食材 : レモン,炭酸水 / 調理法 : エード主料 : 柠檬,碳酸水 / 烹饪法 : 汽水
7718661663놀부부대찌개 강원화천점33481쫄깃한쭈곱새_기본맛(1인)12000주재료 : 새우,곱창Jjolgitan Jjugopsae_ Gibon Mat (1in)Ingredient : Shrimp,Tripe主食材 : 海老,コプチャン主料 : 虾,肥肠
4936281006산마을가든30566잔치국수(겨울)5000주재료 : 면,밀가루 / 조리법 : 잔치국수 / 소스 : 멸치육수Janchi Guksu (Gyeoul)Ingredient : Noodles,Flour / Cooking : BanquetNoodles / Sauce : AnchovyBroth主食材 : 麺,小麦粉 / 調理法 : にゅうめん / ソース : 煮干しだし主料 : 面条,面粉 / 烹饪法 : 喜面 / 调味汁 : 鳀鱼汤
6190714264BHC치킨 화천간동점31941콜팝2500주재료 : 치킨볼,콜라KolpapIngredient : ChickenBall主食材 : チキンボール主料 : 鸡丸
7125280594귀빈숯불갈비32881소불고기(200g)12000주재료 : 버섯,소고기 / 조리법 : 불고기 / 소스 : 간장Sobulgogi (200g)Ingredient : Mushrooms,Beef / Cooking : Bulgogi / Sauce : SoySauce主食材 : きのこ,牛肉 / 調理法 : プルコギ / ソース : 醤油主料 : 蘑菇,牛肉 / 烹饪法 : 烤牛肉 / 调味汁 : 酱油
7895581446감탄떡볶이 화천점33658모둠어묵1000주재료 : 야채,면,밀가루,모둠어묵 / 조리법 : 국수 / 소스 : 육수 / 옵션 : 프리미엄Modum EomukIngredient : Vegetables,Noodles,Flour,AssortedFishCakes / Cooking : Noodles / Sauce : Broth / Etc : Premium主食材 : 野菜,麺,小麦粉,練り物の盛り合わせ / 調理法 : 素麺 / ソース : 出汁 / そのた : プレミアム主料 : 蔬菜,面条,面粉,什锦鱼糕 / 烹饪法 : 面条 / 调味汁 : 高汤 / 其他 : 顶级
3587862087윤나리식당29148옻오리70000주재료 : 오리고기,옻OchoriIngredient : Duck,Lacquer主食材 : 鴨肉,漆主料 : 鸭肉,漆木