Overview

Dataset statistics

Number of variables24
Number of observations10000
Missing cells47857
Missing cells (%)19.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory209.0 B

Variable types

Categorical6
Text11
Numeric7

Dataset

DescriptionSample
Author주식회사 여기어때컴퍼니
URLhttps://www.bigdata-finance.kr/dataset/datasetView.do?datastId=SET0400001

Alerts

기준년월 has constant value ""Constant
대상기준년월 has constant value ""Constant
지점명 has 7295 (73.0%) missing valuesMissing
대표전화번호 has 264 (2.6%) missing valuesMissing
식당영업시간값 has 1788 (17.9%) missing valuesMissing
휴식시간내용 has 8810 (88.1%) missing valuesMissing
최종주문가능시간값 has 8289 (82.9%) missing valuesMissing
식당휴일내용 has 7559 (75.6%) missing valuesMissing
메인메뉴내용 has 6968 (69.7%) missing valuesMissing
식당평점값 has 6884 (68.8%) missing valuesMissing
식당ID has unique valuesUnique

Reproduction

Analysis started2024-04-18 03:15:38.801364
Analysis finished2024-04-18 03:15:40.597105
Duration1.8 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 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

2024-04-18T12:15:40.645987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:15:40.714667image/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 size156.2 KiB
2024-04-18T12:15:40.888879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.0824
Min length10

Characters and Unicode

Total characters110824
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 rowdJOWM-gvkL
2nd rowUwF7yKaMvabw
3rd rownVaJjydcbC3U
4th row0aLZRXDc9S-y
5th rowyDxyOs463j
ValueCountFrequency (%)
djowm-gvkl 1
 
< 0.1%
co_h796vv0 1
 
< 0.1%
xedto79v6h0k 1
 
< 0.1%
ajysxlcsge_p 1
 
< 0.1%
rmyidnclckm1 1
 
< 0.1%
ajzn8ogvpj 1
 
< 0.1%
bpffjwlynmej 1
 
< 0.1%
b6p9tfk--z 1
 
< 0.1%
5a3kvhd4vh 1
 
< 0.1%
9mrn7wegye5x 1
 
< 0.1%
Other values (9990) 9990
99.9%
2024-04-18T12:15:41.209188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
H 1827
 
1.6%
a 1802
 
1.6%
2 1799
 
1.6%
x 1794
 
1.6%
L 1793
 
1.6%
7 1789
 
1.6%
R 1789
 
1.6%
r 1787
 
1.6%
- 1776
 
1.6%
Z 1774
 
1.6%
Other values (54) 92894
83.8%

Most occurring categories

ValueCountFrequency (%)
Uppercase Letter 45006
40.6%
Lowercase Letter 44863
40.5%
Decimal Number 17473
 
15.8%
Dash Punctuation 1776
 
1.6%
Connector Punctuation 1706
 
1.5%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
H 1827
 
4.1%
L 1793
 
4.0%
R 1789
 
4.0%
Z 1774
 
3.9%
S 1766
 
3.9%
X 1762
 
3.9%
O 1762
 
3.9%
B 1746
 
3.9%
D 1743
 
3.9%
A 1742
 
3.9%
Other values (16) 27302
60.7%
Lowercase Letter
ValueCountFrequency (%)
a 1802
 
4.0%
x 1794
 
4.0%
r 1787
 
4.0%
e 1766
 
3.9%
v 1763
 
3.9%
w 1763
 
3.9%
d 1758
 
3.9%
f 1737
 
3.9%
o 1737
 
3.9%
p 1735
 
3.9%
Other values (16) 27221
60.7%
Decimal Number
ValueCountFrequency (%)
2 1799
10.3%
7 1789
10.2%
4 1774
10.2%
0 1770
10.1%
1 1747
10.0%
6 1746
10.0%
5 1738
9.9%
3 1733
9.9%
9 1704
9.8%
8 1673
9.6%
Dash Punctuation
ValueCountFrequency (%)
- 1776
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1706
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 89869
81.1%
Common 20955
 
18.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
H 1827
 
2.0%
a 1802
 
2.0%
x 1794
 
2.0%
L 1793
 
2.0%
R 1789
 
2.0%
r 1787
 
2.0%
Z 1774
 
2.0%
S 1766
 
2.0%
e 1766
 
2.0%
v 1763
 
2.0%
Other values (42) 72008
80.1%
Common
ValueCountFrequency (%)
2 1799
8.6%
7 1789
8.5%
- 1776
8.5%
4 1774
8.5%
0 1770
8.4%
1 1747
8.3%
6 1746
8.3%
5 1738
8.3%
3 1733
8.3%
_ 1706
8.1%
Other values (2) 3377
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110824
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
H 1827
 
1.6%
a 1802
 
1.6%
2 1799
 
1.6%
x 1794
 
1.6%
L 1793
 
1.6%
7 1789
 
1.6%
R 1789
 
1.6%
r 1787
 
1.6%
- 1776
 
1.6%
Z 1774
 
1.6%
Other values (54) 92894
83.8%

식당명
Text

Distinct8760
Distinct (%)87.6%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:15:41.471887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length20
Mean length4.8292
Min length1

Characters and Unicode

Total characters48292
Distinct characters1108
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8096 ?
Unique (%)81.0%

Sample

1st row팔선생
2nd row바당국수
3rd row포로이
4th row구워삶다
5th row히메시야
ValueCountFrequency (%)
카페 43
 
0.4%
봉추찜닭 23
 
0.2%
스타벅스 21
 
0.2%
깐부치킨 16
 
0.2%
아비꼬 14
 
0.1%
설빙 14
 
0.1%
동대문엽기떡볶이 14
 
0.1%
홍콩반점0410 13
 
0.1%
아웃백스테이크하우스 12
 
0.1%
하남돼지집 12
 
0.1%
Other values (9025) 10266
98.3%
2024-04-18T12:15:41.848865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 1344
 
2.8%
스 1297
 
2.7%
리 924
 
1.9%
라 567
 
1.2%
카 531
 
1.1%
수 527
 
1.1%
마 499
 
1.0%
집 482
 
1.0%
피 481
 
1.0%
국 480
 
1.0%
Other values (1098) 41160
85.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46215
95.7%
Decimal Number 782
 
1.6%
Space Separator 459
 
1.0%
Lowercase Letter 439
 
0.9%
Uppercase Letter 364
 
0.8%
Other Punctuation 14
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Open Punctuation 7
 
< 0.1%
Dash Punctuation 3
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 1344
 
2.9%
스 1297
 
2.8%
리 924
 
2.0%
라 567
 
1.2%
카 531
 
1.1%
수 527
 
1.1%
마 499
 
1.1%
집 482
 
1.0%
피 481
 
1.0%
국 480
 
1.0%
Other values (1026) 39083
84.6%
Lowercase Letter
ValueCountFrequency (%)
e 72
16.4%
o 47
10.7%
a 37
 
8.4%
t 31
 
7.1%
r 30
 
6.8%
n 27
 
6.2%
f 25
 
5.7%
s 25
 
5.7%
u 22
 
5.0%
i 21
 
4.8%
Other values (16) 102
23.2%
Uppercase Letter
ValueCountFrequency (%)
B 38
 
10.4%
C 29
 
8.0%
A 28
 
7.7%
T 27
 
7.4%
E 24
 
6.6%
P 23
 
6.3%
L 21
 
5.8%
O 20
 
5.5%
S 20
 
5.5%
H 16
 
4.4%
Other values (16) 118
32.4%
Decimal Number
ValueCountFrequency (%)
1 160
20.5%
0 108
13.8%
9 83
10.6%
3 76
9.7%
2 76
9.7%
4 68
8.7%
5 68
8.7%
8 56
 
7.2%
7 50
 
6.4%
6 37
 
4.7%
Other Punctuation
ValueCountFrequency (%)
& 9
64.3%
, 3
 
21.4%
! 1
 
7.1%
: 1
 
7.1%
Space Separator
ValueCountFrequency (%)
459
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46215
95.7%
Common 1274
 
2.6%
Latin 803
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 1344
 
2.9%
스 1297
 
2.8%
리 924
 
2.0%
라 567
 
1.2%
카 531
 
1.1%
수 527
 
1.1%
마 499
 
1.1%
집 482
 
1.0%
피 481
 
1.0%
국 480
 
1.0%
Other values (1026) 39083
84.6%
Latin
ValueCountFrequency (%)
e 72
 
9.0%
o 47
 
5.9%
B 38
 
4.7%
a 37
 
4.6%
t 31
 
3.9%
r 30
 
3.7%
C 29
 
3.6%
A 28
 
3.5%
T 27
 
3.4%
n 27
 
3.4%
Other values (42) 437
54.4%
Common
ValueCountFrequency (%)
459
36.0%
1 160
 
12.6%
0 108
 
8.5%
9 83
 
6.5%
3 76
 
6.0%
2 76
 
6.0%
4 68
 
5.3%
5 68
 
5.3%
8 56
 
4.4%
7 50
 
3.9%
Other values (10) 70
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46213
95.7%
ASCII 2076
 
4.3%
Compat Jamo 2
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 1344
 
2.9%
스 1297
 
2.8%
리 924
 
2.0%
라 567
 
1.2%
카 531
 
1.1%
수 527
 
1.1%
마 499
 
1.1%
집 482
 
1.0%
피 481
 
1.0%
국 480
 
1.0%
Other values (1025) 39081
84.6%
ASCII
ValueCountFrequency (%)
459
22.1%
1 160
 
7.7%
0 108
 
5.2%
9 83
 
4.0%
3 76
 
3.7%
2 76
 
3.7%
e 72
 
3.5%
4 68
 
3.3%
5 68
 
3.3%
8 56
 
2.7%
Other values (61) 850
40.9%
Compat Jamo
ValueCountFrequency (%)
ㅋ 2
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
100.0%

지점명
Text

MISSING 

Distinct1255
Distinct (%)46.4%
Missing7295
Missing (%)73.0%
Memory size156.2 KiB
2024-04-18T12:15:42.082769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length4.5208872
Min length2

Characters and Unicode

Total characters12229
Distinct characters423
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

Unique856 ?
Unique (%)31.6%

Sample

1st row합정점
2nd row판교테크노밸리점
3rd row신촌점
4th row정자동점
5th row동탄메타폴리스점
ValueCountFrequency (%)
본점 172
 
5.8%
현대백화점 43
 
1.5%
홍대점 37
 
1.2%
신촌점 36
 
1.2%
강남점 35
 
1.2%
2호점 28
 
0.9%
역삼점 28
 
0.9%
신세계백화점 23
 
0.8%
청담점 22
 
0.7%
1호점 19
 
0.6%
Other values (1249) 2521
85.1%
2024-04-18T12:15:42.432347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 2667
 
21.8%
대 431
 
3.5%
본 290
 
2.4%
259
 
2.1%
역 244
 
2.0%
신 208
 
1.7%
산 172
 
1.4%
동 169
 
1.4%
화 155
 
1.3%
서 155
 
1.3%
Other values (413) 7479
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11644
95.2%
Space Separator 259
 
2.1%
Uppercase Letter 171
 
1.4%
Decimal Number 150
 
1.2%
Lowercase Letter 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 2667
 
22.9%
대 431
 
3.7%
본 290
 
2.5%
역 244
 
2.1%
신 208
 
1.8%
산 172
 
1.5%
동 169
 
1.5%
화 155
 
1.3%
서 155
 
1.3%
남 150
 
1.3%
Other values (378) 7003
60.1%
Uppercase Letter
ValueCountFrequency (%)
C 37
21.6%
F 19
11.1%
A 13
 
7.6%
I 13
 
7.6%
G 11
 
6.4%
D 11
 
6.4%
K 11
 
6.4%
S 7
 
4.1%
T 7
 
4.1%
M 6
 
3.5%
Other values (11) 36
21.1%
Decimal Number
ValueCountFrequency (%)
2 57
38.0%
1 46
30.7%
4 18
 
12.0%
3 12
 
8.0%
9 8
 
5.3%
8 3
 
2.0%
5 3
 
2.0%
6 2
 
1.3%
0 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
k 2
66.7%
n 1
33.3%
Space Separator
ValueCountFrequency (%)
259
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11644
95.2%
Common 411
 
3.4%
Latin 174
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 2667
 
22.9%
대 431
 
3.7%
본 290
 
2.5%
역 244
 
2.1%
신 208
 
1.8%
산 172
 
1.5%
동 169
 
1.5%
화 155
 
1.3%
서 155
 
1.3%
남 150
 
1.3%
Other values (378) 7003
60.1%
Latin
ValueCountFrequency (%)
C 37
21.3%
F 19
10.9%
A 13
 
7.5%
I 13
 
7.5%
G 11
 
6.3%
D 11
 
6.3%
K 11
 
6.3%
S 7
 
4.0%
T 7
 
4.0%
M 6
 
3.4%
Other values (13) 39
22.4%
Common
ValueCountFrequency (%)
259
63.0%
2 57
 
13.9%
1 46
 
11.2%
4 18
 
4.4%
3 12
 
2.9%
9 8
 
1.9%
8 3
 
0.7%
5 3
 
0.7%
6 2
 
0.5%
0 1
 
0.2%
Other values (2) 2
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11644
95.2%
ASCII 585
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 2667
 
22.9%
대 431
 
3.7%
본 290
 
2.5%
역 244
 
2.1%
신 208
 
1.8%
산 172
 
1.5%
동 169
 
1.5%
화 155
 
1.3%
서 155
 
1.3%
남 150
 
1.3%
Other values (378) 7003
60.1%
ASCII
ValueCountFrequency (%)
259
44.3%
2 57
 
9.7%
1 46
 
7.9%
C 37
 
6.3%
F 19
 
3.2%
4 18
 
3.1%
A 13
 
2.2%
I 13
 
2.2%
3 12
 
2.1%
G 11
 
1.9%
Other values (25) 100
 
17.1%

식당우편번호
Real number (ℝ)

Distinct4222
Distinct (%)42.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16639.296
Minimum1000
Maximum63643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:42.549395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1000
5-th percentile2871.75
Q14537
median7305
Q322207
95-th percentile59458.1
Maximum63643
Range62643
Interquartile range (IQR)17670

Descriptive statistics

Standard deviation17455.808
Coefficient of variation (CV)1.0490713
Kurtosis0.85659819
Mean16639.296
Median Absolute Deviation (MAD)4146.5
Skewness1.4385854
Sum1.6639296 × 108
Variance3.0470522 × 108
MonotonicityNot monotonic
2024-04-18T12:15:42.684000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3982 45
 
0.4%
6164 38
 
0.4%
4049 35
 
0.4%
8788 29
 
0.3%
3788 28
 
0.3%
6123 27
 
0.3%
14072 26
 
0.3%
3777 24
 
0.2%
8789 24
 
0.2%
13591 23
 
0.2%
Other values (4212) 9701
97.0%
ValueCountFrequency (%)
1000 1
 
< 0.1%
1011 1
 
< 0.1%
1012 2
< 0.1%
1014 3
< 0.1%
1016 2
< 0.1%
1017 1
 
< 0.1%
1021 1
 
< 0.1%
1044 1
 
< 0.1%
1049 1
 
< 0.1%
1052 2
< 0.1%
ValueCountFrequency (%)
63643 8
0.1%
63641 4
< 0.1%
63640 7
0.1%
63639 3
 
< 0.1%
63638 1
 
< 0.1%
63637 1
 
< 0.1%
63635 1
 
< 0.1%
63634 3
 
< 0.1%
63633 3
 
< 0.1%
63632 1
 
< 0.1%

대표전화번호
Text

MISSING 

Distinct9733
Distinct (%)> 99.9%
Missing264
Missing (%)2.6%
Memory size156.2 KiB
2024-04-18T12:15:42.880455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.796323
Min length9

Characters and Unicode

Total characters114849
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

Unique9730 ?
Unique (%)99.9%

Sample

1st row031-202-8839
2nd row064-733-9259
3rd row070-8950-0369
4th row070-4409-9333
5th row070-8245-4562
ValueCountFrequency (%)
051-990-1234 2
 
< 0.1%
02-3466-7277 2
 
< 0.1%
1522-3232 2
 
< 0.1%
010-2880-1986 1
 
< 0.1%
032-937-7610 1
 
< 0.1%
051-583-1688 1
 
< 0.1%
02-310-1317 1
 
< 0.1%
031-202-8839 1
 
< 0.1%
02-6461-0016 1
 
< 0.1%
070-8998-8964 1
 
< 0.1%
Other values (9724) 9724
99.9%
2024-04-18T12:15:43.182205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 19453
16.9%
0 17418
15.2%
2 14055
12.2%
3 10424
9.1%
1 8947
7.8%
7 8579
7.5%
5 8436
7.3%
4 7487
 
6.5%
8 7174
 
6.2%
6 6850
 
6.0%
Other values (2) 6026
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 95395
83.1%
Dash Punctuation 19453
 
16.9%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 17418
18.3%
2 14055
14.7%
3 10424
10.9%
1 8947
9.4%
7 8579
9.0%
5 8436
8.8%
4 7487
7.8%
8 7174
7.5%
6 6850
 
7.2%
9 6025
 
6.3%
Dash Punctuation
ValueCountFrequency (%)
- 19453
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 114849
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 19453
16.9%
0 17418
15.2%
2 14055
12.2%
3 10424
9.1%
1 8947
7.8%
7 8579
7.5%
5 8436
7.3%
4 7487
 
6.5%
8 7174
 
6.2%
6 6850
 
6.0%
Other values (2) 6026
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 114849
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 19453
16.9%
0 17418
15.2%
2 14055
12.2%
3 10424
9.1%
1 8947
7.8%
7 8579
7.5%
5 8436
7.3%
4 7487
 
6.5%
8 7174
 
6.2%
6 6850
 
6.0%
Other values (2) 6026
 
5.2%

식당지번주소
Text

Distinct9119
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:15:43.460455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length17.9283
Min length11

Characters and Unicode

Total characters179283
Distinct characters329
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8605 ?
Unique (%)86.1%

Sample

1st row경기도 수원시 영통구 영통동 1008-7
2nd row제주 서귀포시 서귀동 269-21
3rd row서울시 마포구 합정동 472
4th row서울시 마포구 서교동 397-10
5th row서울시 마포구 상수동 313-1
ValueCountFrequency (%)
서울시 5507
 
13.1%
경기도 1734
 
4.1%
강남구 892
 
2.1%
마포구 688
 
1.6%
중구 563
 
1.3%
종로구 442
 
1.1%
서초구 417
 
1.0%
제주 392
 
0.9%
인천시 391
 
0.9%
부산시 391
 
0.9%
Other values (9513) 30629
72.8%
2024-04-18T12:15:43.848921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32047
17.9%
동 10131
 
5.7%
시 9814
 
5.5%
1 8635
 
4.8%
구 8608
 
4.8%
- 8162
 
4.6%
서 7239
 
4.0%
울 5607
 
3.1%
2 5322
 
3.0%
3 4694
 
2.6%
Other values (319) 79024
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 97707
54.5%
Decimal Number 41367
23.1%
Space Separator 32047
 
17.9%
Dash Punctuation 8162
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 10131
 
10.4%
시 9814
 
10.0%
구 8608
 
8.8%
서 7239
 
7.4%
울 5607
 
5.7%
도 3176
 
3.3%
남 2218
 
2.3%
경 2035
 
2.1%
기 1922
 
2.0%
산 1746
 
1.8%
Other values (307) 45211
46.3%
Decimal Number
ValueCountFrequency (%)
1 8635
20.9%
2 5322
12.9%
3 4694
11.3%
4 4069
9.8%
5 3723
9.0%
6 3517
8.5%
7 3017
 
7.3%
8 2900
 
7.0%
9 2802
 
6.8%
0 2688
 
6.5%
Space Separator
ValueCountFrequency (%)
32047
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8162
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 97707
54.5%
Common 81576
45.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 10131
 
10.4%
시 9814
 
10.0%
구 8608
 
8.8%
서 7239
 
7.4%
울 5607
 
5.7%
도 3176
 
3.3%
남 2218
 
2.3%
경 2035
 
2.1%
기 1922
 
2.0%
산 1746
 
1.8%
Other values (307) 45211
46.3%
Common
ValueCountFrequency (%)
32047
39.3%
1 8635
 
10.6%
- 8162
 
10.0%
2 5322
 
6.5%
3 4694
 
5.8%
4 4069
 
5.0%
5 3723
 
4.6%
6 3517
 
4.3%
7 3017
 
3.7%
8 2900
 
3.6%
Other values (2) 5490
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 97706
54.5%
ASCII 81576
45.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32047
39.3%
1 8635
 
10.6%
- 8162
 
10.0%
2 5322
 
6.5%
3 4694
 
5.8%
4 4069
 
5.0%
5 3723
 
4.6%
6 3517
 
4.3%
7 3017
 
3.7%
8 2900
 
3.6%
Other values (2) 5490
 
6.7%
Hangul
ValueCountFrequency (%)
동 10131
 
10.4%
시 9814
 
10.0%
구 8608
 
8.8%
서 7239
 
7.4%
울 5607
 
5.7%
도 3176
 
3.3%
남 2218
 
2.3%
경 2035
 
2.1%
기 1922
 
2.0%
산 1746
 
1.8%
Other values (306) 45210
46.3%
Compat Jamo
ValueCountFrequency (%)
ㅤ 1
100.0%

식당도로명주소
Text

Distinct9135
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-04-18T12:15:44.144707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length29
Mean length19.338
Min length13

Characters and Unicode

Total characters193380
Distinct characters481
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8628 ?
Unique (%)86.3%

Sample

1st row경기도 수원시 영통구 반달로 26-1
2nd row제주 서귀포시 서귀동 269-21
3rd row서울특별시 마포구 월드컵로1길 14
4th row서울특별시 마포구 독막로3길 46
5th row서울특별시 마포구 독막로15길 3-18
ValueCountFrequency (%)
서울특별시 5439
 
12.9%
경기도 1734
 
4.1%
강남구 892
 
2.1%
마포구 688
 
1.6%
중구 563
 
1.3%
종로구 442
 
1.1%
서초구 417
 
1.0%
제주특별자치도 390
 
0.9%
부산광역시 389
 
0.9%
용산구 389
 
0.9%
Other values (7556) 30720
73.0%
2024-04-18T12:15:44.571703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32066
 
16.6%
시 9949
 
5.1%
로 9409
 
4.9%
구 8621
 
4.5%
1 7414
 
3.8%
서 7142
 
3.7%
별 5866
 
3.0%
특 5856
 
3.0%
울 5680
 
2.9%
길 5632
 
2.9%
Other values (471) 95745
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 124733
64.5%
Decimal Number 34590
 
17.9%
Space Separator 32066
 
16.6%
Dash Punctuation 1991
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9949
 
8.0%
로 9409
 
7.5%
구 8621
 
6.9%
서 7142
 
5.7%
별 5866
 
4.7%
특 5856
 
4.7%
울 5680
 
4.6%
길 5632
 
4.5%
도 3485
 
2.8%
대 2674
 
2.1%
Other values (459) 60419
48.4%
Decimal Number
ValueCountFrequency (%)
1 7414
21.4%
2 5057
14.6%
3 3904
11.3%
4 3278
9.5%
5 3028
8.8%
6 2853
 
8.2%
7 2563
 
7.4%
0 2245
 
6.5%
8 2218
 
6.4%
9 2030
 
5.9%
Space Separator
ValueCountFrequency (%)
32066
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1991
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 124733
64.5%
Common 68647
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9949
 
8.0%
로 9409
 
7.5%
구 8621
 
6.9%
서 7142
 
5.7%
별 5866
 
4.7%
특 5856
 
4.7%
울 5680
 
4.6%
길 5632
 
4.5%
도 3485
 
2.8%
대 2674
 
2.1%
Other values (459) 60419
48.4%
Common
ValueCountFrequency (%)
32066
46.7%
1 7414
 
10.8%
2 5057
 
7.4%
3 3904
 
5.7%
4 3278
 
4.8%
5 3028
 
4.4%
6 2853
 
4.2%
7 2563
 
3.7%
0 2245
 
3.3%
8 2218
 
3.2%
Other values (2) 4021
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 124724
64.5%
ASCII 68647
35.5%
Compat Jamo 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32066
46.7%
1 7414
 
10.8%
2 5057
 
7.4%
3 3904
 
5.7%
4 3278
 
4.8%
5 3028
 
4.4%
6 2853
 
4.2%
7 2563
 
3.7%
0 2245
 
3.3%
8 2218
 
3.2%
Other values (2) 4021
 
5.9%
Hangul
ValueCountFrequency (%)
시 9949
 
8.0%
로 9409
 
7.5%
구 8621
 
6.9%
서 7142
 
5.7%
별 5866
 
4.7%
특 5856
 
4.7%
울 5680
 
4.6%
길 5632
 
4.5%
도 3485
 
2.8%
대 2674
 
2.1%
Other values (451) 60410
48.4%
Compat Jamo
ValueCountFrequency (%)
ㄴ 2
22.2%
ㅘ 1
11.1%
ㅇ 1
11.1%
ㅅ 1
11.1%
ㅏ 1
11.1%
ㄱ 1
11.1%
ㅜ 1
11.1%
ㅤ 1
11.1%

식당위도좌표값
Real number (ℝ)

Distinct9541
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.068687
Minimum33.119908
Maximum38.375524
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:44.689833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.119908
5-th percentile34.967138
Q137.30209
median37.509993
Q337.558735
95-th percentile37.663966
Maximum38.375524
Range5.2556153
Interquartile range (IQR)0.25664423

Descriptive statistics

Standard deviation1.0272668
Coefficient of variation (CV)0.027712521
Kurtosis4.4251398
Mean37.068687
Median Absolute Deviation (MAD)0.062024885
Skewness-2.2612278
Sum370686.87
Variance1.055277
MonotonicityNot monotonic
2024-04-18T12:15:44.819245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.51419392 10
 
0.1%
37.52580566 9
 
0.1%
37.39354833 8
 
0.1%
37.51778061 8
 
0.1%
37.50974556 8
 
0.1%
37.50843949 8
 
0.1%
37.5093946 8
 
0.1%
37.51148311 8
 
0.1%
37.57111948 7
 
0.1%
37.50555211 7
 
0.1%
Other values (9531) 9919
99.2%
ValueCountFrequency (%)
33.11990842 1
< 0.1%
33.21248245 1
< 0.1%
33.2183365 1
< 0.1%
33.21846488 1
< 0.1%
33.21927509 1
< 0.1%
33.22014968 1
< 0.1%
33.220378 1
< 0.1%
33.22040939 1
< 0.1%
33.2234701 1
< 0.1%
33.22556305 1
< 0.1%
ValueCountFrequency (%)
38.3755237 1
< 0.1%
38.3534145 1
< 0.1%
38.29055235 1
< 0.1%
38.2857294 1
< 0.1%
38.2663129 1
< 0.1%
38.2538434 1
< 0.1%
38.231334 1
< 0.1%
38.2267686 1
< 0.1%
38.22653653 1
< 0.1%
38.22620095 1
< 0.1%

식당경도좌표값
Real number (ℝ)

Distinct9552
Distinct (%)95.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.2051
Minimum126.16537
Maximum130.91036
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:45.600293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.16537
5-th percentile126.65568
Q1126.92849
median127.01844
Q3127.11035
95-th percentile129.036
Maximum130.91036
Range4.7449838
Interquartile range (IQR)0.18185836

Descriptive statistics

Standard deviation0.63685781
Coefficient of variation (CV)0.0050065431
Kurtosis3.7819805
Mean127.2051
Median Absolute Deviation (MAD)0.09107575
Skewness2.1610538
Sum1272051
Variance0.40558788
MonotonicityNot monotonic
2024-04-18T12:15:45.714808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1040148 10
 
0.1%
126.9266096 9
 
0.1%
126.90536746 8
 
0.1%
127.05993123 8
 
0.1%
126.88767424 8
 
0.1%
127.0603371 8
 
0.1%
126.8902163 8
 
0.1%
126.98009134 7
 
0.1%
127.11204583 7
 
0.1%
126.8026795 6
 
0.1%
Other values (9542) 9921
99.2%
ValueCountFrequency (%)
126.1653733 1
< 0.1%
126.1800996 1
< 0.1%
126.1801519 1
< 0.1%
126.1978674 1
< 0.1%
126.22450184 1
< 0.1%
126.2271923 1
< 0.1%
126.22858103 1
< 0.1%
126.2322921 1
< 0.1%
126.24035645 1
< 0.1%
126.2410737 1
< 0.1%
ValueCountFrequency (%)
130.91035707 1
< 0.1%
130.909705 1
< 0.1%
129.5801062 1
< 0.1%
129.5761115 1
< 0.1%
129.56918373 1
< 0.1%
129.473696 1
< 0.1%
129.45469811 1
< 0.1%
129.43138123 1
< 0.1%
129.4303686 1
< 0.1%
129.4282375 1
< 0.1%

1인당가격만원단위구간값
Categorical

Distinct6
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
만원 미만
4946 
만원-2만원
3287 
2만원-3만원
967 
<NA>
 
281
3만원-4만원
 
270

Length

Max length7
Median length6
Mean length5.5729
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
만원 미만 4946
49.5%
만원-2만원 3287
32.9%
2만원-3만원 967
 
9.7%
<NA> 281
 
2.8%
3만원-4만원 270
 
2.7%
4만원 이상 249
 
2.5%

Length

2024-04-18T12:15:45.822341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:15:45.918040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
만원 4946
32.6%
미만 4946
32.6%
만원-2만원 3287
21.6%
2만원-3만원 967
 
6.4%
na 281
 
1.8%
3만원-4만원 270
 
1.8%
4만원 249
 
1.6%
이상 249
 
1.6%

음식대분류명
Categorical

Distinct8
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
한식
4264 
카페
2209 
양식
1031 
일식
1023 
중식
575 
Other values (3)
898 

Length

Max length4
Median length2
Mean length2.0662
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row중식
2nd row한식
3rd row세계음식
4th row한식
5th row일식

Common Values

ValueCountFrequency (%)
한식 4264
42.6%
카페 2209
22.1%
양식 1031
 
10.3%
일식 1023
 
10.2%
중식 575
 
5.8%
주점 496
 
5.0%
세계음식 331
 
3.3%
뷔페 71
 
0.7%

Length

2024-04-18T12:15:46.031007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:15:46.140279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
한식 4264
42.6%
카페 2209
22.1%
양식 1031
 
10.3%
일식 1023
 
10.2%
중식 575
 
5.8%
주점 496
 
5.0%
세계음식 331
 
3.3%
뷔페 71
 
0.7%

음식소분류명
Categorical

Distinct43
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
카페 / 디저트
1935 
고기 요리
1066 
탕 / 찌개 / 전골
629 
한정식 / 백반 / 정통 한식
595 
해산물 요리
553 
Other values (38)
5222 

Length

Max length16
Median length14
Mean length8.2494
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row정통 중식 / 일반 중식
2nd row국수 / 면 요리
3rd row베트남 음식
4th row고기 요리
5th row회 / 스시

Common Values

ValueCountFrequency (%)
카페 / 디저트 1935
19.4%
고기 요리 1066
 
10.7%
탕 / 찌개 / 전골 629
 
6.3%
한정식 / 백반 / 정통 한식 595
 
5.9%
해산물 요리 553
 
5.5%
기타 한식 515
 
5.1%
국수 / 면 요리 464
 
4.6%
이탈리안 397
 
4.0%
닭 / 오리 요리 394
 
3.9%
정통 중식 / 일반 중식 384
 
3.8%
Other values (33) 3068
30.7%

Length

2024-04-18T12:15:46.263858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
8031
25.1%
요리 2614
 
8.2%
카페 1935
 
6.0%
디저트 1935
 
6.0%
한식 1158
 
3.6%
정통 1101
 
3.4%
고기 1066
 
3.3%
기타 938
 
2.9%
중식 933
 
2.9%
탕 629
 
2.0%
Other values (57) 11702
36.5%

주차구분명
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
주차공간없음
3649 
무료주차 가능
2645 
<NA>
2200 
유료주차 가능
1177 
발렛
 
329

Length

Max length7
Median length6
Mean length5.8106
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료주차 가능
2nd row<NA>
3rd row무료주차 가능
4th row주차공간없음
5th row주차공간없음

Common Values

ValueCountFrequency (%)
주차공간없음 3649
36.5%
무료주차 가능 2645
26.5%
<NA> 2200
22.0%
유료주차 가능 1177
 
11.8%
발렛 329
 
3.3%

Length

2024-04-18T12:15:46.393465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:15:46.482779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가능 3822
27.7%
주차공간없음 3649
26.4%
무료주차 2645
19.1%
na 2200
15.9%
유료주차 1177
 
8.5%
발렛 329
 
2.4%

식당영업시간값
Text

MISSING 

Distinct1738
Distinct (%)21.2%
Missing1788
Missing (%)17.9%
Memory size156.2 KiB
2024-04-18T12:15:46.651569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length90
Median length13
Mean length17.477716
Min length3

Characters and Unicode

Total characters143527
Distinct characters31
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

Unique1318 ?
Unique (%)16.0%

Sample

1st row12:00 - 22:00
2nd row10:30 - 21:30
3rd row월-목: 11:00 - 22:00, 금-토: 11:00 - 23:00
4th row11:30 - 21:30
5th row10:00 - 01:30
ValueCountFrequency (%)
9763
30.2%
22:00 2502
 
7.7%
11:00 2394
 
7.4%
11:30 1536
 
4.8%
21:00 1326
 
4.1%
10:00 1106
 
3.4%
23:00 1003
 
3.1%
24:00 928
 
2.9%
12:00 883
 
2.7%
월-금 731
 
2.3%
Other values (121) 10123
31.3%
2024-04-18T12:15:46.974509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 40544
28.2%
24183
16.8%
: 22510
15.7%
1 15144
 
10.6%
2 12068
 
8.4%
- 11952
 
8.3%
3 5600
 
3.9%
, 1561
 
1.1%
토 1337
 
0.9%
4 1244
 
0.9%
Other values (21) 7384
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 78077
54.4%
Space Separator 24183
 
16.8%
Other Punctuation 24072
 
16.8%
Dash Punctuation 11952
 
8.3%
Other Letter 5235
 
3.6%
Lowercase Letter 7
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 40544
51.9%
1 15144
 
19.4%
2 12068
 
15.5%
3 5600
 
7.2%
4 1244
 
1.6%
7 895
 
1.1%
9 859
 
1.1%
8 844
 
1.1%
6 447
 
0.6%
5 432
 
0.6%
Other Letter
ValueCountFrequency (%)
토 1337
25.5%
월 1184
22.6%
일 1165
22.3%
금 1055
20.2%
목 263
 
5.0%
화 136
 
2.6%
수 35
 
0.7%
유 20
 
0.4%
적 20
 
0.4%
동 20
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
e 2
28.6%
x 1
14.3%
i 1
14.3%
b 1
14.3%
Other Punctuation
ValueCountFrequency (%)
: 22510
93.5%
, 1561
 
6.5%
! 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
24183
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11952
100.0%
Uppercase Letter
ValueCountFrequency (%)
F 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 138284
96.3%
Hangul 5235
 
3.6%
Latin 8
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 40544
29.3%
24183
17.5%
: 22510
16.3%
1 15144
 
11.0%
2 12068
 
8.7%
- 11952
 
8.6%
3 5600
 
4.0%
, 1561
 
1.1%
4 1244
 
0.9%
7 895
 
0.6%
Other values (5) 2583
 
1.9%
Hangul
ValueCountFrequency (%)
토 1337
25.5%
월 1184
22.6%
일 1165
22.3%
금 1055
20.2%
목 263
 
5.0%
화 136
 
2.6%
수 35
 
0.7%
유 20
 
0.4%
적 20
 
0.4%
동 20
 
0.4%
Latin
ValueCountFrequency (%)
l 2
25.0%
e 2
25.0%
F 1
12.5%
x 1
12.5%
i 1
12.5%
b 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 138292
96.4%
Hangul 5235
 
3.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 40544
29.3%
24183
17.5%
: 22510
16.3%
1 15144
 
11.0%
2 12068
 
8.7%
- 11952
 
8.6%
3 5600
 
4.0%
, 1561
 
1.1%
4 1244
 
0.9%
7 895
 
0.6%
Other values (11) 2591
 
1.9%
Hangul
ValueCountFrequency (%)
토 1337
25.5%
월 1184
22.6%
일 1165
22.3%
금 1055
20.2%
목 263
 
5.0%
화 136
 
2.6%
수 35
 
0.7%
유 20
 
0.4%
적 20
 
0.4%
동 20
 
0.4%

휴식시간내용
Text

MISSING 

Distinct154
Distinct (%)12.9%
Missing8810
Missing (%)88.1%
Memory size156.2 KiB
2024-04-18T12:15:47.138260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length86
Median length13
Mean length15.37479
Min length11

Characters and Unicode

Total characters18296
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

Unique97 ?
Unique (%)8.2%

Sample

1st row15:00 - 16:30
2nd row목: 16:00 - 16:30
3rd row14:00 - 18:00
4th row15:30 - 17:30
5th row14:00 - 17:00
ValueCountFrequency (%)
1285
30.9%
15:00 749
18.0%
17:00 685
16.5%
17:30 232
 
5.6%
월-금 216
 
5.2%
14:30 153
 
3.7%
16:00 141
 
3.4%
18:00 137
 
3.3%
15:30 134
 
3.2%
16:30 107
 
2.6%
Other values (57) 313
 
7.5%
2024-04-18T12:15:47.405581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4435
24.2%
2962
16.2%
: 2868
15.7%
1 2554
14.0%
- 1571
 
8.6%
7 926
 
5.1%
5 901
 
4.9%
3 681
 
3.7%
4 266
 
1.5%
6 252
 
1.4%
Other values (13) 880
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10192
55.7%
Space Separator 2962
 
16.2%
Other Punctuation 2952
 
16.1%
Dash Punctuation 1571
 
8.6%
Other Letter 618
 
3.4%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4435
43.5%
1 2554
25.1%
7 926
 
9.1%
5 901
 
8.8%
3 681
 
6.7%
4 266
 
2.6%
6 252
 
2.5%
8 140
 
1.4%
2 27
 
0.3%
9 10
 
0.1%
Other Letter
ValueCountFrequency (%)
금 241
39.0%
월 224
36.2%
토 68
 
11.0%
일 54
 
8.7%
화 23
 
3.7%
목 4
 
0.6%
수 4
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 2868
97.2%
, 72
 
2.4%
/ 12
 
0.4%
Space Separator
ValueCountFrequency (%)
2962
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1571
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17678
96.6%
Hangul 618
 
3.4%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4435
25.1%
2962
16.8%
: 2868
16.2%
1 2554
14.4%
- 1571
 
8.9%
7 926
 
5.2%
5 901
 
5.1%
3 681
 
3.9%
4 266
 
1.5%
6 252
 
1.4%
Other values (6) 262
 
1.5%
Hangul
ValueCountFrequency (%)
금 241
39.0%
월 224
36.2%
토 68
 
11.0%
일 54
 
8.7%
화 23
 
3.7%
목 4
 
0.6%
수 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17678
96.6%
Hangul 618
 
3.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4435
25.1%
2962
16.8%
: 2868
16.2%
1 2554
14.4%
- 1571
 
8.9%
7 926
 
5.2%
5 901
 
5.1%
3 681
 
3.9%
4 266
 
1.5%
6 252
 
1.4%
Other values (6) 262
 
1.5%
Hangul
ValueCountFrequency (%)
금 241
39.0%
월 224
36.2%
토 68
 
11.0%
일 54
 
8.7%
화 23
 
3.7%
목 4
 
0.6%
수 4
 
0.6%

최종주문가능시간값
Text

MISSING 

Distinct178
Distinct (%)10.4%
Missing8289
Missing (%)82.9%
Memory size156.2 KiB
2024-04-18T12:15:47.581077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length5
Mean length6.2355348
Min length1

Characters and Unicode

Total characters10669
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

Unique113 ?
Unique (%)6.6%

Sample

1st row21:00
2nd row월-목: 21:30, 금-토: 22:00
3rd row월-금: 21:00, 토-일: 20:00
4th row21:00
5th row13:15, 21:15
ValueCountFrequency (%)
21:00 455
21.9%
21:30 270
13.0%
20:30 222
 
10.7%
20:00 127
 
6.1%
22:00 110
 
5.3%
22:30 73
 
3.5%
23:00 62
 
3.0%
21:20 50
 
2.4%
20:50 46
 
2.2%
01:00 44
 
2.1%
Other values (90) 623
29.9%
2024-04-18T12:15:47.872528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3439
32.2%
: 2069
19.4%
2 1888
17.7%
1 1115
 
10.5%
3 778
 
7.3%
373
 
3.5%
, 157
 
1.5%
4 143
 
1.3%
- 129
 
1.2%
5 109
 
1.0%
Other values (13) 469
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7608
71.3%
Other Punctuation 2236
 
21.0%
Space Separator 373
 
3.5%
Other Letter 307
 
2.9%
Dash Punctuation 129
 
1.2%
Math Symbol 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3439
45.2%
2 1888
24.8%
1 1115
 
14.7%
3 778
 
10.2%
4 143
 
1.9%
5 109
 
1.4%
9 72
 
0.9%
8 33
 
0.4%
7 23
 
0.3%
6 8
 
0.1%
Other Letter
ValueCountFrequency (%)
토 78
25.4%
일 77
25.1%
월 69
22.5%
금 55
17.9%
목 16
 
5.2%
화 10
 
3.3%
수 2
 
0.7%
Other Punctuation
ValueCountFrequency (%)
: 2069
92.5%
, 157
 
7.0%
/ 10
 
0.4%
Space Separator
ValueCountFrequency (%)
373
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 129
100.0%
Math Symbol
ValueCountFrequency (%)
+ 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10362
97.1%
Hangul 307
 
2.9%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3439
33.2%
: 2069
20.0%
2 1888
18.2%
1 1115
 
10.8%
3 778
 
7.5%
373
 
3.6%
, 157
 
1.5%
4 143
 
1.4%
- 129
 
1.2%
5 109
 
1.1%
Other values (6) 162
 
1.6%
Hangul
ValueCountFrequency (%)
토 78
25.4%
일 77
25.1%
월 69
22.5%
금 55
17.9%
목 16
 
5.2%
화 10
 
3.3%
수 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10362
97.1%
Hangul 307
 
2.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3439
33.2%
: 2069
20.0%
2 1888
18.2%
1 1115
 
10.8%
3 778
 
7.5%
373
 
3.6%
, 157
 
1.5%
4 143
 
1.4%
- 129
 
1.2%
5 109
 
1.1%
Other values (6) 162
 
1.6%
Hangul
ValueCountFrequency (%)
토 78
25.4%
일 77
25.1%
월 69
22.5%
금 55
17.9%
목 16
 
5.2%
화 10
 
3.3%
수 2
 
0.7%

식당휴일내용
Text

MISSING 

Distinct118
Distinct (%)4.8%
Missing7559
Missing (%)75.6%
Memory size156.2 KiB
2024-04-18T12:15:48.026946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length1
Mean length2.0450635
Min length1

Characters and Unicode

Total characters4992
Distinct characters38
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

Unique62 ?
Unique (%)2.5%

Sample

1st row일
2nd row둘째 목
3rd row둘째/넷째 토
4th row넷째 일
5th row일, 월
ValueCountFrequency (%)
일 1379
45.3%
월 736
24.2%
화 248
 
8.1%
토 140
 
4.6%
수 108
 
3.5%
첫째/셋째 96
 
3.2%
둘째/넷째 90
 
3.0%
목 39
 
1.3%
첫째 38
 
1.2%
둘째 31
 
1.0%
Other values (30) 140
 
4.6%
2024-04-18T12:15:48.282204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 1394
27.9%
월 738
14.8%
606
12.1%
째 529
 
10.6%
, 269
 
5.4%
화 248
 
5.0%
/ 210
 
4.2%
첫 142
 
2.8%
토 141
 
2.8%
셋 132
 
2.6%
Other values (28) 583
11.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3898
78.1%
Space Separator 606
 
12.1%
Other Punctuation 479
 
9.6%
Decimal Number 8
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 1394
35.8%
월 738
18.9%
째 529
 
13.6%
화 248
 
6.4%
첫 142
 
3.6%
토 141
 
3.6%
셋 132
 
3.4%
둘 127
 
3.3%
넷 123
 
3.2%
수 108
 
2.8%
Other values (21) 216
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 5
62.5%
5 2
 
25.0%
4 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 269
56.2%
/ 210
43.8%
Space Separator
ValueCountFrequency (%)
606
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3898
78.1%
Common 1094
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 1394
35.8%
월 738
18.9%
째 529
 
13.6%
화 248
 
6.4%
첫 142
 
3.6%
토 141
 
3.6%
셋 132
 
3.4%
둘 127
 
3.3%
넷 123
 
3.2%
수 108
 
2.8%
Other values (21) 216
 
5.5%
Common
ValueCountFrequency (%)
606
55.4%
, 269
24.6%
/ 210
 
19.2%
1 5
 
0.5%
5 2
 
0.2%
- 1
 
0.1%
4 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3898
78.1%
ASCII 1094
 
21.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 1394
35.8%
월 738
18.9%
째 529
 
13.6%
화 248
 
6.4%
첫 142
 
3.6%
토 141
 
3.6%
셋 132
 
3.4%
둘 127
 
3.3%
넷 123
 
3.2%
수 108
 
2.8%
Other values (21) 216
 
5.5%
ASCII
ValueCountFrequency (%)
606
55.4%
, 269
24.6%
/ 210
 
19.2%
1 5
 
0.5%
5 2
 
0.2%
- 1
 
0.1%
4 1
 
0.1%

메인메뉴내용
Text

MISSING 

Distinct266
Distinct (%)8.8%
Missing6968
Missing (%)69.7%
Memory size156.2 KiB
2024-04-18T12:15:48.565717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length6.4327177
Min length1

Characters and Unicode

Total characters19504
Distinct characters276
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique66 ?
Unique (%)2.2%

Sample

1st row사시미 / 스시 / 초밥 전문점
2nd row수제버거 전문점
3rd row이탈리안 음식
4th row치킨 전문점
5th row오꼬노미야끼 전문점
ValueCountFrequency (%)
전문점 1456
23.1%
카페 540
 
8.6%
458
 
7.3%
음식 300
 
4.8%
이탈리안 150
 
2.4%
중식 144
 
2.3%
일반 123
 
2.0%
베이커리 122
 
1.9%
일식 121
 
1.9%
기타 109
 
1.7%
Other values (277) 2771
44.0%
2024-04-18T12:15:48.996981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3262
 
16.7%
전 1583
 
8.1%
점 1506
 
7.7%
문 1457
 
7.5%
식 767
 
3.9%
카 634
 
3.3%
페 565
 
2.9%
이 501
 
2.6%
/ 458
 
2.3%
리 346
 
1.8%
Other values (266) 8425
43.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15784
80.9%
Space Separator 3262
 
16.7%
Other Punctuation 458
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1583
 
10.0%
점 1506
 
9.5%
문 1457
 
9.2%
식 767
 
4.9%
카 634
 
4.0%
페 565
 
3.6%
이 501
 
3.2%
리 346
 
2.2%
음 310
 
2.0%
일 282
 
1.8%
Other values (264) 7833
49.6%
Space Separator
ValueCountFrequency (%)
3262
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 458
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15784
80.9%
Common 3720
 
19.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1583
 
10.0%
점 1506
 
9.5%
문 1457
 
9.2%
식 767
 
4.9%
카 634
 
4.0%
페 565
 
3.6%
이 501
 
3.2%
리 346
 
2.2%
음 310
 
2.0%
일 282
 
1.8%
Other values (264) 7833
49.6%
Common
ValueCountFrequency (%)
3262
87.7%
/ 458
 
12.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15784
80.9%
ASCII 3720
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3262
87.7%
/ 458
 
12.3%
Hangul
ValueCountFrequency (%)
전 1583
 
10.0%
점 1506
 
9.5%
문 1457
 
9.2%
식 767
 
4.9%
카 634
 
4.0%
페 565
 
3.6%
이 501
 
3.2%
리 346
 
2.2%
음 310
 
2.0%
일 282
 
1.8%
Other values (264) 7833
49.6%

식당평점값
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)0.7%
Missing6884
Missing (%)68.8%
Infinite0
Infinite (%)0.0%
Mean3.7804557
Minimum2.5
Maximum4.7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:49.121771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.5
5-th percentile3.1
Q13.5
median3.8
Q34
95-th percentile4.3
Maximum4.7
Range2.2
Interquartile range (IQR)0.5

Descriptive statistics

Standard deviation0.37161733
Coefficient of variation (CV)0.098299612
Kurtosis-0.11885091
Mean3.7804557
Median Absolute Deviation (MAD)0.3
Skewness-0.30758123
Sum11779.9
Variance0.13809944
MonotonicityNot monotonic
2024-04-18T12:15:49.227237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
3.9 467
 
4.7%
4.0 319
 
3.2%
3.7 289
 
2.9%
4.1 259
 
2.6%
3.5 237
 
2.4%
3.8 228
 
2.3%
3.4 222
 
2.2%
3.6 216
 
2.2%
4.2 166
 
1.7%
4.3 164
 
1.6%
Other values (13) 549
 
5.5%
(Missing) 6884
68.8%
ValueCountFrequency (%)
2.5 3
 
< 0.1%
2.6 4
 
< 0.1%
2.7 9
 
0.1%
2.8 15
 
0.1%
2.9 27
 
0.3%
3.0 39
 
0.4%
3.1 67
 
0.7%
3.2 91
0.9%
3.3 148
1.5%
3.4 222
2.2%
ValueCountFrequency (%)
4.7 8
 
0.1%
4.6 28
 
0.3%
4.5 35
 
0.4%
4.4 75
 
0.8%
4.3 164
 
1.6%
4.2 166
 
1.7%
4.1 259
2.6%
4.0 319
3.2%
3.9 467
4.7%
3.8 228
2.3%

식당리뷰수
Real number (ℝ)

Distinct192
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.8783
Minimum2
Maximum530
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:49.330470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q13
median5
Q311
95-th percentile48
Maximum530
Range528
Interquartile range (IQR)8

Descriptive statistics

Standard deviation25.079501
Coefficient of variation (CV)1.9474233
Kurtosis74.526557
Mean12.8783
Median Absolute Deviation (MAD)2
Skewness6.9338669
Sum128783
Variance628.98139
MonotonicityNot monotonic
2024-04-18T12:15:49.450119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 2279
22.8%
4 1436
14.4%
5 939
 
9.4%
6 628
 
6.3%
2 533
 
5.3%
7 520
 
5.2%
8 362
 
3.6%
9 313
 
3.1%
10 271
 
2.7%
11 231
 
2.3%
Other values (182) 2488
24.9%
ValueCountFrequency (%)
2 533
 
5.3%
3 2279
22.8%
4 1436
14.4%
5 939
9.4%
6 628
 
6.3%
7 520
 
5.2%
8 362
 
3.6%
9 313
 
3.1%
10 271
 
2.7%
11 231
 
2.3%
ValueCountFrequency (%)
530 1
< 0.1%
425 1
< 0.1%
412 1
< 0.1%
400 1
< 0.1%
382 1
< 0.1%
373 1
< 0.1%
312 1
< 0.1%
298 1
< 0.1%
295 1
< 0.1%
282 1
< 0.1%

식당조회수
Real number (ℝ)

Distinct6883
Distinct (%)68.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10571.636
Minimum50
Maximum441705
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:49.561593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum50
5-th percentile894
Q12137.75
median3809
Q38495.25
95-th percentile40645.85
Maximum441705
Range441655
Interquartile range (IQR)6357.5

Descriptive statistics

Standard deviation24129.927
Coefficient of variation (CV)2.282516
Kurtosis73.594713
Mean10571.636
Median Absolute Deviation (MAD)2141.5
Skewness7.1648128
Sum1.0571636 × 108
Variance5.8225338 × 108
MonotonicityNot monotonic
2024-04-18T12:15:49.670371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1911 7
 
0.1%
1407 6
 
0.1%
2159 6
 
0.1%
2867 6
 
0.1%
1058 6
 
0.1%
2146 6
 
0.1%
2332 6
 
0.1%
1558 6
 
0.1%
2600 6
 
0.1%
2311 6
 
0.1%
Other values (6873) 9939
99.4%
ValueCountFrequency (%)
50 1
< 0.1%
57 1
< 0.1%
59 1
< 0.1%
60 1
< 0.1%
61 1
< 0.1%
62 1
< 0.1%
63 1
< 0.1%
76 1
< 0.1%
77 1
< 0.1%
81 2
< 0.1%
ValueCountFrequency (%)
441705 1
< 0.1%
385550 1
< 0.1%
385295 1
< 0.1%
379316 1
< 0.1%
364717 1
< 0.1%
347183 1
< 0.1%
339305 1
< 0.1%
332906 1
< 0.1%
329797 1
< 0.1%
299984 1
< 0.1%

식당방문희망건수
Real number (ℝ)

Distinct1286
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean237.0931
Minimum0
Maximum10625
Zeros46
Zeros (%)0.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-04-18T12:15:49.779553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q118
median47
Q3158
95-th percentile1087.1
Maximum10625
Range10625
Interquartile range (IQR)140

Descriptive statistics

Standard deviation631.83732
Coefficient of variation (CV)2.6649334
Kurtosis54.239887
Mean237.0931
Median Absolute Deviation (MAD)37
Skewness6.2925165
Sum2370931
Variance399218.4
MonotonicityNot monotonic
2024-04-18T12:15:49.890968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 169
 
1.7%
9 167
 
1.7%
10 165
 
1.7%
14 165
 
1.7%
6 164
 
1.6%
11 161
 
1.6%
5 157
 
1.6%
7 149
 
1.5%
16 146
 
1.5%
12 142
 
1.4%
Other values (1276) 8415
84.2%
ValueCountFrequency (%)
0 46
 
0.5%
1 77
0.8%
2 107
1.1%
3 133
1.3%
4 132
1.3%
5 157
1.6%
6 164
1.6%
7 149
1.5%
8 169
1.7%
9 167
1.7%
ValueCountFrequency (%)
10625 1
< 0.1%
8838 1
< 0.1%
8671 1
< 0.1%
8461 1
< 0.1%
8035 1
< 0.1%
8001 1
< 0.1%
7872 1
< 0.1%
7408 1
< 0.1%
7358 1
< 0.1%
7341 1
< 0.1%

대상기준년월
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 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

2024-04-18T12:15:49.990924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-18T12:15:50.065155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
202108 10000
100.0%

Sample

기준년월식당ID식당명지점명식당우편번호대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
20519202108dJOWM-gvkL팔선생<NA>16705031-202-8839경기도 수원시 영통구 영통동 1008-7경기도 수원시 영통구 반달로 26-137.251157127.074985만원 미만중식정통 중식 / 일반 중식무료주차 가능12:00 - 22:00<NA><NA><NA><NA><NA>5205016202108
34344202108UwF7yKaMvabw바당국수<NA>63590064-733-9259제주 서귀포시 서귀동 269-21제주 서귀포시 서귀동 269-2133.250357126.565661만원 미만한식국수 / 면 요리<NA><NA><NA><NA><NA><NA><NA>35054202108
30077202108nVaJjydcbC3U포로이합정점4024070-8950-0369서울시 마포구 합정동 472서울특별시 마포구 월드컵로1길 1437.549712126.912193만원 미만세계음식베트남 음식무료주차 가능10:30 - 21:30<NA>21:00<NA><NA><NA>321056202108
139852021080aLZRXDc9S-y구워삶다<NA>4047070-4409-9333서울시 마포구 서교동 397-10서울특별시 마포구 독막로3길 4637.550124126.917797만원-2만원한식고기 요리주차공간없음월-목: 11:00 - 22:00, 금-토: 11:00 - 23:00<NA>월-목: 21:30, 금-토: 22:00일<NA><NA>813802159202108
1797202108yDxyOs463j히메시야<NA>4049070-8245-4562서울시 마포구 상수동 313-1서울특별시 마포구 독막로15길 3-1837.548671126.9212862만원-3만원일식회 / 스시주차공간없음11:30 - 21:3015:00 - 16:30<NA><NA>사시미 / 스시 / 초밥 전문점4.12071885284611202108
20697202108w7MI7UjjTOkD캐비아치킨<NA>44941052-263-0371울산시 울주군 언양읍 동부리 147-8울산광역시 울주군 언양읍 동부9길 1235.565466129.126869만원-2만원한식닭 / 오리 요리무료주차 가능10:00 - 01:30<NA><NA>둘째 목<NA><NA>518473202108
14082202108U33Pjkgc0H대백손칼국수<NA>41948053-423-2792대구시 중구 삼덕동2가 265-2대구광역시 중구 동덕로 114-435.864753128.603302만원 미만한식국수 / 면 요리유료주차 가능11:00 - 20:50<NA><NA>둘째/넷째 토<NA><NA>89547196202108
32183202108aEExuf0Fsr9T물고기<NA>22316032-765-4033인천시 중구 내동 94-4인천광역시 중구 신포로 42-137.472424126.6261962만원-3만원일식이자카야 / 오뎅 / 꼬치주차공간없음17:00 - 04:00<NA><NA><NA><NA><NA>3139419202108
4330202108yrXjL8S_xwH2바스버거판교테크노밸리점13494031-628-1944경기도 성남시 분당구 삼평동 670경기도 성남시 분당구 대왕판교로 66037.401115127.106255만원 미만양식브런치 / 버거 / 샌드위치유료주차 가능월-금: 11:00 - 22:00, 토-일: 11:30 - 21:00목: 16:00 - 16:30월-금: 21:00, 토-일: 20:00<NA>수제버거 전문점3.92312311277202108
23684202108483JJS7ECK할머니원조보쌈족발<NA>6149<NA>서울시 강남구 역삼동 696-17서울특별시 강남구 선릉로93길 1037.505463127.0476만원-2만원한식고기 요리<NA><NA><NA><NA><NA><NA><NA>425871202108
기준년월식당ID식당명지점명식당우편번호대표전화번호식당지번주소식당도로명주소식당위도좌표값식당경도좌표값1인당가격만원단위구간값음식대분류명음식소분류명주차구분명식당영업시간값휴식시간내용최종주문가능시간값식당휴일내용메인메뉴내용식당평점값식당리뷰수식당조회수식당방문희망건수대상기준년월
493920210887_vpFOn3L그리핀바JW메리어트 호텔 동대문319802-2276-3344서울시 종로구 종로6가 289-3서울특별시 종로구 청계천로 27937.570061127.0087453만원-4만원주점칵테일 / 와인유료주차 가능18:00 - 02:00<NA><NA><NA>칵테일 바3.91015594410202108
29350202108KZL0Nh10N-3S카페에세이<NA>25429033-661-1253강원도 강릉시 연곡면 영진리 357-30강원도 강릉시 연곡면 영진길 3337.871258128.839939만원 미만카페카페 / 디저트무료주차 가능09:00 - 22:00<NA><NA><NA><NA><NA>3238740202108
28373202108d5PGl_UPSRJn매드포갈릭광주광천점61932062-369-9070광주시 서구 농성동 418-19광주광역시 서구 죽봉대로 8635.160978126.8837832만원-3만원양식이탈리안<NA>11:30 - 22:00<NA>21:30<NA><NA><NA>3290014202108
7746202108c7GXl9awY115줄리아<NA>4550010-6232-1196서울시 중구 을지로3가 344-9서울특별시 중구 수표로 48-1237.565527126.990427만원-2만원중식기타 중식주차공간없음17:00 - 24:00<NA><NA>일기타 중식3.62012130366202108
26523202108lpJd5mbkoj육대장일산대화점10377031-911-7959경기도 고양시 일산서구 대화동 2161경기도 고양시 일산서구 일산로 72737.678224126.751693만원 미만한식탕 / 찌개 / 전골무료주차 가능10:00 - 22:00<NA>20:50<NA><NA><NA>3644865202108
21700202108gdf2O2kqHzou오브제커피하우스<NA>42489010-2880-1986대구시 남구 대명동 526-23대구광역시 남구 현충로1길 2635.833516128.576893만원 미만카페카페 / 디저트주차공간없음12:00 - 24:00<NA><NA>격주 월<NA><NA>4520464202108
15491202108BQ0ywZmadkz6동강오리<NA>216402-492-6717서울시 중랑구 망우동 486-9서울특별시 중랑구 용마산로115길 1037.599178127.099741만원-2만원한식닭 / 오리 요리주차공간없음11:00 - 22:30<NA><NA>화<NA><NA>7414870202108
20378202108OQqWfh3r3KgO60계치킨종로본점319002-734-7788서울시 종로구 관철동 7-4서울특별시 종로구 종로14길 1137.569508126.987048만원-2만원한식닭 / 오리 요리주차공간없음11:00 - 06:00<NA><NA><NA><NA><NA>5221311202108
29737202108GXYGiUteIvp8다온브레드<NA>330502-6160-0645서울시 은평구 진관동 92서울특별시 은평구 연서로 45537.637199126.933672만원 미만카페베이커리주차공간없음10:00 - 20:00<NA><NA>토, 일<NA><NA>3223021202108
23135202108-gMLYgKiix정겨운오뎅집삼성점6166070-8119-0167서울시 강남구 삼성동 152-30서울특별시 강남구 테헤란로81길 5637.510181127.056023만원-2만원일식이자카야 / 오뎅 / 꼬치주차공간없음18:00 - 02:00<NA>00:00일<NA><NA>4299822202108