Overview

Dataset statistics

Number of variables45
Number of observations402
Missing cells2065
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory147.7 KiB
Average record size in memory376.3 B

Variable types

Numeric11
Text20
Boolean7
Unsupported3
Categorical3
DateTime1

Dataset

Description화천군 음식점 목록 데이터를 제공합니다.
Author강원도 화천군
URLhttps://www.data.go.kr/data/15076808/fileData.do

Alerts

어워드_로컬 has constant value ""Constant
트립어드바이저 인기도 has constant value ""Constant
씨트립 인기도 has constant value ""Constant
온라인화 진행 여부 has constant value ""Constant
다국어메뉴판 제공 여부 has constant value ""Constant
테이크아웃여부 is highly imbalanced (50.2%)Imbalance
예약가능여부 is highly imbalanced (73.6%)Imbalance
선결제여부 is highly imbalanced (71.5%)Imbalance
업종(메뉴)정보 has 18 (4.5%) missing valuesMissing
식당 대표전화번호 has 21 (5.2%) missing valuesMissing
도로명주소 has 5 (1.2%) missing valuesMissing
정규휴업일 has 5 (1.2%) missing valuesMissing
어워드_글로벌 has 402 (100.0%) missing valuesMissing
어워드_로컬 has 401 (99.8%) missing valuesMissing
다국어 지원언어 has 402 (100.0%) missing valuesMissing
다국어메뉴판 주소 has 402 (100.0%) missing valuesMissing
식당 홈페이지 has 337 (83.8%) missing valuesMissing
업종정보명-영어 has 18 (4.5%) missing valuesMissing
업종정보명-일본어 has 18 (4.5%) missing valuesMissing
업종정보명-중국어(간체) has 18 (4.5%) missing valuesMissing
도로명주소-영어 has 5 (1.2%) missing valuesMissing
도로명주소-일본어 has 5 (1.2%) missing valuesMissing
도로명주소-중국어(간체) has 5 (1.2%) missing valuesMissing
식당ID has unique valuesUnique
어워드_글로벌 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다국어 지원언어 is an unsupported type, check if it needs cleaning or further analysisUnsupported
다국어메뉴판 주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
식당면적 has 178 (44.3%) zerosZeros
네이버 인기도 has 260 (64.7%) zerosZeros
RTI 인덱스 has 260 (64.7%) zerosZeros
좌석수(입식) has 60 (14.9%) zerosZeros
좌석수(좌식) has 60 (14.9%) zerosZeros

Reproduction

Analysis started2023-12-12 05:39:27.020623
Analysis finished2023-12-12 05:39:28.448948
Duration1.43 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

식당ID
Real number (ℝ)

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443439.15
Minimum1657
Maximum862106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:28.508270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1657
5-th percentile66275.45
Q1280532.5
median362517.5
Q3688556.25
95-th percentile861995.95
Maximum862106
Range860449
Interquartile range (IQR)408023.75

Descriptive statistics

Standard deviation266642.51
Coefficient of variation (CV)0.60130574
Kurtosis-1.2464507
Mean443439.15
Median Absolute Deviation (MAD)218778
Skewness0.20830369
Sum1.7826254 × 108
Variance7.1098227 × 1010
MonotonicityStrictly increasing
2023-12-12T14:39:28.621595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1657 1
 
0.2%
589591 1
 
0.2%
610856 1
 
0.2%
610811 1
 
0.2%
608094 1
 
0.2%
603935 1
 
0.2%
603929 1
 
0.2%
603928 1
 
0.2%
603922 1
 
0.2%
603909 1
 
0.2%
Other values (392) 392
97.5%
ValueCountFrequency (%)
1657 1
0.2%
2395 1
0.2%
7397 1
0.2%
9651 1
0.2%
11307 1
0.2%
12135 1
0.2%
13641 1
0.2%
15825 1
0.2%
16311 1
0.2%
22382 1
0.2%
ValueCountFrequency (%)
862106 1
0.2%
862096 1
0.2%
862087 1
0.2%
862074 1
0.2%
862063 1
0.2%
862060 1
0.2%
862046 1
0.2%
862040 1
0.2%
862032 1
0.2%
862023 1
0.2%

식당명
Text

Distinct400
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:28.794836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length5.9875622
Min length1

Characters and Unicode

Total characters2407
Distinct characters421
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

Unique398 ?
Unique (%)99.0%

Sample

1st row티바두마리치킨 화천산양점
2nd row신전떡볶이화천점
3rd row바삭한옛날통닭
4th row치킨플러스 화천사내점
5th row파더스김밥앤커피
ValueCountFrequency (%)
화천점 28
 
5.6%
강원화천점 9
 
1.8%
사내점 7
 
1.4%
네네치킨 4
 
0.8%
화천사내점 4
 
0.8%
사창리점 3
 
0.6%
bhc치킨 3
 
0.6%
엄마손감자탕 2
 
0.4%
화천 2
 
0.4%
화천2호점 2
 
0.4%
Other values (412) 434
87.1%
2023-12-12T14:39:29.107815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
4.0%
점 88
 
3.7%
천 80
 
3.3%
화 79
 
3.3%
리 50
 
2.1%
식 45
 
1.9%
가 45
 
1.9%
당 40
 
1.7%
이 31
 
1.3%
국 31
 
1.3%
Other values (411) 1822
75.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2222
92.3%
Space Separator 96
 
4.0%
Uppercase Letter 41
 
1.7%
Lowercase Letter 23
 
1.0%
Decimal Number 19
 
0.8%
Other Punctuation 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 88
 
4.0%
천 80
 
3.6%
화 79
 
3.6%
리 50
 
2.3%
식 45
 
2.0%
가 45
 
2.0%
당 40
 
1.8%
이 31
 
1.4%
국 31
 
1.4%
사 28
 
1.3%
Other values (372) 1705
76.7%
Uppercase Letter
ValueCountFrequency (%)
B 8
19.5%
C 5
12.2%
O 4
9.8%
R 3
 
7.3%
H 3
 
7.3%
D 3
 
7.3%
F 3
 
7.3%
E 2
 
4.9%
A 2
 
4.9%
I 2
 
4.9%
Other values (5) 6
14.6%
Lowercase Letter
ValueCountFrequency (%)
f 4
17.4%
e 4
17.4%
n 3
13.0%
m 2
8.7%
a 2
8.7%
o 2
8.7%
c 2
8.7%
t 1
 
4.3%
h 1
 
4.3%
r 1
 
4.3%
Decimal Number
ValueCountFrequency (%)
5 4
21.1%
2 4
21.1%
4 3
15.8%
9 3
15.8%
1 2
10.5%
3 1
 
5.3%
6 1
 
5.3%
7 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
& 2
33.3%
! 2
33.3%
/ 1
16.7%
; 1
16.7%
Space Separator
ValueCountFrequency (%)
96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2222
92.3%
Common 121
 
5.0%
Latin 64
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 88
 
4.0%
천 80
 
3.6%
화 79
 
3.6%
리 50
 
2.3%
식 45
 
2.0%
가 45
 
2.0%
당 40
 
1.8%
이 31
 
1.4%
국 31
 
1.4%
사 28
 
1.3%
Other values (372) 1705
76.7%
Latin
ValueCountFrequency (%)
B 8
 
12.5%
C 5
 
7.8%
f 4
 
6.2%
e 4
 
6.2%
O 4
 
6.2%
R 3
 
4.7%
n 3
 
4.7%
H 3
 
4.7%
D 3
 
4.7%
F 3
 
4.7%
Other values (16) 24
37.5%
Common
ValueCountFrequency (%)
96
79.3%
5 4
 
3.3%
2 4
 
3.3%
4 3
 
2.5%
9 3
 
2.5%
& 2
 
1.7%
! 2
 
1.7%
1 2
 
1.7%
3 1
 
0.8%
/ 1
 
0.8%
Other values (3) 3
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2221
92.3%
ASCII 185
 
7.7%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
51.9%
B 8
 
4.3%
C 5
 
2.7%
f 4
 
2.2%
e 4
 
2.2%
5 4
 
2.2%
2 4
 
2.2%
O 4
 
2.2%
R 3
 
1.6%
n 3
 
1.6%
Other values (29) 50
27.0%
Hangul
ValueCountFrequency (%)
점 88
 
4.0%
천 80
 
3.6%
화 79
 
3.6%
리 50
 
2.3%
식 45
 
2.0%
가 45
 
2.0%
당 40
 
1.8%
이 31
 
1.4%
국 31
 
1.4%
사 28
 
1.3%
Other values (371) 1704
76.7%
Compat Jamo
ValueCountFrequency (%)
ㅕ 1
100.0%

업종(메뉴)정보
Text

MISSING 

Distinct57
Distinct (%)14.8%
Missing18
Missing (%)4.5%
Memory size3.3 KiB
2023-12-12T14:39:29.276462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length2
Mean length2.3697917
Min length1

Characters and Unicode

Total characters910
Distinct characters106
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.9%

Sample

1st row치킨
2nd row떡볶이
3rd row치킨
4th row치킨
5th row분식
ValueCountFrequency (%)
한식 108
28.1%
카페 31
 
8.1%
치킨 31
 
8.1%
중식 25
 
6.5%
육류 23
 
6.0%
분식 14
 
3.6%
족발 11
 
2.9%
닭갈비 10
 
2.6%
순대국 10
 
2.6%
피자 8
 
2.1%
Other values (47) 113
29.4%
2023-12-12T14:39:29.561166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
식 154
 
16.9%
한 110
 
12.1%
치 32
 
3.5%
페 32
 
3.5%
킨 31
 
3.4%
카 31
 
3.4%
국 26
 
2.9%
중 25
 
2.7%
류 23
 
2.5%
육 23
 
2.5%
Other values (96) 423
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 903
99.2%
Other Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
식 154
 
17.1%
한 110
 
12.2%
치 32
 
3.5%
페 32
 
3.5%
킨 31
 
3.4%
카 31
 
3.4%
국 26
 
2.9%
중 25
 
2.8%
류 23
 
2.5%
육 23
 
2.5%
Other values (95) 416
46.1%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 903
99.2%
Common 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
식 154
 
17.1%
한 110
 
12.2%
치 32
 
3.5%
페 32
 
3.5%
킨 31
 
3.4%
카 31
 
3.4%
국 26
 
2.9%
중 25
 
2.8%
류 23
 
2.5%
육 23
 
2.5%
Other values (95) 416
46.1%
Common
ValueCountFrequency (%)
, 7
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 903
99.2%
ASCII 7
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
식 154
 
17.1%
한 110
 
12.2%
치 32
 
3.5%
페 32
 
3.5%
킨 31
 
3.4%
카 31
 
3.4%
국 26
 
2.9%
중 25
 
2.8%
류 23
 
2.5%
육 23
 
2.5%
Other values (95) 416
46.1%
ASCII
ValueCountFrequency (%)
, 7
100.0%

테이크아웃여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
True
358 
False
44 
ValueCountFrequency (%)
True 358
89.1%
False 44
 
10.9%
2023-12-12T14:39:29.676812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

예약가능여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
True
384 
False
 
18
ValueCountFrequency (%)
True 384
95.5%
False 18
 
4.5%
2023-12-12T14:39:29.761833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

선결제여부
Boolean

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
False
382 
True
 
20
ValueCountFrequency (%)
False 382
95.0%
True 20
 
5.0%
2023-12-12T14:39:29.846226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

식당 대표전화번호
Text

MISSING 

Distinct375
Distinct (%)98.4%
Missing21
Missing (%)5.2%
Memory size3.3 KiB
2023-12-12T14:39:30.060695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.018373
Min length12

Characters and Unicode

Total characters4579
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

Unique369 ?
Unique (%)96.9%

Sample

1st row033-442-0926
2nd row033-442-3999
3rd row033-441-8544
4th row033-441-1337
5th row033-442-6689
ValueCountFrequency (%)
033-441-8841 2
 
0.5%
033-442-5839 2
 
0.5%
033-441-5779 2
 
0.5%
033-441-1666 2
 
0.5%
033-442-1245 2
 
0.5%
033-441-7114 2
 
0.5%
033-441-4603 1
 
0.3%
033-441-0977 1
 
0.3%
033-441-4102 1
 
0.3%
033-442-6022 1
 
0.3%
Other values (365) 365
95.8%
2023-12-12T14:39:30.476266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 897
19.6%
4 891
19.5%
- 762
16.6%
0 567
12.4%
2 386
8.4%
1 344
 
7.5%
5 159
 
3.5%
7 158
 
3.5%
9 149
 
3.3%
8 139
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3817
83.4%
Dash Punctuation 762
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 897
23.5%
4 891
23.3%
0 567
14.9%
2 386
10.1%
1 344
 
9.0%
5 159
 
4.2%
7 158
 
4.1%
9 149
 
3.9%
8 139
 
3.6%
6 127
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 762
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4579
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 897
19.6%
4 891
19.5%
- 762
16.6%
0 567
12.4%
2 386
8.4%
1 344
 
7.5%
5 159
 
3.5%
7 158
 
3.5%
9 149
 
3.3%
8 139
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4579
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 897
19.6%
4 891
19.5%
- 762
16.6%
0 567
12.4%
2 386
8.4%
1 344
 
7.5%
5 159
 
3.5%
7 158
 
3.5%
9 149
 
3.3%
8 139
 
3.0%

도로명주소
Text

MISSING 

Distinct342
Distinct (%)86.1%
Missing5
Missing (%)1.2%
Memory size3.3 KiB
2023-12-12T14:39:30.856165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length24
Mean length20.153652
Min length16

Characters and Unicode

Total characters8001
Distinct characters88
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

Unique312 ?
Unique (%)78.6%

Sample

1st row강원도 화천군 상서면 영서로 7717-1
2nd row강원도 화천군 화천읍 상승로 41
3rd row강원도 화천군 상서면 영서로 7723-1
4th row강원도 화천군 사내면 사내로 12
5th row강원도 화천군 상서면 영서로 7708
ValueCountFrequency (%)
강원도 397
19.9%
화천군 397
19.9%
화천읍 205
 
10.3%
사내면 105
 
5.3%
상서면 48
 
2.4%
사내로 40
 
2.0%
중앙로4길 38
 
1.9%
상승로 37
 
1.9%
중앙로 29
 
1.5%
영서로 29
 
1.5%
Other values (315) 669
33.6%
2023-12-12T14:39:31.318498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1605
20.1%
화 666
 
8.3%
천 608
 
7.6%
강 397
 
5.0%
도 397
 
5.0%
군 397
 
5.0%
원 397
 
5.0%
로 370
 
4.6%
1 315
 
3.9%
읍 206
 
2.6%
Other values (78) 2643
33.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5002
62.5%
Space Separator 1605
 
20.1%
Decimal Number 1251
 
15.6%
Dash Punctuation 143
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 666
13.3%
천 608
12.2%
강 397
 
7.9%
도 397
 
7.9%
군 397
 
7.9%
원 397
 
7.9%
로 370
 
7.4%
읍 206
 
4.1%
면 191
 
3.8%
길 185
 
3.7%
Other values (66) 1188
23.8%
Decimal Number
ValueCountFrequency (%)
1 315
25.2%
2 172
13.7%
4 152
12.2%
3 138
11.0%
7 117
 
9.4%
5 85
 
6.8%
6 83
 
6.6%
9 69
 
5.5%
0 61
 
4.9%
8 59
 
4.7%
Space Separator
ValueCountFrequency (%)
1605
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5002
62.5%
Common 2999
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 666
13.3%
천 608
12.2%
강 397
 
7.9%
도 397
 
7.9%
군 397
 
7.9%
원 397
 
7.9%
로 370
 
7.4%
읍 206
 
4.1%
면 191
 
3.8%
길 185
 
3.7%
Other values (66) 1188
23.8%
Common
ValueCountFrequency (%)
1605
53.5%
1 315
 
10.5%
2 172
 
5.7%
4 152
 
5.1%
- 143
 
4.8%
3 138
 
4.6%
7 117
 
3.9%
5 85
 
2.8%
6 83
 
2.8%
9 69
 
2.3%
Other values (2) 120
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5002
62.5%
ASCII 2999
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1605
53.5%
1 315
 
10.5%
2 172
 
5.7%
4 152
 
5.1%
- 143
 
4.8%
3 138
 
4.6%
7 117
 
3.9%
5 85
 
2.8%
6 83
 
2.8%
9 69
 
2.3%
Other values (2) 120
 
4.0%
Hangul
ValueCountFrequency (%)
화 666
13.3%
천 608
12.2%
강 397
 
7.9%
도 397
 
7.9%
군 397
 
7.9%
원 397
 
7.9%
로 370
 
7.4%
읍 206
 
4.1%
면 191
 
3.8%
길 185
 
3.7%
Other values (66) 1188
23.8%

지번주소
Text

Distinct335
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:31.554725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.534826
Min length15

Characters and Unicode

Total characters8255
Distinct characters69
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

Unique294 ?
Unique (%)73.1%

Sample

1st row강원도 화천군 상서면 산양리 738-6
2nd row강원도 화천군 화천읍 하리 101-1
3rd row강원도 화천군 상서면 산양리 738-90
4th row강원도 화천군 사내면 사창리 422-8
5th row강원도 화천군 사내면 사창리 457-76
ValueCountFrequency (%)
강원도 402
20.0%
화천군 402
20.0%
화천읍 208
 
10.3%
하리 164
 
8.1%
사내면 106
 
5.3%
사창리 91
 
4.5%
상서면 50
 
2.5%
산양리 27
 
1.3%
간동면 23
 
1.1%
아리 17
 
0.8%
Other values (362) 525
26.1%
2023-12-12T14:39:31.982178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1614
19.6%
화 617
 
7.5%
천 612
 
7.4%
원 405
 
4.9%
강 403
 
4.9%
도 403
 
4.9%
군 402
 
4.9%
리 401
 
4.9%
- 378
 
4.6%
4 290
 
3.5%
Other values (59) 2730
33.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4645
56.3%
Decimal Number 1618
 
19.6%
Space Separator 1614
 
19.6%
Dash Punctuation 378
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 617
13.3%
천 612
13.2%
원 405
8.7%
강 403
8.7%
도 403
8.7%
군 402
8.7%
리 401
8.6%
읍 210
 
4.5%
사 197
 
4.2%
면 194
 
4.2%
Other values (47) 801
17.2%
Decimal Number
ValueCountFrequency (%)
4 290
17.9%
1 258
15.9%
5 199
12.3%
2 179
11.1%
3 176
10.9%
6 138
8.5%
7 109
 
6.7%
0 102
 
6.3%
8 86
 
5.3%
9 81
 
5.0%
Space Separator
ValueCountFrequency (%)
1614
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 378
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4645
56.3%
Common 3610
43.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 617
13.3%
천 612
13.2%
원 405
8.7%
강 403
8.7%
도 403
8.7%
군 402
8.7%
리 401
8.6%
읍 210
 
4.5%
사 197
 
4.2%
면 194
 
4.2%
Other values (47) 801
17.2%
Common
ValueCountFrequency (%)
1614
44.7%
- 378
 
10.5%
4 290
 
8.0%
1 258
 
7.1%
5 199
 
5.5%
2 179
 
5.0%
3 176
 
4.9%
6 138
 
3.8%
7 109
 
3.0%
0 102
 
2.8%
Other values (2) 167
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4645
56.3%
ASCII 3610
43.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1614
44.7%
- 378
 
10.5%
4 290
 
8.0%
1 258
 
7.1%
5 199
 
5.5%
2 179
 
5.0%
3 176
 
4.9%
6 138
 
3.8%
7 109
 
3.0%
0 102
 
2.8%
Other values (2) 167
 
4.6%
Hangul
ValueCountFrequency (%)
화 617
13.3%
천 612
13.2%
원 405
8.7%
강 403
8.7%
도 403
8.7%
군 402
8.7%
리 401
8.6%
읍 210
 
4.5%
사 197
 
4.2%
면 194
 
4.2%
Other values (47) 801
17.2%

정규휴업일
Text

MISSING 

Distinct90
Distinct (%)22.7%
Missing5
Missing (%)1.2%
Memory size3.3 KiB
2023-12-12T14:39:32.304169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length5.2670025
Min length3

Characters and Unicode

Total characters2091
Distinct characters130
Distinct categories9 ?
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 (%)18.1%

Sample

1st row2, 4주 수요일
2nd row수요일 휴무
3rd row연중무휴
4th row연중무휴
5th row금요일
ValueCountFrequency (%)
연중무휴 187
32.5%
일요일 74
 
12.9%
월요일 48
 
8.3%
휴무 19
 
3.3%
화요일 18
 
3.1%
매월 17
 
3.0%
4주 13
 
2.3%
2 12
 
2.1%
첫째 9
 
1.6%
없음 9
 
1.6%
Other values (98) 169
29.4%
2023-12-12T14:39:32.757583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
일 269
12.9%
휴 227
10.9%
무 224
10.7%
연 194
9.3%
중 194
9.3%
180
 
8.6%
요 174
 
8.3%
월 75
 
3.6%
주 44
 
2.1%
째 38
 
1.8%
Other values (120) 472
22.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1795
85.8%
Space Separator 180
 
8.6%
Decimal Number 49
 
2.3%
Other Punctuation 43
 
2.1%
Close Punctuation 9
 
0.4%
Open Punctuation 9
 
0.4%
Control 4
 
0.2%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 269
15.0%
휴 227
12.6%
무 224
12.5%
연 194
10.8%
중 194
10.8%
요 174
9.7%
월 75
 
4.2%
주 44
 
2.5%
째 38
 
2.1%
매 37
 
2.1%
Other values (105) 319
17.8%
Decimal Number
ValueCountFrequency (%)
2 21
42.9%
4 16
32.7%
1 8
 
16.3%
9 3
 
6.1%
0 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
, 20
46.5%
/ 14
32.6%
. 9
20.9%
Control
ValueCountFrequency (%)
2
50.0%
2
50.0%
Space Separator
ValueCountFrequency (%)
180
100.0%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1795
85.8%
Common 296
 
14.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 269
15.0%
휴 227
12.6%
무 224
12.5%
연 194
10.8%
중 194
10.8%
요 174
9.7%
월 75
 
4.2%
주 44
 
2.5%
째 38
 
2.1%
매 37
 
2.1%
Other values (105) 319
17.8%
Common
ValueCountFrequency (%)
180
60.8%
2 21
 
7.1%
, 20
 
6.8%
4 16
 
5.4%
/ 14
 
4.7%
. 9
 
3.0%
) 9
 
3.0%
( 9
 
3.0%
1 8
 
2.7%
9 3
 
1.0%
Other values (5) 7
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1795
85.8%
ASCII 296
 
14.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
일 269
15.0%
휴 227
12.6%
무 224
12.5%
연 194
10.8%
중 194
10.8%
요 174
9.7%
월 75
 
4.2%
주 44
 
2.5%
째 38
 
2.1%
매 37
 
2.1%
Other values (105) 319
17.8%
ASCII
ValueCountFrequency (%)
180
60.8%
2 21
 
7.1%
, 20
 
6.8%
4 16
 
5.4%
/ 14
 
4.7%
. 9
 
3.0%
) 9
 
3.0%
( 9
 
3.0%
1 8
 
2.7%
9 3
 
1.0%
Other values (5) 7
 
2.4%

식당면적
Real number (ℝ)

ZEROS 

Distinct221
Distinct (%)55.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.066045
Minimum0
Maximum615.31
Zeros178
Zeros (%)44.3%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:32.975331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median25.73
Q369.3225
95-th percentile125.4505
Maximum615.31
Range615.31
Interquartile range (IQR)69.3225

Descriptive statistics

Standard deviation58.454552
Coefficient of variation (CV)1.3895899
Kurtosis25.833105
Mean42.066045
Median Absolute Deviation (MAD)25.73
Skewness3.6035604
Sum16910.55
Variance3416.9347
MonotonicityNot monotonic
2023-12-12T14:39:33.139810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 178
44.3%
40.0 2
 
0.5%
79.3 2
 
0.5%
52.14 2
 
0.5%
21.35 2
 
0.5%
20.34 1
 
0.2%
41.41 1
 
0.2%
55.64 1
 
0.2%
63.34 1
 
0.2%
55.66 1
 
0.2%
Other values (211) 211
52.5%
ValueCountFrequency (%)
0.0 178
44.3%
8.38 1
 
0.2%
9.33 1
 
0.2%
11.05 1
 
0.2%
13.64 1
 
0.2%
14.4 1
 
0.2%
15.35 1
 
0.2%
19.76 1
 
0.2%
20.34 1
 
0.2%
21.35 2
 
0.5%
ValueCountFrequency (%)
615.31 1
0.2%
348.33 1
0.2%
335.58 1
0.2%
268.04 1
0.2%
243.54 1
0.2%
195.06 1
0.2%
190.16 1
0.2%
185.97 1
0.2%
175.09 1
0.2%
170.32 1
0.2%

식당위도
Real number (ℝ)

Distinct389
Distinct (%)96.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.103411
Minimum38.027367
Maximum38.210494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:33.343997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.027367
5-th percentile38.055935
Q138.072025
median38.103787
Q338.105412
95-th percentile38.207285
Maximum38.210494
Range0.1831274
Interquartile range (IQR)0.033387

Descriptive statistics

Standard deviation0.039726522
Coefficient of variation (CV)0.0010425975
Kurtosis1.6810862
Mean38.103411
Median Absolute Deviation (MAD)0.0089567
Skewness1.360651
Sum15317.571
Variance0.0015781965
MonotonicityNot monotonic
2023-12-12T14:39:33.535317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.1040402 4
 
1.0%
38.1048264 3
 
0.7%
38.207682 2
 
0.5%
38.1039583 2
 
0.5%
38.1037897 2
 
0.5%
38.0711719 2
 
0.5%
38.097133 2
 
0.5%
38.0710658 2
 
0.5%
38.1039575 2
 
0.5%
38.104051 2
 
0.5%
Other values (379) 379
94.3%
ValueCountFrequency (%)
38.0273666 1
0.2%
38.0280265 1
0.2%
38.0288329 1
0.2%
38.0288614 1
0.2%
38.0288627 1
0.2%
38.034093 1
0.2%
38.040526 1
0.2%
38.043164 1
0.2%
38.048269 1
0.2%
38.053951 1
0.2%
ValueCountFrequency (%)
38.210494 1
0.2%
38.2104752 1
0.2%
38.2104087 1
0.2%
38.2100988 1
0.2%
38.2100179 1
0.2%
38.209732 1
0.2%
38.2096096 1
0.2%
38.2093821 1
0.2%
38.2091463 1
0.2%
38.2089788 1
0.2%

식당경도
Real number (ℝ)

Distinct388
Distinct (%)96.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.65256
Minimum127.44314
Maximum127.82828
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:33.777615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.44314
5-th percentile127.52028
Q1127.5237
median127.70471
Q3127.706
95-th percentile127.77718
Maximum127.82828
Range0.3851441
Interquartile range (IQR)0.18230198

Descriptive statistics

Standard deviation0.093920415
Coefficient of variation (CV)0.00073575034
Kurtosis-0.91013936
Mean127.65256
Median Absolute Deviation (MAD)0.0128595
Skewness-0.5688427
Sum51316.329
Variance0.0088210444
MonotonicityNot monotonic
2023-12-12T14:39:34.267473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.7052846 4
 
1.0%
127.7057157 3
 
0.7%
127.703879 3
 
0.7%
127.7059781 2
 
0.5%
127.7062228 2
 
0.5%
127.6629439 2
 
0.5%
127.7047581 2
 
0.5%
127.7050125 2
 
0.5%
127.7051399 2
 
0.5%
127.5212212 2
 
0.5%
Other values (378) 378
94.0%
ValueCountFrequency (%)
127.4431389 1
0.2%
127.4438585 1
0.2%
127.4438979 1
0.2%
127.443902 1
0.2%
127.443912 1
0.2%
127.4491567 1
0.2%
127.4520965 1
0.2%
127.452258 1
0.2%
127.46988 1
0.2%
127.4920549 1
0.2%
ValueCountFrequency (%)
127.828283 1
0.2%
127.8219275 1
0.2%
127.8207304 1
0.2%
127.8203527 1
0.2%
127.8202961 1
0.2%
127.8201639 1
0.2%
127.81811 1
0.2%
127.817626 1
0.2%
127.817506 1
0.2%
127.8174882 1
0.2%

대표메뉴
Text

Distinct385
Distinct (%)96.2%
Missing2
Missing (%)0.5%
Memory size3.3 KiB
2023-12-12T14:39:34.630878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length27
Mean length12.02
Min length1

Characters and Unicode

Total characters4808
Distinct characters378
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

Unique374 ?
Unique (%)93.5%

Sample

1st row알마간
2nd row떡볶이, 튀김
3rd row순살치킨, 똥집후라이드
4th row치킨
5th row김밥, 비빔밥
ValueCountFrequency (%)
백반 15
 
1.6%
짬뽕 12
 
1.3%
삼겹살 12
 
1.3%
돼지갈비 12
 
1.3%
닭볶음탕 12
 
1.3%
돈까스 12
 
1.3%
탕수육 11
 
1.2%
순대국 11
 
1.2%
아메리카노 11
 
1.2%
족발 10
 
1.1%
Other values (523) 801
87.2%
2023-12-12T14:39:35.203181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 577
 
12.0%
529
 
11.0%
탕 103
 
2.1%
이 84
 
1.7%
국 82
 
1.7%
치 79
 
1.6%
장 76
 
1.6%
닭 74
 
1.5%
리 71
 
1.5%
비 63
 
1.3%
Other values (368) 3070
63.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3701
77.0%
Other Punctuation 578
 
12.0%
Space Separator 529
 
11.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
탕 103
 
2.8%
이 84
 
2.3%
국 82
 
2.2%
치 79
 
2.1%
장 76
 
2.1%
닭 74
 
2.0%
리 71
 
1.9%
비 63
 
1.7%
갈 61
 
1.6%
백 59
 
1.6%
Other values (365) 2949
79.7%
Other Punctuation
ValueCountFrequency (%)
, 577
99.8%
. 1
 
0.2%
Space Separator
ValueCountFrequency (%)
529
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3701
77.0%
Common 1107
 
23.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
탕 103
 
2.8%
이 84
 
2.3%
국 82
 
2.2%
치 79
 
2.1%
장 76
 
2.1%
닭 74
 
2.0%
리 71
 
1.9%
비 63
 
1.7%
갈 61
 
1.6%
백 59
 
1.6%
Other values (365) 2949
79.7%
Common
ValueCountFrequency (%)
, 577
52.1%
529
47.8%
. 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3701
77.0%
ASCII 1107
 
23.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 577
52.1%
529
47.8%
. 1
 
0.1%
Hangul
ValueCountFrequency (%)
탕 103
 
2.8%
이 84
 
2.3%
국 82
 
2.2%
치 79
 
2.1%
장 76
 
2.1%
닭 74
 
2.0%
리 71
 
1.9%
비 63
 
1.7%
갈 61
 
1.6%
백 59
 
1.6%
Other values (365) 2949
79.7%

어워드_글로벌
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing402
Missing (%)100.0%
Memory size3.7 KiB

어워드_로컬
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)100.0%
Missing401
Missing (%)99.8%
Memory size3.3 KiB
2023-12-12T14:39:35.358683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters6
Distinct characters6
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

Unique1 ?
Unique (%)100.0%

Sample

1st row블루리본 1
ValueCountFrequency (%)
블루리본 1
50.0%
1 1
50.0%
2023-12-12T14:39:35.634459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
블 1
16.7%
루 1
16.7%
리 1
16.7%
본 1
16.7%
1
16.7%
1 1
16.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
66.7%
Space Separator 1
 
16.7%
Decimal Number 1
 
16.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
블 1
25.0%
루 1
25.0%
리 1
25.0%
본 1
25.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
66.7%
Common 2
33.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
블 1
25.0%
루 1
25.0%
리 1
25.0%
본 1
25.0%
Common
ValueCountFrequency (%)
1
50.0%
1 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
66.7%
ASCII 2
33.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
블 1
25.0%
루 1
25.0%
리 1
25.0%
본 1
25.0%
ASCII
ValueCountFrequency (%)
1
50.0%
1 1
50.0%

트립어드바이저 인기도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
402 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 402
100.0%

Length

2023-12-12T14:39:35.823666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:39:35.952432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 402
100.0%

씨트립 인기도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
0
402 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 402
100.0%

Length

2023-12-12T14:39:36.096596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:39:36.251391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 402
100.0%

네이버 인기도
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.71512438
Minimum0
Maximum5
Zeros260
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:36.444925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30.72
95-th percentile5
Maximum5
Range5
Interquartile range (IQR)0.72

Descriptive statistics

Standard deviation1.4563974
Coefficient of variation (CV)2.0365652
Kurtosis3.2056542
Mean0.71512438
Median Absolute Deviation (MAD)0
Skewness2.1336039
Sum287.48
Variance2.1210934
MonotonicityNot monotonic
2023-12-12T14:39:36.645694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
0.0 260
64.7%
0.2 36
 
9.0%
0.72 28
 
7.0%
5.0 27
 
6.7%
1.24 12
 
3.0%
1.76 11
 
2.7%
2.28 8
 
2.0%
3.32 6
 
1.5%
3.84 5
 
1.2%
2.8 4
 
1.0%
Other values (2) 5
 
1.2%
ValueCountFrequency (%)
0.0 260
64.7%
0.2 36
 
9.0%
0.72 28
 
7.0%
1.24 12
 
3.0%
1.76 11
 
2.7%
2.28 8
 
2.0%
2.8 4
 
1.0%
3.32 6
 
1.5%
3.84 5
 
1.2%
4.36 4
 
1.0%
ValueCountFrequency (%)
5.0 27
6.7%
4.88 1
 
0.2%
4.36 4
 
1.0%
3.84 5
 
1.2%
3.32 6
 
1.5%
2.8 4
 
1.0%
2.28 8
 
2.0%
1.76 11
 
2.7%
1.24 12
3.0%
0.72 28
7.0%

RTI 인덱스
Real number (ℝ)

ZEROS 

Distinct96
Distinct (%)23.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.52119403
Minimum0
Maximum2.74
Zeros260
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:36.813836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31.02
95-th percentile2.1985
Maximum2.74
Range2.74
Interquartile range (IQR)1.02

Descriptive statistics

Standard deviation0.78935977
Coefficient of variation (CV)1.5145219
Kurtosis0.14809875
Mean0.52119403
Median Absolute Deviation (MAD)0
Skewness1.2233418
Sum209.52
Variance0.62308885
MonotonicityNot monotonic
2023-12-12T14:39:37.002929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 260
64.7%
1.02 4
 
1.0%
1.0 4
 
1.0%
0.78 3
 
0.7%
0.62 3
 
0.7%
1.25 3
 
0.7%
2.66 3
 
0.7%
1.2 3
 
0.7%
1.68 3
 
0.7%
2.14 3
 
0.7%
Other values (86) 113
28.1%
ValueCountFrequency (%)
0.0 260
64.7%
0.57 1
 
0.2%
0.58 1
 
0.2%
0.6 1
 
0.2%
0.61 2
 
0.5%
0.62 3
 
0.7%
0.63 1
 
0.2%
0.68 1
 
0.2%
0.69 2
 
0.5%
0.73 1
 
0.2%
ValueCountFrequency (%)
2.74 1
 
0.2%
2.69 1
 
0.2%
2.66 3
0.7%
2.58 1
 
0.2%
2.53 1
 
0.2%
2.52 1
 
0.2%
2.45 1
 
0.2%
2.44 2
0.5%
2.41 2
0.5%
2.4 2
0.5%

온라인화 진행 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size534.0 B
False
402 
ValueCountFrequency (%)
False 402
100.0%
2023-12-12T14:39:37.181421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어메뉴판 제공 여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size534.0 B
False
402 
ValueCountFrequency (%)
False 402
100.0%
2023-12-12T14:39:37.285173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

다국어 지원언어
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing402
Missing (%)100.0%
Memory size3.7 KiB

다국어메뉴판 주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing402
Missing (%)100.0%
Memory size3.7 KiB

수용태세 지수
Real number (ℝ)

Distinct84
Distinct (%)20.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.275995
Minimum0.52
Maximum3.77
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:37.416126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.52
5-th percentile2.8505
Q13.15
median3.325
Q33.46
95-th percentile3.7
Maximum3.77
Range3.25
Interquartile range (IQR)0.31

Descriptive statistics

Standard deviation0.29022501
Coefficient of variation (CV)0.088591406
Kurtosis22.718846
Mean3.275995
Median Absolute Deviation (MAD)0.135
Skewness-3.0511699
Sum1316.95
Variance0.084230554
MonotonicityNot monotonic
2023-12-12T14:39:37.578226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.46 92
22.9%
3.22 37
 
9.2%
3.7 19
 
4.7%
3.34 17
 
4.2%
3.28 12
 
3.0%
3.15 12
 
3.0%
3.42 12
 
3.0%
3.07 10
 
2.5%
3.39 10
 
2.5%
3.24 9
 
2.2%
Other values (74) 172
42.8%
ValueCountFrequency (%)
0.52 1
0.2%
1.58 1
0.2%
2.19 1
0.2%
2.27 1
0.2%
2.39 1
0.2%
2.5 1
0.2%
2.61 1
0.2%
2.63 2
0.5%
2.69 1
0.2%
2.73 1
0.2%
ValueCountFrequency (%)
3.77 1
 
0.2%
3.75 1
 
0.2%
3.72 1
 
0.2%
3.71 1
 
0.2%
3.7 19
4.7%
3.69 1
 
0.2%
3.68 1
 
0.2%
3.66 2
 
0.5%
3.62 1
 
0.2%
3.61 1
 
0.2%

좌석수(입식)
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.181592
Minimum0
Maximum200
Zeros60
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:37.757365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median24
Q336.75
95-th percentile73.9
Maximum200
Range200
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation25.121934
Coefficient of variation (CV)0.89143063
Kurtosis8.5943675
Mean28.181592
Median Absolute Deviation (MAD)12
Skewness2.1173509
Sum11329
Variance631.11158
MonotonicityNot monotonic
2023-12-12T14:39:37.921670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
14.9%
20 41
 
10.2%
16 29
 
7.2%
32 23
 
5.7%
24 21
 
5.2%
12 20
 
5.0%
28 20
 
5.0%
36 14
 
3.5%
8 14
 
3.5%
40 12
 
3.0%
Other values (42) 148
36.8%
ValueCountFrequency (%)
0 60
14.9%
4 4
 
1.0%
8 14
 
3.5%
10 8
 
2.0%
12 20
 
5.0%
13 1
 
0.2%
14 8
 
2.0%
15 4
 
1.0%
16 29
7.2%
17 1
 
0.2%
ValueCountFrequency (%)
200 1
 
0.2%
160 1
 
0.2%
150 1
 
0.2%
140 1
 
0.2%
100 3
0.7%
92 1
 
0.2%
88 1
 
0.2%
80 6
1.5%
78 1
 
0.2%
76 2
 
0.5%

좌석수(좌식)
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.181592
Minimum0
Maximum200
Zeros60
Zeros (%)14.9%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:38.100452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q112
median24
Q336.75
95-th percentile73.9
Maximum200
Range200
Interquartile range (IQR)24.75

Descriptive statistics

Standard deviation25.121934
Coefficient of variation (CV)0.89143063
Kurtosis8.5943675
Mean28.181592
Median Absolute Deviation (MAD)12
Skewness2.1173509
Sum11329
Variance631.11158
MonotonicityNot monotonic
2023-12-12T14:39:38.271794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 60
14.9%
20 41
 
10.2%
16 29
 
7.2%
32 23
 
5.7%
24 21
 
5.2%
12 20
 
5.0%
28 20
 
5.0%
36 14
 
3.5%
8 14
 
3.5%
40 12
 
3.0%
Other values (42) 148
36.8%
ValueCountFrequency (%)
0 60
14.9%
4 4
 
1.0%
8 14
 
3.5%
10 8
 
2.0%
12 20
 
5.0%
13 1
 
0.2%
14 8
 
2.0%
15 4
 
1.0%
16 29
7.2%
17 1
 
0.2%
ValueCountFrequency (%)
200 1
 
0.2%
160 1
 
0.2%
150 1
 
0.2%
140 1
 
0.2%
100 3
0.7%
92 1
 
0.2%
88 1
 
0.2%
80 6
1.5%
78 1
 
0.2%
76 2
 
0.5%

베리어프리여부
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
False
340 
True
62 
ValueCountFrequency (%)
False 340
84.6%
True 62
 
15.4%
2023-12-12T14:39:38.420090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

주차가능여부
Boolean

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size534.0 B
True
244 
False
158 
ValueCountFrequency (%)
True 244
60.7%
False 158
39.3%
2023-12-12T14:39:38.511769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

식당근처랜드마크정보
Categorical

Distinct31
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
산천어커피박물관
124 
곡운구곡 (강원평화지역 국가지질공원)
92 
북한강
38 
칠성전망대
28 
월남 파병용사 만남의 장 (구, 베트남 참전용사 만남의 장)
15 
Other values (26)
105 

Length

Max length33
Median length25
Mean length10.952736
Min length3

Unique

Unique7 ?
Unique (%)1.7%

Sample

1st row칠성전망대
2nd row산천어커피박물관
3rd row칠성전망대
4th row곡운구곡 (강원평화지역 국가지질공원)
5th row곡운구곡 (강원평화지역 국가지질공원)

Common Values

ValueCountFrequency (%)
산천어커피박물관 124
30.8%
곡운구곡 (강원평화지역 국가지질공원) 92
22.9%
북한강 38
 
9.5%
칠성전망대 28
 
7.0%
월남 파병용사 만남의 장 (구, 베트남 참전용사 만남의 장) 15
 
3.7%
감성마을 이외수 문학관 12
 
3.0%
산타우체국 10
 
2.5%
88공원 9
 
2.2%
광덕계곡 7
 
1.7%
화천문화원 7
 
1.7%
Other values (21) 60
14.9%

Length

2023-12-12T14:39:38.640356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
산천어커피박물관 124
16.1%
국가지질공원 94
12.2%
강원평화지역 94
12.2%
곡운구곡 92
11.9%
북한강 38
 
4.9%
만남의 30
 
3.9%
장 30
 
3.9%
칠성전망대 28
 
3.6%
화천 19
 
2.5%
베트남 15
 
1.9%
Other values (37) 207
26.8%

랜드마크위도
Real number (ℝ)

Distinct31
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.100608
Minimum38.043251
Maximum38.256068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:38.784833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38.043251
5-th percentile38.053261
Q138.05443
median38.105963
Q338.10618
95-th percentile38.210897
Maximum38.256068
Range0.2128176
Interquartile range (IQR)0.0517499

Descriptive statistics

Standard deviation0.042468375
Coefficient of variation (CV)0.0011146377
Kurtosis1.3913684
Mean38.100608
Median Absolute Deviation (MAD)0.0087215
Skewness1.137306
Sum15316.444
Variance0.0018035629
MonotonicityNot monotonic
2023-12-12T14:39:38.914069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
38.1059631 124
30.8%
38.0532606 92
22.9%
38.1061798 38
 
9.5%
38.2108973 28
 
7.0%
38.0544299 15
 
3.7%
38.1665775 12
 
3.0%
38.1071491 10
 
2.5%
38.0967208 9
 
2.2%
38.1088016 7
 
1.7%
38.0763152 7
 
1.7%
Other values (21) 60
14.9%
ValueCountFrequency (%)
38.0432506 1
 
0.2%
38.0482928 1
 
0.2%
38.0532606 92
22.9%
38.0544299 15
 
3.7%
38.0558622 4
 
1.0%
38.0631007 2
 
0.5%
38.0760052 6
 
1.5%
38.0763152 7
 
1.7%
38.0902398 3
 
0.7%
38.0949851 2
 
0.5%
ValueCountFrequency (%)
38.2560682 1
 
0.2%
38.2108973 28
7.0%
38.1898634 1
 
0.2%
38.1665775 12
3.0%
38.1605548 5
 
1.2%
38.1452425 3
 
0.7%
38.1344236 1
 
0.2%
38.1342176 2
 
0.5%
38.1150071 6
 
1.5%
38.1095184 4
 
1.0%

랜드마크경도
Real number (ℝ)

Distinct31
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.65611
Minimum127.43944
Maximum127.83407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T14:39:39.042442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.43944
5-th percentile127.51628
Q1127.53872
median127.70372
Q3127.70464
95-th percentile127.77761
Maximum127.83407
Range0.3946325
Interquartile range (IQR)0.1659221

Descriptive statistics

Standard deviation0.090296629
Coefficient of variation (CV)0.00070734281
Kurtosis-0.66260108
Mean127.65611
Median Absolute Deviation (MAD)0.0092101
Skewness-0.4854534
Sum51317.755
Variance0.0081534813
MonotonicityNot monotonic
2023-12-12T14:39:39.184606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
127.7037225 124
30.8%
127.5387169 92
22.9%
127.7081776 38
 
9.5%
127.6642396 28
 
7.0%
127.8340677 15
 
3.7%
127.5162822 12
 
3.0%
127.706 10
 
2.5%
127.7640395 9
 
2.2%
127.7047223 7
 
1.7%
127.4817103 7
 
1.7%
Other values (21) 60
14.9%
ValueCountFrequency (%)
127.4394352 6
 
1.5%
127.4817103 7
 
1.7%
127.5162822 12
 
3.0%
127.5377728 1
 
0.2%
127.5387169 92
22.9%
127.5804848 1
 
0.2%
127.6042633 5
 
1.2%
127.6638496 2
 
0.5%
127.6642396 28
 
7.0%
127.6772213 2
 
0.5%
ValueCountFrequency (%)
127.8340677 15
3.7%
127.7993307 1
 
0.2%
127.7902939 4
 
1.0%
127.777927 1
 
0.2%
127.7715055 2
 
0.5%
127.7640395 9
2.2%
127.7437761 1
 
0.2%
127.7413956 3
 
0.7%
127.7129326 4
 
1.0%
127.7086445 6
 
1.5%

식당 홈페이지
Text

MISSING 

Distinct56
Distinct (%)86.2%
Missing337
Missing (%)83.8%
Memory size3.3 KiB
2023-12-12T14:39:39.398353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length40
Mean length27.353846
Min length21

Characters and Unicode

Total characters1778
Distinct characters43
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)73.8%

Sample

1st rowhttp://m-home.co.kr/fathersgimbabncoffee/
2nd rowhttp://www.gopizza.kr
3rd rowhttp://instagram.com/theroll_ceo
4th rowhttp://www.paris.co.kr/
5th rowhttp://www.paris.co.kr/
ValueCountFrequency (%)
http://www.bhc.co.kr 3
 
4.6%
http://hosigi9922.com 2
 
3.1%
http://www.ediya.com 2
 
3.1%
http://www.bkfood.kr 2
 
3.1%
http://www.paris.co.kr 2
 
3.1%
http://www.cknia.com 2
 
3.1%
http://www.pizzaetang.com 2
 
3.1%
http://www.nenechicken.com 2
 
3.1%
https://m.facebook.com/ehdgml1980/photos/?mt_nav=1 1
 
1.5%
http://0334427676.modoo.at 1
 
1.5%
Other values (46) 46
70.8%
2023-12-12T14:39:39.775961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 186
 
10.5%
t 164
 
9.2%
o 145
 
8.2%
. 136
 
7.6%
w 107
 
6.0%
h 93
 
5.2%
a 82
 
4.6%
p 82
 
4.6%
c 78
 
4.4%
m 69
 
3.9%
Other values (33) 636
35.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1311
73.7%
Other Punctuation 389
 
21.9%
Decimal Number 68
 
3.8%
Connector Punctuation 6
 
0.3%
Dash Punctuation 2
 
0.1%
Math Symbol 2
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 164
12.5%
o 145
 
11.1%
w 107
 
8.2%
h 93
 
7.1%
a 82
 
6.3%
p 82
 
6.3%
c 78
 
5.9%
m 69
 
5.3%
n 54
 
4.1%
e 51
 
3.9%
Other values (16) 386
29.4%
Decimal Number
ValueCountFrequency (%)
9 15
22.1%
2 13
19.1%
3 6
 
8.8%
0 6
 
8.8%
6 6
 
8.8%
8 6
 
8.8%
1 5
 
7.4%
7 4
 
5.9%
4 4
 
5.9%
5 3
 
4.4%
Other Punctuation
ValueCountFrequency (%)
/ 186
47.8%
. 136
35.0%
: 65
 
16.7%
? 2
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1311
73.7%
Common 467
 
26.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 164
12.5%
o 145
 
11.1%
w 107
 
8.2%
h 93
 
7.1%
a 82
 
6.3%
p 82
 
6.3%
c 78
 
5.9%
m 69
 
5.3%
n 54
 
4.1%
e 51
 
3.9%
Other values (16) 386
29.4%
Common
ValueCountFrequency (%)
/ 186
39.8%
. 136
29.1%
: 65
 
13.9%
9 15
 
3.2%
2 13
 
2.8%
_ 6
 
1.3%
3 6
 
1.3%
0 6
 
1.3%
6 6
 
1.3%
8 6
 
1.3%
Other values (7) 22
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1778
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 186
 
10.5%
t 164
 
9.2%
o 145
 
8.2%
. 136
 
7.6%
w 107
 
6.0%
h 93
 
5.2%
a 82
 
4.6%
p 82
 
4.6%
c 78
 
4.4%
m 69
 
3.9%
Other values (33) 636
35.8%

등록일시
Date

Distinct401
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-10-07 10:24:35
Maximum2021-01-15 14:38:03
2023-12-12T14:39:39.933596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:39:40.080070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

식당명-로마자
Text

Distinct400
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:40.421090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length36
Mean length18.681592
Min length3

Characters and Unicode

Total characters7510
Distinct characters66
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

Unique398 ?
Unique (%)99.0%

Sample

1st rowTiba Dumari Chicken HwacheonsanyangJeom
2nd rowSinjeon Tteokbokki HwacheonJeom
3rd rowBasakan Yennal Tongdak
4th rowCHICKEN PLUS HwacheonsanaeJeom
5th rowFATHER'S GIMBAP & PREMIUM DESSERT CAFÉ
ValueCountFrequency (%)
sikdang 38
 
4.0%
hwacheonjeom 30
 
3.1%
chicken 25
 
2.6%
garden 20
 
2.1%
coffee 15
 
1.6%
hwacheon 12
 
1.2%
café 12
 
1.2%
dakgalbi 11
 
1.1%
gangwonhwacheonjeom 10
 
1.0%
sutbul 10
 
1.0%
Other values (562) 778
81.0%
2023-12-12T14:39:40.892267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 783
 
10.4%
n 692
 
9.2%
o 591
 
7.9%
e 574
 
7.6%
559
 
7.4%
g 410
 
5.5%
i 274
 
3.6%
u 251
 
3.3%
k 236
 
3.1%
m 233
 
3.1%
Other values (56) 2907
38.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 5522
73.5%
Uppercase Letter 1391
 
18.5%
Space Separator 559
 
7.4%
Decimal Number 19
 
0.3%
Other Punctuation 18
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 783
14.2%
n 692
12.5%
o 591
10.7%
e 574
10.4%
g 410
 
7.4%
i 274
 
5.0%
u 251
 
4.5%
k 236
 
4.3%
m 233
 
4.2%
h 207
 
3.7%
Other values (16) 1271
23.0%
Uppercase Letter
ValueCountFrequency (%)
S 185
13.3%
G 127
 
9.1%
H 124
 
8.9%
C 104
 
7.5%
J 98
 
7.0%
D 78
 
5.6%
B 73
 
5.2%
E 64
 
4.6%
A 59
 
4.2%
M 58
 
4.2%
Other values (15) 421
30.3%
Decimal Number
ValueCountFrequency (%)
2 4
21.1%
5 4
21.1%
4 3
15.8%
9 3
15.8%
1 2
10.5%
7 1
 
5.3%
6 1
 
5.3%
3 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
' 7
38.9%
& 7
38.9%
! 2
 
11.1%
/ 1
 
5.6%
; 1
 
5.6%
Space Separator
ValueCountFrequency (%)
559
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 6913
92.1%
Common 597
 
7.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 783
 
11.3%
n 692
 
10.0%
o 591
 
8.5%
e 574
 
8.3%
g 410
 
5.9%
i 274
 
4.0%
u 251
 
3.6%
k 236
 
3.4%
m 233
 
3.4%
h 207
 
3.0%
Other values (41) 2662
38.5%
Common
ValueCountFrequency (%)
559
93.6%
' 7
 
1.2%
& 7
 
1.2%
2 4
 
0.7%
5 4
 
0.7%
4 3
 
0.5%
9 3
 
0.5%
1 2
 
0.3%
! 2
 
0.3%
7 1
 
0.2%
Other values (5) 5
 
0.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7497
99.8%
None 13
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 783
 
10.4%
n 692
 
9.2%
o 591
 
7.9%
e 574
 
7.7%
559
 
7.5%
g 410
 
5.5%
i 274
 
3.7%
u 251
 
3.3%
k 236
 
3.1%
m 233
 
3.1%
Other values (54) 2894
38.6%
None
ValueCountFrequency (%)
é 10
76.9%
É 3
 
23.1%

업종정보명-영어
Text

MISSING 

Distinct57
Distinct (%)14.8%
Missing18
Missing (%)4.5%
Memory size3.3 KiB
2023-12-12T14:39:41.165387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length22
Mean length12.114583
Min length3

Characters and Unicode

Total characters4652
Distinct characters48
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.9%

Sample

1st rowFried Chicken
2nd rowStir-fried Rice Cake
3rd rowFried Chicken
4th rowFried Chicken
5th rowSchool food
ValueCountFrequency (%)
cuisine 138
18.9%
korean 110
15.1%
chicken 49
 
6.7%
fried 31
 
4.3%
cafe 31
 
4.3%
soup 26
 
3.6%
chinese 25
 
3.4%
meat 24
 
3.3%
school 14
 
1.9%
food 14
 
1.9%
Other values (67) 267
36.6%
2023-12-12T14:39:41.618032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 613
13.2%
i 495
 
10.6%
n 352
 
7.6%
349
 
7.5%
o 289
 
6.2%
c 283
 
6.1%
a 267
 
5.7%
s 239
 
5.1%
r 228
 
4.9%
u 205
 
4.4%
Other values (38) 1332
28.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3696
79.4%
Uppercase Letter 519
 
11.2%
Space Separator 349
 
7.5%
Close Punctuation 26
 
0.6%
Open Punctuation 26
 
0.6%
Other Punctuation 19
 
0.4%
Dash Punctuation 17
 
0.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 613
16.6%
i 495
13.4%
n 352
9.5%
o 289
7.8%
c 283
7.7%
a 267
7.2%
s 239
 
6.5%
r 228
 
6.2%
u 205
 
5.5%
h 120
 
3.2%
Other values (14) 605
16.4%
Uppercase Letter
ValueCountFrequency (%)
K 110
21.2%
S 96
18.5%
C 80
15.4%
B 54
10.4%
F 54
10.4%
P 28
 
5.4%
M 25
 
4.8%
R 17
 
3.3%
N 13
 
2.5%
D 11
 
2.1%
Other values (8) 31
 
6.0%
Other Punctuation
ValueCountFrequency (%)
' 13
68.4%
, 6
31.6%
Space Separator
ValueCountFrequency (%)
349
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4215
90.6%
Common 437
 
9.4%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 613
14.5%
i 495
11.7%
n 352
 
8.4%
o 289
 
6.9%
c 283
 
6.7%
a 267
 
6.3%
s 239
 
5.7%
r 228
 
5.4%
u 205
 
4.9%
h 120
 
2.8%
Other values (32) 1124
26.7%
Common
ValueCountFrequency (%)
349
79.9%
) 26
 
5.9%
( 26
 
5.9%
- 17
 
3.9%
' 13
 
3.0%
, 6
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4652
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 613
13.2%
i 495
 
10.6%
n 352
 
7.6%
349
 
7.5%
o 289
 
6.2%
c 283
 
6.1%
a 267
 
5.7%
s 239
 
5.1%
r 228
 
4.9%
u 205
 
4.4%
Other values (38) 1332
28.6%

업종정보명-일본어
Text

MISSING 

Distinct57
Distinct (%)14.8%
Missing18
Missing (%)4.5%
Memory size3.3 KiB
2023-12-12T14:39:41.837369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length2
Mean length3.7760417
Min length2

Characters and Unicode

Total characters1450
Distinct characters117
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.9%

Sample

1st rowチキン
2nd rowトッポッキ
3rd rowチキン
4th rowチキン
5th row粉食
ValueCountFrequency (%)
韓食 108
28.1%
カフェ（コーヒーショップ） 31
 
8.1%
チキン 31
 
8.1%
中華 25
 
6.5%
肉類 23
 
6.0%
粉食 14
 
3.6%
豚足 11
 
2.9%
タッカルビ 10
 
2.6%
スンデスープ 10
 
2.6%
ピザ 8
 
2.1%
Other values (47) 113
29.4%
2023-12-12T14:39:42.198562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
食 127
 
8.8%
韓 110
 
7.6%
ー 106
 
7.3%
ン 59
 
4.1%
カ 55
 
3.8%
ッ 53
 
3.7%
プ 52
 
3.6%
肉 42
 
2.9%
チ 38
 
2.6%
コ 37
 
2.6%
Other values (107) 771
53.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1276
88.0%
Modifier Letter 106
 
7.3%
Open Punctuation 31
 
2.1%
Close Punctuation 31
 
2.1%
Other Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
食 127
 
10.0%
韓 110
 
8.6%
ン 59
 
4.6%
カ 55
 
4.3%
ッ 53
 
4.2%
プ 52
 
4.1%
肉 42
 
3.3%
チ 38
 
3.0%
コ 37
 
2.9%
フ 34
 
2.7%
Other values (103) 669
52.4%
Modifier Letter
ValueCountFrequency (%)
ー 106
100.0%
Open Punctuation
ValueCountFrequency (%)
（ 31
100.0%
Close Punctuation
ValueCountFrequency (%)
） 31
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Katakana 697
48.1%
Han 528
36.4%
Common 174
 
12.0%
Hiragana 51
 
3.5%

Most frequent character per script

Han
ValueCountFrequency (%)
食 127
24.1%
韓 110
20.8%
肉 42
 
8.0%
華 25
 
4.7%
中 25
 
4.7%
類 23
 
4.4%
豚 20
 
3.8%
粉 14
 
2.7%
料 12
 
2.3%
理 12
 
2.3%
Other values (40) 118
22.3%
Katakana
ValueCountFrequency (%)
ン 59
 
8.5%
カ 55
 
7.9%
ッ 53
 
7.6%
プ 52
 
7.5%
チ 38
 
5.5%
コ 37
 
5.3%
フ 34
 
4.9%
キ 34
 
4.9%
ョ 33
 
4.7%
ェ 32
 
4.6%
Other values (37) 270
38.7%
Hiragana
ValueCountFrequency (%)
ば 6
11.8%
そ 6
11.8%
ぜ 6
11.8%
う 4
7.8%
ょ 4
7.8%
じ 4
7.8%
ど 4
7.8%
の 3
 
5.9%
き 3
 
5.9%
お 2
 
3.9%
Other values (6) 9
17.6%
Common
ValueCountFrequency (%)
ー 106
60.9%
（ 31
 
17.8%
） 31
 
17.8%
, 6
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Katakana 803
55.4%
CJK 528
36.4%
None 62
 
4.3%
Hiragana 51
 
3.5%
ASCII 6
 
0.4%

Most frequent character per block

CJK
ValueCountFrequency (%)
食 127
24.1%
韓 110
20.8%
肉 42
 
8.0%
華 25
 
4.7%
中 25
 
4.7%
類 23
 
4.4%
豚 20
 
3.8%
粉 14
 
2.7%
料 12
 
2.3%
理 12
 
2.3%
Other values (40) 118
22.3%
Katakana
ValueCountFrequency (%)
ー 106
 
13.2%
ン 59
 
7.3%
カ 55
 
6.8%
ッ 53
 
6.6%
プ 52
 
6.5%
チ 38
 
4.7%
コ 37
 
4.6%
フ 34
 
4.2%
キ 34
 
4.2%
ョ 33
 
4.1%
Other values (38) 302
37.6%
None
ValueCountFrequency (%)
（ 31
50.0%
） 31
50.0%
Hiragana
ValueCountFrequency (%)
ば 6
11.8%
そ 6
11.8%
ぜ 6
11.8%
う 4
7.8%
ょ 4
7.8%
じ 4
7.8%
ど 4
7.8%
の 3
 
5.9%
き 3
 
5.9%
お 2
 
3.9%
Other values (6) 9
17.6%
ASCII
ValueCountFrequency (%)
, 6
100.0%

업종정보명-중국어(간체)
Text

MISSING 

Distinct57
Distinct (%)14.8%
Missing18
Missing (%)4.5%
Memory size3.3 KiB
2023-12-12T14:39:42.395162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length2
Mean length2.6119792
Min length1

Characters and Unicode

Total characters1003
Distinct characters110
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)4.9%

Sample

1st row炸鸡
2nd row辣炒年糕
3rd row炸鸡
4th row炸鸡
5th row小吃
ValueCountFrequency (%)
韩餐 108
28.1%
咖啡馆 31
 
8.1%
炸鸡 31
 
8.1%
中式料理 25
 
6.5%
肉类 23
 
6.0%
小吃 14
 
3.6%
酱猪蹄 11
 
2.9%
铁板鸡 10
 
2.6%
血肠汤 10
 
2.6%
比萨 8
 
2.1%
Other values (47) 113
29.4%
2023-12-12T14:39:42.721221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
韩 110
 
11.0%
餐 110
 
11.0%
鸡 49
 
4.9%
肉 41
 
4.1%
理 34
 
3.4%
料 33
 
3.3%
炸 32
 
3.2%
咖 31
 
3.1%
馆 31
 
3.1%
汤 31
 
3.1%
Other values (100) 501
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 997
99.4%
Other Punctuation 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
韩 110
 
11.0%
餐 110
 
11.0%
鸡 49
 
4.9%
肉 41
 
4.1%
理 34
 
3.4%
料 33
 
3.3%
炸 32
 
3.2%
咖 31
 
3.1%
馆 31
 
3.1%
汤 31
 
3.1%
Other values (99) 495
49.6%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 997
99.4%
Common 6
 
0.6%

Most frequent character per script

Han
ValueCountFrequency (%)
韩 110
 
11.0%
餐 110
 
11.0%
鸡 49
 
4.9%
肉 41
 
4.1%
理 34
 
3.4%
料 33
 
3.3%
炸 32
 
3.2%
咖 31
 
3.1%
馆 31
 
3.1%
汤 31
 
3.1%
Other values (99) 495
49.6%
Common
ValueCountFrequency (%)
, 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
CJK 996
99.3%
ASCII 6
 
0.6%
CJK Compat Ideographs 1
 
0.1%

Most frequent character per block

CJK
ValueCountFrequency (%)
韩 110
 
11.0%
餐 110
 
11.0%
鸡 49
 
4.9%
肉 41
 
4.1%
理 34
 
3.4%
料 33
 
3.3%
炸 32
 
3.2%
咖 31
 
3.1%
馆 31
 
3.1%
汤 31
 
3.1%
Other values (98) 494
49.6%
ASCII
ValueCountFrequency (%)
, 6
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
料 1
100.0%

도로명주소-영어
Text

MISSING 

Distinct334
Distinct (%)84.1%
Missing5
Missing (%)1.2%
Memory size3.3 KiB
2023-12-12T14:39:42.939937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length59
Mean length53.443325
Min length35

Characters and Unicode

Total characters21217
Distinct characters43
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

Unique299 ?
Unique (%)75.3%

Sample

1st row7717-1 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do
2nd row41 Sangseung-ro Hwacheon-eup Hwacheon-gun Gangwon-do
3rd row7723-1 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do
4th row12 Sanae-ro Sanae-myeon Hwacheon-gun Gangwon-do
5th row7708 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do
ValueCountFrequency (%)
hwacheon-gun 397
18.6%
gangwon-do 397
18.6%
hwacheon-eup 205
 
9.6%
jungang-ro 129
 
6.1%
sanae-myeon 105
 
4.9%
sanae-ro 70
 
3.3%
sangseo-myeon 48
 
2.3%
4-gil 47
 
2.2%
sangseung-ro 42
 
2.0%
2-gil 29
 
1.4%
Other values (290) 661
31.0%
2023-12-12T14:39:43.583603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 2757
13.0%
o 2187
 
10.3%
- 1866
 
8.8%
a 1756
 
8.3%
1733
 
8.2%
g 1464
 
6.9%
e 1391
 
6.6%
w 1074
 
5.1%
u 829
 
3.9%
h 687
 
3.2%
Other values (33) 5473
25.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 14812
69.8%
Dash Punctuation 1866
 
8.8%
Space Separator 1733
 
8.2%
Uppercase Letter 1584
 
7.5%
Decimal Number 1222
 
5.8%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2757
18.6%
o 2187
14.8%
a 1756
11.9%
g 1464
9.9%
e 1391
9.4%
w 1074
 
7.3%
u 829
 
5.6%
h 687
 
4.6%
c 611
 
4.1%
d 429
 
2.9%
Other values (10) 1627
11.0%
Uppercase Letter
ValueCountFrequency (%)
H 622
39.3%
G 438
27.7%
S 293
18.5%
J 129
 
8.1%
Y 36
 
2.3%
P 35
 
2.2%
C 10
 
0.6%
D 7
 
0.4%
M 7
 
0.4%
N 4
 
0.3%
Decimal Number
ValueCountFrequency (%)
1 309
25.3%
2 165
13.5%
4 152
12.4%
3 133
10.9%
7 113
 
9.2%
5 84
 
6.9%
6 81
 
6.6%
9 68
 
5.6%
0 60
 
4.9%
8 57
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 1866
100.0%
Space Separator
ValueCountFrequency (%)
1733
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 16396
77.3%
Common 4821
 
22.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2757
16.8%
o 2187
13.3%
a 1756
10.7%
g 1464
8.9%
e 1391
8.5%
w 1074
 
6.6%
u 829
 
5.1%
h 687
 
4.2%
H 622
 
3.8%
c 611
 
3.7%
Other values (21) 3018
18.4%
Common
ValueCountFrequency (%)
- 1866
38.7%
1733
35.9%
1 309
 
6.4%
2 165
 
3.4%
4 152
 
3.2%
3 133
 
2.8%
7 113
 
2.3%
5 84
 
1.7%
6 81
 
1.7%
9 68
 
1.4%
Other values (2) 117
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21217
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 2757
13.0%
o 2187
 
10.3%
- 1866
 
8.8%
a 1756
 
8.3%
1733
 
8.2%
g 1464
 
6.9%
e 1391
 
6.6%
w 1074
 
5.1%
u 829
 
3.9%
h 687
 
3.2%
Other values (33) 5473
25.8%

도로명주소-일본어
Text

MISSING 

Distinct334
Distinct (%)84.1%
Missing5
Missing (%)1.2%
Memory size3.3 KiB
2023-12-12T14:39:43.868864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length26.196474
Min length14

Characters and Unicode

Total characters10400
Distinct characters71
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique299 ?
Unique (%)75.3%

Sample

1st row江原道 ファチョン郡 サンソ面 ヨンソロ7717-1
2nd row江原道 ファチョン郡 ファチョン邑 サンスンロ41
3rd row江原道 ファチョン郡 サンソ面 ヨンソロ7723-1
4th row江原道 ファチョン郡 サネ面 サネロ12
5th row江原道 ファチョン郡 サンソ面 ヨンソロ7708
ValueCountFrequency (%)
江原道 397
25.1%
ファチョン郡 397
25.1%
ファチョン邑 205
12.9%
サネ面 105
 
6.6%
サンソ面 48
 
3.0%
カンドン面 23
 
1.5%
チュンアンロ4ギル12 16
 
1.0%
ハナム面 15
 
0.9%
チュンアンロ4ギル11 6
 
0.4%
サンスンロ41 4
 
0.3%
Other values (329) 368
23.2%
2023-12-12T14:39:44.425222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
11.4%
ン 1180
 
11.3%
チ 750
 
7.2%
フ 665
 
6.4%
ァ 665
 
6.4%
ョ 642
 
6.2%
江 397
 
3.8%
郡 397
 
3.8%
原 397
 
3.8%
道 397
 
3.8%
Other values (61) 3723
35.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7852
75.5%
Decimal Number 1222
 
11.8%
Space Separator 1187
 
11.4%
Dash Punctuation 139
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 1180
15.0%
チ 750
 
9.6%
フ 665
 
8.5%
ァ 665
 
8.5%
ョ 642
 
8.2%
江 397
 
5.1%
郡 397
 
5.1%
原 397
 
5.1%
道 397
 
5.1%
ロ 367
 
4.7%
Other values (49) 1995
25.4%
Decimal Number
ValueCountFrequency (%)
1 309
25.3%
2 165
13.5%
4 152
12.4%
3 133
10.9%
7 113
 
9.2%
5 84
 
6.9%
6 81
 
6.6%
9 68
 
5.6%
0 60
 
4.9%
8 57
 
4.7%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Katakana 5868
56.4%
Common 2548
24.5%
Han 1984
 
19.1%

Most frequent character per script

Katakana
ValueCountFrequency (%)
ン 1180
20.1%
チ 750
12.8%
フ 665
11.3%
ァ 665
11.3%
ョ 642
10.9%
ロ 367
 
6.3%
サ 288
 
4.9%
ル 199
 
3.4%
ギ 175
 
3.0%
ネ 175
 
3.0%
Other values (43) 762
13.0%
Common
ValueCountFrequency (%)
1187
46.6%
1 309
 
12.1%
2 165
 
6.5%
4 152
 
6.0%
- 139
 
5.5%
3 133
 
5.2%
7 113
 
4.4%
5 84
 
3.3%
6 81
 
3.2%
9 68
 
2.7%
Other values (2) 117
 
4.6%
Han
ValueCountFrequency (%)
江 397
20.0%
郡 397
20.0%
原 397
20.0%
道 397
20.0%
邑 205
10.3%
面 191
9.6%

Most occurring blocks

ValueCountFrequency (%)
Katakana 5868
56.4%
ASCII 2548
24.5%
CJK 1984
 
19.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
46.6%
1 309
 
12.1%
2 165
 
6.5%
4 152
 
6.0%
- 139
 
5.5%
3 133
 
5.2%
7 113
 
4.4%
5 84
 
3.3%
6 81
 
3.2%
9 68
 
2.7%
Other values (2) 117
 
4.6%
Katakana
ValueCountFrequency (%)
ン 1180
20.1%
チ 750
12.8%
フ 665
11.3%
ァ 665
11.3%
ョ 642
10.9%
ロ 367
 
6.3%
サ 288
 
4.9%
ル 199
 
3.4%
ギ 175
 
3.0%
ネ 175
 
3.0%
Other values (43) 762
13.0%
CJK
ValueCountFrequency (%)
江 397
20.0%
郡 397
20.0%
原 397
20.0%
道 397
20.0%
邑 205
10.3%
面 191
9.6%

도로명주소-중국어(간체)
Text

MISSING 

Distinct334
Distinct (%)84.1%
Missing5
Missing (%)1.2%
Memory size3.3 KiB
2023-12-12T14:39:44.627549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length29
Mean length24.06801
Min length11

Characters and Unicode

Total characters9555
Distinct characters61
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

Unique299 ?
Unique (%)75.3%

Sample

1st row江原道 华川郡 上西面 Yeongseo路7717-1
2nd row江原道 华川郡 华川邑 Sangseung路41
3rd row江原道 华川郡 上西面 Yeongseo路7723-1
4th row江原道 华川郡 史内面 Sanae路12
5th row江原道 华川郡 上西面 Yeongseo路7708
ValueCountFrequency (%)
江原道 397
25.1%
华川郡 397
25.1%
华川邑 205
12.9%
史内面 105
 
6.6%
上西面 48
 
3.0%
看东面 23
 
1.5%
jungang路4街12 16
 
1.0%
下南面 15
 
0.9%
jungang路4街11 6
 
0.4%
sangseung路41 4
 
0.3%
Other values (329) 368
23.2%
2023-12-12T14:39:44.974280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1187
 
12.4%
华 602
 
6.3%
川 602
 
6.3%
n 559
 
5.9%
a 446
 
4.7%
g 424
 
4.4%
原 397
 
4.2%
江 397
 
4.2%
郡 397
 
4.2%
道 397
 
4.2%
Other values (51) 4147
43.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4107
43.0%
Lowercase Letter 2506
26.2%
Decimal Number 1222
 
12.8%
Space Separator 1187
 
12.4%
Uppercase Letter 394
 
4.1%
Dash Punctuation 139
 
1.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 559
22.3%
a 446
17.8%
g 424
16.9%
e 240
9.6%
u 227
9.1%
o 167
 
6.7%
s 101
 
4.0%
h 85
 
3.4%
w 75
 
3.0%
y 37
 
1.5%
Other values (10) 145
 
5.8%
Other Letter
ValueCountFrequency (%)
华 602
14.7%
川 602
14.7%
原 397
9.7%
江 397
9.7%
郡 397
9.7%
道 397
9.7%
路 362
8.8%
邑 205
 
5.0%
面 191
 
4.7%
街 175
 
4.3%
Other values (8) 382
9.3%
Uppercase Letter
ValueCountFrequency (%)
S 140
35.5%
J 129
32.7%
Y 36
 
9.1%
P 35
 
8.9%
G 18
 
4.6%
C 10
 
2.5%
D 7
 
1.8%
M 7
 
1.8%
H 5
 
1.3%
N 4
 
1.0%
Decimal Number
ValueCountFrequency (%)
1 309
25.3%
2 165
13.5%
4 152
12.4%
3 133
10.9%
7 113
 
9.2%
5 84
 
6.9%
6 81
 
6.6%
9 68
 
5.6%
0 60
 
4.9%
8 57
 
4.7%
Space Separator
ValueCountFrequency (%)
1187
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 139
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 4107
43.0%
Latin 2900
30.4%
Common 2548
26.7%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 559
19.3%
a 446
15.4%
g 424
14.6%
e 240
8.3%
u 227
7.8%
o 167
 
5.8%
S 140
 
4.8%
J 129
 
4.4%
s 101
 
3.5%
h 85
 
2.9%
Other values (21) 382
13.2%
Han
ValueCountFrequency (%)
华 602
14.7%
川 602
14.7%
原 397
9.7%
江 397
9.7%
郡 397
9.7%
道 397
9.7%
路 362
8.8%
邑 205
 
5.0%
面 191
 
4.7%
街 175
 
4.3%
Other values (8) 382
9.3%
Common
ValueCountFrequency (%)
1187
46.6%
1 309
 
12.1%
2 165
 
6.5%
4 152
 
6.0%
- 139
 
5.5%
3 133
 
5.2%
7 113
 
4.4%
5 84
 
3.3%
6 81
 
3.2%
9 68
 
2.7%
Other values (2) 117
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5448
57.0%
CJK 4107
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1187
21.8%
n 559
 
10.3%
a 446
 
8.2%
g 424
 
7.8%
1 309
 
5.7%
e 240
 
4.4%
u 227
 
4.2%
o 167
 
3.1%
2 165
 
3.0%
4 152
 
2.8%
Other values (33) 1572
28.9%
CJK
ValueCountFrequency (%)
华 602
14.7%
川 602
14.7%
原 397
9.7%
江 397
9.7%
郡 397
9.7%
道 397
9.7%
路 362
8.8%
邑 205
 
5.0%
面 191
 
4.7%
街 175
 
4.3%
Other values (8) 382
9.3%

지번주소-영어
Text

Distinct334
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:45.198025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length54
Mean length50.131841
Min length35

Characters and Unicode

Total characters20153
Distinct characters42
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

Unique292 ?
Unique (%)72.6%

Sample

1st row738-6 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do
2nd row101-1 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do
3rd row738-90 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do
4th row422-8 Sachang-ri Sanae-myeon Hwacheon-gun Gangwon-do
5th row457-76 Sachang-ri Sanae-myeon Hwacheon-gun Gangwon-do
ValueCountFrequency (%)
hwacheon-gun 402
20.0%
gangwon-do 402
20.0%
hwacheon-eup 208
10.4%
ha-ri 164
 
8.2%
sanae-myeon 106
 
5.3%
sachang-ri 91
 
4.5%
sangseo-myeon 50
 
2.5%
sanyang-ri 27
 
1.3%
gandong-myeon 23
 
1.1%
a-ri 17
 
0.8%
Other values (356) 516
25.7%
2023-12-12T14:39:45.630908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
n 2437
12.1%
- 1983
 
9.8%
a 1793
 
8.9%
o 1738
 
8.6%
1604
 
8.0%
e 1216
 
6.0%
g 1033
 
5.1%
w 1029
 
5.1%
H 789
 
3.9%
h 718
 
3.6%
Other values (32) 5813
28.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 13350
66.2%
Dash Punctuation 1983
 
9.8%
Decimal Number 1610
 
8.0%
Uppercase Letter 1606
 
8.0%
Space Separator 1604
 
8.0%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
n 2437
18.3%
a 1793
13.4%
o 1738
13.0%
e 1216
9.1%
g 1033
7.7%
w 1029
7.7%
h 718
 
5.4%
c 712
 
5.3%
u 645
 
4.8%
d 438
 
3.3%
Other values (8) 1591
11.9%
Uppercase Letter
ValueCountFrequency (%)
H 789
49.1%
G 448
27.9%
S 291
 
18.1%
D 21
 
1.3%
A 17
 
1.1%
O 10
 
0.6%
J 9
 
0.6%
Y 7
 
0.4%
B 6
 
0.4%
W 4
 
0.2%
Other values (2) 4
 
0.2%
Decimal Number
ValueCountFrequency (%)
4 290
18.0%
1 252
15.7%
5 199
12.4%
2 177
11.0%
3 176
10.9%
6 138
8.6%
7 109
 
6.8%
0 102
 
6.3%
8 86
 
5.3%
9 81
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 1983
100.0%
Space Separator
ValueCountFrequency (%)
1604
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 14956
74.2%
Common 5197
 
25.8%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2437
16.3%
a 1793
12.0%
o 1738
11.6%
e 1216
8.1%
g 1033
 
6.9%
w 1029
 
6.9%
H 789
 
5.3%
h 718
 
4.8%
c 712
 
4.8%
u 645
 
4.3%
Other values (20) 2846
19.0%
Common
ValueCountFrequency (%)
- 1983
38.2%
1604
30.9%
4 290
 
5.6%
1 252
 
4.8%
5 199
 
3.8%
2 177
 
3.4%
3 176
 
3.4%
6 138
 
2.7%
7 109
 
2.1%
0 102
 
2.0%
Other values (2) 167
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20153
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
n 2437
12.1%
- 1983
 
9.8%
a 1793
 
8.9%
o 1738
 
8.6%
1604
 
8.0%
e 1216
 
6.0%
g 1033
 
5.1%
w 1029
 
5.1%
H 789
 
3.9%
h 718
 
3.6%
Other values (32) 5813
28.8%

지번주소-일본어
Text

Distinct334
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:45.861508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length25.243781
Min length14

Characters and Unicode

Total characters10148
Distinct characters62
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique292 ?
Unique (%)72.6%

Sample

1st row江原道 ファチョン郡 サンソ面 サンヤン里738-6
2nd row江原道 ファチョン郡 ファチョン邑 ハ里101-1
3rd row江原道 ファチョン郡 サンソ面 サンヤン里738-90
4th row江原道 ファチョン郡 サネ面 サチャン里422-8
5th row江原道 ファチョン郡 サネ面 サチャン里457-76
ValueCountFrequency (%)
江原道 402
25.0%
ファチョン郡 402
25.0%
ファチョン邑 208
12.9%
サネ面 106
 
6.6%
サンソ面 50
 
3.1%
カンドン面 23
 
1.4%
ハナム面 15
 
0.9%
ハ里44-31 10
 
0.6%
ハ里48-2 7
 
0.4%
ハ里42-3 4
 
0.2%
Other values (330) 382
23.7%
2023-12-12T14:39:46.270988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1207
 
11.9%
ン 916
 
9.0%
チ 712
 
7.0%
ァ 627
 
6.2%
ョ 621
 
6.1%
フ 616
 
6.1%
江 402
 
4.0%
道 402
 
4.0%
郡 402
 
4.0%
原 402
 
4.0%
Other values (52) 3841
37.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6954
68.5%
Decimal Number 1610
 
15.9%
Space Separator 1207
 
11.9%
Dash Punctuation 377
 
3.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 916
13.2%
チ 712
10.2%
ァ 627
9.0%
ョ 621
8.9%
フ 616
8.9%
江 402
 
5.8%
道 402
 
5.8%
郡 402
 
5.8%
原 402
 
5.8%
里 399
 
5.7%
Other values (40) 1455
20.9%
Decimal Number
ValueCountFrequency (%)
4 290
18.0%
1 252
15.7%
5 199
12.4%
2 177
11.0%
3 176
10.9%
6 138
8.6%
7 109
 
6.8%
0 102
 
6.3%
8 86
 
5.3%
9 81
 
5.0%
Space Separator
ValueCountFrequency (%)
1207
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%

Most occurring scripts

ValueCountFrequency (%)
Katakana 4545
44.8%
Common 3194
31.5%
Han 2409
23.7%

Most frequent character per script

Katakana
ValueCountFrequency (%)
ン 916
20.2%
チ 712
15.7%
ァ 627
13.8%
ョ 621
13.7%
フ 616
13.6%
サ 288
 
6.3%
ハ 179
 
3.9%
ネ 106
 
2.3%
ャ 91
 
2.0%
ソ 51
 
1.1%
Other values (33) 338
 
7.4%
Common
ValueCountFrequency (%)
1207
37.8%
- 377
 
11.8%
4 290
 
9.1%
1 252
 
7.9%
5 199
 
6.2%
2 177
 
5.5%
3 176
 
5.5%
6 138
 
4.3%
7 109
 
3.4%
0 102
 
3.2%
Other values (2) 167
 
5.2%
Han
ValueCountFrequency (%)
江 402
16.7%
道 402
16.7%
郡 402
16.7%
原 402
16.7%
里 399
16.6%
邑 208
8.6%
面 194
8.1%

Most occurring blocks

ValueCountFrequency (%)
Katakana 4545
44.8%
ASCII 3194
31.5%
CJK 2409
23.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1207
37.8%
- 377
 
11.8%
4 290
 
9.1%
1 252
 
7.9%
5 199
 
6.2%
2 177
 
5.5%
3 176
 
5.5%
6 138
 
4.3%
7 109
 
3.4%
0 102
 
3.2%
Other values (2) 167
 
5.2%
Katakana
ValueCountFrequency (%)
ン 916
20.2%
チ 712
15.7%
ァ 627
13.8%
ョ 621
13.7%
フ 616
13.6%
サ 288
 
6.3%
ハ 179
 
3.9%
ネ 106
 
2.3%
ャ 91
 
2.0%
ソ 51
 
1.1%
Other values (33) 338
 
7.4%
CJK
ValueCountFrequency (%)
江 402
16.7%
道 402
16.7%
郡 402
16.7%
原 402
16.7%
里 399
16.6%
邑 208
8.6%
面 194
8.1%

지번주소-중국어(간체)
Text

Distinct334
Distinct (%)83.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T14:39:46.495355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length19.457711
Min length11

Characters and Unicode

Total characters7822
Distinct characters70
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

Unique292 ?
Unique (%)72.6%

Sample

1st row江原道 华川郡 上西面 山阳里738-6
2nd row江原道 华川郡 华川邑 下里101-1
3rd row江原道 华川郡 上西面 山阳里738-90
4th row江原道 华川郡 史内面 史仓里422-8
5th row江原道 华川郡 史内面 史仓里457-76
ValueCountFrequency (%)
江原道 402
25.0%
华川郡 402
25.0%
华川邑 208
13.0%
史内面 106
 
6.6%
上西面 50
 
3.1%
看东面 23
 
1.4%
下南面 15
 
0.9%
下里44-31 10
 
0.6%
下里48-2 7
 
0.4%
下里43-57 4
 
0.2%
Other values (329) 379
23.6%
2023-12-12T14:39:46.811934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1204
15.4%
川 612
 
7.8%
华 610
 
7.8%
原 404
 
5.2%
郡 402
 
5.1%
江 402
 
5.1%
道 402
 
5.1%
里 399
 
5.1%
- 377
 
4.8%
4 290
 
3.7%
Other values (60) 2720
34.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4623
59.1%
Decimal Number 1610
 
20.6%
Space Separator 1204
 
15.4%
Dash Punctuation 377
 
4.8%
Lowercase Letter 7
 
0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
川 612
13.2%
华 610
13.2%
原 404
8.7%
郡 402
8.7%
江 402
8.7%
道 402
8.7%
里 399
8.6%
邑 210
 
4.5%
史 197
 
4.3%
面 194
 
4.2%
Other values (42) 791
17.1%
Decimal Number
ValueCountFrequency (%)
4 290
18.0%
1 252
15.7%
5 199
12.4%
2 177
11.0%
3 176
10.9%
6 138
8.6%
7 109
 
6.8%
0 102
 
6.3%
8 86
 
5.3%
9 81
 
5.0%
Lowercase Letter
ValueCountFrequency (%)
o 2
28.6%
e 2
28.6%
n 1
14.3%
g 1
14.3%
s 1
14.3%
Space Separator
ValueCountFrequency (%)
1204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%
Uppercase Letter
ValueCountFrequency (%)
Y 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 4623
59.1%
Common 3191
40.8%
Latin 8
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
川 612
13.2%
华 610
13.2%
原 404
8.7%
郡 402
8.7%
江 402
8.7%
道 402
8.7%
里 399
8.6%
邑 210
 
4.5%
史 197
 
4.3%
面 194
 
4.2%
Other values (42) 791
17.1%
Common
ValueCountFrequency (%)
1204
37.7%
- 377
 
11.8%
4 290
 
9.1%
1 252
 
7.9%
5 199
 
6.2%
2 177
 
5.5%
3 176
 
5.5%
6 138
 
4.3%
7 109
 
3.4%
0 102
 
3.2%
Other values (2) 167
 
5.2%
Latin
ValueCountFrequency (%)
o 2
25.0%
e 2
25.0%
Y 1
12.5%
n 1
12.5%
g 1
12.5%
s 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
CJK 4613
59.0%
ASCII 3199
40.9%
CJK Compat Ideographs 10
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1204
37.6%
- 377
 
11.8%
4 290
 
9.1%
1 252
 
7.9%
5 199
 
6.2%
2 177
 
5.5%
3 176
 
5.5%
6 138
 
4.3%
7 109
 
3.4%
0 102
 
3.2%
Other values (8) 175
 
5.5%
CJK
ValueCountFrequency (%)
川 612
13.3%
华 610
13.2%
原 404
8.8%
郡 402
8.7%
江 402
8.7%
道 402
8.7%
里 399
8.6%
邑 210
 
4.6%
史 197
 
4.3%
面 194
 
4.2%
Other values (40) 781
16.9%
CJK Compat Ideographs
ValueCountFrequency (%)
利 9
90.0%
論 1
 
10.0%

영업시간정보
Text

Distinct223
Distinct (%)55.6%
Missing1
Missing (%)0.2%
Memory size3.3 KiB
2023-12-12T14:39:47.086883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length117
Median length117
Mean length111.74314
Min length83

Characters and Unicode

Total characters44809
Distinct characters28
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

Unique154 ?
Unique (%)38.4%

Sample

1st rowFRI:14:00~22:00\nMON:14:00~22:00\nSAT:11:00~22:00\nSUN:11:00~22:00\nTHU:14:00~22:00\nTUE:14:00~22:00\nWED:14:00~22:00
2nd rowFRI:11:00~21:00\nMON:11:00~21:00\nSAT:11:00~21:00\nSUN:11:00~21:00\nTHU:11:00~21:00\nTUE:11:00~21:00
3rd rowFRI:03:00~23:30\nMON:03:00~23:30\nSAT:00:00~12:00\nSUN:00:00~12:00\nTHU:03:00~23:30\nTUE:03:00~23:30\nWED:03:00~23:30
4th rowFRI:09:00~23:00\nMON:09:00~23:00\nSAT:09:00~23:00\nSUN:09:00~23:00\nTHU:09:00~23:00\nTUE:09:00~23:00\nWED:09:00~23:00
5th rowMON:10:00~20:00\nSAT:10:00~20:00\nSUN:10:00~20:00\nTHU:10:00~20:00\nTUE:10:00~20:00\nWED:10:00~20:00
ValueCountFrequency (%)
fri:10:00~22:00\nmon:10:00~22:00\nsat:10:00~22:00\nsun:10:00~22:00\nthu:10:00~22:00\ntue:10:00~22:00\nwed:10:00~22:00 20
 
5.0%
fri:10:00~21:00\nmon:10:00~21:00\nsat:10:00~21:00\nsun:10:00~21:00\nthu:10:00~21:00\ntue:10:00~21:00\nwed:10:00~21:00 12
 
3.0%
fri:11:00~22:00\nmon:11:00~22:00\nsat:11:00~22:00\nsun:11:00~22:00\nthu:11:00~22:00\ntue:11:00~22:00\nwed:11:00~22:00 11
 
2.7%
fri:10:00~20:00\nmon:10:00~20:00\nsat:10:00~20:00\nsun:10:00~20:00\nthu:10:00~20:00\ntue:10:00~20:00\nwed:10:00~20:00 10
 
2.5%
fri:11:00~20:00\nmon:11:00~20:00\nsat:11:00~20:00\nsun:11:00~20:00\nthu:11:00~20:00\ntue:11:00~20:00\nwed:11:00~20:00 9
 
2.2%
fri:11:00~21:00\nmon:11:00~21:00\nsat:11:00~21:00\nsun:11:00~21:00\nthu:11:00~21:00\ntue:11:00~21:00\nwed:11:00~21:00 9
 
2.2%
fri:09:00~21:00\nmon:09:00~21:00\nsat:09:00~21:00\nsun:09:00~21:00\nthu:09:00~21:00\ntue:09:00~21:00\nwed:09:00~21:00 6
 
1.5%
fri:11:00~23:00\nmon:11:00~23:00\nsat:11:00~23:00\nsun:11:00~23:00\nthu:11:00~23:00\ntue:11:00~23:00\nwed:11:00~23:00 6
 
1.5%
fri:08:00~21:00\nmon:08:00~21:00\nsat:08:00~21:00\nsun:08:00~21:00\nthu:08:00~21:00\ntue:08:00~21:00\nwed:08:00~21:00 6
 
1.5%
fri:09:00~20:00\nmon:09:00~20:00\nsat:09:00~20:00\nsun:09:00~20:00\nthu:09:00~20:00\ntue:09:00~20:00\nwed:09:00~20:00 5
 
1.2%
Other values (213) 307
76.6%
2023-12-12T14:39:47.432433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 12442
27.8%
: 8049
18.0%
1 3723
 
8.3%
2 2726
 
6.1%
~ 2683
 
6.0%
n 2282
 
5.1%
\ 2282
 
5.1%
T 1188
 
2.7%
U 1127
 
2.5%
3 923
 
2.1%
Other values (18) 7384
16.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21464
47.9%
Other Punctuation 10331
23.1%
Uppercase Letter 8049
 
18.0%
Math Symbol 2683
 
6.0%
Lowercase Letter 2282
 
5.1%

Most frequent character per category

Uppercase Letter
ValueCountFrequency (%)
T 1188
14.8%
U 1127
14.0%
E 790
9.8%
S 731
9.1%
N 699
8.7%
R 400
 
5.0%
I 400
 
5.0%
F 400
 
5.0%
H 398
 
4.9%
D 396
 
4.9%
Other values (4) 1520
18.9%
Decimal Number
ValueCountFrequency (%)
0 12442
58.0%
1 3723
 
17.3%
2 2726
 
12.7%
3 923
 
4.3%
9 539
 
2.5%
7 337
 
1.6%
8 303
 
1.4%
6 246
 
1.1%
5 167
 
0.8%
4 58
 
0.3%
Other Punctuation
ValueCountFrequency (%)
: 8049
77.9%
\ 2282
 
22.1%
Math Symbol
ValueCountFrequency (%)
~ 2683
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 2282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34478
76.9%
Latin 10331
 
23.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
n 2282
22.1%
T 1188
11.5%
U 1127
10.9%
E 790
 
7.6%
S 731
 
7.1%
N 699
 
6.8%
R 400
 
3.9%
I 400
 
3.9%
F 400
 
3.9%
H 398
 
3.9%
Other values (5) 1916
18.5%
Common
ValueCountFrequency (%)
0 12442
36.1%
: 8049
23.3%
1 3723
 
10.8%
2 2726
 
7.9%
~ 2683
 
7.8%
\ 2282
 
6.6%
3 923
 
2.7%
9 539
 
1.6%
7 337
 
1.0%
8 303
 
0.9%
Other values (3) 471
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44809
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 12442
27.8%
: 8049
18.0%
1 3723
 
8.3%
2 2726
 
6.1%
~ 2683
 
6.0%
n 2282
 
5.1%
\ 2282
 
5.1%
T 1188
 
2.7%
U 1127
 
2.5%
3 923
 
2.1%
Other values (18) 7384
16.5%

Sample

식당ID식당명업종(메뉴)정보테이크아웃여부예약가능여부선결제여부식당 대표전화번호도로명주소지번주소정규휴업일식당면적식당위도식당경도대표메뉴어워드_글로벌어워드_로컬트립어드바이저 인기도씨트립 인기도네이버 인기도RTI 인덱스온라인화 진행 여부다국어메뉴판 제공 여부다국어 지원언어다국어메뉴판 주소수용태세 지수좌석수(입식)좌석수(좌식)베리어프리여부주차가능여부식당근처랜드마크정보랜드마크위도랜드마크경도식당 홈페이지등록일시식당명-로마자업종정보명-영어업종정보명-일본어업종정보명-중국어(간체)도로명주소-영어도로명주소-일본어도로명주소-중국어(간체)지번주소-영어지번주소-일본어지번주소-중국어(간체)영업시간정보
01657티바두마리치킨 화천산양점치킨YYN033-442-0926강원도 화천군 상서면 영서로 7717-1강원도 화천군 상서면 산양리 738-62, 4주 수요일55.6638.207343127.662486알마간<NA><NA>000.00.0NN<NA><NA>3.423636NY칠성전망대38.210897127.66424<NA>2020-10-14 16:10:54Tiba Dumari Chicken HwacheonsanyangJeomFried Chickenチキン炸鸡7717-1 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 ヨンソロ7717-1江原道 华川郡 上西面 Yeongseo路7717-1738-6 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 サンヤン里738-6江原道 华川郡 上西面 山阳里738-6FRI:14:00~22:00\nMON:14:00~22:00\nSAT:11:00~22:00\nSUN:11:00~22:00\nTHU:14:00~22:00\nTUE:14:00~22:00\nWED:14:00~22:00
12395신전떡볶이화천점떡볶이YYN033-442-3999강원도 화천군 화천읍 상승로 41강원도 화천군 화천읍 하리 101-1수요일 휴무0.038.104826127.703879떡볶이, 튀김<NA><NA>000.00.0NN<NA><NA>3.332626NY산천어커피박물관38.105963127.703722<NA>2020-10-13 16:43:31Sinjeon Tteokbokki HwacheonJeomStir-fried Rice Cakeトッポッキ辣炒年糕41 Sangseung-ro Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 サンスンロ41江原道 华川郡 华川邑 Sangseung路41101-1 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 ハ里101-1江原道 华川郡 华川邑 下里101-1FRI:11:00~21:00\nMON:11:00~21:00\nSAT:11:00~21:00\nSUN:11:00~21:00\nTHU:11:00~21:00\nTUE:11:00~21:00
27397바삭한옛날통닭치킨YYN033-441-8544강원도 화천군 상서면 영서로 7723-1강원도 화천군 상서면 산양리 738-90연중무휴50.6638.208022127.662679순살치킨, 똥집후라이드<NA><NA>000.00.0NN<NA><NA>3.282020NY칠성전망대38.210897127.66424<NA>2020-10-17 18:57:09Basakan Yennal TongdakFried Chickenチキン炸鸡7723-1 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 ヨンソロ7723-1江原道 华川郡 上西面 Yeongseo路7723-1738-90 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 サンヤン里738-90江原道 华川郡 上西面 山阳里738-90FRI:03:00~23:30\nMON:03:00~23:30\nSAT:00:00~12:00\nSUN:00:00~12:00\nTHU:03:00~23:30\nTUE:03:00~23:30\nWED:03:00~23:30
39651치킨플러스 화천사내점치킨YYN033-441-1337강원도 화천군 사내면 사내로 12강원도 화천군 사내면 사창리 422-8연중무휴37.1938.07059127.523143치킨<NA><NA>000.20.61NN<NA><NA>3.241616NY곡운구곡 (강원평화지역 국가지질공원)38.053261127.538717<NA>2020-10-16 18:11:12CHICKEN PLUS HwacheonsanaeJeomFried Chickenチキン炸鸡12 Sanae-ro Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 サネロ12江原道 华川郡 史内面 Sanae路12422-8 Sachang-ri Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 サチャン里422-8江原道 华川郡 史内面 史仓里422-8FRI:09:00~23:00\nMON:09:00~23:00\nSAT:09:00~23:00\nSUN:09:00~23:00\nTHU:09:00~23:00\nTUE:09:00~23:00\nWED:09:00~23:00
411307파더스김밥앤커피분식YYN033-442-6689<NA>강원도 화천군 사내면 사창리 457-76금요일0.038.070901127.520825김밥, 비빔밥<NA><NA>000.00.0NN<NA><NA>3.465454NY곡운구곡 (강원평화지역 국가지질공원)38.053261127.538717http://m-home.co.kr/fathersgimbabncoffee/2020-10-20 08:27:12FATHER'S GIMBAP & PREMIUM DESSERT CAFÉSchool food粉食小吃<NA><NA><NA>457-76 Sachang-ri Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 サチャン里457-76江原道 华川郡 史内面 史仓里457-76MON:10:00~20:00\nSAT:10:00~20:00\nSUN:10:00~20:00\nTHU:10:00~20:00\nTUE:10:00~20:00\nWED:10:00~20:00
512135돼지엄마돼지고기YYN033-441-5004강원도 화천군 상서면 영서로 7708강원도 화천군 상서면 산양리 505-30연중무휴109.9538.206624127.662514육칼국수, 명태시래기조림<NA><NA>000.00.0NN<NA><NA>3.623232YY칠성전망대38.210897127.66424<NA>2020-10-13 18:30:17Dwaeji Eommapork豚肉猪肉7708 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 ヨンソロ7708江原道 华川郡 上西面 Yeongseo路7708505-30 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 サンヤン里505-30江原道 华川郡 上西面 山阳里505-30FRI:09:30~21:00\nMON:09:30~21:00\nSAT:09:30~21:00\nSUN:09:30~21:00\nTHU:09:30~21:00\nTUE:09:30~21:00\nWED:09:30~21:00
613641순욱씨밥줘한정식YYN033-441-1577강원도 화천군 상서면 구둔지길 37강원도 화천군 상서면 신풍리 77-3일요일53.238.11571127.680055청국장, 동태찌개, 제육볶음, 등심돈까스, 묵은지 등갈비<NA><NA>000.00.0NN<NA><NA>3.345252NY화천향교38.105805127.698156<NA>2020-10-15 10:12:10Sunukssi BapjwoKorean table d'hote韓定食韩定食37 Gudunji-gil Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 クドゥンジギル37江原道 华川郡 上西面 Gudunji街3777-3 Sinpung-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 シンプン里77-3江原道 华川郡 上西面 新豊里77-3FRI:10:00~19:30\nMON:10:00~19:30\nSAT:10:00~13:00\nTHU:10:00~19:30\nTUE:10:00~19:30\nWED:10:00~19:30
715825구이가 화천점돼지고기NYN033-442-6999강원도 화천군 화천읍 중앙로3길 21강원도 화천군 화천읍 하리 66-60한 달에 2번 휴무115.338.105561127.706031삼겹살.소갈비살<NA><NA>001.240.92NN<NA><NA>3.15050NN산타우체국38.107149127.706<NA>2020-10-19 13:29:21Guiga HwacheonJeompork豚肉猪肉21 Jungang-ro 3-gil Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 チュンアンロ3ギル21江原道 华川郡 华川邑 Jungang路3街2166-60 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 ハ里66-60江原道 华川郡 华川邑 下里66-60FRI:12:00~22:00\nMON:12:00~22:00\nSAT:12:00~22:00\nSUN:12:00~22:00\nTHU:12:00~22:00\nTUE:12:00~22:00\nWED:12:00~22:00
816311승현이네분식분식YYN033-442-5371강원도 화천군 화천읍 중앙로8길 6-1강원도 화천군 화천읍 하리 50-19월요일15.3538.103499127.706803해물파전, 녹두전<NA><NA>000.00.0NN<NA><NA>3.241616NY북한강38.10618127.708178<NA>2020-10-19 10:50:40Seunghyeonine BunsikSchool food粉食小吃6-1 Jungang-ro 8-gil Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 チュンアンロ8ギル6-1江原道 华川郡 华川邑 Jungang路8街6-150-19 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 ハ里50-19江原道 华川郡 华川邑 下里50-19FRI:11:30~10:00\nSAT:11:30~10:00\nSUN:11:30~10:00\nTHU:11:30~10:00\nTUE:11:30~10:00\nWED:11:30~10:00
9223826254반점 산양리점중식NNN033-442-6245<NA>강원도 화천군 상서면 산양리 401-8<NA>0.038.208979127.663014<NA><NA><NA>000.00.0NN<NA><NA>0.5200NN칠성전망대38.210897127.66424<NA>2020-10-22 14:13:476254 Banjeom SanyangniJeomChinese (cuisine)中華中式料理<NA><NA><NA>401-8 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 サンヤン里401-8江原道 华川郡 上西面 山阳里401-8FRI:16:00~00:00\nMON:16:00~00:00\nSAT:16:00~00:00\nSUN:16:00~00:00\nTHU:16:00~00:00\nTUE:16:00~00:00\nWED:16:00~00:00
식당ID식당명업종(메뉴)정보테이크아웃여부예약가능여부선결제여부식당 대표전화번호도로명주소지번주소정규휴업일식당면적식당위도식당경도대표메뉴어워드_글로벌어워드_로컬트립어드바이저 인기도씨트립 인기도네이버 인기도RTI 인덱스온라인화 진행 여부다국어메뉴판 제공 여부다국어 지원언어다국어메뉴판 주소수용태세 지수좌석수(입식)좌석수(좌식)베리어프리여부주차가능여부식당근처랜드마크정보랜드마크위도랜드마크경도식당 홈페이지등록일시식당명-로마자업종정보명-영어업종정보명-일본어업종정보명-중국어(간체)도로명주소-영어도로명주소-일본어도로명주소-중국어(간체)지번주소-영어지번주소-일본어지번주소-중국어(간체)영업시간정보
392862023별보는 산속가든한식YYN033-441-4927강원도 화천군 사내면 천문대길 64강원도 화천군 사내면 광덕리 1129연중무휴0.038.1068127.443859가마솥설렁탕, 산나물비빔밥<NA><NA>000.00.0NN<NA><NA>3.465555NY광덕산(화천)38.115007127.439435<NA>2020-10-14 11:30:53Byeolboneun Sansok GardenKorean cuisine韓食韩餐64 Cheonmundae-gil Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 チョンムンデギル64江原道 华川郡 史内面 Cheonmundae街641129 Gwangdeok-ri Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 クァンドク里1129江原道 华川郡 史内面 广德里1129FRI:00:00~00:00\nMON:00:00~00:00\nSAT:00:00~00:00\nSUN:00:00~00:00\nTHU:00:00~00:00\nTUE:00:00~00:00\nWED:00:00~00:00
393862032모모낙지볶음<NA>YYN033-441-6779강원도 화천군 상서면 다파로 10강원도 화천군 상서면 다목리 513-7연중무휴0.038.175099127.534189낚지볶음<NA><NA>000.00.0NN<NA><NA>3.231616YN감성마을 이외수 문학관38.166578127.516282<NA>2020-10-14 13:19:19Momo Nakji Bokkeum<NA><NA><NA>10 Dapa-ro Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 タパロ10江原道 华川郡 上西面 Dapa路10513-7 Damok-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 タモク里513-7江原道 华川郡 上西面 多木里513-7FRI:11:30~22:00\nMON:11:30~22:00\nSAT:11:30~22:00\nSUN:11:30~22:00\nTHU:11:30~22:00\nTUE:11:30~22:00\nWED:11:30~22:00
394862040유로코피자피자YYN033-442-1828강원도 화천군 상서면 영서로 7719강원도 화천군 상서면 산양리 738-62, 4주 수요일0.038.207291127.662414골든큐브스테이크피자<NA><NA>000.00.0NN<NA><NA>3.423636NY칠성전망대38.210897127.66424<NA>2020-10-14 16:22:05EUROKO PIZZAPizzaピザ比萨7719 Yeongseo-ro Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 ヨンソロ7719江原道 华川郡 上西面 Yeongseo路7719738-6 Sanyang-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 サンヤン里738-6江原道 华川郡 上西面 山阳里738-6FRI:14:00~22:00\nMON:14:00~22:00\nSAT:14:00~22:00\nSUN:14:00~22:00\nTHU:14:00~22:00\nTUE:14:00~22:00\nWED:14:00~22:00
395862046뽀야네식당한식NYN033-441-6010강원도 화천군 상서면 구둔지길 59강원도 화천군 상서면 신풍리 98-6매주토일요일/ 공휴알 휴무0.038.114895127.681484보리밥, 두부전골<NA><NA>000.00.0NN<NA><NA>3.188NN화천향교38.105805127.698156<NA>2020-11-21 11:13:25Ppoyane SikdangKorean cuisine韓食韩餐59 Gudunji-gil Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 クドゥンジギル59江原道 华川郡 上西面 Gudunji街5998-6 Sinpung-ri Sangseo-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サンソ面 シンプン里98-6江原道 华川郡 上西面 新豊里98-6FRI:11:30~03:00\nMON:11:30~03:00\nTHU:11:30~03:00\nTUE:11:30~03:00\nWED:11:30~03:00
396862060꽃돼지식당한식YYN<NA>강원도 화천군 간동면 간척월명로 304강원도 화천군 간동면 오음리 610-4일요일0.038.054318127.817506돼지국밥, 순대국밥<NA><NA>000.00.0NN<NA><NA>3.281212NY월남 파병용사 만남의 장 (구, 베트남 참전용사 만남의 장)38.05443127.834068<NA>2020-10-15 14:47:49Kkotdwaeji SikdangKorean cuisine韓食韩餐304 Gancheokwolmyeong-ro Gandong-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 カンドン面 カンチョクウォルミョンロ304江原道 华川郡 看东面 Gancheokwolmyeong路304610-4 Oeum-ri Gandong-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 カンドン面 オウム里610-4江原道 华川郡 看东面 梧阴里610-4FRI:09:30~19:00\nMON:09:30~19:00\nSAT:09:30~19:00\nTHU:09:30~19:00\nTUE:09:30~19:00\nWED:09:30~19:00
397862063뜨락순대국<NA>YYN033-441-7897강원도 화천군 간동면 간척월명로 298강원도 화천군 간동면 오음리 609연중무휴0.038.053951127.817369순대국, 닭갈비<NA><NA>000.00.0NN<NA><NA>3.76060YY월남 파병용사 만남의 장 (구, 베트남 참전용사 만남의 장)38.05443127.834068<NA>2020-10-15 14:44:52Tteurak Sundaeguk<NA><NA><NA>298 Gancheokwolmyeong-ro Gandong-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 カンドン面 カンチョクウォルミョンロ298江原道 华川郡 看东面 Gancheokwolmyeong路298609 Oeum-ri Gandong-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 カンドン面 オウム里609江原道 华川郡 看东面 梧阴里609FRI:09:00~21:00\nMON:09:00~21:00\nSAT:09:00~21:00\nSUN:09:00~21:00\nTHU:09:00~21:00\nTUE:09:00~21:00\nWED:09:00~21:00
398862074물안골빵공장베이커리YYN033-441-4025강원도 화천군 사내면 사내로 2길 22강원도 화천군 사내면 사창리 420-12연중무휴0.038.071142127.522907토마토파이, 토마토산천어빵<NA><NA>000.00.0NN<NA><NA>3.552424YY곡운구곡 (강원평화지역 국가지질공원)38.053261127.538717<NA>2020-11-03 11:28:57Murangol Ppang GongjangBakeryベーカリー面包店2 Sanae-ro Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 サネロ2江原道 华川郡 史内面 Sanae路2420-12 Sachang-ri Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 サチャン里420-12江原道 华川郡 史内面 史仓里420-12FRI:05:00~20:00\nMON:05:00~20:00\nSAT:05:00~20:00\nSUN:05:00~20:00\nTHU:05:00~20:00\nTUE:05:00~20:00\nWED:05:00~20:00
399862087윤나리식당한식YYN033-441-0132강원도 화천군 사내면 포화로 154-5강원도 화천군 사내면 광덕리 1158-3연중무휴0.038.091494127.449157한방닭백숙, 도토리묵<NA><NA>000.00.0NN<NA><NA>3.76060YY광덕산(화천)38.115007127.439435<NA>2020-11-03 11:27:58Yunnari SikdangKorean cuisine韓食韩餐154-5 Pohwa-ro Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 ポファロ154-5江原道 华川郡 史内面 Pohwa路154-51158-3 Gwangdeok-ri Sanae-myeon Hwacheon-gun Gangwon-do江原道 ファチョン郡 サネ面 クァンドク里1158-3江原道 华川郡 史内面 广德里1158-3FRI:10:00~19:00\nMON:10:00~19:00\nSAT:10:00~19:00\nSUN:10:00~19:00\nTHU:10:00~19:00\nTUE:10:00~19:00\nWED:10:00~19:00
400862096또와한식YYN033-442-7142강원도 화천군 화천읍 중앙로 4길 13-7강원도 화천군 화천읍 하리 48-17연중휴무/ 차후 휴무 정하실 예정0.038.103982127.705944김치등갈비찜, 즉석떡볶이, 닭볶음탕<NA><NA>000.00.0NN<NA><NA>2.961212NN산천어커피박물관38.105963127.703722<NA>2020-11-03 11:26:26TtowaKorean cuisine韓食韩餐4 Jungang-ro Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 チュンアンロ4江原道 华川郡 华川邑 Jungang路448-17 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 ハ里48-17江原道 华川郡 华川邑 下里48-17FRI:10:30~22:00\nMON:10:30~22:00\nSAT:10:30~22:00\nSUN:10:30~22:00\nTHU:10:30~22:00\nTUE:10:30~22:00\nWED:10:30~22:00
401862106커피에반하다카페YNN<NA>강원도 화천군 화천읍 중앙로 6길 6-2강원도 화천군 화천읍 하리 49-3연중무휴0.038.10403127.706275아메리카노, 요거트 스무디<NA><NA>000.00.0NN<NA><NA>2.83232NN북한강38.10618127.708178<NA>2020-11-03 11:18:52Coffeee Banhadacafeカフェ（コーヒーショップ）咖啡馆6 Jungang-ro Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 チュンアンロ6江原道 华川郡 华川邑 Jungang路649-3 Ha-ri Hwacheon-eup Hwacheon-gun Gangwon-do江原道 ファチョン郡 ファチョン邑 ハ里49-3江原道 华川郡 华川邑 下里49-3FRI:09:30~22:00\nMON:09:30~22:00\nSAT:09:30~22:00\nSUN:09:30~22:00\nTHU:09:30~22:00\nTUE:09:30~22:00\nWED:09:30~22:00