Overview

Dataset statistics

Number of variables12
Number of observations5530
Missing cells10513
Missing cells (%)15.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory524.0 KiB
Average record size in memory97.0 B

Variable types

Numeric1
Categorical1
Text10

Dataset

Description고유번호,언어,상호명,콘텐츠URL,주소,신주소,전화번호,웹사이트,운영시간,교통정보,홈페이지 언어,대표메뉴
Author서울관광재단
URLhttps://data.seoul.go.kr/dataList/OA-21054/S/1/datasetView.do

Alerts

전화번호 has 91 (1.6%) missing valuesMissing
웹사이트 has 3490 (63.1%) missing valuesMissing
운영시간 has 76 (1.4%) missing valuesMissing
교통정보 has 86 (1.6%) missing valuesMissing
홈페이지 언어 has 4457 (80.6%) missing valuesMissing
대표메뉴 has 2274 (41.1%) missing valuesMissing
고유번호 has unique valuesUnique

Reproduction

Analysis started2024-05-11 03:53:20.572102
Analysis finished2024-05-11 03:53:38.364108
Duration17.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

고유번호
Real number (ℝ)

UNIQUE 

Distinct5530
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15744.481
Minimum281
Maximum45630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size48.7 KiB
2024-05-11T03:53:38.788512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum281
5-th percentile2475.45
Q15525.25
median12031.5
Q322839.5
95-th percentile44527.55
Maximum45630
Range45349
Interquartile range (IQR)17314.25

Descriptive statistics

Standard deviation13481.595
Coefficient of variation (CV)0.8562743
Kurtosis-0.18311664
Mean15744.481
Median Absolute Deviation (MAD)6813
Skewness1.0710993
Sum87066981
Variance1.8175339 × 108
MonotonicityNot monotonic
2024-05-11T03:53:39.367783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1214 1
 
< 0.1%
13269 1
 
< 0.1%
10758 1
 
< 0.1%
6151 1
 
< 0.1%
6138 1
 
< 0.1%
11725 1
 
< 0.1%
5645 1
 
< 0.1%
4458 1
 
< 0.1%
44526 1
 
< 0.1%
10881 1
 
< 0.1%
Other values (5520) 5520
99.8%
ValueCountFrequency (%)
281 1
< 0.1%
282 1
< 0.1%
283 1
< 0.1%
284 1
< 0.1%
285 1
< 0.1%
383 1
< 0.1%
429 1
< 0.1%
434 1
< 0.1%
437 1
< 0.1%
439 1
< 0.1%
ValueCountFrequency (%)
45630 1
< 0.1%
45626 1
< 0.1%
45624 1
< 0.1%
45623 1
< 0.1%
45622 1
< 0.1%
45621 1
< 0.1%
45618 1
< 0.1%
45616 1
< 0.1%
45614 1
< 0.1%
45611 1
< 0.1%

언어
Categorical

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
en
1248 
zh-CN
1140 
ko
1057 
ja
1047 
zh-TW
1038 

Length

Max length5
Median length2
Mean length3.1815552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowen
2nd rowzh-TW
3rd rowzh-TW
4th rowzh-CN
5th rowen

Common Values

ValueCountFrequency (%)
en 1248
22.6%
zh-CN 1140
20.6%
ko 1057
19.1%
ja 1047
18.9%
zh-TW 1038
18.8%

Length

2024-05-11T03:53:39.955352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-11T03:53:40.520593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
en 1248
22.6%
zh-cn 1140
20.6%
ko 1057
19.1%
ja 1047
18.9%
zh-tw 1038
18.8%

상호명
Text

Distinct4631
Distinct (%)83.7%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-05-11T03:53:41.790160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length97
Median length47
Mean length11.073599
Min length1

Characters and Unicode

Total characters61237
Distinct characters1609
Distinct categories16 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4127 ?
Unique (%)74.6%

Sample

1st rowRomanee Conti
2nd row通仁市場
3rd rowApple House
4th rowGoshen
5th rowHanu Hanmari
ValueCountFrequency (%)
branch 97
 
1.1%
cafe 82
 
0.9%
the 82
 
0.9%
百年老店 65
 
0.7%
coffee 50
 
0.6%
la 44
 
0.5%
sikdang 42
 
0.5%
house 38
 
0.4%
restaurant 34
 
0.4%
33
 
0.4%
Other values (5149) 8249
93.6%
2024-05-11T03:53:43.655857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
a 3941
 
6.4%
3726
 
6.1%
n 3294
 
5.4%
e 2933
 
4.8%
o 2834
 
4.6%
i 1959
 
3.2%
g 1881
 
3.1%
u 1596
 
2.6%
? 1316
 
2.1%
r 1143
 
1.9%
Other values (1599) 36614
59.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 29288
47.8%
Other Letter 16804
27.4%
Uppercase Letter 7022
 
11.5%
Space Separator 3727
 
6.1%
Other Punctuation 1690
 
2.8%
Open Punctuation 1143
 
1.9%
Close Punctuation 1143
 
1.9%
Decimal Number 310
 
0.5%
Dash Punctuation 79
 
0.1%
Final Punctuation 14
 
< 0.1%
Other values (6) 17
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 760
 
4.5%
店 446
 
2.7%
チ 233
 
1.4%
ル 209
 
1.2%
ク 207
 
1.2%
ョ 157
 
0.9%
家 150
 
0.9%
ム 145
 
0.9%
이 138
 
0.8%
스 130
 
0.8%
Other values (1506) 14229
84.7%
Lowercase Letter
ValueCountFrequency (%)
a 3941
13.5%
n 3294
11.2%
e 2933
 
10.0%
o 2834
 
9.7%
i 1959
 
6.7%
g 1881
 
6.4%
u 1596
 
5.4%
r 1143
 
3.9%
l 1064
 
3.6%
s 1038
 
3.5%
Other values (16) 7605
26.0%
Uppercase Letter
ValueCountFrequency (%)
S 701
 
10.0%
B 630
 
9.0%
C 604
 
8.6%
M 434
 
6.2%
H 413
 
5.9%
G 387
 
5.5%
A 368
 
5.2%
T 323
 
4.6%
D 297
 
4.2%
L 294
 
4.2%
Other values (16) 2571
36.6%
Other Punctuation
ValueCountFrequency (%)
? 1316
77.9%
· 251
 
14.9%
' 63
 
3.7%
& 40
 
2.4%
. 8
 
0.5%
＆ 4
 
0.2%
, 3
 
0.2%
: 3
 
0.2%
! 1
 
0.1%
/ 1
 
0.1%
Decimal Number
ValueCountFrequency (%)
1 87
28.1%
3 37
11.9%
2 32
 
10.3%
9 31
 
10.0%
5 30
 
9.7%
7 26
 
8.4%
8 23
 
7.4%
0 20
 
6.5%
4 15
 
4.8%
6 9
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 936
81.9%
[ 183
 
16.0%
（ 22
 
1.9%
「 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
) 936
81.9%
] 183
 
16.0%
） 22
 
1.9%
」 2
 
0.2%
Math Symbol
ValueCountFrequency (%)
> 2
40.0%
< 2
40.0%
+ 1
20.0%
Space Separator
ValueCountFrequency (%)
3726
> 99.9%
　 1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 12
85.7%
” 2
 
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 79
100.0%
Other Symbol
ValueCountFrequency (%)
° 5
100.0%
Control
ValueCountFrequency (%)
3
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 36310
59.3%
Common 8123
 
13.3%
Han 6675
 
10.9%
Hangul 5457
 
8.9%
Katakana 4531
 
7.4%
Hiragana 141
 
0.2%

Most frequent character per script

Han
ValueCountFrequency (%)
店 446
 
6.7%
家 150
 
2.2%
年 124
 
1.9%
百 113
 
1.7%
屋 112
 
1.7%
堂 100
 
1.5%
食 94
 
1.4%
洞 92
 
1.4%
山 91
 
1.4%
老 88
 
1.3%
Other values (791) 5265
78.9%
Hangul
ValueCountFrequency (%)
이 138
 
2.5%
스 130
 
2.4%
점 115
 
2.1%
집 85
 
1.6%
가 85
 
1.6%
리 82
 
1.5%
동 65
 
1.2%
마 62
 
1.1%
비 62
 
1.1%
수 58
 
1.1%
Other values (592) 4575
83.8%
Katakana
ValueCountFrequency (%)
ン 760
 
16.8%
チ 233
 
5.1%
ル 209
 
4.6%
ク 207
 
4.6%
ョ 157
 
3.5%
ム 145
 
3.2%
ジ 124
 
2.7%
ッ 105
 
2.3%
ソ 96
 
2.1%
ス 93
 
2.1%
Other values (68) 2402
53.0%
Latin
ValueCountFrequency (%)
a 3941
 
10.9%
n 3294
 
9.1%
e 2933
 
8.1%
o 2834
 
7.8%
i 1959
 
5.4%
g 1881
 
5.2%
u 1596
 
4.4%
r 1143
 
3.1%
l 1064
 
2.9%
s 1038
 
2.9%
Other values (42) 14627
40.3%
Common
ValueCountFrequency (%)
3726
45.9%
? 1316
 
16.2%
( 936
 
11.5%
) 936
 
11.5%
· 251
 
3.1%
[ 183
 
2.3%
] 183
 
2.3%
1 87
 
1.1%
- 79
 
1.0%
' 63
 
0.8%
Other values (31) 363
 
4.5%
Hiragana
ValueCountFrequency (%)
の 48
34.0%
ん 9
 
6.4%
し 9
 
6.4%
る 6
 
4.3%
り 6
 
4.3%
つ 5
 
3.5%
す 5
 
3.5%
あ 4
 
2.8%
い 4
 
2.8%
さ 4
 
2.8%
Other values (25) 41
29.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 44108
72.0%
CJK 6646
 
10.9%
Hangul 5456
 
8.9%
Katakana 4531
 
7.4%
None 309
 
0.5%
Hiragana 141
 
0.2%
CJK Compat Ideographs 29
 
< 0.1%
Punctuation 16
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a 3941
 
8.9%
3726
 
8.4%
n 3294
 
7.5%
e 2933
 
6.6%
o 2834
 
6.4%
i 1959
 
4.4%
g 1881
 
4.3%
u 1596
 
3.6%
? 1316
 
3.0%
r 1143
 
2.6%
Other values (72) 19485
44.2%
Katakana
ValueCountFrequency (%)
ン 760
 
16.8%
チ 233
 
5.1%
ル 209
 
4.6%
ク 207
 
4.6%
ョ 157
 
3.5%
ム 145
 
3.2%
ジ 124
 
2.7%
ッ 105
 
2.3%
ソ 96
 
2.1%
ス 93
 
2.1%
Other values (68) 2402
53.0%
CJK
ValueCountFrequency (%)
店 446
 
6.7%
家 150
 
2.3%
年 124
 
1.9%
百 113
 
1.7%
屋 112
 
1.7%
堂 100
 
1.5%
食 94
 
1.4%
洞 92
 
1.4%
山 91
 
1.4%
老 88
 
1.3%
Other values (779) 5236
78.8%
None
ValueCountFrequency (%)
· 251
81.2%
（ 22
 
7.1%
） 22
 
7.1%
° 5
 
1.6%
＆ 4
 
1.3%
「 2
 
0.6%
」 2
 
0.6%
　 1
 
0.3%
Hangul
ValueCountFrequency (%)
이 138
 
2.5%
스 130
 
2.4%
점 115
 
2.1%
집 85
 
1.6%
가 85
 
1.6%
리 82
 
1.5%
동 65
 
1.2%
마 62
 
1.1%
비 62
 
1.1%
수 58
 
1.1%
Other values (591) 4574
83.8%
Hiragana
ValueCountFrequency (%)
の 48
34.0%
ん 9
 
6.4%
し 9
 
6.4%
る 6
 
4.3%
り 6
 
4.3%
つ 5
 
3.5%
す 5
 
3.5%
あ 4
 
2.8%
い 4
 
2.8%
さ 4
 
2.8%
Other values (25) 41
29.1%
Punctuation
ValueCountFrequency (%)
’ 12
75.0%
“ 2
 
12.5%
” 2
 
12.5%
CJK Compat Ideographs
ValueCountFrequency (%)
金 7
24.1%
茶 4
13.8%
麗 3
10.3%
拉 3
10.3%
樂 2
 
6.9%
老 2
 
6.9%
旅 2
 
6.9%
里 2
 
6.9%
梨 1
 
3.4%
綠 1
 
3.4%
Other values (2) 2
 
6.9%
Compat Jamo
ValueCountFrequency (%)
ㅍ 1
100.0%

콘텐츠URL
Text

Distinct5491
Distinct (%)100.0%
Missing39
Missing (%)0.7%
Memory size43.3 KiB
2024-05-11T03:53:45.182182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length199
Median length167
Mean length135.63686
Min length123

Characters and Unicode

Total characters744782
Distinct characters1446
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5491 ?
Unique (%)100.0%

Sample

1st rowhttps://english.visitseoul.net/restaurants/Romanee-Conti/ENP001211?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP001211
2nd rowhttps://tchinese.visitseoul.net/restaurants/通仁市場-CB/TCP000281?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP000281
3rd rowhttps://chinese.visitseoul.net/restaurants/Goshen-CN/CNP001056?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP001056
4th rowhttps://english.visitseoul.net/restaurants/Hanu-Hanmari2/ENP007140?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP007140
5th rowhttps://tchinese.visitseoul.net/restaurants/一隻韓牛5/TCP007140?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP007140
ValueCountFrequency (%)
https://japanese.visitseoul.net/restaurants/ケミチブ/jpp001095?utm_source=seoulopendata&utm_medium=restaurants&utm_content=jpp001095 1
 
< 0.1%
https://tchinese.visitseoul.net/restaurants/garam-guksi231/tcp006134?utm_source=seoulopendata&utm_medium=restaurants&utm_content=tcp006134 1
 
< 0.1%
https://korean.visitseoul.net/restaurants/섭지코지1/kop013494?utm_source=seoulopendata&utm_medium=restaurants&utm_content=kop013494 1
 
< 0.1%
https://english.visitseoul.net/restaurants/halmeoni-hyeondae-nakjijip-en/enp008647?utm_source=seoulopendata&utm_medium=restaurants&utm_content=enp008647 1
 
< 0.1%
https://tchinese.visitseoul.net/restaurants/韓一館/tcp003130?utm_source=seoulopendata&utm_medium=restaurants&utm_content=tcp003130 1
 
< 0.1%
https://tchinese.visitseoul.net/restaurants/miel-tc/tcp010898?utm_source=seoulopendata&utm_medium=restaurants&utm_content=tcp010898 1
 
< 0.1%
https://chinese.visitseoul.net/restaurants/bono-bono-cn/cnp010623?utm_source=seoulopendata&utm_medium=restaurants&utm_content=cnp010623 1
 
< 0.1%
https://japanese.visitseoul.net/restaurants/ソド/jpp003439?utm_source=seoulopendata&utm_medium=restaurants&utm_content=jpp003439 1
 
< 0.1%
https://chinese.visitseoul.net/restaurants/sicily-c/cnp004069?utm_source=seoulopendata&utm_medium=restaurants&utm_content=cnp004069 1
 
< 0.1%
https://english.visitseoul.net/restaurants/jony-dumpling/enp005659?utm_source=seoulopendata&utm_medium=restaurants&utm_content=enp005659 1
 
< 0.1%
Other values (5481) 5481
99.8%
2024-05-11T03:53:47.605619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
t 79099
 
10.6%
e 61731
 
8.3%
s 55309
 
7.4%
u 51516
 
6.9%
n 42813
 
5.7%
a 41123
 
5.5%
o 32212
 
4.3%
r 30021
 
4.0%
m 28664
 
3.8%
/ 27456
 
3.7%
Other values (1436) 294838
39.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 524912
70.5%
Decimal Number 63956
 
8.6%
Other Punctuation 61597
 
8.3%
Uppercase Letter 42939
 
5.8%
Math Symbol 16473
 
2.2%
Connector Punctuation 16473
 
2.2%
Other Letter 13180
 
1.8%
Dash Punctuation 5169
 
0.7%
Close Punctuation 30
 
< 0.1%
Open Punctuation 29
 
< 0.1%
Other values (3) 24
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 581
 
4.4%
店 314
 
2.4%
チ 193
 
1.5%
ル 157
 
1.2%
ク 156
 
1.2%
이 123
 
0.9%
ョ 119
 
0.9%
스 116
 
0.9%
ム 110
 
0.8%
年 102
 
0.8%
Other values (1357) 11209
85.0%
Lowercase Letter
ValueCountFrequency (%)
t 79099
15.1%
e 61731
11.8%
s 55309
10.5%
u 51516
9.8%
n 42813
8.2%
a 41123
7.8%
o 32212
6.1%
r 30021
 
5.7%
m 28664
 
5.5%
i 22357
 
4.3%
Other values (16) 80067
15.3%
Uppercase Letter
ValueCountFrequency (%)
P 13519
31.5%
C 5746
13.4%
N 5629
13.1%
E 2967
 
6.9%
T 2823
 
6.6%
J 2568
 
6.0%
K 2481
 
5.8%
O 2335
 
5.4%
S 820
 
1.9%
B 657
 
1.5%
Other values (16) 3394
 
7.9%
Decimal Number
ValueCountFrequency (%)
0 18855
29.5%
1 8329
13.0%
2 5787
 
9.0%
3 5736
 
9.0%
4 5549
 
8.7%
6 4499
 
7.0%
5 4227
 
6.6%
7 3797
 
5.9%
8 3662
 
5.7%
9 3515
 
5.5%
Other Punctuation
ValueCountFrequency (%)
/ 27456
44.6%
. 10982
 
17.8%
& 10982
 
17.8%
? 6469
 
10.5%
: 5491
 
8.9%
· 215
 
0.3%
＆ 2
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
） 29
96.7%
」 1
 
3.3%
Open Punctuation
ValueCountFrequency (%)
（ 28
96.6%
「 1
 
3.4%
Math Symbol
ValueCountFrequency (%)
= 16473
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16473
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5169
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 14
100.0%
Other Symbol
ValueCountFrequency (%)
° 5
100.0%
Format
ValueCountFrequency (%)
­ 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 567851
76.2%
Common 163751
 
22.0%
Hangul 4941
 
0.7%
Han 4768
 
0.6%
Katakana 3392
 
0.5%
Hiragana 79
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
店 314
 
6.6%
年 102
 
2.1%
家 97
 
2.0%
百 97
 
2.0%
屋 80
 
1.7%
堂 75
 
1.6%
山 72
 
1.5%
老 69
 
1.4%
食 65
 
1.4%
洞 65
 
1.4%
Other values (694) 3732
78.3%
Hangul
ValueCountFrequency (%)
이 123
 
2.5%
스 116
 
2.3%
점 84
 
1.7%
가 83
 
1.7%
집 80
 
1.6%
리 75
 
1.5%
비 63
 
1.3%
마 58
 
1.2%
동 57
 
1.2%
라 51
 
1.0%
Other values (553) 4151
84.0%
Katakana
ValueCountFrequency (%)
ン 581
 
17.1%
チ 193
 
5.7%
ル 157
 
4.6%
ク 156
 
4.6%
ョ 119
 
3.5%
ム 110
 
3.2%
ジ 90
 
2.7%
ソ 76
 
2.2%
ッ 73
 
2.2%
プ 70
 
2.1%
Other values (66) 1767
52.1%
Latin
ValueCountFrequency (%)
t 79099
13.9%
e 61731
10.9%
s 55309
9.7%
u 51516
9.1%
n 42813
 
7.5%
a 41123
 
7.2%
o 32212
 
5.7%
r 30021
 
5.3%
m 28664
 
5.0%
i 22357
 
3.9%
Other values (42) 123006
21.7%
Common
ValueCountFrequency (%)
/ 27456
16.8%
0 18855
11.5%
= 16473
10.1%
_ 16473
10.1%
. 10982
 
6.7%
& 10982
 
6.7%
1 8329
 
5.1%
? 6469
 
4.0%
2 5787
 
3.5%
3 5736
 
3.5%
Other values (17) 36209
22.1%
Hiragana
ValueCountFrequency (%)
の 36
45.6%
し 6
 
7.6%
ん 5
 
6.3%
す 4
 
5.1%
あ 3
 
3.8%
お 3
 
3.8%
は 2
 
2.5%
つ 2
 
2.5%
ば 2
 
2.5%
さ 2
 
2.5%
Other values (14) 14
 
17.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 731302
98.2%
Hangul 4941
 
0.7%
CJK 4742
 
0.6%
Katakana 3392
 
0.5%
None 286
 
< 0.1%
Hiragana 79
 
< 0.1%
CJK Compat Ideographs 26
 
< 0.1%
Punctuation 14
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
t 79099
 
10.8%
e 61731
 
8.4%
s 55309
 
7.6%
u 51516
 
7.0%
n 42813
 
5.9%
a 41123
 
5.6%
o 32212
 
4.4%
r 30021
 
4.1%
m 28664
 
3.9%
/ 27456
 
3.8%
Other values (60) 281358
38.5%
Katakana
ValueCountFrequency (%)
ン 581
 
17.1%
チ 193
 
5.7%
ル 157
 
4.6%
ク 156
 
4.6%
ョ 119
 
3.5%
ム 110
 
3.2%
ジ 90
 
2.7%
ソ 76
 
2.2%
ッ 73
 
2.2%
プ 70
 
2.1%
Other values (66) 1767
52.1%
CJK
ValueCountFrequency (%)
店 314
 
6.6%
年 102
 
2.2%
家 97
 
2.0%
百 97
 
2.0%
屋 80
 
1.7%
堂 75
 
1.6%
山 72
 
1.5%
老 69
 
1.5%
食 65
 
1.4%
洞 65
 
1.4%
Other values (683) 3706
78.2%
None
ValueCountFrequency (%)
· 215
75.2%
） 29
 
10.1%
（ 28
 
9.8%
° 5
 
1.7%
­ 5
 
1.7%
＆ 2
 
0.7%
」 1
 
0.3%
「 1
 
0.3%
Hangul
ValueCountFrequency (%)
이 123
 
2.5%
스 116
 
2.3%
점 84
 
1.7%
가 83
 
1.7%
집 80
 
1.6%
리 75
 
1.5%
비 63
 
1.3%
마 58
 
1.2%
동 57
 
1.2%
라 51
 
1.0%
Other values (553) 4151
84.0%
Hiragana
ValueCountFrequency (%)
の 36
45.6%
し 6
 
7.6%
ん 5
 
6.3%
す 4
 
5.1%
あ 3
 
3.8%
お 3
 
3.8%
は 2
 
2.5%
つ 2
 
2.5%
ば 2
 
2.5%
さ 2
 
2.5%
Other values (14) 14
 
17.7%
Punctuation
ValueCountFrequency (%)
’ 14
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
金 6
23.1%
茶 4
15.4%
麗 3
11.5%
里 2
 
7.7%
旅 2
 
7.7%
樂 2
 
7.7%
老 2
 
7.7%
拉 2
 
7.7%
梨 1
 
3.8%
綠 1
 
3.8%

주소
Text

Distinct4670
Distinct (%)84.4%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-05-11T03:53:48.134955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length129
Median length71
Mean length25.784268
Min length2

Characters and Unicode

Total characters142587
Distinct characters697
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique4491 ?
Unique (%)81.2%

Sample

1st row110-240 72-1, Anguk-dong, Jongno-gu, Seoul
2nd row110-043 首爾市鍾路區通仁洞 10-3
3rd row137-811 首爾市瑞草區盤浦洞978
4th row135-954
5th row07779 Hwagok 1(il)-dong, Gangseo-gu, Seoul 910-23
ValueCountFrequency (%)
seoul 1128
 
6.2%
서울 869
 
4.8%
korea 346
 
1.9%
gangnam-gu 256
 
1.4%
강남구 249
 
1.4%
서울특별시 207
 
1.1%
종로구 200
 
1.1%
jongno-gu 192
 
1.1%
jung-gu 182
 
1.0%
중구 148
 
0.8%
Other values (4210) 14334
79.1%
2024-05-11T03:53:49.291060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
18402
 
12.9%
1 10152
 
7.1%
- 10113
 
7.1%
0 6232
 
4.4%
3 5007
 
3.5%
o 4612
 
3.2%
2 4292
 
3.0%
? 4011
 
2.8%
5 3926
 
2.8%
g 3907
 
2.7%
Other values (687) 71933
50.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 43601
30.6%
Other Letter 32507
22.8%
Lowercase Letter 25936
18.2%
Space Separator 18403
12.9%
Dash Punctuation 10114
 
7.1%
Other Punctuation 7557
 
5.3%
Uppercase Letter 3901
 
2.7%
Open Punctuation 272
 
0.2%
Close Punctuation 272
 
0.2%
Math Symbol 16
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
洞 2407
 
7.4%
市 2375
 
7.3%
首 1683
 
5.2%
서 1296
 
4.0%
구 1102
 
3.4%
울 1093
 
3.4%
동 1085
 
3.3%
ル 909
 
2.8%
ソ 896
 
2.8%
ウ 890
 
2.7%
Other values (609) 18771
57.7%
Uppercase Letter
ValueCountFrequency (%)
S 1607
41.2%
J 428
 
11.0%
K 352
 
9.0%
G 348
 
8.9%
Y 295
 
7.6%
M 165
 
4.2%
C 117
 
3.0%
D 116
 
3.0%
H 84
 
2.2%
I 76
 
1.9%
Other values (15) 313
 
8.0%
Lowercase Letter
ValueCountFrequency (%)
o 4612
17.8%
g 3907
15.1%
n 3769
14.5%
u 2895
11.2%
e 2485
9.6%
a 2170
8.4%
d 1299
 
5.0%
l 1285
 
5.0%
m 590
 
2.3%
h 455
 
1.8%
Other values (14) 2469
9.5%
Decimal Number
ValueCountFrequency (%)
1 10152
23.3%
0 6232
14.3%
3 5007
11.5%
2 4292
9.8%
5 3926
 
9.0%
8 3678
 
8.4%
4 3053
 
7.0%
6 2579
 
5.9%
7 2482
 
5.7%
9 2200
 
5.0%
Other Punctuation
ValueCountFrequency (%)
? 4011
53.1%
, 3528
46.7%
、 6
 
0.1%
& 6
 
0.1%
/ 3
 
< 0.1%
. 2
 
< 0.1%
· 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
< 6
37.5%
> 6
37.5%
~ 4
25.0%
Space Separator
ValueCountFrequency (%)
18402
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 10113
> 99.9%
－ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 269
98.9%
（ 3
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 269
98.9%
） 3
 
1.1%
Control
ValueCountFrequency (%)
8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 80243
56.3%
Latin 29837
 
20.9%
Han 19370
 
13.6%
Hangul 9940
 
7.0%
Katakana 3195
 
2.2%
Hiragana 2
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
洞 2407
 
12.4%
市 2375
 
12.3%
首 1683
 
8.7%
爾 838
 
4.3%
區 831
 
4.3%
南 757
 
3.9%
特 751
 
3.9%
江 677
 
3.5%
路 576
 
3.0%
浦 406
 
2.1%
Other values (307) 8069
41.7%
Hangul
ValueCountFrequency (%)
서 1296
 
13.0%
구 1102
 
11.1%
울 1093
 
11.0%
동 1085
 
10.9%
남 301
 
3.0%
강 276
 
2.8%
로 261
 
2.6%
시 225
 
2.3%
종 209
 
2.1%
특 207
 
2.1%
Other values (222) 3885
39.1%
Katakana
ValueCountFrequency (%)
ル 909
28.5%
ソ 896
28.0%
ウ 890
27.9%
ン 122
 
3.8%
ド 29
 
0.9%
チ 27
 
0.8%
ョ 22
 
0.7%
ム 15
 
0.5%
ビ 15
 
0.5%
ノ 14
 
0.4%
Other values (58) 256
 
8.0%
Latin
ValueCountFrequency (%)
o 4612
15.5%
g 3907
13.1%
n 3769
12.6%
u 2895
9.7%
e 2485
8.3%
a 2170
7.3%
S 1607
 
5.4%
d 1299
 
4.4%
l 1285
 
4.3%
m 590
 
2.0%
Other values (39) 5218
17.5%
Common
ValueCountFrequency (%)
18402
22.9%
1 10152
12.7%
- 10113
12.6%
0 6232
 
7.8%
3 5007
 
6.2%
2 4292
 
5.3%
? 4011
 
5.0%
5 3926
 
4.9%
8 3678
 
4.6%
, 3528
 
4.4%
Other values (19) 10902
13.6%
Hiragana
ValueCountFrequency (%)
の 1
50.0%
に 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110064
77.2%
CJK 19240
 
13.5%
Hangul 9940
 
7.0%
Katakana 3195
 
2.2%
CJK Compat Ideographs 130
 
0.1%
None 16
 
< 0.1%
Hiragana 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
18402
16.7%
1 10152
 
9.2%
- 10113
 
9.2%
0 6232
 
5.7%
3 5007
 
4.5%
o 4612
 
4.2%
2 4292
 
3.9%
? 4011
 
3.6%
5 3926
 
3.6%
g 3907
 
3.5%
Other values (61) 39410
35.8%
CJK
ValueCountFrequency (%)
洞 2407
 
12.5%
市 2375
 
12.3%
首 1683
 
8.7%
爾 838
 
4.4%
區 831
 
4.3%
南 757
 
3.9%
特 751
 
3.9%
江 677
 
3.5%
路 576
 
3.0%
浦 406
 
2.1%
Other values (299) 7939
41.3%
Hangul
ValueCountFrequency (%)
서 1296
 
13.0%
구 1102
 
11.1%
울 1093
 
11.0%
동 1085
 
10.9%
남 301
 
3.0%
강 276
 
2.8%
로 261
 
2.6%
시 225
 
2.3%
종 209
 
2.1%
특 207
 
2.1%
Other values (222) 3885
39.1%
Katakana
ValueCountFrequency (%)
ル 909
28.5%
ソ 896
28.0%
ウ 890
27.9%
ン 122
 
3.8%
ド 29
 
0.9%
チ 27
 
0.8%
ョ 22
 
0.7%
ム 15
 
0.5%
ビ 15
 
0.5%
ノ 14
 
0.4%
Other values (58) 256
 
8.0%
CJK Compat Ideographs
ValueCountFrequency (%)
論 48
36.9%
梨 31
23.8%
龍 26
20.0%
良 15
 
11.5%
樂 5
 
3.8%
樂 2
 
1.5%
蘆 2
 
1.5%
老 1
 
0.8%
None
ValueCountFrequency (%)
、 6
37.5%
（ 3
18.8%
） 3
18.8%
－ 1
 
6.2%
　 1
 
6.2%
· 1
 
6.2%
Ａ 1
 
6.2%
Hiragana
ValueCountFrequency (%)
の 1
50.0%
に 1
50.0%

신주소
Text

Distinct5365
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size43.3 KiB
2024-05-11T03:53:49.990789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length77
Mean length32.884629
Min length2

Characters and Unicode

Total characters181852
Distinct characters1023
Distinct categories11 ?
Distinct scripts6 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5243 ?
Unique (%)94.8%

Sample

1st row03060 30-20, Bukchon-ro 1-gil, Jongno-gu, Seoul
2nd row03036 首爾市鍾路區紫霞門路15街18
3rd row06548 首爾市瑞草區新盤浦路50
4th row06014 首?市江南?宣陵路158街18
5th row07779 65, Gangseo-ro 5na-gil, Gangseo-gu, Seoul
ValueCountFrequency (%)
seoul 1253
 
5.5%
서울 792
 
3.5%
gangnam-gu 267
 
1.2%
korea 264
 
1.2%
서울특별시 258
 
1.1%
강남구 242
 
1.1%
jongno-gu 209
 
0.9%
jung-gu 189
 
0.8%
종로구 177
 
0.8%
중구 146
 
0.6%
Other values (6653) 18895
83.3%
2024-05-11T03:53:51.203470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21953
 
12.1%
0 9197
 
5.1%
1 7304
 
4.0%
3 5467
 
3.0%
o 5085
 
2.8%
? 4975
 
2.7%
4 4963
 
2.7%
2 4624
 
2.5%
6 4454
 
2.4%
- 4443
 
2.4%
Other values (1013) 109387
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 55715
30.6%
Decimal Number 47691
26.2%
Lowercase Letter 31090
17.1%
Space Separator 21954
 
12.1%
Other Punctuation 9388
 
5.2%
Uppercase Letter 5049
 
2.8%
Dash Punctuation 4443
 
2.4%
Open Punctuation 3257
 
1.8%
Close Punctuation 3254
 
1.8%
Math Symbol 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
市 2964
 
5.3%
路 2559
 
4.6%
ン 2288
 
4.1%
首 2126
 
3.8%
ル 1796
 
3.2%
街 1396
 
2.5%
ソ 1358
 
2.4%
서 1328
 
2.4%
로 1178
 
2.1%
동 1148
 
2.1%
Other values (933) 37574
67.4%
Lowercase Letter
ValueCountFrequency (%)
o 5085
16.4%
g 4177
13.4%
u 3521
11.3%
n 3467
11.2%
e 3146
10.1%
a 2647
8.5%
l 2313
7.4%
r 1557
 
5.0%
i 1160
 
3.7%
d 704
 
2.3%
Other values (16) 3313
10.7%
Uppercase Letter
ValueCountFrequency (%)
S 1779
35.2%
J 487
 
9.6%
G 403
 
8.0%
Y 292
 
5.8%
K 279
 
5.5%
M 228
 
4.5%
B 193
 
3.8%
F 191
 
3.8%
D 172
 
3.4%
E 135
 
2.7%
Other values (15) 890
17.6%
Decimal Number
ValueCountFrequency (%)
0 9197
19.3%
1 7304
15.3%
3 5467
11.5%
4 4963
10.4%
2 4624
9.7%
6 4454
9.3%
5 4208
8.8%
7 2928
 
6.1%
8 2506
 
5.3%
9 2039
 
4.3%
Other Punctuation
ValueCountFrequency (%)
? 4975
53.0%
, 4283
45.6%
、 59
 
0.6%
， 45
 
0.5%
· 9
 
0.1%
& 7
 
0.1%
. 6
 
0.1%
/ 3
 
< 0.1%
# 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
21953
> 99.9%
　 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3192
98.0%
（ 65
 
2.0%
Close Punctuation
ValueCountFrequency (%)
) 3189
98.0%
） 65
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 4443
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 89998
49.5%
Latin 36139
19.9%
Han 24845
 
13.7%
Hangul 16246
 
8.9%
Katakana 14603
 
8.0%
Hiragana 21
 
< 0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
市 2964
 
11.9%
路 2559
 
10.3%
首 2126
 
8.6%
街 1396
 
5.6%
區 1027
 
4.1%
爾 1020
 
4.1%
洞 1004
 
4.0%
南 943
 
3.8%
江 889
 
3.6%
大 681
 
2.7%
Other values (449) 10236
41.2%
Hangul
ValueCountFrequency (%)
서 1328
 
8.2%
로 1178
 
7.3%
동 1148
 
7.1%
구 1089
 
6.7%
울 1080
 
6.6%
길 624
 
3.8%
남 383
 
2.4%
대 343
 
2.1%
강 316
 
1.9%
시 288
 
1.8%
Other values (396) 8469
52.1%
Katakana
ValueCountFrequency (%)
ン 2288
15.7%
ル 1796
 
12.3%
ソ 1358
 
9.3%
ウ 1142
 
7.8%
ロ 897
 
6.1%
ギ 623
 
4.3%
チ 594
 
4.1%
ョ 554
 
3.8%
ム 496
 
3.4%
ナ 349
 
2.4%
Other values (64) 4506
30.9%
Latin
ValueCountFrequency (%)
o 5085
14.1%
g 4177
11.6%
u 3521
9.7%
n 3467
9.6%
e 3146
8.7%
a 2647
 
7.3%
l 2313
 
6.4%
S 1779
 
4.9%
r 1557
 
4.3%
i 1160
 
3.2%
Other values (41) 7287
20.2%
Common
ValueCountFrequency (%)
21953
24.4%
0 9197
10.2%
1 7304
 
8.1%
3 5467
 
6.1%
? 4975
 
5.5%
4 4963
 
5.5%
2 4624
 
5.1%
6 4454
 
4.9%
- 4443
 
4.9%
, 4283
 
4.8%
Other values (19) 18335
20.4%
Hiragana
ValueCountFrequency (%)
ぺ 7
33.3%
へ 5
23.8%
の 5
23.8%
べ 4
19.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 125892
69.2%
CJK 24756
 
13.6%
Hangul 16246
 
8.9%
Katakana 14603
 
8.0%
None 245
 
0.1%
CJK Compat Ideographs 89
 
< 0.1%
Hiragana 21
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21953
17.4%
0 9197
 
7.3%
1 7304
 
5.8%
3 5467
 
4.3%
o 5085
 
4.0%
? 4975
 
4.0%
4 4963
 
3.9%
2 4624
 
3.7%
6 4454
 
3.5%
- 4443
 
3.5%
Other values (63) 53427
42.4%
CJK
ValueCountFrequency (%)
市 2964
 
12.0%
路 2559
 
10.3%
首 2126
 
8.6%
街 1396
 
5.6%
區 1027
 
4.1%
爾 1020
 
4.1%
洞 1004
 
4.1%
南 943
 
3.8%
江 889
 
3.6%
大 681
 
2.8%
Other values (442) 10147
41.0%
Katakana
ValueCountFrequency (%)
ン 2288
15.7%
ル 1796
 
12.3%
ソ 1358
 
9.3%
ウ 1142
 
7.8%
ロ 897
 
6.1%
ギ 623
 
4.3%
チ 594
 
4.1%
ョ 554
 
3.8%
ム 496
 
3.4%
ナ 349
 
2.4%
Other values (64) 4506
30.9%
Hangul
ValueCountFrequency (%)
서 1328
 
8.2%
로 1178
 
7.3%
동 1148
 
7.1%
구 1089
 
6.7%
울 1080
 
6.6%
길 624
 
3.8%
남 383
 
2.4%
대 343
 
2.1%
강 316
 
1.9%
시 288
 
1.8%
Other values (396) 8469
52.1%
None
ValueCountFrequency (%)
（ 65
26.5%
） 65
26.5%
、 59
24.1%
， 45
18.4%
· 9
 
3.7%
　 1
 
0.4%
１ 1
 
0.4%
CJK Compat Ideographs
ValueCountFrequency (%)
龍 61
68.5%
論 14
 
15.7%
梨 5
 
5.6%
六 3
 
3.4%
良 3
 
3.4%
蘆 2
 
2.2%
老 1
 
1.1%
Hiragana
ValueCountFrequency (%)
ぺ 7
33.3%
へ 5
23.8%
の 5
23.8%
べ 4
19.0%

전화번호
Text

MISSING 

Distinct2357
Distinct (%)43.3%
Missing91
Missing (%)1.6%
Memory size43.3 KiB
2024-05-11T03:53:51.853935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length63
Median length14
Mean length14.191947
Min length6

Characters and Unicode

Total characters77190
Distinct characters96
Distinct categories12 ?
Distinct scripts6 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1296 ?
Unique (%)23.8%

Sample

1st row+82-2-722-4776
2nd row+82-2-722-0911
3rd row+82-2-595-1629
4th row+82-2-515-1863
5th row+82-2-2065-1616
ValueCountFrequency (%)
82-2-2266-9101 9
 
0.2%
82-2-522-2270 8
 
0.1%
82-2-565-1116 8
 
0.1%
82-2-355-1204 8
 
0.1%
82-2-725-4870 8
 
0.1%
82-2-776-3896 8
 
0.1%
82-2-733-4786 8
 
0.1%
82-2-512-2395 8
 
0.1%
82-2-548-3030 8
 
0.1%
82-2-337-9019 6
 
0.1%
Other values (2359) 5383
98.6%
2024-05-11T03:53:53.000514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 15291
19.8%
2 13158
17.0%
8 7402
9.6%
7 6085
 
7.9%
0 5563
 
7.2%
5 5471
 
7.1%
3 4552
 
5.9%
+ 4405
 
5.7%
1 4291
 
5.6%
4 4217
 
5.5%
Other values (86) 6755
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 57181
74.1%
Dash Punctuation 15291
 
19.8%
Math Symbol 4407
 
5.7%
Other Letter 94
 
0.1%
Lowercase Letter 74
 
0.1%
Space Separator 60
 
0.1%
Other Punctuation 58
 
0.1%
Open Punctuation 7
 
< 0.1%
Close Punctuation 7
 
< 0.1%
Uppercase Letter 6
 
< 0.1%
Other values (2) 5
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
租 4
 
4.3%
地 4
 
4.3%
及 4
 
4.3%
活 4
 
4.3%
拍 4
 
4.3%
お 3
 
3.2%
트 3
 
3.2%
約 3
 
3.2%
び 2
 
2.1%
貸 2
 
2.1%
Other values (39) 61
64.9%
Lowercase Letter
ValueCountFrequency (%)
n 12
16.2%
i 9
12.2%
e 9
12.2%
t 7
9.5%
l 5
 
6.8%
r 5
 
6.8%
a 5
 
6.8%
d 3
 
4.1%
s 3
 
4.1%
v 3
 
4.1%
Other values (8) 13
17.6%
Decimal Number
ValueCountFrequency (%)
2 13158
23.0%
8 7402
12.9%
7 6085
10.6%
0 5563
9.7%
5 5471
9.6%
3 4552
 
8.0%
1 4291
 
7.5%
4 4217
 
7.4%
6 3254
 
5.7%
9 3188
 
5.6%
Other Punctuation
ValueCountFrequency (%)
: 21
36.2%
? 15
25.9%
/ 10
17.2%
、 6
 
10.3%
, 5
 
8.6%
& 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
E 2
33.3%
C 1
16.7%
M 1
16.7%
R 1
16.7%
I 1
16.7%
Math Symbol
ValueCountFrequency (%)
+ 4405
> 99.9%
~ 2
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 15291
100.0%
Space Separator
ValueCountFrequency (%)
60
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Control
ValueCountFrequency (%)
4
100.0%
Format
ValueCountFrequency (%)
­ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 77016
99.8%
Latin 80
 
0.1%
Han 48
 
0.1%
Hangul 28
 
< 0.1%
Hiragana 10
 
< 0.1%
Katakana 8
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
- 15291
19.9%
2 13158
17.1%
8 7402
9.6%
7 6085
 
7.9%
0 5563
 
7.2%
5 5471
 
7.1%
3 4552
 
5.9%
+ 4405
 
5.7%
1 4291
 
5.6%
4 4217
 
5.5%
Other values (14) 6581
8.5%
Latin
ValueCountFrequency (%)
n 12
15.0%
i 9
11.2%
e 9
11.2%
t 7
 
8.8%
l 5
 
6.2%
r 5
 
6.2%
a 5
 
6.2%
d 3
 
3.8%
s 3
 
3.8%
v 3
 
3.8%
Other values (13) 19
23.8%
Han
ValueCountFrequency (%)
租 4
 
8.3%
地 4
 
8.3%
及 4
 
8.3%
活 4
 
8.3%
拍 4
 
8.3%
約 3
 
6.2%
貸 2
 
4.2%
館 2
 
4.2%
賃 2
 
4.2%
場 2
 
4.2%
Other values (10) 17
35.4%
Hangul
ValueCountFrequency (%)
트 3
 
10.7%
촬 2
 
7.1%
및 2
 
7.1%
대 2
 
7.1%
관 2
 
7.1%
벤 2
 
7.1%
이 2
 
7.1%
영 2
 
7.1%
모 1
 
3.6%
패 1
 
3.6%
Other values (9) 9
32.1%
Hiragana
ValueCountFrequency (%)
お 3
30.0%
び 2
20.0%
よ 2
20.0%
せ 1
 
10.0%
わ 1
 
10.0%
い 1
 
10.0%
Katakana
ValueCountFrequency (%)
ト 2
25.0%
イ 2
25.0%
ベ 2
25.0%
ン 2
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 77089
99.9%
CJK 48
 
0.1%
Hangul 28
 
< 0.1%
Hiragana 10
 
< 0.1%
Katakana 8
 
< 0.1%
None 7
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 15291
19.8%
2 13158
17.1%
8 7402
9.6%
7 6085
 
7.9%
0 5563
 
7.2%
5 5471
 
7.1%
3 4552
 
5.9%
+ 4405
 
5.7%
1 4291
 
5.6%
4 4217
 
5.5%
Other values (35) 6654
8.6%
None
ValueCountFrequency (%)
、 6
85.7%
­ 1
 
14.3%
CJK
ValueCountFrequency (%)
租 4
 
8.3%
地 4
 
8.3%
及 4
 
8.3%
活 4
 
8.3%
拍 4
 
8.3%
約 3
 
6.2%
貸 2
 
4.2%
館 2
 
4.2%
賃 2
 
4.2%
場 2
 
4.2%
Other values (10) 17
35.4%
Hiragana
ValueCountFrequency (%)
お 3
30.0%
び 2
20.0%
よ 2
20.0%
せ 1
 
10.0%
わ 1
 
10.0%
い 1
 
10.0%
Hangul
ValueCountFrequency (%)
트 3
 
10.7%
촬 2
 
7.1%
및 2
 
7.1%
대 2
 
7.1%
관 2
 
7.1%
벤 2
 
7.1%
이 2
 
7.1%
영 2
 
7.1%
모 1
 
3.6%
패 1
 
3.6%
Other values (9) 9
32.1%
Katakana
ValueCountFrequency (%)
ト 2
25.0%
イ 2
25.0%
ベ 2
25.0%
ン 2
25.0%

웹사이트
Text

MISSING 

Distinct626
Distinct (%)30.7%
Missing3490
Missing (%)63.1%
Memory size43.3 KiB
2024-05-11T03:53:53.455169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length131
Median length74
Mean length31.754902
Min length14

Characters and Unicode

Total characters64780
Distinct characters120
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique209 ?
Unique (%)10.2%

Sample

1st rowhttps://tonginmarket.modoo.at/
2nd rowhttp://www.i-goshen.net
3rd rowhttps://www.instagram.com/ooh_breado/
4th rowhttp://gaemizip.modoo.at/
5th rowhttps://tonginmarket.modoo.at/
ValueCountFrequency (%)
https://www.chickbychick.com 15
 
0.7%
http://www.ganga.co.kr 15
 
0.7%
http://www.durga.co.kr 14
 
0.7%
http://www.sullai.com 14
 
0.7%
https://makinochaya.co.kr 10
 
0.5%
https://www.instagram.com/cangweon9366 10
 
0.5%
http://www.hanuso.com 10
 
0.5%
http://www.mrkebab.co.kr 9
 
0.4%
http://www.chaesundang.co.kr 9
 
0.4%
http://www.mayfield.co.kr 8
 
0.4%
Other values (595) 1927
94.4%
2024-05-11T03:53:54.212753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 6191
 
9.6%
t 5735
 
8.9%
. 4659
 
7.2%
w 4642
 
7.2%
o 4332
 
6.7%
a 3525
 
5.4%
h 2940
 
4.5%
c 2615
 
4.0%
p 2538
 
3.9%
m 2479
 
3.8%
Other values (110) 25124
38.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 49068
75.7%
Other Punctuation 13042
 
20.1%
Decimal Number 1415
 
2.2%
Uppercase Letter 338
 
0.5%
Connector Punctuation 314
 
0.5%
Other Letter 194
 
0.3%
Dash Punctuation 170
 
0.3%
Space Separator 119
 
0.2%
Math Symbol 117
 
0.2%
Close Punctuation 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 14
 
7.2%
삼 10
 
5.2%
비 10
 
5.2%
수 7
 
3.6%
생 6
 
3.1%
베 5
 
2.6%
강 5
 
2.6%
징 5
 
2.6%
코 5
 
2.6%
야 5
 
2.6%
Other values (37) 122
62.9%
Lowercase Letter
ValueCountFrequency (%)
t 5735
 
11.7%
w 4642
 
9.5%
o 4332
 
8.8%
a 3525
 
7.2%
h 2940
 
6.0%
c 2615
 
5.3%
p 2538
 
5.2%
m 2479
 
5.1%
n 2407
 
4.9%
r 2380
 
4.9%
Other values (16) 15475
31.5%
Uppercase Letter
ValueCountFrequency (%)
D 49
14.5%
C 39
11.5%
I 35
 
10.4%
N 23
 
6.8%
R 20
 
5.9%
A 18
 
5.3%
H 18
 
5.3%
P 17
 
5.0%
S 14
 
4.1%
J 14
 
4.1%
Other values (13) 91
26.9%
Decimal Number
ValueCountFrequency (%)
1 192
13.6%
0 192
13.6%
2 180
12.7%
3 146
10.3%
9 141
10.0%
4 134
9.5%
5 131
9.3%
7 122
8.6%
6 113
8.0%
8 64
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 6191
47.5%
. 4659
35.7%
: 2008
 
15.4%
? 94
 
0.7%
% 45
 
0.3%
& 25
 
0.2%
# 20
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 170
100.0%
Space Separator
ValueCountFrequency (%)
119
100.0%
Math Symbol
ValueCountFrequency (%)
= 117
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 49406
76.3%
Common 15180
 
23.4%
Hangul 194
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 5735
 
11.6%
w 4642
 
9.4%
o 4332
 
8.8%
a 3525
 
7.1%
h 2940
 
6.0%
c 2615
 
5.3%
p 2538
 
5.1%
m 2479
 
5.0%
n 2407
 
4.9%
r 2380
 
4.8%
Other values (39) 15813
32.0%
Hangul
ValueCountFrequency (%)
이 14
 
7.2%
삼 10
 
5.2%
비 10
 
5.2%
수 7
 
3.6%
생 6
 
3.1%
베 5
 
2.6%
강 5
 
2.6%
징 5
 
2.6%
코 5
 
2.6%
야 5
 
2.6%
Other values (37) 122
62.9%
Common
ValueCountFrequency (%)
/ 6191
40.8%
. 4659
30.7%
: 2008
 
13.2%
_ 314
 
2.1%
1 192
 
1.3%
0 192
 
1.3%
2 180
 
1.2%
- 170
 
1.1%
3 146
 
1.0%
9 141
 
0.9%
Other values (14) 987
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 64586
99.7%
Hangul 194
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 6191
 
9.6%
t 5735
 
8.9%
. 4659
 
7.2%
w 4642
 
7.2%
o 4332
 
6.7%
a 3525
 
5.5%
h 2940
 
4.6%
c 2615
 
4.0%
p 2538
 
3.9%
m 2479
 
3.8%
Other values (63) 24930
38.6%
Hangul
ValueCountFrequency (%)
이 14
 
7.2%
삼 10
 
5.2%
비 10
 
5.2%
수 7
 
3.6%
생 6
 
3.1%
베 5
 
2.6%
강 5
 
2.6%
징 5
 
2.6%
코 5
 
2.6%
야 5
 
2.6%
Other values (37) 122
62.9%

운영시간
Text

MISSING 

Distinct3562
Distinct (%)65.3%
Missing76
Missing (%)1.4%
Memory size43.3 KiB
2024-05-11T03:53:54.686035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length318
Median length169
Mean length31.47048
Min length1

Characters and Unicode

Total characters171640
Distinct characters507
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks10 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2878 ?
Unique (%)52.8%

Sample

1st rowMonday-Friday 11:30-23:00, Saturday 16:00-23:00 KST
2nd row07:00~21:00 KST (依店家而有所不同) 便當cafe營業時間 週二~週五 11:00~16:00 KST，週六~週日 11:00~17:00 KST ※便當cafe銅錢銷?時間：平日11:00~15:00 KST，週末11:00~16:00 KST
3rd row10:00 ~ 21:30
4th row11:30~04:30 KST
5th rowOpen 24 hours
ValueCountFrequency (%)
6207
21.1%
kst 4120
 
14.0%
22:00 1297
 
4.4%
11:30 994
 
3.4%
11:00 923
 
3.1%
17:00 639
 
2.2%
15:00 627
 
2.1%
21:00 621
 
2.1%
12:00 439
 
1.5%
10:00 422
 
1.4%
Other values (2192) 13184
44.7%
2024-05-11T03:53:55.580212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 35244
20.5%
24718
14.4%
: 18677
10.9%
1 16713
9.7%
2 9848
 
5.7%
~ 6799
 
4.0%
3 5803
 
3.4%
S 4550
 
2.7%
T 4321
 
2.5%
K 4203
 
2.4%
Other values (497) 40764
23.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 74745
43.5%
Space Separator 24718
 
14.4%
Other Punctuation 22511
 
13.1%
Uppercase Letter 15049
 
8.8%
Other Letter 10034
 
5.8%
Lowercase Letter 8873
 
5.2%
Math Symbol 6842
 
4.0%
Dash Punctuation 3152
 
1.8%
Open Punctuation 2854
 
1.7%
Close Punctuation 2852
 
1.7%
Other values (3) 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
日 1171
 
11.7%
週 724
 
7.2%
일 701
 
7.0%
周 675
 
6.7%
平 485
 
4.8%
末 373
 
3.7%
六 355
 
3.5%
매 261
 
2.6%
曜 253
 
2.5%
一 241
 
2.4%
Other values (410) 4795
47.8%
Lowercase Letter
ValueCountFrequency (%)
a 1302
14.7%
e 1236
13.9%
y 819
9.2%
d 728
8.2%
i 627
7.1%
s 610
 
6.9%
r 595
 
6.7%
n 534
 
6.0%
t 438
 
4.9%
l 431
 
4.9%
Other values (14) 1553
17.5%
Uppercase Letter
ValueCountFrequency (%)
S 4550
30.2%
T 4321
28.7%
K 4203
27.9%
M 502
 
3.3%
D 350
 
2.3%
W 322
 
2.1%
P 250
 
1.7%
A 129
 
0.9%
F 115
 
0.8%
B 101
 
0.7%
Other values (10) 206
 
1.4%
Other Punctuation
ValueCountFrequency (%)
: 18677
83.0%
/ 1299
 
5.8%
, 970
 
4.3%
? 671
 
3.0%
、 335
 
1.5%
： 198
 
0.9%
. 95
 
0.4%
* 84
 
0.4%
& 80
 
0.4%
， 64
 
0.3%
Other values (7) 38
 
0.2%
Decimal Number
ValueCountFrequency (%)
0 35244
47.2%
1 16713
22.4%
2 9848
 
13.2%
3 5803
 
7.8%
7 1960
 
2.6%
5 1692
 
2.3%
4 1098
 
1.5%
8 937
 
1.3%
6 770
 
1.0%
9 680
 
0.9%
Math Symbol
ValueCountFrequency (%)
~ 6799
99.4%
| 26
 
0.4%
> 6
 
0.1%
< 6
 
0.1%
∼ 5
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 2827
99.1%
（ 26
 
0.9%
[ 1
 
< 0.1%
Close Punctuation
ValueCountFrequency (%)
) 2826
99.1%
） 25
 
0.9%
] 1
 
< 0.1%
Space Separator
ValueCountFrequency (%)
24718
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3152
100.0%
Format
ValueCountFrequency (%)
­ 5
100.0%
Other Symbol
ValueCountFrequency (%)
◎ 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137684
80.2%
Latin 23922
 
13.9%
Han 6903
 
4.0%
Hangul 2714
 
1.6%
Katakana 298
 
0.2%
Hiragana 119
 
0.1%

Most frequent character per script

Han
ValueCountFrequency (%)
日 1171
17.0%
週 724
 
10.5%
周 675
 
9.8%
平 485
 
7.0%
末 373
 
5.4%
六 355
 
5.1%
曜 253
 
3.7%
一 241
 
3.5%
土 189
 
2.7%
五 187
 
2.7%
Other values (195) 2250
32.6%
Hangul
ValueCountFrequency (%)
일 701
25.8%
매 261
 
9.6%
토 216
 
8.0%
평 198
 
7.3%
주 144
 
5.3%
월 139
 
5.1%
말 130
 
4.8%
요 96
 
3.5%
금 87
 
3.2%
목 37
 
1.4%
Other values (141) 705
26.0%
Latin
ValueCountFrequency (%)
S 4550
19.0%
T 4321
18.1%
K 4203
17.6%
a 1302
 
5.4%
e 1236
 
5.2%
y 819
 
3.4%
d 728
 
3.0%
i 627
 
2.6%
s 610
 
2.5%
r 595
 
2.5%
Other values (34) 4931
20.6%
Common
ValueCountFrequency (%)
0 35244
25.6%
24718
18.0%
: 18677
13.6%
1 16713
12.1%
2 9848
 
7.2%
~ 6799
 
4.9%
3 5803
 
4.2%
- 3152
 
2.3%
( 2827
 
2.1%
) 2826
 
2.1%
Other values (33) 11077
 
8.0%
Katakana
ValueCountFrequency (%)
ラ 34
 
11.4%
ス 28
 
9.4%
ト 26
 
8.7%
ダ 24
 
8.1%
オ 24
 
8.1%
イ 19
 
6.4%
ン 16
 
5.4%
ィ 12
 
4.0%
ナ 12
 
4.0%
デ 12
 
4.0%
Other values (28) 91
30.5%
Hiragana
ValueCountFrequency (%)
り 15
 
12.6%
な 10
 
8.4%
に 9
 
7.6%
よ 8
 
6.7%
ま 8
 
6.7%
る 7
 
5.9%
が 7
 
5.9%
は 7
 
5.9%
ら 5
 
4.2%
か 5
 
4.2%
Other values (16) 38
31.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 160910
93.7%
CJK 6894
 
4.0%
Hangul 2714
 
1.6%
None 676
 
0.4%
Katakana 298
 
0.2%
Hiragana 119
 
0.1%
Punctuation 11
 
< 0.1%
CJK Compat Ideographs 9
 
< 0.1%
Math Operators 5
 
< 0.1%
Geometric Shapes 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 35244
21.9%
24718
15.4%
: 18677
11.6%
1 16713
10.4%
2 9848
 
6.1%
~ 6799
 
4.2%
3 5803
 
3.6%
S 4550
 
2.8%
T 4321
 
2.7%
K 4203
 
2.6%
Other values (65) 30034
18.7%
CJK
ValueCountFrequency (%)
日 1171
17.0%
週 724
 
10.5%
周 675
 
9.8%
平 485
 
7.0%
末 373
 
5.4%
六 355
 
5.1%
曜 253
 
3.7%
一 241
 
3.5%
土 189
 
2.7%
五 187
 
2.7%
Other values (193) 2241
32.5%
Hangul
ValueCountFrequency (%)
일 701
25.8%
매 261
 
9.6%
토 216
 
8.0%
평 198
 
7.3%
주 144
 
5.3%
월 139
 
5.1%
말 130
 
4.8%
요 96
 
3.5%
금 87
 
3.2%
목 37
 
1.4%
Other values (141) 705
26.0%
None
ValueCountFrequency (%)
、 335
49.6%
： 198
29.3%
， 64
 
9.5%
（ 26
 
3.8%
） 25
 
3.7%
／ 12
 
1.8%
· 6
 
0.9%
。 5
 
0.7%
­ 5
 
0.7%
Katakana
ValueCountFrequency (%)
ラ 34
 
11.4%
ス 28
 
9.4%
ト 26
 
8.7%
ダ 24
 
8.1%
オ 24
 
8.1%
イ 19
 
6.4%
ン 16
 
5.4%
ィ 12
 
4.0%
ナ 12
 
4.0%
デ 12
 
4.0%
Other values (28) 91
30.5%
Hiragana
ValueCountFrequency (%)
り 15
 
12.6%
な 10
 
8.4%
に 9
 
7.6%
よ 8
 
6.7%
ま 8
 
6.7%
る 7
 
5.9%
が 7
 
5.9%
は 7
 
5.9%
ら 5
 
4.2%
か 5
 
4.2%
Other values (16) 38
31.9%
Punctuation
ValueCountFrequency (%)
※ 11
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
六 8
88.9%
金 1
 
11.1%
Math Operators
ValueCountFrequency (%)
∼ 5
100.0%
Geometric Shapes
ValueCountFrequency (%)
◎ 4
100.0%

교통정보
Text

MISSING 

Distinct4261
Distinct (%)78.3%
Missing86
Missing (%)1.6%
Memory size43.3 KiB
2024-05-11T03:53:56.230242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length162
Median length122
Mean length24.536187
Min length7

Characters and Unicode

Total characters133575
Distinct characters840
Distinct categories14 ?
Distinct scripts6 ?
Distinct blocks8 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3600 ?
Unique (%)66.1%

Sample

1st rowSubway Line 3, Anguk Station, Exit 2
2nd row地鐵3號線景福宮站2號出口，沿著2號出口和3號出口間的道路直行→ 於新村金庫十字路口左轉
3rd row地鐵9號線舊盤浦站3號出口
4th row7?? 江南??站4?出口 盆唐? 狎?亭?德?站4?出口
5th rowLine 5 Kkachisan Exit 3
ValueCountFrequency (%)
exit 1258
 
5.9%
line 1248
 
5.9%
station 1048
 
4.9%
출구 990
 
4.7%
subway 783
 
3.7%
3 698
 
3.3%
2 674
 
3.2%
4 432
 
2.0%
5 427
 
2.0%
1 385
 
1.8%
Other values (3034) 13340
62.7%
2024-05-11T03:53:57.188491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21138
 
15.8%
? 7567
 
5.7%
n 4728
 
3.5%
i 4668
 
3.5%
t 3957
 
3.0%
口 3575
 
2.7%
出 3415
 
2.6%
a 3276
 
2.5%
o 2992
 
2.2%
3 2657
 
2.0%
Other values (830) 75602
56.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43471
32.5%
Lowercase Letter 34660
25.9%
Space Separator 21139
15.8%
Decimal Number 14567
 
10.9%
Other Punctuation 10719
 
8.0%
Uppercase Letter 6514
 
4.9%
Open Punctuation 1107
 
0.8%
Close Punctuation 1106
 
0.8%
Dash Punctuation 265
 
0.2%
Math Symbol 21
 
< 0.1%
Other values (4) 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
口 3575
 
8.2%
出 3415
 
7.9%
線 2336
 
5.4%
號 2123
 
4.9%
站 1861
 
4.3%
ン 1473
 
3.4%
구 1344
 
3.1%
地 1340
 
3.1%
선 1189
 
2.7%
番 1154
 
2.7%
Other values (735) 23661
54.4%
Lowercase Letter
ValueCountFrequency (%)
n 4728
13.6%
i 4668
13.5%
t 3957
11.4%
a 3276
9.5%
o 2992
8.6%
e 2640
7.6%
u 1700
 
4.9%
g 1561
 
4.5%
x 1346
 
3.9%
y 1199
 
3.5%
Other values (16) 6593
19.0%
Uppercase Letter
ValueCountFrequency (%)
S 2091
32.1%
E 1365
21.0%
L 1313
20.2%
G 224
 
3.4%
A 222
 
3.4%
H 213
 
3.3%
J 146
 
2.2%
C 126
 
1.9%
B 120
 
1.8%
U 108
 
1.7%
Other values (14) 586
 
9.0%
Other Punctuation
ValueCountFrequency (%)
? 7567
70.6%
, 2274
 
21.2%
、 243
 
2.3%
/ 193
 
1.8%
& 100
 
0.9%
. 98
 
0.9%
* 91
 
0.8%
· 50
 
0.5%
' 42
 
0.4%
， 39
 
0.4%
Other values (3) 22
 
0.2%
Decimal Number
ValueCountFrequency (%)
3 2657
18.2%
2 2456
16.9%
1 2171
14.9%
5 1728
11.9%
4 1640
11.3%
6 1260
8.6%
7 982
 
6.7%
9 641
 
4.4%
0 528
 
3.6%
8 501
 
3.4%
Other values (3) 3
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
「 776
70.1%
( 322
29.1%
（ 7
 
0.6%
[ 2
 
0.2%
Close Punctuation
ValueCountFrequency (%)
」 775
70.1%
) 322
29.1%
） 7
 
0.6%
] 2
 
0.2%
Space Separator
ValueCountFrequency (%)
21138
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 264
99.6%
－ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
→ 17
81.0%
~ 4
 
19.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
50.0%
“ 1
50.0%
Control
ValueCountFrequency (%)
2
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 48930
36.6%
Latin 41174
30.8%
Han 25397
19.0%
Hangul 11329
 
8.5%
Katakana 6512
 
4.9%
Hiragana 233
 
0.2%

Most frequent character per script

Han
ValueCountFrequency (%)
口 3575
14.1%
出 3415
13.4%
線 2336
 
9.2%
號 2123
 
8.4%
站 1861
 
7.3%
地 1340
 
5.3%
番 1154
 
4.5%
下 784
 
3.1%
鐵 571
 
2.2%
路 220
 
0.9%
Other values (402) 8018
31.6%
Hangul
ValueCountFrequency (%)
구 1344
 
11.9%
선 1189
 
10.5%
번 1138
 
10.0%
출 1123
 
9.9%
역 1096
 
9.7%
호 1045
 
9.2%
로 155
 
1.4%
분 141
 
1.2%
정 118
 
1.0%
신 116
 
1.0%
Other values (228) 3864
34.1%
Katakana
ValueCountFrequency (%)
ン 1473
22.6%
ク 430
 
6.6%
ョ 420
 
6.4%
チ 270
 
4.1%
ム 244
 
3.7%
イ 197
 
3.0%
サ 191
 
2.9%
ッ 190
 
2.9%
ア 172
 
2.6%
ジ 166
 
2.5%
Other values (61) 2759
42.4%
Latin
ValueCountFrequency (%)
n 4728
 
11.5%
i 4668
 
11.3%
t 3957
 
9.6%
a 3276
 
8.0%
o 2992
 
7.3%
e 2640
 
6.4%
S 2091
 
5.1%
u 1700
 
4.1%
g 1561
 
3.8%
E 1365
 
3.3%
Other values (40) 12196
29.6%
Common
ValueCountFrequency (%)
21138
43.2%
? 7567
 
15.5%
3 2657
 
5.4%
2 2456
 
5.0%
, 2274
 
4.6%
1 2171
 
4.4%
5 1728
 
3.5%
4 1640
 
3.4%
6 1260
 
2.6%
7 982
 
2.0%
Other values (35) 5057
 
10.3%
Hiragana
ValueCountFrequency (%)
か 75
32.2%
ら 74
31.8%
で 15
 
6.4%
り 11
 
4.7%
の 10
 
4.3%
に 9
 
3.9%
よ 6
 
2.6%
し 6
 
2.6%
を 4
 
1.7%
た 3
 
1.3%
Other values (14) 20
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 88176
66.0%
CJK 25397
 
19.0%
Hangul 11329
 
8.5%
Katakana 6512
 
4.9%
None 1908
 
1.4%
Hiragana 233
 
0.2%
Arrows 17
 
< 0.1%
Punctuation 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21138
24.0%
? 7567
 
8.6%
n 4728
 
5.4%
i 4668
 
5.3%
t 3957
 
4.5%
a 3276
 
3.7%
o 2992
 
3.4%
3 2657
 
3.0%
e 2640
 
3.0%
2 2456
 
2.8%
Other values (67) 32097
36.4%
CJK
ValueCountFrequency (%)
口 3575
14.1%
出 3415
13.4%
線 2336
 
9.2%
號 2123
 
8.4%
站 1861
 
7.3%
地 1340
 
5.3%
番 1154
 
4.5%
下 784
 
3.1%
鐵 571
 
2.2%
路 220
 
0.9%
Other values (402) 8018
31.6%
Katakana
ValueCountFrequency (%)
ン 1473
22.6%
ク 430
 
6.6%
ョ 420
 
6.4%
チ 270
 
4.1%
ム 244
 
3.7%
イ 197
 
3.0%
サ 191
 
2.9%
ッ 190
 
2.9%
ア 172
 
2.6%
ジ 166
 
2.5%
Other values (61) 2759
42.4%
Hangul
ValueCountFrequency (%)
구 1344
 
11.9%
선 1189
 
10.5%
번 1138
 
10.0%
출 1123
 
9.9%
역 1096
 
9.7%
호 1045
 
9.2%
로 155
 
1.4%
분 141
 
1.2%
정 118
 
1.0%
신 116
 
1.0%
Other values (228) 3864
34.1%
None
ValueCountFrequency (%)
「 776
40.7%
」 775
40.6%
、 243
 
12.7%
· 50
 
2.6%
， 39
 
2.0%
） 7
 
0.4%
（ 7
 
0.4%
。 5
 
0.3%
　 1
 
0.1%
５ 1
 
0.1%
Other values (4) 4
 
0.2%
Hiragana
ValueCountFrequency (%)
か 75
32.2%
ら 74
31.8%
で 15
 
6.4%
り 11
 
4.7%
の 10
 
4.3%
に 9
 
3.9%
よ 6
 
2.6%
し 6
 
2.6%
を 4
 
1.7%
た 3
 
1.3%
Other values (14) 20
 
8.6%
Arrows
ValueCountFrequency (%)
→ 17
100.0%
Punctuation
ValueCountFrequency (%)
‘ 1
33.3%
“ 1
33.3%
” 1
33.3%

홈페이지 언어
Text

MISSING 

Distinct87
Distinct (%)8.1%
Missing4457
Missing (%)80.6%
Memory size43.3 KiB
2024-05-11T03:53:57.599210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length3
Mean length3.8238583
Min length2

Characters and Unicode

Total characters4103
Distinct characters73
Distinct categories8 ?
Distinct scripts5 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)4.0%

Sample

1st row韓文
2nd row韓?語
3rd row韓?語
4th row韓文、英文、中文
5th row한국어
ValueCountFrequency (%)
kor 235
20.5%
韓?語 208
18.1%
韓文 190
16.6%
한국어 109
9.5%
99
8.6%
korean 24
 
2.1%
kor,eng 21
 
1.8%
eng 21
 
1.8%
한국어,영어 19
 
1.7%
韓文、英文 16
 
1.4%
Other values (56) 206
17.9%
2024-05-11T03:53:58.357995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
? 554
13.5%
韓 489
11.9%
語 332
 
8.1%
文 301
 
7.3%
K 295
 
7.2%
R 268
 
6.5%
O 266
 
6.5%
, 221
 
5.4%
어 182
 
4.4%
국 138
 
3.4%
Other values (63) 1057
25.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1840
44.8%
Uppercase Letter 1082
26.4%
Other Punctuation 893
21.8%
Lowercase Letter 205
 
5.0%
Space Separator 76
 
1.9%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
韓 489
26.6%
語 332
18.0%
文 301
16.4%
어 182
 
9.9%
국 138
 
7.5%
한 129
 
7.0%
英 110
 
6.0%
영 35
 
1.9%
日 33
 
1.8%
中 28
 
1.5%
Other values (29) 63
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
K 295
27.3%
R 268
24.8%
O 266
24.6%
N 80
 
7.4%
E 61
 
5.6%
G 52
 
4.8%
J 15
 
1.4%
C 15
 
1.4%
P 14
 
1.3%
H 13
 
1.2%
Other values (3) 3
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
n 36
17.6%
e 33
16.1%
a 31
15.1%
r 29
14.1%
o 29
14.1%
h 10
 
4.9%
s 10
 
4.9%
i 9
 
4.4%
l 8
 
3.9%
g 8
 
3.9%
Other values (2) 2
 
1.0%
Other Punctuation
ValueCountFrequency (%)
? 554
62.0%
, 221
 
24.7%
、 66
 
7.4%
· 48
 
5.4%
/ 4
 
0.4%
Space Separator
ValueCountFrequency (%)
76
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Han 1315
32.0%
Latin 1287
31.4%
Common 976
23.8%
Hangul 524
 
12.8%
Hiragana 1
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
K 295
22.9%
R 268
20.8%
O 266
20.7%
N 80
 
6.2%
E 61
 
4.7%
G 52
 
4.0%
n 36
 
2.8%
e 33
 
2.6%
a 31
 
2.4%
r 29
 
2.3%
Other values (15) 136
10.6%
Hangul
ValueCountFrequency (%)
어 182
34.7%
국 138
26.3%
한 129
24.6%
영 35
 
6.7%
일 9
 
1.7%
중 8
 
1.5%
본 7
 
1.3%
문 3
 
0.6%
프 1
 
0.2%
스 1
 
0.2%
Other values (11) 11
 
2.1%
Han
ValueCountFrequency (%)
韓 489
37.2%
語 332
25.2%
文 301
22.9%
英 110
 
8.4%
日 33
 
2.5%
中 28
 
2.1%
本 12
 
0.9%
可 1
 
0.1%
能 1
 
0.1%
國 1
 
0.1%
Other values (7) 7
 
0.5%
Common
ValueCountFrequency (%)
? 554
56.8%
, 221
 
22.6%
76
 
7.8%
、 66
 
6.8%
· 48
 
4.9%
/ 4
 
0.4%
) 3
 
0.3%
( 3
 
0.3%
- 1
 
0.1%
Hiragana
ValueCountFrequency (%)
で 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2149
52.4%
CJK 1315
32.0%
Hangul 524
 
12.8%
None 114
 
2.8%
Hiragana 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
? 554
25.8%
K 295
13.7%
R 268
12.5%
O 266
12.4%
, 221
 
10.3%
N 80
 
3.7%
76
 
3.5%
E 61
 
2.8%
G 52
 
2.4%
n 36
 
1.7%
Other values (22) 240
11.2%
CJK
ValueCountFrequency (%)
韓 489
37.2%
語 332
25.2%
文 301
22.9%
英 110
 
8.4%
日 33
 
2.5%
中 28
 
2.1%
本 12
 
0.9%
可 1
 
0.1%
能 1
 
0.1%
國 1
 
0.1%
Other values (7) 7
 
0.5%
Hangul
ValueCountFrequency (%)
어 182
34.7%
국 138
26.3%
한 129
24.6%
영 35
 
6.7%
일 9
 
1.7%
중 8
 
1.5%
본 7
 
1.3%
문 3
 
0.6%
프 1
 
0.2%
스 1
 
0.2%
Other values (11) 11
 
2.1%
None
ValueCountFrequency (%)
、 66
57.9%
· 48
42.1%
Hiragana
ValueCountFrequency (%)
で 1
100.0%

대표메뉴
Text

MISSING 

Distinct2451
Distinct (%)75.3%
Missing2274
Missing (%)41.1%
Memory size43.3 KiB
2024-05-11T03:53:58.764387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length328
Median length148
Mean length19.96898
Min length1

Characters and Unicode

Total characters65019
Distinct characters1530
Distinct categories13 ?
Distinct scripts6 ?
Distinct blocks9 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2184 ?
Unique (%)67.1%

Sample

1st row比?、意大利面
2nd rowGrilled Beef
3rd row?牛肉
4th row巧克力面包,法式面包
5th row??廳
ValueCountFrequency (%)
280
 
2.8%
krw 160
 
1.6%
chicken 121
 
1.2%
beef 81
 
0.8%
grilled 80
 
0.8%
soup 70
 
0.7%
korean 44
 
0.4%
and 40
 
0.4%
with 38
 
0.4%
set 38
 
0.4%
Other values (4674) 8977
90.4%
2024-05-11T03:53:59.800813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7128
 
11.0%
? 2938
 
4.5%
, 2752
 
4.2%
0 2411
 
3.7%
e 2046
 
3.1%
a 1520
 
2.3%
i 1301
 
2.0%
o 1155
 
1.8%
r 998
 
1.5%
n 951
 
1.5%
Other values (1520) 41819
64.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26916
41.4%
Lowercase Letter 15550
23.9%
Space Separator 7132
 
11.0%
Other Punctuation 6703
 
10.3%
Decimal Number 4200
 
6.5%
Uppercase Letter 3074
 
4.7%
Open Punctuation 568
 
0.9%
Close Punctuation 567
 
0.9%
Dash Punctuation 189
 
0.3%
Math Symbol 67
 
0.1%
Other values (3) 53
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
ン 601
 
2.2%
牛 359
 
1.3%
肉 342
 
1.3%
韓 328
 
1.2%
元 325
 
1.2%
ル 311
 
1.2%
이 311
 
1.2%
料 296
 
1.1%
理 290
 
1.1%
스 285
 
1.1%
Other values (1427) 23468
87.2%
Lowercase Letter
ValueCountFrequency (%)
e 2046
13.2%
a 1520
 
9.8%
i 1301
 
8.4%
o 1155
 
7.4%
r 998
 
6.4%
n 951
 
6.1%
s 866
 
5.6%
l 856
 
5.5%
t 722
 
4.6%
d 616
 
4.0%
Other values (16) 4519
29.1%
Uppercase Letter
ValueCountFrequency (%)
S 447
14.5%
C 311
10.1%
R 289
 
9.4%
B 271
 
8.8%
K 269
 
8.8%
W 202
 
6.6%
P 168
 
5.5%
T 137
 
4.5%
M 128
 
4.2%
G 117
 
3.8%
Other values (15) 735
23.9%
Other Punctuation
ValueCountFrequency (%)
? 2938
43.8%
, 2752
41.1%
、 543
 
8.1%
\ 114
 
1.7%
/ 87
 
1.3%
， 66
 
1.0%
： 58
 
0.9%
· 54
 
0.8%
: 26
 
0.4%
& 21
 
0.3%
Other values (7) 44
 
0.7%
Decimal Number
ValueCountFrequency (%)
0 2411
57.4%
5 403
 
9.6%
2 275
 
6.5%
1 233
 
5.5%
3 217
 
5.2%
6 192
 
4.6%
4 148
 
3.5%
8 127
 
3.0%
9 117
 
2.8%
7 77
 
1.8%
Math Symbol
ValueCountFrequency (%)
+ 25
37.3%
~ 25
37.3%
| 16
23.9%
＋ 1
 
1.5%
Space Separator
ValueCountFrequency (%)
7128
99.9%
　 4
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 530
93.3%
（ 38
 
6.7%
Close Punctuation
ValueCountFrequency (%)
) 524
92.4%
） 43
 
7.6%
Other Symbol
ValueCountFrequency (%)
● 10
90.9%
─ 1
 
9.1%
Dash Punctuation
ValueCountFrequency (%)
- 189
100.0%
Control
ValueCountFrequency (%)
35
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19479
30.0%
Latin 18624
28.6%
Hangul 11855
18.2%
Han 8549
13.1%
Katakana 5603
 
8.6%
Hiragana 909
 
1.4%

Most frequent character per script

Han
ValueCountFrequency (%)
牛 359
 
4.2%
肉 342
 
4.0%
韓 328
 
3.8%
元 325
 
3.8%
料 296
 
3.5%
理 290
 
3.4%
式 179
 
2.1%
餐 139
 
1.6%
排 136
 
1.6%
面 133
 
1.6%
Other values (649) 6022
70.4%
Hangul
ValueCountFrequency (%)
이 311
 
2.6%
스 285
 
2.4%
비 206
 
1.7%
리 186
 
1.6%
치 182
 
1.5%
수 179
 
1.5%
탕 175
 
1.5%
식 170
 
1.4%
원 166
 
1.4%
국 166
 
1.4%
Other values (630) 9829
82.9%
Katakana
ValueCountFrequency (%)
ン 601
 
10.7%
ル 311
 
5.6%
ス 270
 
4.8%
カ 197
 
3.5%
チ 172
 
3.1%
ビ 157
 
2.8%
ク 152
 
2.7%
タ 145
 
2.6%
プ 130
 
2.3%
コ 130
 
2.3%
Other values (68) 3338
59.6%
Hiragana
ValueCountFrequency (%)
の 145
 
16.0%
し 64
 
7.0%
き 64
 
7.0%
ん 50
 
5.5%
り 44
 
4.8%
ゃ 38
 
4.2%
け 36
 
4.0%
ぶ 34
 
3.7%
と 28
 
3.1%
せ 27
 
3.0%
Other values (50) 379
41.7%
Latin
ValueCountFrequency (%)
e 2046
 
11.0%
a 1520
 
8.2%
i 1301
 
7.0%
o 1155
 
6.2%
r 998
 
5.4%
n 951
 
5.1%
s 866
 
4.6%
l 856
 
4.6%
t 722
 
3.9%
d 616
 
3.3%
Other values (41) 7593
40.8%
Common
ValueCountFrequency (%)
7128
36.6%
? 2938
15.1%
, 2752
 
14.1%
0 2411
 
12.4%
、 543
 
2.8%
( 530
 
2.7%
) 524
 
2.7%
5 403
 
2.1%
2 275
 
1.4%
1 233
 
1.2%
Other values (32) 1742
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 37274
57.3%
Hangul 11855
 
18.2%
CJK 8549
 
13.1%
Katakana 5603
 
8.6%
Hiragana 909
 
1.4%
None 811
 
1.2%
Geometric Shapes 10
 
< 0.1%
Punctuation 7
 
< 0.1%
Box Drawing 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7128
19.1%
? 2938
 
7.9%
, 2752
 
7.4%
0 2411
 
6.5%
e 2046
 
5.5%
a 1520
 
4.1%
i 1301
 
3.5%
o 1155
 
3.1%
r 998
 
2.7%
n 951
 
2.6%
Other values (70) 14074
37.8%
Katakana
ValueCountFrequency (%)
ン 601
 
10.7%
ル 311
 
5.6%
ス 270
 
4.8%
カ 197
 
3.5%
チ 172
 
3.1%
ビ 157
 
2.8%
ク 152
 
2.7%
タ 145
 
2.6%
プ 130
 
2.3%
コ 130
 
2.3%
Other values (68) 3338
59.6%
None
ValueCountFrequency (%)
、 543
67.0%
， 66
 
8.1%
： 58
 
7.2%
· 54
 
6.7%
） 43
 
5.3%
（ 38
 
4.7%
　 4
 
0.5%
＆ 3
 
0.4%
＋ 1
 
0.1%
。 1
 
0.1%
CJK
ValueCountFrequency (%)
牛 359
 
4.2%
肉 342
 
4.0%
韓 328
 
3.8%
元 325
 
3.8%
料 296
 
3.5%
理 290
 
3.4%
式 179
 
2.1%
餐 139
 
1.6%
排 136
 
1.6%
面 133
 
1.6%
Other values (649) 6022
70.4%
Hangul
ValueCountFrequency (%)
이 311
 
2.6%
스 285
 
2.4%
비 206
 
1.7%
리 186
 
1.6%
치 182
 
1.5%
수 179
 
1.5%
탕 175
 
1.5%
식 170
 
1.4%
원 166
 
1.4%
국 166
 
1.4%
Other values (630) 9829
82.9%
Hiragana
ValueCountFrequency (%)
の 145
 
16.0%
し 64
 
7.0%
き 64
 
7.0%
ん 50
 
5.5%
り 44
 
4.8%
ゃ 38
 
4.2%
け 36
 
4.0%
ぶ 34
 
3.7%
と 28
 
3.1%
せ 27
 
3.0%
Other values (50) 379
41.7%
Geometric Shapes
ValueCountFrequency (%)
● 10
100.0%
Punctuation
ValueCountFrequency (%)
’ 7
100.0%
Box Drawing
ValueCountFrequency (%)
─ 1
100.0%

Interactions

2024-05-11T03:53:35.627462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-05-11T03:54:00.073700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호언어홈페이지 언어
고유번호1.0000.1990.494
언어0.1991.0001.000
홈페이지 언어0.4941.0001.000
2024-05-11T03:54:00.347004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
고유번호언어
고유번호1.0000.084
언어0.0841.000

Missing values

2024-05-11T03:53:36.159433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-11T03:53:37.047571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2024-05-11T03:53:37.905818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

고유번호언어상호명콘텐츠URL주소신주소전화번호웹사이트운영시간교통정보홈페이지 언어대표메뉴
01214enRomanee Contihttps://english.visitseoul.net/restaurants/Romanee-Conti/ENP001211?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP001211110-240 72-1, Anguk-dong, Jongno-gu, Seoul03060 30-20, Bukchon-ro 1-gil, Jongno-gu, Seoul+82-2-722-4776<NA>Monday-Friday 11:30-23:00, Saturday 16:00-23:00 KSTSubway Line 3, Anguk Station, Exit 2<NA><NA>
1285zh-TW通仁市場https://tchinese.visitseoul.net/restaurants/通仁市場-CB/TCP000281?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP000281110-043 首爾市鍾路區通仁洞 10-303036 首爾市鍾路區紫霞門路15街18+82-2-722-0911https://tonginmarket.modoo.at/07:00~21:00 KST (依店家而有所不同) 便當cafe營業時間 週二~週五 11:00~16:00 KST，週六~週日 11:00~17:00 KST ※便當cafe銅錢銷?時間：平日11:00~15:00 KST，週末11:00~16:00 KST地鐵3號線景福宮站2號出口，沿著2號出口和3號出口間的道路直行→ 於新村金庫十字路口左轉<NA><NA>
21692zh-TWApple House<NA>137-811 首爾市瑞草區盤浦洞97806548 首爾市瑞草區新盤浦路50+82-2-595-1629<NA>10:00 ~ 21:30地鐵9號線舊盤浦站3號出口<NA><NA>
31063zh-CNGoshenhttps://chinese.visitseoul.net/restaurants/Goshen-CN/CNP001056?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP001056135-95406014 首?市江南?宣陵路158街18+82-2-515-1863http://www.i-goshen.net11:30~04:30 KST7?? 江南??站4?出口 盆唐? 狎?亭?德?站4?出口<NA>比?、意大利面
47140enHanu Hanmarihttps://english.visitseoul.net/restaurants/Hanu-Hanmari2/ENP007140?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP00714007779 Hwagok 1(il)-dong, Gangseo-gu, Seoul 910-2307779 65, Gangseo-ro 5na-gil, Gangseo-gu, Seoul+82-2-2065-1616<NA>Open 24 hoursLine 5 Kkachisan Exit 3<NA>Grilled Beef
57142zh-TW一隻韓牛https://tchinese.visitseoul.net/restaurants/一隻韓牛5/TCP007140?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP00714007779 首爾市江西區禾谷1洞 910-2307779 首爾市江西區江西路5na街65+82-2-2065-1616<NA>24小時營業5號線 喜鵲山 3號出口<NA>?牛肉
61070zh-TWDublin Terracehttps://tchinese.visitseoul.net/restaurants/Dublin-Terrace-TC/TCP001064?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP001064135-908 首爾市江南區驛三洞635-606130 首爾市江南區江南大路94街27-15+82-2-555-2553<NA>15:00~01:00 KST地鐵2號線江南站11,12號出口<NA><NA>
71082zh-CNGuillaumehttps://chinese.visitseoul.net/restaurants/Guillaume-CN/CNP001077?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP001077135-95406014 首?市江南?宣陵路152街17+82-2-512-6701<NA>平日11:00~24:00, 周末10:00~24:00 KST3?? 狎?亭站3?出口 盆唐? 狎?亭?德?站4?出口步行5分?<NA>巧克力面包,法式面包
81100enCoffee Bangatganhttps://english.visitseoul.net/restaurants/Coffee-Bangatgan-EN/ENP001097?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP001097110-210 102-1, Hwa-dong, Jongno-gu, Seoul, Korea03053 8-11, Bukchon-ro 5ga-gil, Jongno-gu, Seoul, Korea+82-2-732-7656<NA>Daily 08:30 - 23:00Subway Line 3, Anguk Station, Exit 2 (600 m on foot)<NA><NA>
930857zh-TW禹富來道https://tchinese.visitseoul.net/restaurants/禹富來道/TCP030811?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP030811首爾市銅雀區上道1洞666-306968 首爾市銅雀區上道路37街3(上道1洞)+82-507-1428-0599https://www.instagram.com/ooh_breado/10:00~22:00 (KST)7號線上道站5號出口步行97公尺韓文<NA>
고유번호언어상호명콘텐츠URL주소신주소전화번호웹사이트운영시간교통정보홈페이지 언어대표메뉴
55205600ko마당https://korean.visitseoul.net/restaurants/마당/KOP005599?utm_source=seoulopendata&utm_medium=restaurants&utm_content=KOP005599135-895 서울 강남구 신사동 630-26 630-2606021 서울 강남구 도산대로45길 7 (신사동, 에르메스도산파크)02-546-3643<NA>월~토 11:00~19:00, 일요일 12:00~19:003호선 압구정역 3번 출구 분당선 압구정로데오역 5번 출구<NA>카페
55216146zh-CN小?(Ozawa)https://chinese.visitseoul.net/restaurants/小?Ozawa-CN/CNP006145?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP006145121-840 395-36, Seogyo-dong, Mapo-gu, Seoul, Korea 395-3604044 首?市麻浦?翁幕路3街21+82-507-1395-5554<NA>11:30 ~ 14:30 / 17:00 ~ 22:00 (KST)<NA><NA><NA>
552242543zh-CN[百年老店] Bakehousehttps://chinese.visitseoul.net/restaurants/百年老店-Bakehouse/CNP042259?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP04225906094 首?市江南?奉恩寺路71街49 1F(三成洞)+82-2-543-7881http://instagram.com/park_bakehouse08:00 ~ 21:00 (KST)?潭站 7?出口<NA>所有面包，豆沙面包，?油面包，法棍
55236884zh-CN仁寺洞Bong??店(Insadong Ppongdabang)https://chinese.visitseoul.net/restaurants/Insadong-Ppongdabang-CN/CNP006880?utm_source=seoulopendata&utm_medium=restaurants&utm_content=CNP006880110-300 首??路???洞 2-203148 首?市?路?仁寺洞街30-10+82-2-737-5019<NA>10:00 - 23:00 (KST)3?? 安?站5?出口<NA><NA>
552442097zh-TWConhas 延禧店https://tchinese.visitseoul.net/restaurants/Conhas延禧店-TCN/TCP042093?utm_source=seoulopendata&utm_medium=restaurants&utm_content=TCP04209303698 首爾市西大門區延禧路27街99+82-2-325-0792https://www.instagram.com/conhascoffee_co.ltd/10:00 ~ 22:30 (KST)2號線 機場鐵路 京義中央線 弘大入口站 5號出口韓語<NA>
552541663jaRafre fruithttps://japanese.visitseoul.net/restaurants/Rafrefruit-JPN/JPP041661?utm_source=seoulopendata&utm_medium=restaurants&utm_content=JPP04166104768 ソウル市ソンドング(城東)?ソウルの森2ギル8-8、2階+82-507-1383-7415http://instagram.com/rafre_fruit火~金 13:00~19:00、土~日 13:00~20:00 KST地下?2?線「トゥクソム」?8番出口<NA><NA>
552642266ko[백년가게] 프랑세즈과자점https://korean.visitseoul.net/restaurants/백년가게-프랑세즈과자점/KOP042266?utm_source=seoulopendata&utm_medium=restaurants&utm_content=KOP042266서울 금천구 독산동 876-308547 서울 금천구 남부순환로 1392 (독산동)02-854-1213<NA>매일 07:00 ~ 24:00<NA><NA>육쪽마늘빵, 호두파이, 크림치즈모카빵, 양파빵
552742256enFigure and Groundhttps://english.visitseoul.net/restaurants/Figure-and-Ground/ENP042255?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP04225506036 53, Nonhyeon-ro 153-gil, Gangnam-gu, Seoul<NA><NA>Ground level caf?, Conflict Store : Daily 11:00 ~ 22:00<NA><NA><NA>
552842095jaCONHASヨンヒ店https://japanese.visitseoul.net/restaurants/CONHASヨンヒ店/JPP042093?utm_source=seoulopendata&utm_medium=restaurants&utm_content=JPP04209303698 ソウル市ソデムン(西大門)?ヨンヒロ27ギル99+82-2-325-0792https://www.instagram.com/conhascoffee_co.ltd/10:00 ~ 22:30 (KST)地下?2?線/空港?道/キョンイ·チュンアン線「ホンデイプク」?5番出口韓?語<NA>
552940805enALPEDOhttps://english.visitseoul.net/restaurants/ALPEDO/ENP040796?utm_source=seoulopendata&utm_medium=restaurants&utm_content=ENP04079604391 Room 4-5, 1st floor, 174, Itaewon-ro, Yongsan-gu, Seoul+82-2-794-1134http://instagram.com/alpedobakeryDaily 08:00 - 23:00 (KST)Subway Line 6, Itaewon Station, Exit 4KOR<NA>