Overview

Dataset statistics

Number of variables28
Number of observations9502
Missing cells8777
Missing cells (%)3.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory227.0 B

Variable types

Text13
Categorical11
Numeric3
DateTime1

Dataset

Description- 발렛주차, 애완동물 동반입장, 채식메뉴, 글루텐프리 등 상세정보를 포함하는 전국 세계 음식점 데이터입니다. - 컬럼 "최종작성일" 기준으로 구축되었기 때문에, 조회 시점 별로 정보가 상이할 수 있습니다.
Author한국문화정보원
URLhttps://www.data.go.kr/data/15111398/fileData.do

Alerts

카테고리1 has constant value ""Constant
발렛주차 가능여부 is highly imbalanced (98.2%)Imbalance
유아의자 대여여부 is highly imbalanced (92.1%)Imbalance
휠체어 보유여부 is highly imbalanced (93.6%)Imbalance
애완동물 동반입장 가능여부 is highly imbalanced (71.1%)Imbalance
채식메뉴 보유여부 is highly imbalanced (94.9%)Imbalance
할랄음식 여부 is highly imbalanced (97.6%)Imbalance
글루텐프리 음식여부 is highly imbalanced (98.9%)Imbalance
리 명칭 has 8700 (91.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 17:17:55.431984
Analysis finished2023-12-12 17:17:58.839631
Duration3.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

Distinct7598
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:17:59.088526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length42
Median length34
Mean length5.7841507
Min length1

Characters and Unicode

Total characters54961
Distinct characters1035
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7095 ?
Unique (%)74.7%

Sample

1st row0731양꼬치
2nd row08001BARCELONA
3rd row10.5INCH
4th row1000란무까타
5th row100하노이쌀국수
ValueCountFrequency (%)
사이공본가 280
 
2.4%
에머이 111
 
1.0%
95
 
0.8%
포메인 92
 
0.8%
배달의쌀국수 69
 
0.6%
호아빈 69
 
0.6%
미소야 48
 
0.4%
매드포갈릭 42
 
0.4%
월남선생 42
 
0.4%
도스마스 38
 
0.3%
Other values (7975) 10711
92.4%
2023-12-13T02:17:59.633309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 2292
 
4.2%
2102
 
3.8%
스 1992
 
3.6%
점 1411
 
2.6%
리 1365
 
2.5%
아 1027
 
1.9%
라 775
 
1.4%
타 758
 
1.4%
포 743
 
1.4%
사 575
 
1.0%
Other values (1025) 41921
76.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46591
84.8%
Uppercase Letter 3498
 
6.4%
Space Separator 2102
 
3.8%
Lowercase Letter 1695
 
3.1%
Decimal Number 895
 
1.6%
Other Punctuation 96
 
0.2%
Dash Punctuation 84
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2292
 
4.9%
스 1992
 
4.3%
점 1411
 
3.0%
리 1365
 
2.9%
아 1027
 
2.2%
라 775
 
1.7%
타 758
 
1.6%
포 743
 
1.6%
사 575
 
1.2%
트 570
 
1.2%
Other values (957) 35083
75.3%
Uppercase Letter
ValueCountFrequency (%)
A 366
 
10.5%
O 330
 
9.4%
E 258
 
7.4%
I 233
 
6.7%
T 232
 
6.6%
N 217
 
6.2%
S 203
 
5.8%
R 183
 
5.2%
H 164
 
4.7%
L 160
 
4.6%
Other values (16) 1152
32.9%
Lowercase Letter
ValueCountFrequency (%)
a 240
14.2%
n 173
10.2%
o 170
10.0%
e 169
10.0%
i 119
 
7.0%
r 113
 
6.7%
t 102
 
6.0%
u 85
 
5.0%
s 77
 
4.5%
h 64
 
3.8%
Other values (15) 383
22.6%
Decimal Number
ValueCountFrequency (%)
1 160
17.9%
2 154
17.2%
0 96
10.7%
3 90
10.1%
4 79
8.8%
8 74
8.3%
9 72
8.0%
7 60
 
6.7%
5 60
 
6.7%
6 50
 
5.6%
Other Punctuation
ValueCountFrequency (%)
. 44
45.8%
& 38
39.6%
' 9
 
9.4%
, 4
 
4.2%
% 1
 
1.0%
Space Separator
ValueCountFrequency (%)
2102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 84
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46591
84.8%
Latin 5193
 
9.4%
Common 3177
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2292
 
4.9%
스 1992
 
4.3%
점 1411
 
3.0%
리 1365
 
2.9%
아 1027
 
2.2%
라 775
 
1.7%
타 758
 
1.6%
포 743
 
1.6%
사 575
 
1.2%
트 570
 
1.2%
Other values (957) 35083
75.3%
Latin
ValueCountFrequency (%)
A 366
 
7.0%
O 330
 
6.4%
E 258
 
5.0%
a 240
 
4.6%
I 233
 
4.5%
T 232
 
4.5%
N 217
 
4.2%
S 203
 
3.9%
R 183
 
3.5%
n 173
 
3.3%
Other values (41) 2758
53.1%
Common
ValueCountFrequency (%)
2102
66.2%
1 160
 
5.0%
2 154
 
4.8%
0 96
 
3.0%
3 90
 
2.8%
- 84
 
2.6%
4 79
 
2.5%
8 74
 
2.3%
9 72
 
2.3%
7 60
 
1.9%
Other values (7) 206
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46591
84.8%
ASCII 8370
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 2292
 
4.9%
스 1992
 
4.3%
점 1411
 
3.0%
리 1365
 
2.9%
아 1027
 
2.2%
라 775
 
1.7%
타 758
 
1.6%
포 743
 
1.6%
사 575
 
1.2%
트 570
 
1.2%
Other values (957) 35083
75.3%
ASCII
ValueCountFrequency (%)
2102
25.1%
A 366
 
4.4%
O 330
 
3.9%
E 258
 
3.1%
a 240
 
2.9%
I 233
 
2.8%
T 232
 
2.8%
N 217
 
2.6%
S 203
 
2.4%
R 183
 
2.2%
Other values (58) 4006
47.9%

카테고리1
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
음식점/유흥시설
9502 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row음식점/유흥시설
2nd row음식점/유흥시설
3rd row음식점/유흥시설
4th row음식점/유흥시설
5th row음식점/유흥시설

Common Values

ValueCountFrequency (%)
음식점/유흥시설 9502
100.0%

Length

2023-12-13T02:17:59.784814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:17:59.893512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
음식점/유흥시설 9502
100.0%

카테고리2
Categorical

Distinct16
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
동남아시아음식
3769 
유럽음식
3169 
동아시아음식
1284 
인도아시아음식
473 
남미음식
428 
Other values (11)
379 

Length

Max length7
Median length6
Mean length5.6189223
Min length4

Unique

Unique4 ?
Unique (%)< 0.1%

Sample

1st row동아시아음식
2nd row동남아시아음식
3rd row유럽음식
4th row동남아시아음식
5th row동남아시아음식

Common Values

ValueCountFrequency (%)
동남아시아음식 3769
39.7%
유럽음식 3169
33.4%
동아시아음식 1284
 
13.5%
인도아시아음식 473
 
5.0%
남미음식 428
 
4.5%
북미음식 289
 
3.0%
중동음식 31
 
0.3%
지중해음식 24
 
0.3%
아시아음식 15
 
0.2%
오세아니아음식 12
 
0.1%
Other values (6) 8
 
0.1%

Length

2023-12-13T02:18:00.011184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동남아시아음식 3769
39.7%
유럽음식 3169
33.4%
동아시아음식 1284
 
13.5%
인도아시아음식 473
 
5.0%
남미음식 428
 
4.5%
북미음식 289
 
3.0%
중동음식 31
 
0.3%
지중해음식 24
 
0.3%
아시아음식 15
 
0.2%
오세아니아음식 12
 
0.1%
Other values (6) 8
 
0.1%

카테고리3
Text

Distinct179
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:00.213750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length25
Mean length3.0896653
Min length2

Characters and Unicode

Total characters29358
Distinct characters116
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

Unique95 ?
Unique (%)1.0%

Sample

1st row인도
2nd row기타
3rd row이탈리아
4th row기타
5th row베트남
ValueCountFrequency (%)
이탈리아 2884
28.8%
베트남 1800
18.0%
인도 1418
14.1%
일본 804
 
8.0%
기타 691
 
6.9%
중국 477
 
4.8%
멕시코 402
 
4.0%
태국 368
 
3.7%
미국 294
 
2.9%
프랑스 221
 
2.2%
Other values (64) 667
 
6.7%
2023-12-13T02:18:00.603395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 3270
11.1%
리 2941
 
10.0%
이 2897
 
9.9%
탈 2884
 
9.8%
남 1827
 
6.2%
베 1812
 
6.2%
트 1804
 
6.1%
인 1483
 
5.1%
도 1431
 
4.9%
국 1159
 
3.9%
Other values (106) 7850
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28833
98.2%
Space Separator 524
 
1.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 3270
11.3%
리 2941
10.2%
이 2897
 
10.0%
탈 2884
 
10.0%
남 1827
 
6.3%
베 1812
 
6.3%
트 1804
 
6.3%
인 1483
 
5.1%
도 1431
 
5.0%
국 1159
 
4.0%
Other values (104) 7325
25.4%
Space Separator
ValueCountFrequency (%)
524
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28833
98.2%
Common 525
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 3270
11.3%
리 2941
10.2%
이 2897
 
10.0%
탈 2884
 
10.0%
남 1827
 
6.3%
베 1812
 
6.3%
트 1804
 
6.3%
인 1483
 
5.1%
도 1431
 
5.0%
국 1159
 
4.0%
Other values (104) 7325
25.4%
Common
ValueCountFrequency (%)
524
99.8%
, 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28833
98.2%
ASCII 525
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 3270
11.3%
리 2941
10.2%
이 2897
 
10.0%
탈 2884
 
10.0%
남 1827
 
6.3%
베 1812
 
6.3%
트 1804
 
6.3%
인 1483
 
5.1%
도 1431
 
5.0%
국 1159
 
4.0%
Other values (104) 7325
25.4%
ASCII
ValueCountFrequency (%)
524
99.8%
, 1
 
0.2%

시도 명칭
Categorical

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
서울특별시
3414 
경기도
2167 
부산광역시
692 
인천광역시
512 
대구광역시
383 
Other values (13)
2334 

Length

Max length7
Median length5
Mean length4.4552726
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row경기도
2nd row충청남도
3rd row경기도
4th row경기도
5th row서울특별시

Common Values

ValueCountFrequency (%)
서울특별시 3414
35.9%
경기도 2167
22.8%
부산광역시 692
 
7.3%
인천광역시 512
 
5.4%
대구광역시 383
 
4.0%
경상남도 317
 
3.3%
대전광역시 304
 
3.2%
제주특별자치도 283
 
3.0%
경상북도 232
 
2.4%
충청남도 218
 
2.3%
Other values (8) 980
 
10.3%

Length

2023-12-13T02:18:00.773127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
서울특별시 3414
35.9%
경기도 2167
22.8%
부산광역시 692
 
7.3%
인천광역시 512
 
5.4%
대구광역시 383
 
4.0%
경상남도 317
 
3.3%
대전광역시 304
 
3.2%
제주특별자치도 283
 
3.0%
경상북도 232
 
2.4%
충청남도 218
 
2.3%
Other values (8) 980
 
10.3%

시군구 명칭
Text

Distinct216
Distinct (%)2.3%
Missing47
Missing (%)0.5%
Memory size74.4 KiB
2023-12-13T02:18:01.132275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length3
Mean length3.6561608
Min length2

Characters and Unicode

Total characters34569
Distinct characters140
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

Unique27 ?
Unique (%)0.3%

Sample

1st row안산시 단원구
2nd row공주시
3rd row수원시 팔달구
4th row평택시
5th row중구
ValueCountFrequency (%)
강남구 584
 
5.3%
중구 536
 
4.8%
용산구 420
 
3.8%
마포구 363
 
3.3%
성남시 337
 
3.0%
분당구 282
 
2.5%
수원시 261
 
2.4%
종로구 244
 
2.2%
서초구 242
 
2.2%
서구 216
 
2.0%
Other values (211) 7577
68.5%
2023-12-13T02:18:01.727181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
구 7324
21.2%
시 3643
 
10.5%
1607
 
4.6%
남 1363
 
3.9%
산 1161
 
3.4%
성 972
 
2.8%
서 938
 
2.7%
포 812
 
2.3%
주 775
 
2.2%
동 763
 
2.2%
Other values (130) 15211
44.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 32962
95.4%
Space Separator 1607
 
4.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 7324
22.2%
시 3643
 
11.1%
남 1363
 
4.1%
산 1161
 
3.5%
성 972
 
2.9%
서 938
 
2.8%
포 812
 
2.5%
주 775
 
2.4%
동 763
 
2.3%
강 757
 
2.3%
Other values (129) 14454
43.9%
Space Separator
ValueCountFrequency (%)
1607
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 32962
95.4%
Common 1607
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 7324
22.2%
시 3643
 
11.1%
남 1363
 
4.1%
산 1161
 
3.5%
성 972
 
2.9%
서 938
 
2.8%
포 812
 
2.5%
주 775
 
2.4%
동 763
 
2.3%
강 757
 
2.3%
Other values (129) 14454
43.9%
Common
ValueCountFrequency (%)
1607
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 32962
95.4%
ASCII 1607
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
구 7324
22.2%
시 3643
 
11.1%
남 1363
 
4.1%
산 1161
 
3.5%
성 972
 
2.9%
서 938
 
2.8%
포 812
 
2.5%
주 775
 
2.4%
동 763
 
2.3%
강 757
 
2.3%
Other values (129) 14454
43.9%
ASCII
ValueCountFrequency (%)
1607
100.0%

법정읍면동명칭
Text

Distinct1530
Distinct (%)16.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:02.106850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length3.1468112
Min length2

Characters and Unicode

Total characters29901
Distinct characters308
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

Unique492 ?
Unique (%)5.2%

Sample

1st row원곡동
2nd row중동
3rd row남창동
4th row평택동
5th row순화동
ValueCountFrequency (%)
이태원동 176
 
1.9%
신사동 161
 
1.7%
중동 138
 
1.5%
역삼동 132
 
1.4%
서교동 120
 
1.3%
서초동 94
 
1.0%
한남동 89
 
0.9%
송도동 89
 
0.9%
여의도동 82
 
0.9%
청담동 80
 
0.8%
Other values (1520) 8341
87.8%
2023-12-13T02:18:02.662273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 8676
29.0%
가 863
 
2.9%
읍 574
 
1.9%
산 547
 
1.8%
신 507
 
1.7%
정 429
 
1.4%
서 419
 
1.4%
삼 380
 
1.3%
남 369
 
1.2%
성 353
 
1.2%
Other values (298) 16784
56.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29153
97.5%
Decimal Number 748
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 8676
29.8%
가 863
 
3.0%
읍 574
 
2.0%
산 547
 
1.9%
신 507
 
1.7%
정 429
 
1.5%
서 419
 
1.4%
삼 380
 
1.3%
남 369
 
1.3%
성 353
 
1.2%
Other values (290) 16036
55.0%
Decimal Number
ValueCountFrequency (%)
2 266
35.6%
1 210
28.1%
3 115
15.4%
4 69
 
9.2%
5 47
 
6.3%
6 26
 
3.5%
7 13
 
1.7%
8 2
 
0.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29153
97.5%
Common 748
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 8676
29.8%
가 863
 
3.0%
읍 574
 
2.0%
산 547
 
1.9%
신 507
 
1.7%
정 429
 
1.5%
서 419
 
1.4%
삼 380
 
1.3%
남 369
 
1.3%
성 353
 
1.2%
Other values (290) 16036
55.0%
Common
ValueCountFrequency (%)
2 266
35.6%
1 210
28.1%
3 115
15.4%
4 69
 
9.2%
5 47
 
6.3%
6 26
 
3.5%
7 13
 
1.7%
8 2
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29153
97.5%
ASCII 748
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 8676
29.8%
가 863
 
3.0%
읍 574
 
2.0%
산 547
 
1.9%
신 507
 
1.7%
정 429
 
1.5%
서 419
 
1.4%
삼 380
 
1.3%
남 369
 
1.3%
성 353
 
1.2%
Other values (290) 16036
55.0%
ASCII
ValueCountFrequency (%)
2 266
35.6%
1 210
28.1%
3 115
15.4%
4 69
 
9.2%
5 47
 
6.3%
6 26
 
3.5%
7 13
 
1.7%
8 2
 
0.3%

리 명칭
Text

MISSING 

Distinct446
Distinct (%)55.6%
Missing8700
Missing (%)91.6%
Memory size74.4 KiB
2023-12-13T02:18:03.095447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length2.9650873
Min length2

Characters and Unicode

Total characters2378
Distinct characters207
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

Unique293 ?
Unique (%)36.5%

Sample

1st row침산리
2nd row고한리
3rd row남문리
4th row묵현리
5th row신례리
ValueCountFrequency (%)
안정리 17
 
2.1%
평리 14
 
1.7%
읍내리 12
 
1.5%
둔포리 9
 
1.1%
하길리 8
 
1.0%
북리 8
 
1.0%
남양리 8
 
1.0%
가촌리 7
 
0.9%
협재리 7
 
0.9%
서광리 7
 
0.9%
Other values (436) 705
87.9%
2023-12-13T02:18:03.722857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 803
33.8%
산 51
 
2.1%
동 42
 
1.8%
정 41
 
1.7%
성 38
 
1.6%
곡 34
 
1.4%
신 30
 
1.3%
평 30
 
1.3%
남 30
 
1.3%
양 30
 
1.3%
Other values (197) 1249
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2377
> 99.9%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 803
33.8%
산 51
 
2.1%
동 42
 
1.8%
정 41
 
1.7%
성 38
 
1.6%
곡 34
 
1.4%
신 30
 
1.3%
평 30
 
1.3%
남 30
 
1.3%
양 30
 
1.3%
Other values (196) 1248
52.5%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2377
> 99.9%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 803
33.8%
산 51
 
2.1%
동 42
 
1.8%
정 41
 
1.7%
성 38
 
1.6%
곡 34
 
1.4%
신 30
 
1.3%
평 30
 
1.3%
남 30
 
1.3%
양 30
 
1.3%
Other values (196) 1248
52.5%
Common
ValueCountFrequency (%)
2 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2377
> 99.9%
ASCII 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 803
33.8%
산 51
 
2.1%
동 42
 
1.8%
정 41
 
1.7%
성 38
 
1.6%
곡 34
 
1.4%
신 30
 
1.3%
평 30
 
1.3%
남 30
 
1.3%
양 30
 
1.3%
Other values (196) 1248
52.5%
ASCII
ValueCountFrequency (%)
2 1
100.0%

번지
Text

Distinct6858
Distinct (%)72.2%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:04.185908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length7.830141
Min length4

Characters and Unicode

Total characters74402
Distinct characters15
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

Unique5345 ?
Unique (%)56.3%

Sample

1st row764-9 번지
2nd row147-279 번지
3rd row113-5 번지
4th row291-9 번지
5th row217 번지
ValueCountFrequency (%)
번지 9502
50.0%
19-3 21
 
0.1%
29 19
 
0.1%
159 16
 
0.1%
541 15
 
0.1%
1 14
 
0.1%
40-1 13
 
0.1%
168-1 13
 
0.1%
24 12
 
0.1%
442 12
 
0.1%
Other values (6849) 9367
49.3%
2023-12-13T02:18:04.796206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9502
12.8%
번 9502
12.8%
지 9502
12.8%
1 8142
10.9%
- 7417
10.0%
2 4807
6.5%
3 4078
 
5.5%
4 3599
 
4.8%
5 3574
 
4.8%
6 3319
 
4.5%
Other values (5) 10960
14.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 38461
51.7%
Other Letter 19022
25.6%
Space Separator 9502
 
12.8%
Dash Punctuation 7417
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 8142
21.2%
2 4807
12.5%
3 4078
10.6%
4 3599
9.4%
5 3574
9.3%
6 3319
8.6%
7 2923
 
7.6%
8 2766
 
7.2%
9 2628
 
6.8%
0 2625
 
6.8%
Other Letter
ValueCountFrequency (%)
번 9502
50.0%
지 9502
50.0%
산 18
 
0.1%
Space Separator
ValueCountFrequency (%)
9502
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7417
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 55380
74.4%
Hangul 19022
 
25.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9502
17.2%
1 8142
14.7%
- 7417
13.4%
2 4807
8.7%
3 4078
7.4%
4 3599
 
6.5%
5 3574
 
6.5%
6 3319
 
6.0%
7 2923
 
5.3%
8 2766
 
5.0%
Other values (2) 5253
9.5%
Hangul
ValueCountFrequency (%)
번 9502
50.0%
지 9502
50.0%
산 18
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 55380
74.4%
Hangul 19022
 
25.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9502
17.2%
1 8142
14.7%
- 7417
13.4%
2 4807
8.7%
3 4078
7.4%
4 3599
 
6.5%
5 3574
 
6.5%
6 3319
 
6.0%
7 2923
 
5.3%
8 2766
 
5.0%
Other values (2) 5253
9.5%
Hangul
ValueCountFrequency (%)
번 9502
50.0%
지 9502
50.0%
산 18
 
0.1%

도로명 이름
Text

Distinct4929
Distinct (%)52.0%
Missing15
Missing (%)0.2%
Memory size74.4 KiB
2023-12-13T02:18:05.096546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length5.2672078
Min length2

Characters and Unicode

Total characters49970
Distinct characters469
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3333 ?
Unique (%)35.1%

Sample

1st row관산길
2nd row제민천3길
3rd row행궁로
4th row중앙2로
5th row서소문로9길
ValueCountFrequency (%)
중앙로 45
 
0.5%
이태원로 44
 
0.5%
중앙대로 41
 
0.4%
올림픽로 34
 
0.4%
신흥로 34
 
0.4%
테헤란로 30
 
0.3%
정자일로 27
 
0.3%
성남대로 27
 
0.3%
신반포로 25
 
0.3%
대학로 23
 
0.2%
Other values (4919) 9157
96.5%
2023-12-13T02:18:05.534597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 8565
 
17.1%
길 4938
 
9.9%
1 1981
 
4.0%
번 1866
 
3.7%
대 1730
 
3.5%
2 1471
 
2.9%
3 1089
 
2.2%
4 914
 
1.8%
동 873
 
1.7%
5 872
 
1.7%
Other values (459) 25671
51.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 40421
80.9%
Decimal Number 9535
 
19.1%
Other Punctuation 10
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 8565
21.2%
길 4938
 
12.2%
번 1866
 
4.6%
대 1730
 
4.3%
동 873
 
2.2%
산 616
 
1.5%
중 535
 
1.3%
남 438
 
1.1%
서 390
 
1.0%
앙 374
 
0.9%
Other values (444) 20096
49.7%
Decimal Number
ValueCountFrequency (%)
1 1981
20.8%
2 1471
15.4%
3 1089
11.4%
4 914
9.6%
5 872
9.1%
6 734
 
7.7%
0 648
 
6.8%
7 646
 
6.8%
8 619
 
6.5%
9 561
 
5.9%
Uppercase Letter
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
A 1
25.0%
P 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 40421
80.9%
Common 9545
 
19.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 8565
21.2%
길 4938
 
12.2%
번 1866
 
4.6%
대 1730
 
4.3%
동 873
 
2.2%
산 616
 
1.5%
중 535
 
1.3%
남 438
 
1.1%
서 390
 
1.0%
앙 374
 
0.9%
Other values (444) 20096
49.7%
Common
ValueCountFrequency (%)
1 1981
20.8%
2 1471
15.4%
3 1089
11.4%
4 914
9.6%
5 872
9.1%
6 734
 
7.7%
0 648
 
6.8%
7 646
 
6.8%
8 619
 
6.5%
9 561
 
5.9%
Latin
ValueCountFrequency (%)
C 1
25.0%
E 1
25.0%
A 1
25.0%
P 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 40421
80.9%
ASCII 9549
 
19.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 8565
21.2%
길 4938
 
12.2%
번 1866
 
4.6%
대 1730
 
4.3%
동 873
 
2.2%
산 616
 
1.5%
중 535
 
1.3%
남 438
 
1.1%
서 390
 
1.0%
앙 374
 
0.9%
Other values (444) 20096
49.7%
ASCII
ValueCountFrequency (%)
1 1981
20.7%
2 1471
15.4%
3 1089
11.4%
4 914
9.6%
5 872
9.1%
6 734
 
7.7%
0 648
 
6.8%
7 646
 
6.8%
8 619
 
6.5%
9 561
 
5.9%
Other values (5) 14
 
0.1%

건물 번호
Text

Distinct1947
Distinct (%)20.5%
Missing15
Missing (%)0.2%
Memory size74.4 KiB
2023-12-13T02:18:05.886042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.6382418
Min length3

Characters and Unicode

Total characters44003
Distinct characters13
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

Unique1145 ?
Unique (%)12.1%

Sample

1st row3 번
2nd row78 번
3rd row43 번
4th row17 번
5th row28 번
ValueCountFrequency (%)
번 9487
50.0%
12 144
 
0.8%
10 138
 
0.7%
9 127
 
0.7%
6 126
 
0.7%
13 125
 
0.7%
15 125
 
0.7%
17 123
 
0.6%
11 122
 
0.6%
20 118
 
0.6%
Other values (1938) 8339
43.9%
2023-12-13T02:18:06.477314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9487
21.6%
번 9487
21.6%
1 5101
11.6%
2 3393
 
7.7%
3 2643
 
6.0%
4 2080
 
4.7%
5 2027
 
4.6%
- 1784
 
4.1%
6 1766
 
4.0%
0 1678
 
3.8%
Other values (3) 4557
10.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23245
52.8%
Space Separator 9487
21.6%
Other Letter 9487
21.6%
Dash Punctuation 1784
 
4.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 5101
21.9%
2 3393
14.6%
3 2643
11.4%
4 2080
8.9%
5 2027
 
8.7%
6 1766
 
7.6%
0 1678
 
7.2%
7 1611
 
6.9%
8 1535
 
6.6%
9 1411
 
6.1%
Space Separator
ValueCountFrequency (%)
9487
100.0%
Other Letter
ValueCountFrequency (%)
번 9487
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1784
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34516
78.4%
Hangul 9487
 
21.6%

Most frequent character per script

Common
ValueCountFrequency (%)
9487
27.5%
1 5101
14.8%
2 3393
 
9.8%
3 2643
 
7.7%
4 2080
 
6.0%
5 2027
 
5.9%
- 1784
 
5.2%
6 1766
 
5.1%
0 1678
 
4.9%
7 1611
 
4.7%
Other values (2) 2946
 
8.5%
Hangul
ValueCountFrequency (%)
번 9487
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34516
78.4%
Hangul 9487
 
21.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9487
27.5%
1 5101
14.8%
2 3393
 
9.8%
3 2643
 
7.7%
4 2080
 
6.0%
5 2027
 
5.9%
- 1784
 
5.2%
6 1766
 
5.1%
0 1678
 
4.9%
7 1611
 
4.7%
Other values (2) 2946
 
8.5%
Hangul
ValueCountFrequency (%)
번 9487
100.0%

위도
Real number (ℝ)

Distinct9130
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.814051
Minimum33.210543
Maximum38.307306
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.6 KiB
2023-12-13T02:18:06.649853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33.210543
5-th percentile35.083816
Q136.0207
median37.40718
Q337.534856
95-th percentile37.649856
Maximum38.307306
Range5.096763
Interquartile range (IQR)1.514156

Descriptive statistics

Standard deviation1.0717554
Coefficient of variation (CV)0.029112673
Kurtosis1.1732535
Mean36.814051
Median Absolute Deviation (MAD)0.161156
Skewness-1.399567
Sum349807.12
Variance1.1486597
MonotonicityNot monotonic
2023-12-13T02:18:06.810200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.513752 7
 
0.1%
37.511793 5
 
0.1%
37.529772 5
 
0.1%
37.266302 5
 
0.1%
37.570996 5
 
0.1%
37.526168 4
 
< 0.1%
37.381629 4
 
< 0.1%
35.15679 4
 
< 0.1%
37.503606 4
 
< 0.1%
37.548574 4
 
< 0.1%
Other values (9120) 9455
99.5%
ValueCountFrequency (%)
33.210543 1
< 0.1%
33.211795 1
< 0.1%
33.220138 1
< 0.1%
33.227156 1
< 0.1%
33.230484 1
< 0.1%
33.230736 1
< 0.1%
33.232109 1
< 0.1%
33.233679 1
< 0.1%
33.234416 1
< 0.1%
33.235363 1
< 0.1%
ValueCountFrequency (%)
38.307306 1
< 0.1%
38.21091 1
< 0.1%
38.210309 1
< 0.1%
38.208231 1
< 0.1%
38.204031 1
< 0.1%
38.198656 1
< 0.1%
38.19572 1
< 0.1%
38.195455 1
< 0.1%
38.194492 1
< 0.1%
38.192305 1
< 0.1%

경도
Real number (ℝ)

Distinct9132
Distinct (%)96.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.35968
Minimum126.19637
Maximum129.55214
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.6 KiB
2023-12-13T02:18:06.978475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.19637
5-th percentile126.65013
Q1126.92453
median127.03777
Q3127.38476
95-th percentile129.11475
Maximum129.55214
Range3.355778
Interquartile range (IQR)0.4602305

Descriptive statistics

Standard deviation0.78447464
Coefficient of variation (CV)0.0061595213
Kurtosis0.54692347
Mean127.35968
Median Absolute Deviation (MAD)0.1322275
Skewness1.4002096
Sum1210171.6
Variance0.61540046
MonotonicityNot monotonic
2023-12-13T02:18:07.208877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.104447 7
 
0.1%
129.056416 5
 
0.1%
127.002339 5
 
0.1%
126.978914 5
 
0.1%
126.964741 5
 
0.1%
126.966894 4
 
< 0.1%
127.059113 4
 
< 0.1%
126.978262 4
 
< 0.1%
126.657917 4
 
< 0.1%
127.041647 4
 
< 0.1%
Other values (9122) 9455
99.5%
ValueCountFrequency (%)
126.196365 1
< 0.1%
126.198137 1
< 0.1%
126.198294 1
< 0.1%
126.22484 1
< 0.1%
126.226168 1
< 0.1%
126.231379 1
< 0.1%
126.24004 1
< 0.1%
126.240241 1
< 0.1%
126.240337 1
< 0.1%
126.243288 1
< 0.1%
ValueCountFrequency (%)
129.552143 1
< 0.1%
129.496035 1
< 0.1%
129.457673 1
< 0.1%
129.452316 1
< 0.1%
129.438987 1
< 0.1%
129.438694 1
< 0.1%
129.437503 1
< 0.1%
129.430659 1
< 0.1%
129.430328 1
< 0.1%
129.429449 1
< 0.1%

우편번호
Real number (ℝ)

Distinct4473
Distinct (%)47.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22474.901
Minimum1016
Maximum63644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size83.6 KiB
2023-12-13T02:18:07.385279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1016
5-th percentile3191
Q16099
median15390
Q338524.75
95-th percentile59526.35
Maximum63644
Range62628
Interquartile range (IQR)32425.75

Descriptive statistics

Standard deviation18682.763
Coefficient of variation (CV)0.83127232
Kurtosis-0.79430802
Mean22474.901
Median Absolute Deviation (MAD)10869.5
Skewness0.75368046
Sum2.1355651 × 108
Variance3.4904563 × 108
MonotonicityNot monotonic
2023-12-13T02:18:07.566305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4350 34
 
0.4%
4049 32
 
0.3%
4391 28
 
0.3%
13591 27
 
0.3%
13595 25
 
0.3%
6028 24
 
0.3%
6164 24
 
0.3%
4419 24
 
0.3%
4345 23
 
0.2%
3982 23
 
0.2%
Other values (4463) 9238
97.2%
ValueCountFrequency (%)
1016 1
 
< 0.1%
1018 1
 
< 0.1%
1058 1
 
< 0.1%
1062 1
 
< 0.1%
1063 2
< 0.1%
1064 1
 
< 0.1%
1072 1
 
< 0.1%
1073 1
 
< 0.1%
1074 3
< 0.1%
1081 1
 
< 0.1%
ValueCountFrequency (%)
63644 6
0.1%
63643 4
< 0.1%
63641 2
 
< 0.1%
63640 2
 
< 0.1%
63637 2
 
< 0.1%
63635 1
 
< 0.1%
63633 1
 
< 0.1%
63632 1
 
< 0.1%
63629 3
< 0.1%
63627 1
 
< 0.1%

도로명주소
Text

Distinct8308
Distinct (%)87.4%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:07.959082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length29
Mean length19.036308
Min length9

Characters and Unicode

Total characters180883
Distinct characters477
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

Unique7566 ?
Unique (%)79.6%

Sample

1st row경기도 안산시 단원구 관산길 3
2nd row충청남도 공주시 제민천3길 78
3rd row경기도 수원시 팔달구 행궁로 43
4th row경기도 평택시 중앙2로 17
5th row서울특별시 중구 서소문로9길 28
ValueCountFrequency (%)
서울특별시 3412
 
8.6%
경기도 2172
 
5.5%
부산광역시 690
 
1.7%
강남구 585
 
1.5%
중구 536
 
1.4%
인천광역시 512
 
1.3%
용산구 419
 
1.1%
대구광역시 379
 
1.0%
마포구 364
 
0.9%
성남시 339
 
0.9%
Other values (7154) 30249
76.3%
2023-12-13T02:18:08.692908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
30229
 
16.7%
시 9475
 
5.2%
로 8875
 
4.9%
구 7940
 
4.4%
1 7090
 
3.9%
길 4943
 
2.7%
2 4867
 
2.7%
서 4747
 
2.6%
도 4064
 
2.2%
별 3751
 
2.1%
Other values (467) 94902
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 116051
64.2%
Decimal Number 32802
 
18.1%
Space Separator 30229
 
16.7%
Dash Punctuation 1787
 
1.0%
Other Punctuation 10
 
< 0.1%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9475
 
8.2%
로 8875
 
7.6%
구 7940
 
6.8%
길 4943
 
4.3%
서 4747
 
4.1%
도 4064
 
3.5%
별 3751
 
3.2%
특 3744
 
3.2%
울 3673
 
3.2%
경 2929
 
2.5%
Other values (450) 61910
53.3%
Decimal Number
ValueCountFrequency (%)
1 7090
21.6%
2 4867
14.8%
3 3731
11.4%
4 2994
9.1%
5 2893
8.8%
6 2499
 
7.6%
0 2334
 
7.1%
7 2259
 
6.9%
8 2154
 
6.6%
9 1981
 
6.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
25.0%
C 1
25.0%
P 1
25.0%
A 1
25.0%
Space Separator
ValueCountFrequency (%)
30229
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1787
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 116051
64.2%
Common 64828
35.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9475
 
8.2%
로 8875
 
7.6%
구 7940
 
6.8%
길 4943
 
4.3%
서 4747
 
4.1%
도 4064
 
3.5%
별 3751
 
3.2%
특 3744
 
3.2%
울 3673
 
3.2%
경 2929
 
2.5%
Other values (450) 61910
53.3%
Common
ValueCountFrequency (%)
30229
46.6%
1 7090
 
10.9%
2 4867
 
7.5%
3 3731
 
5.8%
4 2994
 
4.6%
5 2893
 
4.5%
6 2499
 
3.9%
0 2334
 
3.6%
7 2259
 
3.5%
8 2154
 
3.3%
Other values (3) 3778
 
5.8%
Latin
ValueCountFrequency (%)
E 1
25.0%
C 1
25.0%
P 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 116051
64.2%
ASCII 64832
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
30229
46.6%
1 7090
 
10.9%
2 4867
 
7.5%
3 3731
 
5.8%
4 2994
 
4.6%
5 2893
 
4.5%
6 2499
 
3.9%
0 2334
 
3.6%
7 2259
 
3.5%
8 2154
 
3.3%
Other values (7) 3782
 
5.8%
Hangul
ValueCountFrequency (%)
시 9475
 
8.2%
로 8875
 
7.6%
구 7940
 
6.8%
길 4943
 
4.3%
서 4747
 
4.1%
도 4064
 
3.5%
별 3751
 
3.2%
특 3744
 
3.2%
울 3673
 
3.2%
경 2929
 
2.5%
Other values (450) 61910
53.3%

지번주소
Text

Distinct8647
Distinct (%)91.0%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:09.027121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length41
Mean length20.667754
Min length13

Characters and Unicode

Total characters196385
Distinct characters574
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8076 ?
Unique (%)85.0%

Sample

1st row경기도 안산시 단원구 원곡동 764-9
2nd row충청남도 공주시 중동 147-279
3rd row경기도 수원시 팔달구 남창동 113-5
4th row경기도 평택시 평택동 291-9
5th row서울특별시 중구 순화동 217
ValueCountFrequency (%)
서울특별시 3414
 
8.3%
경기도 2174
 
5.3%
부산광역시 690
 
1.7%
강남구 585
 
1.4%
중구 536
 
1.3%
인천광역시 512
 
1.2%
용산구 419
 
1.0%
대구광역시 379
 
0.9%
마포구 364
 
0.9%
성남시 338
 
0.8%
Other values (9814) 31894
77.2%
2023-12-13T02:18:09.545807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
38172
 
19.4%
동 9534
 
4.9%
시 9386
 
4.8%
1 8388
 
4.3%
구 7937
 
4.0%
- 7431
 
3.8%
2 5078
 
2.6%
서 4832
 
2.5%
도 4232
 
2.2%
3 4196
 
2.1%
Other values (564) 97199
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111237
56.6%
Decimal Number 39281
 
20.0%
Space Separator 38172
 
19.4%
Dash Punctuation 7431
 
3.8%
Uppercase Letter 185
 
0.1%
Lowercase Letter 50
 
< 0.1%
Other Punctuation 11
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Letter Number 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 9534
 
8.6%
시 9386
 
8.4%
구 7937
 
7.1%
서 4832
 
4.3%
도 4232
 
3.8%
별 3764
 
3.4%
특 3745
 
3.4%
울 3616
 
3.3%
경 2837
 
2.6%
광 2763
 
2.5%
Other values (501) 58591
52.7%
Uppercase Letter
ValueCountFrequency (%)
S 19
 
10.3%
A 17
 
9.2%
I 16
 
8.6%
E 15
 
8.1%
C 12
 
6.5%
T 10
 
5.4%
D 10
 
5.4%
M 9
 
4.9%
K 8
 
4.3%
L 8
 
4.3%
Other values (16) 61
33.0%
Lowercase Letter
ValueCountFrequency (%)
o 7
14.0%
e 5
10.0%
a 5
10.0%
l 5
10.0%
n 4
 
8.0%
u 4
 
8.0%
i 3
 
6.0%
r 3
 
6.0%
y 2
 
4.0%
w 2
 
4.0%
Other values (8) 10
20.0%
Decimal Number
ValueCountFrequency (%)
1 8388
21.4%
2 5078
12.9%
3 4196
10.7%
4 3664
9.3%
5 3622
9.2%
6 3360
8.6%
7 2933
 
7.5%
8 2774
 
7.1%
0 2635
 
6.7%
9 2631
 
6.7%
Other Punctuation
ValueCountFrequency (%)
. 5
45.5%
, 4
36.4%
; 1
 
9.1%
& 1
 
9.1%
Space Separator
ValueCountFrequency (%)
38172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7431
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111237
56.6%
Common 84911
43.2%
Latin 237
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 9534
 
8.6%
시 9386
 
8.4%
구 7937
 
7.1%
서 4832
 
4.3%
도 4232
 
3.8%
별 3764
 
3.4%
특 3745
 
3.4%
울 3616
 
3.3%
경 2837
 
2.6%
광 2763
 
2.5%
Other values (501) 58591
52.7%
Latin
ValueCountFrequency (%)
S 19
 
8.0%
A 17
 
7.2%
I 16
 
6.8%
E 15
 
6.3%
C 12
 
5.1%
T 10
 
4.2%
D 10
 
4.2%
M 9
 
3.8%
K 8
 
3.4%
L 8
 
3.4%
Other values (35) 113
47.7%
Common
ValueCountFrequency (%)
38172
45.0%
1 8388
 
9.9%
- 7431
 
8.8%
2 5078
 
6.0%
3 4196
 
4.9%
4 3664
 
4.3%
5 3622
 
4.3%
6 3360
 
4.0%
7 2933
 
3.5%
8 2774
 
3.3%
Other values (8) 5293
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111237
56.6%
ASCII 85146
43.4%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
38172
44.8%
1 8388
 
9.9%
- 7431
 
8.7%
2 5078
 
6.0%
3 4196
 
4.9%
4 3664
 
4.3%
5 3622
 
4.3%
6 3360
 
3.9%
7 2933
 
3.4%
8 2774
 
3.3%
Other values (52) 5528
 
6.5%
Hangul
ValueCountFrequency (%)
동 9534
 
8.6%
시 9386
 
8.4%
구 7937
 
7.1%
서 4832
 
4.3%
도 4232
 
3.8%
별 3764
 
3.4%
특 3745
 
3.4%
울 3616
 
3.3%
경 2837
 
2.6%
광 2763
 
2.5%
Other values (501) 58591
52.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 2
100.0%

전화번호
Text

Distinct4595
Distinct (%)48.4%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:09.828931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length8.1008209
Min length4

Characters and Unicode

Total characters76974
Distinct characters16
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

Unique4558 ?
Unique (%)48.0%

Sample

1st row정보없음
2nd row0507-1478-3666
3rd row정보없음
4th row정보없음
5th row02-318-4246
ValueCountFrequency (%)
정보없음 4872
51.3%
02-521-2420 2
 
< 0.1%
02-2028-5552 2
 
< 0.1%
055-688-2016 2
 
< 0.1%
032-832-1532 2
 
< 0.1%
051-807-6668 2
 
< 0.1%
02-730-5528 2
 
< 0.1%
02-727-5320 2
 
< 0.1%
032-834-3704 2
 
< 0.1%
02-782-5494 2
 
< 0.1%
Other values (4585) 4612
48.5%
2023-12-13T02:18:10.214684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9321
12.1%
- 9255
12.0%
2 5479
 
7.1%
1 5327
 
6.9%
3 5262
 
6.8%
5 5234
 
6.8%
7 4980
 
6.5%
정 4872
 
6.3%
보 4872
 
6.3%
없 4872
 
6.3%
Other values (6) 17500
22.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 48229
62.7%
Other Letter 19488
25.3%
Dash Punctuation 9255
 
12.0%
Space Separator 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 9321
19.3%
2 5479
11.4%
1 5327
11.0%
3 5262
10.9%
5 5234
10.9%
7 4980
10.3%
4 3753
7.8%
8 3278
 
6.8%
6 2992
 
6.2%
9 2603
 
5.4%
Other Letter
ValueCountFrequency (%)
정 4872
25.0%
보 4872
25.0%
없 4872
25.0%
음 4872
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 9255
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 57486
74.7%
Hangul 19488
 
25.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 9321
16.2%
- 9255
16.1%
2 5479
9.5%
1 5327
9.3%
3 5262
9.2%
5 5234
9.1%
7 4980
8.7%
4 3753
6.5%
8 3278
 
5.7%
6 2992
 
5.2%
Other values (2) 2605
 
4.5%
Hangul
ValueCountFrequency (%)
정 4872
25.0%
보 4872
25.0%
없 4872
25.0%
음 4872
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 57486
74.7%
Hangul 19488
 
25.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9321
16.2%
- 9255
16.1%
2 5479
9.5%
1 5327
9.3%
3 5262
9.2%
5 5234
9.1%
7 4980
8.7%
4 3753
6.5%
8 3278
 
5.7%
6 2992
 
5.2%
Other values (2) 2605
 
4.5%
Hangul
ValueCountFrequency (%)
정 4872
25.0%
보 4872
25.0%
없 4872
25.0%
음 4872
25.0%

평일 운영시간
Text

Distinct786
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:10.507327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length4
Mean length6.9359082
Min length2

Characters and Unicode

Total characters65905
Distinct characters28
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

Unique487 ?
Unique (%)5.1%

Sample

1st row정보없음
2nd row화-목 17시-23시,금 17시-24시
3rd row정보없음
4th row정보없음
5th row월-금 10시-20시
ValueCountFrequency (%)
정보없음 6115
50.5%
월-금 1680
 
13.9%
11시-21시 394
 
3.3%
화-금 382
 
3.2%
11시-22시 376
 
3.1%
11시30분-22시 285
 
2.4%
11시30분-21시 191
 
1.6%
11시30분-21시30분 122
 
1.0%
10시-22시 119
 
1.0%
11시-21시30분 117
 
1.0%
Other values (450) 2326
 
19.2%
2023-12-13T02:18:10.921916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 7133
10.8%
1 7122
10.8%
정 6115
9.3%
없 6115
9.3%
음 6115
9.3%
보 6115
9.3%
- 5836
8.9%
2 4559
6.9%
0 3243
 
4.9%
2618
 
4.0%
Other values (18) 10934
16.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 38784
58.8%
Decimal Number 18087
27.4%
Dash Punctuation 5836
 
8.9%
Space Separator 2618
 
4.0%
Other Punctuation 579
 
0.9%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7133
18.4%
정 6115
15.8%
없 6115
15.8%
음 6115
15.8%
보 6115
15.8%
금 2402
 
6.2%
월 1949
 
5.0%
분 1918
 
4.9%
화 490
 
1.3%
목 212
 
0.5%
Other values (4) 220
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 7122
39.4%
2 4559
25.2%
0 3243
17.9%
3 2094
 
11.6%
7 258
 
1.4%
4 248
 
1.4%
5 169
 
0.9%
9 148
 
0.8%
8 144
 
0.8%
6 102
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 5836
100.0%
Space Separator
ValueCountFrequency (%)
2618
100.0%
Other Punctuation
ValueCountFrequency (%)
, 579
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 38784
58.8%
Common 27121
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7133
18.4%
정 6115
15.8%
없 6115
15.8%
음 6115
15.8%
보 6115
15.8%
금 2402
 
6.2%
월 1949
 
5.0%
분 1918
 
4.9%
화 490
 
1.3%
목 212
 
0.5%
Other values (4) 220
 
0.6%
Common
ValueCountFrequency (%)
1 7122
26.3%
- 5836
21.5%
2 4559
16.8%
0 3243
12.0%
2618
 
9.7%
3 2094
 
7.7%
, 579
 
2.1%
7 258
 
1.0%
4 248
 
0.9%
5 169
 
0.6%
Other values (4) 395
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 38784
58.8%
ASCII 27121
41.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 7133
18.4%
정 6115
15.8%
없 6115
15.8%
음 6115
15.8%
보 6115
15.8%
금 2402
 
6.2%
월 1949
 
5.0%
분 1918
 
4.9%
화 490
 
1.3%
목 212
 
0.5%
Other values (4) 220
 
0.6%
ASCII
ValueCountFrequency (%)
1 7122
26.3%
- 5836
21.5%
2 4559
16.8%
0 3243
12.0%
2618
 
9.7%
3 2094
 
7.7%
, 579
 
2.1%
7 258
 
1.0%
4 248
 
0.9%
5 169
 
0.6%
Other values (4) 395
 
1.5%

주말 운영시간
Text

Distinct709
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
2023-12-13T02:18:11.190376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length4
Mean length6.6916439
Min length2

Characters and Unicode

Total characters63584
Distinct characters29
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

Unique443 ?
Unique (%)4.7%

Sample

1st row정보없음
2nd row토 17시-24시
3rd row정보없음
4th row정보없음
5th row토-일 10시-20시
ValueCountFrequency (%)
정보없음 6118
50.8%
토-일 1746
 
14.5%
토 520
 
4.3%
11시-21시 372
 
3.1%
11시-22시 360
 
3.0%
11시30분-22시 264
 
2.2%
11시30분-21시 193
 
1.6%
11시-21시30분 117
 
1.0%
11시30분-21시30분 115
 
1.0%
10시-22시 113
 
0.9%
Other values (423) 2118
 
17.6%
2023-12-13T02:18:11.583761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 7059
11.1%
1 7026
11.0%
정 6118
9.6%
없 6118
9.6%
음 6118
9.6%
보 6118
9.6%
- 5283
8.3%
2 4551
7.2%
0 3187
 
5.0%
2541
 
4.0%
Other values (19) 9465
14.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 37750
59.4%
Decimal Number 17886
28.1%
Dash Punctuation 5283
 
8.3%
Space Separator 2541
 
4.0%
Other Punctuation 123
 
0.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7059
18.7%
정 6118
16.2%
없 6118
16.2%
음 6118
16.2%
보 6118
16.2%
토 2274
 
6.0%
일 1902
 
5.0%
분 1892
 
5.0%
휴 67
 
0.2%
무 67
 
0.2%
Other values (5) 17
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 7026
39.3%
2 4551
25.4%
0 3187
17.8%
3 2086
 
11.7%
4 248
 
1.4%
7 230
 
1.3%
5 175
 
1.0%
9 142
 
0.8%
8 131
 
0.7%
6 110
 
0.6%
Dash Punctuation
ValueCountFrequency (%)
- 5283
100.0%
Space Separator
ValueCountFrequency (%)
2541
100.0%
Other Punctuation
ValueCountFrequency (%)
, 123
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 37750
59.4%
Common 25834
40.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7059
18.7%
정 6118
16.2%
없 6118
16.2%
음 6118
16.2%
보 6118
16.2%
토 2274
 
6.0%
일 1902
 
5.0%
분 1892
 
5.0%
휴 67
 
0.2%
무 67
 
0.2%
Other values (5) 17
 
< 0.1%
Common
ValueCountFrequency (%)
1 7026
27.2%
- 5283
20.4%
2 4551
17.6%
0 3187
12.3%
2541
 
9.8%
3 2086
 
8.1%
4 248
 
1.0%
7 230
 
0.9%
5 175
 
0.7%
9 142
 
0.5%
Other values (4) 365
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 37750
59.4%
ASCII 25834
40.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 7059
18.7%
정 6118
16.2%
없 6118
16.2%
음 6118
16.2%
보 6118
16.2%
토 2274
 
6.0%
일 1902
 
5.0%
분 1892
 
5.0%
휴 67
 
0.2%
무 67
 
0.2%
Other values (5) 17
 
< 0.1%
ASCII
ValueCountFrequency (%)
1 7026
27.2%
- 5283
20.4%
2 4551
17.6%
0 3187
12.3%
2541
 
9.8%
3 2086
 
8.1%
4 248
 
1.0%
7 230
 
0.9%
5 175
 
0.7%
9 142
 
0.5%
Other values (4) 365
 
1.4%

무료주차 가능여부
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
무료주차 불가
7936 
무료주차 가능
1566 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row무료주차 가능
2nd row무료주차 가능
3rd row무료주차 불가
4th row무료주차 가능
5th row무료주차 불가

Common Values

ValueCountFrequency (%)
무료주차 불가 7936
83.5%
무료주차 가능 1566
 
16.5%

Length

2023-12-13T02:18:11.694774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:11.769517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
무료주차 9502
50.0%
불가 7936
41.8%
가능 1566
 
8.2%

발렛주차 가능여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
발렛주차 불가
9486 
발렛주차 가능
 
16

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row발렛주차 불가
2nd row발렛주차 불가
3rd row발렛주차 불가
4th row발렛주차 불가
5th row발렛주차 불가

Common Values

ValueCountFrequency (%)
발렛주차 불가 9486
99.8%
발렛주차 가능 16
 
0.2%

Length

2023-12-13T02:18:11.853442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:11.928444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
발렛주차 9502
50.0%
불가 9486
49.9%
가능 16
 
0.1%

유아의자 대여여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
유아의자 대여 불가
9410 
유아의자 대여 가능
 
92

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row유아의자 대여 불가
2nd row유아의자 대여 불가
3rd row유아의자 대여 불가
4th row유아의자 대여 불가
5th row유아의자 대여 불가

Common Values

ValueCountFrequency (%)
유아의자 대여 불가 9410
99.0%
유아의자 대여 가능 92
 
1.0%

Length

2023-12-13T02:18:12.006985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.078878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
유아의자 9502
33.3%
대여 9502
33.3%
불가 9410
33.0%
가능 92
 
0.3%

휠체어 보유여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
휠체어 대여 불가
9430 
휠체어 대여 가능
 
72

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휠체어 대여 불가
2nd row휠체어 대여 불가
3rd row휠체어 대여 불가
4th row휠체어 대여 불가
5th row휠체어 대여 불가

Common Values

ValueCountFrequency (%)
휠체어 대여 불가 9430
99.2%
휠체어 대여 가능 72
 
0.8%

Length

2023-12-13T02:18:12.157191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.236644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휠체어 9502
33.3%
대여 9502
33.3%
불가 9430
33.1%
가능 72
 
0.3%

애완동물 동반입장 가능여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
반려동물 동반 입장불가
9022 
반려동물 동반 입장가능
 
480

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row반려동물 동반 입장불가
2nd row반려동물 동반 입장불가
3rd row반려동물 동반 입장불가
4th row반려동물 동반 입장불가
5th row반려동물 동반 입장불가

Common Values

ValueCountFrequency (%)
반려동물 동반 입장불가 9022
94.9%
반려동물 동반 입장가능 480
 
5.1%

Length

2023-12-13T02:18:12.320871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.395003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반려동물 9502
33.3%
동반 9502
33.3%
입장불가 9022
31.6%
입장가능 480
 
1.7%

채식메뉴 보유여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
채식 메뉴 없음
9447 
채식 메뉴 있음
 
55

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row채식 메뉴 없음
2nd row채식 메뉴 없음
3rd row채식 메뉴 없음
4th row채식 메뉴 없음
5th row채식 메뉴 없음

Common Values

ValueCountFrequency (%)
채식 메뉴 없음 9447
99.4%
채식 메뉴 있음 55
 
0.6%

Length

2023-12-13T02:18:12.484515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.561734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
채식 9502
33.3%
메뉴 9502
33.3%
없음 9447
33.1%
있음 55
 
0.2%

할랄음식 여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
할랄음식 메뉴 없음
9480 
할랄음식 메뉴 있음
 
22

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row할랄음식 메뉴 없음
2nd row할랄음식 메뉴 없음
3rd row할랄음식 메뉴 없음
4th row할랄음식 메뉴 없음
5th row할랄음식 메뉴 없음

Common Values

ValueCountFrequency (%)
할랄음식 메뉴 없음 9480
99.8%
할랄음식 메뉴 있음 22
 
0.2%

Length

2023-12-13T02:18:12.636997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.707213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
할랄음식 9502
33.3%
메뉴 9502
33.3%
없음 9480
33.3%
있음 22
 
0.1%

글루텐프리 음식여부
Categorical

IMBALANCE 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
글루텐프리 메뉴 없음
9493 
글루텐프리 메뉴 있음
 
9

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row글루텐프리 메뉴 없음
2nd row글루텐프리 메뉴 없음
3rd row글루텐프리 메뉴 없음
4th row글루텐프리 메뉴 없음
5th row글루텐프리 메뉴 없음

Common Values

ValueCountFrequency (%)
글루텐프리 메뉴 없음 9493
99.9%
글루텐프리 메뉴 있음 9
 
0.1%

Length

2023-12-13T02:18:12.787172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:18:12.863533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
글루텐프리 9502
33.3%
메뉴 9502
33.3%
없음 9493
33.3%
있음 9
 
< 0.1%

최종작성일
Date

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size74.4 KiB
Minimum2022-10-10 00:00:00
Maximum2022-11-30 00:00:00
2023-12-13T02:18:12.934094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:18:13.003410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=2)

Sample

시설명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호평일 운영시간주말 운영시간무료주차 가능여부발렛주차 가능여부유아의자 대여여부휠체어 보유여부애완동물 동반입장 가능여부채식메뉴 보유여부할랄음식 여부글루텐프리 음식여부최종작성일
00731양꼬치음식점/유흥시설동아시아음식인도경기도안산시 단원구원곡동<NA>764-9 번지관산길3 번37.331773126.79664815374경기도 안산시 단원구 관산길 3경기도 안산시 단원구 원곡동 764-9정보없음정보없음정보없음무료주차 가능발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
108001BARCELONA음식점/유흥시설동남아시아음식기타충청남도공주시중동<NA>147-279 번지제민천3길78 번36.455338127.12316532547충청남도 공주시 제민천3길 78충청남도 공주시 중동 147-2790507-1478-3666화-목 17시-23시,금 17시-24시토 17시-24시무료주차 가능발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
210.5INCH음식점/유흥시설유럽음식이탈리아경기도수원시 팔달구남창동<NA>113-5 번지행궁로43 번37.278747127.01535516261경기도 수원시 팔달구 행궁로 43경기도 수원시 팔달구 남창동 113-5정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
31000란무까타음식점/유흥시설동남아시아음식기타경기도평택시평택동<NA>291-9 번지중앙2로17 번36.991785127.08896817909경기도 평택시 중앙2로 17경기도 평택시 평택동 291-9정보없음정보없음정보없음무료주차 가능발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
4100하노이쌀국수음식점/유흥시설동남아시아음식베트남서울특별시중구순화동<NA>217 번지서소문로9길28 번37.563415126.9705944516서울특별시 중구 서소문로9길 28서울특별시 중구 순화동 21702-318-4246월-금 10시-20시토-일 10시-20시무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
51010아프리카유나이티드레스토랑음식점/유흥시설아프리카음식아프리카서울특별시용산구이태원동<NA>118-34 번지이태원로166 번37.534206126.9924054391서울특별시 용산구 이태원로 166서울특별시 용산구 이태원동 118-34070-8955-4851월-금 0시-24시토-일 0시-24시무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
61011다이닝키친음식점/유흥시설유럽음식이탈리아광주광역시남구봉선동<NA>1011-20 번지봉선1로36번길1 번35.127536126.9093361695광주광역시 남구 봉선1로36번길 1광주광역시 남구 봉선동 1011-200507-1327-1015월-금 12시-22시토 12시-14시30분무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
711어클락음식점/유흥시설유럽음식이탈리아경상남도창원시 성산구남양동<NA>27-7 번지가양로116번길14 번35.207975128.70596751481경상남도 창원시 성산구 가양로116번길 14경상남도 창원시 성산구 남양동 27-7055-262-7188월-금 11시-21시토-일 11시-21시무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
8123포음식점/유흥시설동남아시아음식베트남경기도파주시문발동<NA>644 번지문발로284 번37.71809126.69253910881경기도 파주시 문발로 284경기도 파주시 문발동 644정보없음정보없음정보없음무료주차 가능발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
9126음식점/유흥시설동남아시아음식기타서울특별시광진구구의동<NA>671 번지광나루로39길11 번37.545494127.0887784977서울특별시 광진구 광나루로39길 11서울특별시 광진구 구의동 6710507-1307-4825화-금 11시-22시토 11시-22시,일 11시-15시무료주차 가능발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-11-30
시설명카테고리1카테고리2카테고리3시도 명칭시군구 명칭법정읍면동명칭리 명칭번지도로명 이름건물 번호위도경도우편번호도로명주소지번주소전화번호평일 운영시간주말 운영시간무료주차 가능여부발렛주차 가능여부유아의자 대여여부휠체어 보유여부애완동물 동반입장 가능여부채식메뉴 보유여부할랄음식 여부글루텐프리 음식여부최종작성일
9492Xiao Zhan음식점/유흥시설동아시아음식대만 아시아서울특별시강남구신사동<NA>657-22 번지선릉로157길23-3 번37.525992127.0379166018서울특별시 강남구 선릉로157길 23-3서울특별시 강남구 신사동 657-2202-518-4427정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9493Y Style음식점/유흥시설동아시아음식일본서울특별시서초구반포동<NA>68-1 번지사평대로26길9-3 번37.499777126.9990036577서울특별시 서초구 사평대로26길 9-3서울특별시 서초구 반포동 68-1050-71407-9298정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9494YENNHI음식점/유흥시설동남아시아음식기타부산광역시사상구덕포동<NA>422-12 번지사상로285번길16 번35.170531128.98172446950부산광역시 사상구 사상로285번길 16부산광역시 사상구 덕포동 422-12정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9495Yeongyeong Banjeom음식점/유흥시설동아시아음식중국대구광역시수성구중동<NA>98-4 번지수성로222 번35.845198128.61313742151대구광역시 수성구 수성로 222대구광역시 수성구 중동 98-4 연경빌딩053-763-5988정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9496Yewon음식점/유흥시설동아시아음식중국경기도성남시 분당구금곡동<NA>151 번지돌마로87 번37.35039127.11174213618경기도 성남시 분당구 돌마로 87경기도 성남시 분당구 금곡동 151 골드프라자031-716-7040정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9497YJN필리핀레스토랑음식점/유흥시설동남아시아음식필리핀경기도평택시평택동<NA>71-17 번지평택로86 번36.994438127.08444817911경기도 평택시 평택로 86경기도 평택시 평택동 71-17정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9498Yudakka음식점/유흥시설동아시아음식일본서울특별시강남구논현동<NA>249-3 번지언주로632 번37.513074127.0359216101서울특별시 강남구 언주로 632서울특별시 강남구 논현동 249-302-516-7012정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 있음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9499YUMMYTHAI음식점/유흥시설동남아시아음식태국서울특별시강북구미아동<NA>75-89 번지오패산로31길43 번37.613469127.0315691219서울특별시 강북구 오패산로31길 43서울특별시 강북구 미아동 75-89정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9500ZAMZAM음식점/유흥시설동남아시아음식기타경기도화성시향남읍평리30-23 번지3.1만세로1130 번37.133881126.91037118593경기도 화성시 3.1만세로 1130경기도 화성시 향남읍 평리 30-23정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10
9501ZAYTOON자이툰음식점/유흥시설동남아시아음식기타경기도안성시동본동<NA>61 번지중앙로400번길9-18 번37.006476127.27203217592경기도 안성시 중앙로400번길 9-18경기도 안성시 동본동 61정보없음정보없음정보없음무료주차 불가발렛주차 불가유아의자 대여 불가휠체어 대여 불가반려동물 동반 입장불가채식 메뉴 없음할랄음식 메뉴 없음글루텐프리 메뉴 없음2022-10-10