Overview

Dataset statistics

Number of variables8
Number of observations5486
Missing cells0
Missing cells (%)0.0%
Duplicate rows2
Duplicate rows (%)< 0.1%
Total size in memory343.0 KiB
Average record size in memory64.0 B

Variable types

Categorical5
Text2
DateTime1

Dataset

Description동대문구에 위치한 식품위생업소 현황 자료입니다. 영업자 시작일, 업종명, 업태명, 업소명, 소재지 순으로 작성한 자료입니다.
URLhttps://www.data.go.kr/data/15060721/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관 전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 2 (< 0.1%) duplicate rowsDuplicates
업태명 is highly overall correlated with 업종명High correlation
업종명 is highly overall correlated with 업태명High correlation

Reproduction

Analysis started2023-12-12 08:13:35.620089
Analysis finished2023-12-12 08:13:36.870720
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업종명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
일반음식점
4269 
휴게음식점
1217 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반음식점 4269
77.8%
휴게음식점 1217
 
22.2%

Length

2023-12-12T17:13:36.955199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:37.084064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반음식점 4269
77.8%
휴게음식점 1217
 
22.2%

업소명
Text

Distinct5212
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
2023-12-12T17:13:37.452989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length28
Mean length6.704156
Min length1

Characters and Unicode

Total characters36779
Distinct characters985
Distinct categories15 ?
Distinct scripts5 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique5025 ?
Unique (%)91.6%

Sample

1st row매콤촌
2nd row혜성
3rd row대성집
4th row일미기사식당
5th row허브영양족발
ValueCountFrequency (%)
장안점 67
 
1.0%
경희대점 54
 
0.8%
답십리점 44
 
0.6%
세븐일레븐 43
 
0.6%
청량리점 36
 
0.5%
씨유 29
 
0.4%
카페 29
 
0.4%
회기점 24
 
0.3%
외대점 19
 
0.3%
메가엠지씨커피 17
 
0.2%
Other values (5633) 6683
94.9%
2023-12-12T17:13:38.018361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1571
 
4.3%
점 1250
 
3.4%
이 771
 
2.1%
리 744
 
2.0%
스 604
 
1.6%
대 567
 
1.5%
장 507
 
1.4%
) 498
 
1.4%
( 497
 
1.4%
식 465
 
1.3%
Other values (975) 29305
79.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 31098
84.6%
Space Separator 1571
 
4.3%
Lowercase Letter 1248
 
3.4%
Uppercase Letter 1071
 
2.9%
Decimal Number 679
 
1.8%
Close Punctuation 498
 
1.4%
Open Punctuation 497
 
1.4%
Other Punctuation 97
 
0.3%
Dash Punctuation 9
 
< 0.1%
Final Punctuation 3
 
< 0.1%
Other values (5) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 1250
 
4.0%
이 771
 
2.5%
리 744
 
2.4%
스 604
 
1.9%
대 567
 
1.8%
장 507
 
1.6%
식 465
 
1.5%
당 353
 
1.1%
마 339
 
1.1%
안 338
 
1.1%
Other values (891) 25160
80.9%
Lowercase Letter
ValueCountFrequency (%)
e 184
14.7%
a 134
 
10.7%
o 116
 
9.3%
n 77
 
6.2%
f 69
 
5.5%
i 66
 
5.3%
t 66
 
5.3%
l 62
 
5.0%
s 60
 
4.8%
r 55
 
4.4%
Other values (16) 359
28.8%
Uppercase Letter
ValueCountFrequency (%)
C 120
 
11.2%
S 106
 
9.9%
E 71
 
6.6%
A 70
 
6.5%
G 68
 
6.3%
B 64
 
6.0%
O 62
 
5.8%
U 55
 
5.1%
P 51
 
4.8%
T 48
 
4.5%
Other values (16) 356
33.2%
Decimal Number
ValueCountFrequency (%)
2 189
27.8%
5 131
19.3%
1 90
13.3%
9 55
 
8.1%
4 54
 
8.0%
0 52
 
7.7%
3 35
 
5.2%
8 34
 
5.0%
7 25
 
3.7%
6 14
 
2.1%
Other Punctuation
ValueCountFrequency (%)
& 52
53.6%
. 21
21.6%
' 12
 
12.4%
· 5
 
5.2%
: 2
 
2.1%
′ 1
 
1.0%
; 1
 
1.0%
% 1
 
1.0%
/ 1
 
1.0%
! 1
 
1.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Other Symbol
ValueCountFrequency (%)
℃ 1
50.0%
° 1
50.0%
Space Separator
ValueCountFrequency (%)
1571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 498
100.0%
Open Punctuation
ValueCountFrequency (%)
( 497
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 3
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%
Modifier Symbol
ValueCountFrequency (%)
˚ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 31075
84.5%
Common 3361
 
9.1%
Latin 2320
 
6.3%
Han 18
 
< 0.1%
Hiragana 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 1250
 
4.0%
이 771
 
2.5%
리 744
 
2.4%
스 604
 
1.9%
대 567
 
1.8%
장 507
 
1.6%
식 465
 
1.5%
당 353
 
1.1%
마 339
 
1.1%
안 338
 
1.1%
Other values (869) 25137
80.9%
Latin
ValueCountFrequency (%)
e 184
 
7.9%
a 134
 
5.8%
C 120
 
5.2%
o 116
 
5.0%
S 106
 
4.6%
n 77
 
3.3%
E 71
 
3.1%
A 70
 
3.0%
f 69
 
3.0%
G 68
 
2.9%
Other values (43) 1305
56.2%
Common
ValueCountFrequency (%)
1571
46.7%
) 498
 
14.8%
( 497
 
14.8%
2 189
 
5.6%
5 131
 
3.9%
1 90
 
2.7%
9 55
 
1.6%
4 54
 
1.6%
& 52
 
1.5%
0 52
 
1.5%
Other values (21) 172
 
5.1%
Han
ValueCountFrequency (%)
喜 2
 
11.1%
勳 1
 
5.6%
二 1
 
5.6%
三 1
 
5.6%
仁 1
 
5.6%
李 1
 
5.6%
愛 1
 
5.6%
流 1
 
5.6%
李 1
 
5.6%
園 1
 
5.6%
Other values (7) 7
38.9%
Hiragana
ValueCountFrequency (%)
ゆ 1
20.0%
き 1
20.0%
の 1
20.0%
は 1
20.0%
な 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 31071
84.5%
ASCII 5668
 
15.4%
CJK 17
 
< 0.1%
None 6
 
< 0.1%
Hiragana 5
 
< 0.1%
Punctuation 4
 
< 0.1%
Compat Jamo 4
 
< 0.1%
Number Forms 1
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1571
27.7%
) 498
 
8.8%
( 497
 
8.8%
2 189
 
3.3%
e 184
 
3.2%
a 134
 
2.4%
5 131
 
2.3%
C 120
 
2.1%
o 116
 
2.0%
S 106
 
1.9%
Other values (67) 2122
37.4%
Hangul
ValueCountFrequency (%)
점 1250
 
4.0%
이 771
 
2.5%
리 744
 
2.4%
스 604
 
1.9%
대 567
 
1.8%
장 507
 
1.6%
식 465
 
1.5%
당 353
 
1.1%
마 339
 
1.1%
안 338
 
1.1%
Other values (865) 25133
80.9%
None
ValueCountFrequency (%)
· 5
83.3%
° 1
 
16.7%
Punctuation
ValueCountFrequency (%)
’ 3
75.0%
′ 1
 
25.0%
CJK
ValueCountFrequency (%)
喜 2
 
11.8%
勳 1
 
5.9%
二 1
 
5.9%
三 1
 
5.9%
仁 1
 
5.9%
李 1
 
5.9%
愛 1
 
5.9%
流 1
 
5.9%
園 1
 
5.9%
人 1
 
5.9%
Other values (6) 6
35.3%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅅ 1
25.0%
ㄹ 1
25.0%
ㅁ 1
25.0%
ㅈ 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
李 1
100.0%
Hiragana
ValueCountFrequency (%)
ゆ 1
20.0%
き 1
20.0%
の 1
20.0%
は 1
20.0%
な 1
20.0%
Modifier Letters
ValueCountFrequency (%)
˚ 1
100.0%

소재지(지번)
Text

Distinct4273
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
2023-12-12T17:13:38.439740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length46
Mean length24.440029
Min length17

Characters and Unicode

Total characters134078
Distinct characters381
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

Unique3550 ?
Unique (%)64.7%

Sample

1st row서울특별시 동대문구 용두동 235-2 1층
2nd row서울특별시 동대문구 청량리동 50-18
3rd row서울특별시 동대문구 용두동 754-9 (용머리길 57)
4th row서울특별시 동대문구 회기동 60-267
5th row서울특별시 동대문구 용두동 127-18
ValueCountFrequency (%)
동대문구 5488
21.9%
서울특별시 5486
21.9%
장안동 1258
 
5.0%
전농동 700
 
2.8%
제기동 585
 
2.3%
1층 547
 
2.2%
이문동 530
 
2.1%
답십리동 524
 
2.1%
회기동 502
 
2.0%
용두동 460
 
1.8%
Other values (4463) 9002
35.9%
2023-12-12T17:13:39.058383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
25034
18.7%
동 11213
 
8.4%
문 6086
 
4.5%
대 5644
 
4.2%
시 5632
 
4.2%
서 5560
 
4.1%
울 5528
 
4.1%
구 5502
 
4.1%
별 5489
 
4.1%
1 5488
 
4.1%
Other values (371) 52902
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 75702
56.5%
Decimal Number 26728
 
19.9%
Space Separator 25034
 
18.7%
Dash Punctuation 5085
 
3.8%
Open Punctuation 658
 
0.5%
Close Punctuation 658
 
0.5%
Uppercase Letter 162
 
0.1%
Lowercase Letter 24
 
< 0.1%
Math Symbol 18
 
< 0.1%
Other Punctuation 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 11213
14.8%
문 6086
 
8.0%
대 5644
 
7.5%
시 5632
 
7.4%
서 5560
 
7.3%
울 5528
 
7.3%
구 5502
 
7.3%
별 5489
 
7.3%
특 5486
 
7.2%
장 1502
 
2.0%
Other values (319) 18060
23.9%
Uppercase Letter
ValueCountFrequency (%)
K 18
 
11.1%
S 16
 
9.9%
J 11
 
6.8%
M 11
 
6.8%
W 11
 
6.8%
T 10
 
6.2%
E 10
 
6.2%
C 9
 
5.6%
A 9
 
5.6%
B 9
 
5.6%
Other values (10) 48
29.6%
Lowercase Letter
ValueCountFrequency (%)
e 8
33.3%
t 3
 
12.5%
s 3
 
12.5%
l 2
 
8.3%
a 2
 
8.3%
r 1
 
4.2%
w 1
 
4.2%
b 1
 
4.2%
o 1
 
4.2%
m 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
1 5488
20.5%
2 3536
13.2%
3 3507
13.1%
4 2692
10.1%
5 2223
8.3%
6 2153
 
8.1%
0 1970
 
7.4%
9 1835
 
6.9%
8 1698
 
6.4%
7 1626
 
6.1%
Other Punctuation
ValueCountFrequency (%)
& 3
33.3%
. 3
33.3%
: 2
22.2%
· 1
 
11.1%
Open Punctuation
ValueCountFrequency (%)
( 656
99.7%
[ 2
 
0.3%
Close Punctuation
ValueCountFrequency (%)
) 656
99.7%
] 2
 
0.3%
Space Separator
ValueCountFrequency (%)
25034
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5085
100.0%
Math Symbol
ValueCountFrequency (%)
~ 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 75702
56.5%
Common 58190
43.4%
Latin 186
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 11213
14.8%
문 6086
 
8.0%
대 5644
 
7.5%
시 5632
 
7.4%
서 5560
 
7.3%
울 5528
 
7.3%
구 5502
 
7.3%
별 5489
 
7.3%
특 5486
 
7.2%
장 1502
 
2.0%
Other values (319) 18060
23.9%
Latin
ValueCountFrequency (%)
K 18
 
9.7%
S 16
 
8.6%
J 11
 
5.9%
M 11
 
5.9%
W 11
 
5.9%
T 10
 
5.4%
E 10
 
5.4%
C 9
 
4.8%
A 9
 
4.8%
B 9
 
4.8%
Other values (21) 72
38.7%
Common
ValueCountFrequency (%)
25034
43.0%
1 5488
 
9.4%
- 5085
 
8.7%
2 3536
 
6.1%
3 3507
 
6.0%
4 2692
 
4.6%
5 2223
 
3.8%
6 2153
 
3.7%
0 1970
 
3.4%
9 1835
 
3.2%
Other values (11) 4667
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 75702
56.5%
ASCII 58375
43.5%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
25034
42.9%
1 5488
 
9.4%
- 5085
 
8.7%
2 3536
 
6.1%
3 3507
 
6.0%
4 2692
 
4.6%
5 2223
 
3.8%
6 2153
 
3.7%
0 1970
 
3.4%
9 1835
 
3.1%
Other values (41) 4852
 
8.3%
Hangul
ValueCountFrequency (%)
동 11213
14.8%
문 6086
 
8.0%
대 5644
 
7.5%
시 5632
 
7.4%
서 5560
 
7.3%
울 5528
 
7.3%
구 5502
 
7.3%
별 5489
 
7.3%
특 5486
 
7.2%
장 1502
 
2.0%
Other values (319) 18060
23.9%
None
ValueCountFrequency (%)
· 1
100.0%

영업자시작일
Date

Distinct2832
Distinct (%)51.6%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
Minimum1980-06-17 00:00:00
Maximum2023-08-04 00:00:00
2023-12-12T17:13:39.235155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:13:39.441029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업태명
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
한식
1976 
기타
809 
호프/통닭
431 
기타 휴게음식점
410 
커피숍
375 
Other values (29)
1485 

Length

Max length15
Median length2
Mean length3.2327743
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
한식 1976
36.0%
기타 809
14.7%
호프/통닭 431
 
7.9%
기타 휴게음식점 410
 
7.5%
커피숍 375
 
6.8%
분식 253
 
4.6%
편의점 220
 
4.0%
중국식 161
 
2.9%
일식 149
 
2.7%
경양식 147
 
2.7%
Other values (24) 555
 
10.1%

Length

2023-12-12T17:13:39.651356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
한식 1976
33.4%
기타 1219
20.6%
호프/통닭 431
 
7.3%
휴게음식점 410
 
6.9%
커피숍 375
 
6.3%
분식 253
 
4.3%
편의점 220
 
3.7%
중국식 161
 
2.7%
일식 149
 
2.5%
경양식 147
 
2.5%
Other values (25) 570
 
9.6%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
서울특별시 동대문구청
5486 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row서울특별시 동대문구청
2nd row서울특별시 동대문구청
3rd row서울특별시 동대문구청
4th row서울특별시 동대문구청
5th row서울특별시 동대문구청

Common Values

ValueCountFrequency (%)
서울특별시 동대문구청 5486
100.0%

Length

2023-12-12T17:13:39.827394image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:39.940113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서울특별시 5486
50.0%
동대문구청 5486
50.0%

관리기관 전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
02-2127-4839
5486 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2127-4839
2nd row02-2127-4839
3rd row02-2127-4839
4th row02-2127-4839
5th row02-2127-4839

Common Values

ValueCountFrequency (%)
02-2127-4839 5486
100.0%

Length

2023-12-12T17:13:40.069136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:40.198925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2127-4839 5486
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size43.0 KiB
2023-08-11
5486 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-11
2nd row2023-08-11
3rd row2023-08-11
4th row2023-08-11
5th row2023-08-11

Common Values

ValueCountFrequency (%)
2023-08-11 5486
100.0%

Length

2023-12-12T17:13:40.311333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:13:40.433640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-11 5486
100.0%

Correlations

2023-12-12T17:13:40.502476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0001.000
업태명1.0001.000
2023-12-12T17:13:40.623757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업태명업종명
업태명1.0000.988
업종명0.9881.000
2023-12-12T17:13:40.726309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업종명업태명
업종명1.0000.988
업태명0.9881.000

Missing values

2023-12-12T17:13:36.655169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:13:36.799526image/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.

Sample

업종명업소명소재지(지번)영업자시작일업태명관리기관명관리기관 전화번호데이터기준일자
0일반음식점매콤촌서울특별시 동대문구 용두동 235-2 1층2004-10-11한식서울특별시 동대문구청02-2127-48392023-08-11
1일반음식점혜성서울특별시 동대문구 청량리동 50-181993-06-09한식서울특별시 동대문구청02-2127-48392023-08-11
2일반음식점대성집서울특별시 동대문구 용두동 754-9 (용머리길 57)1981-09-07한식서울특별시 동대문구청02-2127-48392023-08-11
3일반음식점일미기사식당서울특별시 동대문구 회기동 60-2672019-07-10한식서울특별시 동대문구청02-2127-48392023-08-11
4일반음식점허브영양족발서울특별시 동대문구 용두동 127-182019-02-11한식서울특별시 동대문구청02-2127-48392023-08-11
5일반음식점을목호프서울특별시 동대문구 전농동 295-302009-09-23호프/통닭서울특별시 동대문구청02-2127-48392023-08-11
6일반음식점메가커피서울특별시 동대문구 신설동 84-5 1층2016-10-17분식서울특별시 동대문구청02-2127-48392023-08-11
7일반음식점홍능족발서울특별시 동대문구 청량리동 3112020-05-26한식서울특별시 동대문구청02-2127-48392023-08-11
8일반음식점별미 명태랑 낙지랑서울특별시 동대문구 신설동 98-8 1층2015-09-23한식서울특별시 동대문구청02-2127-48392023-08-11
9일반음식점홍능갈비본점서울특별시 동대문구 청량리동 520-14 520-15 16 17 19 20 24 252016-12-30한식서울특별시 동대문구청02-2127-48392023-08-11
업종명업소명소재지(지번)영업자시작일업태명관리기관명관리기관 전화번호데이터기준일자
5476휴게음식점오세치 롯데백화점 청량리점서울특별시 동대문구 전농동 591-53 청량리역 롯데백화점2023-07-21기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5477휴게음식점씨유 용두신동아점서울특별시 동대문구 용두동 127-102023-07-24기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5478휴게음식점이마트24 장안은하수점서울특별시 동대문구 장안동 295-92023-07-24기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5479휴게음식점대한인삼서울특별시 동대문구 용두동 92-72023-07-26기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5480휴게음식점전농 닭강정서울특별시 동대문구 전농동 566-32023-07-28기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5481휴게음식점윤호손수호두파이서울특별시 동대문구 전농동 591-53 청량리역 롯데백화점2023-07-28기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5482휴게음식점퐁치 커피익스프레스 회기역점서울특별시 동대문구 청량리동 2-52023-08-01커피숍서울특별시 동대문구청02-2127-48392023-08-11
5483휴게음식점유영 커피바서울특별시 동대문구 휘경동 312-1462023-08-02기타 휴게음식점서울특별시 동대문구청02-2127-48392023-08-11
5484휴게음식점세븐일레븐 휘경베스트서울특별시 동대문구 휘경동 286-892023-08-03편의점서울특별시 동대문구청02-2127-48392023-08-11
5485휴게음식점구하니 커피서울특별시 동대문구 전농동 295-4312023-08-04커피숍서울특별시 동대문구청02-2127-48392023-08-11

Duplicate rows

Most frequently occurring

업종명업소명소재지(지번)영업자시작일업태명관리기관명관리기관 전화번호데이터기준일자# duplicates
0일반음식점이문동 그집서울특별시 동대문구 이문동 255-3802018-10-23한식서울특별시 동대문구청02-2127-48392023-08-112
1휴게음식점카페쿠피서울특별시 동대문구 회기동 1-52021-05-31커피숍서울특별시 동대문구청02-2127-48392023-08-112