Overview

Dataset statistics

Number of variables5
Number of observations1964
Missing cells0
Missing cells (%)0.0%
Duplicate rows4
Duplicate rows (%)0.2%
Total size in memory76.8 KiB
Average record size in memory40.1 B

Variable types

Text4
DateTime1

Dataset

Description경상북도 포항시 담배소매인 지정현황에 관한 데이터로 포항시 담배소매인 업소명, 주소, 전화번호, 지정일자 등의 정보를 제공합니다.
Author경상북도 포항시
URLhttps://www.data.go.kr/data/15021213/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 4 (0.2%) duplicate rowsDuplicates

Reproduction

Analysis started2024-04-06 09:03:37.361354
Analysis finished2024-04-06 09:03:38.630444
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

Distinct1676
Distinct (%)85.3%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-04-06T18:03:39.143788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length6.8625255
Min length2

Characters and Unicode

Total characters13478
Distinct characters539
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1582 ?
Unique (%)80.5%

Sample

1st row환호100억부동산중개사무소
2nd row퍼스트부동산컨설팅
3rd row세븐일레븐포항학산롯데점
4th row포항베이핑전자담배죽도점
5th row청마종합상사
ValueCountFrequency (%)
잡화 101
 
4.0%
씨유 100
 
4.0%
세븐일레븐 72
 
2.9%
이마트24 54
 
2.1%
gs25 51
 
2.0%
지에스(gs)25 40
 
1.6%
지에스25 19
 
0.8%
식잡 15
 
0.6%
없음 15
 
0.6%
주)코리아세븐 15
 
0.6%
Other values (1740) 2043
80.9%
2024-04-06T18:03:39.951153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 704
 
5.2%
562
 
4.2%
포 516
 
3.8%
항 466
 
3.5%
마 455
 
3.4%
트 442
 
3.3%
2 256
 
1.9%
유 209
 
1.6%
스 204
 
1.5%
퍼 193
 
1.4%
Other values (529) 9471
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11478
85.2%
Space Separator 562
 
4.2%
Decimal Number 535
 
4.0%
Uppercase Letter 474
 
3.5%
Close Punctuation 191
 
1.4%
Open Punctuation 191
 
1.4%
Lowercase Letter 37
 
0.3%
Other Punctuation 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 704
 
6.1%
포 516
 
4.5%
항 466
 
4.1%
마 455
 
4.0%
트 442
 
3.9%
유 209
 
1.8%
스 204
 
1.8%
퍼 193
 
1.7%
일 184
 
1.6%
이 180
 
1.6%
Other values (481) 7925
69.0%
Uppercase Letter
ValueCountFrequency (%)
S 166
35.0%
G 152
32.1%
C 39
 
8.2%
U 28
 
5.9%
N 13
 
2.7%
K 13
 
2.7%
R 12
 
2.5%
D 8
 
1.7%
T 8
 
1.7%
P 6
 
1.3%
Other values (10) 29
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
c 7
18.9%
u 6
16.2%
e 4
10.8%
a 4
10.8%
s 3
8.1%
t 3
8.1%
g 3
8.1%
h 2
 
5.4%
l 2
 
5.4%
k 1
 
2.7%
Other values (2) 2
 
5.4%
Decimal Number
ValueCountFrequency (%)
2 256
47.9%
5 178
33.3%
4 71
 
13.3%
1 14
 
2.6%
3 4
 
0.7%
0 4
 
0.7%
7 3
 
0.6%
9 3
 
0.6%
6 2
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 7
70.0%
& 1
 
10.0%
? 1
 
10.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
562
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11478
85.2%
Common 1489
 
11.0%
Latin 511
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 704
 
6.1%
포 516
 
4.5%
항 466
 
4.1%
마 455
 
4.0%
트 442
 
3.9%
유 209
 
1.8%
스 204
 
1.8%
퍼 193
 
1.7%
일 184
 
1.6%
이 180
 
1.6%
Other values (481) 7925
69.0%
Latin
ValueCountFrequency (%)
S 166
32.5%
G 152
29.7%
C 39
 
7.6%
U 28
 
5.5%
N 13
 
2.5%
K 13
 
2.5%
R 12
 
2.3%
D 8
 
1.6%
T 8
 
1.6%
c 7
 
1.4%
Other values (22) 65
 
12.7%
Common
ValueCountFrequency (%)
562
37.7%
2 256
17.2%
) 191
 
12.8%
( 191
 
12.8%
5 178
 
12.0%
4 71
 
4.8%
1 14
 
0.9%
. 7
 
0.5%
3 4
 
0.3%
0 4
 
0.3%
Other values (6) 11
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11478
85.2%
ASCII 2000
 
14.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 704
 
6.1%
포 516
 
4.5%
항 466
 
4.1%
마 455
 
4.0%
트 442
 
3.9%
유 209
 
1.8%
스 204
 
1.8%
퍼 193
 
1.7%
일 184
 
1.6%
이 180
 
1.6%
Other values (481) 7925
69.0%
ASCII
ValueCountFrequency (%)
562
28.1%
2 256
12.8%
) 191
 
9.6%
( 191
 
9.6%
5 178
 
8.9%
S 166
 
8.3%
G 152
 
7.6%
4 71
 
3.5%
C 39
 
1.9%
U 28
 
1.4%
Other values (38) 166
 
8.3%

도로명 주소
Text

Distinct1609
Distinct (%)81.9%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-04-06T18:03:40.515804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length58
Mean length24.762729
Min length1

Characters and Unicode

Total characters48634
Distinct characters339
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1556 ?
Unique (%)79.2%

Sample

1st row경상북도 포항시 북구 새천년대로 1298-7 (장성동)
2nd row경상북도 포항시 북구 천마로72번길 35. 삼구트리니엔아파트 601동 101호 (양덕동)
3rd row경상북도 포항시 북구 학산로 59 (학산동)
4th row경상북도 포항시 북구 죽파로 30 (죽도동)
5th row경상북도 포항시 북구 양덕로6번길 61-7. 101호 (양덕동)
ValueCountFrequency (%)
경상북도 1669
 
15.5%
포항시 1669
 
15.5%
북구 874
 
8.1%
남구 795
 
7.4%
1층 201
 
1.9%
오천읍 195
 
1.8%
흥해읍 185
 
1.7%
죽도동 127
 
1.2%
구룡포읍 91
 
0.8%
연일읍 88
 
0.8%
Other values (1679) 4879
45.3%
2024-04-06T18:03:41.356408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9660
19.9%
북 2549
 
5.2%
도 2075
 
4.3%
포 1894
 
3.9%
상 1866
 
3.8%
1 1857
 
3.8%
구 1829
 
3.8%
항 1739
 
3.6%
시 1701
 
3.5%
경 1681
 
3.5%
Other values (329) 21783
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29090
59.8%
Space Separator 9660
 
19.9%
Decimal Number 7043
 
14.5%
Close Punctuation 954
 
2.0%
Open Punctuation 954
 
2.0%
Other Punctuation 529
 
1.1%
Dash Punctuation 350
 
0.7%
Uppercase Letter 44
 
0.1%
Math Symbol 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 2549
 
8.8%
도 2075
 
7.1%
포 1894
 
6.5%
상 1866
 
6.4%
구 1829
 
6.3%
항 1739
 
6.0%
시 1701
 
5.8%
경 1681
 
5.8%
로 1478
 
5.1%
동 1255
 
4.3%
Other values (291) 11023
37.9%
Uppercase Letter
ValueCountFrequency (%)
B 7
15.9%
A 7
15.9%
C 5
11.4%
I 3
 
6.8%
K 3
 
6.8%
L 3
 
6.8%
G 2
 
4.5%
T 2
 
4.5%
M 2
 
4.5%
S 2
 
4.5%
Other values (7) 8
18.2%
Decimal Number
ValueCountFrequency (%)
1 1857
26.4%
2 1004
14.3%
3 720
 
10.2%
4 598
 
8.5%
0 591
 
8.4%
5 588
 
8.3%
6 497
 
7.1%
7 427
 
6.1%
8 381
 
5.4%
9 380
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
a 1
25.0%
y 1
25.0%
t 1
25.0%
i 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 528
99.8%
/ 1
 
0.2%
Space Separator
ValueCountFrequency (%)
9660
100.0%
Close Punctuation
ValueCountFrequency (%)
) 954
100.0%
Open Punctuation
ValueCountFrequency (%)
( 954
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 350
100.0%
Math Symbol
ValueCountFrequency (%)
~ 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29090
59.8%
Common 19496
40.1%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 2549
 
8.8%
도 2075
 
7.1%
포 1894
 
6.5%
상 1866
 
6.4%
구 1829
 
6.3%
항 1739
 
6.0%
시 1701
 
5.8%
경 1681
 
5.8%
로 1478
 
5.1%
동 1255
 
4.3%
Other values (291) 11023
37.9%
Latin
ValueCountFrequency (%)
B 7
14.6%
A 7
14.6%
C 5
10.4%
I 3
 
6.2%
K 3
 
6.2%
L 3
 
6.2%
G 2
 
4.2%
T 2
 
4.2%
M 2
 
4.2%
S 2
 
4.2%
Other values (11) 12
25.0%
Common
ValueCountFrequency (%)
9660
49.5%
1 1857
 
9.5%
2 1004
 
5.1%
) 954
 
4.9%
( 954
 
4.9%
3 720
 
3.7%
4 598
 
3.1%
0 591
 
3.0%
5 588
 
3.0%
. 528
 
2.7%
Other values (7) 2042
 
10.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29090
59.8%
ASCII 19544
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9660
49.4%
1 1857
 
9.5%
2 1004
 
5.1%
) 954
 
4.9%
( 954
 
4.9%
3 720
 
3.7%
4 598
 
3.1%
0 591
 
3.0%
5 588
 
3.0%
. 528
 
2.7%
Other values (28) 2090
 
10.7%
Hangul
ValueCountFrequency (%)
북 2549
 
8.8%
도 2075
 
7.1%
포 1894
 
6.5%
상 1866
 
6.4%
구 1829
 
6.3%
항 1739
 
6.0%
시 1701
 
5.8%
경 1681
 
5.8%
로 1478
 
5.1%
동 1255
 
4.3%
Other values (291) 11023
37.9%

지번 주소
Text

Distinct1773
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-04-06T18:03:42.012688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length44
Mean length25.065173
Min length1

Characters and Unicode

Total characters49228
Distinct characters319
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1729 ?
Unique (%)88.0%

Sample

1st row경상북도 포항시 북구 장성동 1445-1
2nd row경상북도 포항시 북구 양덕동 1463 삼구트리니엔아파트 601동 101호
3rd row경상북도 포항시 북구 학산동 191-7
4th row경상북도 포항시 북구 죽도동 201-25
5th row경상북도 포항시 북구 양덕동 2122
ValueCountFrequency (%)
경상북도 1818
 
16.6%
포항시 1061
 
9.7%
남구 534
 
4.9%
북구 527
 
4.8%
포항시북구 431
 
3.9%
포항시남구 325
 
3.0%
호 308
 
2.8%
흥해읍 231
 
2.1%
오천읍 205
 
1.9%
구룡포읍 121
 
1.1%
Other values (1931) 5418
49.3%
2024-04-06T18:03:42.933475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11506
23.4%
북 2786
 
5.7%
도 2157
 
4.4%
포 2117
 
4.3%
구 2078
 
4.2%
상 1951
 
4.0%
항 1870
 
3.8%
시 1834
 
3.7%
경 1824
 
3.7%
1 1601
 
3.3%
Other values (309) 19504
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 29772
60.5%
Space Separator 11506
 
23.4%
Decimal Number 7516
 
15.3%
Dash Punctuation 377
 
0.8%
Uppercase Letter 30
 
0.1%
Other Punctuation 10
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Close Punctuation 8
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
북 2786
 
9.4%
도 2157
 
7.2%
포 2117
 
7.1%
구 2078
 
7.0%
상 1951
 
6.6%
항 1870
 
6.3%
시 1834
 
6.2%
경 1824
 
6.1%
호 1382
 
4.6%
지 1150
 
3.9%
Other values (279) 10623
35.7%
Uppercase Letter
ValueCountFrequency (%)
C 4
13.3%
B 4
13.3%
A 4
13.3%
L 4
13.3%
I 2
6.7%
S 2
6.7%
K 2
6.7%
H 2
6.7%
M 1
 
3.3%
W 1
 
3.3%
Other values (4) 4
13.3%
Decimal Number
ValueCountFrequency (%)
1 1601
21.3%
2 932
12.4%
3 838
11.1%
4 734
9.8%
5 673
9.0%
6 656
8.7%
0 557
 
7.4%
7 532
 
7.1%
8 508
 
6.8%
9 485
 
6.5%
Space Separator
ValueCountFrequency (%)
11506
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 377
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
a 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 29772
60.5%
Common 19425
39.5%
Latin 31
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
북 2786
 
9.4%
도 2157
 
7.2%
포 2117
 
7.1%
구 2078
 
7.0%
상 1951
 
6.6%
항 1870
 
6.3%
시 1834
 
6.2%
경 1824
 
6.1%
호 1382
 
4.6%
지 1150
 
3.9%
Other values (279) 10623
35.7%
Common
ValueCountFrequency (%)
11506
59.2%
1 1601
 
8.2%
2 932
 
4.8%
3 838
 
4.3%
4 734
 
3.8%
5 673
 
3.5%
6 656
 
3.4%
0 557
 
2.9%
7 532
 
2.7%
8 508
 
2.6%
Other values (5) 888
 
4.6%
Latin
ValueCountFrequency (%)
C 4
12.9%
B 4
12.9%
A 4
12.9%
L 4
12.9%
I 2
 
6.5%
S 2
 
6.5%
K 2
 
6.5%
H 2
 
6.5%
a 1
 
3.2%
M 1
 
3.2%
Other values (5) 5
16.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 29772
60.5%
ASCII 19456
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11506
59.1%
1 1601
 
8.2%
2 932
 
4.8%
3 838
 
4.3%
4 734
 
3.8%
5 673
 
3.5%
6 656
 
3.4%
0 557
 
2.9%
7 532
 
2.7%
8 508
 
2.6%
Other values (20) 919
 
4.7%
Hangul
ValueCountFrequency (%)
북 2786
 
9.4%
도 2157
 
7.2%
포 2117
 
7.1%
구 2078
 
7.0%
상 1951
 
6.6%
항 1870
 
6.3%
시 1834
 
6.2%
경 1824
 
6.1%
호 1382
 
4.6%
지 1150
 
3.9%
Other values (279) 10623
35.7%

지정일자
Text

Distinct1573
Distinct (%)80.1%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2024-04-06T18:03:43.417648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters19640
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1326 ?
Unique (%)67.5%

Sample

1st row2024-03-22
2nd row2024-03-19
3rd row2024-03-18
4th row2024-03-12
5th row2024-02-26
ValueCountFrequency (%)
1975-07-01 22
 
1.1%
1998-12-15 18
 
0.9%
1980-12-18 10
 
0.5%
1998-12-11 10
 
0.5%
1985-06-30 10
 
0.5%
1977-07-01 9
 
0.5%
1998-12-09 9
 
0.5%
1998-12-17 7
 
0.4%
1998-12-10 7
 
0.4%
1998-12-16 6
 
0.3%
Other values (1563) 1856
94.5%
2024-04-06T18:03:44.049532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4300
21.9%
- 3928
20.0%
2 3379
17.2%
1 3092
15.7%
9 1422
 
7.2%
8 770
 
3.9%
3 643
 
3.3%
7 630
 
3.2%
6 522
 
2.7%
5 489
 
2.5%
Other values (2) 465
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 15700
79.9%
Dash Punctuation 3928
 
20.0%
Space Separator 12
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4300
27.4%
2 3379
21.5%
1 3092
19.7%
9 1422
 
9.1%
8 770
 
4.9%
3 643
 
4.1%
7 630
 
4.0%
6 522
 
3.3%
5 489
 
3.1%
4 453
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 3928
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 19640
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4300
21.9%
- 3928
20.0%
2 3379
17.2%
1 3092
15.7%
9 1422
 
7.2%
8 770
 
3.9%
3 643
 
3.3%
7 630
 
3.2%
6 522
 
2.7%
5 489
 
2.5%
Other values (2) 465
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 19640
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4300
21.9%
- 3928
20.0%
2 3379
17.2%
1 3092
15.7%
9 1422
 
7.2%
8 770
 
3.9%
3 643
 
3.3%
7 630
 
3.2%
6 522
 
2.7%
5 489
 
2.5%
Other values (2) 465
 
2.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
Minimum2024-03-26 00:00:00
Maximum2024-03-26 00:00:00
2024-04-06T18:03:44.225738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:03:44.363521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2024-04-06T18:03:38.391866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:03:38.567556image/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

업소명도로명 주소지번 주소지정일자데이터기준일자
0환호100억부동산중개사무소경상북도 포항시 북구 새천년대로 1298-7 (장성동)경상북도 포항시 북구 장성동 1445-12024-03-222024-03-26
1퍼스트부동산컨설팅경상북도 포항시 북구 천마로72번길 35. 삼구트리니엔아파트 601동 101호 (양덕동)경상북도 포항시 북구 양덕동 1463 삼구트리니엔아파트 601동 101호2024-03-192024-03-26
2세븐일레븐포항학산롯데점경상북도 포항시 북구 학산로 59 (학산동)경상북도 포항시 북구 학산동 191-72024-03-182024-03-26
3포항베이핑전자담배죽도점경상북도 포항시 북구 죽파로 30 (죽도동)경상북도 포항시 북구 죽도동 201-252024-03-122024-03-26
4청마종합상사경상북도 포항시 북구 양덕로6번길 61-7. 101호 (양덕동)경상북도 포항시 북구 양덕동 21222024-02-262024-03-26
5지에스(GS)25 두호타운경상북도 포항시 북구 대곡로 47. 1층 (두호동)경상북도 포항시 북구 두호동 1096-62024-02-142024-03-26
6지에스25 포항산호점경상북도 포항시 북구 삼호로203번길 6 (두호동)경상북도 포항시 북구 두호동 1041-82024-01-222024-03-26
7씨유 양덕원룸타운 2호점경상북도 포항시 북구 양덕로30번길 62-1. 1층 (양덕동)경상북도 포항시 북구 양덕동 21322024-01-112024-03-26
8GS25 포항 보경로점경상북도 포항시 북구 송라면 보경로 452경상북도 포항시 북구 송라면 중산리 528-72024-03-192024-03-26
9경희편의점경상북도 포항시 북구 흥해읍 동해대로 1515-1경상북도 포항시 북구 흥해읍 옥성리 177-102024-03-122024-03-26
업소명도로명 주소지번 주소지정일자데이터기준일자
1954경순상회경상북도 포항시 남구 장기면 읍내길61번길 40-2경상북도 포항시 남구 장기면 임중리 366-111975-07-012024-03-26
1955없음경상북도 포항시 남구 오천읍 기림로1729번길 30-2경상북도 포항시남구 오천읍 갈평리 47호1975-07-012024-03-26
1956식료잡화경상북도 포항시남구 오천읍 문덕리 3호1975-07-012024-03-26
1957잡화경상북도 포항시남구 오천읍 문덕리 호 이주민주택제156호1975-07-012024-03-26
1958구평상회경상북도 포항시 남구 구룡포읍 동해안로4240번길 46-1경상북도 포항시남구 구룡포읍 구평리 177호1975-07-012024-03-26
1959잡화경상북도 포항시남구 구룡포읍 석병리 638호1975-07-012024-03-26
1960잡화경상북도 포항시남구 구룡포읍 병포리 157호1975-07-012024-03-26
1961잡화경상북도 포항시남구 구룡포읍 구룡포리 459호1975-07-012024-03-26
1962잡화경상북도 포항시남구 구룡포읍 구룡포리 733-17호1975-07-012024-03-26
1963버스낚시마트경상북도 포항시 북구 흥해읍 영일만항로 124경상북도 포항시 북구 흥해읍 용한리 23통2020-06-172024-03-26

Duplicate rows

Most frequently occurring

업소명도로명 주소지번 주소지정일자데이터기준일자# duplicates
0대구유통 대송점경상북도 포항시 남구 대송면 제내길 39경상북도 포항시 남구 대송면 제내리 281번지 39호2012-02-272024-03-262
1수정마트경상북도 포항시북구 학잠동 21번지 1 호2001-07-202024-03-262
2영진상회경상북도 포항시 남구 구룡포읍 병포길 12-2경상북도 포항시남구 구룡포읍 병포리 157번지 127호2003-11-142024-03-262
3한우포도청경상북도 포항시 북구 기계면 근면길 22경상북도 포항시북구 기계면 현내리 278번지 3호2008-06-052024-03-262