Overview

Dataset statistics

Number of variables8
Number of observations719
Missing cells316
Missing cells (%)5.5%
Duplicate rows9
Duplicate rows (%)1.3%
Total size in memory45.1 KiB
Average record size in memory64.2 B

Variable types

Categorical3
Text4
DateTime1

Dataset

Description충청북도 제천시 담배소매인지정현황 - 소매인구분, 업소명, 업소지번주소, 업소도로명주소, 업소전화번호, 지정일자, 영업구분으로 구성되어 있음
Author충청북도 제천시
URLhttps://www.data.go.kr/data/15028162/fileData.do

Alerts

영업구분 has constant value ""Constant
데이터기준일자 has constant value ""Constant
Dataset has 9 (1.3%) duplicate rowsDuplicates
소매인구분 is highly imbalanced (75.6%)Imbalance
업소전화번호 has 316 (43.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 21:28:41.734071
Analysis finished2023-12-12 21:28:42.530536
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

소매인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
일반소매인
690 
구내소매인
 
29

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반소매인 690
96.0%
구내소매인 29
 
4.0%

Length

2023-12-13T06:28:42.618185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:42.734703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 690
96.0%
구내소매인 29
 
4.0%

업소명
Text

Distinct640
Distinct (%)89.0%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T06:28:42.968288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length6.7079277
Min length1

Characters and Unicode

Total characters4823
Distinct characters398
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

Unique612 ?
Unique (%)85.1%

Sample

1st row지에스25(GS25)제천두학점
2nd row한두실 휴계소
3rd row지에스25 제천복합타운점
4th row지에스25(GS25) 세명사거리점
5th row느티나무상회
ValueCountFrequency (%)
세븐일레븐 36
 
4.0%
씨유 31
 
3.4%
잡화 27
 
3.0%
식잡 16
 
1.8%
이마트24 13
 
1.4%
지에스(gs)25 10
 
1.1%
gs25 7
 
0.8%
지에스25 7
 
0.8%
소매 5
 
0.6%
제천 5
 
0.6%
Other values (692) 751
82.7%
2023-12-13T06:28:43.409995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 213
 
4.4%
천 205
 
4.3%
제 201
 
4.2%
200
 
4.1%
마 124
 
2.6%
트 117
 
2.4%
퍼 100
 
2.1%
슈 93
 
1.9%
븐 88
 
1.8%
2 70
 
1.5%
Other values (388) 3412
70.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4255
88.2%
Space Separator 200
 
4.1%
Decimal Number 153
 
3.2%
Uppercase Letter 105
 
2.2%
Close Punctuation 47
 
1.0%
Open Punctuation 46
 
1.0%
Lowercase Letter 9
 
0.2%
Dash Punctuation 4
 
0.1%
Other Punctuation 3
 
0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 213
 
5.0%
천 205
 
4.8%
제 201
 
4.7%
마 124
 
2.9%
트 117
 
2.7%
퍼 100
 
2.4%
슈 93
 
2.2%
븐 88
 
2.1%
식 69
 
1.6%
세 61
 
1.4%
Other values (352) 2984
70.1%
Uppercase Letter
ValueCountFrequency (%)
S 32
30.5%
G 30
28.6%
C 13
12.4%
U 10
 
9.5%
R 4
 
3.8%
J 2
 
1.9%
L 2
 
1.9%
I 2
 
1.9%
E 2
 
1.9%
H 2
 
1.9%
Other values (5) 6
 
5.7%
Decimal Number
ValueCountFrequency (%)
2 70
45.8%
5 47
30.7%
4 23
 
15.0%
1 4
 
2.6%
8 4
 
2.6%
0 2
 
1.3%
6 1
 
0.7%
9 1
 
0.7%
3 1
 
0.7%
Lowercase Letter
ValueCountFrequency (%)
l 3
33.3%
o 2
22.2%
e 2
22.2%
s 1
 
11.1%
f 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
! 1
33.3%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 46
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4256
88.2%
Common 453
 
9.4%
Latin 114
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 213
 
5.0%
천 205
 
4.8%
제 201
 
4.7%
마 124
 
2.9%
트 117
 
2.7%
퍼 100
 
2.3%
슈 93
 
2.2%
븐 88
 
2.1%
식 69
 
1.6%
세 61
 
1.4%
Other values (353) 2985
70.1%
Latin
ValueCountFrequency (%)
S 32
28.1%
G 30
26.3%
C 13
11.4%
U 10
 
8.8%
R 4
 
3.5%
l 3
 
2.6%
J 2
 
1.8%
o 2
 
1.8%
L 2
 
1.8%
I 2
 
1.8%
Other values (10) 14
12.3%
Common
ValueCountFrequency (%)
200
44.2%
2 70
 
15.5%
) 47
 
10.4%
5 47
 
10.4%
( 46
 
10.2%
4 23
 
5.1%
- 4
 
0.9%
1 4
 
0.9%
8 4
 
0.9%
0 2
 
0.4%
Other values (5) 6
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4255
88.2%
ASCII 567
 
11.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 213
 
5.0%
천 205
 
4.8%
제 201
 
4.7%
마 124
 
2.9%
트 117
 
2.7%
퍼 100
 
2.4%
슈 93
 
2.2%
븐 88
 
2.1%
식 69
 
1.6%
세 61
 
1.4%
Other values (352) 2984
70.1%
ASCII
ValueCountFrequency (%)
200
35.3%
2 70
 
12.3%
) 47
 
8.3%
5 47
 
8.3%
( 46
 
8.1%
S 32
 
5.6%
G 30
 
5.3%
4 23
 
4.1%
C 13
 
2.3%
U 10
 
1.8%
Other values (25) 49
 
8.6%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업소지번주소
Text

Distinct639
Distinct (%)88.9%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T06:28:43.721001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length37
Mean length20.834492
Min length1

Characters and Unicode

Total characters14980
Distinct characters201
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

Unique621 ?
Unique (%)86.4%

Sample

1st row충청북도 제천시 흑석동 480-8
2nd row충청북도 제천시 금성면 중전리 183
3rd row충청북도 제천시 신월동 1469 제천 행복주택
4th row충청북도 제천시 모산동 56-2
5th row충청북도 제천시 백운면 원월리 17-12
ValueCountFrequency (%)
제천시 653
20.4%
충청북도 653
20.4%
청전동 78
 
2.4%
호 53
 
1.7%
화산동 49
 
1.5%
장락동 40
 
1.2%
봉양읍 34
 
1.1%
하소동 30
 
0.9%
수산면 27
 
0.8%
의림동 26
 
0.8%
Other values (836) 1564
48.8%
2023-12-13T06:28:44.209309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3508
23.4%
청 746
 
5.0%
천 707
 
4.7%
도 678
 
4.5%
제 675
 
4.5%
시 661
 
4.4%
북 654
 
4.4%
충 653
 
4.4%
1 584
 
3.9%
동 513
 
3.4%
Other values (191) 5601
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8613
57.5%
Space Separator 3508
23.4%
Decimal Number 2614
 
17.4%
Dash Punctuation 223
 
1.5%
Math Symbol 5
 
< 0.1%
Uppercase Letter 5
 
< 0.1%
Close Punctuation 4
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Open Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 746
 
8.7%
천 707
 
8.2%
도 678
 
7.9%
제 675
 
7.8%
시 661
 
7.7%
북 654
 
7.6%
충 653
 
7.6%
동 513
 
6.0%
호 468
 
5.4%
지 295
 
3.4%
Other values (171) 2563
29.8%
Decimal Number
ValueCountFrequency (%)
1 584
22.3%
2 345
13.2%
3 266
10.2%
4 226
 
8.6%
5 224
 
8.6%
0 220
 
8.4%
6 212
 
8.1%
8 187
 
7.2%
9 183
 
7.0%
7 167
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
C 2
40.0%
U 1
20.0%
D 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
3508
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 223
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8613
57.5%
Common 6362
42.5%
Latin 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 746
 
8.7%
천 707
 
8.2%
도 678
 
7.9%
제 675
 
7.8%
시 661
 
7.7%
북 654
 
7.6%
충 653
 
7.6%
동 513
 
6.0%
호 468
 
5.4%
지 295
 
3.4%
Other values (171) 2563
29.8%
Common
ValueCountFrequency (%)
3508
55.1%
1 584
 
9.2%
2 345
 
5.4%
3 266
 
4.2%
4 226
 
3.6%
5 224
 
3.5%
- 223
 
3.5%
0 220
 
3.5%
6 212
 
3.3%
8 187
 
2.9%
Other values (6) 367
 
5.8%
Latin
ValueCountFrequency (%)
C 2
40.0%
U 1
20.0%
D 1
20.0%
E 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8613
57.5%
ASCII 6367
42.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3508
55.1%
1 584
 
9.2%
2 345
 
5.4%
3 266
 
4.2%
4 226
 
3.5%
5 224
 
3.5%
- 223
 
3.5%
0 220
 
3.5%
6 212
 
3.3%
8 187
 
2.9%
Other values (10) 372
 
5.8%
Hangul
ValueCountFrequency (%)
청 746
 
8.7%
천 707
 
8.2%
도 678
 
7.9%
제 675
 
7.8%
시 661
 
7.7%
북 654
 
7.6%
충 653
 
7.6%
동 513
 
6.0%
호 468
 
5.4%
지 295
 
3.4%
Other values (171) 2563
29.8%

업소도로명주소
Text

Distinct486
Distinct (%)67.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T06:28:44.520362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length54
Mean length17.94854
Min length1

Characters and Unicode

Total characters12905
Distinct characters218
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

Unique481 ?
Unique (%)66.9%

Sample

1st row충청북도 제천시 의병대로 412 (흑석동)
2nd row충청북도 제천시 금성면 신담2길 6
3rd row충청북도 제천시 복합타운길 135. 1층 2호 (신월동. 제천 행복주택)
4th row충청북도 제천시 의림대로 615. 1층 (모산동)
5th row충청북도 제천시 백운면 애련로 204
ValueCountFrequency (%)
충청북도 489
 
18.1%
제천시 489
 
18.1%
1층 68
 
2.5%
청전동 57
 
2.1%
장락동 39
 
1.4%
화산동 30
 
1.1%
봉양읍 26
 
1.0%
하소동 26
 
1.0%
의림대로 24
 
0.9%
상가동 23
 
0.9%
Other values (656) 1425
52.9%
2023-12-13T06:28:45.001025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2525
19.6%
청 621
 
4.8%
천 561
 
4.3%
1 552
 
4.3%
제 534
 
4.1%
북 501
 
3.9%
도 495
 
3.8%
시 494
 
3.8%
로 493
 
3.8%
충 489
 
3.8%
Other values (208) 5640
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7508
58.2%
Space Separator 2525
 
19.6%
Decimal Number 1894
 
14.7%
Open Punctuation 361
 
2.8%
Close Punctuation 361
 
2.8%
Other Punctuation 175
 
1.4%
Dash Punctuation 64
 
0.5%
Math Symbol 8
 
0.1%
Uppercase Letter 8
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
청 621
 
8.3%
천 561
 
7.5%
제 534
 
7.1%
북 501
 
6.7%
도 495
 
6.6%
시 494
 
6.6%
로 493
 
6.6%
충 489
 
6.5%
동 405
 
5.4%
길 205
 
2.7%
Other values (186) 2710
36.1%
Decimal Number
ValueCountFrequency (%)
1 552
29.1%
2 287
15.2%
3 204
 
10.8%
0 179
 
9.5%
4 148
 
7.8%
5 134
 
7.1%
6 116
 
6.1%
7 107
 
5.6%
9 86
 
4.5%
8 81
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 2
25.0%
A 2
25.0%
C 2
25.0%
U 1
12.5%
E 1
12.5%
Space Separator
ValueCountFrequency (%)
2525
100.0%
Open Punctuation
ValueCountFrequency (%)
( 361
100.0%
Close Punctuation
ValueCountFrequency (%)
) 361
100.0%
Other Punctuation
ValueCountFrequency (%)
. 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7508
58.2%
Common 5388
41.8%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
청 621
 
8.3%
천 561
 
7.5%
제 534
 
7.1%
북 501
 
6.7%
도 495
 
6.6%
시 494
 
6.6%
로 493
 
6.6%
충 489
 
6.5%
동 405
 
5.4%
길 205
 
2.7%
Other values (186) 2710
36.1%
Common
ValueCountFrequency (%)
2525
46.9%
1 552
 
10.2%
( 361
 
6.7%
) 361
 
6.7%
2 287
 
5.3%
3 204
 
3.8%
0 179
 
3.3%
. 175
 
3.2%
4 148
 
2.7%
5 134
 
2.5%
Other values (6) 462
 
8.6%
Latin
ValueCountFrequency (%)
B 2
22.2%
A 2
22.2%
C 2
22.2%
e 1
11.1%
U 1
11.1%
E 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7507
58.2%
ASCII 5397
41.8%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2525
46.8%
1 552
 
10.2%
( 361
 
6.7%
) 361
 
6.7%
2 287
 
5.3%
3 204
 
3.8%
0 179
 
3.3%
. 175
 
3.2%
4 148
 
2.7%
5 134
 
2.5%
Other values (12) 471
 
8.7%
Hangul
ValueCountFrequency (%)
청 621
 
8.3%
천 561
 
7.5%
제 534
 
7.1%
북 501
 
6.7%
도 495
 
6.6%
시 494
 
6.6%
로 493
 
6.6%
충 489
 
6.5%
동 405
 
5.4%
길 205
 
2.7%
Other values (185) 2709
36.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

업소전화번호
Text

MISSING 

Distinct228
Distinct (%)56.6%
Missing316
Missing (%)43.9%
Memory size5.7 KiB
2023-12-13T06:28:45.303698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.3052109
Min length1

Characters and Unicode

Total characters2944
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

Unique225 ?
Unique (%)55.8%

Sample

1st row043-642-8261
2nd row033-748-3187
3rd row043-645-3549
4th row1577-0711
5th row043-646-2259
ValueCountFrequency (%)
033-254-7095 4
 
1.7%
043 3
 
1.3%
043-642-8855 2
 
0.9%
043-643-6059 1
 
0.4%
043-645-1500 1
 
0.4%
043-648-5332 1
 
0.4%
043-644-5337 1
 
0.4%
043-653-3655 1
 
0.4%
043-645-2468 1
 
0.4%
043-646-3335 1
 
0.4%
Other values (218) 218
93.2%
2023-12-13T06:28:46.096781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 497
16.9%
- 458
15.6%
3 366
12.4%
0 363
12.3%
6 327
11.1%
5 199
6.8%
175
 
5.9%
2 159
 
5.4%
8 115
 
3.9%
1 114
 
3.9%
Other values (2) 171
 
5.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2311
78.5%
Dash Punctuation 458
 
15.6%
Space Separator 175
 
5.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 497
21.5%
3 366
15.8%
0 363
15.7%
6 327
14.1%
5 199
8.6%
2 159
 
6.9%
8 115
 
5.0%
1 114
 
4.9%
7 103
 
4.5%
9 68
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 458
100.0%
Space Separator
ValueCountFrequency (%)
175
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2944
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 497
16.9%
- 458
15.6%
3 366
12.4%
0 363
12.3%
6 327
11.1%
5 199
6.8%
175
 
5.9%
2 159
 
5.4%
8 115
 
3.9%
1 114
 
3.9%
Other values (2) 171
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2944
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 497
16.9%
- 458
15.6%
3 366
12.4%
0 363
12.3%
6 327
11.1%
5 199
6.8%
175
 
5.9%
2 159
 
5.4%
8 115
 
3.9%
1 114
 
3.9%
Other values (2) 171
 
5.8%

지정일자
Date

Distinct619
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
Minimum1971-07-01 00:00:00
Maximum2023-08-25 00:00:00
2023-12-13T06:28:46.263833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T06:28:46.393401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
정상영업
719 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상영업 719
100.0%

Length

2023-12-13T06:28:46.526005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:46.617447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상영업 719
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-08-30
719 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-30
2nd row2023-08-30
3rd row2023-08-30
4th row2023-08-30
5th row2023-08-30

Common Values

ValueCountFrequency (%)
2023-08-30 719
100.0%

Length

2023-12-13T06:28:46.740562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T06:28:46.844305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-30 719
100.0%

Missing values

2023-12-13T06:28:42.339988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:28:42.481611image/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

소매인구분업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분데이터기준일자
0일반소매인지에스25(GS25)제천두학점충청북도 제천시 흑석동 480-8충청북도 제천시 의병대로 412 (흑석동)<NA>2023-08-25정상영업2023-08-30
1일반소매인한두실 휴계소충청북도 제천시 금성면 중전리 183충청북도 제천시 금성면 신담2길 6<NA>2023-08-24정상영업2023-08-30
2일반소매인지에스25 제천복합타운점충청북도 제천시 신월동 1469 제천 행복주택충청북도 제천시 복합타운길 135. 1층 2호 (신월동. 제천 행복주택)<NA>2023-08-14정상영업2023-08-30
3일반소매인지에스25(GS25) 세명사거리점충청북도 제천시 모산동 56-2충청북도 제천시 의림대로 615. 1층 (모산동)<NA>2023-08-03정상영업2023-08-30
4일반소매인느티나무상회충청북도 제천시 백운면 원월리 17-12충청북도 제천시 백운면 애련로 204<NA>2023-08-02정상영업2023-08-30
5일반소매인제천 참!좋은 글램핑충청북도 제천시 봉양읍 옥전리 396-2충청북도 제천시 봉양읍 옥전길 303<NA>2023-07-25정상영업2023-08-30
6일반소매인지에스25 제천세경점충청북도 제천시 동현동 63-1 세경아파트충청북도 제천시 의병대로30길 8 (동현동)<NA>2023-06-26정상영업2023-08-30
7일반소매인세븐일레븐 제천세명대점충청북도 제천시 모산동 105-20충청북도 제천시 세명로 59. 1층 (모산동)<NA>2023-06-15정상영업2023-08-30
8일반소매인공원24마트충청북도 제천시 왕암동 916충청북도 제천시 바이오밸리3로 77-16. 1층 1호 (왕암동)043-642-82612023-06-15정상영업2023-08-30
9일반소매인태기식품충청북도 제천시 동현동 222-5충청북도 제천시 원화산로 122 (동현동)<NA>2023-06-08정상영업2023-08-30
소매인구분업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분데이터기준일자
709일반소매인잡화충청북도 제천시 수산면 수리 79호1975-07-01정상영업2023-08-30
710일반소매인잡화충청북도 제천시 덕산면 신현리 699호1975-08-16정상영업2023-08-30
711일반소매인잡화충청북도 제천시 수산면 내리 272호1975-07-01정상영업2023-08-30
712일반소매인잡화충청북도 제천시 덕산면 도전리 812호1975-07-01정상영업2023-08-30
713일반소매인경남수퍼충청북도 제천시 남천동충청북도 제천시 의병대로21길 5 (남천동)1975-11-03정상영업2023-08-30
714일반소매인동문 닭 생선충청북도 제천시 중앙로1가 113호<NA>1975-07-01정상영업2023-08-30
715일반소매인잡화도매충청북도 제천시 의림동 99호1975-07-01정상영업2023-08-30
716일반소매인잡화호1975-07-01정상영업2023-08-30
717일반소매인부녀회구판장충청북도 제천시 송학면 무도리 280호1975-07-01정상영업2023-08-30
718구내소매인이발소충청북도 제천시 장락동 691-2호1971-07-01정상영업2023-08-30

Duplicate rows

Most frequently occurring

소매인구분업소명업소지번주소업소도로명주소업소전화번호지정일자영업구분데이터기준일자# duplicates
0일반소매인경남수퍼충청북도 제천시 남천동충청북도 제천시 의병대로21길 5 (남천동)1975-11-03정상영업2023-08-302
1일반소매인동문 닭 생선충청북도 제천시 중앙로1가 113호<NA>1975-07-01정상영업2023-08-302
2일반소매인부녀회구판장충청북도 제천시 송학면 무도리 280호1975-07-01정상영업2023-08-302
3일반소매인영동두꺼비충청북도 제천시 신백동 203-100호1994-06-22정상영업2023-08-302
4일반소매인잡화충청북도 제천시 덕산면 도전리 812호1975-07-01정상영업2023-08-302
5일반소매인잡화충청북도 제천시 덕산면 신현리 699호1975-08-16정상영업2023-08-302
6일반소매인잡화충청북도 제천시 수산면 내리 272호1975-07-01정상영업2023-08-302
7일반소매인잡화충청북도 제천시 수산면 수리 79호1975-07-01정상영업2023-08-302
8일반소매인잡화도매충청북도 제천시 의림동 99호1975-07-01정상영업2023-08-302