Overview

Dataset statistics

Number of variables6
Number of observations3011
Missing cells675
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory144.2 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text4
Categorical1

Dataset

Description충청남도 보령시 보령사랑상품권 가맹점 현황자료의 연번, 상호, 소재지, 사업장 전화번호, 행정동, 업종 현황자료 공개데이터
Author충청남도 보령시
URLhttps://www.data.go.kr/data/15089537/fileData.do

Alerts

사업장전화번호 has 675 (22.4%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:50:10.318116
Analysis finished2023-12-12 22:50:11.606789
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct3011
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1506.1069
Minimum1
Maximum3013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size26.6 KiB
2023-12-13T07:50:11.714019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile151.5
Q1753.5
median1506
Q32258.5
95-th percentile2862.5
Maximum3013
Range3012
Interquartile range (IQR)1505

Descriptive statistics

Standard deviation869.5206
Coefficient of variation (CV)0.57732992
Kurtosis-1.1992733
Mean1506.1069
Median Absolute Deviation (MAD)753
Skewness0.00062516103
Sum4534888
Variance756066.08
MonotonicityStrictly increasing
2023-12-13T07:50:11.924674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2013 1
 
< 0.1%
2004 1
 
< 0.1%
2005 1
 
< 0.1%
2006 1
 
< 0.1%
2007 1
 
< 0.1%
2008 1
 
< 0.1%
2009 1
 
< 0.1%
2010 1
 
< 0.1%
2011 1
 
< 0.1%
Other values (3001) 3001
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3013 1
< 0.1%
3012 1
< 0.1%
3011 1
< 0.1%
3010 1
< 0.1%
3009 1
< 0.1%
3008 1
< 0.1%
3007 1
< 0.1%
3006 1
< 0.1%
3005 1
< 0.1%
3004 1
< 0.1%

상호
Text

Distinct2958
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size23.7 KiB
2023-12-13T07:50:12.233890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length5.9847227
Min length1

Characters and Unicode

Total characters18020
Distinct characters781
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2907 ?
Unique (%)96.5%

Sample

1st row청진영어조합법인
2nd row행복해유통
3rd row크로커다일레이디
4th row휠라키즈
5th rowK2 보령점
ValueCountFrequency (%)
보령점 39
 
1.1%
cu 30
 
0.9%
gs25 28
 
0.8%
이마트24 18
 
0.5%
대천점 14
 
0.4%
세븐일레븐 14
 
0.4%
주식회사 9
 
0.3%
보령동대점 6
 
0.2%
대천농협 5
 
0.1%
동대점 5
 
0.1%
Other values (3112) 3266
95.1%
2023-12-13T07:50:12.753569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
 
2.4%
점 417
 
2.3%
보 396
 
2.2%
대 391
 
2.2%
령 341
 
1.9%
이 295
 
1.6%
수 294
 
1.6%
천 292
 
1.6%
산 263
 
1.5%
스 239
 
1.3%
Other values (771) 14667
81.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16899
93.8%
Space Separator 425
 
2.4%
Decimal Number 259
 
1.4%
Uppercase Letter 242
 
1.3%
Close Punctuation 54
 
0.3%
Open Punctuation 54
 
0.3%
Lowercase Letter 38
 
0.2%
Other Punctuation 29
 
0.2%
Other Symbol 20
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 417
 
2.5%
보 396
 
2.3%
대 391
 
2.3%
령 341
 
2.0%
이 295
 
1.7%
수 294
 
1.7%
천 292
 
1.7%
산 263
 
1.6%
스 239
 
1.4%
원 225
 
1.3%
Other values (709) 13746
81.3%
Uppercase Letter
ValueCountFrequency (%)
C 46
19.0%
S 38
15.7%
U 35
14.5%
G 34
14.0%
L 11
 
4.5%
P 10
 
4.1%
B 7
 
2.9%
F 6
 
2.5%
M 6
 
2.5%
A 5
 
2.1%
Other values (14) 44
18.2%
Lowercase Letter
ValueCountFrequency (%)
e 5
13.2%
r 4
10.5%
o 3
 
7.9%
a 3
 
7.9%
s 3
 
7.9%
n 3
 
7.9%
g 3
 
7.9%
h 2
 
5.3%
t 2
 
5.3%
i 2
 
5.3%
Other values (8) 8
21.1%
Decimal Number
ValueCountFrequency (%)
2 97
37.5%
5 47
18.1%
4 42
16.2%
1 24
 
9.3%
0 15
 
5.8%
8 10
 
3.9%
3 10
 
3.9%
9 9
 
3.5%
6 3
 
1.2%
7 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 12
41.4%
, 9
31.0%
. 5
17.2%
' 1
 
3.4%
/ 1
 
3.4%
# 1
 
3.4%
Space Separator
ValueCountFrequency (%)
425
100.0%
Close Punctuation
ValueCountFrequency (%)
) 54
100.0%
Open Punctuation
ValueCountFrequency (%)
( 54
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16919
93.9%
Common 821
 
4.6%
Latin 280
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 417
 
2.5%
보 396
 
2.3%
대 391
 
2.3%
령 341
 
2.0%
이 295
 
1.7%
수 294
 
1.7%
천 292
 
1.7%
산 263
 
1.6%
스 239
 
1.4%
원 225
 
1.3%
Other values (710) 13766
81.4%
Latin
ValueCountFrequency (%)
C 46
16.4%
S 38
13.6%
U 35
12.5%
G 34
12.1%
L 11
 
3.9%
P 10
 
3.6%
B 7
 
2.5%
F 6
 
2.1%
M 6
 
2.1%
A 5
 
1.8%
Other values (32) 82
29.3%
Common
ValueCountFrequency (%)
425
51.8%
2 97
 
11.8%
) 54
 
6.6%
( 54
 
6.6%
5 47
 
5.7%
4 42
 
5.1%
1 24
 
2.9%
0 15
 
1.8%
& 12
 
1.5%
8 10
 
1.2%
Other values (9) 41
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16899
93.8%
ASCII 1101
 
6.1%
None 20
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
38.6%
2 97
 
8.8%
) 54
 
4.9%
( 54
 
4.9%
5 47
 
4.3%
C 46
 
4.2%
4 42
 
3.8%
S 38
 
3.5%
U 35
 
3.2%
G 34
 
3.1%
Other values (51) 229
20.8%
Hangul
ValueCountFrequency (%)
점 417
 
2.5%
보 396
 
2.3%
대 391
 
2.3%
령 341
 
2.0%
이 295
 
1.7%
수 294
 
1.7%
천 292
 
1.7%
산 263
 
1.6%
스 239
 
1.4%
원 225
 
1.3%
Other values (709) 13746
81.3%
None
ValueCountFrequency (%)
㈜ 20
100.0%

소재지
Text

Distinct2492
Distinct (%)82.8%
Missing0
Missing (%)0.0%
Memory size23.7 KiB
2023-12-13T07:50:13.086730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length39
Mean length19.143142
Min length13

Characters and Unicode

Total characters57640
Distinct characters267
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

Unique2142 ?
Unique (%)71.1%

Sample

1st row충청남도 보령시 남포면 월전로 26
2nd row충청남도 보령시 터미널길 8, 108호
3rd row충청남도 보령시 중앙로 89
4th row충청남도 보령시 남대천로 28
5th row충청남도 보령시 남대천로 39
ValueCountFrequency (%)
충청남도 3011
23.2%
보령시 2979
22.9%
웅천읍 213
 
1.6%
중앙로 166
 
1.3%
대흥로 124
 
1.0%
주공로 104
 
0.8%
대천항로 99
 
0.8%
남대천로 90
 
0.7%
남포면 81
 
0.6%
대천로 80
 
0.6%
Other values (1505) 6051
46.6%
2023-12-13T07:50:13.690008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10991
19.1%
남 3279
 
5.7%
청 3175
 
5.5%
시 3170
 
5.5%
보 3160
 
5.5%
령 3118
 
5.4%
충 3095
 
5.4%
도 3025
 
5.2%
1 1898
 
3.3%
로 1641
 
2.8%
Other values (257) 21088
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36221
62.8%
Space Separator 10991
 
19.1%
Decimal Number 8746
 
15.2%
Dash Punctuation 542
 
0.9%
Close Punctuation 440
 
0.8%
Open Punctuation 440
 
0.8%
Other Punctuation 243
 
0.4%
Uppercase Letter 11
 
< 0.1%
Lowercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 3279
 
9.1%
청 3175
 
8.8%
시 3170
 
8.8%
보 3160
 
8.7%
령 3118
 
8.6%
충 3095
 
8.5%
도 3025
 
8.4%
로 1641
 
4.5%
길 1404
 
3.9%
대 975
 
2.7%
Other values (231) 10179
28.1%
Decimal Number
ValueCountFrequency (%)
1 1898
21.7%
2 1151
13.2%
3 1085
12.4%
4 877
10.0%
6 732
 
8.4%
5 678
 
7.8%
8 607
 
6.9%
0 583
 
6.7%
7 572
 
6.5%
9 563
 
6.4%
Uppercase Letter
ValueCountFrequency (%)
A 3
27.3%
B 2
18.2%
D 2
18.2%
C 2
18.2%
S 1
 
9.1%
K 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 240
98.8%
/ 2
 
0.8%
@ 1
 
0.4%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
k 2
33.3%
e 2
33.3%
Space Separator
ValueCountFrequency (%)
10991
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 542
100.0%
Close Punctuation
ValueCountFrequency (%)
) 440
100.0%
Open Punctuation
ValueCountFrequency (%)
( 440
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36221
62.8%
Common 21402
37.1%
Latin 17
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 3279
 
9.1%
청 3175
 
8.8%
시 3170
 
8.8%
보 3160
 
8.7%
령 3118
 
8.6%
충 3095
 
8.5%
도 3025
 
8.4%
로 1641
 
4.5%
길 1404
 
3.9%
대 975
 
2.7%
Other values (231) 10179
28.1%
Common
ValueCountFrequency (%)
10991
51.4%
1 1898
 
8.9%
2 1151
 
5.4%
3 1085
 
5.1%
4 877
 
4.1%
6 732
 
3.4%
5 678
 
3.2%
8 607
 
2.8%
0 583
 
2.7%
7 572
 
2.7%
Other values (7) 2228
 
10.4%
Latin
ValueCountFrequency (%)
A 3
17.6%
s 2
11.8%
B 2
11.8%
k 2
11.8%
e 2
11.8%
D 2
11.8%
C 2
11.8%
S 1
 
5.9%
K 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36221
62.8%
ASCII 21419
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10991
51.3%
1 1898
 
8.9%
2 1151
 
5.4%
3 1085
 
5.1%
4 877
 
4.1%
6 732
 
3.4%
5 678
 
3.2%
8 607
 
2.8%
0 583
 
2.7%
7 572
 
2.7%
Other values (16) 2245
 
10.5%
Hangul
ValueCountFrequency (%)
남 3279
 
9.1%
청 3175
 
8.8%
시 3170
 
8.8%
보 3160
 
8.7%
령 3118
 
8.6%
충 3095
 
8.5%
도 3025
 
8.4%
로 1641
 
4.5%
길 1404
 
3.9%
대 975
 
2.7%
Other values (231) 10179
28.1%

사업장전화번호
Text

MISSING 

Distinct2257
Distinct (%)96.6%
Missing675
Missing (%)22.4%
Memory size23.7 KiB
2023-12-13T07:50:13.957430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.015839
Min length12

Characters and Unicode

Total characters28069
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

Unique2182 ?
Unique (%)93.4%

Sample

1st row041-935-7600
2nd row070-7755-4950
3rd row041-935-1750
4th row041-936-0703
5th row041-931-9211
ValueCountFrequency (%)
041-933-0009 4
 
0.2%
041-936-1283 3
 
0.1%
02-6916-1500 3
 
0.1%
041-936-4277 2
 
0.1%
041-935-8818 2
 
0.1%
041-931-5678 2
 
0.1%
041-932-7328 2
 
0.1%
041-935-5040 2
 
0.1%
041-935-1202 2
 
0.1%
041-931-7474 2
 
0.1%
Other values (2247) 2312
99.0%
2023-12-13T07:50:14.346491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 4672
16.6%
1 3704
13.2%
3 3547
12.6%
0 3527
12.6%
4 3522
12.5%
9 3112
11.1%
5 1466
 
5.2%
2 1396
 
5.0%
6 1168
 
4.2%
8 996
 
3.5%
Other values (2) 959
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23391
83.3%
Dash Punctuation 4672
 
16.6%
Space Separator 6
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 3704
15.8%
3 3547
15.2%
0 3527
15.1%
4 3522
15.1%
9 3112
13.3%
5 1466
 
6.3%
2 1396
 
6.0%
6 1168
 
5.0%
8 996
 
4.3%
7 953
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 4672
100.0%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28069
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 4672
16.6%
1 3704
13.2%
3 3547
12.6%
0 3527
12.6%
4 3522
12.5%
9 3112
11.1%
5 1466
 
5.2%
2 1396
 
5.0%
6 1168
 
4.2%
8 996
 
3.5%
Other values (2) 959
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28069
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 4672
16.6%
1 3704
13.2%
3 3547
12.6%
0 3527
12.6%
4 3522
12.5%
9 3112
11.1%
5 1466
 
5.2%
2 1396
 
5.0%
6 1168
 
4.2%
8 996
 
3.5%
Other values (2) 959
 
3.4%

행정동
Categorical

Distinct18
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size23.7 KiB
대천3동
655 
대천1동
615 
대천2동
389 
대천5동
364 
대천4동
280 
Other values (13)
708 

Length

Max length5
Median length4
Mean length3.7655264
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row남포면
2nd row대천4동
3rd row대천2동
4th row대천2동
5th row대천1동

Common Values

ValueCountFrequency (%)
대천3동 655
21.8%
대천1동 615
20.4%
대천2동 389
12.9%
대천5동 364
12.1%
대천4동 280
9.3%
웅천읍 214
 
7.1%
남포면 81
 
2.7%
천북면 60
 
2.0%
대천동 59
 
2.0%
성주면 58
 
1.9%
Other values (8) 236
 
7.8%

Length

2023-12-13T07:50:14.486675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대천3동 655
21.8%
대천1동 615
20.4%
대천2동 389
12.9%
대천5동 365
12.1%
대천4동 280
9.3%
웅천읍 214
 
7.1%
남포면 81
 
2.7%
천북면 60
 
2.0%
대천동 59
 
2.0%
성주면 58
 
1.9%
Other values (7) 235
 
7.8%

업종
Text

Distinct702
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size23.7 KiB
2023-12-13T07:50:14.776313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length17
Mean length4.2514115
Min length1

Characters and Unicode

Total characters12801
Distinct characters285
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

Unique488 ?
Unique (%)16.2%

Sample

1st row도소매
2nd row도소매
3rd row의류
4th row의류
5th row의류
ValueCountFrequency (%)
음식점 455
 
13.8%
소매업 295
 
9.0%
음식점업 239
 
7.3%
소매 114
 
3.5%
편의점 96
 
2.9%
개인서비스업 92
 
2.8%
의류 62
 
1.9%
음식 51
 
1.6%
미용실 48
 
1.5%
도소매 47
 
1.4%
Other values (635) 1789
54.4%
2023-12-13T07:50:15.187736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1256
 
9.8%
식 1087
 
8.5%
음 936
 
7.3%
소 924
 
7.2%
매 924
 
7.2%
점 892
 
7.0%
/ 510
 
4.0%
스 299
 
2.3%
비 279
 
2.2%
278
 
2.2%
Other values (275) 5416
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11723
91.6%
Other Punctuation 759
 
5.9%
Space Separator 278
 
2.2%
Uppercase Letter 29
 
0.2%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1256
 
10.7%
식 1087
 
9.3%
음 936
 
8.0%
소 924
 
7.9%
매 924
 
7.9%
점 892
 
7.6%
스 299
 
2.6%
비 279
 
2.4%
도 265
 
2.3%
서 265
 
2.3%
Other values (265) 4596
39.2%
Uppercase Letter
ValueCountFrequency (%)
P 11
37.9%
G 7
24.1%
L 7
24.1%
C 4
 
13.8%
Other Punctuation
ValueCountFrequency (%)
/ 510
67.2%
, 246
32.4%
. 3
 
0.4%
Space Separator
ValueCountFrequency (%)
278
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11723
91.6%
Common 1049
 
8.2%
Latin 29
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1256
 
10.7%
식 1087
 
9.3%
음 936
 
8.0%
소 924
 
7.9%
매 924
 
7.9%
점 892
 
7.6%
스 299
 
2.6%
비 279
 
2.4%
도 265
 
2.3%
서 265
 
2.3%
Other values (265) 4596
39.2%
Common
ValueCountFrequency (%)
/ 510
48.6%
278
26.5%
, 246
23.5%
) 6
 
0.6%
( 6
 
0.6%
. 3
 
0.3%
Latin
ValueCountFrequency (%)
P 11
37.9%
G 7
24.1%
L 7
24.1%
C 4
 
13.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11723
91.6%
ASCII 1078
 
8.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1256
 
10.7%
식 1087
 
9.3%
음 936
 
8.0%
소 924
 
7.9%
매 924
 
7.9%
점 892
 
7.6%
스 299
 
2.6%
비 279
 
2.4%
도 265
 
2.3%
서 265
 
2.3%
Other values (265) 4596
39.2%
ASCII
ValueCountFrequency (%)
/ 510
47.3%
278
25.8%
, 246
22.8%
P 11
 
1.0%
G 7
 
0.6%
L 7
 
0.6%
) 6
 
0.6%
( 6
 
0.6%
C 4
 
0.4%
. 3
 
0.3%

Interactions

2023-12-13T07:50:11.232224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:50:15.281282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.525
행정동0.5251.000
2023-12-13T07:50:15.386832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동
연번1.0000.231
행정동0.2311.000

Missing values

2023-12-13T07:50:11.402759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:50:11.520171image/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

연번상호소재지사업장전화번호행정동업종
01청진영어조합법인충청남도 보령시 남포면 월전로 26041-935-7600남포면도소매
12행복해유통충청남도 보령시 터미널길 8, 108호070-7755-4950대천4동도소매
23크로커다일레이디충청남도 보령시 중앙로 89041-935-1750대천2동의류
34휠라키즈충청남도 보령시 남대천로 28041-936-0703대천2동의류
45K2 보령점충청남도 보령시 남대천로 39041-931-9211대천1동의류
56모이몰른충청남도 보령시 중앙로 96070-7856-5880대천2동유아용품
67주크충청남도 보령시 중앙로 102041-935-1462대천2동의류
78일공공일안경콘택트충청남도 보령시 중앙로 102041-935-1982대천2동안경
89미샤충청남도 보령시 중앙로 99041-935-1240대천2동화장품
910에스쏠레지아보령점충청남도 보령시 남대천로 26041-935-9339대천2동여성캐주얼
연번상호소재지사업장전화번호행정동업종
30013004효자보신원충청남도 보령시 중촌길 22(대천동)<NA>대천2동음식점업
30023005제이헤어콜충청남도 보령시 중앙로 125(대천동)041-935-0345대천2동개인서비스업
30033006에넥스대천점충청남도 보령시 보령북로 96(대천동)041-936-8290대천2동소매업
30043007네이처컬렉션충청남도 보령시 중앙로 73(대천동)<NA>대천1동소매업
30053008씨유동대빌리지점충청남도 보령시 신설3길 24-2(동대동)<NA>대천3동소매업
30063009삼선횟집충청남도 보령시 신설1길 89(동대동)041-936-7869대천3동음식점업
30073010두리유통충청남도 보령시 성주면 성주산로 699041-936-0173성주면소매업
30083011우리미용실충청남도 보령시 대흥로 83(대천동)<NA>대천2동개인서비스업
30093012머드스크린골프충청남도 보령시 보령북로 95(대천동)041-932-2225대천2동스포츠여가관련서비스업
30103013문도노보충청남도 보령시 대해로 110-10(궁촌동)<NA>대천4동음식점업