Overview

Dataset statistics

Number of variables6
Number of observations395
Missing cells132
Missing cells (%)5.6%
Duplicate rows2
Duplicate rows (%)0.5%
Total size in memory18.6 KiB
Average record size in memory48.3 B

Variable types

Text4
Categorical2

Dataset

Description전주시 인쇄소 현황(사업체명칭, 사업체소재지, 전화번호, 영업상태, 업종)등을 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=6&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15042109

Alerts

업종 has constant value ""Constant
자료기준일 has constant value ""Constant
Dataset has 2 (0.5%) duplicate rowsDuplicates
전화번호 has 127 (32.2%) missing valuesMissing

Reproduction

Analysis started2024-03-14 02:48:05.199595
Analysis finished2024-03-14 02:48:05.989836
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업체명칭
Text

Distinct392
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T11:48:06.115301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length6.235443
Min length1

Characters and Unicode

Total characters2463
Distinct characters346
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

Unique389 ?
Unique (%)98.5%

Sample

1st row전북신문사(주)
2nd row범우사인쇄소
3rd row샛별인쇄사
4th row화성인쇄사
5th row대명인쇄사
ValueCountFrequency (%)
주식회사 26
 
5.3%
유한회사 13
 
2.6%
디자인 11
 
2.2%
도서출판 8
 
1.6%
주 4
 
0.8%
정진문화사 2
 
0.4%
플러스 2
 
0.4%
유 2
 
0.4%
성도애드기획 2
 
0.4%
애드스마일 2
 
0.4%
Other values (418) 423
85.5%
2024-03-14T11:48:06.420357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 167
 
6.8%
사 129
 
5.2%
100
 
4.1%
쇄 84
 
3.4%
주 70
 
2.8%
디 65
 
2.6%
) 55
 
2.2%
자 55
 
2.2%
( 53
 
2.2%
기 49
 
2.0%
Other values (336) 1636
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2178
88.4%
Space Separator 100
 
4.1%
Close Punctuation 55
 
2.2%
Open Punctuation 53
 
2.2%
Uppercase Letter 37
 
1.5%
Lowercase Letter 23
 
0.9%
Other Punctuation 9
 
0.4%
Decimal Number 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 167
 
7.7%
사 129
 
5.9%
쇄 84
 
3.9%
주 70
 
3.2%
디 65
 
3.0%
자 55
 
2.5%
기 49
 
2.2%
획 47
 
2.2%
회 47
 
2.2%
스 36
 
1.7%
Other values (294) 1429
65.6%
Uppercase Letter
ValueCountFrequency (%)
C 6
16.2%
K 5
13.5%
I 3
8.1%
D 3
8.1%
G 3
8.1%
J 2
 
5.4%
P 2
 
5.4%
A 2
 
5.4%
M 2
 
5.4%
R 2
 
5.4%
Other values (7) 7
18.9%
Lowercase Letter
ValueCountFrequency (%)
s 3
13.0%
t 2
 
8.7%
e 2
 
8.7%
g 2
 
8.7%
o 2
 
8.7%
i 2
 
8.7%
d 2
 
8.7%
a 1
 
4.3%
y 1
 
4.3%
m 1
 
4.3%
Other values (5) 5
21.7%
Other Punctuation
ValueCountFrequency (%)
& 5
55.6%
. 2
 
22.2%
, 2
 
22.2%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
1 3
42.9%
9 1
 
14.3%
Space Separator
ValueCountFrequency (%)
100
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 53
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2178
88.4%
Common 225
 
9.1%
Latin 60
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 167
 
7.7%
사 129
 
5.9%
쇄 84
 
3.9%
주 70
 
3.2%
디 65
 
3.0%
자 55
 
2.5%
기 49
 
2.2%
획 47
 
2.2%
회 47
 
2.2%
스 36
 
1.7%
Other values (294) 1429
65.6%
Latin
ValueCountFrequency (%)
C 6
 
10.0%
K 5
 
8.3%
I 3
 
5.0%
D 3
 
5.0%
s 3
 
5.0%
G 3
 
5.0%
J 2
 
3.3%
P 2
 
3.3%
t 2
 
3.3%
e 2
 
3.3%
Other values (22) 29
48.3%
Common
ValueCountFrequency (%)
100
44.4%
) 55
24.4%
( 53
23.6%
& 5
 
2.2%
2 3
 
1.3%
1 3
 
1.3%
. 2
 
0.9%
, 2
 
0.9%
9 1
 
0.4%
- 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2178
88.4%
ASCII 285
 
11.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 167
 
7.7%
사 129
 
5.9%
쇄 84
 
3.9%
주 70
 
3.2%
디 65
 
3.0%
자 55
 
2.5%
기 49
 
2.2%
획 47
 
2.2%
회 47
 
2.2%
스 36
 
1.7%
Other values (294) 1429
65.6%
ASCII
ValueCountFrequency (%)
100
35.1%
) 55
19.3%
( 53
18.6%
C 6
 
2.1%
& 5
 
1.8%
K 5
 
1.8%
2 3
 
1.1%
1 3
 
1.1%
I 3
 
1.1%
D 3
 
1.1%
Other values (32) 49
17.2%

사업체소재지(도로명)
Text

Distinct372
Distinct (%)94.9%
Missing3
Missing (%)0.8%
Memory size3.2 KiB
2024-03-14T11:48:06.774680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length58
Median length52
Mean length34.571429
Min length27

Characters and Unicode

Total characters13552
Distinct characters225
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

Unique356 ?
Unique (%)90.8%

Sample

1st row전북특별자치도 전주시 덕진구 기린대로 418 (금암동)
2nd row전북특별자치도 전주시 완산구 전동성당길 31 (경원동2가)
3rd row전북특별자치도 전주시 완산구 공북3길 24 (태평동)
4th row전북특별자치도 전주시 완산구 물왕멀로 18 (중노송동)
5th row전북특별자치도 전주시 완산구 공북5길 10-5 (태평동)
ValueCountFrequency (%)
전북특별자치도 392
 
15.3%
전주시 392
 
15.3%
완산구 225
 
8.8%
덕진구 167
 
6.5%
1층 55
 
2.1%
인후동1가 39
 
1.5%
금암동 36
 
1.4%
경원동3가 35
 
1.4%
2층 29
 
1.1%
중화산동2가 29
 
1.1%
Other values (569) 1168
45.5%
2024-03-14T11:48:07.137367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2277
 
16.8%
전 841
 
6.2%
자 445
 
3.3%
1 440
 
3.2%
북 428
 
3.2%
동 421
 
3.1%
주 415
 
3.1%
도 396
 
2.9%
) 395
 
2.9%
( 395
 
2.9%
Other values (215) 7099
52.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8423
62.2%
Space Separator 2277
 
16.8%
Decimal Number 1750
 
12.9%
Close Punctuation 395
 
2.9%
Open Punctuation 395
 
2.9%
Other Punctuation 175
 
1.3%
Dash Punctuation 132
 
1.0%
Uppercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 841
 
10.0%
자 445
 
5.3%
북 428
 
5.1%
동 421
 
5.0%
주 415
 
4.9%
도 396
 
4.7%
구 394
 
4.7%
별 393
 
4.7%
치 393
 
4.7%
특 393
 
4.7%
Other values (195) 3904
46.3%
Decimal Number
ValueCountFrequency (%)
1 440
25.1%
2 331
18.9%
3 277
15.8%
4 156
 
8.9%
5 137
 
7.8%
0 120
 
6.9%
6 93
 
5.3%
7 72
 
4.1%
8 64
 
3.7%
9 60
 
3.4%
Uppercase Letter
ValueCountFrequency (%)
I 1
25.0%
A 1
25.0%
B 1
25.0%
T 1
25.0%
Space Separator
ValueCountFrequency (%)
2277
100.0%
Close Punctuation
ValueCountFrequency (%)
) 395
100.0%
Open Punctuation
ValueCountFrequency (%)
( 395
100.0%
Other Punctuation
ValueCountFrequency (%)
, 175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 132
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8423
62.2%
Common 5125
37.8%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 841
 
10.0%
자 445
 
5.3%
북 428
 
5.1%
동 421
 
5.0%
주 415
 
4.9%
도 396
 
4.7%
구 394
 
4.7%
별 393
 
4.7%
치 393
 
4.7%
특 393
 
4.7%
Other values (195) 3904
46.3%
Common
ValueCountFrequency (%)
2277
44.4%
1 440
 
8.6%
) 395
 
7.7%
( 395
 
7.7%
2 331
 
6.5%
3 277
 
5.4%
, 175
 
3.4%
4 156
 
3.0%
5 137
 
2.7%
- 132
 
2.6%
Other values (6) 410
 
8.0%
Latin
ValueCountFrequency (%)
I 1
25.0%
A 1
25.0%
B 1
25.0%
T 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8423
62.2%
ASCII 5129
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2277
44.4%
1 440
 
8.6%
) 395
 
7.7%
( 395
 
7.7%
2 331
 
6.5%
3 277
 
5.4%
, 175
 
3.4%
4 156
 
3.0%
5 137
 
2.7%
- 132
 
2.6%
Other values (10) 414
 
8.1%
Hangul
ValueCountFrequency (%)
전 841
 
10.0%
자 445
 
5.3%
북 428
 
5.1%
동 421
 
5.0%
주 415
 
4.9%
도 396
 
4.7%
구 394
 
4.7%
별 393
 
4.7%
치 393
 
4.7%
특 393
 
4.7%
Other values (195) 3904
46.3%

사업체소재지(지번)
Text

Distinct347
Distinct (%)88.3%
Missing2
Missing (%)0.5%
Memory size3.2 KiB
2024-03-14T11:48:07.360835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length41
Mean length28.348601
Min length22

Characters and Unicode

Total characters11141
Distinct characters138
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

Unique313 ?
Unique (%)79.6%

Sample

1st row전북특별자치도 전주시 덕진구 금암동 710-5
2nd row전북특별자치도 전주시 완산구 경원동2가 40-50
3rd row전북특별자치도 전주시 완산구 태평동 1-70
4th row전북특별자치도 전주시 완산구 중노송동 580-59
5th row전북특별자치도 전주시 완산구 태평동 4-11
ValueCountFrequency (%)
전북특별자치도 393
19.3%
전주시 393
19.3%
완산구 223
 
11.0%
덕진구 170
 
8.4%
인후동1가 42
 
2.1%
금암동 39
 
1.9%
경원동3가 35
 
1.7%
중화산동2가 28
 
1.4%
효자동3가 25
 
1.2%
진북동 20
 
1.0%
Other values (428) 666
32.7%
2024-03-14T11:48:07.697536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2020
 
18.1%
전 798
 
7.2%
자 443
 
4.0%
북 418
 
3.8%
동 398
 
3.6%
주 395
 
3.5%
1 394
 
3.5%
도 394
 
3.5%
치 394
 
3.5%
별 394
 
3.5%
Other values (128) 5093
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6811
61.1%
Space Separator 2020
 
18.1%
Decimal Number 1950
 
17.5%
Dash Punctuation 351
 
3.2%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 798
 
11.7%
자 443
 
6.5%
북 418
 
6.1%
동 398
 
5.8%
주 395
 
5.8%
도 394
 
5.8%
치 394
 
5.8%
별 394
 
5.8%
특 394
 
5.8%
구 393
 
5.8%
Other values (111) 2390
35.1%
Decimal Number
ValueCountFrequency (%)
1 394
20.2%
2 281
14.4%
3 261
13.4%
4 188
9.6%
5 186
9.5%
8 154
 
7.9%
7 152
 
7.8%
6 128
 
6.6%
0 115
 
5.9%
9 91
 
4.7%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
A 1
33.3%
Space Separator
ValueCountFrequency (%)
2020
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 351
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6811
61.1%
Common 4327
38.8%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 798
 
11.7%
자 443
 
6.5%
북 418
 
6.1%
동 398
 
5.8%
주 395
 
5.8%
도 394
 
5.8%
치 394
 
5.8%
별 394
 
5.8%
특 394
 
5.8%
구 393
 
5.8%
Other values (111) 2390
35.1%
Common
ValueCountFrequency (%)
2020
46.7%
1 394
 
9.1%
- 351
 
8.1%
2 281
 
6.5%
3 261
 
6.0%
4 188
 
4.3%
5 186
 
4.3%
8 154
 
3.6%
7 152
 
3.5%
6 128
 
3.0%
Other values (4) 212
 
4.9%
Latin
ValueCountFrequency (%)
I 1
33.3%
T 1
33.3%
A 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6811
61.1%
ASCII 4330
38.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2020
46.7%
1 394
 
9.1%
- 351
 
8.1%
2 281
 
6.5%
3 261
 
6.0%
4 188
 
4.3%
5 186
 
4.3%
8 154
 
3.6%
7 152
 
3.5%
6 128
 
3.0%
Other values (7) 215
 
5.0%
Hangul
ValueCountFrequency (%)
전 798
 
11.7%
자 443
 
6.5%
북 418
 
6.1%
동 398
 
5.8%
주 395
 
5.8%
도 394
 
5.8%
치 394
 
5.8%
별 394
 
5.8%
특 394
 
5.8%
구 393
 
5.8%
Other values (111) 2390
35.1%

전화번호
Text

MISSING 

Distinct262
Distinct (%)97.8%
Missing127
Missing (%)32.2%
Memory size3.2 KiB
2024-03-14T11:48:07.949517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.992537
Min length9

Characters and Unicode

Total characters3214
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique256 ?
Unique (%)95.5%

Sample

1st row063-284-4262
2nd row063-275-6474
3rd row063-284-2257
4th row063-253-1926
5th row063-252-3839
ValueCountFrequency (%)
063-244-1097 2
 
0.7%
063-232-1005 2
 
0.7%
063-288-3605 2
 
0.7%
063-245-6988 2
 
0.7%
063-284-1325 2
 
0.7%
063-278-5977 2
 
0.7%
063-272-8544 1
 
0.4%
063-226-6828 1
 
0.4%
063-274-8254 1
 
0.4%
063-287-9810 1
 
0.4%
Other values (252) 252
94.0%
2024-03-14T11:48:08.289201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 534
16.6%
0 444
13.8%
2 431
13.4%
3 414
12.9%
6 374
11.6%
8 194
 
6.0%
5 188
 
5.8%
4 178
 
5.5%
7 178
 
5.5%
1 171
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2680
83.4%
Dash Punctuation 534
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 444
16.6%
2 431
16.1%
3 414
15.4%
6 374
14.0%
8 194
7.2%
5 188
7.0%
4 178
6.6%
7 178
6.6%
1 171
 
6.4%
9 108
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 534
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3214
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 534
16.6%
0 444
13.8%
2 431
13.4%
3 414
12.9%
6 374
11.6%
8 194
 
6.0%
5 188
 
5.8%
4 178
 
5.5%
7 178
 
5.5%
1 171
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3214
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 534
16.6%
0 444
13.8%
2 431
13.4%
3 414
12.9%
6 374
11.6%
8 194
 
6.0%
5 188
 
5.8%
4 178
 
5.5%
7 178
 
5.5%
1 171
 
5.3%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
인쇄사
395 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
인쇄사 395
100.0%

Length

2024-03-14T11:48:08.392417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:48:08.462263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인쇄사 395
100.0%

자료기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-01-12
395 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-12
2nd row2024-01-12
3rd row2024-01-12
4th row2024-01-12
5th row2024-01-12

Common Values

ValueCountFrequency (%)
2024-01-12 395
100.0%

Length

2024-03-14T11:48:08.532258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T11:48:08.611102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-12 395
100.0%

Missing values

2024-03-14T11:48:05.545776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T11:48:05.663775image/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.
2024-03-14T11:48:05.945060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

사업체명칭사업체소재지(도로명)사업체소재지(지번)전화번호업종자료기준일
0전북신문사(주)전북특별자치도 전주시 덕진구 기린대로 418 (금암동)전북특별자치도 전주시 덕진구 금암동 710-5<NA>인쇄사2024-01-12
1범우사인쇄소전북특별자치도 전주시 완산구 전동성당길 31 (경원동2가)전북특별자치도 전주시 완산구 경원동2가 40-50063-284-4262인쇄사2024-01-12
2샛별인쇄사전북특별자치도 전주시 완산구 공북3길 24 (태평동)전북특별자치도 전주시 완산구 태평동 1-70063-275-6474인쇄사2024-01-12
3화성인쇄사전북특별자치도 전주시 완산구 물왕멀로 18 (중노송동)전북특별자치도 전주시 완산구 중노송동 580-59063-284-2257인쇄사2024-01-12
4대명인쇄사전북특별자치도 전주시 완산구 공북5길 10-5 (태평동)전북특별자치도 전주시 완산구 태평동 4-11063-253-1926인쇄사2024-01-12
5영진인쇄소전북특별자치도 전주시 덕진구 기린대로 367 (금암동)전북특별자치도 전주시 덕진구 금암동 462-4063-252-3839인쇄사2024-01-12
6대창인쇄소전북특별자치도 전주시 완산구 전주객사4길 43-13 (고사동)전북특별자치도 전주시 완산구 고사동 400-3063-284-5837인쇄사2024-01-12
7청타센터공익사전북특별자치도 전주시 덕진구 용산3길 8 (금암동)전북특별자치도 전주시 덕진구 금암동 474-1063-272-3477인쇄사2024-01-12
8태문사전북특별자치도 전주시 덕진구 삼송5길 14-21, 1층 (금암동)전북특별자치도 전주시 덕진구 금암동 631-323063-284-1325인쇄사2024-01-12
9삼원사전북특별자치도 전주시 완산구 팔달로 104 (전동)전북특별자치도 전주시 완산구 전동 227-3063-288-8809인쇄사2024-01-12
사업체명칭사업체소재지(도로명)사업체소재지(지번)전화번호업종자료기준일
385디자인나무전북특별자치도 전주시 완산구 안행8길 48-7 (삼천동1가)전북특별자치도 전주시 완산구 삼천동1가 746-3<NA>인쇄사2024-01-12
386디자인끌림전북특별자치도 전주시 덕진구 숲정이2길 46-22 (진북동)전북특별자치도 전주시 덕진구 진북동 1142-3063-232-3365인쇄사2024-01-12
387테디그룹 주식회사전북특별자치도 전주시 덕진구 기린대로 929, 302호 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 774-4202-1600-0965인쇄사2024-01-12
388주식회사 씨비엔플러스전북특별자치도 전주시 덕진구 기린대로 929, 303호 (팔복동2가)전북특별자치도 전주시 덕진구 팔복동2가 774-42063-710-7777인쇄사2024-01-12
389디자인충전소전북특별자치도 전주시 덕진구 구렛들3길 53 (팔복동4가)전북특별자치도 전주시 덕진구 팔복동4가 247-1<NA>인쇄사2024-01-12
390함께그리는꿈사회적협동조합전북특별자치도 전주시 완산구 문화광장로 28, 3층 (서노송동)전북특별자치도 전주시 완산구 서노송동 602-24063-232-3308인쇄사2024-01-12
391지니어스전북특별자치도 전주시 덕진구 만성북로 51-25, 스페이스온 지식산업센터 4111호 (만성동)전북특별자치도 전주시 덕진구 만성동 1345-3 스페이스온 지식산업센터063-255-6749인쇄사2024-01-12
392유한회사 센텀디자인랩전북특별자치도 전주시 완산구 모악로 4746, 1층 104호 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 736-3 104호063-228-1003인쇄사2024-01-12
393정민애드컴전북특별자치도 전주시 덕진구 기린대로 364-157 (금암동)전북특별자치도 전주시 덕진구 금암동 480-19063-253-4207인쇄사2024-01-12
394주식회사 타바바전북특별자치도 전주시 덕진구 가리내로 132, 4층 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1440-28063-229-7675인쇄사2024-01-12

Duplicate rows

Most frequently occurring

사업체명칭사업체소재지(도로명)사업체소재지(지번)전화번호업종자료기준일# duplicates
0정진문화사전북특별자치도 전주시 완산구 한지길 64 (풍남동3가)전북특별자치도 전주시 완산구 풍남동3가 33-3063-288-3605인쇄사2024-01-122
1태문사전북특별자치도 전주시 덕진구 삼송5길 14-21, 1층 (금암동)전북특별자치도 전주시 덕진구 금암동 631-323063-284-1325인쇄사2024-01-122