Overview

Dataset statistics

Number of variables7
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory59.5 B

Variable types

Numeric1
Text3
Categorical3

Dataset

Description전주시의 무인민원발급기 현황에 관한 데이터입니다. 발급기 설치장소, 도로명주소, 지번주소, 평일운영시간, 주말운영시간 등의 항목을 제공합니다.
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15127552/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
평일운영시간 is highly overall correlated with 주말운영시간(공휴일포함)High correlation
주말운영시간(공휴일포함) is highly overall correlated with 평일운영시간High correlation
연번 has unique valuesUnique
설치장소 has unique valuesUnique

Reproduction

Analysis started2024-04-13 12:59:00.582319
Analysis finished2024-04-13 12:59:04.188943
Duration3.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size587.0 B
2024-04-13T21:59:04.416216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2024-04-13T21:59:04.858974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
51 1
2.0%
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%

설치장소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-13T21:59:05.625568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length7.254902
Min length4

Characters and Unicode

Total characters370
Distinct characters95
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row전주시청
2nd row전주시청 외부
3rd row완산구청
4th row서곡치안센터
5th rowLH전북지역본부
ValueCountFrequency (%)
외부 5
 
8.5%
내부 3
 
5.1%
전주시청 2
 
3.4%
서신동주민센터 2
 
3.4%
송천1동주민센터 2
 
3.4%
효자5동주민센터 2
 
3.4%
송천2동주민센터 2
 
3.4%
우아1동주민센터 1
 
1.7%
중산신협 1
 
1.7%
호성동주민센터 1
 
1.7%
Other values (38) 38
64.4%
2024-04-13T21:59:06.618995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
9.5%
센 28
 
7.6%
터 28
 
7.6%
민 27
 
7.3%
동 26
 
7.0%
전 12
 
3.2%
9
 
2.4%
부 9
 
2.4%
천 8
 
2.2%
서 8
 
2.2%
Other values (85) 180
48.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 338
91.4%
Decimal Number 20
 
5.4%
Space Separator 9
 
2.4%
Uppercase Letter 2
 
0.5%
Other Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
10.4%
센 28
 
8.3%
터 28
 
8.3%
민 27
 
8.0%
동 26
 
7.7%
전 12
 
3.6%
부 9
 
2.7%
천 8
 
2.4%
서 8
 
2.4%
신 8
 
2.4%
Other values (76) 149
44.1%
Decimal Number
ValueCountFrequency (%)
2 7
35.0%
1 7
35.0%
3 3
15.0%
5 2
 
10.0%
4 1
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 338
91.4%
Common 30
 
8.1%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
10.4%
센 28
 
8.3%
터 28
 
8.3%
민 27
 
8.0%
동 26
 
7.7%
전 12
 
3.6%
부 9
 
2.7%
천 8
 
2.4%
서 8
 
2.4%
신 8
 
2.4%
Other values (76) 149
44.1%
Common
ValueCountFrequency (%)
9
30.0%
2 7
23.3%
1 7
23.3%
3 3
 
10.0%
5 2
 
6.7%
? 1
 
3.3%
4 1
 
3.3%
Latin
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 338
91.4%
ASCII 32
 
8.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
10.4%
센 28
 
8.3%
터 28
 
8.3%
민 27
 
8.0%
동 26
 
7.7%
전 12
 
3.6%
부 9
 
2.7%
천 8
 
2.4%
서 8
 
2.4%
신 8
 
2.4%
Other values (76) 149
44.1%
ASCII
ValueCountFrequency (%)
9
28.1%
2 7
21.9%
1 7
21.9%
3 3
 
9.4%
5 2
 
6.2%
H 1
 
3.1%
L 1
 
3.1%
? 1
 
3.1%
4 1
 
3.1%

도로명주소
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-13T21:59:07.452793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length23.72549
Min length22

Characters and Unicode

Total characters1210
Distinct characters95
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)82.4%

Sample

1st row전북특별자치도 전주시 완산구 노송광장로 10
2nd row전북특별자치도 전주시 완산구 노송광장로 10
3rd row전북특별자치도 전주시 완산구 서원로 232
4th row전북특별자치도 전주시 완산구 세내로 552
5th row전북특별자치도 전주시 완산구 홍산로 158
ValueCountFrequency (%)
전북특별자치도 51
20.0%
전주시 51
20.0%
완산구 27
 
10.6%
덕진구 24
 
9.4%
10 4
 
1.6%
송천중앙로 3
 
1.2%
116 3
 
1.2%
33 3
 
1.2%
온고을로 3
 
1.2%
25 2
 
0.8%
Other values (72) 84
32.9%
2024-04-13T21:59:08.698518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
16.9%
전 105
 
8.7%
구 53
 
4.4%
자 52
 
4.3%
시 51
 
4.2%
주 51
 
4.2%
북 51
 
4.2%
도 51
 
4.2%
별 51
 
4.2%
특 51
 
4.2%
Other values (85) 490
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 852
70.4%
Space Separator 204
 
16.9%
Decimal Number 147
 
12.1%
Dash Punctuation 5
 
0.4%
Other Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 105
 
12.3%
구 53
 
6.2%
자 52
 
6.1%
시 51
 
6.0%
주 51
 
6.0%
북 51
 
6.0%
도 51
 
6.0%
별 51
 
6.0%
특 51
 
6.0%
치 51
 
6.0%
Other values (71) 285
33.5%
Decimal Number
ValueCountFrequency (%)
1 30
20.4%
2 20
13.6%
3 19
12.9%
5 18
12.2%
9 14
9.5%
6 13
8.8%
0 10
 
6.8%
7 9
 
6.1%
4 8
 
5.4%
8 6
 
4.1%
Space Separator
ValueCountFrequency (%)
204
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 852
70.4%
Common 358
29.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 105
 
12.3%
구 53
 
6.2%
자 52
 
6.1%
시 51
 
6.0%
주 51
 
6.0%
북 51
 
6.0%
도 51
 
6.0%
별 51
 
6.0%
특 51
 
6.0%
치 51
 
6.0%
Other values (71) 285
33.5%
Common
ValueCountFrequency (%)
204
57.0%
1 30
 
8.4%
2 20
 
5.6%
3 19
 
5.3%
5 18
 
5.0%
9 14
 
3.9%
6 13
 
3.6%
0 10
 
2.8%
7 9
 
2.5%
4 8
 
2.2%
Other values (4) 13
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 852
70.4%
ASCII 358
29.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
57.0%
1 30
 
8.4%
2 20
 
5.6%
3 19
 
5.3%
5 18
 
5.0%
9 14
 
3.9%
6 13
 
3.6%
0 10
 
2.8%
7 9
 
2.5%
4 8
 
2.2%
Other values (4) 13
 
3.6%
Hangul
ValueCountFrequency (%)
전 105
 
12.3%
구 53
 
6.2%
자 52
 
6.1%
시 51
 
6.0%
주 51
 
6.0%
북 51
 
6.0%
도 51
 
6.0%
별 51
 
6.0%
특 51
 
6.0%
치 51
 
6.0%
Other values (71) 285
33.5%

지번주소
Text

Distinct46
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-13T21:59:09.651935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length28
Mean length26.941176
Min length21

Characters and Unicode

Total characters1374
Distinct characters66
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique42 ?
Unique (%)82.4%

Sample

1st row전북특별자치도 전주시 완산구 서노송동 568-1
2nd row전북특별자치도 전주시 완산구 서노송동 568-1
3rd row전북특별자치도 전주시 완산구 효자동1가 595번지
4th row전북특별자치도 전주시 완산구 효자동3가 1456번지 1호
5th row한국토지주택공사 전북본부 별관동 1층?
ValueCountFrequency (%)
전북특별자치도 50
18.9%
전주시 50
18.9%
완산구 26
 
9.8%
덕진구 24
 
9.1%
효자동3가 6
 
2.3%
송천동1가 4
 
1.5%
효자동2가 4
 
1.5%
삼천동1가 3
 
1.1%
9호 3
 
1.1%
진북동 3
 
1.1%
Other values (75) 91
34.5%
2024-04-13T21:59:10.989827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
 
15.5%
전 102
 
7.4%
자 62
 
4.5%
북 54
 
3.9%
동 51
 
3.7%
별 51
 
3.7%
주 51
 
3.7%
1 51
 
3.7%
특 50
 
3.6%
치 50
 
3.6%
Other values (56) 639
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 895
65.1%
Decimal Number 240
 
17.5%
Space Separator 213
 
15.5%
Dash Punctuation 25
 
1.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 102
 
11.4%
자 62
 
6.9%
북 54
 
6.0%
동 51
 
5.7%
별 51
 
5.7%
주 51
 
5.7%
특 50
 
5.6%
치 50
 
5.6%
도 50
 
5.6%
시 50
 
5.6%
Other values (43) 324
36.2%
Decimal Number
ValueCountFrequency (%)
1 51
21.2%
3 32
13.3%
2 32
13.3%
6 24
10.0%
4 21
8.8%
5 20
 
8.3%
8 17
 
7.1%
7 16
 
6.7%
9 14
 
5.8%
0 13
 
5.4%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 895
65.1%
Common 479
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 102
 
11.4%
자 62
 
6.9%
북 54
 
6.0%
동 51
 
5.7%
별 51
 
5.7%
주 51
 
5.7%
특 50
 
5.6%
치 50
 
5.6%
도 50
 
5.6%
시 50
 
5.6%
Other values (43) 324
36.2%
Common
ValueCountFrequency (%)
213
44.5%
1 51
 
10.6%
3 32
 
6.7%
2 32
 
6.7%
- 25
 
5.2%
6 24
 
5.0%
4 21
 
4.4%
5 20
 
4.2%
8 17
 
3.5%
7 16
 
3.3%
Other values (3) 28
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 895
65.1%
ASCII 479
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
44.5%
1 51
 
10.6%
3 32
 
6.7%
2 32
 
6.7%
- 25
 
5.2%
6 24
 
5.0%
4 21
 
4.4%
5 20
 
4.2%
8 17
 
3.5%
7 16
 
3.3%
Other values (3) 28
 
5.8%
Hangul
ValueCountFrequency (%)
전 102
 
11.4%
자 62
 
6.9%
북 54
 
6.0%
동 51
 
5.7%
별 51
 
5.7%
주 51
 
5.7%
특 50
 
5.6%
치 50
 
5.6%
도 50
 
5.6%
시 50
 
5.6%
Other values (43) 324
36.2%

평일운영시간
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Memory size536.0 B
00:00~24:00
26 
09:00~18:00
14 
07:00~23:00
 
2
07:00~23:30
 
2
07:00~18:00
 
1
Other values (6)
6 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique7 ?
Unique (%)13.7%

Sample

1st row07:00~18:00
2nd row00:00~24:00
3rd row00:00~24:00
4th row00:00~24:00
5th row09:00~18:00

Common Values

ValueCountFrequency (%)
00:00~24:00 26
51.0%
09:00~18:00 14
27.5%
07:00~23:00 2
 
3.9%
07:00~23:30 2
 
3.9%
07:00~18:00 1
 
2.0%
05:00~24:00 1
 
2.0%
08:00~19:00 1
 
2.0%
08:00~18:00 1
 
2.0%
07:00~24:00 1
 
2.0%
08:00~22:00 1
 
2.0%

Length

2024-04-13T21:59:11.214667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00~24:00 26
51.0%
09:00~18:00 14
27.5%
07:00~23:00 2
 
3.9%
07:00~23:30 2
 
3.9%
07:00~18:00 1
 
2.0%
05:00~24:00 1
 
2.0%
08:00~19:00 1
 
2.0%
08:00~18:00 1
 
2.0%
07:00~24:00 1
 
2.0%
08:00~22:00 1
 
2.0%

주말운영시간(공휴일포함)
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Memory size536.0 B
00:00~24:00
25 
00:00~00:00
19 
07:00~23:00
 
2
07:00~23:30
 
2
05:00~24:00
 
1
Other values (2)
 
2

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique3 ?
Unique (%)5.9%

Sample

1st row00:00~00:00
2nd row00:00~00:00
3rd row00:00~24:00
4th row00:00~24:00
5th row00:00~00:00

Common Values

ValueCountFrequency (%)
00:00~24:00 25
49.0%
00:00~00:00 19
37.3%
07:00~23:00 2
 
3.9%
07:00~23:30 2
 
3.9%
05:00~24:00 1
 
2.0%
07:00~24:00 1
 
2.0%
08:00~22:00 1
 
2.0%

Length

2024-04-13T21:59:11.410787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:59:11.607863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
00:00~24:00 25
49.0%
00:00~00:00 19
37.3%
07:00~23:00 2
 
3.9%
07:00~23:30 2
 
3.9%
05:00~24:00 1
 
2.0%
07:00~24:00 1
 
2.0%
08:00~22:00 1
 
2.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size536.0 B
2024-04-09
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-09
2nd row2024-04-09
3rd row2024-04-09
4th row2024-04-09
5th row2024-04-09

Common Values

ValueCountFrequency (%)
2024-04-09 51
100.0%

Length

2024-04-13T21:59:11.817034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-13T21:59:11.976584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-09 51
100.0%

Interactions

2024-04-13T21:59:03.290105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-13T21:59:12.080971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치장소도로명주소지번주소평일운영시간주말운영시간(공휴일포함)
연번1.0001.0000.9670.9890.4980.542
설치장소1.0001.0001.0001.0001.0001.000
도로명주소0.9671.0001.0001.0000.9390.989
지번주소0.9891.0001.0001.0000.9390.989
평일운영시간0.4981.0000.9390.9391.0000.994
주말운영시간(공휴일포함)0.5421.0000.9890.9890.9941.000
2024-04-13T21:59:12.261865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일운영시간주말운영시간(공휴일포함)
평일운영시간1.0000.945
주말운영시간(공휴일포함)0.9451.000
2024-04-13T21:59:12.405605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번평일운영시간주말운영시간(공휴일포함)
연번1.0000.1780.231
평일운영시간0.1781.0000.945
주말운영시간(공휴일포함)0.2310.9451.000

Missing values

2024-04-13T21:59:03.628897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-13T21:59:04.021476image/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

연번설치장소도로명주소지번주소평일운영시간주말운영시간(공휴일포함)데이터기준일자
01전주시청전북특별자치도 전주시 완산구 노송광장로 10전북특별자치도 전주시 완산구 서노송동 568-107:00~18:0000:00~00:002024-04-09
12전주시청 외부전북특별자치도 전주시 완산구 노송광장로 10전북특별자치도 전주시 완산구 서노송동 568-100:00~24:0000:00~00:002024-04-09
23완산구청전북특별자치도 전주시 완산구 서원로 232전북특별자치도 전주시 완산구 효자동1가 595번지00:00~24:0000:00~24:002024-04-09
34서곡치안센터전북특별자치도 전주시 완산구 세내로 552전북특별자치도 전주시 완산구 효자동3가 1456번지 1호00:00~24:0000:00~24:002024-04-09
45LH전북지역본부전북특별자치도 전주시 완산구 홍산로 158한국토지주택공사 전북본부 별관동 1층?09:00~18:0000:00~00:002024-04-09
56개인택시신협전북특별자치도 전주시 완산구 온고을로 170-15전북특별자치도 전주시 완산구 효자동3가 844번지 9호00:00~24:0000:00~24:002024-04-09
67서신동주민센터 내부전북특별자치도 전주시 완산구 서신천변14길 10전북특별자치도 전주시 완산구 서신동 804번지09:00~18:0000:00~00:002024-04-09
78서신동주민센터 외부전북특별자치도 전주시 완산구 서신천변14길 10(전북특별자치도 전주시 완산구 서신동 804번지00:00~24:0000:00~24:002024-04-09
89평화2동주민센터전북특별자치도 전주시 완산구 평화18길 14-16전북특별자치도 전주시 완산구 평화동1가 720번지 4호00:00~24:0000:00~24:002024-04-09
910전라북도청전북특별자치도 전주시 완산구 효자로 225전북특별자치도 전주시 완산구 효자동3가 1번지05:00~24:0005:00~24:002024-04-09
연번설치장소도로명주소지번주소평일운영시간주말운영시간(공휴일포함)데이터기준일자
4142북전주세무서전북특별자치도 전주시 덕진구 벚꽃로 33전북특별자치도 전주시 덕진구 진북동 416-1109:00~18:0000:00~00:002024-04-09
4243에코시티전북특별자치도 전주시 덕진구 세병로 171전북특별자치도 전주시 덕진구 송천동2가 130607:00~23:3007:00~23:302024-04-09
4344혁신동주민센터전북특별자치도 전주시 덕진구 오공로 43-24전북특별자치도 전주시 덕진구 중동 775-500:00~24:0000:00~24:002024-04-09
4445송천신협본점전북특별자치도 전주시 덕진구 붓내3길 38전북특별자치도 전주시 덕진구 송천동2가 22707:00~23:3007:00~23:302024-04-09
4546전주고용복지플러스센터전북특별자치도 전주시 덕진구 태진로 114전북특별자치도 전주시 덕진구 진북동 410-107:00~19:0000:00~00:002024-04-09
4647우아1동주민센터전북특별자치도 전주시 덕진구 우아2길 25전북특별자치도 전주시 덕진구 우아동3가 746-6700:00~24:0000:00~24:002024-04-09
4748우아2동주민센터전북특별자치도 전주시 덕진구 진버들7길 25전북특별자치도 전주시 덕진구 우아동2가 856-309:00~18:0000:00~00:002024-04-09
4849대자인병원전북특별자치도 전주시 덕진구 견훤로 390전북특별자치도 전주시 덕진구 우아동3가 734-1700:00~24:0000:00~24:002024-04-09
4950조촌동주민센터전북특별자치도 전주시 덕진구 쪽구름로 150전북특별자치도 전주시 덕진구 반월동 39400:00~24:0000:00~24:002024-04-09
5051인후1동주민센터전북특별자치도 전주시 덕진구 견훤로 290전북특별자치도 전주시 덕진구 인후동1가 766-900:00~24:0000:00~24:002024-04-09