Overview

Dataset statistics

Number of variables12
Number of observations114
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.0 KiB
Average record size in memory99.2 B

Variable types

Text4
Categorical5
Numeric2
DateTime1

Dataset

Description전라북도_무인민원발급정보_20171122
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201907

Alerts

발급민원종류 has constant value ""Constant
데이터기준일자 has constant value ""Constant
자료출처 has constant value ""Constant
위도 is highly overall correlated with 관리기관명 and 1 other fieldsHigh correlation
경도 is highly overall correlated with 관리기관명 and 1 other fieldsHigh correlation
운영시간 is highly overall correlated with 관리기관명High correlation
관리기관명 is highly overall correlated with 위도 and 3 other fieldsHigh correlation
전화번호 is highly overall correlated with 위도 and 2 other fieldsHigh correlation
설치장소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 15:18:58.753158
Analysis finished2023-12-10 15:19:01.005731
Duration2.25 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

설치장소
Text

UNIQUE 

Distinct114
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T00:19:01.317319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.245614
Min length2

Characters and Unicode

Total characters712
Distinct characters155
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

Unique114 ?
Unique (%)100.0%

Sample

1st row전주시청
2nd row풍남동
3rd row혁신도시민원센터
4th row효자동서곡치안센터
5th row호성동
ValueCountFrequency (%)
주민자치센터 3
 
2.2%
내부 3
 
2.2%
소룡동 3
 
2.2%
조촌동 2
 
1.4%
남원시청 2
 
1.4%
외부 2
 
1.4%
수송동주민센터 2
 
1.4%
서신동 2
 
1.4%
봉동읍 2
 
1.4%
경찰서민원실 1
 
0.7%
Other values (117) 117
84.2%
2023-12-11T00:19:02.028725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 54
 
7.6%
32
 
4.5%
소 21
 
2.9%
원 20
 
2.8%
주 20
 
2.8%
민 20
 
2.8%
산 19
 
2.7%
터 18
 
2.5%
무 17
 
2.4%
센 17
 
2.4%
Other values (145) 474
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 654
91.9%
Space Separator 32
 
4.5%
Decimal Number 19
 
2.7%
Connector Punctuation 3
 
0.4%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 54
 
8.3%
소 21
 
3.2%
원 20
 
3.1%
주 20
 
3.1%
민 20
 
3.1%
산 19
 
2.9%
터 18
 
2.8%
무 17
 
2.6%
센 17
 
2.6%
청 17
 
2.6%
Other values (136) 431
65.9%
Decimal Number
ValueCountFrequency (%)
1 7
36.8%
2 5
26.3%
3 4
21.1%
4 2
 
10.5%
0 1
 
5.3%
Space Separator
ValueCountFrequency (%)
32
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 654
91.9%
Common 58
 
8.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 54
 
8.3%
소 21
 
3.2%
원 20
 
3.1%
주 20
 
3.1%
민 20
 
3.1%
산 19
 
2.9%
터 18
 
2.8%
무 17
 
2.6%
센 17
 
2.6%
청 17
 
2.6%
Other values (136) 431
65.9%
Common
ValueCountFrequency (%)
32
55.2%
1 7
 
12.1%
2 5
 
8.6%
3 4
 
6.9%
_ 3
 
5.2%
( 2
 
3.4%
) 2
 
3.4%
4 2
 
3.4%
0 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 654
91.9%
ASCII 58
 
8.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 54
 
8.3%
소 21
 
3.2%
원 20
 
3.1%
주 20
 
3.1%
민 20
 
3.1%
산 19
 
2.9%
터 18
 
2.8%
무 17
 
2.6%
센 17
 
2.6%
청 17
 
2.6%
Other values (136) 431
65.9%
ASCII
ValueCountFrequency (%)
32
55.2%
1 7
 
12.1%
2 5
 
8.6%
3 4
 
6.9%
_ 3
 
5.2%
( 2
 
3.4%
) 2
 
3.4%
4 2
 
3.4%
0 1
 
1.7%

설치위치
Text

Distinct113
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T00:19:02.473024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length11.175439
Min length4

Characters and Unicode

Total characters1274
Distinct characters176
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

Unique112 ?
Unique (%)98.2%

Sample

1st row전주시청 민원실
2nd row풍남동 주민센터 입구
3rd row혁신도시 민원센터 내
4th row서곡치안센터 옆
5th row호성동주민센터 주차장
ValueCountFrequency (%)
입구 21
 
7.4%
내 17
 
6.0%
민원실 17
 
6.0%
앞 13
 
4.6%
주민센터 12
 
4.2%
옆 9
 
3.2%
1층 6
 
2.1%
현관 5
 
1.8%
입구(실외 4
 
1.4%
출입문 4
 
1.4%
Other values (152) 177
62.1%
2023-12-11T00:19:03.146870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
178
 
14.0%
민 56
 
4.4%
원 46
 
3.6%
주 36
 
2.8%
구 36
 
2.8%
입 34
 
2.7%
터 32
 
2.5%
실 32
 
2.5%
동 31
 
2.4%
센 30
 
2.4%
Other values (166) 763
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1049
82.3%
Space Separator 178
 
14.0%
Decimal Number 24
 
1.9%
Open Punctuation 11
 
0.9%
Close Punctuation 11
 
0.9%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
민 56
 
5.3%
원 46
 
4.4%
주 36
 
3.4%
구 36
 
3.4%
입 34
 
3.2%
터 32
 
3.1%
실 32
 
3.1%
동 31
 
3.0%
센 30
 
2.9%
무 30
 
2.9%
Other values (156) 686
65.4%
Decimal Number
ValueCountFrequency (%)
1 11
45.8%
3 5
20.8%
2 3
 
12.5%
6 2
 
8.3%
5 2
 
8.3%
4 1
 
4.2%
Space Separator
ValueCountFrequency (%)
178
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Other Punctuation
ValueCountFrequency (%)
: 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1049
82.3%
Common 225
 
17.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
민 56
 
5.3%
원 46
 
4.4%
주 36
 
3.4%
구 36
 
3.4%
입 34
 
3.2%
터 32
 
3.1%
실 32
 
3.1%
동 31
 
3.0%
센 30
 
2.9%
무 30
 
2.9%
Other values (156) 686
65.4%
Common
ValueCountFrequency (%)
178
79.1%
1 11
 
4.9%
( 11
 
4.9%
) 11
 
4.9%
3 5
 
2.2%
2 3
 
1.3%
6 2
 
0.9%
5 2
 
0.9%
: 1
 
0.4%
4 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1049
82.3%
ASCII 225
 
17.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
178
79.1%
1 11
 
4.9%
( 11
 
4.9%
) 11
 
4.9%
3 5
 
2.2%
2 3
 
1.3%
6 2
 
0.9%
5 2
 
0.9%
: 1
 
0.4%
4 1
 
0.4%
Hangul
ValueCountFrequency (%)
민 56
 
5.3%
원 46
 
4.4%
주 36
 
3.4%
구 36
 
3.4%
입 34
 
3.2%
터 32
 
3.1%
실 32
 
3.1%
동 31
 
3.0%
센 30
 
2.9%
무 30
 
2.9%
Other values (156) 686
65.4%

운영시간
Categorical

HIGH CORRELATION 

Distinct29
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
00:00-24:00
29 
09:00-18:00
23 
00:00-23:59
9 
03:00-23:50
7 
08:00-18:00
7 
Other values (24)
39 

Length

Max length11
Median length11
Mean length11
Min length11

Unique

Unique17 ?
Unique (%)14.9%

Sample

1st row05:00-24:00
2nd row00:00-24:00
3rd row09:00-18:00
4th row00:00-24:00
5th row00:00-24:00

Common Values

ValueCountFrequency (%)
00:00-24:00 29
25.4%
09:00-18:00 23
20.2%
00:00-23:59 9
 
7.9%
03:00-23:50 7
 
6.1%
08:00-18:00 7
 
6.1%
08:00-22:00 7
 
6.1%
08:00-20:00 4
 
3.5%
08:00-19:00 3
 
2.6%
07:00-24:00 2
 
1.8%
00:00-23:55 2
 
1.8%
Other values (19) 21
18.4%

Length

2023-12-11T00:19:03.381685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
00:00-24:00 29
25.4%
09:00-18:00 23
20.2%
00:00-23:59 9
 
7.9%
03:00-23:50 7
 
6.1%
08:00-18:00 7
 
6.1%
08:00-22:00 7
 
6.1%
08:00-20:00 4
 
3.5%
08:00-19:00 3
 
2.6%
09:00-23:00 2
 
1.8%
05:00-24:00 2
 
1.8%
Other values (19) 21
18.4%

발급민원종류
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세
114 

Length

Max length203
Median length203
Mean length203
Min length203

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세
2nd row주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세
3rd row주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세
4th row주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세
5th row주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세

Common Values

ValueCountFrequency (%)
주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세 114
100.0%

Length

2023-12-11T00:19:03.576988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:19:03.688560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세 114
100.0%

소재지도로명주소
Text

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T00:19:04.102241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length19.236842
Min length15

Characters and Unicode

Total characters2193
Distinct characters151
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

Unique108 ?
Unique (%)94.7%

Sample

1st row전라북도 전주시 완산구 노송광장로 10
2nd row전라북도 전주시 완산구 어진길 122-12
3rd row전라북도 전주시 완산구 오정2길 7
4th row전라북도 전주시 완산구 세내로 552
5th row전라북도 전주시 덕진구 동부대로 869
ValueCountFrequency (%)
전라북도 114
 
21.6%
전주시 36
 
6.8%
완산구 20
 
3.8%
덕진구 16
 
3.0%
군산시 14
 
2.7%
익산시 11
 
2.1%
장수군 8
 
1.5%
완주군 8
 
1.5%
김제시 8
 
1.5%
정읍시 8
 
1.5%
Other values (226) 285
54.0%
2023-12-11T00:19:04.844881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
420
19.2%
전 153
 
7.0%
북 117
 
5.3%
도 116
 
5.3%
라 115
 
5.2%
시 85
 
3.9%
로 83
 
3.8%
1 72
 
3.3%
산 62
 
2.8%
주 52
 
2.4%
Other values (141) 918
41.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1408
64.2%
Space Separator 420
 
19.2%
Decimal Number 342
 
15.6%
Dash Punctuation 22
 
1.0%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 153
 
10.9%
북 117
 
8.3%
도 116
 
8.2%
라 115
 
8.2%
시 85
 
6.0%
로 83
 
5.9%
산 62
 
4.4%
주 52
 
3.7%
군 45
 
3.2%
구 39
 
2.8%
Other values (128) 541
38.4%
Decimal Number
ValueCountFrequency (%)
1 72
21.1%
2 45
13.2%
3 39
11.4%
5 34
9.9%
9 33
9.6%
0 28
 
8.2%
7 26
 
7.6%
4 25
 
7.3%
6 21
 
6.1%
8 19
 
5.6%
Space Separator
ValueCountFrequency (%)
420
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1408
64.2%
Common 785
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 153
 
10.9%
북 117
 
8.3%
도 116
 
8.2%
라 115
 
8.2%
시 85
 
6.0%
로 83
 
5.9%
산 62
 
4.4%
주 52
 
3.7%
군 45
 
3.2%
구 39
 
2.8%
Other values (128) 541
38.4%
Common
ValueCountFrequency (%)
420
53.5%
1 72
 
9.2%
2 45
 
5.7%
3 39
 
5.0%
5 34
 
4.3%
9 33
 
4.2%
0 28
 
3.6%
7 26
 
3.3%
4 25
 
3.2%
- 22
 
2.8%
Other values (3) 41
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1408
64.2%
ASCII 785
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
420
53.5%
1 72
 
9.2%
2 45
 
5.7%
3 39
 
5.0%
5 34
 
4.3%
9 33
 
4.2%
0 28
 
3.6%
7 26
 
3.3%
4 25
 
3.2%
- 22
 
2.8%
Other values (3) 41
 
5.2%
Hangul
ValueCountFrequency (%)
전 153
 
10.9%
북 117
 
8.3%
도 116
 
8.2%
라 115
 
8.2%
시 85
 
6.0%
로 83
 
5.9%
산 62
 
4.4%
주 52
 
3.7%
군 45
 
3.2%
구 39
 
2.8%
Other values (128) 541
38.4%

소재지지번주소
Text

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2023-12-11T00:19:05.261551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length26
Mean length21.54386
Min length15

Characters and Unicode

Total characters2456
Distinct characters130
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

Unique108 ?
Unique (%)94.7%

Sample

1st row전라북도 전주시 완산구 서노송동 568번지 1호
2nd row전라북도 전주시 완산구 경원동1가 126번지 41호
3rd row전라북도 전주시 완산구 중동 6번지 374호
4th row전라북도 전주시 완산구 효자동3가 1456번지 1호
5th row전라북도 전주시 덕진구 호성동1가 863-44
ValueCountFrequency (%)
전라북도 114
 
20.7%
전주시 36
 
6.5%
완산구 20
 
3.6%
덕진구 16
 
2.9%
군산시 14
 
2.5%
1호 12
 
2.2%
익산시 11
 
2.0%
김제시 8
 
1.4%
정읍시 8
 
1.4%
완주군 8
 
1.4%
Other values (234) 305
55.3%
2023-12-11T00:19:05.855955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
18.0%
전 152
 
6.2%
북 118
 
4.8%
도 118
 
4.8%
라 114
 
4.6%
1 106
 
4.3%
시 84
 
3.4%
동 79
 
3.2%
산 59
 
2.4%
3 57
 
2.3%
Other values (120) 1128
45.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1514
61.6%
Decimal Number 459
 
18.7%
Space Separator 441
 
18.0%
Dash Punctuation 41
 
1.7%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 152
 
10.0%
북 118
 
7.8%
도 118
 
7.8%
라 114
 
7.5%
시 84
 
5.5%
동 79
 
5.2%
산 59
 
3.9%
주 52
 
3.4%
군 46
 
3.0%
지 43
 
2.8%
Other values (107) 649
42.9%
Decimal Number
ValueCountFrequency (%)
1 106
23.1%
3 57
12.4%
2 53
11.5%
6 46
10.0%
8 39
 
8.5%
5 38
 
8.3%
4 38
 
8.3%
7 28
 
6.1%
0 27
 
5.9%
9 27
 
5.9%
Space Separator
ValueCountFrequency (%)
441
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%
Close Punctuation
ValueCountFrequency (%)
] 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1514
61.6%
Common 942
38.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 152
 
10.0%
북 118
 
7.8%
도 118
 
7.8%
라 114
 
7.5%
시 84
 
5.5%
동 79
 
5.2%
산 59
 
3.9%
주 52
 
3.4%
군 46
 
3.0%
지 43
 
2.8%
Other values (107) 649
42.9%
Common
ValueCountFrequency (%)
441
46.8%
1 106
 
11.3%
3 57
 
6.1%
2 53
 
5.6%
6 46
 
4.9%
- 41
 
4.4%
8 39
 
4.1%
5 38
 
4.0%
4 38
 
4.0%
7 28
 
3.0%
Other values (3) 55
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1514
61.6%
ASCII 942
38.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
46.8%
1 106
 
11.3%
3 57
 
6.1%
2 53
 
5.6%
6 46
 
4.9%
- 41
 
4.4%
8 39
 
4.1%
5 38
 
4.0%
4 38
 
4.0%
7 28
 
3.0%
Other values (3) 55
 
5.8%
Hangul
ValueCountFrequency (%)
전 152
 
10.0%
북 118
 
7.8%
도 118
 
7.8%
라 114
 
7.5%
시 84
 
5.5%
동 79
 
5.2%
산 59
 
3.9%
주 52
 
3.4%
군 46
 
3.0%
지 43
 
2.8%
Other values (107) 649
42.9%

관리기관명
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
전라북도 전주시
36 
전라북도 군산시
14 
전라북도 익산시
11 
전라북도 정읍시
8 
전라북도 김제시
8 
Other values (9)
37 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row전라북도 전주시
2nd row전라북도 전주시
3rd row전라북도 전주시
4th row전라북도 전주시
5th row전라북도 전주시

Common Values

ValueCountFrequency (%)
전라북도 전주시 36
31.6%
전라북도 군산시 14
 
12.3%
전라북도 익산시 11
 
9.6%
전라북도 정읍시 8
 
7.0%
전라북도 김제시 8
 
7.0%
전라북도 완주군 8
 
7.0%
전라북도 장수군 8
 
7.0%
전라북도 남원시 6
 
5.3%
전라북도 무주군 5
 
4.4%
전라북도 부안군 4
 
3.5%
Other values (4) 6
 
5.3%

Length

2023-12-11T00:19:06.085474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전라북도 114
50.0%
전주시 36
 
15.8%
군산시 14
 
6.1%
익산시 11
 
4.8%
정읍시 8
 
3.5%
김제시 8
 
3.5%
완주군 8
 
3.5%
장수군 8
 
3.5%
남원시 6
 
2.6%
무주군 5
 
2.2%
Other values (5) 10
 
4.4%

전화번호
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
063-220-5243
20 
063-270-6218
16 
063-859-5867
10 
063-539-7704
 
4
063-580-4384
 
4
Other values (44)
60 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique30 ?
Unique (%)26.3%

Sample

1st row063-220-5243
2nd row063-220-5243
3rd row063-220-5243
4th row063-220-5243
5th row063-270-6218

Common Values

ValueCountFrequency (%)
063-220-5243 20
17.5%
063-270-6218 16
 
14.0%
063-859-5867 10
 
8.8%
063-539-7704 4
 
3.5%
063-580-4384 4
 
3.5%
063-454-7654 3
 
2.6%
063-620-6103 3
 
2.6%
063-540-4934 2
 
1.8%
063-454-7757 2
 
1.8%
063-454-7798 2
 
1.8%
Other values (39) 48
42.1%

Length

2023-12-11T00:19:06.260492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
063-220-5243 20
17.5%
063-270-6218 16
 
14.0%
063-859-5867 10
 
8.8%
063-539-7704 4
 
3.5%
063-580-4384 4
 
3.5%
063-454-7654 3
 
2.6%
063-620-6103 3
 
2.6%
063-320-2356 2
 
1.8%
063-539-7122 2
 
1.8%
063-320-2247 2
 
1.8%
Other values (39) 48
42.1%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.797707
Minimum35.358377
Maximum36.078946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T00:19:06.449795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.358377
5-th percentile35.418684
Q135.732248
median35.829207
Q335.940064
95-th percentile35.978225
Maximum36.078946
Range0.720569
Interquartile range (IQR)0.20781625

Descriptive statistics

Standard deviation0.16851031
Coefficient of variation (CV)0.0047072935
Kurtosis0.36982746
Mean35.797707
Median Absolute Deviation (MAD)0.1017855
Skewness-0.99704599
Sum4080.9386
Variance0.028395726
MonotonicityNot monotonic
2023-12-11T00:19:06.655253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.830985 2
 
1.8%
35.964656 2
 
1.8%
35.803682 2
 
1.8%
35.823913 1
 
0.9%
35.464172 1
 
0.9%
35.904398 1
 
0.9%
35.767041 1
 
0.9%
35.912604 1
 
0.9%
35.804982 1
 
0.9%
35.798029 1
 
0.9%
Other values (101) 101
88.6%
ValueCountFrequency (%)
35.358377 1
0.9%
35.374991 1
0.9%
35.376902 1
0.9%
35.409833 1
0.9%
35.415723 1
0.9%
35.41635 1
0.9%
35.419941 1
0.9%
35.435755 1
0.9%
35.437882 1
0.9%
35.464172 1
0.9%
ValueCountFrequency (%)
36.078946 1
0.9%
36.078465 1
0.9%
36.008083 1
0.9%
36.007067 1
0.9%
36.005602 1
0.9%
35.97885 1
0.9%
35.977889 1
0.9%
35.976416 1
0.9%
35.974258 1
0.9%
35.973297 1
0.9%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct111
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06959
Minimum126.47113
Maximum127.78948
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-11T00:19:06.910222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.47113
5-th percentile126.68573
Q1126.88118
median127.10493
Q3127.14873
95-th percentile127.60449
Maximum127.78948
Range1.318353
Interquartile range (IQR)0.26754975

Descriptive statistics

Standard deviation0.2796331
Coefficient of variation (CV)0.0022006296
Kurtosis0.072195785
Mean127.06959
Median Absolute Deviation (MAD)0.1722495
Skewness0.45824905
Sum14485.933
Variance0.078194669
MonotonicityNot monotonic
2023-12-11T00:19:07.157526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.115327 2
 
1.8%
126.717214 2
 
1.8%
126.880464 2
 
1.8%
127.14833 1
 
0.9%
127.600171 1
 
0.9%
127.162169 1
 
0.9%
127.210436 1
 
0.9%
127.077913 1
 
0.9%
126.891366 1
 
0.9%
126.89685 1
 
0.9%
Other values (101) 101
88.6%
ValueCountFrequency (%)
126.471132 1
0.9%
126.530497 1
0.9%
126.549961 1
0.9%
126.630226 1
0.9%
126.675421 1
0.9%
126.679317 1
0.9%
126.689177 1
0.9%
126.694523 1
0.9%
126.6991 1
0.9%
126.699321 1
0.9%
ValueCountFrequency (%)
127.789485 1
0.9%
127.779387 1
0.9%
127.671854 1
0.9%
127.660766 1
0.9%
127.652951 1
0.9%
127.612517 1
0.9%
127.600171 1
0.9%
127.588977 1
0.9%
127.577577 1
0.9%
127.54384 1
0.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
Minimum2017-11-22 00:00:00
Maximum2017-11-22 00:00:00
2023-12-11T00:19:07.380821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:19:08.121665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
정보총괄과
114 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정보총괄과 114
100.0%

Length

2023-12-11T00:19:08.341319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T00:19:08.530010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정보총괄과 114
100.0%

Interactions

2023-12-11T00:19:00.201947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:18:59.849899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:19:00.360812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T00:19:00.042286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T00:19:08.653620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영시간관리기관명전화번호위도경도
운영시간1.0000.9460.9370.6570.840
관리기관명0.9461.0001.0000.8980.912
전화번호0.9371.0001.0000.9770.988
위도0.6570.8980.9771.0000.843
경도0.8400.9120.9880.8431.000
2023-12-11T00:19:08.838163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관명전화번호운영시간
관리기관명1.0000.8060.616
전화번호0.8061.0000.416
운영시간0.6160.4161.000
2023-12-11T00:19:09.005726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도운영시간관리기관명전화번호
위도1.000-0.2050.2650.6420.651
경도-0.2051.0000.4410.6730.701
운영시간0.2650.4411.0000.6160.416
관리기관명0.6420.6730.6161.0000.806
전화번호0.6510.7010.4160.8061.000

Missing values

2023-12-11T00:19:00.615816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:19:00.901330image/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

설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도데이터기준일자자료출처
0전주시청전주시청 민원실05:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 노송광장로 10전라북도 전주시 완산구 서노송동 568번지 1호전라북도 전주시063-220-524335.823913127.148332017-11-22정보총괄과
1풍남동풍남동 주민센터 입구00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 어진길 122-12전라북도 전주시 완산구 경원동1가 126번지 41호전라북도 전주시063-220-524335.816824127.1488592017-11-22정보총괄과
2혁신도시민원센터혁신도시 민원센터 내09:00-18:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 오정2길 7전라북도 전주시 완산구 중동 6번지 374호전라북도 전주시063-220-524335.844058127.0670282017-11-22정보총괄과
3효자동서곡치안센터서곡치안센터 옆00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 세내로 552전라북도 전주시 완산구 효자동3가 1456번지 1호전라북도 전주시063-220-524335.834437127.0995492017-11-22정보총괄과
4호성동호성동주민센터 주차장00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 덕진구 동부대로 869전라북도 전주시 덕진구 호성동1가 863-44전라북도 전주시063-270-621835.863634127.1495992017-11-22정보총괄과
5금암1동금암1동주민센터 입구(실외)00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 덕진구 기린대로 392전라북도 전주시 덕진구 금암동 470-7전라북도 전주시063-270-621835.837369127.1330552017-11-22정보총괄과
6서신동 내부서신동 주민센터 내09:00-18:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 서신천변14길 10전라북도 전주시 완산구 서신동 804번지전라북도 전주시063-220-524335.830985127.1153272017-11-22정보총괄과
7평화2동평화2동 주민센터 외부00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 평화18길 14-16전라북도 전주시 완산구 평화동1가 720번지 4호전라북도 전주시063-220-524335.795513127.1356232017-11-22정보총괄과
8송천2동송천2동주민센터 입구(실외)00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 덕진구 두간9길 6전라북도 전주시 덕진구 송천동1가 829-1전라북도 전주시063-270-621835.86484127.1155932017-11-22정보총괄과
9서신동 외부서신동 주민센터 출입문 앞00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 전주시 완산구 서신천변14길 10전라북도 전주시 완산구 서신동 804번지전라북도 전주시063-220-524335.830985127.1153272017-11-22정보총괄과
설치장소설치위치운영시간발급민원종류소재지도로명주소소재지지번주소관리기관명전화번호위도경도데이터기준일자자료출처
104계북면사무소계북면사무소 민원실 입구00:00-24:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 장수군 계북면 장무로 961전라북도 장수군 계북면 어전리 860-1전라북도 장수군063-350-298135.785548127.6125172017-11-22정보총괄과
105임실군청 민원봉사과 01임실군청 민원봉사과 내09:00-17:55주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 임실군 임실읍 이도리 78전라북도 임실군 임실읍 수정로 31전라북도 임실군063-640-225335.618402127.2899872017-11-22정보총괄과
106읍사무소순창읍사무소 현관08:00-22:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 순창군 순창읍 장류로 407-7전라북도 순창군 순창읍 남계리966번지전라북도 순창군063-650-142135.376902127.147012017-11-22정보총괄과
107군청민원과순창군청 민원과 현관08:00-22:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 순창군 순창읍 경천로 33전라북도 순창군 순창읍 순화리315번지 4호전라북도 순창군063-650-142135.374991127.1393162017-11-22정보총괄과
108고창군청고창군청 민원실08:00-22:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 고창군 고창읍 중앙로 245전라북도 고창군 고창읍 교촌리 275-3전라북도 고창군063-560-285235.435755126.7020572017-11-22정보총괄과
109농협하나로마트농협 하나로마트08:00-22:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 고창군 고창읍 성산로 22전라북도 고창군 고창읍 읍내리 677전라북도 고창군063-560-285235.437882126.6945232017-11-22정보총괄과
110부안농협중앙회농협은행 부안군지부 365코너08:00-22:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 부안군 부안읍 번영로 121전라북도 부안군 부안읍 서외리 13-3전라북도 부안군063-580-438435.726554126.7336432017-11-22정보총괄과
111부안군청부안군청 1층 로비00:00-23:55주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 부안군 부안읍 당산로 91전라북도 부안군 부안읍 동중리 222-1전라북도 부안군063-580-438435.731631126.7330542017-11-22정보총괄과
112부안수협 격포지점부안수협 격포지점 365코너06:00-23:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 부안군 변산면 격포중앙길 28-10전라북도 부안군 변산면 격포리 788-13전라북도 부안군063-580-438435.62032126.4711322017-11-22정보총괄과
113부안읍사무소부안읍사무소09:00-21:00주민등록등본/주민등록초본+개별공시지가확인원+토지이용계획확인원+토지대장등본/임야대장등본+건축물대장+건축물대장총괄표제부+집합건축물대장(표제부)+집합건축물대장(전유부분)+건설기계등록원부(갑)+건설기계등록원부(을)+자동차등록원부(갑)+자동차등록원부(을)+국민기초수급자증명+의료급여증명서+한부모가족증명서+농지원부+병적증명서+지방세+부동산(법원)+제적(법원)+수산+교육+국세전라북도 부안군 부안읍 석정로 182전라북도 부안군 부안읍 동중리 123-2전라북도 부안군063-580-438435.729479126.7367022017-11-22정보총괄과