Overview

Dataset statistics

Number of variables11
Number of observations206
Missing cells8
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory17.8 KiB
Average record size in memory88.6 B

Variable types

Text4
Categorical6
DateTime1

Dataset

Description2023년 2월 28일자로 조회된 강원도 홍천군에 존재하는 경로당에 대한 정보로, 경로당의 시설명, 주소, 면적, 관리기관 등에 대한 정보를 얻을 수 있습니다.
Author강원도 홍천군
URLhttps://www.data.go.kr/data/15107556/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리부서명 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
전화번호 has 6 (2.9%) missing valuesMissing
시설명 has unique valuesUnique
소재지 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:53:40.869526
Analysis finished2023-12-12 18:53:41.951884
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T03:53:42.292105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length8
Mean length8.6359223
Min length7

Characters and Unicode

Total characters1779
Distinct characters151
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

Unique206 ?
Unique (%)100.0%

Sample

1st row진1리 경로당
2nd row진2리 경로당
3rd row진3리 경로당
4th row신장대1.2연합 경로당
5th row신장대3리 경로당
ValueCountFrequency (%)
경로당 205
49.8%
진1리 1
 
0.2%
장항리 1
 
0.2%
제곡리 1
 
0.2%
신대1리 1
 
0.2%
신대2리 1
 
0.2%
시동1리 1
 
0.2%
시동2리 1
 
0.2%
시동3리 1
 
0.2%
시동4리 1
 
0.2%
Other values (198) 198
48.1%
2023-12-13T03:53:42.872051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 206
 
11.6%
206
 
11.6%
경 206
 
11.6%
로 206
 
11.6%
당 206
 
11.6%
1 62
 
3.5%
2 61
 
3.4%
( 27
 
1.5%
) 27
 
1.5%
곡 22
 
1.2%
Other values (141) 550
30.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1358
76.3%
Space Separator 206
 
11.6%
Decimal Number 160
 
9.0%
Open Punctuation 27
 
1.5%
Close Punctuation 27
 
1.5%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 206
15.2%
경 206
15.2%
로 206
15.2%
당 206
15.2%
곡 22
 
1.6%
동 18
 
1.3%
운 16
 
1.2%
대 14
 
1.0%
화 12
 
0.9%
봉 12
 
0.9%
Other values (127) 440
32.4%
Decimal Number
ValueCountFrequency (%)
1 62
38.8%
2 61
38.1%
3 17
 
10.6%
4 5
 
3.1%
7 3
 
1.9%
6 3
 
1.9%
5 3
 
1.9%
8 2
 
1.2%
0 2
 
1.2%
9 2
 
1.2%
Space Separator
ValueCountFrequency (%)
206
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1358
76.3%
Common 421
 
23.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 206
15.2%
경 206
15.2%
로 206
15.2%
당 206
15.2%
곡 22
 
1.6%
동 18
 
1.3%
운 16
 
1.2%
대 14
 
1.0%
화 12
 
0.9%
봉 12
 
0.9%
Other values (127) 440
32.4%
Common
ValueCountFrequency (%)
206
48.9%
1 62
 
14.7%
2 61
 
14.5%
( 27
 
6.4%
) 27
 
6.4%
3 17
 
4.0%
4 5
 
1.2%
7 3
 
0.7%
6 3
 
0.7%
5 3
 
0.7%
Other values (4) 7
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1358
76.3%
ASCII 421
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 206
15.2%
경 206
15.2%
로 206
15.2%
당 206
15.2%
곡 22
 
1.6%
동 18
 
1.3%
운 16
 
1.2%
대 14
 
1.0%
화 12
 
0.9%
봉 12
 
0.9%
Other values (127) 440
32.4%
ASCII
ValueCountFrequency (%)
206
48.9%
1 62
 
14.7%
2 61
 
14.5%
( 27
 
6.4%
) 27
 
6.4%
3 17
 
4.0%
4 5
 
1.2%
7 3
 
0.7%
6 3
 
0.7%
5 3
 
0.7%
Other values (4) 7
 
1.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
강원도
206 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원도 206
100.0%

Length

2023-12-13T03:53:43.083494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:43.277055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원도 206
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
홍천군
206 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍천군 206
100.0%

Length

2023-12-13T03:53:43.490784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:43.667744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍천군 206
100.0%

읍면동명
Categorical

Distinct10
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
홍천읍
49 
남면
22 
화촌면
20 
북방면
20 
내면
20 
Other values (5)
75 

Length

Max length4
Median length3
Mean length2.7815534
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍천읍 49
23.8%
남면 22
10.7%
화촌면 20
9.7%
북방면 20
9.7%
내면 20
9.7%
서면 17
 
8.3%
두촌면 16
 
7.8%
내촌면 14
 
6.8%
서석면 14
 
6.8%
영귀미면 14
 
6.8%

Length

2023-12-13T03:53:43.870113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:44.074287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍천읍 49
23.8%
남면 22
10.7%
화촌면 20
9.7%
북방면 20
9.7%
내면 20
9.7%
서면 17
 
8.3%
두촌면 16
 
7.8%
내촌면 14
 
6.8%
서석면 14
 
6.8%
영귀미면 14
 
6.8%

소재지 주소
Text

UNIQUE 

Distinct206
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-12-13T03:53:44.484940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length20.825243
Min length16

Characters and Unicode

Total characters4290
Distinct characters178
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

Unique206 ?
Unique (%)100.0%

Sample

1st row강원도 홍천군 홍천읍 희망로14길 15-17
2nd row강원도 홍천군 홍천읍 희망진리길 14
3rd row강원도 홍천군 홍천읍 너브내길 121
4th row강원도 홍천군 홍천읍 홍천로7길 19-1
5th row강원도 홍천군 홍천읍 너브내길 59
ValueCountFrequency (%)
강원도 206
19.9%
홍천군 206
19.9%
홍천읍 49
 
4.7%
남면 22
 
2.1%
북방면 20
 
1.9%
내면 20
 
1.9%
화촌면 20
 
1.9%
서면 17
 
1.6%
두촌면 15
 
1.5%
서석면 14
 
1.4%
Other values (322) 444
43.0%
2023-12-13T03:53:45.111955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
943
22.0%
천 263
 
6.1%
홍 259
 
6.0%
원 214
 
5.0%
도 210
 
4.9%
강 209
 
4.9%
군 208
 
4.8%
면 157
 
3.7%
1 138
 
3.2%
길 120
 
2.8%
Other values (168) 1569
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2632
61.4%
Space Separator 943
 
22.0%
Decimal Number 655
 
15.3%
Dash Punctuation 58
 
1.4%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 263
 
10.0%
홍 259
 
9.8%
원 214
 
8.1%
도 210
 
8.0%
강 209
 
7.9%
군 208
 
7.9%
면 157
 
6.0%
길 120
 
4.6%
로 117
 
4.4%
촌 52
 
2.0%
Other values (154) 823
31.3%
Decimal Number
ValueCountFrequency (%)
1 138
21.1%
2 88
13.4%
4 71
10.8%
5 68
10.4%
0 60
9.2%
7 53
 
8.1%
3 51
 
7.8%
6 50
 
7.6%
8 44
 
6.7%
9 32
 
4.9%
Space Separator
ValueCountFrequency (%)
943
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2632
61.4%
Common 1658
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 263
 
10.0%
홍 259
 
9.8%
원 214
 
8.1%
도 210
 
8.0%
강 209
 
7.9%
군 208
 
7.9%
면 157
 
6.0%
길 120
 
4.6%
로 117
 
4.4%
촌 52
 
2.0%
Other values (154) 823
31.3%
Common
ValueCountFrequency (%)
943
56.9%
1 138
 
8.3%
2 88
 
5.3%
4 71
 
4.3%
5 68
 
4.1%
0 60
 
3.6%
- 58
 
3.5%
7 53
 
3.2%
3 51
 
3.1%
6 50
 
3.0%
Other values (4) 78
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2632
61.4%
ASCII 1658
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
943
56.9%
1 138
 
8.3%
2 88
 
5.3%
4 71
 
4.3%
5 68
 
4.1%
0 60
 
3.6%
- 58
 
3.5%
7 53
 
3.2%
3 51
 
3.1%
6 50
 
3.0%
Other values (4) 78
 
4.7%
Hangul
ValueCountFrequency (%)
천 263
 
10.0%
홍 259
 
9.8%
원 214
 
8.1%
도 210
 
8.0%
강 209
 
7.9%
군 208
 
7.9%
면 157
 
6.0%
길 120
 
4.6%
로 117
 
4.4%
촌 52
 
2.0%
Other values (154) 823
31.3%

면적
Text

Distinct193
Distinct (%)94.1%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
2023-12-13T03:53:45.554424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length6
Mean length5.3365854
Min length2

Characters and Unicode

Total characters1094
Distinct characters12
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

Unique182 ?
Unique (%)88.8%

Sample

1st row108.81
2nd row104
3rd row115.08
4th row124.71
5th row119.14
ValueCountFrequency (%)
191.07 3
 
1.5%
161.22 2
 
1.0%
99 2
 
1.0%
80.3 2
 
1.0%
82.32 2
 
1.0%
86.04 2
 
1.0%
156.68 2
 
1.0%
87.69 2
 
1.0%
83.2 2
 
1.0%
85.5 2
 
1.0%
Other values (183) 184
89.8%
2023-12-13T03:53:46.275942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 193
17.6%
1 160
14.6%
8 116
10.6%
2 101
9.2%
9 82
7.5%
4 80
7.3%
3 80
7.3%
5 76
 
6.9%
6 75
 
6.9%
7 73
 
6.7%
Other values (2) 58
 
5.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 899
82.2%
Other Punctuation 195
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 160
17.8%
8 116
12.9%
2 101
11.2%
9 82
9.1%
4 80
8.9%
3 80
8.9%
5 76
8.5%
6 75
8.3%
7 73
8.1%
0 56
 
6.2%
Other Punctuation
ValueCountFrequency (%)
. 193
99.0%
, 2
 
1.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1094
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
. 193
17.6%
1 160
14.6%
8 116
10.6%
2 101
9.2%
9 82
7.5%
4 80
7.3%
3 80
7.3%
5 76
 
6.9%
6 75
 
6.9%
7 73
 
6.7%
Other values (2) 58
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1094
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 193
17.6%
1 160
14.6%
8 116
10.6%
2 101
9.2%
9 82
7.5%
4 80
7.3%
3 80
7.3%
5 76
 
6.9%
6 75
 
6.9%
7 73
 
6.7%
Other values (2) 58
 
5.3%

전화번호
Text

MISSING 

Distinct199
Distinct (%)99.5%
Missing6
Missing (%)2.9%
Memory size1.7 KiB
2023-12-13T03:53:46.673285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.005
Min length12

Characters and Unicode

Total characters2401
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

Unique198 ?
Unique (%)99.0%

Sample

1st row033-432-1132
2nd row033-432-6268
3rd row033-434-3576
4th row033-433-4466
5th row033-433-1237
ValueCountFrequency (%)
033-435-9591 2
 
1.0%
033-435-1914 1
 
0.5%
033-432-1132 1
 
0.5%
033-432-5101 1
 
0.5%
033-432-5445 1
 
0.5%
033-432-1020 1
 
0.5%
033-432-1247 1
 
0.5%
033-432-5784 1
 
0.5%
033-432-1635 1
 
0.5%
033-432-9053 1
 
0.5%
Other values (189) 189
94.5%
2023-12-13T03:53:47.260093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 721
30.0%
- 400
16.7%
4 307
12.8%
0 286
 
11.9%
5 143
 
6.0%
2 117
 
4.9%
6 102
 
4.2%
1 96
 
4.0%
7 93
 
3.9%
9 69
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2001
83.3%
Dash Punctuation 400
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 721
36.0%
4 307
15.3%
0 286
 
14.3%
5 143
 
7.1%
2 117
 
5.8%
6 102
 
5.1%
1 96
 
4.8%
7 93
 
4.6%
9 69
 
3.4%
8 67
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 400
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2401
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 721
30.0%
- 400
16.7%
4 307
12.8%
0 286
 
11.9%
5 143
 
6.0%
2 117
 
4.9%
6 102
 
4.2%
1 96
 
4.0%
7 93
 
3.9%
9 69
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2401
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 721
30.0%
- 400
16.7%
4 307
12.8%
0 286
 
11.9%
5 143
 
6.0%
2 117
 
4.9%
6 102
 
4.2%
1 96
 
4.0%
7 93
 
3.9%
9 69
 
2.9%

설치일자
Date

Distinct191
Distinct (%)93.2%
Missing1
Missing (%)0.5%
Memory size1.7 KiB
Minimum1979-11-08 00:00:00
Maximum2022-05-26 00:00:00
2023-12-13T03:53:47.507102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:53:47.738664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
홍천군청
206 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
홍천군청 206
100.0%

Length

2023-12-13T03:53:47.947735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:48.118544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
홍천군청 206
100.0%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
행복나눔과
206 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행복나눔과 206
100.0%

Length

2023-12-13T03:53:48.290125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:48.499302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행복나눔과 206
100.0%

데이터 기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.7 KiB
2023-02-28
206 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-02-28
2nd row2023-02-28
3rd row2023-02-28
4th row2023-02-28
5th row2023-02-28

Common Values

ValueCountFrequency (%)
2023-02-28 206
100.0%

Length

2023-12-13T03:53:48.709565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:53:48.908006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-02-28 206
100.0%

Missing values

2023-12-13T03:53:41.380425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:53:41.666391image/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.
2023-12-13T03:53:41.862293image/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

시설명시도명시군구명읍면동명소재지 주소면적전화번호설치일자관리기관명관리부서명데이터 기준일자
0진1리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 희망로14길 15-17108.81033-432-11322018-10-30홍천군청행복나눔과2023-02-28
1진2리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 희망진리길 14104033-432-62682011-05-21홍천군청행복나눔과2023-02-28
2진3리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 너브내길 121115.08033-434-35761995-02-23홍천군청행복나눔과2023-02-28
3신장대1.2연합 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 홍천로7길 19-1124.71033-433-44662017-12-21홍천군청행복나눔과2023-02-28
4신장대3리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 너브내길 59119.14033-433-12372009-10-12홍천군청행복나눔과2023-02-28
5희망1리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 석화로 118157.86<NA>2021-08-24홍천군청행복나눔과2023-02-28
6희망2리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 석화로3길 35-7115.4033-433-28322018-10-29홍천군청행복나눔과2023-02-28
7희망2리(미진동백) 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 마지기로 1011,812.56033-435-88981994-04-16홍천군청행복나눔과2023-02-28
8희망3리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 두개비산로 58123.22033-433-36672009-12-28홍천군청행복나눔과2023-02-28
9희망4리 경로당강원도홍천군홍천읍강원도 홍천군 홍천읍 신장대로 3494.25033-434-74882014-12-08홍천군청행복나눔과2023-02-28
시설명시도명시군구명읍면동명소재지 주소면적전화번호설치일자관리기관명관리부서명데이터 기준일자
196자운1리 경로당강원도홍천군내면강원도 홍천군 내면 운두령로 755-176.17033-435-11541998-12-30홍천군청행복나눔과2023-02-28
197자운1리(운두골) 경로당강원도홍천군내면강원도 홍천군 내면 운두령로 508228.04033-435-54622002-05-21홍천군청행복나눔과2023-02-28
198자운2리 경로당강원도홍천군내면강원도 홍천군 내면 구룡령로 4902118.02033-432-12641997-11-07홍천군청행복나눔과2023-02-28
199자운2리(원자운) 경로당강원도홍천군내면강원도 홍천군 내면 원자운길 112741.78033-434-01122009-08-28홍천군청행복나눔과2023-02-28
200자운3리 경로당강원도홍천군내면강원도 홍천군 내면 경천길 22586.04033-432-80362004-04-06홍천군청행복나눔과2023-02-28
201자운4리 경로당강원도홍천군내면강원도 홍천군 내면 운두령로 679-2180.3033-435-33192004-12-13홍천군청행복나눔과2023-02-28
202방내1리 경로당강원도홍천군내면강원도 홍천군 내면 방내시장길 1685.29033-435-73032006-12-11홍천군청행복나눔과2023-02-28
203방내1리(수유동) 경로당강원도홍천군내면강원도 홍천군 내면 수유동길 54085.95<NA>2003-08-23홍천군청행복나눔과2023-02-28
204방내2리 경로당강원도홍천군내면강원도 홍천군 내면 여차동길 531162.27033-436-53102003-08-14홍천군청행복나눔과2023-02-28
205방내3리 경로당강원도홍천군내면강원도 홍천군 내면 방내로 64184.75033-434-95682003-08-21홍천군청행복나눔과2023-02-28