Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory69.6 B

Variable types

Categorical2
Text4
Numeric1
DateTime1

Dataset

Description경기도 의정부시 관할 관공서 현황에 대한 데이터로 시도명, 시군구명, 구분명, 도로명주소, 지번주소, 우편번호, 전화번호안내, 데이터기준일자 등의 항목으로 구성되어 있습니다.
Author경기도 의정부시
URLhttps://www.data.go.kr/data/15017427/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
구분명 has unique valuesUnique
전화번호안내 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:20:49.622759
Analysis finished2023-12-12 20:20:50.369162
Duration0.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
경기도
29 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도 29
100.0%

Length

2023-12-13T05:20:50.467766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:20:50.599156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
의정부시
29 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의정부시 29
100.0%

Length

2023-12-13T05:20:50.741849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:20:50.870145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의정부시 29
100.0%

구분명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:20:51.089883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length8.4482759
Min length3

Characters and Unicode

Total characters245
Distinct characters76
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

Unique29 ?
Unique (%)100.0%

Sample

1st row의정부시청
2nd row의정부시청 별관(교통지도과)
3rd row의정부시청 별관(도시농업기술과)
4th row보건소
5th row동부보건과
ValueCountFrequency (%)
주민센터 10
21.7%
행정복지센터 4
 
8.7%
의정부시청 3
 
6.5%
가능동 1
 
2.2%
신곡2동 1
 
2.2%
송산1동 1
 
2.2%
송산2동 1
 
2.2%
자금동 1
 
2.2%
녹양동 1
 
2.2%
호원1동 1
 
2.2%
Other values (22) 22
47.8%
2023-12-13T05:20:51.515572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
17
 
6.9%
동 16
 
6.5%
터 14
 
5.7%
센 14
 
5.7%
정 11
 
4.5%
주 10
 
4.1%
민 10
 
4.1%
관 9
 
3.7%
도 8
 
3.3%
부 7
 
2.9%
Other values (66) 129
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 212
86.5%
Space Separator 17
 
6.9%
Decimal Number 9
 
3.7%
Close Punctuation 3
 
1.2%
Open Punctuation 3
 
1.2%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 16
 
7.5%
터 14
 
6.6%
센 14
 
6.6%
정 11
 
5.2%
주 10
 
4.7%
민 10
 
4.7%
관 9
 
4.2%
도 8
 
3.8%
부 7
 
3.3%
서 6
 
2.8%
Other values (59) 107
50.5%
Decimal Number
ValueCountFrequency (%)
1 4
44.4%
2 4
44.4%
3 1
 
11.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 212
86.5%
Common 33
 
13.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 16
 
7.5%
터 14
 
6.6%
센 14
 
6.6%
정 11
 
5.2%
주 10
 
4.7%
민 10
 
4.7%
관 9
 
4.2%
도 8
 
3.8%
부 7
 
3.3%
서 6
 
2.8%
Other values (59) 107
50.5%
Common
ValueCountFrequency (%)
17
51.5%
1 4
 
12.1%
2 4
 
12.1%
) 3
 
9.1%
( 3
 
9.1%
3 1
 
3.0%
, 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 212
86.5%
ASCII 33
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
17
51.5%
1 4
 
12.1%
2 4
 
12.1%
) 3
 
9.1%
( 3
 
9.1%
3 1
 
3.0%
, 1
 
3.0%
Hangul
ValueCountFrequency (%)
동 16
 
7.5%
터 14
 
6.6%
센 14
 
6.6%
정 11
 
5.2%
주 10
 
4.7%
민 10
 
4.7%
관 9
 
4.2%
도 8
 
3.8%
부 7
 
3.3%
서 6
 
2.8%
Other values (59) 107
50.5%

도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:20:51.814381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length23.206897
Min length21

Characters and Unicode

Total characters673
Distinct characters60
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

Unique27 ?
Unique (%)93.1%

Sample

1st row경기도 의정부시 시민로 1 (의정부동)
2nd row경기도 의정부시 의정로46번길 25 (의정부동)
3rd row경기도 의정부시 시민로416번길 107 (용현동)
4th row경기도 의정부시 범골로 131 (의정부동)
5th row경기도 의정부시 민락로 360 (낙양동)
ValueCountFrequency (%)
경기도 29
20.0%
의정부시 29
20.0%
의정부동 6
 
4.1%
신곡동 5
 
3.4%
가능동 4
 
2.8%
민락로 4
 
2.8%
호원동 3
 
2.1%
민락동 2
 
1.4%
115 2
 
1.4%
신흥로 2
 
1.4%
Other values (52) 59
40.7%
2023-12-13T05:20:52.334381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
116
17.2%
의 37
 
5.5%
정 37
 
5.5%
부 36
 
5.3%
시 31
 
4.6%
동 31
 
4.6%
경 29
 
4.3%
로 29
 
4.3%
) 29
 
4.3%
기 29
 
4.3%
Other values (50) 269
40.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 401
59.6%
Space Separator 116
 
17.2%
Decimal Number 96
 
14.3%
Close Punctuation 29
 
4.3%
Open Punctuation 29
 
4.3%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 37
 
9.2%
정 37
 
9.2%
부 36
 
9.0%
시 31
 
7.7%
동 31
 
7.7%
경 29
 
7.2%
로 29
 
7.2%
기 29
 
7.2%
도 29
 
7.2%
민 9
 
2.2%
Other values (36) 104
25.9%
Decimal Number
ValueCountFrequency (%)
1 23
24.0%
2 15
15.6%
3 12
12.5%
0 9
 
9.4%
5 9
 
9.4%
4 9
 
9.4%
7 6
 
6.2%
9 5
 
5.2%
6 5
 
5.2%
8 3
 
3.1%
Space Separator
ValueCountFrequency (%)
116
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 401
59.6%
Common 272
40.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 37
 
9.2%
정 37
 
9.2%
부 36
 
9.0%
시 31
 
7.7%
동 31
 
7.7%
경 29
 
7.2%
로 29
 
7.2%
기 29
 
7.2%
도 29
 
7.2%
민 9
 
2.2%
Other values (36) 104
25.9%
Common
ValueCountFrequency (%)
116
42.6%
) 29
 
10.7%
( 29
 
10.7%
1 23
 
8.5%
2 15
 
5.5%
3 12
 
4.4%
0 9
 
3.3%
5 9
 
3.3%
4 9
 
3.3%
7 6
 
2.2%
Other values (4) 15
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 401
59.6%
ASCII 272
40.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
116
42.6%
) 29
 
10.7%
( 29
 
10.7%
1 23
 
8.5%
2 15
 
5.5%
3 12
 
4.4%
0 9
 
3.3%
5 9
 
3.3%
4 9
 
3.3%
7 6
 
2.2%
Other values (4) 15
 
5.5%
Hangul
ValueCountFrequency (%)
의 37
 
9.2%
정 37
 
9.2%
부 36
 
9.0%
시 31
 
7.7%
동 31
 
7.7%
경 29
 
7.2%
로 29
 
7.2%
기 29
 
7.2%
도 29
 
7.2%
민 9
 
2.2%
Other values (36) 104
25.9%

지번주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:20:52.602161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length19
Mean length17.827586
Min length15

Characters and Unicode

Total characters517
Distinct characters37
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row경기도 의정부시 의정부동 326-2
2nd row경기도 의정부시 의정부동 524-5
3rd row경기도 의정부시 용현동 490-1
4th row경기도 의정부시 의정부동 516
5th row경기도 의정부시 낙양동 750
ValueCountFrequency (%)
경기도 29
25.0%
의정부시 29
25.0%
의정부동 6
 
5.2%
신곡동 5
 
4.3%
가능동 4
 
3.4%
호원동 3
 
2.6%
녹양동 2
 
1.7%
장암동 2
 
1.7%
민락동 2
 
1.7%
용현동 2
 
1.7%
Other values (30) 32
27.6%
2023-12-13T05:20:53.078682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
87
16.8%
의 35
 
6.8%
정 35
 
6.8%
부 35
 
6.8%
경 29
 
5.6%
도 29
 
5.6%
시 29
 
5.6%
동 29
 
5.6%
기 29
 
5.6%
- 22
 
4.3%
Other values (27) 158
30.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 296
57.3%
Decimal Number 112
 
21.7%
Space Separator 87
 
16.8%
Dash Punctuation 22
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 35
11.8%
정 35
11.8%
부 35
11.8%
경 29
9.8%
도 29
9.8%
시 29
9.8%
동 29
9.8%
기 29
9.8%
곡 5
 
1.7%
신 5
 
1.7%
Other values (15) 36
12.2%
Decimal Number
ValueCountFrequency (%)
1 18
16.1%
2 17
15.2%
5 16
14.3%
7 14
12.5%
4 11
9.8%
6 10
8.9%
3 9
8.0%
0 7
 
6.2%
9 5
 
4.5%
8 5
 
4.5%
Space Separator
ValueCountFrequency (%)
87
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 296
57.3%
Common 221
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 35
11.8%
정 35
11.8%
부 35
11.8%
경 29
9.8%
도 29
9.8%
시 29
9.8%
동 29
9.8%
기 29
9.8%
곡 5
 
1.7%
신 5
 
1.7%
Other values (15) 36
12.2%
Common
ValueCountFrequency (%)
87
39.4%
- 22
 
10.0%
1 18
 
8.1%
2 17
 
7.7%
5 16
 
7.2%
7 14
 
6.3%
4 11
 
5.0%
6 10
 
4.5%
3 9
 
4.1%
0 7
 
3.2%
Other values (2) 10
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 296
57.3%
ASCII 221
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
87
39.4%
- 22
 
10.0%
1 18
 
8.1%
2 17
 
7.7%
5 16
 
7.2%
7 14
 
6.3%
4 11
 
5.0%
6 10
 
4.5%
3 9
 
4.1%
0 7
 
3.2%
Other values (2) 10
 
4.5%
Hangul
ValueCountFrequency (%)
의 35
11.8%
정 35
11.8%
부 35
11.8%
경 29
9.8%
도 29
9.8%
시 29
9.8%
동 29
9.8%
기 29
9.8%
곡 5
 
1.7%
신 5
 
1.7%
Other values (15) 36
12.2%

우편번호
Real number (ℝ)

Distinct25
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11706.655
Minimum11606
Maximum11814
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T05:20:53.259957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11606
5-th percentile11611.8
Q111634
median11710
Q311780
95-th percentile11812
Maximum11814
Range208
Interquartile range (IQR)146

Descriptive statistics

Standard deviation71.695923
Coefficient of variation (CV)0.006124373
Kurtosis-1.4108154
Mean11706.655
Median Absolute Deviation (MAD)70
Skewness0.14102324
Sum339493
Variance5140.3054
MonotonicityNot monotonic
2023-12-13T05:20:53.424854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11622 2
 
6.9%
11812 2
 
6.9%
11780 2
 
6.9%
11634 2
 
6.9%
11718 1
 
3.4%
11733 1
 
3.4%
11678 1
 
3.4%
11814 1
 
3.4%
11607 1
 
3.4%
11676 1
 
3.4%
Other values (15) 15
51.7%
ValueCountFrequency (%)
11606 1
3.4%
11607 1
3.4%
11619 1
3.4%
11622 2
6.9%
11624 1
3.4%
11634 2
6.9%
11649 1
3.4%
11659 1
3.4%
11671 1
3.4%
11676 1
3.4%
ValueCountFrequency (%)
11814 1
3.4%
11812 2
6.9%
11809 1
3.4%
11796 1
3.4%
11792 1
3.4%
11780 2
6.9%
11759 1
3.4%
11740 1
3.4%
11733 1
3.4%
11730 1
3.4%

전화번호안내
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:20:53.724520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row031-828-2114
2nd row031-828-4862
3rd row031-828-4022
4th row031-870-6002
5th row031-870-6112
ValueCountFrequency (%)
031-828-2114 1
 
3.4%
031-870-7339 1
 
3.4%
031-828-4580 1
 
3.4%
031-828-8660 1
 
3.4%
031-828-8870 1
 
3.4%
031-828-8711 1
 
3.4%
031-828-8700 1
 
3.4%
031-828-8670 1
 
3.4%
031-870-7118 1
 
3.4%
031-870-7078 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T05:20:54.438864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8 62
17.8%
0 58
16.7%
- 58
16.7%
1 40
11.5%
7 40
11.5%
3 37
10.6%
2 22
 
6.3%
6 16
 
4.6%
4 7
 
2.0%
9 4
 
1.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 62
21.4%
0 58
20.0%
1 40
13.8%
7 40
13.8%
3 37
12.8%
2 22
 
7.6%
6 16
 
5.5%
4 7
 
2.4%
9 4
 
1.4%
5 4
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 62
17.8%
0 58
16.7%
- 58
16.7%
1 40
11.5%
7 40
11.5%
3 37
10.6%
2 22
 
6.3%
6 16
 
4.6%
4 7
 
2.0%
9 4
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8 62
17.8%
0 58
16.7%
- 58
16.7%
1 40
11.5%
7 40
11.5%
3 37
10.6%
2 22
 
6.3%
6 16
 
4.6%
4 7
 
2.0%
9 4
 
1.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-01-01 00:00:00
Maximum2023-01-01 00:00:00
2023-12-13T05:20:54.576030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T05:20:54.663320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T05:20:49.939543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:20:54.756859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분명도로명주소지번주소우편번호전화번호안내
구분명1.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.000
지번주소1.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0001.000
전화번호안내1.0001.0001.0001.0001.000

Missing values

2023-12-13T05:20:50.093302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:20:50.309767image/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

시도명시군구명구분명도로명주소지번주소우편번호전화번호안내데이터기준일자
0경기도의정부시의정부시청경기도 의정부시 시민로 1 (의정부동)경기도 의정부시 의정부동 326-211622031-828-21142023-01-01
1경기도의정부시의정부시청 별관(교통지도과)경기도 의정부시 의정로46번길 25 (의정부동)경기도 의정부시 의정부동 524-511624031-828-48622023-01-01
2경기도의정부시의정부시청 별관(도시농업기술과)경기도 의정부시 시민로416번길 107 (용현동)경기도 의정부시 용현동 490-111796031-828-40222023-01-01
3경기도의정부시보건소경기도 의정부시 범골로 131 (의정부동)경기도 의정부시 의정부동 51611649031-870-60022023-01-01
4경기도의정부시동부보건과경기도 의정부시 민락로 360 (낙양동)경기도 의정부시 낙양동 75011812031-870-61122023-01-01
5경기도의정부시맑은물사업소경기도 의정부시 호국로1049번길 39 (가능동)경기도 의정부시 가능동 590-2411619031-870-62122023-01-01
6경기도의정부시공공하수처리시설경기도 의정부시 장곡로 147 (장암동)경기도 의정부시 장암동 7611717031-870-64122023-01-01
7경기도의정부시자동차관리과(구, 차량등록사업소)경기도 의정부시 체육로 90 (녹양동)경기도 의정부시 녹양동 174-111606031-870-67422023-01-01
8경기도의정부시흥선동 행정복지센터경기도 의정부시 흥선로 20 (가능동)경기도 의정부시 가능동 71111659031-870-68982023-01-01
9경기도의정부시호원2동 행정복지센터경기도 의정부시 신흥로 115 (호원동)경기도 의정부시 호원동 319-211634031-870-72382023-01-01
시도명시군구명구분명도로명주소지번주소우편번호전화번호안내데이터기준일자
19경기도의정부시자금동 주민센터경기도 의정부시 거북로 13 (금오동)경기도 의정부시 금오동 285-5211759031-870-78682023-01-01
20경기도의정부시가능동 주민센터경기도 의정부시 신촌로 35 (가능동)경기도 의정부시 가능동 617-811676031-870-70782023-01-01
21경기도의정부시녹양동 주민센터경기도 의정부시 진등로 21 (녹양동)경기도 의정부시 녹양동 374-611607031-870-71182023-01-01
22경기도의정부시과학도서관경기도 의정부시 추동로124번길 52 (신곡동)경기도 의정부시 신곡동 124-111780031-828-86702023-01-01
23경기도의정부시정보도서관경기도 의정부시 의정로 41 (의정부동)경기도 의정부시 의정부동 326-711622031-828-87002023-01-01
24경기도의정부시영어도서관경기도 의정부시 회룡로 79 (호원동)경기도 의정부시 호원동 319-2511634031-828-87112023-01-01
25경기도의정부시미술도서관경기도 의정부시 민락로 248 (민락동)경기도 의정부시 민락동 85511814031-828-88702023-01-01
26경기도의정부시가재울도서관경기도 의정부시 평화로 633 (가능동)경기도 의정부시 가능동 197-111678031-828-86602023-01-01
27경기도의정부시음악도서관경기도 의정부시 장곡로 280 (신곡동)경기도 의정부시 신곡동 724-111733031-828-45802023-01-01
28경기도의정부시의정부천문대경기도 의정부시 부용로214번길 51-81 (신곡동)경기도 의정부시 신곡동 53-48711780031-828-86562023-01-01