Overview

Dataset statistics

Number of variables6
Number of observations270
Missing cells119
Missing cells (%)7.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.8 KiB
Average record size in memory48.5 B

Variable types

Categorical2
Text4

Dataset

Description경기도 문해교육 기관 현황
Author경기도평생교육진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=YSI274Z6KA3PEYCM3KK530836375&infSeq=1

Alerts

학력인정 is highly imbalanced (53.8%)Imbalance
전화번호 has 13 (4.8%) missing valuesMissing
홈페이지 has 106 (39.3%) missing valuesMissing

Reproduction

Analysis started2023-12-10 21:26:54.993756
Analysis finished2023-12-10 21:26:55.545435
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지역명
Categorical

Distinct31
Distinct (%)11.5%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
성남시
44 
시흥시
18 
광명시
 
16
여주시
 
16
남양주시
 
15
Other values (26)
161 

Length

Max length4
Median length3
Mean length3.0851852
Min length3

Unique

Unique3 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 44
16.3%
시흥시 18
 
6.7%
광명시 16
 
5.9%
여주시 16
 
5.9%
남양주시 15
 
5.6%
양평군 14
 
5.2%
용인시 13
 
4.8%
부천시 12
 
4.4%
수원시 12
 
4.4%
포천시 11
 
4.1%
Other values (21) 99
36.7%

Length

2023-12-11T06:26:55.600671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 44
16.3%
시흥시 18
 
6.7%
광명시 16
 
5.9%
여주시 16
 
5.9%
남양주시 15
 
5.6%
양평군 14
 
5.2%
용인시 13
 
4.8%
부천시 12
 
4.4%
수원시 12
 
4.4%
포천시 11
 
4.1%
Other values (21) 99
36.7%

기관명
Text

Distinct267
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T06:26:55.785425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length9.2111111
Min length4

Characters and Unicode

Total characters2487
Distinct characters243
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

Unique266 ?
Unique (%)98.5%

Sample

1st row남양주시노인복지관
2nd row남양주시동부노인복지관
3rd row남양주알찬평생학교
4th row도농동주민자치센터
5th row동부광성문화센터
ValueCountFrequency (%)
마을회관 10
 
3.1%
한글교실 5
 
1.6%
찾아가는 4
 
1.3%
무료 4
 
1.3%
점동면 4
 
1.3%
능서면 3
 
0.9%
파주시 3
 
0.9%
다문화가족지원센터 2
 
0.6%
주민자치위원회 2
 
0.6%
파주한마음교육관(평생교육원 1
 
0.3%
Other values (281) 281
88.1%
2023-12-11T06:26:56.092979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 133
 
5.3%
관 126
 
5.1%
복 111
 
4.5%
회 103
 
4.1%
시 76
 
3.1%
합 57
 
2.3%
교 57
 
2.3%
종 56
 
2.3%
학 56
 
2.3%
터 55
 
2.2%
Other values (233) 1657
66.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2367
95.2%
Space Separator 49
 
2.0%
Decimal Number 34
 
1.4%
Uppercase Letter 14
 
0.6%
Close Punctuation 11
 
0.4%
Open Punctuation 10
 
0.4%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 133
 
5.6%
관 126
 
5.3%
복 111
 
4.7%
회 103
 
4.4%
시 76
 
3.2%
합 57
 
2.4%
교 57
 
2.4%
종 56
 
2.4%
학 56
 
2.4%
터 55
 
2.3%
Other values (216) 1537
64.9%
Decimal Number
ValueCountFrequency (%)
2 16
47.1%
1 9
26.5%
3 5
 
14.7%
4 2
 
5.9%
7 1
 
2.9%
9 1
 
2.9%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
C 3
21.4%
Y 3
21.4%
W 3
21.4%
S 1
 
7.1%
K 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
/ 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2367
95.2%
Common 106
 
4.3%
Latin 14
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 133
 
5.6%
관 126
 
5.3%
복 111
 
4.7%
회 103
 
4.4%
시 76
 
3.2%
합 57
 
2.4%
교 57
 
2.4%
종 56
 
2.4%
학 56
 
2.4%
터 55
 
2.3%
Other values (216) 1537
64.9%
Common
ValueCountFrequency (%)
49
46.2%
2 16
 
15.1%
) 11
 
10.4%
( 10
 
9.4%
1 9
 
8.5%
3 5
 
4.7%
4 2
 
1.9%
, 1
 
0.9%
7 1
 
0.9%
9 1
 
0.9%
Latin
ValueCountFrequency (%)
A 3
21.4%
C 3
21.4%
Y 3
21.4%
W 3
21.4%
S 1
 
7.1%
K 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2367
95.2%
ASCII 120
 
4.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 133
 
5.6%
관 126
 
5.3%
복 111
 
4.7%
회 103
 
4.4%
시 76
 
3.2%
합 57
 
2.4%
교 57
 
2.4%
종 56
 
2.4%
학 56
 
2.4%
터 55
 
2.3%
Other values (216) 1537
64.9%
ASCII
ValueCountFrequency (%)
49
40.8%
2 16
 
13.3%
) 11
 
9.2%
( 10
 
8.3%
1 9
 
7.5%
3 5
 
4.2%
A 3
 
2.5%
C 3
 
2.5%
Y 3
 
2.5%
W 3
 
2.5%
Other values (7) 8
 
6.7%

학력인정
Categorical

IMBALANCE 

Distinct5
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
<NA>
215 
초등지정
25 
초등설치
 
16
초등지정/중학지정
 
12
중학지정
 
2

Length

Max length9
Median length4
Mean length4.2222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row초등지정
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 215
79.6%
초등지정 25
 
9.3%
초등설치 16
 
5.9%
초등지정/중학지정 12
 
4.4%
중학지정 2
 
0.7%

Length

2023-12-11T06:26:56.208568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:26:56.297286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 215
79.6%
초등지정 25
 
9.3%
초등설치 16
 
5.9%
초등지정/중학지정 12
 
4.4%
중학지정 2
 
0.7%

전화번호
Text

MISSING 

Distinct234
Distinct (%)91.1%
Missing13
Missing (%)4.8%
Memory size2.2 KiB
2023-12-11T06:26:56.521260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length12.089494
Min length11

Characters and Unicode

Total characters3107
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique230 ?
Unique (%)89.5%

Sample

1st row031-573-6598
2nd row031-559-5880
3rd row031-571-0953
4th row031-557-4380
5th row031-576-9191
ValueCountFrequency (%)
031-887-3324 13
 
5.1%
031-770-3772 7
 
2.7%
031-580-4677 4
 
1.6%
031-980-5152 3
 
1.2%
031-916-4071 1
 
0.4%
031-635-0195 1
 
0.4%
031-631-2260 1
 
0.4%
031-644-4343 1
 
0.4%
031-642-7942 1
 
0.4%
031-954-0200 1
 
0.4%
Other values (224) 224
87.2%
2023-12-11T06:26:56.884177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 514
16.5%
0 486
15.6%
3 445
14.3%
1 378
12.2%
7 236
7.6%
2 229
7.4%
4 188
 
6.1%
5 180
 
5.8%
8 164
 
5.3%
6 141
 
4.5%
Other values (3) 146
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2587
83.3%
Dash Punctuation 514
 
16.5%
Math Symbol 3
 
0.1%
Other Punctuation 3
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 486
18.8%
3 445
17.2%
1 378
14.6%
7 236
9.1%
2 229
8.9%
4 188
 
7.3%
5 180
 
7.0%
8 164
 
6.3%
6 141
 
5.5%
9 140
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 514
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3107
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 514
16.5%
0 486
15.6%
3 445
14.3%
1 378
12.2%
7 236
7.6%
2 229
7.4%
4 188
 
6.1%
5 180
 
5.8%
8 164
 
5.3%
6 141
 
4.5%
Other values (3) 146
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3107
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 514
16.5%
0 486
15.6%
3 445
14.3%
1 378
12.2%
7 236
7.6%
2 229
7.4%
4 188
 
6.1%
5 180
 
5.8%
8 164
 
5.3%
6 141
 
4.5%
Other values (3) 146
 
4.7%

주소
Text

Distinct265
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T06:26:57.189951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length42
Mean length28.985185
Min length11

Characters and Unicode

Total characters7826
Distinct characters249
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)97.0%

Sample

1st row[12129]경기도 남양주시 진건읍 진건오남로 359 남양주시노인복지관
2nd row[12031]경기도 남양주시 수동면 비룡로 801-47
3rd row[12125]경기도 남양주시 퇴계원면 경춘북로613번길 15, 107동 1302호
4th row[12252]경기 남양주시 도농동 미금로 93
5th row[12772]경기도 남양주시 와부읍 수레로 92
ValueCountFrequency (%)
성남시 44
 
3.1%
중원구 18
 
1.3%
시흥시 18
 
1.3%
수정구 18
 
1.3%
3층 16
 
1.1%
광명시 15
 
1.1%
남양주시 15
 
1.1%
여주시 15
 
1.1%
용인시 14
 
1.0%
양평군 14
 
1.0%
Other values (872) 1216
86.7%
2023-12-11T06:26:57.587046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1134
 
14.5%
1 573
 
7.3%
시 287
 
3.7%
2 278
 
3.6%
경 278
 
3.6%
기 273
 
3.5%
3 272
 
3.5%
[ 266
 
3.4%
] 265
 
3.4%
도 248
 
3.2%
Other values (239) 3952
50.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3741
47.8%
Decimal Number 2301
29.4%
Space Separator 1134
 
14.5%
Open Punctuation 283
 
3.6%
Close Punctuation 283
 
3.6%
Dash Punctuation 50
 
0.6%
Other Punctuation 30
 
0.4%
Uppercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 287
 
7.7%
경 278
 
7.4%
기 273
 
7.3%
도 248
 
6.6%
로 234
 
6.3%
길 111
 
3.0%
구 97
 
2.6%
남 95
 
2.5%
번 83
 
2.2%
성 78
 
2.1%
Other values (218) 1957
52.3%
Decimal Number
ValueCountFrequency (%)
1 573
24.9%
2 278
12.1%
3 272
11.8%
4 215
 
9.3%
5 191
 
8.3%
0 189
 
8.2%
6 180
 
7.8%
7 159
 
6.9%
9 130
 
5.6%
8 114
 
5.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
A 1
25.0%
Open Punctuation
ValueCountFrequency (%)
[ 266
94.0%
( 17
 
6.0%
Close Punctuation
ValueCountFrequency (%)
] 265
93.6%
) 18
 
6.4%
Other Punctuation
ValueCountFrequency (%)
, 29
96.7%
/ 1
 
3.3%
Space Separator
ValueCountFrequency (%)
1134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4081
52.1%
Hangul 3741
47.8%
Latin 4
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 287
 
7.7%
경 278
 
7.4%
기 273
 
7.3%
도 248
 
6.6%
로 234
 
6.3%
길 111
 
3.0%
구 97
 
2.6%
남 95
 
2.5%
번 83
 
2.2%
성 78
 
2.1%
Other values (218) 1957
52.3%
Common
ValueCountFrequency (%)
1134
27.8%
1 573
14.0%
2 278
 
6.8%
3 272
 
6.7%
[ 266
 
6.5%
] 265
 
6.5%
4 215
 
5.3%
5 191
 
4.7%
0 189
 
4.6%
6 180
 
4.4%
Other values (8) 518
12.7%
Latin
ValueCountFrequency (%)
B 2
50.0%
C 1
25.0%
A 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4085
52.2%
Hangul 3741
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1134
27.8%
1 573
14.0%
2 278
 
6.8%
3 272
 
6.7%
[ 266
 
6.5%
] 265
 
6.5%
4 215
 
5.3%
5 191
 
4.7%
0 189
 
4.6%
6 180
 
4.4%
Other values (11) 522
12.8%
Hangul
ValueCountFrequency (%)
시 287
 
7.7%
경 278
 
7.4%
기 273
 
7.3%
도 248
 
6.6%
로 234
 
6.3%
길 111
 
3.0%
구 97
 
2.6%
남 95
 
2.5%
번 83
 
2.2%
성 78
 
2.1%
Other values (218) 1957
52.3%

홈페이지
Text

MISSING 

Distinct147
Distinct (%)89.6%
Missing106
Missing (%)39.3%
Memory size2.2 KiB
2023-12-11T06:26:57.782577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length34.5
Mean length24.47561
Min length9

Characters and Unicode

Total characters4014
Distinct characters49
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique143 ?
Unique (%)87.2%

Sample

1st rowhttp://nyjsw.or.kr/
2nd rowhttp://www.dongbusenior.or.kr/
3rd rowhttp://www.nyj.go.kr/town/donong/
4th rowhttp://www.dbks.ch/
5th rowhttp://mhdasarang.or.kr/
ValueCountFrequency (%)
http://lll.yp21.net 12
 
7.3%
http://www.gjcity.go.kr/edu 5
 
3.0%
http://www.nyj.go.kr/town/jingun 2
 
1.2%
http://shsenior.or.kr 2
 
1.2%
http://lll.paju.go.kr 1
 
0.6%
http://cafe.daum.net/nwpeace 1
 
0.6%
http://nyjsw.or.kr 1
 
0.6%
http://www.icheonlll.go.kr 1
 
0.6%
http://www.kmfsa.co.kr 1
 
0.6%
http://paju.familynet.or.kr 1
 
0.6%
Other values (137) 137
83.5%
2023-12-11T06:26:58.111994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 419
 
10.4%
/ 384
 
9.6%
w 338
 
8.4%
t 307
 
7.6%
r 241
 
6.0%
o 239
 
6.0%
n 196
 
4.9%
h 194
 
4.8%
p 171
 
4.3%
e 165
 
4.1%
Other values (39) 1360
33.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3006
74.9%
Other Punctuation 935
 
23.3%
Decimal Number 51
 
1.3%
Other Letter 11
 
0.3%
Connector Punctuation 5
 
0.1%
Dash Punctuation 3
 
0.1%
Math Symbol 2
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 338
 
11.2%
t 307
 
10.2%
r 241
 
8.0%
o 239
 
8.0%
n 196
 
6.5%
h 194
 
6.5%
p 171
 
5.7%
e 165
 
5.5%
g 140
 
4.7%
k 138
 
4.6%
Other values (14) 877
29.2%
Other Letter
ValueCountFrequency (%)
회 2
18.2%
구 1
9.1%
리 1
9.1%
지 1
9.1%
역 1
9.1%
사 1
9.1%
교 1
9.1%
육 1
9.1%
협 1
9.1%
의 1
9.1%
Decimal Number
ValueCountFrequency (%)
1 17
33.3%
2 15
29.4%
4 8
15.7%
0 5
 
9.8%
9 4
 
7.8%
6 1
 
2.0%
7 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 419
44.8%
/ 384
41.1%
: 130
 
13.9%
? 2
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
= 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 3007
74.9%
Common 996
 
24.8%
Hangul 11
 
0.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 338
 
11.2%
t 307
 
10.2%
r 241
 
8.0%
o 239
 
7.9%
n 196
 
6.5%
h 194
 
6.5%
p 171
 
5.7%
e 165
 
5.5%
g 140
 
4.7%
k 138
 
4.6%
Other values (15) 878
29.2%
Common
ValueCountFrequency (%)
. 419
42.1%
/ 384
38.6%
: 130
 
13.1%
1 17
 
1.7%
2 15
 
1.5%
4 8
 
0.8%
_ 5
 
0.5%
0 5
 
0.5%
9 4
 
0.4%
- 3
 
0.3%
Other values (4) 6
 
0.6%
Hangul
ValueCountFrequency (%)
회 2
18.2%
구 1
9.1%
리 1
9.1%
지 1
9.1%
역 1
9.1%
사 1
9.1%
교 1
9.1%
육 1
9.1%
협 1
9.1%
의 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4003
99.7%
Hangul 11
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 419
 
10.5%
/ 384
 
9.6%
w 338
 
8.4%
t 307
 
7.7%
r 241
 
6.0%
o 239
 
6.0%
n 196
 
4.9%
h 194
 
4.8%
p 171
 
4.3%
e 165
 
4.1%
Other values (29) 1349
33.7%
Hangul
ValueCountFrequency (%)
회 2
18.2%
구 1
9.1%
리 1
9.1%
지 1
9.1%
역 1
9.1%
사 1
9.1%
교 1
9.1%
육 1
9.1%
협 1
9.1%
의 1
9.1%

Correlations

2023-12-11T06:26:58.196258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명학력인정
지역명1.0000.000
학력인정0.0001.000
2023-12-11T06:26:58.277159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
학력인정지역명
학력인정1.0000.000
지역명0.0001.000
2023-12-11T06:26:58.342770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역명학력인정
지역명1.0000.000
학력인정0.0001.000

Missing values

2023-12-11T06:26:55.338624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:26:55.423444image/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.
2023-12-11T06:26:55.500590image/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

지역명기관명학력인정전화번호주소홈페이지
0남양주시남양주시노인복지관<NA>031-573-6598[12129]경기도 남양주시 진건읍 진건오남로 359 남양주시노인복지관http://nyjsw.or.kr/
1남양주시남양주시동부노인복지관초등지정031-559-5880[12031]경기도 남양주시 수동면 비룡로 801-47http://www.dongbusenior.or.kr/
2남양주시남양주알찬평생학교<NA>031-571-0953[12125]경기도 남양주시 퇴계원면 경춘북로613번길 15, 107동 1302호<NA>
3남양주시도농동주민자치센터<NA>031-557-4380[12252]경기 남양주시 도농동 미금로 93http://www.nyj.go.kr/town/donong/
4남양주시동부광성문화센터<NA>031-576-9191[12772]경기도 남양주시 와부읍 수레로 92http://www.dbks.ch/
5남양주시묵현다사랑문화센터<NA>031-511-2283[12169]경기도 남양주시 화도읍 먹갓로27번길 19-17http://mhdasarang.or.kr/
6남양주시별내동주민자치센터<NA>031-527-8554[12112]경기도 남양주시 별내동 별내3로 64-21http://www.nyj.go.kr/town/byeollae_dong/
7남양주시송라초등학교초등설치031-595-9274[12174]경기도 남양주시 화도읍 마석로 46번길 33 남양주 송라초등학교http://nyjsongla.es.kr/
8남양주시오남읍주민자치센터<NA>031-590-2625[12036]경기도 남양주시 오남읍 진건오남로 806-34http://www.nyj.go.kr/town/onam/
9남양주시와부읍주민자치위원회<NA>031-521-6801[12212]경기도 남양주시 와부읍 월문천로 35번지http://www.nyj.go.kr/town/jingun/
지역명기관명학력인정전화번호주소홈페이지
260수원시수원제일평생학교초등지정/중학지정070-5001-5154[16464]경기도 수원시 팔달구 매산로104번길 38, 3층 수원제일평생학교<NA>
261수원시장안구민회관초등지정031-240-3000[16295]경기도 수원시 장안구 송원로 101, 장안구민회관<NA>
262수원시지동초등학교초등설치031-244-9401[16246]경기도 수원시 팔달구 중부대로 67<NA>
263안성시내혜홀초등학교<NA>031-671-1082[17582]경기도 안성시 내혜홀3길 29<NA>
264안양시안양시민대학초등지정/중학지정031-444-7811[13995]경기도 안양시 만안구 만안로 189-1<NA>
265안양시안양시민학교초등지정031-465-3690~1[14092]경기도 안양시 만안구 안양로 151-1 2층<NA>
266오산시가수초등학교초등설치031-377-8563[18125]경기도 오산시 가수로 50<NA>
267용인시정평초등학교초등설치031-266-0172[16840]경기도 용인시 수지구 정평로 64<NA>
268파주시파주시 교육문화회관초등지정031-942-7097[10914]경기도 파주시 번영로 55 새꽃마을 102동 603호<NA>
269오산시오산시청지자체직영초등지정/중학지정031-8036-7542[18132]경기도 오산시 성호대로 141<NA>