Overview

Dataset statistics

Number of variables12
Number of observations2298
Missing cells756
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory222.3 KiB
Average record size in memory99.1 B

Variable types

Categorical2
Text6
DateTime1
Numeric3

Dataset

Description비영리민간단체(전분야) 현황
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=QZT80FT2H6KK71YGRFLU15263757&infSeq=1

Alerts

기관명 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지우편번호 has 125 (5.4%) missing valuesMissing
소재지도로명주소 has 313 (13.6%) missing valuesMissing
WGS84위도 has 159 (6.9%) missing valuesMissing
WGS84경도 has 159 (6.9%) missing valuesMissing
단체명 has unique valuesUnique

Reproduction

Analysis started2024-03-16 04:18:11.532235
Analysis finished2024-03-16 04:18:20.057830
Duration8.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
수원시
356 
고양시
212 
성남시
170 
안산시
136 
부천시
 
113
Other values (26)
1311 

Length

Max length4
Median length3
Mean length3.0939948
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수원시 356
15.5%
고양시 212
 
9.2%
성남시 170
 
7.4%
안산시 136
 
5.9%
부천시 113
 
4.9%
의정부시 101
 
4.4%
용인시 96
 
4.2%
남양주시 94
 
4.1%
안양시 92
 
4.0%
화성시 87
 
3.8%
Other values (21) 841
36.6%

Length

2024-03-16T04:18:20.280942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수원시 356
15.5%
고양시 212
 
9.2%
성남시 170
 
7.4%
안산시 136
 
5.9%
부천시 113
 
4.9%
의정부시 101
 
4.4%
용인시 96
 
4.2%
남양주시 94
 
4.1%
안양시 92
 
4.0%
화성시 87
 
3.8%
Other values (21) 841
36.6%

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
경기도청
2298 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경기도청 2298
100.0%

Length

2024-03-16T04:18:20.676059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-16T04:18:21.008261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도청 2298
100.0%

담당부서명
Text

Distinct82
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-16T04:18:21.481316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length5
Mean length5.6140122
Min length3

Characters and Unicode

Total characters12901
Distinct characters133
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)0.6%

Sample

1st row행정관리담당관
2nd row산림녹지과
3rd row가족다문화과
4th row기후환경정책과
5th row장애인자립지원과
ValueCountFrequency (%)
자치행정과 330
14.4%
기후환경정책과 279
 
12.1%
행정관리담당관 170
 
7.4%
청소년과 117
 
5.1%
장애인복지과 114
 
5.0%
문화정책과 108
 
4.7%
예술정책과 103
 
4.5%
여성정책과 95
 
4.1%
평생교육과 91
 
4.0%
노인복지과 79
 
3.4%
Other values (72) 813
35.4%
2024-03-16T04:18:22.672086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 2070
 
16.0%
정 1345
 
10.4%
책 803
 
6.2%
행 500
 
3.9%
지 405
 
3.1%
관 398
 
3.1%
자 389
 
3.0%
경 353
 
2.7%
복 342
 
2.7%
기 341
 
2.6%
Other values (123) 5955
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12897
> 99.9%
Uppercase Letter 3
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 2070
 
16.1%
정 1345
 
10.4%
책 803
 
6.2%
행 500
 
3.9%
지 405
 
3.1%
관 398
 
3.1%
자 389
 
3.0%
경 353
 
2.7%
복 342
 
2.7%
기 341
 
2.6%
Other values (119) 5951
46.1%
Uppercase Letter
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12897
> 99.9%
Latin 3
 
< 0.1%
Common 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 2070
 
16.1%
정 1345
 
10.4%
책 803
 
6.2%
행 500
 
3.9%
지 405
 
3.1%
관 398
 
3.1%
자 389
 
3.0%
경 353
 
2.7%
복 342
 
2.7%
기 341
 
2.6%
Other values (119) 5951
46.1%
Latin
ValueCountFrequency (%)
Z 1
33.3%
M 1
33.3%
D 1
33.3%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12897
> 99.9%
ASCII 4
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 2070
 
16.1%
정 1345
 
10.4%
책 803
 
6.2%
행 500
 
3.9%
지 405
 
3.1%
관 398
 
3.1%
자 389
 
3.0%
경 353
 
2.7%
복 342
 
2.7%
기 341
 
2.6%
Other values (119) 5951
46.1%
ASCII
ValueCountFrequency (%)
Z 1
25.0%
M 1
25.0%
D 1
25.0%
1
25.0%

단체명
Text

UNIQUE 

Distinct2298
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-16T04:18:23.293022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length25
Mean length10.839426
Min length2

Characters and Unicode

Total characters24909
Distinct characters605
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2298 ?
Unique (%)100.0%

Sample

1st row가평군자원봉사단체협의회
2nd row가평군산림문화체험사업회
3rd row가평국제문화교류센터
4th row(사)환경보호국민운동본부 가평군지역본부
5th row가평장애인자립생활지원센터
ValueCountFrequency (%)
사단법인 48
 
1.6%
대한적십자사봉사회 14
 
0.5%
경기도지부 12
 
0.4%
청소년 10
 
0.3%
법무부 8
 
0.3%
협의회 8
 
0.3%
녹색어머니회 8
 
0.3%
고양시 8
 
0.3%
행복한 7
 
0.2%
경기도 7
 
0.2%
Other values (2647) 2834
95.6%
2024-03-16T04:18:24.449121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 1268
 
5.1%
사 686
 
2.8%
시 677
 
2.7%
667
 
2.7%
경 639
 
2.6%
지 580
 
2.3%
기 547
 
2.2%
부 525
 
2.1%
연 491
 
2.0%
협 422
 
1.7%
Other values (595) 18407
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23402
93.9%
Space Separator 667
 
2.7%
Uppercase Letter 268
 
1.1%
Close Punctuation 234
 
0.9%
Open Punctuation 154
 
0.6%
Decimal Number 94
 
0.4%
Other Punctuation 54
 
0.2%
Lowercase Letter 33
 
0.1%
Dash Punctuation 2
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 1268
 
5.4%
사 686
 
2.9%
시 677
 
2.9%
경 639
 
2.7%
지 580
 
2.5%
기 547
 
2.3%
부 525
 
2.2%
연 491
 
2.1%
협 422
 
1.8%
의 416
 
1.8%
Other values (534) 17151
73.3%
Uppercase Letter
ValueCountFrequency (%)
A 35
13.1%
C 34
12.7%
Y 33
12.3%
M 20
 
7.5%
O 16
 
6.0%
W 14
 
5.2%
D 13
 
4.9%
B 12
 
4.5%
G 12
 
4.5%
S 12
 
4.5%
Other values (13) 67
25.0%
Lowercase Letter
ValueCountFrequency (%)
i 5
15.2%
o 4
12.1%
h 3
9.1%
t 3
9.1%
u 3
9.1%
n 3
9.1%
s 2
 
6.1%
m 2
 
6.1%
c 2
 
6.1%
g 2
 
6.1%
Other values (4) 4
12.1%
Other Punctuation
ValueCountFrequency (%)
. 28
51.9%
, 9
 
16.7%
? 4
 
7.4%
· 4
 
7.4%
& 2
 
3.7%
/ 2
 
3.7%
" 2
 
3.7%
: 2
 
3.7%
! 1
 
1.9%
Decimal Number
ValueCountFrequency (%)
1 24
25.5%
2 19
20.2%
5 13
13.8%
3 13
13.8%
6 12
12.8%
0 5
 
5.3%
4 4
 
4.3%
9 4
 
4.3%
Close Punctuation
ValueCountFrequency (%)
) 233
99.6%
」 1
 
0.4%
Open Punctuation
ValueCountFrequency (%)
( 153
99.4%
「 1
 
0.6%
Space Separator
ValueCountFrequency (%)
667
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
℃ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23397
93.9%
Common 1206
 
4.8%
Latin 301
 
1.2%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 1268
 
5.4%
사 686
 
2.9%
시 677
 
2.9%
경 639
 
2.7%
지 580
 
2.5%
기 547
 
2.3%
부 525
 
2.2%
연 491
 
2.1%
협 422
 
1.8%
의 416
 
1.8%
Other values (529) 17146
73.3%
Latin
ValueCountFrequency (%)
A 35
 
11.6%
C 34
 
11.3%
Y 33
 
11.0%
M 20
 
6.6%
O 16
 
5.3%
W 14
 
4.7%
D 13
 
4.3%
B 12
 
4.0%
G 12
 
4.0%
S 12
 
4.0%
Other values (27) 100
33.2%
Common
ValueCountFrequency (%)
667
55.3%
) 233
 
19.3%
( 153
 
12.7%
. 28
 
2.3%
1 24
 
2.0%
2 19
 
1.6%
5 13
 
1.1%
3 13
 
1.1%
6 12
 
1.0%
, 9
 
0.7%
Other values (14) 35
 
2.9%
Han
ValueCountFrequency (%)
人 1
20.0%
愛 1
20.0%
老 1
20.0%
道 1
20.0%
弓 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23396
93.9%
ASCII 1500
 
6.0%
None 6
 
< 0.1%
CJK 4
 
< 0.1%
Letterlike Symbols 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 1268
 
5.4%
사 686
 
2.9%
시 677
 
2.9%
경 639
 
2.7%
지 580
 
2.5%
기 547
 
2.3%
부 525
 
2.2%
연 491
 
2.1%
협 422
 
1.8%
의 416
 
1.8%
Other values (528) 17145
73.3%
ASCII
ValueCountFrequency (%)
667
44.5%
) 233
 
15.5%
( 153
 
10.2%
A 35
 
2.3%
C 34
 
2.3%
Y 33
 
2.2%
. 28
 
1.9%
1 24
 
1.6%
M 20
 
1.3%
2 19
 
1.3%
Other values (47) 254
 
16.9%
None
ValueCountFrequency (%)
· 4
66.7%
「 1
 
16.7%
」 1
 
16.7%
Letterlike Symbols
ValueCountFrequency (%)
℃ 1
100.0%
CJK
ValueCountFrequency (%)
人 1
25.0%
愛 1
25.0%
道 1
25.0%
弓 1
25.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
老 1
100.0%

대표자
Text

Distinct2110
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-16T04:18:25.252009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length3
Mean length3.075718
Min length2

Characters and Unicode

Total characters7068
Distinct characters274
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

Unique1957 ?
Unique (%)85.2%

Sample

1st row박득만
2nd row이면유
3rd row고우다 토시요
4th row노영일
5th row김성근
ValueCountFrequency (%)
김경희 5
 
0.2%
외 5
 
0.2%
유명재 4
 
0.2%
김경숙 3
 
0.1%
정선희 3
 
0.1%
이경숙 3
 
0.1%
이은정 3
 
0.1%
전성원 3
 
0.1%
윤한기 3
 
0.1%
유인숙 3
 
0.1%
Other values (2127) 2300
98.5%
2024-03-16T04:18:26.399348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 451
 
6.4%
이 375
 
5.3%
정 255
 
3.6%
영 217
 
3.1%
박 182
 
2.6%
희 136
 
1.9%
숙 127
 
1.8%
경 121
 
1.7%
성 118
 
1.7%
현 116
 
1.6%
Other values (264) 4970
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6988
98.9%
Space Separator 44
 
0.6%
Other Punctuation 19
 
0.3%
Decimal Number 13
 
0.2%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 451
 
6.5%
이 375
 
5.4%
정 255
 
3.6%
영 217
 
3.1%
박 182
 
2.6%
희 136
 
1.9%
숙 127
 
1.8%
경 121
 
1.7%
성 118
 
1.7%
현 116
 
1.7%
Other values (255) 4890
70.0%
Decimal Number
ValueCountFrequency (%)
1 6
46.2%
2 4
30.8%
4 2
 
15.4%
3 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
& 1
 
5.3%
Space Separator
ValueCountFrequency (%)
44
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6988
98.9%
Common 80
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 451
 
6.5%
이 375
 
5.4%
정 255
 
3.6%
영 217
 
3.1%
박 182
 
2.6%
희 136
 
1.9%
숙 127
 
1.8%
경 121
 
1.7%
성 118
 
1.7%
현 116
 
1.7%
Other values (255) 4890
70.0%
Common
ValueCountFrequency (%)
44
55.0%
, 18
22.5%
1 6
 
7.5%
2 4
 
5.0%
4 2
 
2.5%
) 2
 
2.5%
( 2
 
2.5%
3 1
 
1.2%
& 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6988
98.9%
ASCII 80
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 451
 
6.5%
이 375
 
5.4%
정 255
 
3.6%
영 217
 
3.1%
박 182
 
2.6%
희 136
 
1.9%
숙 127
 
1.8%
경 121
 
1.7%
성 118
 
1.7%
현 116
 
1.7%
Other values (255) 4890
70.0%
ASCII
ValueCountFrequency (%)
44
55.0%
, 18
22.5%
1 6
 
7.5%
2 4
 
5.0%
4 2
 
2.5%
) 2
 
2.5%
( 2
 
2.5%
3 1
 
1.2%
& 1
 
1.2%

단체등록일자
Date

Distinct1598
Distinct (%)69.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum2000-05-10 00:00:00
Maximum2024-01-24 00:00:00
2024-03-16T04:18:26.858026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:27.381379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사업내용
Text

Distinct2111
Distinct (%)91.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-16T04:18:28.093682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length258
Median length167
Mean length33.91906
Min length2

Characters and Unicode

Total characters77946
Distinct characters647
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2011 ?
Unique (%)87.5%

Sample

1st row자원봉사단체간 교육,훈련사업등
2nd row산림생태 환경관련 조사연구 및 교육 일자리 창출
3rd row건강한 가정 만들기위한 교육 및 지원활동 국제가족 지원 프로그램, 국제가족 2세 아동 지원 프로그램
4th row환경감시, 환경캠페인, 환경오염방지 등 환경보전 활동
5th row장애인 자립생활 지원 사업 등
ValueCountFrequency (%)
및 1370
 
7.8%
등 846
 
4.8%
위한 541
 
3.1%
사업 410
 
2.3%
교육 267
 
1.5%
활동 195
 
1.1%
청소년 192
 
1.1%
지원 167
 
1.0%
장애인 146
 
0.8%
o 142
 
0.8%
Other values (6244) 13244
75.6%
2024-03-16T04:18:29.410672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15453
 
19.8%
, 2585
 
3.3%
사 2430
 
3.1%
동 1562
 
2.0%
및 1432
 
1.8%
교 1431
 
1.8%
업 1394
 
1.8%
지 1319
 
1.7%
등 1208
 
1.5%
육 1133
 
1.5%
Other values (637) 47999
61.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 59049
75.8%
Space Separator 15453
 
19.8%
Other Punctuation 2867
 
3.7%
Lowercase Letter 159
 
0.2%
Close Punctuation 110
 
0.1%
Open Punctuation 110
 
0.1%
Decimal Number 98
 
0.1%
Uppercase Letter 72
 
0.1%
Initial Punctuation 10
 
< 0.1%
Final Punctuation 10
 
< 0.1%
Other values (2) 8
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 2430
 
4.1%
동 1562
 
2.6%
및 1432
 
2.4%
교 1431
 
2.4%
업 1394
 
2.4%
지 1319
 
2.2%
등 1208
 
2.0%
육 1133
 
1.9%
한 1122
 
1.9%
활 1116
 
1.9%
Other values (581) 44902
76.0%
Uppercase Letter
ValueCountFrequency (%)
M 10
13.9%
I 9
12.5%
L 8
11.1%
T 7
9.7%
E 6
8.3%
C 5
 
6.9%
D 4
 
5.6%
P 4
 
5.6%
A 3
 
4.2%
N 3
 
4.2%
Other values (7) 13
18.1%
Other Punctuation
ValueCountFrequency (%)
, 2585
90.2%
. 98
 
3.4%
· 85
 
3.0%
? 62
 
2.2%
" 16
 
0.6%
/ 14
 
0.5%
: 3
 
0.1%
; 2
 
0.1%
# 1
 
< 0.1%
& 1
 
< 0.1%
Lowercase Letter
ValueCountFrequency (%)
o 142
89.3%
s 4
 
2.5%
b 4
 
2.5%
a 2
 
1.3%
i 2
 
1.3%
c 1
 
0.6%
l 1
 
0.6%
d 1
 
0.6%
e 1
 
0.6%
k 1
 
0.6%
Decimal Number
ValueCountFrequency (%)
1 24
24.5%
2 17
17.3%
4 15
15.3%
3 12
12.2%
6 8
 
8.2%
5 7
 
7.1%
8 5
 
5.1%
7 4
 
4.1%
0 4
 
4.1%
9 2
 
2.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 7
70.0%
“ 3
30.0%
Final Punctuation
ValueCountFrequency (%)
’ 7
70.0%
” 3
30.0%
Space Separator
ValueCountFrequency (%)
15453
100.0%
Close Punctuation
ValueCountFrequency (%)
) 110
100.0%
Open Punctuation
ValueCountFrequency (%)
( 110
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 59044
75.7%
Common 18666
 
23.9%
Latin 231
 
0.3%
Han 5
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 2430
 
4.1%
동 1562
 
2.6%
및 1432
 
2.4%
교 1431
 
2.4%
업 1394
 
2.4%
지 1319
 
2.2%
등 1208
 
2.0%
육 1133
 
1.9%
한 1122
 
1.9%
활 1116
 
1.9%
Other values (577) 44897
76.0%
Common
ValueCountFrequency (%)
15453
82.8%
, 2585
 
13.8%
) 110
 
0.6%
( 110
 
0.6%
. 98
 
0.5%
· 85
 
0.5%
? 62
 
0.3%
1 24
 
0.1%
2 17
 
0.1%
" 16
 
0.1%
Other values (19) 106
 
0.6%
Latin
ValueCountFrequency (%)
o 142
61.5%
M 10
 
4.3%
I 9
 
3.9%
L 8
 
3.5%
T 7
 
3.0%
E 6
 
2.6%
C 5
 
2.2%
D 4
 
1.7%
s 4
 
1.7%
b 4
 
1.7%
Other values (17) 32
 
13.9%
Han
ValueCountFrequency (%)
弓 2
40.0%
諸 1
20.0%
茶 1
20.0%
恨 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 59038
75.7%
ASCII 18792
 
24.1%
None 85
 
0.1%
Punctuation 20
 
< 0.1%
Compat Jamo 6
 
< 0.1%
CJK 4
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15453
82.2%
, 2585
 
13.8%
o 142
 
0.8%
) 110
 
0.6%
( 110
 
0.6%
. 98
 
0.5%
? 62
 
0.3%
1 24
 
0.1%
2 17
 
0.1%
" 16
 
0.1%
Other values (41) 175
 
0.9%
Hangul
ValueCountFrequency (%)
사 2430
 
4.1%
동 1562
 
2.6%
및 1432
 
2.4%
교 1431
 
2.4%
업 1394
 
2.4%
지 1319
 
2.2%
등 1208
 
2.0%
육 1133
 
1.9%
한 1122
 
1.9%
활 1116
 
1.9%
Other values (576) 44891
76.0%
None
ValueCountFrequency (%)
· 85
100.0%
Punctuation
ValueCountFrequency (%)
‘ 7
35.0%
’ 7
35.0%
“ 3
15.0%
” 3
15.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
CJK
ValueCountFrequency (%)
弓 2
50.0%
諸 1
25.0%
恨 1
25.0%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1284
Distinct (%)59.1%
Missing125
Missing (%)5.4%
Infinite0
Infinite (%)0.0%
Mean14155.557
Minimum10002
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-03-16T04:18:29.796983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10002
5-th percentile10367.8
Q111934
median14107
Q316336
95-th percentile18118.4
Maximum18626
Range8624
Interquartile range (IQR)4402

Descriptive statistics

Standard deviation2497.0879
Coefficient of variation (CV)0.17640337
Kurtosis-1.2375233
Mean14155.557
Median Absolute Deviation (MAD)2208
Skewness-0.019421435
Sum30760025
Variance6235447.9
MonotonicityNot monotonic
2024-03-16T04:18:30.248010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10460 13
 
0.6%
16488 12
 
0.5%
16490 12
 
0.5%
15865 11
 
0.5%
16457 9
 
0.4%
14548 9
 
0.4%
14517 8
 
0.3%
16263 8
 
0.3%
16271 8
 
0.3%
16262 8
 
0.3%
Other values (1274) 2075
90.3%
(Missing) 125
 
5.4%
ValueCountFrequency (%)
10002 1
< 0.1%
10016 1
< 0.1%
10019 1
< 0.1%
10020 1
< 0.1%
10023 1
< 0.1%
10025 1
< 0.1%
10032 1
< 0.1%
10038 1
< 0.1%
10046 1
< 0.1%
10056 1
< 0.1%
ValueCountFrequency (%)
18626 1
 
< 0.1%
18603 2
 
0.1%
18598 1
 
< 0.1%
18594 2
 
0.1%
18593 5
0.2%
18591 1
 
< 0.1%
18589 1
 
< 0.1%
18584 1
 
< 0.1%
18574 1
 
< 0.1%
18570 1
 
< 0.1%

소재지지번주소
Text

Distinct2230
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2024-03-16T04:18:30.873252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length44
Mean length25.726284
Min length12

Characters and Unicode

Total characters59119
Distinct characters493
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2177 ?
Unique (%)94.7%

Sample

1st row경기도 가평군 가평읍 읍내리 513번지
2nd row경기도 가평군 상면 덕현리 산74-1
3rd row경기도 가평군 설악면 신천중앙로 132-4, 2층
4th row경기도 가평군 조종면 청군로 1179, 2층
5th row경기도 가평군 가평읍 자라섬로 30
ValueCountFrequency (%)
경기도 2298
 
18.1%
수원시 356
 
2.8%
고양시 214
 
1.7%
성남시 170
 
1.3%
팔달구 149
 
1.2%
안산시 136
 
1.1%
2층 117
 
0.9%
부천시 113
 
0.9%
의정부시 102
 
0.8%
3층 100
 
0.8%
Other values (4229) 8960
70.5%
2024-03-16T04:18:32.298911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10461
 
17.7%
경 2429
 
4.1%
1 2403
 
4.1%
기 2382
 
4.0%
시 2381
 
4.0%
도 2352
 
4.0%
2 1677
 
2.8%
동 1665
 
2.8%
3 1357
 
2.3%
로 1265
 
2.1%
Other values (483) 30747
52.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 34232
57.9%
Decimal Number 11390
 
19.3%
Space Separator 10461
 
17.7%
Dash Punctuation 1024
 
1.7%
Other Punctuation 738
 
1.2%
Open Punctuation 587
 
1.0%
Close Punctuation 586
 
1.0%
Uppercase Letter 87
 
0.1%
Lowercase Letter 10
 
< 0.1%
Math Symbol 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 2429
 
7.1%
기 2382
 
7.0%
시 2381
 
7.0%
도 2352
 
6.9%
동 1665
 
4.9%
로 1265
 
3.7%
구 1172
 
3.4%
원 779
 
2.3%
양 726
 
2.1%
호 667
 
1.9%
Other values (442) 18414
53.8%
Uppercase Letter
ValueCountFrequency (%)
B 41
47.1%
A 13
 
14.9%
C 6
 
6.9%
I 3
 
3.4%
Y 3
 
3.4%
K 3
 
3.4%
D 3
 
3.4%
L 2
 
2.3%
H 2
 
2.3%
F 2
 
2.3%
Other values (8) 9
 
10.3%
Decimal Number
ValueCountFrequency (%)
1 2403
21.1%
2 1677
14.7%
3 1357
11.9%
0 1200
10.5%
4 1062
9.3%
5 965
8.5%
6 803
 
7.1%
7 732
 
6.4%
8 614
 
5.4%
9 577
 
5.1%
Other Punctuation
ValueCountFrequency (%)
, 728
98.6%
/ 4
 
0.5%
. 4
 
0.5%
? 2
 
0.3%
Lowercase Letter
ValueCountFrequency (%)
a 6
60.0%
b 2
 
20.0%
m 1
 
10.0%
e 1
 
10.0%
Space Separator
ValueCountFrequency (%)
10461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1024
100.0%
Open Punctuation
ValueCountFrequency (%)
( 587
100.0%
Close Punctuation
ValueCountFrequency (%)
) 586
100.0%
Math Symbol
ValueCountFrequency (%)
~ 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 34230
57.9%
Common 24790
41.9%
Latin 97
 
0.2%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 2429
 
7.1%
기 2382
 
7.0%
시 2381
 
7.0%
도 2352
 
6.9%
동 1665
 
4.9%
로 1265
 
3.7%
구 1172
 
3.4%
원 779
 
2.3%
양 726
 
2.1%
호 667
 
1.9%
Other values (441) 18412
53.8%
Latin
ValueCountFrequency (%)
B 41
42.3%
A 13
 
13.4%
C 6
 
6.2%
a 6
 
6.2%
I 3
 
3.1%
Y 3
 
3.1%
K 3
 
3.1%
D 3
 
3.1%
L 2
 
2.1%
H 2
 
2.1%
Other values (12) 15
 
15.5%
Common
ValueCountFrequency (%)
10461
42.2%
1 2403
 
9.7%
2 1677
 
6.8%
3 1357
 
5.5%
0 1200
 
4.8%
4 1062
 
4.3%
- 1024
 
4.1%
5 965
 
3.9%
6 803
 
3.2%
7 732
 
3.0%
Other values (9) 3106
 
12.5%
Han
ValueCountFrequency (%)
內 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 34229
57.9%
ASCII 24887
42.1%
CJK 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10461
42.0%
1 2403
 
9.7%
2 1677
 
6.7%
3 1357
 
5.5%
0 1200
 
4.8%
4 1062
 
4.3%
- 1024
 
4.1%
5 965
 
3.9%
6 803
 
3.2%
7 732
 
2.9%
Other values (31) 3203
 
12.9%
Hangul
ValueCountFrequency (%)
경 2429
 
7.1%
기 2382
 
7.0%
시 2381
 
7.0%
도 2352
 
6.9%
동 1665
 
4.9%
로 1265
 
3.7%
구 1172
 
3.4%
원 779
 
2.3%
양 726
 
2.1%
호 667
 
1.9%
Other values (440) 18411
53.8%
CJK
ValueCountFrequency (%)
內 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅗ 1
100.0%

소재지도로명주소
Text

MISSING 

Distinct1683
Distinct (%)84.8%
Missing313
Missing (%)13.6%
Memory size18.1 KiB
2024-03-16T04:18:33.438906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length26
Mean length19.451385
Min length13

Characters and Unicode

Total characters38611
Distinct characters333
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

Unique1485 ?
Unique (%)74.8%

Sample

1st row경기도 가평군 가평읍 석봉로 181
2nd row경기도 가평군 상면 덕현산장길 71
3rd row경기도 가평군 설악면 신천중앙로132번길 4
4th row경기도 가평군 조종면 청군로 1179
5th row경기도 가평군 가평읍 자라섬로 30
ValueCountFrequency (%)
경기도 1985
 
21.5%
수원시 311
 
3.4%
고양시 189
 
2.0%
성남시 158
 
1.7%
팔달구 132
 
1.4%
안산시 125
 
1.4%
부천시 108
 
1.2%
의정부시 90
 
1.0%
장안구 85
 
0.9%
단원구 81
 
0.9%
Other values (2031) 5984
64.7%
2024-03-16T04:18:35.576446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7263
18.8%
경 2094
 
5.4%
기 2036
 
5.3%
시 2024
 
5.2%
도 2017
 
5.2%
로 1855
 
4.8%
1 1518
 
3.9%
구 1088
 
2.8%
2 890
 
2.3%
3 768
 
2.0%
Other values (323) 17058
44.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24134
62.5%
Space Separator 7263
 
18.8%
Decimal Number 6845
 
17.7%
Dash Punctuation 368
 
1.0%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 2094
 
8.7%
기 2036
 
8.4%
시 2024
 
8.4%
도 2017
 
8.4%
로 1855
 
7.7%
구 1088
 
4.5%
길 739
 
3.1%
원 637
 
2.6%
번 593
 
2.5%
양 573
 
2.4%
Other values (310) 10478
43.4%
Decimal Number
ValueCountFrequency (%)
1 1518
22.2%
2 890
13.0%
3 768
11.2%
5 637
9.3%
4 624
9.1%
6 551
 
8.0%
7 523
 
7.6%
0 462
 
6.7%
8 447
 
6.5%
9 425
 
6.2%
Space Separator
ValueCountFrequency (%)
7263
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 368
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24134
62.5%
Common 14477
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 2094
 
8.7%
기 2036
 
8.4%
시 2024
 
8.4%
도 2017
 
8.4%
로 1855
 
7.7%
구 1088
 
4.5%
길 739
 
3.1%
원 637
 
2.6%
번 593
 
2.5%
양 573
 
2.4%
Other values (310) 10478
43.4%
Common
ValueCountFrequency (%)
7263
50.2%
1 1518
 
10.5%
2 890
 
6.1%
3 768
 
5.3%
5 637
 
4.4%
4 624
 
4.3%
6 551
 
3.8%
7 523
 
3.6%
0 462
 
3.2%
8 447
 
3.1%
Other values (3) 794
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24134
62.5%
ASCII 14477
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7263
50.2%
1 1518
 
10.5%
2 890
 
6.1%
3 768
 
5.3%
5 637
 
4.4%
4 624
 
4.3%
6 551
 
3.8%
7 523
 
3.6%
0 462
 
3.2%
8 447
 
3.1%
Other values (3) 794
 
5.5%
Hangul
ValueCountFrequency (%)
경 2094
 
8.7%
기 2036
 
8.4%
시 2024
 
8.4%
도 2017
 
8.4%
로 1855
 
7.7%
구 1088
 
4.5%
길 739
 
3.1%
원 637
 
2.6%
번 593
 
2.5%
양 573
 
2.4%
Other values (310) 10478
43.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1818
Distinct (%)85.0%
Missing159
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean37.444549
Minimum36.936171
Maximum38.106317
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-03-16T04:18:36.083141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.936171
5-th percentile37.121915
Q137.285102
median37.40401
Q337.632688
95-th percentile37.816859
Maximum38.106317
Range1.170146
Interquartile range (IQR)0.34758646

Descriptive statistics

Standard deviation0.21896704
Coefficient of variation (CV)0.0058477683
Kurtosis-0.33127929
Mean37.444549
Median Absolute Deviation (MAD)0.13444977
Skewness0.31366553
Sum80093.89
Variance0.047946567
MonotonicityNot monotonic
2024-03-16T04:18:36.668634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.7324125076 7
 
0.3%
37.5130852193 7
 
0.3%
37.2230139162 6
 
0.3%
37.6576784965 6
 
0.3%
37.3464056067 6
 
0.3%
37.157558807 5
 
0.2%
37.2652009108 5
 
0.2%
37.5009449157 5
 
0.2%
37.4426609108 5
 
0.2%
37.2986043807 5
 
0.2%
Other values (1808) 2082
90.6%
(Missing) 159
 
6.9%
ValueCountFrequency (%)
36.9361705965 1
< 0.1%
36.9467952829 1
< 0.1%
36.9469809642 1
< 0.1%
36.9491613153 1
< 0.1%
36.9497447658 1
< 0.1%
36.9596444968 1
< 0.1%
36.959838202 1
< 0.1%
36.9647616358 1
< 0.1%
36.9789601868 1
< 0.1%
36.9869024301 2
0.1%
ValueCountFrequency (%)
38.1063165987 1
< 0.1%
38.1060777952 1
< 0.1%
38.1040569576 2
0.1%
38.1038913605 1
< 0.1%
38.1023105883 1
< 0.1%
38.0965166652 1
< 0.1%
38.0296194217 1
< 0.1%
38.0296034218 1
< 0.1%
38.0247061968 1
< 0.1%
38.0222210543 1
< 0.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct1818
Distinct (%)85.0%
Missing159
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean127.01193
Minimum126.53591
Maximum127.71603
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2024-03-16T04:18:37.181364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.53591
5-th percentile126.75218
Q1126.83534
median127.01551
Q3127.12926
95-th percentile127.4173
Maximum127.71603
Range1.1801225
Interquartile range (IQR)0.29392187

Descriptive statistics

Standard deviation0.19712526
Coefficient of variation (CV)0.0015520216
Kurtosis0.81391983
Mean127.01193
Median Absolute Deviation (MAD)0.13614807
Skewness0.70596653
Sum271678.52
Variance0.038858367
MonotonicityNot monotonic
2024-03-16T04:18:37.649857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0420108887 7
 
0.3%
126.77484236 7
 
0.3%
127.043677649 6
 
0.3%
126.8314845284 6
 
0.3%
126.7333200886 6
 
0.3%
127.0740850308 5
 
0.2%
127.0279834081 5
 
0.2%
126.773511676 5
 
0.2%
127.1703737277 5
 
0.2%
127.0075553516 5
 
0.2%
Other values (1808) 2082
90.6%
(Missing) 159
 
6.9%
ValueCountFrequency (%)
126.5359107932 1
< 0.1%
126.5560224786 1
< 0.1%
126.5685886008 1
< 0.1%
126.5899500669 1
< 0.1%
126.5901422143 1
< 0.1%
126.59471938 1
< 0.1%
126.5952266596 1
< 0.1%
126.5972585479 1
< 0.1%
126.5976010345 1
< 0.1%
126.6004118592 1
< 0.1%
ValueCountFrequency (%)
127.7160332552 1
< 0.1%
127.6899089477 1
< 0.1%
127.6892880734 1
< 0.1%
127.659948866 1
< 0.1%
127.6590531954 1
< 0.1%
127.6538789343 1
< 0.1%
127.6523382709 1
< 0.1%
127.6474718048 1
< 0.1%
127.6420855775 1
< 0.1%
127.6411406793 1
< 0.1%

Interactions

2024-03-16T04:18:17.521621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:15.353839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:16.320633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:17.820433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:15.654325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:16.594086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:18.152186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:16.006503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-16T04:18:16.938403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-16T04:18:37.961655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명담당부서명소재지우편번호WGS84위도WGS84경도
시군명1.0000.4440.9930.9700.957
담당부서명0.4441.0000.5300.5070.059
소재지우편번호0.9930.5301.0000.9190.875
WGS84위도0.9700.5070.9191.0000.706
WGS84경도0.9570.0590.8750.7061.000
2024-03-16T04:18:38.271631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명
소재지우편번호1.000-0.9240.1710.936
WGS84위도-0.9241.000-0.1630.809
WGS84경도0.171-0.1631.0000.757
시군명0.9360.8090.7571.000

Missing values

2024-03-16T04:18:18.804587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-16T04:18:19.465063image/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.
2024-03-16T04:18:19.844740image/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

시군명기관명담당부서명단체명대표자단체등록일자사업내용소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
0가평군경기도청행정관리담당관가평군자원봉사단체협의회박득만2002-12-23자원봉사단체간 교육,훈련사업등12417경기도 가평군 가평읍 읍내리 513번지경기도 가평군 가평읍 석봉로 18137.831294127.509716
1가평군경기도청산림녹지과가평군산림문화체험사업회이면유2011-04-26산림생태 환경관련 조사연구 및 교육 일자리 창출12446경기도 가평군 상면 덕현리 산74-1경기도 가평군 상면 덕현산장길 7137.754179127.410625
2가평군경기도청가족다문화과가평국제문화교류센터고우다 토시요2015-11-27건강한 가정 만들기위한 교육 및 지원활동 국제가족 지원 프로그램, 국제가족 2세 아동 지원 프로그램12465경기도 가평군 설악면 신천중앙로 132-4, 2층경기도 가평군 설악면 신천중앙로132번길 437.678338127.489476
3가평군경기도청기후환경정책과(사)환경보호국민운동본부 가평군지역본부노영일2001-04-21환경감시, 환경캠페인, 환경오염방지 등 환경보전 활동12438경기도 가평군 조종면 청군로 1179, 2층경기도 가평군 조종면 청군로 117937.810561127.351925
4가평군경기도청장애인자립지원과가평장애인자립생활지원센터김성근2021-12-02장애인 자립생활 지원 사업 등12421경기도 가평군 가평읍 자라섬로 30경기도 가평군 가평읍 자라섬로 3037.820152127.517498
5가평군경기도청행정관리담당관대한적십자사가평군지구협의회원지연2002-06-15인도주의정신에 따른 불우이웃돕기등12413경기도 가평군 가평읍 보납로 7경기도 가평군 가평읍 보납로 737.831321127.511341
6가평군경기도청기후환경정책과가평군중장비환경보전연합회최성열2012-04-12야생동식물보호 및 환경정화활동12449경기도 가평군 청평면 상천리 1134경기도 가평군 청평면 경춘로 123437.767054127.447885
7가평군경기도청행정관리담당관(사)해병대전우회 가평군지부정용준2000-06-03안전관리,재난구조, 자원봉사,자원절약 등12413경기도 가평군 가평읍 읍내리 505-2경기도 가평군 가평읍 보납로 337.831438127.510864
8가평군경기도청행정관리담당관새마을지도자가평군지회이상옥2000-06-07환경보전, 인보협동12451경기도 가평군 청평면 청평리 498-9경기도 가평군 청평면 톳골길 13-137.740991127.420323
9가평군경기도청행정관리담당관(사)가평군새마을회염철교2000-06-07새마을운동, 환경보전, 자원봉사활동, 지역사회복지사업 등12416경기도 가평군 가평읍 문화로 153경기도 가평군 가평읍 문화로 15337.826391127.507852
시군명기관명담당부서명단체명대표자단체등록일자사업내용소재지우편번호소재지지번주소소재지도로명주소WGS84위도WGS84경도
2288화성시경기도청장애인복지과(사)경기재활봉사대정은경2008-01-25재활승마18313경기도 화성시 봉담읍 동화리 425-11경기도 화성시 봉담읍 삼천병마로 129537.221265126.950303
2289화성시경기도청기후환경정책과푸른동탄 가족봉사단조종연2014-08-14시민환경교육 및 봉사활동, 도심하천살리기 및 정화활동 등18434경기도 화성시 동탄반송3길 61(반송동)경기도 화성시 동탄반송3길 6137.211026127.067902
2290화성시경기도청공동체지원과다올공동체센터오현정2020-08-06마을공동체 사업(평생학습, 아이돌봄, 다문화가족 지원 등)18593경기도 화성시 향남읍 평3길 20-1, 3층경기도 화성시 향남읍 평3길 20-137.131743126.908294
2291화성시경기도청도서관정책과화성시작은도서관연합회김미경2020-08-26작은도서관 정보교류 및 소통, 회원교육, 지역주민을 위한 독서진흥 및 문화진흥사업 등18394경기도 화성시 동탄지성로 295, 관리동 2층(기산동)경기도 화성시 동탄지성로 29537.218841127.051029
2292화성시경기도청재난예방과한국재난긴급구조대임영기2014-01-27수난인명구조, 재난재해 예방, 응급조치 및 교육18544경기도 화성시 마도 서길 160 (마도면 백곡리 709번지)경기도 화성시 마도면 마도서길 16037.180541126.737219
2293화성시경기도청평생교육과법인소풍길 맘드림 가족봉사단김영공2020-04-24인재육성 · 양성교육 추진 평생교육을 통한 재능봉사활동 및 협력 봉사 환경정화 캠페인 활동 등18603경기도 화성시 향남읍 행정남로 99-16, 관리동 2층 (향남시범한우물마을휴먼시아6단지아파트)경기도 화성시 향남읍 행정남로 99-1637.124614126.917749
2294화성시경기도청복지정책과화성시사회복지협의회최재명2007-10-25사회복지에 관한 조사, 연구 및 정책 건의<NA>경기도 화성시 태안읍 진안리<NA><NA><NA>
2295화성시경기도청기후환경정책과환경생태보전연합조정형2007-12-28환경문제 교육 홍보 등18261경기도 화성시 남양동 1172-40경기도 화성시 남양읍 남양성지로 11737.207895126.816529
2296화성시경기도청예술정책과한국연예예술단전병찬2009-01-06연예예술 활동 사업18340경기도 화성시 융건로 172번길 17, (배양동)경기도 화성시 융건로172번길 1737.225604126.993455
2297화성시경기도청기후환경정책과(사)전국참전유공자 환경운동본부 화성시지회차천규2008-05-28자연사랑 환경보호 캠페인 전개 등18574경기도 화성시 장안면 석포리 416-1경기도 화성시 장안면 버들로 119737.130054126.839442