Overview

Dataset statistics

Number of variables15
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory132.1 B

Variable types

Text7
Numeric6
Categorical1
DateTime1

Dataset

Description장애인 단기거주시설 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=DVPUBY0S8NSIO75ASMQ125765624&infSeq=1

Alerts

소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
종사자정원수(명) is highly overall correlated with 종사자현원수(명)High correlation
종사자현원수(명) is highly overall correlated with 종사자정원수(명)High correlation
입소정원수(명) is highly overall correlated with 소재지우편번호High correlation
기관명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
전화번호 has unique valuesUnique
설치신고일 has unique valuesUnique
법인명 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:17:18.331718
Analysis finished2024-03-12 23:17:21.436440
Duration3.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct20
Distinct (%)76.9%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:21.530671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.1153846
Min length3

Characters and Unicode

Total characters81
Distinct characters28
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)57.7%

Sample

1st row고양시
2nd row고양시
3rd row고양시
4th row광주시
5th row광주시
ValueCountFrequency (%)
고양시 3
 
11.5%
양평군 2
 
7.7%
안산시 2
 
7.7%
광주시 2
 
7.7%
이천시 2
 
7.7%
남양주시 1
 
3.8%
동두천시 1
 
3.8%
부천시 1
 
3.8%
성남시 1
 
3.8%
수원시 1
 
3.8%
Other values (10) 10
38.5%
2024-03-13T08:17:21.757745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 25
30.9%
양 7
 
8.6%
주 5
 
6.2%
천 4
 
4.9%
고 3
 
3.7%
안 3
 
3.7%
남 3
 
3.7%
군 3
 
3.7%
평 3
 
3.7%
광 2
 
2.5%
Other values (18) 23
28.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 81
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 25
30.9%
양 7
 
8.6%
주 5
 
6.2%
천 4
 
4.9%
고 3
 
3.7%
안 3
 
3.7%
남 3
 
3.7%
군 3
 
3.7%
평 3
 
3.7%
광 2
 
2.5%
Other values (18) 23
28.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 25
30.9%
양 7
 
8.6%
주 5
 
6.2%
천 4
 
4.9%
고 3
 
3.7%
안 3
 
3.7%
남 3
 
3.7%
군 3
 
3.7%
평 3
 
3.7%
광 2
 
2.5%
Other values (18) 23
28.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 81
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 25
30.9%
양 7
 
8.6%
주 5
 
6.2%
천 4
 
4.9%
고 3
 
3.7%
안 3
 
3.7%
남 3
 
3.7%
군 3
 
3.7%
평 3
 
3.7%
광 2
 
2.5%
Other values (18) 23
28.4%

기관명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:21.933206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length12.5
Mean length11.153846
Min length4

Characters and Unicode

Total characters290
Distinct characters81
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

Unique26 ?
Unique (%)100.0%

Sample

1st row고양시장애인주간보호센터 부설단기보호시설
2nd row나너우리센터
3rd row우림누리
4th row광주시장애인단기보호시설
5th row광주시장애인단기보호시설(북부권)
ValueCountFrequency (%)
고양시장애인주간보호센터 1
 
3.0%
빛과둥지장애인단기보호센터 1
 
3.0%
느티나무마을 1
 
3.0%
합정장애인단기보호센터 1
 
3.0%
빛 1
 
3.0%
사랑의 1
 
3.0%
효양동산 1
 
3.0%
이천시장애인단기보호센터 1
 
3.0%
엘리엘동산단기보호센터 1
 
3.0%
곰두리네집 1
 
3.0%
Other values (23) 23
69.7%
2024-03-13T08:17:22.214233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 19
 
6.6%
단 19
 
6.6%
보 19
 
6.6%
호 18
 
6.2%
시 16
 
5.5%
애 14
 
4.8%
장 13
 
4.5%
인 13
 
4.5%
센 12
 
4.1%
터 12
 
4.1%
Other values (71) 135
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 281
96.9%
Space Separator 7
 
2.4%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 19
 
6.8%
단 19
 
6.8%
보 19
 
6.8%
호 18
 
6.4%
시 16
 
5.7%
애 14
 
5.0%
장 13
 
4.6%
인 13
 
4.6%
센 12
 
4.3%
터 12
 
4.3%
Other values (68) 126
44.8%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 281
96.9%
Common 9
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 19
 
6.8%
단 19
 
6.8%
보 19
 
6.8%
호 18
 
6.4%
시 16
 
5.7%
애 14
 
5.0%
장 13
 
4.6%
인 13
 
4.6%
센 12
 
4.3%
터 12
 
4.3%
Other values (68) 126
44.8%
Common
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 281
96.9%
ASCII 9
 
3.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 19
 
6.8%
단 19
 
6.8%
보 19
 
6.8%
호 18
 
6.4%
시 16
 
5.7%
애 14
 
5.0%
장 13
 
4.6%
인 13
 
4.6%
센 12
 
4.3%
터 12
 
4.3%
Other values (68) 126
44.8%
ASCII
ValueCountFrequency (%)
7
77.8%
( 1
 
11.1%
) 1
 
11.1%

소재지지번주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:22.417306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24.5
Mean length22.153846
Min length16

Characters and Unicode

Total characters576
Distinct characters96
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산서구 일산동 627-4번지
2nd row경기도 고양시 일산동구 설문동 31-12번지
3rd row경기도 고양시 일산동구 성석동 992-4번지
4th row경기도 광주시 곤지암읍 연곡리 80-2번지
5th row경기도 광주시 탄벌동 674-1번지
ValueCountFrequency (%)
경기도 26
 
21.3%
고양시 3
 
2.5%
광주시 2
 
1.6%
안산시 2
 
1.6%
양평군 2
 
1.6%
이천시 2
 
1.6%
상록구 2
 
1.6%
일산동구 2
 
1.6%
덕풍동 1
 
0.8%
세종대왕면 1
 
0.8%
Other values (79) 79
64.8%
2024-03-13T08:17:22.720901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
96
 
16.7%
지 27
 
4.7%
경 26
 
4.5%
번 26
 
4.5%
기 26
 
4.5%
도 26
 
4.5%
시 25
 
4.3%
동 23
 
4.0%
- 23
 
4.0%
1 17
 
3.0%
Other values (86) 261
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 353
61.3%
Decimal Number 104
 
18.1%
Space Separator 96
 
16.7%
Dash Punctuation 23
 
4.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 27
 
7.6%
경 26
 
7.4%
번 26
 
7.4%
기 26
 
7.4%
도 26
 
7.4%
시 25
 
7.1%
동 23
 
6.5%
구 9
 
2.5%
양 9
 
2.5%
리 8
 
2.3%
Other values (74) 148
41.9%
Decimal Number
ValueCountFrequency (%)
1 17
16.3%
4 14
13.5%
2 14
13.5%
6 11
10.6%
5 10
9.6%
3 10
9.6%
8 8
7.7%
7 8
7.7%
0 7
6.7%
9 5
 
4.8%
Space Separator
ValueCountFrequency (%)
96
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 353
61.3%
Common 223
38.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 27
 
7.6%
경 26
 
7.4%
번 26
 
7.4%
기 26
 
7.4%
도 26
 
7.4%
시 25
 
7.1%
동 23
 
6.5%
구 9
 
2.5%
양 9
 
2.5%
리 8
 
2.3%
Other values (74) 148
41.9%
Common
ValueCountFrequency (%)
96
43.0%
- 23
 
10.3%
1 17
 
7.6%
4 14
 
6.3%
2 14
 
6.3%
6 11
 
4.9%
5 10
 
4.5%
3 10
 
4.5%
8 8
 
3.6%
7 8
 
3.6%
Other values (2) 12
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 353
61.3%
ASCII 223
38.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
96
43.0%
- 23
 
10.3%
1 17
 
7.6%
4 14
 
6.3%
2 14
 
6.3%
6 11
 
4.9%
5 10
 
4.5%
3 10
 
4.5%
8 8
 
3.6%
7 8
 
3.6%
Other values (2) 12
 
5.4%
Hangul
ValueCountFrequency (%)
지 27
 
7.6%
경 26
 
7.4%
번 26
 
7.4%
기 26
 
7.4%
도 26
 
7.4%
시 25
 
7.1%
동 23
 
6.5%
구 9
 
2.5%
양 9
 
2.5%
리 8
 
2.3%
Other values (74) 148
41.9%

소재지도로명주소
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:22.922498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length25
Mean length20.269231
Min length14

Characters and Unicode

Total characters527
Distinct characters102
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

Unique26 ?
Unique (%)100.0%

Sample

1st row경기도 고양시 일산서구 고양대로672번길 15-7
2nd row경기도 고양시 일산동구 문원길170번길 103-33
3rd row경기도 고양시 일산동구 성현로93번길 25-19
4th row경기도 광주시 곤지암읍 광여로 555-40
5th row경기도 광주시 사기막길95번길 59
ValueCountFrequency (%)
경기도 26
 
21.5%
고양시 3
 
2.5%
광주시 2
 
1.7%
이천시 2
 
1.7%
양평군 2
 
1.7%
상록구 2
 
1.7%
안산시 2
 
1.7%
일산동구 2
 
1.7%
103-33 1
 
0.8%
옥천면 1
 
0.8%
Other values (78) 78
64.5%
2024-03-13T08:17:23.230341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
95
 
18.0%
기 27
 
5.1%
경 26
 
4.9%
도 26
 
4.9%
시 25
 
4.7%
로 20
 
3.8%
길 17
 
3.2%
5 16
 
3.0%
1 16
 
3.0%
4 12
 
2.3%
Other values (92) 247
46.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 326
61.9%
Decimal Number 98
 
18.6%
Space Separator 95
 
18.0%
Dash Punctuation 8
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
시 25
 
7.7%
로 20
 
6.1%
길 17
 
5.2%
번 11
 
3.4%
구 9
 
2.8%
양 8
 
2.5%
주 6
 
1.8%
Other values (80) 151
46.3%
Decimal Number
ValueCountFrequency (%)
5 16
16.3%
1 16
16.3%
4 12
12.2%
2 11
11.2%
3 9
9.2%
9 9
9.2%
6 8
8.2%
0 7
7.1%
7 5
 
5.1%
8 5
 
5.1%
Space Separator
ValueCountFrequency (%)
95
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 326
61.9%
Common 201
38.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
시 25
 
7.7%
로 20
 
6.1%
길 17
 
5.2%
번 11
 
3.4%
구 9
 
2.8%
양 8
 
2.5%
주 6
 
1.8%
Other values (80) 151
46.3%
Common
ValueCountFrequency (%)
95
47.3%
5 16
 
8.0%
1 16
 
8.0%
4 12
 
6.0%
2 11
 
5.5%
3 9
 
4.5%
9 9
 
4.5%
6 8
 
4.0%
- 8
 
4.0%
0 7
 
3.5%
Other values (2) 10
 
5.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 326
61.9%
ASCII 201
38.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
95
47.3%
5 16
 
8.0%
1 16
 
8.0%
4 12
 
6.0%
2 11
 
5.5%
3 9
 
4.5%
9 9
 
4.5%
6 8
 
4.0%
- 8
 
4.0%
0 7
 
3.5%
Other values (2) 10
 
5.0%
Hangul
ValueCountFrequency (%)
기 27
 
8.3%
경 26
 
8.0%
도 26
 
8.0%
시 25
 
7.7%
로 20
 
6.1%
길 17
 
5.2%
번 11
 
3.4%
구 9
 
2.8%
양 8
 
2.5%
주 6
 
1.8%
Other values (80) 151
46.3%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13597.154
Minimum10118
Maximum18336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:23.330589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10118
5-th percentile10251
Q111711.75
median12842
Q315448
95-th percentile17782
Maximum18336
Range8218
Interquartile range (IQR)3736.25

Descriptive statistics

Standard deviation2532.212
Coefficient of variation (CV)0.18623103
Kurtosis-0.96243352
Mean13597.154
Median Absolute Deviation (MAD)2049
Skewness0.36806853
Sum353526
Variance6412097.6
MonotonicityNot monotonic
2024-03-13T08:17:23.415093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
10353 1
 
3.8%
15307 1
 
3.8%
18336 1
 
3.8%
12936 1
 
3.8%
17915 1
 
3.8%
10849 1
 
3.8%
17321 1
 
3.8%
17383 1
 
3.8%
11606 1
 
3.8%
12643 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
10118 1
3.8%
10250 1
3.8%
10254 1
3.8%
10353 1
3.8%
10849 1
3.8%
11338 1
3.8%
11606 1
3.8%
12029 1
3.8%
12505 1
3.8%
12530 1
3.8%
ValueCountFrequency (%)
18336 1
3.8%
17915 1
3.8%
17383 1
3.8%
17321 1
3.8%
16227 1
3.8%
15875 1
3.8%
15495 1
3.8%
15307 1
3.8%
14947 1
3.8%
14544 1
3.8%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.474366
Minimum36.986902
Maximum37.907102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:23.501633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.986902
5-th percentile37.184211
Q137.313879
median37.440243
Q337.664008
95-th percentile37.75793
Maximum37.907102
Range0.92019918
Interquartile range (IQR)0.3501282

Descriptive statistics

Standard deviation0.21628071
Coefficient of variation (CV)0.0057714309
Kurtosis-0.27932449
Mean37.474366
Median Absolute Deviation (MAD)0.14249458
Skewness-0.018874115
Sum974.33352
Variance0.046777347
MonotonicityNot monotonic
2024-03-13T08:17:23.607294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
37.68345648 1
 
3.8%
37.3319218 1
 
3.8%
37.15431202 1
 
3.8%
37.54740159 1
 
3.8%
36.98690243 1
 
3.8%
37.75461073 1
 
3.8%
37.28432754 1
 
3.8%
37.27390865 1
 
3.8%
37.7590369 1
 
3.8%
37.29975918 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
36.98690243 1
3.8%
37.15431202 1
3.8%
37.27390865 1
3.8%
37.28432754 1
3.8%
37.2957382 1
3.8%
37.29975918 1
3.8%
37.30786531 1
3.8%
37.3319218 1
3.8%
37.34611248 1
3.8%
37.37122538 1
3.8%
ValueCountFrequency (%)
37.90710161 1
3.8%
37.7590369 1
3.8%
37.75461073 1
3.8%
37.72325784 1
3.8%
37.7209407 1
3.8%
37.70834246 1
3.8%
37.68345648 1
3.8%
37.60566111 1
3.8%
37.55585701 1
3.8%
37.54740159 1
3.8%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.08287
Minimum126.70995
Maximum127.71106
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:23.722664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.70995
5-th percentile126.75487
Q1126.82867
median127.03393
Q3127.29258
95-th percentile127.58758
Maximum127.71106
Range1.0011033
Interquartile range (IQR)0.46390375

Descriptive statistics

Standard deviation0.29189498
Coefficient of variation (CV)0.0022968869
Kurtosis-0.70589877
Mean127.08287
Median Absolute Deviation (MAD)0.22551905
Skewness0.61499408
Sum3304.1545
Variance0.085202677
MonotonicityNot monotonic
2024-03-13T08:17:23.824935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
126.7711281 1
 
3.8%
126.8684815 1
 
3.8%
126.9486083 1
 
3.8%
127.2045888 1
 
3.8%
127.1031083 1
 
3.8%
126.7834793 1
 
3.8%
127.4958754 1
 
3.8%
127.3872988 1
 
3.8%
127.0317061 1
 
3.8%
127.6181488 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
126.709955 1
3.8%
126.7494551 1
3.8%
126.7711281 1
3.8%
126.7757998 1
3.8%
126.7834793 1
3.8%
126.7961242 1
3.8%
126.8207076 1
3.8%
126.8525765 1
3.8%
126.8684815 1
3.8%
126.9272291 1
3.8%
ValueCountFrequency (%)
127.7110583 1
3.8%
127.6181488 1
3.8%
127.4958754 1
3.8%
127.4566521 1
3.8%
127.3955746 1
3.8%
127.3872988 1
3.8%
127.3148516 1
3.8%
127.2257595 1
3.8%
127.2045888 1
3.8%
127.1799009 1
3.8%

전화번호
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:23.974565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.038462
Min length12

Characters and Unicode

Total characters313
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

Unique26 ?
Unique (%)100.0%

Sample

1st row031-977-6723
2nd row031-968-4180
3rd row031-919-3485
4th row031-762-8532
5th row031-768-9400
ValueCountFrequency (%)
031-977-6723 1
 
3.8%
031-968-4180 1
 
3.8%
031-796-0005 1
 
3.8%
031-618-7300 1
 
3.8%
031-957-2605 1
 
3.8%
031-633-8874 1
 
3.8%
031-8011-2114 1
 
3.8%
031-829-8293 1
 
3.8%
031-884-7887 1
 
3.8%
031-773-1346 1
 
3.8%
Other values (16) 16
61.5%
2024-03-13T08:17:24.242351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 52
16.6%
0 47
15.0%
3 46
14.7%
1 42
13.4%
9 22
7.0%
7 21
6.7%
8 20
 
6.4%
5 18
 
5.8%
6 17
 
5.4%
4 16
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 261
83.4%
Dash Punctuation 52
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 47
18.0%
3 46
17.6%
1 42
16.1%
9 22
8.4%
7 21
8.0%
8 20
7.7%
5 18
 
6.9%
6 17
 
6.5%
4 16
 
6.1%
2 12
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 52
16.6%
0 47
15.0%
3 46
14.7%
1 42
13.4%
9 22
7.0%
7 21
6.7%
8 20
 
6.4%
5 18
 
5.8%
6 17
 
5.4%
4 16
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 52
16.6%
0 47
15.0%
3 46
14.7%
1 42
13.4%
9 22
7.0%
7 21
6.7%
8 20
 
6.4%
5 18
 
5.8%
6 17
 
5.4%
4 16
 
5.1%

홈페이지URL
Text

Distinct18
Distinct (%)69.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:24.378225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length33
Mean length16.230769
Min length4

Characters and Unicode

Total characters422
Distinct characters36
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)65.4%

Sample

1st rowhttp://www.gydcc.or.kr/
2nd rowwww.
3rd rowwww.
4th rowhttp://hyanglim.or.kr/
5th rowwww.
ValueCountFrequency (%)
www 9
34.6%
http://www.gydcc.or.kr 1
 
3.8%
http://hyds2012.co.kr 1
 
3.8%
http://lel.or.kr 1
 
3.8%
www.gomdurine.or.kr 1
 
3.8%
http://www.camphill.or.kr 1
 
3.8%
www.asrc.or.kr 1
 
3.8%
www.bitdoong.org 1
 
3.8%
www.mgds.co.kr 1
 
3.8%
http://blog.daum.net/bjw3160773 1
 
3.8%
Other values (8) 8
30.8%
2024-03-13T08:17:24.615181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 59
 
14.0%
. 52
 
12.3%
/ 30
 
7.1%
r 27
 
6.4%
t 26
 
6.2%
o 23
 
5.5%
h 16
 
3.8%
a 15
 
3.6%
n 14
 
3.3%
e 12
 
2.8%
Other values (26) 148
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 304
72.0%
Other Punctuation 92
 
21.8%
Decimal Number 25
 
5.9%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 59
19.4%
r 27
 
8.9%
t 26
 
8.6%
o 23
 
7.6%
h 16
 
5.3%
a 15
 
4.9%
n 14
 
4.6%
e 12
 
3.9%
k 12
 
3.9%
m 12
 
3.9%
Other values (14) 88
28.9%
Decimal Number
ValueCountFrequency (%)
0 10
40.0%
3 3
 
12.0%
2 3
 
12.0%
1 3
 
12.0%
6 2
 
8.0%
7 2
 
8.0%
9 1
 
4.0%
5 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
. 52
56.5%
/ 30
32.6%
: 10
 
10.9%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 304
72.0%
Common 118
 
28.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 59
19.4%
r 27
 
8.9%
t 26
 
8.6%
o 23
 
7.6%
h 16
 
5.3%
a 15
 
4.9%
n 14
 
4.6%
e 12
 
3.9%
k 12
 
3.9%
m 12
 
3.9%
Other values (14) 88
28.9%
Common
ValueCountFrequency (%)
. 52
44.1%
/ 30
25.4%
0 10
 
8.5%
: 10
 
8.5%
3 3
 
2.5%
2 3
 
2.5%
1 3
 
2.5%
6 2
 
1.7%
7 2
 
1.7%
9 1
 
0.8%
Other values (2) 2
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 422
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 59
 
14.0%
. 52
 
12.3%
/ 30
 
7.1%
r 27
 
6.4%
t 26
 
6.2%
o 23
 
5.5%
h 16
 
3.8%
a 15
 
3.6%
n 14
 
3.3%
e 12
 
2.8%
Other values (26) 148
35.1%

입소정원수(명)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)19.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
10
14 
12
5 
15
3 
20
3 
13
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.8%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 14
53.8%
12 5
 
19.2%
15 3
 
11.5%
20 3
 
11.5%
13 1
 
3.8%

Length

2024-03-13T08:17:24.723750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:17:24.802041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 14
53.8%
12 5
 
19.2%
15 3
 
11.5%
20 3
 
11.5%
13 1
 
3.8%

입소현원수(명)
Real number (ℝ)

Distinct9
Distinct (%)34.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.3461538
Minimum4
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:24.878023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile6
Q19
median10
Q310
95-th percentile11.75
Maximum15
Range11
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.1343347
Coefficient of variation (CV)0.22836503
Kurtosis2.0456566
Mean9.3461538
Median Absolute Deviation (MAD)1
Skewness-0.19763393
Sum243
Variance4.5553846
MonotonicityNot monotonic
2024-03-13T08:17:24.959224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
10 12
46.2%
9 4
 
15.4%
6 2
 
7.7%
7 2
 
7.7%
11 2
 
7.7%
15 1
 
3.8%
4 1
 
3.8%
8 1
 
3.8%
12 1
 
3.8%
ValueCountFrequency (%)
4 1
 
3.8%
6 2
 
7.7%
7 2
 
7.7%
8 1
 
3.8%
9 4
 
15.4%
10 12
46.2%
11 2
 
7.7%
12 1
 
3.8%
15 1
 
3.8%
ValueCountFrequency (%)
15 1
 
3.8%
12 1
 
3.8%
11 2
 
7.7%
10 12
46.2%
9 4
 
15.4%
8 1
 
3.8%
7 2
 
7.7%
6 2
 
7.7%
4 1
 
3.8%

종사자정원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)42.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.9230769
Minimum4
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:25.040513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile5
Q17
median9
Q310.75
95-th percentile12.75
Maximum14
Range10
Interquartile range (IQR)3.75

Descriptive statistics

Standard deviation2.5443754
Coefficient of variation (CV)0.28514552
Kurtosis-0.51501463
Mean8.9230769
Median Absolute Deviation (MAD)2
Skewness-0.017465647
Sum232
Variance6.4738462
MonotonicityNot monotonic
2024-03-13T08:17:25.124922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
10 5
19.2%
8 4
15.4%
7 4
15.4%
11 3
11.5%
5 2
 
7.7%
12 2
 
7.7%
9 2
 
7.7%
4 1
 
3.8%
13 1
 
3.8%
6 1
 
3.8%
ValueCountFrequency (%)
4 1
 
3.8%
5 2
 
7.7%
6 1
 
3.8%
7 4
15.4%
8 4
15.4%
9 2
 
7.7%
10 5
19.2%
11 3
11.5%
12 2
 
7.7%
13 1
 
3.8%
ValueCountFrequency (%)
14 1
 
3.8%
13 1
 
3.8%
12 2
 
7.7%
11 3
11.5%
10 5
19.2%
9 2
 
7.7%
8 4
15.4%
7 4
15.4%
6 1
 
3.8%
5 2
 
7.7%

종사자현원수(명)
Real number (ℝ)

HIGH CORRELATION 

Distinct10
Distinct (%)38.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.6538462
Minimum2
Maximum14
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2024-03-13T08:17:25.206212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile4
Q16
median8
Q38.75
95-th percentile11.75
Maximum14
Range12
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation2.575924
Coefficient of variation (CV)0.33655289
Kurtosis0.87568278
Mean7.6538462
Median Absolute Deviation (MAD)1
Skewness0.2645374
Sum199
Variance6.6353846
MonotonicityNot monotonic
2024-03-13T08:17:25.287081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
8 8
30.8%
6 4
15.4%
7 3
 
11.5%
9 3
 
11.5%
4 2
 
7.7%
11 2
 
7.7%
2 1
 
3.8%
5 1
 
3.8%
12 1
 
3.8%
14 1
 
3.8%
ValueCountFrequency (%)
2 1
 
3.8%
4 2
 
7.7%
5 1
 
3.8%
6 4
15.4%
7 3
 
11.5%
8 8
30.8%
9 3
 
11.5%
11 2
 
7.7%
12 1
 
3.8%
14 1
 
3.8%
ValueCountFrequency (%)
14 1
 
3.8%
12 1
 
3.8%
11 2
 
7.7%
9 3
 
11.5%
8 8
30.8%
7 3
 
11.5%
6 4
15.4%
5 1
 
3.8%
4 2
 
7.7%
2 1
 
3.8%

설치신고일
Date

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2000-10-18 00:00:00
Maximum2021-07-30 00:00:00
2024-03-13T08:17:25.369354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:25.471892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

법인명
Text

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size340.0 B
2024-03-13T08:17:25.636997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length8.2692308
Min length3

Characters and Unicode

Total characters215
Distinct characters97
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)100.0%

Sample

1st row사회복지법인천애원
2nd row경기도지적발달장애인복지협회 고양시지부
3rd row우림복지재단
4th row사회복지법인향림원
5th row사회복지법인 한국발달장애복지센터
ValueCountFrequency (%)
사회복지법인 2
 
6.7%
사회복지법인천애원 1
 
3.3%
벽진원 1
 
3.3%
하남교회 1
 
3.3%
연꽃마을 1
 
3.3%
한국지적발달장애인복지협회 1
 
3.3%
나눔과실천 1
 
3.3%
엘리엘동산 1
 
3.3%
의정부밀알법인 1
 
3.3%
상생복지회 1
 
3.3%
Other values (19) 19
63.3%
2024-03-13T08:17:25.918590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 20
 
9.3%
복 15
 
7.0%
회 11
 
5.1%
사 9
 
4.2%
인 9
 
4.2%
애 6
 
2.8%
재 6
 
2.8%
단 6
 
2.8%
법 6
 
2.8%
원 5
 
2.3%
Other values (87) 122
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
98.1%
Space Separator 4
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 20
 
9.5%
복 15
 
7.1%
회 11
 
5.2%
사 9
 
4.3%
인 9
 
4.3%
애 6
 
2.8%
재 6
 
2.8%
단 6
 
2.8%
법 6
 
2.8%
원 5
 
2.4%
Other values (86) 118
55.9%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 211
98.1%
Common 4
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 20
 
9.5%
복 15
 
7.1%
회 11
 
5.2%
사 9
 
4.3%
인 9
 
4.3%
애 6
 
2.8%
재 6
 
2.8%
단 6
 
2.8%
법 6
 
2.8%
원 5
 
2.4%
Other values (86) 118
55.9%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 211
98.1%
ASCII 4
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 20
 
9.5%
복 15
 
7.1%
회 11
 
5.2%
사 9
 
4.3%
인 9
 
4.3%
애 6
 
2.8%
재 6
 
2.8%
단 6
 
2.8%
법 6
 
2.8%
원 5
 
2.4%
Other values (86) 118
55.9%
ASCII
ValueCountFrequency (%)
4
100.0%

Interactions

2024-03-13T08:17:20.831496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:18.776082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.130250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.512877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.066493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.465564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.890667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:18.829364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.184363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.571739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.130777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.522805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.950426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:18.884498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.241458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.628482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.218207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.583945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:21.010458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:18.941242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.315770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.686617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.281209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.648380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:21.075622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.001983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.389240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.743193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.342925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.708945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:21.139070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.068630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.451608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:19.802541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.403274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:17:20.768323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:17:26.213482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL입소정원수(명)입소현원수(명)종사자정원수(명)종사자현원수(명)설치신고일법인명
시군명1.0001.0001.0001.0001.0000.9470.6601.0000.8170.8190.9160.0000.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0001.0001.0001.0000.6810.6731.0000.8910.9340.0000.2330.0001.0001.000
WGS84위도0.9471.0001.0001.0000.6811.0000.0001.0000.0000.0520.0000.4530.7531.0001.000
WGS84경도0.6601.0001.0001.0000.6730.0001.0001.0000.0000.1150.6900.2710.7231.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지URL0.8171.0001.0001.0000.8910.0000.0001.0001.0000.7900.6890.7840.0001.0001.000
입소정원수(명)0.8191.0001.0001.0000.9340.0520.1151.0000.7901.0000.4210.0000.0001.0001.000
입소현원수(명)0.9161.0001.0001.0000.0000.0000.6901.0000.6890.4211.0000.0000.8251.0001.000
종사자정원수(명)0.0001.0001.0001.0000.2330.4530.2711.0000.7840.0000.0001.0000.6791.0001.000
종사자현원수(명)0.0001.0001.0001.0000.0000.7530.7231.0000.0000.0000.8250.6791.0001.0001.000
설치신고일1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
법인명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-13T08:17:26.330824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도입소현원수(명)종사자정원수(명)종사자현원수(명)입소정원수(명)
소재지우편번호1.000-0.8820.2310.3280.4030.3390.575
WGS84위도-0.8821.000-0.295-0.166-0.313-0.2810.000
WGS84경도0.231-0.2951.000-0.1380.2630.0840.000
입소현원수(명)0.328-0.166-0.1381.0000.4330.2830.202
종사자정원수(명)0.403-0.3130.2630.4331.0000.7590.129
종사자현원수(명)0.339-0.2810.0840.2830.7591.0000.000
입소정원수(명)0.5750.0000.0000.2020.1290.0001.000

Missing values

2024-03-13T08:17:21.234405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:17:21.377615image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL입소정원수(명)입소현원수(명)종사자정원수(명)종사자현원수(명)설치신고일법인명
0고양시고양시장애인주간보호센터 부설단기보호시설경기도 고양시 일산서구 일산동 627-4번지경기도 고양시 일산서구 고양대로672번길 15-71035337.683456126.771128031-977-6723http://www.gydcc.or.kr/1010442012-03-01사회복지법인천애원
1고양시나너우리센터경기도 고양시 일산동구 설문동 31-12번지경기도 고양시 일산동구 문원길170번길 103-331025437.723258126.820708031-968-4180www.106522007-02-23경기도지적발달장애인복지협회 고양시지부
2고양시우림누리경기도 고양시 일산동구 성석동 992-4번지경기도 고양시 일산동구 성현로93번길 25-191025037.708342126.796124031-919-3485www.1010882002-05-01우림복지재단
3광주시광주시장애인단기보호시설경기도 광주시 곤지암읍 연곡리 80-2번지경기도 광주시 곤지암읍 광여로 555-401272237.371225127.395575031-762-8532http://hyanglim.or.kr/1010762012-01-01사회복지법인향림원
4광주시광주시장애인단기보호시설(북부권)경기도 광주시 탄벌동 674-1번지경기도 광주시 사기막길95번길 591274837.413692127.225759031-768-9400www.107552005-01-26사회복지법인 한국발달장애복지센터
5군포시가온누리단기보호센터경기도 군포시 당동 872번지경기도 군포시 군포로 4441587537.346112126.942368031-398-0123www.songil.or.kr151512122011-07-19사랑의손길
6김포시보리수마을경기도 김포시 풍무동 740번지 장릉마을삼성아파트경기도 김포시 승가로 891011837.605661126.709955031-998-3900https://cafe.naver.com/borisu3900104772018-03-02대한불교조계종 석왕사룸비니
7남양주시신망애단기보호센터경기도 남양주시 수동면 입석리 522-2번지경기도 남양주시 수동면 비룡로972번길 171202937.720941127.314852031-594-7755http://www.shma.kr/main/index.html106862000-10-18신망애복지재단
8동두천시동두천시장애인단기보호센터경기도 동두천시 상패동 54번지경기도 동두천시 상패로 641133837.907102127.047922031-866-9600www.ddcjb06.net1210882004-10-11샘솟는기쁨복지재단
9부천시라온제나단기보호시설경기도 부천시 원미구 상동 545-20번지경기도 부천시 원미구 소향로13번길 201454437.504599126.749455032-710-7326https://raonjena0201.modoo.at/1010992019-12-27더플러스에이블사회적협동조합
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL입소정원수(명)입소현원수(명)종사자정원수(명)종사자현원수(명)설치신고일법인명
16양평군로뎀나무경기도 양평군 청운면 용두리 630-28번지경기도 양평군 청운면 용두로164번길 141253037.555857127.711058031-775-0193www.1071072018-12-21로뎀의집
17양평군캠프힐 도토리하우스경기도 양평군 옥천면 신복리 946-12번지경기도 양평군 옥천면 원통이길 49-211250537.532251127.456652031-773-1346http://www.camphill.or.kr/10101382018-12-07사회복지법인캠프힐마을
18여주시상생단기보호센터경기도 여주시 세종대왕면 왕대리 972-4번지경기도 여주시 세종대왕면 중부대로 2806-51264337.299759127.618149031-884-7887www.1091092021-07-30상생복지회
19의정부시의정부시장애인단기보호시설 곰두리네집경기도 의정부시 녹양동 386-3번지경기도 의정부시 진등로11번길 91160637.759037127.031706031-829-8293www.gomdurine.or.kr12910112004-04-01의정부밀알법인
20이천시엘리엘동산단기보호센터경기도 이천시 마장면 장암리 584-1번지경기도 이천시 마장면 이장로 2561738337.273909127.387299031-8011-2114http://lel.or.kr101011112012-11-23엘리엘동산
21이천시이천시장애인단기보호센터 효양동산경기도 이천시 부발읍 무촌리 56-4번지경기도 이천시 부발읍 죽당로 361732137.284328127.495875031-633-8874http://hyds2012.co.kr129662012-12-01나눔과실천
22파주시사랑의 빛경기도 파주시 야동동 131-4번지경기도 파주시 창곡동길 481084937.754611126.783479031-957-2605www.1010882010-04-27한국지적발달장애인복지협회
23평택시합정장애인단기보호센터경기도 평택시 합정동 936-3번지경기도 평택시 조개터로2번길 411791536.986902127.103108031-618-7300www.20914142021-03-02연꽃마을
24하남시느티나무마을경기도 하남시 덕풍동 303-1번지경기도 하남시 덕풍동로 531293637.547402127.204589031-796-0005http://m.cafe.daum.net/skan0005/_rec12121172011-07-26하남교회
25화성시다사랑장애인단기거주시설경기도 화성시 정남면 문학리 656-12번지경기도 화성시 정남면 서봉로851번길 1301833637.154312126.948608031-354-0315www.20111082019-01-01사회복지법인 성지원