Overview

Dataset statistics

Number of variables9
Number of observations47
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.6 KiB
Average record size in memory77.8 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description경기도 안산시에 등록된 장애인복지시설 현황으로 장애인 복지시설의 시설유형구분명,시설구분,시설명,소재지도로명주소,정원수,전화번호,위도,경도,데이터기준일자 등을 제공합니다
Author경기도 안산시
URLhttps://www.data.go.kr/data/15036520/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설유형구분명 is highly overall correlated with 시설구분High correlation
시설구분 is highly overall correlated with 시설유형구분명High correlation
전화번호 has 1 (2.1%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:23:58.219185
Analysis finished2023-12-11 23:24:00.148924
Duration1.93 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형구분명
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
지역사회재활시설
17 
거주시설
16 
직업재활시설
9 
개인운영 시설
5 

Length

Max length8
Median length7
Mean length6.4893617
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
지역사회재활시설 17
36.2%
거주시설 16
34.0%
직업재활시설 9
19.1%
개인운영 시설 5
 
10.6%

Length

2023-12-12T08:24:00.235957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:24:00.362381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역사회재활시설 17
32.7%
거주시설 16
30.8%
직업재활시설 9
17.3%
개인운영 5
 
9.6%
시설 5
 
9.6%

시설구분
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
공동생활가정
12 
주간보호시설
12 
생활시설
6 
보호작업장
6 
단기보호
3 
Other values (4)
8 

Length

Max length8
Median length6
Mean length5.2978723
Min length3

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
공동생활가정 12
25.5%
주간보호시설 12
25.5%
생활시설 6
12.8%
보호작업장 6
12.8%
단기보호 3
 
6.4%
이용시설 3
 
6.4%
직업적응훈련시설 2
 
4.3%
복지관 2
 
4.3%
근로사업장 1
 
2.1%

Length

2023-12-12T08:24:00.508038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:24:00.642025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공동생활가정 12
25.5%
주간보호시설 12
25.5%
생활시설 6
12.8%
보호작업장 6
12.8%
단기보호 3
 
6.4%
이용시설 3
 
6.4%
직업적응훈련시설 2
 
4.3%
복지관 2
 
4.3%
근로사업장 1
 
2.1%

시설명
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T08:24:00.988385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length6.9574468
Min length2

Characters and Unicode

Total characters327
Distinct characters113
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

Unique47 ?
Unique (%)100.0%

Sample

1st row명휘원
2nd row안산평화의집
3rd row둥근세상
4th row어린양의집
5th row실비둥근세상
ValueCountFrequency (%)
명휘원 1
 
2.0%
샘 1
 
2.0%
장애인복지관 1
 
2.0%
안산시수어통역센터 1
 
2.0%
안산시장애인생활이동지원센터 1
 
2.0%
명휘체육센터 1
 
2.0%
안산시장애인주간보호시설 1
 
2.0%
꿈꾸는 1
 
2.0%
둥지 1
 
2.0%
안산밀알센터 1
 
2.0%
Other values (40) 40
80.0%
2023-12-12T08:24:01.515355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 16
 
4.9%
센 15
 
4.6%
산 14
 
4.3%
장 12
 
3.7%
보 11
 
3.4%
호 11
 
3.4%
안 10
 
3.1%
지 8
 
2.4%
애 7
 
2.1%
시 7
 
2.1%
Other values (103) 216
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 324
99.1%
Space Separator 3
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 16
 
4.9%
센 15
 
4.6%
산 14
 
4.3%
장 12
 
3.7%
보 11
 
3.4%
호 11
 
3.4%
안 10
 
3.1%
지 8
 
2.5%
애 7
 
2.2%
시 7
 
2.2%
Other values (102) 213
65.7%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 324
99.1%
Common 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 16
 
4.9%
센 15
 
4.6%
산 14
 
4.3%
장 12
 
3.7%
보 11
 
3.4%
호 11
 
3.4%
안 10
 
3.1%
지 8
 
2.5%
애 7
 
2.2%
시 7
 
2.2%
Other values (102) 213
65.7%
Common
ValueCountFrequency (%)
3
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 324
99.1%
ASCII 3
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 16
 
4.9%
센 15
 
4.6%
산 14
 
4.3%
장 12
 
3.7%
보 11
 
3.4%
호 11
 
3.4%
안 10
 
3.1%
지 8
 
2.5%
애 7
 
2.2%
시 7
 
2.2%
Other values (102) 213
65.7%
ASCII
ValueCountFrequency (%)
3
100.0%

소재지도로명주소
Text

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-12T08:24:01.927056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length32
Mean length28.829787
Min length23

Characters and Unicode

Total characters1355
Distinct characters82
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

Unique39 ?
Unique (%)83.0%

Sample

1st row경기도 안산시 상록구 해안로 865(사동)
2nd row경기도 안산시 상록구 고목로3길 8 (본오동)
3rd row경기도 안산시 단원구 새방죽길 42-33 (대부북동)
4th row경기도 안산시 단원구 흘곳길 58 (대부남동)
5th row경기도 안산시 단원구 새방죽길 42-33 (대부북동)
ValueCountFrequency (%)
경기도 47
16.5%
안산시 47
16.5%
상록구 31
 
10.9%
단원구 16
 
5.6%
원포공원1로 7
 
2.5%
사동 6
 
2.1%
초지동 4
 
1.4%
차돌배기로 4
 
1.4%
해안로 3
 
1.1%
59 3
 
1.1%
Other values (94) 116
40.8%
2023-12-12T08:24:02.389768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
17.5%
안 55
 
4.1%
동 55
 
4.1%
시 51
 
3.8%
기 51
 
3.8%
구 49
 
3.6%
도 48
 
3.5%
산 48
 
3.5%
경 47
 
3.5%
( 47
 
3.5%
Other values (72) 667
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
56.5%
Space Separator 237
 
17.5%
Decimal Number 218
 
16.1%
Open Punctuation 47
 
3.5%
Close Punctuation 47
 
3.5%
Other Punctuation 26
 
1.9%
Dash Punctuation 14
 
1.0%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 55
 
7.2%
동 55
 
7.2%
시 51
 
6.7%
기 51
 
6.7%
구 49
 
6.4%
도 48
 
6.3%
산 48
 
6.3%
경 47
 
6.1%
로 36
 
4.7%
원 36
 
4.7%
Other values (56) 289
37.8%
Decimal Number
ValueCountFrequency (%)
1 40
18.3%
0 37
17.0%
2 31
14.2%
5 26
11.9%
3 18
8.3%
4 17
7.8%
8 13
 
6.0%
7 13
 
6.0%
6 12
 
5.5%
9 11
 
5.0%
Space Separator
ValueCountFrequency (%)
237
100.0%
Open Punctuation
ValueCountFrequency (%)
( 47
100.0%
Close Punctuation
ValueCountFrequency (%)
) 47
100.0%
Other Punctuation
ValueCountFrequency (%)
, 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 765
56.5%
Common 589
43.5%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 55
 
7.2%
동 55
 
7.2%
시 51
 
6.7%
기 51
 
6.7%
구 49
 
6.4%
도 48
 
6.3%
산 48
 
6.3%
경 47
 
6.1%
로 36
 
4.7%
원 36
 
4.7%
Other values (56) 289
37.8%
Common
ValueCountFrequency (%)
237
40.2%
( 47
 
8.0%
) 47
 
8.0%
1 40
 
6.8%
0 37
 
6.3%
2 31
 
5.3%
5 26
 
4.4%
, 26
 
4.4%
3 18
 
3.1%
4 17
 
2.9%
Other values (5) 63
 
10.7%
Latin
ValueCountFrequency (%)
A 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 765
56.5%
ASCII 590
43.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
40.2%
( 47
 
8.0%
) 47
 
8.0%
1 40
 
6.8%
0 37
 
6.3%
2 31
 
5.3%
5 26
 
4.4%
, 26
 
4.4%
3 18
 
3.1%
4 17
 
2.9%
Other values (6) 64
 
10.8%
Hangul
ValueCountFrequency (%)
안 55
 
7.2%
동 55
 
7.2%
시 51
 
6.7%
기 51
 
6.7%
구 49
 
6.4%
도 48
 
6.3%
산 48
 
6.3%
경 47
 
6.1%
로 36
 
4.7%
원 36
 
4.7%
Other values (56) 289
37.8%

정원수
Real number (ℝ)

Distinct22
Distinct (%)46.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.404255
Minimum4
Maximum616
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T08:24:02.548543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile4
Q111
median20
Q337.5
95-th percentile108
Maximum616
Range612
Interquartile range (IQR)26.5

Descriptive statistics

Standard deviation106.58242
Coefficient of variation (CV)2.2019224
Kurtosis21.385481
Mean48.404255
Median Absolute Deviation (MAD)15
Skewness4.5621428
Sum2275
Variance11359.811
MonotonicityNot monotonic
2023-12-12T08:24:02.695781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
4 9
19.1%
20 8
17.0%
30 5
10.6%
35 4
 
8.5%
40 2
 
4.3%
13 2
 
4.3%
50 2
 
4.3%
80 1
 
2.1%
47 1
 
2.1%
10 1
 
2.1%
Other values (12) 12
25.5%
ValueCountFrequency (%)
4 9
19.1%
5 1
 
2.1%
8 1
 
2.1%
10 1
 
2.1%
12 1
 
2.1%
13 2
 
4.3%
14 1
 
2.1%
18 1
 
2.1%
20 8
17.0%
29 1
 
2.1%
ValueCountFrequency (%)
616 1
2.1%
443 1
2.1%
120 1
2.1%
80 1
2.1%
66 1
2.1%
60 1
2.1%
55 1
2.1%
50 2
4.3%
47 1
2.1%
40 2
4.3%

전화번호
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing1
Missing (%)2.1%
Memory size508.0 B
2023-12-12T08:24:03.008897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.108696
Min length12

Characters and Unicode

Total characters557
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

Unique43 ?
Unique (%)93.5%

Sample

1st row031-406-1134
2nd row031-417-7091
3rd row032-886-0531
4th row032-886-9192
5th row032-886-0533
ValueCountFrequency (%)
031-416-9990 3
 
6.5%
031-480-2900 1
 
2.2%
031-483-8237 1
 
2.2%
070-8254-4003 1
 
2.2%
031-482-9097 1
 
2.2%
031-413-4422 1
 
2.2%
031-406-1145 1
 
2.2%
031-418-9863 1
 
2.2%
031-405-0953 1
 
2.2%
031-401-0902 1
 
2.2%
Other values (34) 34
73.9%
2023-12-12T08:24:03.445837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 102
18.3%
- 92
16.5%
1 79
14.2%
3 68
12.2%
4 58
10.4%
2 32
 
5.7%
9 30
 
5.4%
5 26
 
4.7%
7 25
 
4.5%
8 23
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 465
83.5%
Dash Punctuation 92
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 102
21.9%
1 79
17.0%
3 68
14.6%
4 58
12.5%
2 32
 
6.9%
9 30
 
6.5%
5 26
 
5.6%
7 25
 
5.4%
8 23
 
4.9%
6 22
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 557
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 102
18.3%
- 92
16.5%
1 79
14.2%
3 68
12.2%
4 58
10.4%
2 32
 
5.7%
9 30
 
5.4%
5 26
 
4.7%
7 25
 
4.5%
8 23
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 557
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 102
18.3%
- 92
16.5%
1 79
14.2%
3 68
12.2%
4 58
10.4%
2 32
 
5.7%
9 30
 
5.4%
5 26
 
4.7%
7 25
 
4.5%
8 23
 
4.1%

위도
Real number (ℝ)

Distinct37
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.304682
Minimum37.219088
Maximum37.346508
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T08:24:03.612247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.219088
5-th percentile37.259124
Q137.293079
median37.303198
Q337.31996
95-th percentile37.342379
Maximum37.346508
Range0.12742
Interquartile range (IQR)0.0268805

Descriptive statistics

Standard deviation0.025258364
Coefficient of variation (CV)0.00067708293
Kurtosis2.1998839
Mean37.304682
Median Absolute Deviation (MAD)0.012341
Skewness-0.88311922
Sum1753.3201
Variance0.00063798495
MonotonicityNot monotonic
2023-12-12T08:24:03.786089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
37.283852 3
 
6.4%
37.299632 3
 
6.4%
37.315003 2
 
4.3%
37.303198 2
 
4.3%
37.306459 2
 
4.3%
37.325907 2
 
4.3%
37.307917 2
 
4.3%
37.248759 2
 
4.3%
37.315539 1
 
2.1%
37.296384 1
 
2.1%
Other values (27) 27
57.4%
ValueCountFrequency (%)
37.219088 1
 
2.1%
37.248759 2
4.3%
37.28331 1
 
2.1%
37.283852 3
6.4%
37.287051 1
 
2.1%
37.287172 1
 
2.1%
37.288196 1
 
2.1%
37.290316 1
 
2.1%
37.292024 1
 
2.1%
37.294135 1
 
2.1%
ValueCountFrequency (%)
37.346508 1
2.1%
37.346021 1
2.1%
37.34256 1
2.1%
37.341956 1
2.1%
37.336777 1
2.1%
37.336472 1
2.1%
37.335224 1
2.1%
37.330945 1
2.1%
37.33079 1
2.1%
37.325907 2
4.3%

경도
Real number (ℝ)

Distinct37
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.80818
Minimum126.12298
Maximum126.87399
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-12T08:24:03.926129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.12298
5-th percentile126.56986
Q1126.8114
median126.8449
Q3126.85643
95-th percentile126.87037
Maximum126.87399
Range0.751016
Interquartile range (IQR)0.0450375

Descriptive statistics

Standard deviation0.12389228
Coefficient of variation (CV)0.00097700542
Kurtosis21.003352
Mean126.80818
Median Absolute Deviation (MAD)0.018046
Skewness-4.2859045
Sum5959.9844
Variance0.015349296
MonotonicityNot monotonic
2023-12-12T08:24:04.085643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
126.839968 3
 
6.4%
126.846528 3
 
6.4%
126.870591 2
 
4.3%
126.811396 2
 
4.3%
126.848855 2
 
4.3%
126.806583 2
 
4.3%
126.852618 2
 
4.3%
126.569353 2
 
4.3%
126.859838 1
 
2.1%
126.860808 1
 
2.1%
Other values (27) 27
57.4%
ValueCountFrequency (%)
126.122977 1
2.1%
126.569353 2
4.3%
126.57104 1
2.1%
126.798934 1
2.1%
126.805119 1
2.1%
126.806583 2
4.3%
126.810382 1
2.1%
126.810385 1
2.1%
126.811196 1
2.1%
126.811396 2
4.3%
ValueCountFrequency (%)
126.873993 1
2.1%
126.870591 2
4.3%
126.869851 1
2.1%
126.86803 1
2.1%
126.867473 1
2.1%
126.860808 1
2.1%
126.859895 1
2.1%
126.859838 1
2.1%
126.858506 1
2.1%
126.858433 1
2.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-10-27
47 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-27
2nd row2023-10-27
3rd row2023-10-27
4th row2023-10-27
5th row2023-10-27

Common Values

ValueCountFrequency (%)
2023-10-27 47
100.0%

Length

2023-12-12T08:24:04.220652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T08:24:04.323063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-27 47
100.0%

Interactions

2023-12-12T08:23:59.552859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:58.960160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.287030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.643502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.043412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.381209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.766547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.159815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:59.461574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:24:04.386886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형구분명시설구분시설명소재지도로명주소정원수전화번호위도경도
시설유형구분명1.0000.8741.0000.9800.0001.0000.3250.155
시설구분0.8741.0001.0000.3730.6810.8480.3970.613
시설명1.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소0.9800.3731.0001.0000.0000.9581.0001.000
정원수0.0000.6811.0000.0001.0001.0000.0000.000
전화번호1.0000.8481.0000.9581.0001.0000.9031.000
위도0.3250.3971.0001.0000.0000.9031.0000.741
경도0.1550.6131.0001.0000.0001.0000.7411.000
2023-12-12T08:24:04.501067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설구분시설유형구분명
시설구분1.0000.730
시설유형구분명0.7301.000
2023-12-12T08:24:04.602401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
정원수위도경도시설유형구분명시설구분
정원수1.000-0.375-0.4330.0000.480
위도-0.3751.0000.1010.2140.207
경도-0.4330.1011.0000.1400.306
시설유형구분명0.0000.2140.1401.0000.730
시설구분0.4800.2070.3060.7301.000

Missing values

2023-12-12T08:23:59.948069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:24:00.089034image/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

시설유형구분명시설구분시설명소재지도로명주소정원수전화번호위도경도데이터기준일자
0거주시설생활시설명휘원경기도 안산시 상록구 해안로 865(사동)80031-406-113437.283852126.8399682023-10-27
1거주시설생활시설안산평화의집경기도 안산시 상록구 고목로3길 8 (본오동)50031-417-709137.28331126.8598952023-10-27
2거주시설생활시설둥근세상경기도 안산시 단원구 새방죽길 42-33 (대부북동)60032-886-053137.248759126.5693532023-10-27
3거주시설생활시설어린양의집경기도 안산시 단원구 흘곳길 58 (대부남동)40032-886-919237.219088126.571042023-10-27
4거주시설생활시설실비둥근세상경기도 안산시 단원구 새방죽길 42-33 (대부북동)30032-886-053337.248759126.5693532023-10-27
5거주시설단기보호빛과둥지단기보호센터경기도 안산시 상록구 옹주길 50-1(부곡동)13031-416-999037.330945126.8674732023-10-27
6거주시설단기보호맑은동산단기보호센터경기도 안산시 상록구 중보로 55, 702호(이동)20031-417-552337.307917126.8526182023-10-27
7거주시설공동생활가정아름드리경기도 안산시 단원구 화정천동로1안길 16, 401호(와동)4031-414-317137.34256126.8202652023-10-27
8거주시설공동생활가정희망경기도 안산시 상록구 감골로 59, 707동 802호(사동)4031-406-595237.287172126.8535192023-10-27
9거주시설공동생활가정사랑경기도 안산시 상록구 감골로 59, 707동 505호(사동)4031-409-414637.335224126.8539472023-10-27
시설유형구분명시설구분시설명소재지도로명주소정원수전화번호위도경도데이터기준일자
37지역사회재활시설주간보호시설해밀장애인주간보호센터경기도 안산시 단원구 선부로 183, 604호(선부동)14031-437-323737.341956126.8153992023-10-27
38지역사회재활시설주간보호시설안산시온유한센터경기도 안산시 상록구 본원로5안길 11 (본오동)20070-7576-087037.292024126.8698512023-10-27
39지역사회재활시설주간보호시설행복이룸주간센터경기도 안산시 상록구 도매시장로 10, 3층(이동)20031-8032-924437.308174126.8574392023-10-27
40지역사회재활시설주간보호시설상록큰숲주간센터경기도 안산시 상록구 차돌배기로 24-2 (사동)20031-406-120037.299632126.8465282023-10-27
41지역사회재활시설주간보호시설더불어숲주간센터경기도 안산시 단원구 원포공원1로 49, 509-2호(초지동)20031-414-326737.302409126.1229772023-10-27
42개인운영 시설생활시설만나복지원경기도 안산시 단원구 석수로7길 9-1 (선부동)29031-487-044937.346021126.8051192023-10-27
43개인운영 시설공동생활가정다사랑이웃선교회경기도 안산시 상록구 반석로 8, 19동 105호(본오동)12031-406-196037.296384126.8608082023-10-27
44개인운영 시설공동생활가정초록반디의집경기도 안산시 상록구 성호로 134(일동)4031-417-693537.315539126.8598382023-10-27
45개인운영 시설공동생활가정아름다운동행경기도 안산시 단원구 화정천동로6길 15-1 (와동)8031-483-823737.346508126.8206642023-10-27
46개인운영 시설단기보호희망나눔단기보호센터경기도 안산시 상록구 각골동로1길 3, 301호(본오동)10<NA>37.324381126.8268562023-10-27