Overview

Dataset statistics

Number of variables10
Number of observations368
Missing cells7
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.2 KiB
Average record size in memory81.4 B

Variable types

Numeric1
Text3
DateTime2
Categorical4

Dataset

Description경기도 안산시에 어린이놀이시설 현황으로 시설번호,놀이시설명,설치일자,설치장소,소재지도로명주소,소재지지번주소,민간공공구분명,실내외구분명,관리부서명,데이터기준일자 등을 제공합니다.
Author경기도 안산시
URLhttps://www.data.go.kr/data/15036551/fileData.do

Alerts

설치장소 has constant value ""Constant
관리부서명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
민간공공구분명 is highly imbalanced (97.3%)Imbalance
실내외구분명 is highly imbalanced (95.1%)Imbalance
소재지도로명주소 has 7 (1.9%) missing valuesMissing
시설번호 has unique valuesUnique
놀이시설명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:16:49.743489
Analysis finished2023-12-12 03:16:50.842656
Duration1.1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설번호
Real number (ℝ)

UNIQUE 

Distinct368
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean260423.65
Minimum192
Maximum586192
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.4 KiB
2023-12-12T12:16:50.963885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum192
5-th percentile1026.35
Q117859.75
median31578
Q3546278
95-th percentile572348.8
Maximum586192
Range586000
Interquartile range (IQR)528418.25

Descriptive statistics

Standard deviation267046.27
Coefficient of variation (CV)1.0254302
Kurtosis-1.9679346
Mean260423.65
Median Absolute Deviation (MAD)30554.5
Skewness0.17892114
Sum95835905
Variance7.1313713 × 1010
MonotonicityStrictly increasing
2023-12-12T12:16:51.179692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192 1
 
0.3%
532946 1
 
0.3%
536008 1
 
0.3%
533930 1
 
0.3%
533648 1
 
0.3%
533647 1
 
0.3%
533646 1
 
0.3%
533645 1
 
0.3%
533280 1
 
0.3%
532948 1
 
0.3%
Other values (358) 358
97.3%
ValueCountFrequency (%)
192 1
0.3%
193 1
0.3%
197 1
0.3%
198 1
0.3%
345 1
0.3%
346 1
0.3%
347 1
0.3%
348 1
0.3%
349 1
0.3%
355 1
0.3%
ValueCountFrequency (%)
586192 1
0.3%
586191 1
0.3%
586190 1
0.3%
580625 1
0.3%
578054 1
0.3%
578053 1
0.3%
578052 1
0.3%
578051 1
0.3%
574396 1
0.3%
574395 1
0.3%

놀이시설명
Text

UNIQUE 

Distinct368
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T12:16:51.554700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length20.410326
Min length8

Characters and Unicode

Total characters7511
Distinct characters256
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique368 ?
Unique (%)100.0%

Sample

1st row요진아파트단지내 관리동옆 제1놀이터
2nd row요진아파트단지내 102동앞 제2놀이터
3rd row푸른마을 4단지아파트 404동 어린이놀이터
4th row푸른마을 4단지아파트 405동 어린이놀이터
5th row[별님 놀이터]네오빌6단지 602동 옆
ValueCountFrequency (%)
놀이터 91
 
8.1%
59
 
5.3%
22
 
2.0%
어린이놀이터 20
 
1.8%
안산 11
 
1.0%
10
 
0.9%
어린이놀이터1 10
 
0.9%
어린이놀이터2 9
 
0.8%
105동 9
 
0.8%
사동 8
 
0.7%
Other values (533) 869
77.7%
2023-12-12T12:16:52.156230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
750
 
10.0%
1 453
 
6.0%
443
 
5.9%
361
 
4.8%
308
 
4.1%
302
 
4.0%
0 240
 
3.2%
236
 
3.1%
] 158
 
2.1%
[ 158
 
2.1%
Other values (246) 4102
54.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5047
67.2%
Decimal Number 1296
 
17.3%
Space Separator 750
 
10.0%
Close Punctuation 192
 
2.6%
Open Punctuation 192
 
2.6%
Lowercase Letter 16
 
0.2%
Other Punctuation 6
 
0.1%
Math Symbol 5
 
0.1%
Uppercase Letter 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
443
 
8.8%
361
 
7.2%
308
 
6.1%
302
 
6.0%
236
 
4.7%
149
 
3.0%
136
 
2.7%
134
 
2.7%
128
 
2.5%
122
 
2.4%
Other values (224) 2728
54.1%
Decimal Number
ValueCountFrequency (%)
1 453
35.0%
0 240
18.5%
2 153
 
11.8%
3 89
 
6.9%
5 79
 
6.1%
7 65
 
5.0%
4 65
 
5.0%
6 59
 
4.6%
8 52
 
4.0%
9 41
 
3.2%
Close Punctuation
ValueCountFrequency (%)
] 158
82.3%
) 34
 
17.7%
Open Punctuation
ValueCountFrequency (%)
[ 158
82.3%
( 34
 
17.7%
Other Punctuation
ValueCountFrequency (%)
, 5
83.3%
/ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
750
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Symbol
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5045
67.2%
Common 2445
32.6%
Latin 19
 
0.3%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
443
 
8.8%
361
 
7.2%
308
 
6.1%
302
 
6.0%
236
 
4.7%
149
 
3.0%
136
 
2.7%
134
 
2.7%
128
 
2.5%
122
 
2.4%
Other values (223) 2726
54.0%
Common
ValueCountFrequency (%)
750
30.7%
1 453
18.5%
0 240
 
9.8%
] 158
 
6.5%
[ 158
 
6.5%
2 153
 
6.3%
3 89
 
3.6%
5 79
 
3.2%
7 65
 
2.7%
4 65
 
2.7%
Other values (10) 235
 
9.6%
Latin
ValueCountFrequency (%)
e 16
84.2%
A 3
 
15.8%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5045
67.2%
ASCII 2462
32.8%
CJK 2
 
< 0.1%
Enclosed Alphanum 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
750
30.5%
1 453
18.4%
0 240
 
9.7%
] 158
 
6.4%
[ 158
 
6.4%
2 153
 
6.2%
3 89
 
3.6%
5 79
 
3.2%
7 65
 
2.6%
4 65
 
2.6%
Other values (11) 252
 
10.2%
Hangul
ValueCountFrequency (%)
443
 
8.8%
361
 
7.2%
308
 
6.1%
302
 
6.0%
236
 
4.7%
149
 
3.0%
136
 
2.7%
134
 
2.7%
128
 
2.5%
122
 
2.4%
Other values (223) 2726
54.0%
CJK
ValueCountFrequency (%)
2
100.0%
Enclosed Alphanum
ValueCountFrequency (%)
2
100.0%
Distinct147
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum1986-05-01 00:00:00
Maximum2023-01-20 00:00:00
2023-12-12T12:16:52.370365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:16:52.642584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

설치장소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
주택단지
368 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택단지 368
100.0%

Length

2023-12-12T12:16:52.855521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:16:53.011063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택단지 368
100.0%
Distinct146
Distinct (%)40.4%
Missing7
Missing (%)1.9%
Memory size3.0 KiB
2023-12-12T12:16:53.329670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length42
Mean length34.545706
Min length23

Characters and Unicode

Total characters12471
Distinct characters173
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)13.0%

Sample

1st row경기도 안산시 상록구 삼리로 24 (사동)
2nd row경기도 안산시 상록구 삼리로 24 (사동)
3rd row경기도 안산시 상록구 용하공원로 7 (사동)
4th row경기도 안산시 상록구 용하공원로 7 (사동)
5th row경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)
ValueCountFrequency (%)
경기도 361
 
14.7%
안산시 361
 
14.7%
단원구 234
 
9.5%
상록구 127
 
5.2%
고잔동 61
 
2.5%
초지동 56
 
2.3%
사동 48
 
2.0%
선부동 47
 
1.9%
신길동 30
 
1.2%
광덕2로 24
 
1.0%
Other values (289) 1111
45.2%
2023-12-12T12:16:53.918222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2099
 
16.8%
458
 
3.7%
455
 
3.6%
392
 
3.1%
385
 
3.1%
370
 
3.0%
369
 
3.0%
1 362
 
2.9%
361
 
2.9%
) 361
 
2.9%
Other values (163) 6859
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8177
65.6%
Space Separator 2099
 
16.8%
Decimal Number 1166
 
9.3%
Close Punctuation 361
 
2.9%
Open Punctuation 361
 
2.9%
Other Punctuation 287
 
2.3%
Lowercase Letter 12
 
0.1%
Dash Punctuation 8
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
458
 
5.6%
455
 
5.6%
392
 
4.8%
385
 
4.7%
370
 
4.5%
369
 
4.5%
361
 
4.4%
361
 
4.4%
348
 
4.3%
339
 
4.1%
Other values (146) 4339
53.1%
Decimal Number
ValueCountFrequency (%)
1 362
31.0%
2 159
13.6%
3 93
 
8.0%
6 93
 
8.0%
5 91
 
7.8%
4 84
 
7.2%
7 81
 
6.9%
8 79
 
6.8%
0 75
 
6.4%
9 49
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 275
95.8%
12
 
4.2%
Space Separator
ValueCountFrequency (%)
2099
100.0%
Close Punctuation
ValueCountFrequency (%)
) 361
100.0%
Open Punctuation
ValueCountFrequency (%)
( 361
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 12
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8177
65.6%
Common 4282
34.3%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
458
 
5.6%
455
 
5.6%
392
 
4.8%
385
 
4.7%
370
 
4.5%
369
 
4.5%
361
 
4.4%
361
 
4.4%
348
 
4.3%
339
 
4.1%
Other values (146) 4339
53.1%
Common
ValueCountFrequency (%)
2099
49.0%
1 362
 
8.5%
) 361
 
8.4%
( 361
 
8.4%
, 275
 
6.4%
2 159
 
3.7%
3 93
 
2.2%
6 93
 
2.2%
5 91
 
2.1%
4 84
 
2.0%
Other values (6) 304
 
7.1%
Latin
ValueCountFrequency (%)
e 12
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8177
65.6%
ASCII 4282
34.3%
None 12
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2099
49.0%
1 362
 
8.5%
) 361
 
8.4%
( 361
 
8.4%
, 275
 
6.4%
2 159
 
3.7%
3 93
 
2.2%
6 93
 
2.2%
5 91
 
2.1%
4 84
 
2.0%
Other values (6) 304
 
7.1%
Hangul
ValueCountFrequency (%)
458
 
5.6%
455
 
5.6%
392
 
4.8%
385
 
4.7%
370
 
4.5%
369
 
4.5%
361
 
4.4%
361
 
4.4%
348
 
4.3%
339
 
4.1%
Other values (146) 4339
53.1%
None
ValueCountFrequency (%)
12
100.0%
Distinct152
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
2023-12-12T12:16:54.374578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length50
Mean length21.73913
Min length16

Characters and Unicode

Total characters8000
Distinct characters86
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

Unique56 ?
Unique (%)15.2%

Sample

1st row경기도 안산시 상록구 사3동 1553
2nd row경기도 안산시 상록구 사3동 1553
3rd row경기도 안산시 단원구 사동 1537
4th row경기도 안산시 단원구 사동 1537
5th row경기도 안산시 단원구 고잔동 767
ValueCountFrequency (%)
안산시 374
19.4%
경기도 367
19.1%
단원구 252
13.1%
상록구 123
 
6.4%
초지동 64
 
3.3%
고잔동 55
 
2.9%
선부동 39
 
2.0%
사동 35
 
1.8%
신길동 24
 
1.2%
성포동 21
 
1.1%
Other values (208) 569
29.6%
2023-12-12T12:16:55.178677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1555
19.4%
410
 
5.1%
380
 
4.8%
379
 
4.7%
379
 
4.7%
378
 
4.7%
377
 
4.7%
373
 
4.7%
373
 
4.7%
285
 
3.6%
Other values (76) 3111
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5071
63.4%
Space Separator 1555
 
19.4%
Decimal Number 1329
 
16.6%
Dash Punctuation 32
 
0.4%
Uppercase Letter 9
 
0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
410
 
8.1%
380
 
7.5%
379
 
7.5%
379
 
7.5%
378
 
7.5%
377
 
7.4%
373
 
7.4%
373
 
7.4%
285
 
5.6%
276
 
5.4%
Other values (61) 1461
28.8%
Decimal Number
ValueCountFrequency (%)
1 276
20.8%
7 196
14.7%
8 165
12.4%
3 122
9.2%
5 110
 
8.3%
6 105
 
7.9%
4 104
 
7.8%
0 99
 
7.4%
2 85
 
6.4%
9 67
 
5.0%
Space Separator
ValueCountFrequency (%)
1555
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Uppercase Letter
ValueCountFrequency (%)
A 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5071
63.4%
Common 2920
36.5%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
410
 
8.1%
380
 
7.5%
379
 
7.5%
379
 
7.5%
378
 
7.5%
377
 
7.4%
373
 
7.4%
373
 
7.4%
285
 
5.6%
276
 
5.4%
Other values (61) 1461
28.8%
Common
ValueCountFrequency (%)
1555
53.3%
1 276
 
9.5%
7 196
 
6.7%
8 165
 
5.7%
3 122
 
4.2%
5 110
 
3.8%
6 105
 
3.6%
4 104
 
3.6%
0 99
 
3.4%
2 85
 
2.9%
Other values (4) 103
 
3.5%
Latin
ValueCountFrequency (%)
A 9
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5071
63.4%
ASCII 2929
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1555
53.1%
1 276
 
9.4%
7 196
 
6.7%
8 165
 
5.6%
3 122
 
4.2%
5 110
 
3.8%
6 105
 
3.6%
4 104
 
3.6%
0 99
 
3.4%
2 85
 
2.9%
Other values (5) 112
 
3.8%
Hangul
ValueCountFrequency (%)
410
 
8.1%
380
 
7.5%
379
 
7.5%
379
 
7.5%
378
 
7.5%
377
 
7.4%
373
 
7.4%
373
 
7.4%
285
 
5.6%
276
 
5.4%
Other values (61) 1461
28.8%

민간공공구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
민간
367 
공공
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
민간 367
99.7%
공공 1
 
0.3%

Length

2023-12-12T12:16:55.398628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:16:55.550618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
민간 367
99.7%
공공 1
 
0.3%

실내외구분명
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
실외
366 
실내
 
2

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실외 366
99.5%
실내 2
 
0.5%

Length

2023-12-12T12:16:55.711613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:16:56.261624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실외 366
99.5%
실내 2
 
0.5%

관리부서명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
주택과
368 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
주택과 368
100.0%

Length

2023-12-12T12:16:56.419099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T12:16:56.545324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
주택과 368
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.0 KiB
Minimum2023-11-28 00:00:00
Maximum2023-11-28 00:00:00
2023-12-12T12:16:56.664432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:16:56.788448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T12:16:50.276010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:16:56.889573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호민간공공구분명실내외구분명
시설번호1.0000.0000.023
민간공공구분명0.0001.0000.000
실내외구분명0.0230.0001.000
2023-12-12T12:16:57.024469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
실내외구분명민간공공구분명
실내외구분명1.0000.000
민간공공구분명0.0001.000
2023-12-12T12:16:57.138333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설번호민간공공구분명실내외구분명
시설번호1.0000.0000.038
민간공공구분명0.0001.0000.000
실내외구분명0.0380.0001.000

Missing values

2023-12-12T12:16:50.480262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:16:50.743521image/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

시설번호놀이시설명설치일자설치장소소재지도로명주소소재지지번주소민간공공구분명실내외구분명관리부서명데이터기준일자
0192요진아파트단지내 관리동옆 제1놀이터2008-10-07주택단지경기도 안산시 상록구 삼리로 24 (사동)경기도 안산시 상록구 사3동 1553민간실외주택과2023-11-28
1193요진아파트단지내 102동앞 제2놀이터2008-10-07주택단지경기도 안산시 상록구 삼리로 24 (사동)경기도 안산시 상록구 사3동 1553민간실외주택과2023-11-28
2197푸른마을 4단지아파트 404동 어린이놀이터2008-10-16주택단지경기도 안산시 상록구 용하공원로 7 (사동)경기도 안산시 단원구 사동 1537민간실외주택과2023-11-28
3198푸른마을 4단지아파트 405동 어린이놀이터2008-10-16주택단지경기도 안산시 상록구 용하공원로 7 (사동)경기도 안산시 단원구 사동 1537민간실외주택과2023-11-28
4345[별님 놀이터]네오빌6단지 602동 옆2008-11-20주택단지경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)경기도 안산시 단원구 고잔동 767민간실외주택과2023-11-28
5346[달님 놀이터]네오빌6단지 608동 옆2008-11-20주택단지경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)경기도 안산시 단원구 고잔동 767민간실외주택과2023-11-28
6347[꽃님 놀이터]네오빌6단지 613동 옆2008-11-20주택단지경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)경기도 안산시 단원구 고잔동 767민간실외주택과2023-11-28
7348[꿈별 놀이터]네오빌6단지 617동2008-11-20주택단지경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)경기도 안산시 단원구 고잔동 767민간실외주택과2023-11-28
8349[샛별 놀이터]네오빌6단지 관리소옆2008-11-20주택단지경기도 안산시 단원구 광덕동로 78 (고잔동, 네오빌주공아파트)경기도 안산시 단원구 고잔동 767민간실외주택과2023-11-28
9355안산 사동 푸른마을 3단지 303동옆 푸른마을 놀이터2008-11-21주택단지경기도 안산시 상록구 삼리로 86 (사동)경기도 안산시 상록구 사1동 1538-1민간실외주택과2023-11-28
시설번호놀이시설명설치일자설치장소소재지도로명주소소재지지번주소민간공공구분명실내외구분명관리부서명데이터기준일자
358574395안산그랑시티자이2차 어린이놀이터3(204동 앞)2020-06-02주택단지경기도 안산시 상록구 해양5로 17 (사동, 그랑시티자이2차)경기도 안산시 상록구 사동 1639민간실외주택과2023-11-28
359574396안산그랑시티자이2차 유아놀이터(어린이놀이터1 옆)2020-06-02주택단지경기도 안산시 상록구 해양5로 17 (사동, 그랑시티자이2차)경기도 안산시 상록구 사동 1639민간실외주택과2023-11-28
360578051e편한세상초지역센트럴포레110동 어린이놀이터12021-03-27주택단지<NA>경기도 안산시 단원구 원곡동 838민간실외주택과2023-11-28
361578052e편한세상초지역센트럴포레110동,112동 사이 어린이놀이터22021-03-27주택단지<NA>경기도 안산시 단원구 원곡동 838민간실외주택과2023-11-28
362578053e편한세상초지역센트럴포레104동,106동 사이 어린이놀이터32021-03-27주택단지<NA>경기도 안산시 단원구 원곡동 838민간실외주택과2023-11-28
363578054e편한세상초지역센트럴포레110동,경로당 사이 유아놀이터2021-03-27주택단지<NA>경기도 안산시 단원구 원곡동 838민간실외주택과2023-11-28
364580625안산생생아파트 어린이놀이터2021-11-16주택단지경기도 안산시 단원구 선부로 35 (선부동)경기도 안산시 단원구 선부동 1195공공실외주택과2023-11-28
365586190안산푸르지오브리파크어린이놀이터 110동 앞2023-01-20주택단지<NA>경기도 안산시 단원구 원곡동 830민간실외주택과2023-11-28
366586191안산푸르지오브리파크어린이놀이터 102동 앞2023-01-20주택단지<NA>경기도 안산시 단원구 원곡동 830민간실외주택과2023-11-28
367586192안산푸르지오브리파크어린이놀이터 109동 앞2023-01-20주택단지<NA>경기도 안산시 단원구 원곡동 830민간실외주택과2023-11-28