Overview

Dataset statistics

Number of variables8
Number of observations1160
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory73.8 KiB
Average record size in memory65.1 B

Variable types

Numeric1
Categorical4
Text3

Dataset

Description인천광역시 연수구 지역복지자원 목록 데이터로서 연번, 대분류, 중분류, 제공서비스, 이용방법, 기관명, 운영여부 등의 항목으로 이루어져 있습니다.
URLhttps://www.data.go.kr/data/15116323/fileData.do

Alerts

대분류 is highly overall correlated with 중분류High correlation
중분류 is highly overall correlated with 대분류High correlation
연번 is highly overall correlated with 관련부서High correlation
운영여부 is highly overall correlated with 관련부서High correlation
관련부서 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
운영여부 is highly imbalanced (90.0%)Imbalance
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:45:55.611924
Analysis finished2023-12-12 22:45:56.526745
Duration0.91 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean580.5
Minimum1
Maximum1160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size10.3 KiB
2023-12-13T07:45:56.599169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile58.95
Q1290.75
median580.5
Q3870.25
95-th percentile1102.05
Maximum1160
Range1159
Interquartile range (IQR)579.5

Descriptive statistics

Standard deviation335.00746
Coefficient of variation (CV)0.57710157
Kurtosis-1.2
Mean580.5
Median Absolute Deviation (MAD)290
Skewness0
Sum673380
Variance112230
MonotonicityStrictly increasing
2023-12-13T07:45:56.731456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
799 1
 
0.1%
779 1
 
0.1%
778 1
 
0.1%
777 1
 
0.1%
776 1
 
0.1%
775 1
 
0.1%
774 1
 
0.1%
773 1
 
0.1%
772 1
 
0.1%
Other values (1150) 1150
99.1%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
1160 1
0.1%
1159 1
0.1%
1158 1
0.1%
1157 1
0.1%
1156 1
0.1%
1155 1
0.1%
1154 1
0.1%
1153 1
0.1%
1152 1
0.1%
1151 1
0.1%

대분류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
문화 및 여가
428 
일상생활
229 
보육 및 교육
177 
신체건강 및 보건의료
113 
정신건강 및 심리정서
104 
Other values (5)
109 

Length

Max length11
Median length7
Mean length6.9517241
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
문화 및 여가 428
36.9%
일상생활 229
19.7%
보육 및 교육 177
15.3%
신체건강 및 보건의료 113
 
9.7%
정신건강 및 심리정서 104
 
9.0%
일자리 55
 
4.7%
보호 및 돌봄요양 23
 
2.0%
주거 18
 
1.6%
안전 및 권익보장 12
 
1.0%
정신건강 및심리정서 1
 
0.1%

Length

2023-12-13T07:45:56.854152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:56.957009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
857
29.8%
문화 428
14.9%
여가 428
14.9%
일상생활 229
 
8.0%
보육 177
 
6.2%
교육 177
 
6.2%
신체건강 113
 
3.9%
보건의료 113
 
3.9%
정신건강 105
 
3.7%
심리정서 104
 
3.6%
Other values (7) 144
 
5.0%

중분류
Categorical

HIGH CORRELATION 

Distinct47
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
취미활동지원
286 
정서발달 및 치유지원
82 
체육활동 지원
80 
식사(식품) 지원
75 
복합지원
 
44
Other values (42)
593 

Length

Max length17
Median length14
Mean length8.2
Min length4

Unique

Unique6 ?
Unique (%)0.5%

Sample

1st row식사(식품) 지원
2nd row생활용품 지원
3rd row생활용품 지원
4th row식사(식품) 지원
5th row식사(식품) 지원

Common Values

ValueCountFrequency (%)
취미활동지원 286
24.7%
정서발달 및 치유지원 82
 
7.1%
체육활동 지원 80
 
6.9%
식사(식품) 지원 75
 
6.5%
복합지원 44
 
3.8%
생활용품 지원 39
 
3.4%
체험 및 여행지원 39
 
3.4%
일상생활관련 비용지원 38
 
3.3%
재활치료 35
 
3.0%
질병예방 및 건강관리 35
 
3.0%
Other values (37) 407
35.1%

Length

2023-12-13T07:45:57.095869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
413
17.5%
취미활동지원 286
 
12.1%
지원 218
 
9.2%
비용지원 91
 
3.9%
정서발달 82
 
3.5%
치유지원 82
 
3.5%
체육활동 80
 
3.4%
식사(식품 75
 
3.2%
보육 59
 
2.5%
상담 48
 
2.0%
Other values (68) 925
39.2%
Distinct254
Distinct (%)21.9%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-13T07:45:57.344548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length6.1534483
Min length2

Characters and Unicode

Total characters7138
Distinct characters251
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

Unique112 ?
Unique (%)9.7%

Sample

1st row간식지원
2nd row기타생활용품지원
3rd row기타생활용품지원
4th row도시락지원
5th row도시락지원
ValueCountFrequency (%)
생활체육활동 93
 
6.5%
참여 92
 
6.4%
문화강좌 89
 
6.2%
67
 
4.7%
예체능활동 48
 
3.3%
체험활동지원 38
 
2.6%
동아리활동 33
 
2.3%
노인여가프로그램 32
 
2.2%
음악교실 26
 
1.8%
기타생활용품지원 25
 
1.7%
Other values (271) 896
62.3%
2023-12-13T07:45:57.751089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
417
 
5.8%
404
 
5.7%
381
 
5.3%
302
 
4.2%
280
 
3.9%
222
 
3.1%
205
 
2.9%
165
 
2.3%
157
 
2.2%
136
 
1.9%
Other values (241) 4469
62.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6822
95.6%
Space Separator 280
 
3.9%
Close Punctuation 11
 
0.2%
Open Punctuation 11
 
0.2%
Other Punctuation 7
 
0.1%
Uppercase Letter 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
417
 
6.1%
404
 
5.9%
381
 
5.6%
302
 
4.4%
222
 
3.3%
205
 
3.0%
165
 
2.4%
157
 
2.3%
136
 
2.0%
135
 
2.0%
Other values (232) 4298
63.0%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%
Space Separator
ValueCountFrequency (%)
280
100.0%
Close Punctuation
ValueCountFrequency (%)
) 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6822
95.6%
Common 313
 
4.4%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
417
 
6.1%
404
 
5.9%
381
 
5.6%
302
 
4.4%
222
 
3.3%
205
 
3.0%
165
 
2.4%
157
 
2.3%
136
 
2.0%
135
 
2.0%
Other values (232) 4298
63.0%
Common
ValueCountFrequency (%)
280
89.5%
) 11
 
3.5%
( 11
 
3.5%
, 7
 
2.2%
+ 2
 
0.6%
- 2
 
0.6%
Latin
ValueCountFrequency (%)
L 1
33.3%
E 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6822
95.6%
ASCII 316
 
4.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
417
 
6.1%
404
 
5.9%
381
 
5.6%
302
 
4.4%
222
 
3.3%
205
 
3.0%
165
 
2.4%
157
 
2.3%
136
 
2.0%
135
 
2.0%
Other values (232) 4298
63.0%
ASCII
ValueCountFrequency (%)
280
88.6%
) 11
 
3.5%
( 11
 
3.5%
, 7
 
2.2%
+ 2
 
0.6%
- 2
 
0.6%
L 1
 
0.3%
E 1
 
0.3%
D 1
 
0.3%
Distinct58
Distinct (%)5.0%
Missing1
Missing (%)0.1%
Memory size9.2 KiB
2023-12-13T07:45:57.934666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length2
Mean length2.7851596
Min length2

Characters and Unicode

Total characters3228
Distinct characters84
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

Unique22 ?
Unique (%)1.9%

Sample

1st row방문
2nd row방문
3rd row방문
4th row방문
5th row방문
ValueCountFrequency (%)
방문 923
69.1%
전화 109
 
8.2%
또는 36
 
2.7%
인터넷 31
 
2.3%
26
 
1.9%
대면 22
 
1.6%
선착순 16
 
1.2%
접수 16
 
1.2%
온라인 16
 
1.2%
비대면 13
 
1.0%
Other values (49) 127
 
9.5%
2023-12-13T07:45:58.233589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
982
30.4%
970
30.0%
181
 
5.6%
128
 
4.0%
127
 
3.9%
82
 
2.5%
76
 
2.4%
51
 
1.6%
41
 
1.3%
36
 
1.1%
Other values (74) 554
17.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2977
92.2%
Space Separator 181
 
5.6%
Math Symbol 32
 
1.0%
Other Punctuation 27
 
0.8%
Close Punctuation 3
 
0.1%
Open Punctuation 3
 
0.1%
Uppercase Letter 3
 
0.1%
Decimal Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
982
33.0%
970
32.6%
128
 
4.3%
127
 
4.3%
82
 
2.8%
76
 
2.6%
51
 
1.7%
41
 
1.4%
36
 
1.2%
36
 
1.2%
Other values (65) 448
15.0%
Uppercase Letter
ValueCountFrequency (%)
S 2
66.7%
N 1
33.3%
Decimal Number
ValueCountFrequency (%)
4 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
181
100.0%
Math Symbol
ValueCountFrequency (%)
+ 32
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2977
92.2%
Common 248
 
7.7%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
982
33.0%
970
32.6%
128
 
4.3%
127
 
4.3%
82
 
2.8%
76
 
2.6%
51
 
1.7%
41
 
1.4%
36
 
1.2%
36
 
1.2%
Other values (65) 448
15.0%
Common
ValueCountFrequency (%)
181
73.0%
+ 32
 
12.9%
/ 27
 
10.9%
) 3
 
1.2%
( 3
 
1.2%
4 1
 
0.4%
2 1
 
0.4%
Latin
ValueCountFrequency (%)
S 2
66.7%
N 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2977
92.2%
ASCII 251
 
7.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
982
33.0%
970
32.6%
128
 
4.3%
127
 
4.3%
82
 
2.8%
76
 
2.6%
51
 
1.7%
41
 
1.4%
36
 
1.2%
36
 
1.2%
Other values (65) 448
15.0%
ASCII
ValueCountFrequency (%)
181
72.1%
+ 32
 
12.7%
/ 27
 
10.8%
) 3
 
1.2%
( 3
 
1.2%
S 2
 
0.8%
4 1
 
0.4%
2 1
 
0.4%
N 1
 
0.4%
Distinct131
Distinct (%)11.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
2023-12-13T07:45:58.450060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length18
Mean length9.1344828
Min length3

Characters and Unicode

Total characters10596
Distinct characters215
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

Unique44 ?
Unique (%)3.8%

Sample

1st row송도5동지역사회보장협의체
2nd row송도5동지역사회보장협의체
3rd row송도5동지역사회보장협의체
4th row선학종합사회복지관
5th row선학종합사회복지관
ValueCountFrequency (%)
주민자치센터 74
 
5.6%
연수구가족센터 71
 
5.4%
세화종합사회복지관 64
 
4.9%
지역사회보장협의체 56
 
4.3%
인천장애인종합복지관 45
 
3.4%
송도4동주민자치센터 41
 
3.1%
함박종합사회복지관 39
 
3.0%
노인장애인과 39
 
3.0%
연수종합사회복지관 35
 
2.7%
연수구청소년수련관 33
 
2.5%
Other values (138) 820
62.3%
2023-12-13T07:45:58.826496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
524
 
4.9%
471
 
4.4%
393
 
3.7%
381
 
3.6%
377
 
3.6%
372
 
3.5%
355
 
3.4%
347
 
3.3%
344
 
3.2%
288
 
2.7%
Other values (205) 6744
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10104
95.4%
Decimal Number 317
 
3.0%
Space Separator 161
 
1.5%
Other Punctuation 4
 
< 0.1%
Uppercase Letter 4
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
524
 
5.2%
471
 
4.7%
393
 
3.9%
381
 
3.8%
377
 
3.7%
372
 
3.7%
355
 
3.5%
347
 
3.4%
344
 
3.4%
288
 
2.9%
Other values (192) 6252
61.9%
Decimal Number
ValueCountFrequency (%)
1 98
30.9%
2 93
29.3%
3 74
23.3%
4 45
14.2%
5 7
 
2.2%
Other Punctuation
ValueCountFrequency (%)
" 2
50.0%
, 2
50.0%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10104
95.4%
Common 488
 
4.6%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
524
 
5.2%
471
 
4.7%
393
 
3.9%
381
 
3.8%
377
 
3.7%
372
 
3.7%
355
 
3.5%
347
 
3.4%
344
 
3.4%
288
 
2.9%
Other values (192) 6252
61.9%
Common
ValueCountFrequency (%)
161
33.0%
1 98
20.1%
2 93
19.1%
3 74
15.2%
4 45
 
9.2%
5 7
 
1.4%
) 3
 
0.6%
+ 2
 
0.4%
" 2
 
0.4%
, 2
 
0.4%
Latin
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10104
95.4%
ASCII 492
 
4.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
524
 
5.2%
471
 
4.7%
393
 
3.9%
381
 
3.8%
377
 
3.7%
372
 
3.7%
355
 
3.5%
347
 
3.4%
344
 
3.4%
288
 
2.9%
Other values (192) 6252
61.9%
ASCII
ValueCountFrequency (%)
161
32.7%
1 98
19.9%
2 93
18.9%
3 74
15.0%
4 45
 
9.1%
5 7
 
1.4%
) 3
 
0.6%
+ 2
 
0.4%
" 2
 
0.4%
, 2
 
0.4%
Other values (3) 5
 
1.0%

운영여부
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
운영중
1137 
운영예정
 
16
잠정중단
 
7

Length

Max length4
Median length3
Mean length3.0198276
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 1137
98.0%
운영예정 16
 
1.4%
잠정중단 7
 
0.6%

Length

2023-12-13T07:45:58.949154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:45:59.039281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 1137
98.0%
운영예정 16
 
1.4%
잠정중단 7
 
0.6%

관련부서
Categorical

HIGH CORRELATION 

Distinct27
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size9.2 KiB
노인장애인과
235 
여성아동과
198 
복지정책과
187 
연수청학도서관
64 
송도4동
45 
Other values (22)
431 

Length

Max length16
Median length7
Mean length4.9344828
Min length3

Unique

Unique2 ?
Unique (%)0.2%

Sample

1st row송도5동
2nd row송도5동
3rd row송도5동
4th row복지정책과
5th row복지정책과

Common Values

ValueCountFrequency (%)
노인장애인과 235
20.3%
여성아동과 198
17.1%
복지정책과 187
16.1%
연수청학도서관 64
 
5.5%
송도4동 45
 
3.9%
선학동 38
 
3.3%
동춘3동 37
 
3.2%
동춘1동 34
 
2.9%
옥련2동 33
 
2.8%
청학동 31
 
2.7%
Other values (17) 258
22.2%

Length

2023-12-13T07:45:59.142298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
노인장애인과 235
20.2%
여성아동과 198
17.0%
복지정책과 187
16.1%
연수청학도서관 64
 
5.5%
송도4동 45
 
3.9%
선학동 38
 
3.3%
동춘3동 37
 
3.2%
동춘1동 34
 
2.9%
옥련2동 33
 
2.8%
청학동 31
 
2.7%
Other values (19) 260
22.4%

Interactions

2023-12-13T07:45:56.251497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:45:59.222647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류중분류이용방법운영여부관련부서
연번1.0000.6200.7610.7350.3380.951
대분류0.6201.0000.9940.7050.0860.732
중분류0.7610.9941.0000.8550.1370.851
이용방법0.7350.7050.8551.0000.8820.881
운영여부0.3380.0860.1370.8821.0000.771
관련부서0.9510.7320.8510.8810.7711.000
2023-12-13T07:45:59.316645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
운영여부관련부서대분류중분류
운영여부1.0000.5040.0510.065
관련부서0.5041.0000.3650.335
대분류0.0510.3651.0000.928
중분류0.0650.3350.9281.000
2023-12-13T07:45:59.403222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번대분류중분류운영여부관련부서
연번1.0000.2330.3730.2150.747
대분류0.2331.0000.9280.0510.365
중분류0.3730.9281.0000.0650.335
운영여부0.2150.0510.0651.0000.504
관련부서0.7470.3650.3350.5041.000

Missing values

2023-12-13T07:45:56.362114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:45:56.479100image/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

연번대분류중분류제공서비스이용방법기관명운영여부관련부서
01일상생활식사(식품) 지원간식지원방문송도5동지역사회보장협의체운영중송도5동
12일상생활생활용품 지원기타생활용품지원방문송도5동지역사회보장협의체운영중송도5동
23일상생활생활용품 지원기타생활용품지원방문송도5동지역사회보장협의체운영중송도5동
34일상생활식사(식품) 지원도시락지원방문선학종합사회복지관운영중복지정책과
45일상생활식사(식품) 지원도시락지원방문선학종합사회복지관운영중복지정책과
56일상생활식사(식품) 지원식품지원방문송도5동지역사회보장협의체운영중송도5동
67일상생활생활용품 지원기타생활용품지원방문건설과운영중건설과
78일상생활일상생활관련 비용지원사망위로금 지원방문복지정책과운영중복지정책과
89일상생활일상생활관련 비용지원사망위로금 지원방문복지정책과운영중복지정책과
910일상생활일상생활관련 비용지원생계비지원방문복지정책과운영중복지정책과
연번대분류중분류제공서비스이용방법기관명운영여부관련부서
11501151문화 및 여가취미활동지원문화강좌 참여방문누리공원작은도서관운영중연수청학도서관
11511152문화 및 여가취미활동지원문화강좌 참여방문누리공원작은도서관운영중연수청학도서관
11521153문화 및 여가취미활동지원문화강좌 참여방문누리공원작은도서관운영중연수청학도서관
11531154주거주거환경 개선일상생활지원무료선학종합사회복지관운영중복지정책과
11541155신체건강 및 보건의료질병예방 및 건강관리일상생활지원무료선학종합사회복지관운영중복지정책과
11551156신체건강 및 보건의료질병예방 및 건강관리간병서비스방문선학요양원운영중노인장애인과
11561157일상생활위생(이미용)지원이미용서비스무료선학종합사회복지관운영중복지정책과
11571158주거주거환경 개선LED 초인등 설치방문동춘3동지역사회보장협의체운영중동춘3동
11581159주거주거환경 개선불량주거환경개선방문청학동 지역사회보장협의체운영중청학동
11591160주거주거환경 개선집수리지원 일반전화인천연수지역자활센터운영중사회보장과