Overview

Dataset statistics

Number of variables7
Number of observations80
Missing cells5
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.7 KiB
Average record size in memory60.6 B

Variable types

Numeric3
Categorical1
Text3

Dataset

Description인천광역시 미추홀구 평생교육기관에 대한 데이터로 유형, 기관명, 도로명주소, 전화번호, 좌표값 등을 제공합니다.
Author인천광역시 미추홀구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15070185&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 연번High correlation
전화번호 has 5 (6.2%) missing valuesMissing
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:41:22.513394
Analysis finished2024-04-06 09:41:24.178696
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.5
Minimum1
Maximum80
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T18:41:24.264324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.95
Q120.75
median40.5
Q360.25
95-th percentile76.05
Maximum80
Range79
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.2379
Coefficient of variation (CV)0.57377531
Kurtosis-1.2
Mean40.5
Median Absolute Deviation (MAD)20
Skewness0
Sum3240
Variance540
MonotonicityStrictly increasing
2024-04-06T18:41:24.475289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
42 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
53 1
 
1.2%
Other values (70) 70
87.5%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%
72 1
1.2%
71 1
1.2%

유형
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
도서관 및 문화시설
30 
주민자치센터
21 
복지시설
11 
문화시설
5 
대학부설 평생교육원 및 기타시설
5 
Other values (3)
8 

Length

Max length17
Median length10
Mean length7.625
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row공공기관
2nd row주민자치센터
3rd row주민자치센터
4th row주민자치센터
5th row주민자치센터

Common Values

ValueCountFrequency (%)
도서관 및 문화시설 30
37.5%
주민자치센터 21
26.2%
복지시설 11
 
13.8%
문화시설 5
 
6.2%
대학부설 평생교육원 및 기타시설 5
 
6.2%
기타시설 3
 
3.8%
청소년시설 3
 
3.8%
공공기관 2
 
2.5%

Length

2024-04-06T18:41:24.620291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:41:24.737516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
및 35
22.6%
문화시설 35
22.6%
도서관 30
19.4%
주민자치센터 21
13.5%
복지시설 11
 
7.1%
기타시설 8
 
5.2%
대학부설 5
 
3.2%
평생교육원 5
 
3.2%
청소년시설 3
 
1.9%
공공기관 2
 
1.3%

기관명
Text

UNIQUE 

Distinct80
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T18:41:24.995812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length14
Mean length9.9625
Min length4

Characters and Unicode

Total characters797
Distinct characters164
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

Unique80 ?
Unique (%)100.0%

Sample

1st row미추홀구평생학습관
2nd row숭의1·3동 주민자치센터
3rd row숭의2동 주민자치센터
4th row숭의4동 주민자치센터
5th row용현1·4동 주민자치센터
ValueCountFrequency (%)
주민자치센터 21
 
19.6%
평생교육원 3
 
2.8%
미추홀구평생학습관 1
 
0.9%
한우리도서관 1
 
0.9%
제물포도서관 1
 
0.9%
장사래도서관 1
 
0.9%
쑥골도서관 1
 
0.9%
석바위도서관 1
 
0.9%
이랑도서관 1
 
0.9%
소금꽃도서관 1
 
0.9%
Other values (75) 75
70.1%
2024-04-06T18:41:25.465475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
51
 
6.4%
관 42
 
5.3%
터 32
 
4.0%
센 32
 
4.0%
주 32
 
4.0%
도 31
 
3.9%
서 28
 
3.5%
자 22
 
2.8%
동 22
 
2.8%
치 21
 
2.6%
Other values (154) 484
60.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 716
89.8%
Space Separator 51
 
6.4%
Decimal Number 22
 
2.8%
Other Punctuation 3
 
0.4%
Uppercase Letter 2
 
0.3%
Dash Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 42
 
5.9%
터 32
 
4.5%
센 32
 
4.5%
주 32
 
4.5%
도 31
 
4.3%
서 28
 
3.9%
자 22
 
3.1%
동 22
 
3.1%
치 21
 
2.9%
민 21
 
2.9%
Other values (139) 433
60.5%
Decimal Number
ValueCountFrequency (%)
1 5
22.7%
2 5
22.7%
3 4
18.2%
4 3
13.6%
5 2
 
9.1%
7 1
 
4.5%
6 1
 
4.5%
8 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Other Punctuation
ValueCountFrequency (%)
· 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 716
89.8%
Common 79
 
9.9%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 42
 
5.9%
터 32
 
4.5%
센 32
 
4.5%
주 32
 
4.5%
도 31
 
4.3%
서 28
 
3.9%
자 22
 
3.1%
동 22
 
3.1%
치 21
 
2.9%
민 21
 
2.9%
Other values (139) 433
60.5%
Common
ValueCountFrequency (%)
51
64.6%
1 5
 
6.3%
2 5
 
6.3%
3 4
 
5.1%
· 3
 
3.8%
4 3
 
3.8%
5 2
 
2.5%
- 1
 
1.3%
7 1
 
1.3%
6 1
 
1.3%
Other values (3) 3
 
3.8%
Latin
ValueCountFrequency (%)
S 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 716
89.8%
ASCII 78
 
9.8%
None 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
51
65.4%
1 5
 
6.4%
2 5
 
6.4%
3 4
 
5.1%
4 3
 
3.8%
5 2
 
2.6%
S 1
 
1.3%
K 1
 
1.3%
- 1
 
1.3%
7 1
 
1.3%
Other values (4) 4
 
5.1%
Hangul
ValueCountFrequency (%)
관 42
 
5.9%
터 32
 
4.5%
센 32
 
4.5%
주 32
 
4.5%
도 31
 
4.3%
서 28
 
3.9%
자 22
 
3.1%
동 22
 
3.1%
치 21
 
2.9%
민 21
 
2.9%
Other values (139) 433
60.5%
None
ValueCountFrequency (%)
· 3
100.0%

도로명주소
Text

Distinct79
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size772.0 B
2024-04-06T18:41:25.759909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30.5
Mean length22.875
Min length17

Characters and Unicode

Total characters1830
Distinct characters118
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique78 ?
Unique (%)97.5%

Sample

1st row인천광역시 미추홀구 소성로 189
2nd row인천광역시 미추홀구 석정로92번길 21-17
3rd row인천광역시 미추홀구 경인로34번길 20
4th row인천광역시 미추홀구 경인로156번길 32
5th row인천광역시 미추홀구 인주대로 198
ValueCountFrequency (%)
인천광역시 80
21.6%
미추홀구 80
21.6%
인하로 8
 
2.2%
매소홀로 5
 
1.3%
행정복지센터 4
 
1.1%
소성로 4
 
1.1%
경원대로 4
 
1.1%
석정로 4
 
1.1%
3층 4
 
1.1%
189 3
 
0.8%
Other values (144) 175
47.2%
2024-04-06T18:41:26.153293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
298
 
16.3%
인 101
 
5.5%
홀 88
 
4.8%
미 82
 
4.5%
추 82
 
4.5%
구 82
 
4.5%
천 82
 
4.5%
광 80
 
4.4%
역 80
 
4.4%
시 80
 
4.4%
Other values (108) 775
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1184
64.7%
Decimal Number 312
 
17.0%
Space Separator 298
 
16.3%
Dash Punctuation 14
 
0.8%
Other Punctuation 11
 
0.6%
Uppercase Letter 4
 
0.2%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 101
 
8.5%
홀 88
 
7.4%
미 82
 
6.9%
추 82
 
6.9%
구 82
 
6.9%
천 82
 
6.9%
광 80
 
6.8%
역 80
 
6.8%
시 80
 
6.8%
로 77
 
6.5%
Other values (88) 350
29.6%
Decimal Number
ValueCountFrequency (%)
2 49
15.7%
1 48
15.4%
4 39
12.5%
3 36
11.5%
5 28
9.0%
8 25
8.0%
7 24
7.7%
6 23
7.4%
0 20
6.4%
9 20
6.4%
Uppercase Letter
ValueCountFrequency (%)
P 1
25.0%
T 1
25.0%
A 1
25.0%
N 1
25.0%
Space Separator
ValueCountFrequency (%)
298
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1184
64.7%
Common 642
35.1%
Latin 4
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 101
 
8.5%
홀 88
 
7.4%
미 82
 
6.9%
추 82
 
6.9%
구 82
 
6.9%
천 82
 
6.9%
광 80
 
6.8%
역 80
 
6.8%
시 80
 
6.8%
로 77
 
6.5%
Other values (88) 350
29.6%
Common
ValueCountFrequency (%)
298
46.4%
2 49
 
7.6%
1 48
 
7.5%
4 39
 
6.1%
3 36
 
5.6%
5 28
 
4.4%
8 25
 
3.9%
7 24
 
3.7%
6 23
 
3.6%
0 20
 
3.1%
Other values (6) 52
 
8.1%
Latin
ValueCountFrequency (%)
P 1
25.0%
T 1
25.0%
A 1
25.0%
N 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1184
64.7%
ASCII 646
35.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
298
46.1%
2 49
 
7.6%
1 48
 
7.4%
4 39
 
6.0%
3 36
 
5.6%
5 28
 
4.3%
8 25
 
3.9%
7 24
 
3.7%
6 23
 
3.6%
0 20
 
3.1%
Other values (10) 56
 
8.7%
Hangul
ValueCountFrequency (%)
인 101
 
8.5%
홀 88
 
7.4%
미 82
 
6.9%
추 82
 
6.9%
구 82
 
6.9%
천 82
 
6.9%
광 80
 
6.8%
역 80
 
6.8%
시 80
 
6.8%
로 77
 
6.5%
Other values (88) 350
29.6%

전화번호
Text

MISSING 

Distinct73
Distinct (%)97.3%
Missing5
Missing (%)6.2%
Memory size772.0 B
2024-04-06T18:41:26.409220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.026667
Min length12

Characters and Unicode

Total characters902
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)94.7%

Sample

1st row032-728-6545
2nd row032-728-6101
3rd row032-728-6121
4th row032-728-6141
5th row032-728-6161
ValueCountFrequency (%)
032-888-9837 2
 
2.7%
032-876-2430 2
 
2.7%
032-426-0078 1
 
1.3%
032-870-2022 1
 
1.3%
032-427-2283 1
 
1.3%
032-872-0731 1
 
1.3%
032-872-0043 1
 
1.3%
032-872-0814 1
 
1.3%
032-422-0651 1
 
1.3%
032-421-8630 1
 
1.3%
Other values (63) 63
84.0%
2024-04-06T18:41:26.840257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 151
16.7%
- 150
16.6%
3 119
13.2%
0 115
12.7%
8 111
12.3%
6 68
7.5%
7 67
7.4%
1 52
 
5.8%
4 35
 
3.9%
5 21
 
2.3%
Other values (2) 13
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 751
83.3%
Dash Punctuation 150
 
16.6%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 151
20.1%
3 119
15.8%
0 115
15.3%
8 111
14.8%
6 68
9.1%
7 67
8.9%
1 52
 
6.9%
4 35
 
4.7%
5 21
 
2.8%
9 12
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 902
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 151
16.7%
- 150
16.6%
3 119
13.2%
0 115
12.7%
8 111
12.3%
6 68
7.5%
7 67
7.4%
1 52
 
5.8%
4 35
 
3.9%
5 21
 
2.3%
Other values (2) 13
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 902
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 151
16.7%
- 150
16.6%
3 119
13.2%
0 115
12.7%
8 111
12.3%
6 68
7.5%
7 67
7.4%
1 52
 
5.8%
4 35
 
3.9%
5 21
 
2.3%
Other values (2) 13
 
1.4%

위도
Real number (ℝ)

Distinct70
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.456039
Minimum37.437685
Maximum37.475597
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T18:41:27.061181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.437685
5-th percentile37.43864
Q137.446582
median37.458124
Q337.463791
95-th percentile37.470968
Maximum37.475597
Range0.03791156
Interquartile range (IQR)0.01720958

Descriptive statistics

Standard deviation0.010159612
Coefficient of variation (CV)0.00027124096
Kurtosis-0.9488174
Mean37.456039
Median Absolute Deviation (MAD)0.00750911
Skewness-0.21788295
Sum2996.4831
Variance0.00010321772
MonotonicityNot monotonic
2024-04-06T18:41:27.291316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.44114028 3
 
3.8%
37.44658154 2
 
2.5%
37.45144803 2
 
2.5%
37.46387063 2
 
2.5%
37.46656708 2
 
2.5%
37.44417922 2
 
2.5%
37.46379112 2
 
2.5%
37.43777929 2
 
2.5%
37.46303566 2
 
2.5%
37.44582572 1
 
1.2%
Other values (60) 60
75.0%
ValueCountFrequency (%)
37.43768495 1
 
1.2%
37.43777929 2
2.5%
37.43811766 1
 
1.2%
37.43866722 1
 
1.2%
37.43925399 1
 
1.2%
37.43983771 1
 
1.2%
37.44114028 3
3.8%
37.44369357 1
 
1.2%
37.44417922 2
2.5%
37.44429499 1
 
1.2%
ValueCountFrequency (%)
37.47559651 1
1.2%
37.47528703 1
1.2%
37.47396441 1
1.2%
37.4717635 1
1.2%
37.47092611 1
1.2%
37.47033279 1
1.2%
37.46724303 1
1.2%
37.4670650811844 1
1.2%
37.466682 1
1.2%
37.46656708 2
2.5%

경도
Real number (ℝ)

Distinct70
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.66711
Minimum126.63458
Maximum126.69716
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size852.0 B
2024-04-06T18:41:27.470838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.63458
5-th percentile126.64211
Q1126.65181
median126.66649
Q3126.68069
95-th percentile126.69272
Maximum126.69716
Range0.0625724
Interquartile range (IQR)0.0288827

Descriptive statistics

Standard deviation0.01745109
Coefficient of variation (CV)0.00013777128
Kurtosis-1.1369348
Mean126.66711
Median Absolute Deviation (MAD)0.01454865
Skewness0.084220023
Sum10133.369
Variance0.00030454055
MonotonicityNot monotonic
2024-04-06T18:41:27.669358image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.6692225 3
 
3.8%
126.6674738 2
 
2.5%
126.6515423 2
 
2.5%
126.6787096 2
 
2.5%
126.6486051 2
 
2.5%
126.6968093 2
 
2.5%
126.67658 2
 
2.5%
126.6715673 2
 
2.5%
126.6472695 2
 
2.5%
126.6903757 1
 
1.2%
Other values (60) 60
75.0%
ValueCountFrequency (%)
126.6345827 1
1.2%
126.6354444 1
1.2%
126.6402604 1
1.2%
126.6404994 1
1.2%
126.6421979 1
1.2%
126.6426622 1
1.2%
126.6442199 1
1.2%
126.6447166 1
1.2%
126.6450202 1
1.2%
126.6450629 1
1.2%
ValueCountFrequency (%)
126.6971551 1
1.2%
126.6968093 2
2.5%
126.6960245 1
1.2%
126.6925473 1
1.2%
126.6923615 1
1.2%
126.6923315 1
1.2%
126.692311 1
1.2%
126.6910609 1
1.2%
126.6903757 1
1.2%
126.6903305 1
1.2%

Interactions

2024-04-06T18:41:23.664767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:22.949788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.349794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.763867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.080343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.467739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.864871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.214926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:41:23.561536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:41:27.773522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유형기관명도로명주소전화번호위도경도
연번1.0000.8291.0000.9390.8900.0000.450
유형0.8291.0001.0000.9700.9860.0000.421
기관명1.0001.0001.0001.0001.0001.0001.000
도로명주소0.9390.9701.0001.0001.0001.0001.000
전화번호0.8900.9861.0001.0001.0001.0001.000
위도0.0000.0001.0001.0001.0001.0000.636
경도0.4500.4211.0001.0001.0000.6361.000
2024-04-06T18:41:27.881154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번위도경도유형
연번1.0000.065-0.0140.585
위도0.0651.000-0.1690.000
경도-0.014-0.1691.0000.210
유형0.5850.0000.2101.000

Missing values

2024-04-06T18:41:23.993769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:41:24.118822image/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

연번유형기관명도로명주소전화번호위도경도
01공공기관미추홀구평생학습관인천광역시 미추홀구 소성로 189032-728-654537.44114126.669223
12주민자치센터숭의1·3동 주민자치센터인천광역시 미추홀구 석정로92번길 21-17032-728-610137.467243126.64722
23주민자치센터숭의2동 주민자치센터인천광역시 미추홀구 경인로34번길 20032-728-612137.463036126.647269
34주민자치센터숭의4동 주민자치센터인천광역시 미추홀구 경인로156번길 32032-728-614137.464839126.659137
45주민자치센터용현1·4동 주민자치센터인천광역시 미추홀구 인주대로 198032-728-616137.454801126.658575
56주민자치센터용현2동 주민자치센터인천광역시 미추홀구 용마루로 56032-728-618137.456177126.64422
67주민자치센터용현3동 주민자치센터인천광역시 미추홀구 인주대로 133032-728-620137.456747126.651901
78주민자치센터용현5동 주민자치센터인천광역시 미추홀구 토금북로 60032-728-622137.45255126.64026
89주민자치센터학익1동 주민자치센터인천광역시 미추홀구 매소홀로 380032-728-624137.439838126.664118
910주민자치센터학익2동 주민자치센터인천광역시 미추홀구 한나루로 444032-728-626137.446582126.667474
연번유형기관명도로명주소전화번호위도경도
7071도서관 및 문화시설좋은나무작은도서관인천광역시 미추홀구 수봉안길 32032-863-069237.461947126.659965
7172도서관 및 문화시설숲속작은도서관인천광역시 미추홀구 숙골로 93, 로데오프라자5층032-872-537337.470333126.662718
7273도서관 및 문화시설진도그루터기도서관인천광역시 미추홀구 석정로 412, 207호<NA>37.466521126.680906
7374도서관 및 문화시설행복한용마루작은도서관인천광역시 미추홀구 낙섬중로 129032-887-900737.45826126.642662
7475도서관 및 문화시설지혜의나무작은도서관인천광역시 미추홀구 경원대로 712번길 6-12, 2층<NA>37.445826126.690376
7576도서관 및 문화시설수봉별마루작은도서관인천광역시 미추홀구 숭의동 5-5, N동 103호<NA>37.462184126.662156
7677도서관 및 문화시설예그리나작은도서관인천광역시 미추홀구 수봉로 42-1<NA>37.462384126.656937
7778도서관 및 문화시설학익엑슬루작은도서관인천광역시 미추홀구 매소홀로 309번길 32032-862-811637.444295126.658169
7879도서관 및 문화시설성산하모니작은도서관인천광역시 미추홀구 인하로 458032-424-395737.443694126.697155
7980도서관 및 문화시설스타디움센트럴시티인천광역시 미추홀구 참외전로268, 숭의1,3동<NA>37.466682126.64502