Overview

Dataset statistics

Number of variables7
Number of observations150
Missing cells54
Missing cells (%)5.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory58.9 B

Variable types

Numeric2
Text4
DateTime1

Dataset

Description인천광역시 중구 관내에 위치한 평생학습기관에 대한 데이터 입니다.파일명 인천광역시_중구_평생학습기관파일내용 기관명, 우편번호, 주소 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15089340&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연락처 has 13 (8.7%) missing valuesMissing
홈페이지 has 41 (27.3%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 02:54:44.218504
Analysis finished2024-03-18 02:54:45.019239
Duration0.8 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct150
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.5
Minimum1
Maximum150
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-18T11:54:45.073838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.45
Q138.25
median75.5
Q3112.75
95-th percentile142.55
Maximum150
Range149
Interquartile range (IQR)74.5

Descriptive statistics

Standard deviation43.445368
Coefficient of variation (CV)0.57543534
Kurtosis-1.2
Mean75.5
Median Absolute Deviation (MAD)37.5
Skewness0
Sum11325
Variance1887.5
MonotonicityStrictly increasing
2024-03-18T11:54:45.370922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
103 1
 
0.7%
104 1
 
0.7%
105 1
 
0.7%
Other values (140) 140
93.3%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
150 1
0.7%
149 1
0.7%
148 1
0.7%
147 1
0.7%
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%

기관명
Text

Distinct148
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-18T11:54:45.582587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length8.8066667
Min length3

Characters and Unicode

Total characters1321
Distinct characters222
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

Unique146 ?
Unique (%)97.3%

Sample

1st row꿈벗도서관
2nd row남부교육지원청 평생교육건강과
3rd row답동성당 노인대학
4th row대한노인회 중구지회부설 노인대학
5th row미추홀문화회관
ValueCountFrequency (%)
중구 5
 
2.7%
작은도서관 5
 
2.7%
인성초등학교 2
 
1.1%
인천 2
 
1.1%
인천학생교육문화회관 2
 
1.1%
제물포고등학교 2
 
1.1%
인천광역시 2
 
1.1%
하늘꿈 2
 
1.1%
노인대학 2
 
1.1%
도서관 2
 
1.1%
Other values (159) 159
85.9%
2024-03-18T11:54:45.917911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 70
 
5.3%
교 53
 
4.0%
학 50
 
3.8%
천 49
 
3.7%
관 44
 
3.3%
중 40
 
3.0%
터 37
 
2.8%
35
 
2.6%
센 35
 
2.6%
등 32
 
2.4%
Other values (212) 876
66.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1271
96.2%
Space Separator 35
 
2.6%
Uppercase Letter 4
 
0.3%
Lowercase Letter 3
 
0.2%
Decimal Number 3
 
0.2%
Other Symbol 2
 
0.2%
Other Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 70
 
5.5%
교 53
 
4.2%
학 50
 
3.9%
천 49
 
3.9%
관 44
 
3.5%
중 40
 
3.1%
터 37
 
2.9%
센 35
 
2.8%
등 32
 
2.5%
도 28
 
2.2%
Other values (202) 833
65.5%
Uppercase Letter
ValueCountFrequency (%)
L 2
50.0%
H 2
50.0%
Lowercase Letter
ValueCountFrequency (%)
c 2
66.7%
k 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%
Other Punctuation
ValueCountFrequency (%)
" 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1273
96.4%
Common 41
 
3.1%
Latin 7
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 70
 
5.5%
교 53
 
4.2%
학 50
 
3.9%
천 49
 
3.8%
관 44
 
3.5%
중 40
 
3.1%
터 37
 
2.9%
센 35
 
2.7%
등 32
 
2.5%
도 28
 
2.2%
Other values (203) 835
65.6%
Common
ValueCountFrequency (%)
35
85.4%
" 2
 
4.9%
1 2
 
4.9%
2 1
 
2.4%
) 1
 
2.4%
Latin
ValueCountFrequency (%)
L 2
28.6%
H 2
28.6%
c 2
28.6%
k 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1271
96.2%
ASCII 48
 
3.6%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 70
 
5.5%
교 53
 
4.2%
학 50
 
3.9%
천 49
 
3.9%
관 44
 
3.5%
중 40
 
3.1%
터 37
 
2.9%
센 35
 
2.8%
등 32
 
2.5%
도 28
 
2.2%
Other values (202) 833
65.5%
ASCII
ValueCountFrequency (%)
35
72.9%
L 2
 
4.2%
H 2
 
4.2%
c 2
 
4.2%
" 2
 
4.2%
1 2
 
4.2%
2 1
 
2.1%
k 1
 
2.1%
) 1
 
2.1%
None
ValueCountFrequency (%)
㈜ 2
100.0%

우편번호
Real number (ℝ)

Distinct54
Distinct (%)36.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22340.467
Minimum22304
Maximum22410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2024-03-18T11:54:46.064214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22304
5-th percentile22309
Q122315
median22325.5
Q322371
95-th percentile22401.55
Maximum22410
Range106
Interquartile range (IQR)56

Descriptive statistics

Standard deviation31.455448
Coefficient of variation (CV)0.0014080032
Kurtosis-0.93180092
Mean22340.467
Median Absolute Deviation (MAD)13.5
Skewness0.75098782
Sum3351070
Variance989.44519
MonotonicityNot monotonic
2024-03-18T11:54:46.214336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22314 15
 
10.0%
22315 9
 
6.0%
22309 9
 
6.0%
22316 7
 
4.7%
22327 6
 
4.0%
22321 6
 
4.0%
22324 5
 
3.3%
22376 5
 
3.3%
22320 5
 
3.3%
22384 5
 
3.3%
Other values (44) 78
52.0%
ValueCountFrequency (%)
22304 2
 
1.3%
22306 1
 
0.7%
22308 2
 
1.3%
22309 9
6.0%
22310 3
 
2.0%
22311 1
 
0.7%
22313 2
 
1.3%
22314 15
10.0%
22315 9
6.0%
22316 7
4.7%
ValueCountFrequency (%)
22410 1
 
0.7%
22408 1
 
0.7%
22407 1
 
0.7%
22406 1
 
0.7%
22402 4
2.7%
22401 1
 
0.7%
22394 2
1.3%
22393 1
 
0.7%
22391 2
1.3%
22390 1
 
0.7%

주소
Text

Distinct142
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2024-03-18T11:54:46.482052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length32
Mean length21.453333
Min length12

Characters and Unicode

Total characters3218
Distinct characters151
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique134 ?
Unique (%)89.3%

Sample

1st row인천광역시 중구 홍예문로 32
2nd row인천광역시 중구 차이나타운로51번길 45 인천광역시남부교육청
3rd row인천광역시 중구 우현로50번길 2
4th row인천광역시 중구 제물량로80번길 3-24 중구노인복지회관
5th row인천광역시 중구 참외전로 100
ValueCountFrequency (%)
중구 151
23.6%
인천광역시 147
22.9%
신포로 7
 
1.1%
2층 6
 
0.9%
우현로 5
 
0.8%
매소홀로 4
 
0.6%
하늘달빛로 4
 
0.6%
21 4
 
0.6%
제물량로 4
 
0.6%
42 3
 
0.5%
Other values (246) 306
47.7%
2024-03-18T11:54:46.879080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
491
 
15.3%
인 169
 
5.3%
중 167
 
5.2%
구 157
 
4.9%
천 157
 
4.9%
시 153
 
4.8%
역 150
 
4.7%
광 149
 
4.6%
로 143
 
4.4%
2 117
 
3.6%
Other values (141) 1365
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2030
63.1%
Decimal Number 603
 
18.7%
Space Separator 491
 
15.3%
Dash Punctuation 35
 
1.1%
Other Punctuation 20
 
0.6%
Open Punctuation 19
 
0.6%
Close Punctuation 19
 
0.6%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 169
 
8.3%
중 167
 
8.2%
구 157
 
7.7%
천 157
 
7.7%
시 153
 
7.5%
역 150
 
7.4%
광 149
 
7.3%
로 143
 
7.0%
번 75
 
3.7%
길 74
 
3.6%
Other values (125) 636
31.3%
Decimal Number
ValueCountFrequency (%)
2 117
19.4%
1 89
14.8%
3 86
14.3%
4 66
10.9%
8 53
8.8%
0 49
8.1%
7 48
8.0%
5 36
 
6.0%
6 33
 
5.5%
9 26
 
4.3%
Space Separator
ValueCountFrequency (%)
491
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 19
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2030
63.1%
Common 1188
36.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 169
 
8.3%
중 167
 
8.2%
구 157
 
7.7%
천 157
 
7.7%
시 153
 
7.5%
역 150
 
7.4%
광 149
 
7.3%
로 143
 
7.0%
번 75
 
3.7%
길 74
 
3.6%
Other values (125) 636
31.3%
Common
ValueCountFrequency (%)
491
41.3%
2 117
 
9.8%
1 89
 
7.5%
3 86
 
7.2%
4 66
 
5.6%
8 53
 
4.5%
0 49
 
4.1%
7 48
 
4.0%
5 36
 
3.0%
- 35
 
2.9%
Other values (6) 118
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2030
63.1%
ASCII 1188
36.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
491
41.3%
2 117
 
9.8%
1 89
 
7.5%
3 86
 
7.2%
4 66
 
5.6%
8 53
 
4.5%
0 49
 
4.1%
7 48
 
4.0%
5 36
 
3.0%
- 35
 
2.9%
Other values (6) 118
 
9.9%
Hangul
ValueCountFrequency (%)
인 169
 
8.3%
중 167
 
8.2%
구 157
 
7.7%
천 157
 
7.7%
시 153
 
7.5%
역 150
 
7.4%
광 149
 
7.3%
로 143
 
7.0%
번 75
 
3.7%
길 74
 
3.6%
Other values (125) 636
31.3%

연락처
Text

MISSING 

Distinct135
Distinct (%)98.5%
Missing13
Missing (%)8.7%
Memory size1.3 KiB
2024-03-18T11:54:47.099282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.043796
Min length12

Characters and Unicode

Total characters1650
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

Unique133 ?
Unique (%)97.1%

Sample

1st row032-764-6111
2nd row032-762-7361
3rd row032-762-7613
4th row032-772-2579
5th row032-765-0250
ValueCountFrequency (%)
032-772-2238 2
 
1.5%
032-760-3410 2
 
1.5%
032-880-2470 1
 
0.7%
032-884-9901 1
 
0.7%
032-773-3800 1
 
0.7%
032-777-9113 1
 
0.7%
032-760-7860 1
 
0.7%
032-746-9901 1
 
0.7%
032-760-1000 1
 
0.7%
032-761-7070 1
 
0.7%
Other values (125) 125
91.2%
2024-03-18T11:54:47.418274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 274
16.6%
- 274
16.6%
2 220
13.3%
3 189
11.5%
7 179
10.8%
6 119
7.2%
4 102
 
6.2%
1 83
 
5.0%
8 82
 
5.0%
5 70
 
4.2%
Other values (2) 58
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1371
83.1%
Dash Punctuation 274
 
16.6%
Space Separator 5
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 274
20.0%
2 220
16.0%
3 189
13.8%
7 179
13.1%
6 119
8.7%
4 102
 
7.4%
1 83
 
6.1%
8 82
 
6.0%
5 70
 
5.1%
9 53
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 274
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1650
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 274
16.6%
- 274
16.6%
2 220
13.3%
3 189
11.5%
7 179
10.8%
6 119
7.2%
4 102
 
6.2%
1 83
 
5.0%
8 82
 
5.0%
5 70
 
4.2%
Other values (2) 58
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1650
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 274
16.6%
- 274
16.6%
2 220
13.3%
3 189
11.5%
7 179
10.8%
6 119
7.2%
4 102
 
6.2%
1 83
 
5.0%
8 82
 
5.0%
5 70
 
4.2%
Other values (2) 58
 
3.5%

홈페이지
Text

MISSING 

Distinct107
Distinct (%)98.2%
Missing41
Missing (%)27.3%
Memory size1.3 KiB
2024-03-18T11:54:47.616478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length78
Median length50
Mean length32.688073
Min length19

Characters and Unicode

Total characters3563
Distinct characters59
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique105 ?
Unique (%)96.3%

Sample

1st rowhttps://www.imla.kr/kb/index.do
2nd rowhttps://nambu.ice.go.kr/Main.do
3rd rowhttp://www.dapdong.or.kr/
4th rowhttp://www.koreapeople.co.kr/Board/areaView?idx=75
5th rowhttp://www.mchart.co.kr/
ValueCountFrequency (%)
http://insung.icees.kr 2
 
1.8%
http://www.goldensenior.or.kr/main/main.html 2
 
1.8%
http://www.moving.or.kr 1
 
0.9%
http://icjg-sports.or.kr 1
 
0.9%
https://cafe.daum.net/dnjfel 1
 
0.9%
https://www.ion.or.kr/rnflq1315/community/notice/list/1 1
 
0.9%
https://www.iecs.go.kr/index.do 1
 
0.9%
https://www.icjg.go.kr/dong/jmsc0112tc 1
 
0.9%
https://www.icjg.go.kr/dong/jmsc0110tc 1
 
0.9%
https://www.icjg.go.kr/dong/jmsc0109tc 1
 
0.9%
Other values (97) 97
89.0%
2024-03-18T11:54:47.944559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 373
 
10.5%
. 312
 
8.8%
t 275
 
7.7%
i 181
 
5.1%
o 174
 
4.9%
r 174
 
4.9%
w 160
 
4.5%
s 158
 
4.4%
h 155
 
4.4%
n 150
 
4.2%
Other values (49) 1451
40.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 2586
72.6%
Other Punctuation 804
 
22.6%
Decimal Number 110
 
3.1%
Uppercase Letter 34
 
1.0%
Connector Punctuation 10
 
0.3%
Math Symbol 10
 
0.3%
Dash Punctuation 9
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 275
 
10.6%
i 181
 
7.0%
o 174
 
6.7%
r 174
 
6.7%
w 160
 
6.2%
s 158
 
6.1%
h 155
 
6.0%
n 150
 
5.8%
e 148
 
5.7%
c 138
 
5.3%
Other values (15) 873
33.8%
Uppercase Letter
ValueCountFrequency (%)
M 7
20.6%
U 4
11.8%
S 3
8.8%
E 3
8.8%
L 2
 
5.9%
T 2
 
5.9%
B 2
 
5.9%
N 2
 
5.9%
P 2
 
5.9%
K 1
 
2.9%
Other values (6) 6
17.6%
Decimal Number
ValueCountFrequency (%)
0 27
24.5%
1 26
23.6%
2 17
15.5%
5 11
10.0%
4 9
 
8.2%
7 6
 
5.5%
8 5
 
4.5%
6 4
 
3.6%
3 3
 
2.7%
9 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
/ 373
46.4%
. 312
38.8%
: 109
 
13.6%
? 8
 
1.0%
& 2
 
0.2%
Connector Punctuation
ValueCountFrequency (%)
_ 10
100.0%
Math Symbol
ValueCountFrequency (%)
= 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 2620
73.5%
Common 943
 
26.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 275
 
10.5%
i 181
 
6.9%
o 174
 
6.6%
r 174
 
6.6%
w 160
 
6.1%
s 158
 
6.0%
h 155
 
5.9%
n 150
 
5.7%
e 148
 
5.6%
c 138
 
5.3%
Other values (31) 907
34.6%
Common
ValueCountFrequency (%)
/ 373
39.6%
. 312
33.1%
: 109
 
11.6%
0 27
 
2.9%
1 26
 
2.8%
2 17
 
1.8%
5 11
 
1.2%
_ 10
 
1.1%
= 10
 
1.1%
- 9
 
1.0%
Other values (8) 39
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3563
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 373
 
10.5%
. 312
 
8.8%
t 275
 
7.7%
i 181
 
5.1%
o 174
 
4.9%
r 174
 
4.9%
w 160
 
4.5%
s 158
 
4.4%
h 155
 
4.4%
n 150
 
4.2%
Other values (49) 1451
40.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2022-10-11 00:00:00
Maximum2022-10-11 00:00:00
2024-03-18T11:54:48.032985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:48.124465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-18T11:54:44.649542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:44.505804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:44.728304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:54:44.579143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T11:54:48.214044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.0000.507
우편번호0.5071.000
2024-03-18T11:54:48.293515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호
연번1.0000.046
우편번호0.0461.000

Missing values

2024-03-18T11:54:44.821997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:54:44.911979image/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.
2024-03-18T11:54:44.983840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

연번기관명우편번호주소연락처홈페이지데이터기준일자
01꿈벗도서관22315인천광역시 중구 홍예문로 32032-764-6111https://www.imla.kr/kb/index.do2022-10-11
12남부교육지원청 평생교육건강과22315인천광역시 중구 차이나타운로51번길 45 인천광역시남부교육청032-762-7361https://nambu.ice.go.kr/Main.do2022-10-11
23답동성당 노인대학22321인천광역시 중구 우현로50번길 2032-762-7613http://www.dapdong.or.kr/2022-10-11
34대한노인회 중구지회부설 노인대학22320인천광역시 중구 제물량로80번길 3-24 중구노인복지회관032-772-2579http://www.koreapeople.co.kr/Board/areaView?idx=752022-10-11
45미추홀문화회관22309인천광역시 중구 참외전로 100032-765-0250http://www.mchart.co.kr/2022-10-11
56성 미가엘종합사회복지관22316인천광역시 중구 송학로 40 성미가엘 종합사회복지관032-766-0981http://www.migael.net/2022-10-11
67영종도서관22366인천광역시 중구 영종대로 85 영종도서관032-745-6000https://www.imla.kr/yj/index.do2022-10-11
78율목도서관22320인천광역시 중구 답동로24번길 17 율목도서관032-770-3800https://www.imla.kr/ym/index.do2022-10-11
89인천광역시 역사자료관22315인천광역시 중구 신포로39번길 74 인천광역시역사자료관032-440-3498http://www.inmuseum.or.kr/kor/museum/index.php?m_code=MUSEUM15420728982022-10-11
910인천근대박물관22314인천광역시 중구 차이나타운로55번길 16032-764-1988https://cafe.daum.net/modernmus2022-10-11
연번기관명우편번호주소연락처홈페이지데이터기준일자
140141이마트동인천점문화센터22324인천광역시 중구 인중로134032-451-1250https://www.cultureclub.emart.com/2022-10-11
141142인천국제공항공사 부설 항공보안교육원22384인천광역시 중구 용유로 557 인천국제공항공사 인재개발원 내 항공보안교육원032-741-2575https://www.airport.kr/co_cnt/ko/majbus/overseas/avicen/avicen.do2022-10-11
142143한국치매예방협회 인천중구지부22329인천광역시 중구 서해대로 456-1, 9-8(신흥동2가)<NA>https://www.chimae.or.kr/2022-10-11
143144국제청소년로봇연맹22402인천광역시 중구 하늘달빛로 82 해송프라자 601호<NA>http://www.world-robot.org/2022-10-11
144145우리랑 놀자22308인천광역시 중구 참외전로13번길 7-38032-761-2421<NA>2022-10-11
145146인천중구체육회22314인천광역시 중구 신포로 27번길 83-1(중앙동1가, 인진빌딩 5층)032-772-5111http://icjg-sports.or.kr/2022-10-11
146147중구지역자활센터22321인천광역시 중구 제물량로 132-2(답동)032-763-1988http://www.junggujahwal.or.kr/wp/2022-10-11
147148무지개장애인주간보호센터22318인천광역시 중구 우현로 62번길 38-3(경동)032-762-3340<NA>2022-10-11
148149다사랑 장애인 공동생활가정22329인천광역시 중구 도원로 14번길 15-1(선화동)032-885-9049<NA>2022-10-11
149150이든단기보호센터22318인천광역시 중구 우현로 62번길 38-3(경동)032-762-3302<NA>2022-10-11