Overview

Dataset statistics

Number of variables8
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory70.6 B

Variable types

Numeric1
Categorical3
Text4

Dataset

Description인천광역시 미추홀구 온마을학교에 대한 데이터로 사업명, 지역, 프로그램명, 교육기간, 교육장소 등을 제공합니다.
URLhttps://www.data.go.kr/data/15086027/fileData.do

Alerts

전화번호 has constant value ""Constant
지역 is highly overall correlated with 정원(명)High correlation
정원(명) is highly overall correlated with 지역High correlation
연번 has unique valuesUnique
프로그램명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:35:39.458049
Analysis finished2023-12-12 20:35:40.184689
Duration0.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum1
Maximum29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T05:35:40.244089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.4
Q18
median15
Q322
95-th percentile27.6
Maximum29
Range28
Interquartile range (IQR)14

Descriptive statistics

Standard deviation8.5146932
Coefficient of variation (CV)0.56764621
Kurtosis-1.2
Mean15
Median Absolute Deviation (MAD)7
Skewness0
Sum435
Variance72.5
MonotonicityStrictly increasing
2023-12-13T05:35:40.404638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
1 1
 
3.4%
2 1
 
3.4%
29 1
 
3.4%
28 1
 
3.4%
27 1
 
3.4%
26 1
 
3.4%
25 1
 
3.4%
24 1
 
3.4%
23 1
 
3.4%
22 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
1 1
3.4%
2 1
3.4%
3 1
3.4%
4 1
3.4%
5 1
3.4%
6 1
3.4%
7 1
3.4%
8 1
3.4%
9 1
3.4%
10 1
3.4%
ValueCountFrequency (%)
29 1
3.4%
28 1
3.4%
27 1
3.4%
26 1
3.4%
25 1
3.4%
24 1
3.4%
23 1
3.4%
22 1
3.4%
21 1
3.4%
20 1
3.4%

지역
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
용현5동
6 
도화2.3동
4 
용현1.4동
3 
학익1동
3 
숭의4동
2 
Other values (9)
11 

Length

Max length6
Median length4
Mean length4.5172414
Min length3

Unique

Unique7 ?
Unique (%)24.1%

Sample

1st row용현5동
2nd row학익2동
3rd row주안5동
4th row숭의4동
5th row숭의4동

Common Values

ValueCountFrequency (%)
용현5동 6
20.7%
도화2.3동 4
13.8%
용현1.4동 3
10.3%
학익1동 3
10.3%
숭의4동 2
 
6.9%
주안1동 2
 
6.9%
주안4동 2
 
6.9%
학익2동 1
 
3.4%
주안5동 1
 
3.4%
주안3동 1
 
3.4%
Other values (4) 4
13.8%

Length

2023-12-13T05:35:40.533517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
용현5동 6
20.7%
도화2.3동 4
13.8%
용현1.4동 3
10.3%
학익1동 3
10.3%
숭의4동 2
 
6.9%
주안1동 2
 
6.9%
주안4동 2
 
6.9%
학익2동 1
 
3.4%
주안5동 1
 
3.4%
주안3동 1
 
3.4%
Other values (4) 4
13.8%

프로그램명
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:35:40.827817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length16
Mean length12.758621
Min length4

Characters and Unicode

Total characters370
Distinct characters145
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row파릇파릇 새싹 텃밭과 생태체험 및 원예교실
2nd row그림책으로 풍덩
3rd row공예교실
4th row마을에서 행복찾기
5th row나도 디자이너&일러스트레이터 진로 체험 교실
ValueCountFrequency (%)
교실 4
 
4.3%
배우는 3
 
3.2%
우리마을 3
 
3.2%
미추홀 3
 
3.2%
생태 2
 
2.1%
마을 2
 
2.1%
마을에서 2
 
2.1%
놀이터 2
 
2.1%
실로 1
 
1.1%
천과 1
 
1.1%
Other values (71) 71
75.5%
2023-12-13T05:35:41.270740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
66
 
17.8%
마 14
 
3.8%
로 11
 
3.0%
을 11
 
3.0%
실 11
 
3.0%
우 9
 
2.4%
미 8
 
2.2%
교 8
 
2.2%
나 7
 
1.9%
리 7
 
1.9%
Other values (135) 218
58.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 293
79.2%
Space Separator 66
 
17.8%
Uppercase Letter 4
 
1.1%
Other Punctuation 3
 
0.8%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%
Initial Punctuation 1
 
0.3%
Final Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
마 14
 
4.8%
로 11
 
3.8%
을 11
 
3.8%
실 11
 
3.8%
우 9
 
3.1%
미 8
 
2.7%
교 8
 
2.7%
나 7
 
2.4%
리 7
 
2.4%
이 7
 
2.4%
Other values (125) 200
68.3%
Other Punctuation
ValueCountFrequency (%)
, 1
33.3%
. 1
33.3%
& 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
A 2
50.0%
I 2
50.0%
Space Separator
ValueCountFrequency (%)
66
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
“ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
” 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 292
78.9%
Common 73
 
19.7%
Latin 4
 
1.1%
Han 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
마 14
 
4.8%
로 11
 
3.8%
을 11
 
3.8%
실 11
 
3.8%
우 9
 
3.1%
미 8
 
2.7%
교 8
 
2.7%
나 7
 
2.4%
리 7
 
2.4%
이 7
 
2.4%
Other values (124) 199
68.2%
Common
ValueCountFrequency (%)
66
90.4%
) 1
 
1.4%
( 1
 
1.4%
“ 1
 
1.4%
” 1
 
1.4%
, 1
 
1.4%
. 1
 
1.4%
& 1
 
1.4%
Latin
ValueCountFrequency (%)
A 2
50.0%
I 2
50.0%
Han
ValueCountFrequency (%)
多 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 292
78.9%
ASCII 75
 
20.3%
Punctuation 2
 
0.5%
CJK 1
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
66
88.0%
A 2
 
2.7%
I 2
 
2.7%
) 1
 
1.3%
( 1
 
1.3%
, 1
 
1.3%
. 1
 
1.3%
& 1
 
1.3%
Hangul
ValueCountFrequency (%)
마 14
 
4.8%
로 11
 
3.8%
을 11
 
3.8%
실 11
 
3.8%
우 9
 
3.1%
미 8
 
2.7%
교 8
 
2.7%
나 7
 
2.4%
리 7
 
2.4%
이 7
 
2.4%
Other values (124) 199
68.2%
Punctuation
ValueCountFrequency (%)
“ 1
50.0%
” 1
50.0%
CJK
ValueCountFrequency (%)
多 1
100.0%

교육기간 및 시간
Text

Distinct23
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:35:41.474488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length45
Mean length22.206897
Min length15

Characters and Unicode

Total characters644
Distinct characters35
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)69.0%

Sample

1st row토요일 10:00~11:30
2nd row1기, 3기 토요일 10:00~11:30 / 2기 화요일+토요일 10:00~11:30
3rd row토요일 10:00~11:30
4th row토요일 10:30~12:00
5th row1기, 3기 토요일 11:00~12:30 / 2기 목요일 16:30~18:00
ValueCountFrequency (%)
토요일 16
18.2%
10:00~11:30 8
 
9.1%
6
 
6.8%
10:00~12:00 6
 
6.8%
16:00~17:30 5
 
5.7%
수요일 4
 
4.5%
10:30~12:00 4
 
4.5%
화요일 4
 
4.5%
2기 3
 
3.4%
1기 3
 
3.4%
Other values (22) 29
33.0%
2023-12-13T05:35:41.873479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 130
20.2%
1 80
12.4%
70
10.9%
: 68
10.6%
일 48
 
7.5%
요 47
 
7.3%
~ 34
 
5.3%
3 28
 
4.3%
토 19
 
3.0%
+ 16
 
2.5%
Other values (25) 104
16.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
43.5%
Other Letter 168
26.1%
Other Punctuation 76
 
11.8%
Space Separator 70
 
10.9%
Math Symbol 50
 
7.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
일 48
28.6%
요 47
28.0%
토 19
 
11.3%
화 10
 
6.0%
기 8
 
4.8%
수 8
 
4.8%
금 5
 
3.0%
목 5
 
3.0%
월 4
 
2.4%
방 2
 
1.2%
Other values (10) 12
 
7.1%
Decimal Number
ValueCountFrequency (%)
0 130
46.4%
1 80
28.6%
3 28
 
10.0%
2 14
 
5.0%
6 11
 
3.9%
7 7
 
2.5%
8 5
 
1.8%
5 4
 
1.4%
4 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
: 68
89.5%
/ 6
 
7.9%
, 2
 
2.6%
Math Symbol
ValueCountFrequency (%)
~ 34
68.0%
+ 16
32.0%
Space Separator
ValueCountFrequency (%)
70
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 476
73.9%
Hangul 168
 
26.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
일 48
28.6%
요 47
28.0%
토 19
 
11.3%
화 10
 
6.0%
기 8
 
4.8%
수 8
 
4.8%
금 5
 
3.0%
목 5
 
3.0%
월 4
 
2.4%
방 2
 
1.2%
Other values (10) 12
 
7.1%
Common
ValueCountFrequency (%)
0 130
27.3%
1 80
16.8%
70
14.7%
: 68
14.3%
~ 34
 
7.1%
3 28
 
5.9%
+ 16
 
3.4%
2 14
 
2.9%
6 11
 
2.3%
7 7
 
1.5%
Other values (5) 18
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 476
73.9%
Hangul 168
 
26.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 130
27.3%
1 80
16.8%
70
14.7%
: 68
14.3%
~ 34
 
7.1%
3 28
 
5.9%
+ 16
 
3.4%
2 14
 
2.9%
6 11
 
2.3%
7 7
 
1.5%
Other values (5) 18
 
3.8%
Hangul
ValueCountFrequency (%)
일 48
28.6%
요 47
28.0%
토 19
 
11.3%
화 10
 
6.0%
기 8
 
4.8%
수 8
 
4.8%
금 5
 
3.0%
목 5
 
3.0%
월 4
 
2.4%
방 2
 
1.2%
Other values (10) 12
 
7.1%

교육장소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:35:42.128414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length30
Mean length25.103448
Min length17

Characters and Unicode

Total characters728
Distinct characters110
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row인천광역시 미추홀구 매소홀로 155
2nd row인천광역시 미추홀구 한나루로 444
3rd row인천광역시 미추홀구 길파로27번길 30
4th row인천광역시 미추홀구 경인로 129 제물포 지하상가
5th row인천광역시 미추홀구 독정이로100번길 19
ValueCountFrequency (%)
미추홀구 31
21.2%
인천광역시 30
20.5%
43 3
 
2.1%
인하로 3
 
2.1%
경인로 2
 
1.4%
인주대로 2
 
1.4%
174번길 2
 
1.4%
25 2
 
1.4%
20 2
 
1.4%
토금남로 2
 
1.4%
Other values (63) 67
45.9%
2023-12-13T05:35:42.460929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
117
 
16.1%
인 40
 
5.5%
홀 37
 
5.1%
미 35
 
4.8%
추 35
 
4.8%
구 33
 
4.5%
광 30
 
4.1%
역 30
 
4.1%
시 30
 
4.1%
천 30
 
4.1%
Other values (100) 311
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
68.4%
Space Separator 117
 
16.1%
Decimal Number 107
 
14.7%
Dash Punctuation 3
 
0.4%
Other Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 40
 
8.0%
홀 37
 
7.4%
미 35
 
7.0%
추 35
 
7.0%
구 33
 
6.6%
광 30
 
6.0%
역 30
 
6.0%
시 30
 
6.0%
천 30
 
6.0%
로 29
 
5.8%
Other values (86) 169
33.9%
Decimal Number
ValueCountFrequency (%)
2 22
20.6%
1 16
15.0%
5 15
14.0%
3 11
10.3%
4 11
10.3%
0 11
10.3%
7 9
8.4%
8 6
 
5.6%
6 4
 
3.7%
9 2
 
1.9%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
117
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
68.4%
Common 230
31.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 40
 
8.0%
홀 37
 
7.4%
미 35
 
7.0%
추 35
 
7.0%
구 33
 
6.6%
광 30
 
6.0%
역 30
 
6.0%
시 30
 
6.0%
천 30
 
6.0%
로 29
 
5.8%
Other values (86) 169
33.9%
Common
ValueCountFrequency (%)
117
50.9%
2 22
 
9.6%
1 16
 
7.0%
5 15
 
6.5%
3 11
 
4.8%
4 11
 
4.8%
0 11
 
4.8%
7 9
 
3.9%
8 6
 
2.6%
6 4
 
1.7%
Other values (4) 8
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
68.4%
ASCII 230
31.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
117
50.9%
2 22
 
9.6%
1 16
 
7.0%
5 15
 
6.5%
3 11
 
4.8%
4 11
 
4.8%
0 11
 
4.8%
7 9
 
3.9%
8 6
 
2.6%
6 4
 
1.7%
Other values (4) 8
 
3.5%
Hangul
ValueCountFrequency (%)
인 40
 
8.0%
홀 37
 
7.4%
미 35
 
7.0%
추 35
 
7.0%
구 33
 
6.6%
광 30
 
6.0%
역 30
 
6.0%
시 30
 
6.0%
천 30
 
6.0%
로 29
 
5.8%
Other values (86) 169
33.9%

교육대상
Text

Distinct18
Distinct (%)62.1%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T05:35:42.618598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length4.6551724
Min length4

Characters and Unicode

Total characters135
Distinct characters9
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)37.9%

Sample

1st row초1~6
2nd row초1~중1
3rd row초3~6
4th row초4~6
5th row초4~중3
ValueCountFrequency (%)
초3~6 3
 
10.3%
초1~중3 3
 
10.3%
초4~중1 3
 
10.3%
초2~6 3
 
10.3%
초1~6 2
 
6.9%
초4~6 2
 
6.9%
초1~초6 2
 
6.9%
초3~초6 1
 
3.4%
초2~초4 1
 
3.4%
초5~중2 1
 
3.4%
Other values (8) 8
27.6%
2023-12-13T05:35:42.886076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
초 36
26.7%
~ 29
21.5%
6 15
11.1%
1 13
 
9.6%
중 12
 
8.9%
3 10
 
7.4%
4 10
 
7.4%
2 7
 
5.2%
5 3
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 58
43.0%
Other Letter 48
35.6%
Math Symbol 29
21.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 15
25.9%
1 13
22.4%
3 10
17.2%
4 10
17.2%
2 7
12.1%
5 3
 
5.2%
Other Letter
ValueCountFrequency (%)
초 36
75.0%
중 12
 
25.0%
Math Symbol
ValueCountFrequency (%)
~ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 87
64.4%
Hangul 48
35.6%

Most frequent character per script

Common
ValueCountFrequency (%)
~ 29
33.3%
6 15
17.2%
1 13
14.9%
3 10
 
11.5%
4 10
 
11.5%
2 7
 
8.0%
5 3
 
3.4%
Hangul
ValueCountFrequency (%)
초 36
75.0%
중 12
 
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 87
64.4%
Hangul 48
35.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
초 36
75.0%
중 12
 
25.0%
ASCII
ValueCountFrequency (%)
~ 29
33.3%
6 15
17.2%
1 13
14.9%
3 10
 
11.5%
4 10
 
11.5%
2 7
 
8.0%
5 3
 
3.4%

정원(명)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)17.2%
Missing0
Missing (%)0.0%
Memory size364.0 B
10
14 
15
8 
20
5 
12
 
1
13
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique2 ?
Unique (%)6.9%

Sample

1st row15
2nd row20
3rd row15
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 14
48.3%
15 8
27.6%
20 5
 
17.2%
12 1
 
3.4%
13 1
 
3.4%

Length

2023-12-13T05:35:43.003522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:43.100355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 14
48.3%
15 8
27.6%
20 5
 
17.2%
12 1
 
3.4%
13 1
 
3.4%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
032-728-6541
29 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row032-728-6541
2nd row032-728-6541
3rd row032-728-6541
4th row032-728-6541
5th row032-728-6541

Common Values

ValueCountFrequency (%)
032-728-6541 29
100.0%

Length

2023-12-13T05:35:43.216514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:35:43.301419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
032-728-6541 29
100.0%

Interactions

2023-12-13T05:35:39.847781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:35:43.362194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역프로그램명교육기간 및 시간교육장소교육대상정원(명)
연번1.0000.5641.0000.6011.0000.0000.565
지역0.5641.0001.0000.0001.0000.0000.914
프로그램명1.0001.0001.0001.0001.0001.0001.000
교육기간 및 시간0.6010.0001.0001.0000.9440.9730.000
교육장소1.0001.0001.0000.9441.0000.9520.944
교육대상0.0000.0001.0000.9730.9521.0000.000
정원(명)0.5650.9141.0000.0000.9440.0001.000
2023-12-13T05:35:43.460054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지역정원(명)
지역1.0000.605
정원(명)0.6051.000
2023-12-13T05:35:43.533855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역정원(명)
연번1.0000.0970.000
지역0.0971.0000.605
정원(명)0.0000.6051.000

Missing values

2023-12-13T05:35:39.988355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:35:40.133124image/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

연번지역프로그램명교육기간 및 시간교육장소교육대상정원(명)전화번호
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12학익2동그림책으로 풍덩1기, 3기 토요일 10:00~11:30 / 2기 화요일+토요일 10:00~11:30인천광역시 미추홀구 한나루로 444초1~중120032-728-6541
23주안5동공예교실토요일 10:00~11:30인천광역시 미추홀구 길파로27번길 30초3~615032-728-6541
34숭의4동마을에서 행복찾기토요일 10:30~12:00인천광역시 미추홀구 경인로 129 제물포 지하상가초4~610032-728-6541
45숭의4동나도 디자이너&일러스트레이터 진로 체험 교실1기, 3기 토요일 11:00~12:30 / 2기 목요일 16:30~18:00인천광역시 미추홀구 독정이로100번길 19초4~중310032-728-6541
56용현1.4동메타버스 미추홀 우리마을화요일 16:00~18:00인천광역시 미추홀구 인하로 126초4~중110032-728-6541
67주안3동마을 숲 생태 탐방 환경 교실토요일 10:30~12:00인천광역시 미추홀구 주안동 817-2 미추홀근린공원초1~620032-728-6541
78주안1동우리동네 가로수와 놀자화요일 15:30~17:00인천광역시 미추홀구 석바위로 78초3~615032-728-6541
89용현5동미추 A.I와 만나다수요일 16:30~18:00인천광역시 미추홀구 토금남로 83초4~610032-728-6541
910도화2.3동미추홀의 미래를 코딩하다목요일 16:00~17:30인천광역시 미추홀구 석정로150번길 43초4~중110032-728-6541
연번지역프로그램명교육기간 및 시간교육장소교육대상정원(명)전화번호
1920숭의1.3동절기로 배우는 제철음식과 꽃평일반 수요일 16:00~17:30 / 방학반 화요일+금요일 16:00~17:30인천광역시 미추홀구 경인로 63초1~중313032-728-6541
2021용현5동마자마자 놀이터1기 화요일+목요일 10:00~12:00 / 2기 수요일+금요일 10:00~12:001기 인천광역시 미추홀구 토금남로 82 용비도서관 / 2기 인천광역시 미추홀구 용정공원로33 하늘나래작은도서관초2~초420032-728-6541
2122주안7동신기영어교실화요일+금요일 15:30~17:00인천광역시 미추홀구 인하로 252 신기교회초5~초610032-728-6541
2223학익1동다 多가치 만나요 우리마을 생태토요일 10:00~12:00인천광역시 미추홀구 학익1동 행정복지센터 인근초1~초615032-728-6541
2324학익1동나만의 힐링 마블토요일 10:00~11:30인천광역시 미추홀구 소성로 208초1~중315032-728-6541
2425용현5동심심 마실 꿀잼 놀이터토요일 14:00~16:00인천광역시 미추홀구 낙섬중로 17초3~초620032-728-6541
2526주안4동드론 오락실토요일 10:00~12:00인천광역시 미추홀구 미추홀대로575번길 106-5 3층 초등부실초1~초615032-728-6541
2627도화2.3동상상대로 그린 미추홀월요일+수요일+금요일 10:00~11:30인천광역시 미추홀구 석정로 150번길 43, 2층 아썸아이티초5~중215032-728-6541
2728주안1동AI와 로봇으로 배우는 미추홀수요일 16:00~17:30인천광역시 미추홀구 경인로42번길 23 미추홀구청소년수련관초4~초620032-728-6541
2829도화2.3동메타버스로 떠나는 우리마을월요일+화요일+수요일+목요일 10:00~12:00 / 토요일 10:00~12:00인천광역시 미추홀구 석정로 150번길 43, 2층 아썸아이티초4~중110032-728-6541