Overview

Dataset statistics

Number of variables8
Number of observations98
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.3 KiB
Average record size in memory66.3 B

Variable types

Numeric1
Categorical2
Text5

Dataset

Description인천광역시 서구 관내학교 현황에 대한 데이터셋입니다. 인천광역시 서구에 위치한 관내학교의 구분, 학교명, 학생수, 소재지, 교무실 전화번호, 행정실 전화번호에 대한 정보를 포함하고 있습니다..
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15068802&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 구분High correlation
구분 is highly overall correlated with 연번High correlation
행정실 전화번호 has 1 (1.0%) missing valuesMissing
연번 has unique valuesUnique
학교명 has unique valuesUnique
소재지 has unique valuesUnique
교무실 전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-28 07:18:29.391954
Analysis finished2024-01-28 07:18:30.014103
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.5
Minimum1
Maximum98
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1014.0 B
2024-01-28T16:18:30.085011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.85
Q125.25
median49.5
Q373.75
95-th percentile93.15
Maximum98
Range97
Interquartile range (IQR)48.5

Descriptive statistics

Standard deviation28.434134
Coefficient of variation (CV)0.57442696
Kurtosis-1.2
Mean49.5
Median Absolute Deviation (MAD)24.5
Skewness0
Sum4851
Variance808.5
MonotonicityStrictly increasing
2024-01-28T16:18:30.193182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
75 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
Other values (88) 88
89.8%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%

구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size916.0 B
초등학교
52 
중학교
27 
고등학교
19 

Length

Max length4
Median length4
Mean length3.7244898
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
초등학교 52
53.1%
중학교 27
27.6%
고등학교 19
 
19.4%

Length

2024-01-28T16:18:30.298742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:18:30.378685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
초등학교 52
53.1%
중학교 27
27.6%
고등학교 19
 
19.4%

학교명
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2024-01-28T16:18:30.531704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.4693878
Min length5

Characters and Unicode

Total characters732
Distinct characters91
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row인천가림초등학교
2nd row인천가석초등학교
3rd row인천가원초등학교
4th row인천가정초등학교
5th row인천가좌초등학교
ValueCountFrequency (%)
인천가림초등학교 1
 
1.0%
인천청라중학교 1
 
1.0%
인천아라중학교 1
 
1.0%
인천석남중학교 1
 
1.0%
인천당하중학교 1
 
1.0%
인천경연중학교 1
 
1.0%
인천가현중학교 1
 
1.0%
인천가좌여자중학교 1
 
1.0%
원당중학교 1
 
1.0%
신현중학교 1
 
1.0%
Other values (88) 88
89.8%
2024-01-28T16:18:30.813806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
학 98
13.4%
교 98
13.4%
인 80
10.9%
천 79
10.8%
등 71
 
9.7%
초 55
 
7.5%
중 27
 
3.7%
고 19
 
2.6%
가 13
 
1.8%
원 8
 
1.1%
Other values (81) 184
25.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 732
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
학 98
13.4%
교 98
13.4%
인 80
10.9%
천 79
10.8%
등 71
 
9.7%
초 55
 
7.5%
중 27
 
3.7%
고 19
 
2.6%
가 13
 
1.8%
원 8
 
1.1%
Other values (81) 184
25.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 732
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
학 98
13.4%
교 98
13.4%
인 80
10.9%
천 79
10.8%
등 71
 
9.7%
초 55
 
7.5%
중 27
 
3.7%
고 19
 
2.6%
가 13
 
1.8%
원 8
 
1.1%
Other values (81) 184
25.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 732
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
학 98
13.4%
교 98
13.4%
인 80
10.9%
천 79
10.8%
등 71
 
9.7%
초 55
 
7.5%
중 27
 
3.7%
고 19
 
2.6%
가 13
 
1.8%
원 8
 
1.1%
Other values (81) 184
25.1%

학생수
Text

Distinct93
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size916.0 B
2024-01-28T16:18:31.051632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.1938776
Min length3

Characters and Unicode

Total characters313
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)89.8%

Sample

1st row301
2nd row280
3rd row1640
4th row795
5th row488
ValueCountFrequency (%)
595 2
 
2.0%
270 2
 
2.0%
965 2
 
2.0%
906 2
 
2.0%
414 2
 
2.0%
378 1
 
1.0%
357 1
 
1.0%
1093 1
 
1.0%
415 1
 
1.0%
347 1
 
1.0%
Other values (83) 83
84.7%
2024-01-28T16:18:31.383036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 38
12.1%
3 38
12.1%
1 33
10.5%
8 33
10.5%
0 31
9.9%
9 30
9.6%
2 30
9.6%
5 28
8.9%
6 27
8.6%
7 24
7.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
99.7%
Other Punctuation 1
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 38
12.2%
3 38
12.2%
1 33
10.6%
8 33
10.6%
0 31
9.9%
9 30
9.6%
2 30
9.6%
5 28
9.0%
6 27
8.7%
7 24
7.7%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 313
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
4 38
12.1%
3 38
12.1%
1 33
10.5%
8 33
10.5%
0 31
9.9%
9 30
9.6%
2 30
9.6%
5 28
8.9%
6 27
8.6%
7 24
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 313
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 38
12.1%
3 38
12.1%
1 33
10.5%
8 33
10.5%
0 31
9.9%
9 30
9.6%
2 30
9.6%
5 28
8.9%
6 27
8.6%
7 24
7.7%

소재지
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2024-01-28T16:18:31.608043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length35
Mean length30.163265
Min length15

Characters and Unicode

Total characters2956
Distinct characters107
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique98 ?
Unique (%)100.0%

Sample

1st row인천광역시 서구 장고개로 293번길 29(가좌동 231번지)
2nd row인천광역시 서구 서달로 174(가정3동 430-37번지)
3rd row인천광역시 서구 청중로 478번길 6(가정동 605-1번지)
4th row인천광역시 서구 장고개로 336-1(가좌동 395-4번지)
5th row인천광역시 서구 장고개로309번길 5(가좌동 30-87번지)
ValueCountFrequency (%)
인천광역시 98
 
18.8%
서구 98
 
18.8%
서달로 6
 
1.2%
승학로 5
 
1.0%
고산후로 4
 
0.8%
서곶로 4
 
0.8%
건지로 4
 
0.8%
염곡로 4
 
0.8%
청마로 3
 
0.6%
완정로 3
 
0.6%
Other values (266) 292
56.0%
2024-01-28T16:18:31.919853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
425
 
14.4%
1 145
 
4.9%
서 118
 
4.0%
로 107
 
3.6%
2 105
 
3.6%
번 101
 
3.4%
구 100
 
3.4%
동 98
 
3.3%
인 98
 
3.3%
천 98
 
3.3%
Other values (97) 1561
52.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1539
52.1%
Decimal Number 720
24.4%
Space Separator 425
 
14.4%
Open Punctuation 97
 
3.3%
Close Punctuation 97
 
3.3%
Dash Punctuation 78
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 118
 
7.7%
로 107
 
7.0%
번 101
 
6.6%
구 100
 
6.5%
동 98
 
6.4%
인 98
 
6.4%
천 98
 
6.4%
시 98
 
6.4%
역 98
 
6.4%
광 98
 
6.4%
Other values (83) 525
34.1%
Decimal Number
ValueCountFrequency (%)
1 145
20.1%
2 105
14.6%
3 89
12.4%
4 86
11.9%
0 60
8.3%
7 56
 
7.8%
9 53
 
7.4%
5 51
 
7.1%
6 42
 
5.8%
8 33
 
4.6%
Space Separator
ValueCountFrequency (%)
425
100.0%
Open Punctuation
ValueCountFrequency (%)
( 97
100.0%
Close Punctuation
ValueCountFrequency (%)
) 97
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1539
52.1%
Common 1417
47.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 118
 
7.7%
로 107
 
7.0%
번 101
 
6.6%
구 100
 
6.5%
동 98
 
6.4%
인 98
 
6.4%
천 98
 
6.4%
시 98
 
6.4%
역 98
 
6.4%
광 98
 
6.4%
Other values (83) 525
34.1%
Common
ValueCountFrequency (%)
425
30.0%
1 145
 
10.2%
2 105
 
7.4%
( 97
 
6.8%
) 97
 
6.8%
3 89
 
6.3%
4 86
 
6.1%
- 78
 
5.5%
0 60
 
4.2%
7 56
 
4.0%
Other values (4) 179
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1539
52.1%
ASCII 1417
47.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
425
30.0%
1 145
 
10.2%
2 105
 
7.4%
( 97
 
6.8%
) 97
 
6.8%
3 89
 
6.3%
4 86
 
6.1%
- 78
 
5.5%
0 60
 
4.2%
7 56
 
4.0%
Other values (4) 179
12.6%
Hangul
ValueCountFrequency (%)
서 118
 
7.7%
로 107
 
7.0%
번 101
 
6.6%
구 100
 
6.5%
동 98
 
6.4%
인 98
 
6.4%
천 98
 
6.4%
시 98
 
6.4%
역 98
 
6.4%
광 98
 
6.4%
Other values (83) 525
34.1%

교무실 전화번호
Text

UNIQUE 

Distinct98
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2024-01-28T16:18:32.135499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010204
Min length12

Characters and Unicode

Total characters1177
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

Unique98 ?
Unique (%)100.0%

Sample

1st row032-571-6230
2nd row032-583-0271
3rd row032-569-6436
4th row032-576-9980
5th row032-576-7094
ValueCountFrequency (%)
032-571-6230 1
 
1.0%
032-561-1973 1
 
1.0%
032-457-1523 1
 
1.0%
032-584-1831 1
 
1.0%
032-627-8058 1
 
1.0%
032-510-7233 1
 
1.0%
032-571-9901 1
 
1.0%
032-573-5976 1
 
1.0%
032-564-5422 1
 
1.0%
032-575-0379 1
 
1.0%
Other values (88) 88
89.8%
2024-01-28T16:18:32.436820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 196
16.7%
0 173
14.7%
2 161
13.7%
3 142
12.1%
5 108
9.2%
6 101
8.6%
7 76
 
6.5%
8 62
 
5.3%
1 56
 
4.8%
9 56
 
4.8%
Other values (2) 46
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 980
83.3%
Dash Punctuation 196
 
16.7%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 173
17.7%
2 161
16.4%
3 142
14.5%
5 108
11.0%
6 101
10.3%
7 76
7.8%
8 62
 
6.3%
1 56
 
5.7%
9 56
 
5.7%
4 45
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 196
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1177
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 196
16.7%
0 173
14.7%
2 161
13.7%
3 142
12.1%
5 108
9.2%
6 101
8.6%
7 76
 
6.5%
8 62
 
5.3%
1 56
 
4.8%
9 56
 
4.8%
Other values (2) 46
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1177
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 196
16.7%
0 173
14.7%
2 161
13.7%
3 142
12.1%
5 108
9.2%
6 101
8.6%
7 76
 
6.5%
8 62
 
5.3%
1 56
 
4.8%
9 56
 
4.8%
Other values (2) 46
 
3.9%

행정실 전화번호
Text

MISSING 

Distinct97
Distinct (%)100.0%
Missing1
Missing (%)1.0%
Memory size916.0 B
2024-01-28T16:18:32.639751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.010309
Min length12

Characters and Unicode

Total characters1165
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

Unique97 ?
Unique (%)100.0%

Sample

1st row032-571-6230
2nd row032-583-0274
3rd row032-569-6436
4th row032-577-1826
5th row032-576-3257
ValueCountFrequency (%)
032-571-6230 1
 
1.0%
032-563-9602 1
 
1.0%
032-580-2819 1
 
1.0%
032-457-1505 1
 
1.0%
032-584-1830 1
 
1.0%
032-569-2136 1
 
1.0%
032-510-7223 1
 
1.0%
032-571-9934 1
 
1.0%
032-627-7076 1
 
1.0%
032-564-5411 1
 
1.0%
Other values (87) 87
89.7%
2024-01-28T16:18:32.934131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 194
16.7%
2 175
15.0%
0 169
14.5%
3 135
11.6%
6 102
8.8%
5 98
8.4%
7 76
 
6.5%
8 67
 
5.8%
9 60
 
5.2%
1 45
 
3.9%
Other values (2) 44
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 970
83.3%
Dash Punctuation 194
 
16.7%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 175
18.0%
0 169
17.4%
3 135
13.9%
6 102
10.5%
5 98
10.1%
7 76
7.8%
8 67
 
6.9%
9 60
 
6.2%
1 45
 
4.6%
4 43
 
4.4%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1165
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 194
16.7%
2 175
15.0%
0 169
14.5%
3 135
11.6%
6 102
8.8%
5 98
8.4%
7 76
 
6.5%
8 67
 
5.8%
9 60
 
5.2%
1 45
 
3.9%
Other values (2) 44
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1165
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 194
16.7%
2 175
15.0%
0 169
14.5%
3 135
11.6%
6 102
8.8%
5 98
8.4%
7 76
 
6.5%
8 67
 
5.8%
9 60
 
5.2%
1 45
 
3.9%
Other values (2) 44
 
3.8%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size916.0 B
2023-10-13
98 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-10-13
2nd row2023-10-13
3rd row2023-10-13
4th row2023-10-13
5th row2023-10-13

Common Values

ValueCountFrequency (%)
2023-10-13 98
100.0%

Length

2024-01-28T16:18:33.039513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T16:18:33.122517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-10-13 98
100.0%

Interactions

2024-01-28T16:18:29.755204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T16:18:33.179542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분학교명학생수소재지교무실 전화번호행정실 전화번호
연번1.0000.9511.0000.6111.0001.0001.000
구분0.9511.0001.0000.9001.0001.0001.000
학교명1.0001.0001.0001.0001.0001.0001.000
학생수0.6110.9001.0001.0001.0001.0001.000
소재지1.0001.0001.0001.0001.0001.0001.000
교무실 전화번호1.0001.0001.0001.0001.0001.0001.000
행정실 전화번호1.0001.0001.0001.0001.0001.0001.000
2024-01-28T16:18:33.271157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분
연번1.0000.908
구분0.9081.000

Missing values

2024-01-28T16:18:29.844987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T16:18:29.968372image/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

연번구분학교명학생수소재지교무실 전화번호행정실 전화번호데이터기준일자
01초등학교인천가림초등학교301인천광역시 서구 장고개로 293번길 29(가좌동 231번지)032-571-6230032-571-62302023-10-13
12초등학교인천가석초등학교280인천광역시 서구 서달로 174(가정3동 430-37번지)032-583-0271032-583-02742023-10-13
23초등학교인천가원초등학교1640인천광역시 서구 청중로 478번길 6(가정동 605-1번지)032-569-6436032-569-64362023-10-13
34초등학교인천가정초등학교795인천광역시 서구 장고개로 336-1(가좌동 395-4번지)032-576-9980032-577-18262023-10-13
45초등학교인천가좌초등학교488인천광역시 서구 장고개로309번길 5(가좌동 30-87번지)032-576-7094032-576-32572023-10-13
56초등학교인천가현초등학교1630인천광역시 서구 염곡로 417(신현동 2-103번지)032-579-7388032-579-73882023-10-13
67초등학교인천간재울초등학교1273인천광역시 서구 승학로 433(검암동 629-3번지)032-628-7385032-628-73872023-10-13
78초등학교인천건지초등학교283인천광역시 서구 건지로 318번길 39(가좌동 200번지)032-628-5855032-628-58132023-10-13
89초등학교인천검단초등학교796인천광역시 서구 마전로 115번길 24(마전동 147-1번지)032-563-5988032-562-19222023-10-13
910초등학교인천검암초등학교270인천광역시 서구 승학로 599번길 45(검암동 495번지)032-564-5337032-566-84002023-10-13
연번구분학교명학생수소재지교무실 전화번호행정실 전화번호데이터기준일자
8889고등학교인천청라고등학교923인천광역시 서구 담지로 86(청라동 137-2)032-568-9692032-568-96912023-10-13
8990고등학교인천초은고등학교888인천광역시 서구 청라에메랄드로 42(청라동 193-2)032-562-3471032-562-30022023-10-13
9091고등학교인천해원고등학교850인천광역시 서구 청라사파이어로 140번길 25(청라동103-5)032-590-7616032-590-76042023-10-13
9192고등학교인천체육고등학교270인천광역시 서구 로봇랜드로 473(청라동 5-3)032-874-0242032-872-86982023-10-13
9293고등학교인천디자인고등학교657인천광역시 서구 대평로 56번길 10(연희동 744-1)032-560-1600032-560-15002023-10-13
9394고등학교대인고등학교999인천광역시 서구 서곶로446(공촌동 47-3)032-562-6312032-562-63112023-10-13
9495고등학교서인천고등학교1230인천광역시 서구 서곶로 475(검암동 636-7)032-562-0012032-562-00112023-10-13
9596고등학교인천보건고등학교413인천광역시 서구 서달로 58-16 (석남동 295-1)032-570-9111032-570-90002023-10-13
9697고등학교인천세무고등학교500인천광역시 서구 청마로52(당하동 943번지)032-460-1703032-428-45232023-10-13
9798고등학교한국주얼리고등학교247인천광역시 서구 서곶로 693-1(백석동 산40-3)032-627-3893032-627-39192023-10-13