Overview

Dataset statistics

Number of variables7
Number of observations56
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.3 KiB
Average record size in memory60.3 B

Variable types

Numeric2
Text3
Categorical2

Dataset

Description인천광역시 중구_행정기관 및 공공청사 도로명주소, 인천 중부경찰서, 인천 중부소방서, 인천우체국, 인천도서관 등의 주소 제공
Author인천광역시 중구
URLhttps://www.data.go.kr/data/15074875/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 is highly overall correlated with 인터넷주소High correlation
인터넷주소 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기관명 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:05:19.648320
Analysis finished2024-03-15 02:05:22.056441
Duration2.41 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.5
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size632.0 B
2024-03-15T11:05:22.255532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.75
Q114.75
median28.5
Q342.25
95-th percentile53.25
Maximum56
Range55
Interquartile range (IQR)27.5

Descriptive statistics

Standard deviation16.309506
Coefficient of variation (CV)0.57226338
Kurtosis-1.2
Mean28.5
Median Absolute Deviation (MAD)14
Skewness0
Sum1596
Variance266
MonotonicityStrictly increasing
2024-03-15T11:05:22.675938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
30 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (46) 46
82.1%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%
47 1
1.8%

기관명
Text

UNIQUE 

Distinct56
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-15T11:05:23.558332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length12.767857
Min length5

Characters and Unicode

Total characters715
Distinct characters85
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

Unique56 ?
Unique (%)100.0%

Sample

1st row인천개항장 근대건축전시관
2nd row인천광역시 중구 개항동 행정복지센터
3rd row인천광역시 중구 도원동 행정복지센터
4th row인천광역시 중구 동인천동 행정복지센터
5th row인천광역시 중구 신포동 행정복지센터
ValueCountFrequency (%)
인천광역시 18
 
14.9%
중구 12
 
9.9%
행정복지센터 11
 
9.1%
인천중부경찰서 10
 
8.3%
인천영종소방서 6
 
5.0%
인천중부소방서 5
 
4.1%
중구청 3
 
2.5%
중구보건소 2
 
1.7%
작은도서관 2
 
1.7%
동인천동 2
 
1.7%
Other values (48) 50
41.3%
2024-03-15T11:05:24.844029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
65
 
9.1%
인 52
 
7.3%
천 52
 
7.3%
중 37
 
5.2%
서 30
 
4.2%
구 25
 
3.5%
동 21
 
2.9%
시 21
 
2.9%
터 19
 
2.7%
센 19
 
2.7%
Other values (75) 374
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 623
87.1%
Space Separator 65
 
9.1%
Decimal Number 27
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 52
 
8.3%
천 52
 
8.3%
중 37
 
5.9%
서 30
 
4.8%
구 25
 
4.0%
동 21
 
3.4%
시 21
 
3.4%
터 19
 
3.0%
센 19
 
3.0%
광 18
 
2.9%
Other values (71) 329
52.8%
Decimal Number
ValueCountFrequency (%)
1 18
66.7%
9 8
29.6%
2 1
 
3.7%
Space Separator
ValueCountFrequency (%)
65
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 623
87.1%
Common 92
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 52
 
8.3%
천 52
 
8.3%
중 37
 
5.9%
서 30
 
4.8%
구 25
 
4.0%
동 21
 
3.4%
시 21
 
3.4%
터 19
 
3.0%
센 19
 
3.0%
광 18
 
2.9%
Other values (71) 329
52.8%
Common
ValueCountFrequency (%)
65
70.7%
1 18
 
19.6%
9 8
 
8.7%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 623
87.1%
ASCII 92
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
65
70.7%
1 18
 
19.6%
9 8
 
8.7%
2 1
 
1.1%
Hangul
ValueCountFrequency (%)
인 52
 
8.3%
천 52
 
8.3%
중 37
 
5.9%
서 30
 
4.8%
구 25
 
4.0%
동 21
 
3.4%
시 21
 
3.4%
터 19
 
3.0%
센 19
 
3.0%
광 18
 
2.9%
Other values (71) 329
52.8%

전화번호(교환)
Text

Distinct53
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-15T11:05:25.774406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length12.107143
Min length12

Characters and Unicode

Total characters678
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

Unique51 ?
Unique (%)91.1%

Sample

1st row032-760-7549
2nd row032-760-6220
3rd row032-760-6160
4th row032-760-6200
5th row032-760-6100
ValueCountFrequency (%)
032-760-7114 3
 
5.4%
032-884-1119 2
 
3.6%
032-745-6000 1
 
1.8%
032-747-0119 1
 
1.8%
032-760-6216 1
 
1.8%
032-746-0002 1
 
1.8%
032-760-7549 1
 
1.8%
032-710-8190 1
 
1.8%
032-870-5180 1
 
1.8%
032-887-4689 1
 
1.8%
Other values (43) 43
76.8%
2024-03-15T11:05:27.112494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 138
20.4%
- 113
16.7%
2 78
11.5%
3 69
10.2%
7 69
10.2%
6 68
10.0%
1 54
 
8.0%
8 37
 
5.5%
4 24
 
3.5%
9 14
 
2.1%
Other values (2) 14
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 564
83.2%
Dash Punctuation 113
 
16.7%
Math Symbol 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 138
24.5%
2 78
13.8%
3 69
12.2%
7 69
12.2%
6 68
12.1%
1 54
 
9.6%
8 37
 
6.6%
4 24
 
4.3%
9 14
 
2.5%
5 13
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 113
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 678
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 138
20.4%
- 113
16.7%
2 78
11.5%
3 69
10.2%
7 69
10.2%
6 68
10.0%
1 54
 
8.0%
8 37
 
5.5%
4 24
 
3.5%
9 14
 
2.1%
Other values (2) 14
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 678
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 138
20.4%
- 113
16.7%
2 78
11.5%
3 69
10.2%
7 69
10.2%
6 68
10.0%
1 54
 
8.0%
8 37
 
5.5%
4 24
 
3.5%
9 14
 
2.1%
Other values (2) 14
 
2.1%

우편번호
Real number (ℝ)

Distinct27
Distinct (%)48.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22346.571
Minimum22306
Maximum22401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size632.0 B
2024-03-15T11:05:27.515012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22306
5-th percentile22309
Q122315
median22348
Q322372
95-th percentile22388
Maximum22401
Range95
Interquartile range (IQR)57

Descriptive statistics

Standard deviation30.981436
Coefficient of variation (CV)0.0013864067
Kurtosis-1.5998876
Mean22346.571
Median Absolute Deviation (MAD)32
Skewness0.13510031
Sum1251408
Variance959.84935
MonotonicityNot monotonic
2024-03-15T11:05:27.958026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
22372 5
 
8.9%
22371 5
 
8.9%
22384 5
 
8.9%
22315 4
 
7.1%
22314 3
 
5.4%
22349 3
 
5.4%
22313 3
 
5.4%
22309 3
 
5.4%
22401 2
 
3.6%
22382 2
 
3.6%
Other values (17) 21
37.5%
ValueCountFrequency (%)
22306 2
3.6%
22309 3
5.4%
22312 2
3.6%
22313 3
5.4%
22314 3
5.4%
22315 4
7.1%
22317 1
 
1.8%
22319 1
 
1.8%
22320 2
3.6%
22322 1
 
1.8%
ValueCountFrequency (%)
22401 2
 
3.6%
22391 1
 
1.8%
22387 1
 
1.8%
22384 5
8.9%
22382 2
 
3.6%
22378 1
 
1.8%
22377 1
 
1.8%
22372 5
8.9%
22371 5
8.9%
22366 1
 
1.8%

주소
Text

Distinct51
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-03-15T11:05:29.090734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length25
Mean length19.285714
Min length15

Characters and Unicode

Total characters1080
Distinct characters91
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

Unique47 ?
Unique (%)83.9%

Sample

1st row인천광역시 중구 신포로23번길 77
2nd row인천광역시 중구 차이나타운로44번길 13-2
3rd row인천광역시 중구 도원로 42
4th row인천광역시 중구 참외전로72번길 25
5th row인천광역시 중구 제물량로 168
ValueCountFrequency (%)
인천광역시 56
24.2%
중구 56
24.2%
신포로27번길 4
 
1.7%
흰바위로27번길 4
 
1.7%
제물량로 4
 
1.7%
참외전로72번길 3
 
1.3%
80 3
 
1.3%
16 3
 
1.3%
운남서로 3
 
1.3%
서해대로 3
 
1.3%
Other values (81) 92
39.8%
2024-03-15T11:05:30.525950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
175
16.2%
인 61
 
5.6%
시 60
 
5.6%
중 59
 
5.5%
천 59
 
5.5%
광 57
 
5.3%
역 57
 
5.3%
로 56
 
5.2%
구 56
 
5.2%
2 45
 
4.2%
Other values (81) 395
36.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 688
63.7%
Decimal Number 201
 
18.6%
Space Separator 175
 
16.2%
Dash Punctuation 8
 
0.7%
Other Punctuation 3
 
0.3%
Uppercase Letter 3
 
0.3%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 61
 
8.9%
시 60
 
8.7%
중 59
 
8.6%
천 59
 
8.6%
광 57
 
8.3%
역 57
 
8.3%
로 56
 
8.1%
구 56
 
8.1%
길 23
 
3.3%
번 23
 
3.3%
Other values (63) 177
25.7%
Decimal Number
ValueCountFrequency (%)
2 45
22.4%
1 38
18.9%
8 20
10.0%
3 20
10.0%
7 19
9.5%
0 17
 
8.5%
6 16
 
8.0%
4 13
 
6.5%
5 7
 
3.5%
9 6
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
K 1
33.3%
C 1
33.3%
T 1
33.3%
Space Separator
ValueCountFrequency (%)
175
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 688
63.7%
Common 389
36.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 61
 
8.9%
시 60
 
8.7%
중 59
 
8.6%
천 59
 
8.6%
광 57
 
8.3%
역 57
 
8.3%
로 56
 
8.1%
구 56
 
8.1%
길 23
 
3.3%
번 23
 
3.3%
Other values (63) 177
25.7%
Common
ValueCountFrequency (%)
175
45.0%
2 45
 
11.6%
1 38
 
9.8%
8 20
 
5.1%
3 20
 
5.1%
7 19
 
4.9%
0 17
 
4.4%
6 16
 
4.1%
4 13
 
3.3%
- 8
 
2.1%
Other values (5) 18
 
4.6%
Latin
ValueCountFrequency (%)
K 1
33.3%
C 1
33.3%
T 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 688
63.7%
ASCII 392
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
175
44.6%
2 45
 
11.5%
1 38
 
9.7%
8 20
 
5.1%
3 20
 
5.1%
7 19
 
4.8%
0 17
 
4.3%
6 16
 
4.1%
4 13
 
3.3%
- 8
 
2.0%
Other values (8) 21
 
5.4%
Hangul
ValueCountFrequency (%)
인 61
 
8.9%
시 60
 
8.7%
중 59
 
8.6%
천 59
 
8.6%
광 57
 
8.3%
역 57
 
8.3%
로 56
 
8.1%
구 56
 
8.1%
길 23
 
3.3%
번 23
 
3.3%
Other values (63) 177
25.7%

인터넷주소
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)33.9%
Missing0
Missing (%)0.0%
Memory size576.0 B
<NA>
12 
https://www.icjg.go.kr/dong/index
11 
https://www.incheon.go.kr/119/index
9 
https://www.icpolice.go.kr/board/rg4_board/pcontent.php?&bbs_code=jb001&bd_num=159&mcode=05:07
7 
https://www.icjg.go.kr/health/index
2 
Other values (14)
15 

Length

Max length94
Median length48
Mean length35.392857
Min length4

Unique

Unique13 ?
Unique (%)23.2%

Sample

1st rowhttps://ijcf.or.kr/load.asp?subPage=522.03
2nd rowhttps://www.icjg.go.kr/dong/index
3rd rowhttps://www.icjg.go.kr/dong/index
4th rowhttps://www.icjg.go.kr/dong/index
5th rowhttps://www.icjg.go.kr/dong/index

Common Values

ValueCountFrequency (%)
<NA> 12
21.4%
https://www.icjg.go.kr/dong/index 11
19.6%
https://www.incheon.go.kr/119/index 9
16.1%
https://www.icpolice.go.kr/board/rg4_board/pcontent.php?&bbs_code=jb001&bd_num=159&mcode=05:07 7
12.5%
https://www.icjg.go.kr/health/index 2
 
3.6%
https://www.icjg.go.kr/index 2
 
3.6%
https://ijcf.or.kr/load.asp?subPage=522.03 1
 
1.8%
http://icjg-sports.or.kr/ 1
 
1.8%
https://www.icjg.go.kr/ 1
 
1.8%
https://www.icjgss.or.kr/ 1
 
1.8%
Other values (9) 9
16.1%

Length

2024-03-15T11:05:30.979515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 12
21.4%
https://www.icjg.go.kr/dong/index 11
19.6%
https://www.incheon.go.kr/119/index 9
16.1%
https://www.icpolice.go.kr/board/rg4_board/pcontent.php?&bbs_code=jb001&bd_num=159&mcode=05:07 7
12.5%
https://www.icjg.go.kr/health/index 2
 
3.6%
https://www.icjg.go.kr/index 2
 
3.6%
http://www.ylib.or.kr 1
 
1.8%
http://www.imla.kr/kb/index.do 1
 
1.8%
https://www.smalllibrary.org/library/detail/1048174 1
 
1.8%
https://www.smalllibrary.org/library/detail/1048169 1
 
1.8%
Other values (9) 9
16.1%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size576.0 B
2024-02-07
56 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-02-07
2nd row2024-02-07
3rd row2024-02-07
4th row2024-02-07
5th row2024-02-07

Common Values

ValueCountFrequency (%)
2024-02-07 56
100.0%

Length

2024-03-15T11:05:31.372775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:05:31.671132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-02-07 56
100.0%

Interactions

2024-03-15T11:05:21.027474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:05:20.557811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:05:21.270090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T11:05:20.795059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T11:05:31.851148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기관명전화번호(교환)우편번호주소인터넷주소
연번1.0001.0000.8990.4450.9600.888
기관명1.0001.0001.0001.0001.0001.000
전화번호(교환)0.8991.0001.0000.9840.9940.942
우편번호0.4451.0000.9841.0000.9880.000
주소0.9601.0000.9940.9881.0000.880
인터넷주소0.8881.0000.9420.0000.8801.000
2024-03-15T11:05:32.126655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번우편번호인터넷주소
연번1.0000.2340.531
우편번호0.2341.0000.000
인터넷주소0.5310.0001.000

Missing values

2024-03-15T11:05:21.587210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:05:21.907086image/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

연번기관명전화번호(교환)우편번호주소인터넷주소데이터기준일자
01인천개항장 근대건축전시관032-760-754922314인천광역시 중구 신포로23번길 77https://ijcf.or.kr/load.asp?subPage=522.032024-02-07
12인천광역시 중구 개항동 행정복지센터032-760-622022312인천광역시 중구 차이나타운로44번길 13-2https://www.icjg.go.kr/dong/index2024-02-07
23인천광역시 중구 도원동 행정복지센터032-760-616022327인천광역시 중구 도원로 42https://www.icjg.go.kr/dong/index2024-02-07
34인천광역시 중구 동인천동 행정복지센터032-760-620022309인천광역시 중구 참외전로72번길 25https://www.icjg.go.kr/dong/index2024-02-07
45인천광역시 중구 신포동 행정복지센터032-760-610022322인천광역시 중구 제물량로 168https://www.icjg.go.kr/dong/index2024-02-07
56인천광역시 중구 신흥동 행정복지센터032-760-614022320인천광역시 중구 제물량로80번길 3-14https://www.icjg.go.kr/dong/index2024-02-07
67인천광역시 중구 연안동 행정복지센터032-760-612022348인천광역시 중구 축항대로86번길 44https://www.icjg.go.kr/dong/index2024-02-07
78인천광역시 중구 영종1동 행정복지센터032-760-636022401인천광역시 중구 하늘달빛로 120https://www.icjg.go.kr/dong/index2024-02-07
89인천광역시 중구 영종동 행정복지센터032-760-888022372인천광역시 중구 운남서로 100https://www.icjg.go.kr/dong/index2024-02-07
910인천광역시 중구 용유동 행정복지센터032-760-628022384인천광역시 중구 마시란로 308-13https://www.icjg.go.kr/dong/index2024-02-07
연번기관명전화번호(교환)우편번호주소인터넷주소데이터기준일자
4647인천중동우체국032-773-210622332인천광역시 중구 서해대로 366<NA>2024-02-07
4748인천항동우체국032-882-449422348인천광역시 중구 연안부두로 67<NA>2024-02-07
4849인천해상교환우체국032-716-6680~122336인천광역시 중구 축항대로165번길 15 ( KCT인천광역시물류센터)<NA>2024-02-07
4950꿈벗도서관032-764-611122315인천광역시 중구 홍예문로 32http://www.imla.kr/kb/index.do2024-02-07
5051영종하늘도서관032-746-914322391인천광역시 중구 하늘중앙로 132https://www.michuhollib.go.kr/mchlib/usr/main.do2024-02-07
5152율목도서관032-770-380022320인천광역시 중구 답동로24번길 17https://www.imla.kr/ym/index.do2024-02-07
5253영종도서관032-745-600022366인천광역시 중구 영종대로 85http://www.ylib.or.kr/2024-02-07
5354용유동 작은도서관032-751-799022384인천광역시 중구 남북로 16https://www.smalllibrary.org/library/detail/10481692024-02-07
5455동인천동 작은도서관032-760-621622309인천광역시 중구 참외전로72번길 25, 3층https://www.smalllibrary.org/library/detail/10481742024-02-07
5556인천광역시 중구의회032-760-762022315인천광역시 중구 신포로27번길 80https://www.icjg.go.kr/council/index2024-02-07