Overview

Dataset statistics

Number of variables12
Number of observations3104
Missing cells2656
Missing cells (%)7.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory291.1 KiB
Average record size in memory96.0 B

Variable types

Text3
DateTime7
Categorical2

Dataset

Description인천광역시 계양구 기초의회 의안정보에 대한 데이터로, 의안번호, 제목(건명), 발의자(제출자), 발의일(제출일), 본회의보고일, 위원회 회부일, 위원회 처리일, 위원회 결과, 본회의 접수일, 본회의 보고일, 본회의 상정일, 본회의 처리일, 본회의 결과 등을 제공합니다.
Author인천광역시 계양구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15037896&srcSe=7661IVAWM27C61E190

Alerts

위원회결과 is highly overall correlated with 본회의결과High correlation
본회의결과 is highly overall correlated with 위원회결과High correlation
위원회결과 is highly imbalanced (62.7%)Imbalance
본회의결과 is highly imbalanced (68.1%)Imbalance
위원회회부일 has 1043 (33.6%) missing valuesMissing
위원회처리일 has 1054 (34.0%) missing valuesMissing
본회의접수일 has 134 (4.3%) missing valuesMissing
본회의보고일 has 133 (4.3%) missing valuesMissing
본회의상정일 has 135 (4.3%) missing valuesMissing
본회의처리일 has 135 (4.3%) missing valuesMissing

Reproduction

Analysis started2024-03-18 02:59:53.254002
Analysis finished2024-03-18 02:59:55.387389
Duration2.13 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct3103
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2024-03-18T11:59:55.626630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6491624
Min length1

Characters and Unicode

Total characters11327
Distinct characters21
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3102 ?
Unique (%)99.9%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
2973 2
 
0.1%
2131 1
 
< 0.1%
2070 1
 
< 0.1%
2071 1
 
< 0.1%
2062 1
 
< 0.1%
2063 1
 
< 0.1%
2064 1
 
< 0.1%
2065 1
 
< 0.1%
2066 1
 
< 0.1%
2067 1
 
< 0.1%
Other values (3093) 3093
99.6%
2024-03-18T11:59:56.031811image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1930
17.0%
2 1920
17.0%
3 1019
9.0%
7 921
8.1%
5 921
8.1%
4 920
8.1%
8 920
8.1%
9 919
8.1%
6 919
8.1%
0 908
8.0%
Other values (11) 30
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11297
99.7%
Lowercase Letter 14
 
0.1%
Dash Punctuation 9
 
0.1%
Uppercase Letter 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1930
17.1%
2 1920
17.0%
3 1019
9.0%
7 921
8.2%
5 921
8.2%
4 920
8.1%
8 920
8.1%
9 919
8.1%
6 919
8.1%
0 908
8.0%
Lowercase Letter
ValueCountFrequency (%)
r 4
28.6%
a 3
21.4%
e 2
14.3%
b 2
14.3%
p 2
14.3%
n 1
 
7.1%
Uppercase Letter
ValueCountFrequency (%)
F 2
28.6%
M 2
28.6%
A 2
28.6%
J 1
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11306
99.8%
Latin 21
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1930
17.1%
2 1920
17.0%
3 1019
9.0%
7 921
8.1%
5 921
8.1%
4 920
8.1%
8 920
8.1%
9 919
8.1%
6 919
8.1%
0 908
8.0%
Latin
ValueCountFrequency (%)
r 4
19.0%
a 3
14.3%
F 2
9.5%
e 2
9.5%
b 2
9.5%
M 2
9.5%
A 2
9.5%
p 2
9.5%
J 1
 
4.8%
n 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11327
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1930
17.0%
2 1920
17.0%
3 1019
9.0%
7 921
8.1%
5 921
8.1%
4 920
8.1%
8 920
8.1%
9 919
8.1%
6 919
8.1%
0 908
8.0%
Other values (11) 30
 
0.3%

제목(건명)
Text

Distinct2138
Distinct (%)68.9%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2024-03-18T11:59:56.271311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length170
Median length57
Mean length30.220683
Min length1

Characters and Unicode

Total characters93805
Distinct characters438
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1851 ?
Unique (%)59.6%

Sample

1st row의장/부의장 선거
2nd row제1회 인천광역시 계양구의회(임시회) 회기결정의 건 (1995.03.01 / 1일간)
3rd row인천광역시 계양구 의회사무과의 설치 및 사무직원의 정수 등에 관한 조례(안)등 78종
4th row인천광역시 계양구 '95년도 일반 및 각 특별회계 세입세출예산(안)
5th row상임위원장 선거
ValueCountFrequency (%)
인천광역시 1971
 
10.1%
계양구 1535
 
7.9%
건 809
 
4.2%
조례 758
 
3.9%
일부개정조례안 647
 
3.3%
613
 
3.2%
및 599
 
3.1%
관한 503
 
2.6%
계양구의회 436
 
2.2%
조례안 360
 
1.9%
Other values (2756) 11217
57.7%
2024-03-18T11:59:56.778986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
16403
 
17.5%
조 2837
 
3.0%
례 2802
 
3.0%
구 2745
 
2.9%
의 2594
 
2.8%
계 2593
 
2.8%
시 2555
 
2.7%
회 2430
 
2.6%
인 2244
 
2.4%
안 2206
 
2.4%
Other values (428) 54396
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67407
71.9%
Space Separator 16403
 
17.5%
Decimal Number 7177
 
7.7%
Other Punctuation 1555
 
1.7%
Close Punctuation 463
 
0.5%
Open Punctuation 463
 
0.5%
Math Symbol 331
 
0.4%
Dash Punctuation 3
 
< 0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2837
 
4.2%
례 2802
 
4.2%
구 2745
 
4.1%
의 2594
 
3.8%
계 2593
 
3.8%
시 2555
 
3.8%
회 2430
 
3.6%
인 2244
 
3.3%
안 2206
 
3.3%
양 2206
 
3.3%
Other values (397) 42195
62.6%
Decimal Number
ValueCountFrequency (%)
0 1795
25.0%
2 1565
21.8%
1 1532
21.3%
9 508
 
7.1%
3 370
 
5.2%
6 308
 
4.3%
7 294
 
4.1%
4 277
 
3.9%
5 271
 
3.8%
8 257
 
3.6%
Other Punctuation
ValueCountFrequency (%)
. 1000
64.3%
/ 476
30.6%
, 66
 
4.2%
· 9
 
0.6%
" 2
 
0.1%
' 1
 
0.1%
: 1
 
0.1%
Close Punctuation
ValueCountFrequency (%)
) 396
85.5%
】 66
 
14.3%
」 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 396
85.5%
【 66
 
14.3%
「 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
~ 313
94.6%
> 9
 
2.7%
< 9
 
2.7%
Uppercase Letter
ValueCountFrequency (%)
X 1
33.3%
T 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
16403
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67407
71.9%
Common 26395
 
28.1%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2837
 
4.2%
례 2802
 
4.2%
구 2745
 
4.1%
의 2594
 
3.8%
계 2593
 
3.8%
시 2555
 
3.8%
회 2430
 
3.6%
인 2244
 
3.3%
안 2206
 
3.3%
양 2206
 
3.3%
Other values (397) 42195
62.6%
Common
ValueCountFrequency (%)
16403
62.1%
0 1795
 
6.8%
2 1565
 
5.9%
1 1532
 
5.8%
. 1000
 
3.8%
9 508
 
1.9%
/ 476
 
1.8%
) 396
 
1.5%
( 396
 
1.5%
3 370
 
1.4%
Other values (18) 1954
 
7.4%
Latin
ValueCountFrequency (%)
X 1
33.3%
T 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67397
71.8%
ASCII 26255
 
28.0%
None 143
 
0.2%
Compat Jamo 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
16403
62.5%
0 1795
 
6.8%
2 1565
 
6.0%
1 1532
 
5.8%
. 1000
 
3.8%
9 508
 
1.9%
/ 476
 
1.8%
) 396
 
1.5%
( 396
 
1.5%
3 370
 
1.4%
Other values (16) 1814
 
6.9%
Hangul
ValueCountFrequency (%)
조 2837
 
4.2%
례 2802
 
4.2%
구 2745
 
4.1%
의 2594
 
3.8%
계 2593
 
3.8%
시 2555
 
3.8%
회 2430
 
3.6%
인 2244
 
3.3%
안 2206
 
3.3%
양 2206
 
3.3%
Other values (396) 42185
62.6%
None
ValueCountFrequency (%)
】 66
46.2%
【 66
46.2%
· 9
 
6.3%
」 1
 
0.7%
「 1
 
0.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

발의자(제출자)
Text

Distinct334
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
2024-03-18T11:59:57.048841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length5.5341495
Min length1

Characters and Unicode

Total characters17178
Distinct characters150
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

Unique185 ?
Unique (%)6.0%

Sample

1st row지방자치법 제42조 근거
2nd row의장
3rd row계양구청장
4th row계양구청장
5th row의장
ValueCountFrequency (%)
계양구청장 1704
41.7%
의장 660
 
16.2%
4인 159
 
3.9%
외 147
 
3.6%
3인 115
 
2.8%
5인 81
 
2.0%
2인 65
 
1.6%
의원 59
 
1.4%
김석현의원외 37
 
0.9%
외4인 32
 
0.8%
Other values (167) 1024
25.1%
2024-03-18T11:59:57.432642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2407
14.0%
양 1733
10.1%
구 1710
10.0%
계 1708
9.9%
청 1704
9.9%
의 1349
 
7.9%
985
 
5.7%
원 795
 
4.6%
외 645
 
3.8%
인 633
 
3.7%
Other values (140) 3509
20.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15445
89.9%
Space Separator 985
 
5.7%
Decimal Number 729
 
4.2%
Close Punctuation 8
 
< 0.1%
Open Punctuation 8
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2407
15.6%
양 1733
11.2%
구 1710
11.1%
계 1708
11.1%
청 1704
11.0%
의 1349
8.7%
원 795
 
5.1%
외 645
 
4.2%
인 633
 
4.1%
이 169
 
1.1%
Other values (126) 2592
16.8%
Decimal Number
ValueCountFrequency (%)
4 208
28.5%
3 128
17.6%
5 116
15.9%
2 77
 
10.6%
1 64
 
8.8%
0 43
 
5.9%
6 37
 
5.1%
7 24
 
3.3%
9 18
 
2.5%
8 14
 
1.9%
Space Separator
ValueCountFrequency (%)
985
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15445
89.9%
Common 1733
 
10.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2407
15.6%
양 1733
11.2%
구 1710
11.1%
계 1708
11.1%
청 1704
11.0%
의 1349
8.7%
원 795
 
5.1%
외 645
 
4.2%
인 633
 
4.1%
이 169
 
1.1%
Other values (126) 2592
16.8%
Common
ValueCountFrequency (%)
985
56.8%
4 208
 
12.0%
3 128
 
7.4%
5 116
 
6.7%
2 77
 
4.4%
1 64
 
3.7%
0 43
 
2.5%
6 37
 
2.1%
7 24
 
1.4%
9 18
 
1.0%
Other values (4) 33
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15445
89.9%
ASCII 1733
 
10.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2407
15.6%
양 1733
11.2%
구 1710
11.1%
계 1708
11.1%
청 1704
11.0%
의 1349
8.7%
원 795
 
5.1%
외 645
 
4.2%
인 633
 
4.1%
이 169
 
1.1%
Other values (126) 2592
16.8%
ASCII
ValueCountFrequency (%)
985
56.8%
4 208
 
12.0%
3 128
 
7.4%
5 116
 
6.7%
2 77
 
4.4%
1 64
 
3.7%
0 43
 
2.5%
6 37
 
2.1%
7 24
 
1.4%
9 18
 
1.0%
Other values (4) 33
 
1.9%

발의일(제출일)
Date

Distinct989
Distinct (%)32.1%
Missing22
Missing (%)0.7%
Memory size24.4 KiB
Minimum1995-03-01 00:00:00
Maximum2023-04-17 00:00:00
2024-03-18T11:59:57.557729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:57.664471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회회부일
Date

MISSING 

Distinct394
Distinct (%)19.1%
Missing1043
Missing (%)33.6%
Memory size24.4 KiB
Minimum1995-04-06 00:00:00
Maximum2023-04-17 00:00:00
2024-03-18T11:59:57.787231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:57.906818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리일
Date

MISSING 

Distinct478
Distinct (%)23.3%
Missing1054
Missing (%)34.0%
Memory size24.4 KiB
Minimum1995-04-17 00:00:00
Maximum2023-04-20 00:00:00
2024-03-18T11:59:58.014792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:58.129221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct42
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
원안가결
1403 
<NA>
1067 
수정안가결
391 
부결
 
56
보고
 
37
Other values (37)
150 

Length

Max length17
Median length4
Mean length4.0972938
Min length2

Unique

Unique22 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
원안가결 1403
45.2%
<NA> 1067
34.4%
수정안가결 391
 
12.6%
부결 56
 
1.8%
보고 37
 
1.2%
수정가결 30
 
1.0%
원안동의 23
 
0.7%
가결 19
 
0.6%
보류 11
 
0.4%
원안동의(원안가결) 10
 
0.3%
Other values (32) 57
 
1.8%

Length

2024-03-18T11:59:58.255431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1404
45.0%
na 1067
34.2%
수정안가결 391
 
12.5%
부결 56
 
1.8%
보고 37
 
1.2%
수정가결 30
 
1.0%
원안동의 23
 
0.7%
가결 19
 
0.6%
보류 11
 
0.4%
원안동의(원안가결 10
 
0.3%
Other values (39) 70
 
2.2%

본회의접수일
Date

MISSING 

Distinct619
Distinct (%)20.8%
Missing134
Missing (%)4.3%
Memory size24.4 KiB
Minimum1995-03-02 00:00:00
Maximum2023-04-21 00:00:00
2024-03-18T11:59:58.376319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:58.498997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의보고일
Date

MISSING 

Distinct530
Distinct (%)17.8%
Missing133
Missing (%)4.3%
Memory size24.4 KiB
Minimum1995-03-02 00:00:00
Maximum2023-04-21 00:00:00
2024-03-18T11:59:58.628027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:58.774644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의상정일
Date

MISSING 

Distinct521
Distinct (%)17.5%
Missing135
Missing (%)4.3%
Memory size24.4 KiB
Minimum1995-03-02 00:00:00
Maximum2023-04-21 00:00:00
2024-03-18T11:59:59.138112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:59.247250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리일
Date

MISSING 

Distinct521
Distinct (%)17.5%
Missing135
Missing (%)4.3%
Memory size24.4 KiB
Minimum1995-03-02 00:00:00
Maximum2023-04-21 00:00:00
2024-03-18T11:59:59.355463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:59.483940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct49
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size24.4 KiB
원안가결
2153 
수정안가결
402 
기타
 
157
<NA>
 
141
보고
 
49
Other values (44)
 
202

Length

Max length29
Median length4
Mean length4.0286727
Min length1

Unique

Unique25 ?
Unique (%)0.8%

Sample

1st row기타
2nd row원안가결
3rd row원안가결
4th row원안가결
5th row기타

Common Values

ValueCountFrequency (%)
원안가결 2153
69.4%
수정안가결 402
 
13.0%
기타 157
 
5.1%
<NA> 141
 
4.5%
보고 49
 
1.6%
수정가결 36
 
1.2%
원안동의 34
 
1.1%
가결 25
 
0.8%
부결 23
 
0.7%
구정연설 9
 
0.3%
Other values (39) 75
 
2.4%

Length

2024-03-18T11:59:59.601975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 2156
68.6%
수정안가결 407
 
13.0%
기타 157
 
5.0%
na 141
 
4.5%
보고 49
 
1.6%
수정가결 36
 
1.1%
원안동의 34
 
1.1%
가결 26
 
0.8%
부결 23
 
0.7%
채택 12
 
0.4%
Other values (43) 101
 
3.2%

Correlations

2024-03-18T11:59:59.671151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회결과본회의결과
위원회결과1.0000.995
본회의결과0.9951.000
2024-03-18T11:59:59.737309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회결과본회의결과
위원회결과1.0000.889
본회의결과0.8891.000
2024-03-18T11:59:59.800748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회결과본회의결과
위원회결과1.0000.889
본회의결과0.8891.000

Missing values

2024-03-18T11:59:54.988546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:59:55.171555image/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.
2024-03-18T11:59:55.299042image/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

의안번호제목(건명)발의자(제출자)발의일(제출일)위원회회부일위원회처리일위원회결과본회의접수일본회의보고일본회의상정일본회의처리일본회의결과
01의장/부의장 선거지방자치법 제42조 근거1995-03-02<NA><NA><NA>1995-03-021995-03-021995-03-021995-03-02기타
12제1회 인천광역시 계양구의회(임시회) 회기결정의 건 (1995.03.01 / 1일간)의장1995-03-02<NA><NA><NA>1995-03-021995-03-021995-03-021995-03-02원안가결
23인천광역시 계양구 의회사무과의 설치 및 사무직원의 정수 등에 관한 조례(안)등 78종계양구청장1995-03-01<NA><NA><NA>1995-03-021995-03-021995-03-021995-03-02원안가결
34인천광역시 계양구 '95년도 일반 및 각 특별회계 세입세출예산(안)계양구청장1995-03-01<NA><NA><NA>1995-03-021995-03-021995-03-021995-03-02원안가결
45상임위원장 선거의장1995-03-02<NA><NA><NA>1995-03-021995-03-021995-03-021995-03-02기타
56인천광역시 계양구의회 회의규칙안심수월의원외 2인1995-04-061995-04-061995-04-17원안가결1995-04-171995-04-221995-04-221995-04-22원안가결
67인천광역시 계양구의회 청원심사규칙안심수월의원외 2인1995-04-061995-04-061995-04-17원안가결1995-04-171995-04-221995-04-221995-04-22원안가결
78진정서등 처리에 관한 규정안심수월의원외 2인1995-04-061995-04-061995-04-17원안가결1995-04-171995-04-221995-04-221995-04-22원안가결
89인천광역시 계양구의회 의원신분증 규정안심수월의원외 2인1995-04-061995-04-061995-04-17원안가결1995-04-171995-04-221995-04-221995-04-22원안가결
910인천광역시 계양구의회 의원배지에 관한 규정안심수월의원외 2인1995-04-061995-04-061995-04-17원안가결1995-04-171995-04-221995-04-221995-04-22원안가결
의안번호제목(건명)발의자(제출자)발의일(제출일)위원회회부일위원회처리일위원회결과본회의접수일본회의보고일본회의상정일본회의처리일본회의결과
30943087인천광역시 계양구 공공심야약국 운영 조례안김경식 의원 외 4인2023-04-052023-04-062023-04-18원안가결2023-04-212023-04-212023-04-212023-04-21원안가결
30953088인천광역시 계양구 주민자율방역단 지원 조례안여재만 의원 외 4인2023-04-052023-04-062023-04-18원안가결2023-04-212023-04-212023-04-212023-04-21원안가결
30963089인천광역시 계양구 2023년도 제1회 추가경정예산안계양구청장2023-04-052023-04-062023-04-20원안가결2023-04-212023-04-212023-04-212023-04-21원안가결
30973090제242회 인천광역시 계양구의회 임시회 회기결정의 건【2023.04.17 ~ 04.21 / 5일간】의장2023-04-05<NA><NA><NA>2023-04-172023-04-172023-04-172023-04-17원안가결
30983091제242회 인천광역시 계양구의회 임시회 회의록 서명의원 선임의 건의장2023-04-05<NA><NA><NA>2023-04-172023-04-172023-04-172023-04-17김경식문미혜
30993092휴회 결의의 건【2023.04.18 ~ 04.20 / 3일간】의장2023-04-05<NA><NA><NA>2023-04-172023-04-172023-04-172023-04-17원안가결
310030932023년도 행정사무감사 계획서 승인의 건각 상임위원장2023-04-052023-04-052023-04-18원안가결2023-04-212023-04-212023-04-212023-04-21원안가결
31013094예산결산특별위원회 구성 결의안김경식 의원 외 3인2023-04-05<NA><NA><NA>2023-04-172023-04-172023-04-172023-04-17김경식, 황순남,정춘지, 신지수
31023095재외동포청 인천 유치 지지 결의안이상호 의원 외 9인2023-04-12<NA><NA><NA>2023-04-172023-04-172023-04-172023-04-17채택
3103Jan-89인천광역시 계양구 2023년도 제1회 추가경정 수정 예산안계양구청장2023-04-172023-04-172023-04-20원안가결2023-04-212023-04-212023-04-212023-04-21원안가결