Overview

Dataset statistics

Number of variables12
Number of observations4237
Missing cells1243
Missing cells (%)2.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory405.6 KiB
Average record size in memory98.0 B

Variable types

Categorical3
Numeric2
Text2
DateTime5

Dataset

Description경기도 양주시 지방의회 의안 정보에 관한 데이터로 의안번호, 의안명, 발의자,본회의보고일, 본회의상정일, 본회의의결일 등의 내용을 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15061993/fileData.do

Alerts

기관명 has constant value ""Constant
대수 is highly overall correlated with 의안번호High correlation
의안번호 is highly overall correlated with 대수High correlation
처리결과 is highly imbalanced (76.3%)Imbalance
본회의보고일 has 458 (10.8%) missing valuesMissing
본회의상정일 has 391 (9.2%) missing valuesMissing
본회의의결일 has 394 (9.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 13:38:21.058709
Analysis finished2023-12-12 13:38:22.931763
Duration1.87 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
양주시의회
4237 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
양주시의회 4237
100.0%

Length

2023-12-12T22:38:22.994598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:38:23.100978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
양주시의회 4237
100.0%

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9221147
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2023-12-12T22:38:23.192684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum9
Range8
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.4106457
Coefficient of variation (CV)0.48975814
Kurtosis-1.1501103
Mean4.9221147
Median Absolute Deviation (MAD)2
Skewness-0.090540699
Sum20855
Variance5.8112129
MonotonicityDecreasing
2023-12-12T22:38:23.338751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 665
15.7%
4 616
14.5%
7 527
12.4%
5 521
12.3%
1 483
11.4%
6 448
10.6%
3 448
10.6%
2 357
8.4%
9 172
 
4.1%
ValueCountFrequency (%)
1 483
11.4%
2 357
8.4%
3 448
10.6%
4 616
14.5%
5 521
12.3%
6 448
10.6%
7 527
12.4%
8 665
15.7%
9 172
 
4.1%
ValueCountFrequency (%)
9 172
 
4.1%
8 665
15.7%
7 527
12.4%
6 448
10.6%
5 521
12.3%
4 616
14.5%
3 448
10.6%
2 357
8.4%
1 483
11.4%

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct2956
Distinct (%)69.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29987.131
Minimum1
Maximum71416
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size37.4 KiB
2023-12-12T22:38:23.499063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile28
Q1200
median851
Q370342
95-th percentile71199.2
Maximum71416
Range71415
Interquartile range (IQR)70142

Descriptive statistics

Standard deviation33774.22
Coefficient of variation (CV)1.1262905
Kurtosis-1.8980754
Mean29987.131
Median Absolute Deviation (MAD)815
Skewness0.27663823
Sum1.2705547 × 108
Variance1.140698 × 109
MonotonicityNot monotonic
2023-12-12T22:38:23.659472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 10
 
0.2%
2 10
 
0.2%
4 9
 
0.2%
3 9
 
0.2%
5 9
 
0.2%
6 9
 
0.2%
7 9
 
0.2%
8 9
 
0.2%
10 8
 
0.2%
9 8
 
0.2%
Other values (2946) 4147
97.9%
ValueCountFrequency (%)
1 10
0.2%
2 10
0.2%
3 9
0.2%
4 9
0.2%
5 9
0.2%
6 9
0.2%
7 9
0.2%
8 9
0.2%
9 8
0.2%
10 8
0.2%
ValueCountFrequency (%)
71416 1
< 0.1%
71415 1
< 0.1%
71414 1
< 0.1%
71413 1
< 0.1%
71412 1
< 0.1%
71411 1
< 0.1%
71410 1
< 0.1%
71409 1
< 0.1%
71408 1
< 0.1%
71407 1
< 0.1%
Distinct3458
Distinct (%)81.6%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
2023-12-12T22:38:23.977751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length52
Mean length21.90465
Min length2

Characters and Unicode

Total characters92810
Distinct characters484
Distinct categories12 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3156 ?
Unique (%)74.5%

Sample

1st row노동.연금.교육 3대 분야의 조속하고 확실한 개혁을 위한 촉구 결의안
2nd row제357회 양주시의회(임시회) 회의록 서명의원 선출의 건
3rd row제357회 양주시의회(임시회) 회기 결정의 건
4th row미국 헨라이코 카운티와의 자매결연 취소에 관한 동의안
5th row중국 둥잉시 자매결연 체결에 관한 동의안
ValueCountFrequency (%)
양주시 963
 
6.7%
690
 
4.8%
조례 547
 
3.8%
일부개정조례안 435
 
3.0%
432
 
3.0%
조례안 381
 
2.7%
관한 347
 
2.4%
양주시의회 193
 
1.4%
운영 146
 
1.0%
결정의 132
 
0.9%
Other values (3788) 10020
70.1%
2023-12-12T22:38:24.477376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10049
 
10.8%
3286
 
3.5%
3269
 
3.5%
3194
 
3.4%
3091
 
3.3%
3036
 
3.3%
2974
 
3.2%
2886
 
3.1%
2655
 
2.9%
2465
 
2.7%
Other values (474) 55905
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 76070
82.0%
Space Separator 10049
 
10.8%
Decimal Number 5487
 
5.9%
Close Punctuation 441
 
0.5%
Open Punctuation 441
 
0.5%
Other Punctuation 247
 
0.3%
Dash Punctuation 44
 
< 0.1%
Uppercase Letter 13
 
< 0.1%
Math Symbol 12
 
< 0.1%
Lowercase Letter 3
 
< 0.1%
Other values (2) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3286
 
4.3%
3269
 
4.3%
3194
 
4.2%
3091
 
4.1%
3036
 
4.0%
2974
 
3.9%
2886
 
3.8%
2655
 
3.5%
2465
 
3.2%
1642
 
2.2%
Other values (437) 47572
62.5%
Decimal Number
ValueCountFrequency (%)
2 1286
23.4%
0 1214
22.1%
1 985
18.0%
9 618
11.3%
3 424
 
7.7%
4 226
 
4.1%
5 203
 
3.7%
6 186
 
3.4%
7 174
 
3.2%
8 171
 
3.1%
Uppercase Letter
ValueCountFrequency (%)
R 3
23.1%
V 2
15.4%
I 2
15.4%
G 1
 
7.7%
L 1
 
7.7%
C 1
 
7.7%
F 1
 
7.7%
S 1
 
7.7%
A 1
 
7.7%
Other Punctuation
ValueCountFrequency (%)
· 82
33.2%
. 81
32.8%
, 64
25.9%
: 20
 
8.1%
Close Punctuation
ValueCountFrequency (%)
) 438
99.3%
2
 
0.5%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 438
99.3%
2
 
0.5%
[ 1
 
0.2%
Lowercase Letter
ValueCountFrequency (%)
l 1
33.3%
n 1
33.3%
d 1
33.3%
Space Separator
ValueCountFrequency (%)
10049
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 76068
82.0%
Common 16724
 
18.0%
Latin 16
 
< 0.1%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3286
 
4.3%
3269
 
4.3%
3194
 
4.2%
3091
 
4.1%
3036
 
4.0%
2974
 
3.9%
2886
 
3.8%
2655
 
3.5%
2465
 
3.2%
1642
 
2.2%
Other values (436) 47570
62.5%
Common
ValueCountFrequency (%)
10049
60.1%
2 1286
 
7.7%
0 1214
 
7.3%
1 985
 
5.9%
9 618
 
3.7%
) 438
 
2.6%
( 438
 
2.6%
3 424
 
2.5%
4 226
 
1.4%
5 203
 
1.2%
Other values (15) 843
 
5.0%
Latin
ValueCountFrequency (%)
R 3
18.8%
V 2
12.5%
I 2
12.5%
G 1
 
6.2%
L 1
 
6.2%
l 1
 
6.2%
n 1
 
6.2%
d 1
 
6.2%
C 1
 
6.2%
F 1
 
6.2%
Other values (2) 2
12.5%
Han
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 76061
82.0%
ASCII 16654
 
17.9%
None 86
 
0.1%
Compat Jamo 7
 
< 0.1%
CJK 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10049
60.3%
2 1286
 
7.7%
0 1214
 
7.3%
1 985
 
5.9%
9 618
 
3.7%
) 438
 
2.6%
( 438
 
2.6%
3 424
 
2.5%
4 226
 
1.4%
5 203
 
1.2%
Other values (24) 773
 
4.6%
Hangul
ValueCountFrequency (%)
3286
 
4.3%
3269
 
4.3%
3194
 
4.2%
3091
 
4.1%
3036
 
4.0%
2974
 
3.9%
2886
 
3.8%
2655
 
3.5%
2465
 
3.2%
1642
 
2.2%
Other values (435) 47563
62.5%
None
ValueCountFrequency (%)
· 82
95.3%
2
 
2.3%
2
 
2.3%
Compat Jamo
ValueCountFrequency (%)
7
100.0%
CJK
ValueCountFrequency (%)
2
100.0%

의안종류
Categorical

Distinct15
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
조례안-시장
1568 
기타안건
1079 
예산안
402 
동의안/승인안
264 
조례안-의원
227 
Other values (10)
697 

Length

Max length7
Median length6
Mean length4.8244041
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row결의안
2nd row기타안건
3rd row기타안건
4th row동의안/승인안
5th row동의안/승인안

Common Values

ValueCountFrequency (%)
조례안-시장 1568
37.0%
기타안건 1079
25.5%
예산안 402
 
9.5%
동의안/승인안 264
 
6.2%
조례안-의원 227
 
5.4%
의견청취 157
 
3.7%
공유재산 155
 
3.7%
결산 106
 
2.5%
조례안 89
 
2.1%
건의안 77
 
1.8%
Other values (5) 113
 
2.7%

Length

2023-12-12T22:38:24.650268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안-시장 1568
37.0%
기타안건 1079
25.5%
예산안 402
 
9.5%
동의안/승인안 264
 
6.2%
조례안-의원 227
 
5.4%
의견청취 157
 
3.7%
공유재산 155
 
3.7%
결산 106
 
2.5%
조례안 89
 
2.1%
건의안 77
 
1.8%
Other values (5) 113
 
2.7%
Distinct1557
Distinct (%)36.7%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
Minimum1905-06-13 00:00:00
Maximum2023-07-10 00:00:00
2023-12-12T22:38:24.795906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:24.966383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct319
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
2023-12-12T22:38:25.326977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length2
Mean length3.4821808
Min length2

Characters and Unicode

Total characters14754
Distinct characters117
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

Unique184 ?
Unique (%)4.3%

Sample

1st row강혜숙 의원
2nd row의장
3rd row의장
4th row시장
5th row시장
ValueCountFrequency (%)
시장 1054
22.6%
군수 807
17.3%
양주시장 685
14.7%
의장 680
14.6%
의원 251
 
5.4%
양주군수 138
 
3.0%
위원장 50
 
1.1%
42
 
0.9%
정덕영 27
 
0.6%
임시위원장 27
 
0.6%
Other values (278) 893
19.2%
2023-12-12T22:38:25.898812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2637
17.9%
1792
12.1%
1327
 
9.0%
994
 
6.7%
960
 
6.5%
947
 
6.4%
827
 
5.6%
827
 
5.6%
417
 
2.8%
375
 
2.5%
Other values (107) 3651
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13890
94.1%
Space Separator 417
 
2.8%
Decimal Number 378
 
2.6%
Other Punctuation 27
 
0.2%
Close Punctuation 21
 
0.1%
Open Punctuation 21
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2637
19.0%
1792
12.9%
1327
9.6%
994
 
7.2%
960
 
6.9%
947
 
6.8%
827
 
6.0%
827
 
6.0%
375
 
2.7%
272
 
2.0%
Other values (94) 2932
21.1%
Decimal Number
ValueCountFrequency (%)
2 205
54.2%
1 55
 
14.6%
6 51
 
13.5%
7 26
 
6.9%
5 21
 
5.6%
3 16
 
4.2%
8 2
 
0.5%
4 2
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 26
96.3%
. 1
 
3.7%
Space Separator
ValueCountFrequency (%)
417
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13890
94.1%
Common 864
 
5.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2637
19.0%
1792
12.9%
1327
9.6%
994
 
7.2%
960
 
6.9%
947
 
6.8%
827
 
6.0%
827
 
6.0%
375
 
2.7%
272
 
2.0%
Other values (94) 2932
21.1%
Common
ValueCountFrequency (%)
417
48.3%
2 205
23.7%
1 55
 
6.4%
6 51
 
5.9%
, 26
 
3.0%
7 26
 
3.0%
) 21
 
2.4%
( 21
 
2.4%
5 21
 
2.4%
3 16
 
1.9%
Other values (3) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13890
94.1%
ASCII 864
 
5.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2637
19.0%
1792
12.9%
1327
9.6%
994
 
7.2%
960
 
6.9%
947
 
6.8%
827
 
6.0%
827
 
6.0%
375
 
2.7%
272
 
2.0%
Other values (94) 2932
21.1%
ASCII
ValueCountFrequency (%)
417
48.3%
2 205
23.7%
1 55
 
6.4%
6 51
 
5.9%
, 26
 
3.0%
7 26
 
3.0%
) 21
 
2.4%
( 21
 
2.4%
5 21
 
2.4%
3 16
 
1.9%
Other values (3) 5
 
0.6%

본회의보고일
Date

MISSING 

Distinct740
Distinct (%)19.6%
Missing458
Missing (%)10.8%
Memory size33.2 KiB
Minimum1991-04-16 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T22:38:26.075702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:26.246753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의상정일
Date

MISSING 

Distinct779
Distinct (%)20.3%
Missing391
Missing (%)9.2%
Memory size33.2 KiB
Minimum1991-04-16 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T22:38:26.401661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:26.544169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결일
Date

MISSING 

Distinct769
Distinct (%)20.0%
Missing394
Missing (%)9.3%
Memory size33.2 KiB
Minimum1991-04-16 00:00:00
Maximum2023-07-17 00:00:00
2023-12-12T22:38:26.998916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:27.127122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리결과
Categorical

IMBALANCE 

Distinct14
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
처리-가결(원안)
3606 
원안가결
 
357
처리-가결(수정)
 
129
처리-철회
 
49
처리-부결
 
41
Other values (9)
 
55

Length

Max length20
Median length9
Mean length8.4137361
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
처리-가결(원안) 3606
85.1%
원안가결 357
 
8.4%
처리-가결(수정) 129
 
3.0%
처리-철회 49
 
1.2%
처리-부결 41
 
1.0%
접수 27
 
0.6%
보류 12
 
0.3%
처리-폐기 6
 
0.1%
보고청취 3
 
0.1%
수정가결 2
 
< 0.1%
Other values (4) 5
 
0.1%

Length

2023-12-12T22:38:27.270548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
처리-가결(원안 3606
85.0%
원안가결 357
 
8.4%
처리-가결(수정 129
 
3.0%
처리-철회 49
 
1.2%
처리-부결 41
 
1.0%
접수 27
 
0.6%
보류 12
 
0.3%
처리-폐기 6
 
0.1%
보고청취 3
 
0.1%
부결 2
 
< 0.1%
Other values (8) 9
 
0.2%
Distinct3
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size33.2 KiB
Minimum2021-07-14 00:00:00
Maximum2023-07-24 00:00:00
2023-12-12T22:38:27.375719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:27.485019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=3)

Interactions

2023-12-12T22:38:22.253988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:21.975573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:22.380326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:38:22.118466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:38:27.568870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호의안종류처리결과데이터기준일자
대수1.0000.9980.5050.5680.941
의안번호0.9981.0000.3130.4900.645
의안종류0.5050.3131.0000.6500.669
처리결과0.5680.4900.6501.0000.843
데이터기준일자0.9410.6450.6690.8431.000
2023-12-12T22:38:27.672774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리결과의안종류
처리결과1.0000.221
의안종류0.2211.000
2023-12-12T22:38:27.770780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호의안종류처리결과
대수1.0000.7860.2400.281
의안번호0.7861.0000.1830.314
의안종류0.2400.1831.0000.221
처리결과0.2810.3140.2211.000

Missing values

2023-12-12T22:38:22.538607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:38:22.720706image/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.
2023-12-12T22:38:22.860515image/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

기관명대수의안번호의안명의안종류발의일발의자본회의보고일본회의상정일본회의의결일처리결과데이터기준일자
0양주시의회971416노동.연금.교육 3대 분야의 조속하고 확실한 개혁을 위한 촉구 결의안결의안2023-07-04강혜숙 의원2023-07-172023-07-172023-07-17원안가결2023-07-24
1양주시의회971415제357회 양주시의회(임시회) 회의록 서명의원 선출의 건기타안건2023-07-10의장2023-07-102023-07-102023-07-10원안가결2023-07-24
2양주시의회971414제357회 양주시의회(임시회) 회기 결정의 건기타안건2023-07-10의장2023-07-102023-07-102023-07-10원안가결2023-07-24
3양주시의회971413미국 헨라이코 카운티와의 자매결연 취소에 관한 동의안동의안/승인안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
4양주시의회971412중국 둥잉시 자매결연 체결에 관한 동의안동의안/승인안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
5양주시의회971411(사)양주시자원봉사센터 재위탁 동의안동의안/승인안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
6양주시의회971410양주시 4에이치활동 지원에 관한 조례안조례안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
7양주시의회971409양주시 심폐소생술 교육에 관한 조례 전부개정조례안조례안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
8양주시의회971408양주시 건축물관리 조례 일부개정조례안조례안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
9양주시의회971407양주시 침수방지시설 설치 지원 조례안조례안2023-07-03시장2023-07-102023-07-102023-07-17원안가결2023-07-24
기관명대수의안번호의안명의안종류발의일발의자본회의보고일본회의상정일본회의의결일처리결과데이터기준일자
4227양주시의회151991년1회추경경정예산안예산안1991-05-06양주군수(기획실장)1991-05-111991-05-111991-05-11처리-가결(수정)2021-07-14
4228양주시의회151991년도제2회추가경정예산안에대한예산수정안예산안1991-10-19위원장1991-10-211991-10-211991-10-21처리-가결(원안)2021-07-14
4229양주시의회14공유재산취득안공유재산1991-05-06양주군수(재무과장)1991-05-111991-05-111991-05-11처리-가결(원안)2021-07-14
4230양주시의회14제2회추가경정예산안심의관련한사업장현지확인안예산안1991-10-16한상익위원외1인1991-05-111991-05-111991-05-11처리-가결(원안)2021-07-14
4231양주시의회131991군정보고요구안기타안건1991-05-01안광순의원외2인1991-05-101991-05-101991-05-10처리-가결(원안)2021-07-14
4232양주시의회13예산결산특위위원장.간사선임안결산1991-10-16임시위원장1991-10-161991-10-161991-10-16처리-가결(원안)2021-07-14
4233양주시의회12차기임시회(협의)결정안기타안건1991-04-16의장1991-04-161991-04-161991-04-16처리-가결(원안)2021-07-14
4234양주시의회121991년도제1회추가경정예산안에대한수정안예산안1991-05-15위원장1991-05-161991-05-161991-05-16처리-가결(원안)2021-07-14
4235양주시의회11제1회 임시회 회기결정안기타안건1991-04-16의장1991-04-161991-04-161991-04-16처리-가결(원안)2021-07-14
4236양주시의회11예결특위위원장및간사선임건기타안건1991-05-13임시의원장1991-05-131991-05-131991-05-13처리-가결(원안)2021-07-14