Overview

Dataset statistics

Number of variables15
Number of observations179
Missing cells48
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory21.5 KiB
Average record size in memory122.7 B

Variable types

Numeric2
Text2
DateTime7
Categorical4

Dataset

Description경상남도 산청군 군의회 의원발의안 정보입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15038001

Alerts

소관위원회 처리결과 is highly overall correlated with 본회의 처리결과High correlation
본회의 처리결과 is highly overall correlated with 소관위원회 처리결과High correlation
연도 is highly overall correlated with 제안자 and 1 other fieldsHigh correlation
제안자 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
소관위원회 is highly overall correlated with 연도 and 1 other fieldsHigh correlation
소관위원회 처리결과 is highly imbalanced (71.4%)Imbalance
본회의 처리결과 is highly imbalanced (74.1%)Imbalance
의안번호 has 39 (21.8%) missing valuesMissing
소관위원회 회부일 has 3 (1.7%) missing valuesMissing
소관위원회 상정일 has 3 (1.7%) missing valuesMissing
소관위원회 의결일 has 3 (1.7%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:39:04.434302
Analysis finished2023-12-10 23:39:07.121512
Duration2.69 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)16.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2008.8939
Minimum1991
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T08:39:07.181140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1993
Q12004.5
median2011
Q32015
95-th percentile2019
Maximum2020
Range29
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation8.4882547
Coefficient of variation (CV)0.0042253376
Kurtosis-0.77297845
Mean2008.8939
Median Absolute Deviation (MAD)5
Skewness-0.63761998
Sum359592
Variance72.050468
MonotonicityDecreasing
2023-12-11T08:39:07.309315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2015 24
 
13.4%
2019 15
 
8.4%
2006 13
 
7.3%
2016 10
 
5.6%
2009 9
 
5.0%
2007 9
 
5.0%
2012 8
 
4.5%
2008 7
 
3.9%
2017 7
 
3.9%
2011 7
 
3.9%
Other values (19) 70
39.1%
ValueCountFrequency (%)
1991 3
1.7%
1992 5
2.8%
1993 3
1.7%
1994 6
3.4%
1995 6
3.4%
1996 1
 
0.6%
1997 4
2.2%
1998 3
1.7%
1999 3
1.7%
2000 5
2.8%
ValueCountFrequency (%)
2020 6
 
3.4%
2019 15
8.4%
2018 6
 
3.4%
2017 7
 
3.9%
2016 10
5.6%
2015 24
13.4%
2014 5
 
2.8%
2013 5
 
2.8%
2012 8
 
4.5%
2011 7
 
3.9%

의안번호
Real number (ℝ)

MISSING 

Distinct83
Distinct (%)59.3%
Missing39
Missing (%)21.8%
Infinite0
Infinite (%)0.0%
Mean46.178571
Minimum1
Maximum159
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-11T08:39:07.472341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18.75
median36
Q363
95-th percentile152.05
Maximum159
Range158
Interquartile range (IQR)54.25

Descriptive statistics

Standard deviation45.666963
Coefficient of variation (CV)0.98892108
Kurtosis0.3271404
Mean46.178571
Median Absolute Deviation (MAD)27
Skewness1.1498387
Sum6465
Variance2085.4715
MonotonicityNot monotonic
2023-12-11T08:39:07.643273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 13
 
7.3%
4 5
 
2.8%
3 5
 
2.8%
2 5
 
2.8%
15 5
 
2.8%
38 5
 
2.8%
5 3
 
1.7%
42 3
 
1.7%
16 3
 
1.7%
14 3
 
1.7%
Other values (73) 90
50.3%
(Missing) 39
21.8%
ValueCountFrequency (%)
1 13
7.3%
2 5
 
2.8%
3 5
 
2.8%
4 5
 
2.8%
5 3
 
1.7%
6 1
 
0.6%
7 2
 
1.1%
8 1
 
0.6%
9 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%

의안명
Text

Distinct129
Distinct (%)72.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T08:39:07.939828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length26.642458
Min length12

Characters and Unicode

Total characters4769
Distinct characters187
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique109 ?
Unique (%)60.9%

Sample

1st row산청군의회 의원 연구단체 구성 및 운영 조례안
2nd row산청군의회 공인 조례 전부개정조례안
3rd row산청군의회 의원 행동강령 조례 일부개정조례안
4th row산청군의회의원 상해 등 보상금 지급에 관한 조례 일부개정조례안
5th row산청?함양사건 희생자 유족에 대한 생활보조비 지원에 관한 조례안
ValueCountFrequency (%)
조례 88
 
8.1%
관한 84
 
7.8%
산청군 77
 
7.1%
및 65
 
6.0%
산청군의회 59
 
5.5%
일부개정조례안 57
 
5.3%
조례안 43
 
4.0%
중 33
 
3.0%
산청군의회의원 32
 
3.0%
개정조례안 32
 
3.0%
Other values (197) 512
47.3%
2023-12-11T08:39:08.352959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
903
18.9%
조 257
 
5.4%
례 255
 
5.3%
산 197
 
4.1%
의 189
 
4.0%
청 183
 
3.8%
안 180
 
3.8%
군 179
 
3.8%
정 161
 
3.4%
회 154
 
3.2%
Other values (177) 2111
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3864
81.0%
Space Separator 903
 
18.9%
Other Punctuation 1
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 257
 
6.7%
례 255
 
6.6%
산 197
 
5.1%
의 189
 
4.9%
청 183
 
4.7%
안 180
 
4.7%
군 179
 
4.6%
정 161
 
4.2%
회 154
 
4.0%
개 129
 
3.3%
Other values (174) 1980
51.2%
Space Separator
ValueCountFrequency (%)
903
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3864
81.0%
Common 905
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 257
 
6.7%
례 255
 
6.6%
산 197
 
5.1%
의 189
 
4.9%
청 183
 
4.7%
안 180
 
4.7%
군 179
 
4.6%
정 161
 
4.2%
회 154
 
4.0%
개 129
 
3.3%
Other values (174) 1980
51.2%
Common
ValueCountFrequency (%)
903
99.8%
? 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3864
81.0%
ASCII 905
 
19.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
903
99.8%
? 1
 
0.1%
1 1
 
0.1%
Hangul
ValueCountFrequency (%)
조 257
 
6.7%
례 255
 
6.6%
산 197
 
5.1%
의 189
 
4.9%
청 183
 
4.7%
안 180
 
4.7%
군 179
 
4.6%
정 161
 
4.2%
회 154
 
4.0%
개 129
 
3.3%
Other values (174) 1980
51.2%

제안일자
Date

Distinct104
Distinct (%)58.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-07-23 00:00:00
Maximum2020-05-26 00:00:00
2023-12-11T08:39:08.515267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:08.665866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Text

Distinct89
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T08:39:08.941290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length3.726257
Min length2

Characters and Unicode

Total characters667
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)27.4%

Sample

1st row265회
2nd row265회
3rd row266회
4th row267회
5th row267회
ValueCountFrequency (%)
234회 9
 
5.0%
162회 9
 
5.0%
232회 8
 
4.5%
258회 8
 
4.5%
233회 5
 
2.8%
153회 4
 
2.2%
148회 4
 
2.2%
263회 4
 
2.2%
199회 4
 
2.2%
207회 4
 
2.2%
Other values (79) 120
67.0%
2023-12-11T08:39:09.360728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 179
26.8%
2 141
21.1%
1 63
 
9.4%
3 53
 
7.9%
4 39
 
5.8%
6 39
 
5.8%
5 39
 
5.8%
8 33
 
4.9%
7 32
 
4.8%
9 26
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 488
73.2%
Other Letter 179
 
26.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 141
28.9%
1 63
12.9%
3 53
 
10.9%
4 39
 
8.0%
6 39
 
8.0%
5 39
 
8.0%
8 33
 
6.8%
7 32
 
6.6%
9 26
 
5.3%
0 23
 
4.7%
Other Letter
ValueCountFrequency (%)
회 179
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 488
73.2%
Hangul 179
 
26.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 141
28.9%
1 63
12.9%
3 53
 
10.9%
4 39
 
8.0%
6 39
 
8.0%
5 39
 
8.0%
8 33
 
6.8%
7 32
 
6.6%
9 26
 
5.3%
0 23
 
4.7%
Hangul
ValueCountFrequency (%)
회 179
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 488
73.2%
Hangul 179
 
26.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 179
100.0%
ASCII
ValueCountFrequency (%)
2 141
28.9%
1 63
12.9%
3 53
 
10.9%
4 39
 
8.0%
6 39
 
8.0%
5 39
 
8.0%
8 33
 
6.8%
7 32
 
6.6%
9 26
 
5.3%
0 23
 
4.7%

제안자
Categorical

HIGH CORRELATION 

Distinct41
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
김상겸
 
12
신동복
 
11
조성환
 
11
김명석
 
10
심재화
 
9
Other values (36)
126 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)3.4%

Sample

1st row심재화
2nd row송정덕
3rd row김수한
4th row심재화
5th row김수한

Common Values

ValueCountFrequency (%)
김상겸 12
 
6.7%
신동복 11
 
6.1%
조성환 11
 
6.1%
김명석 10
 
5.6%
심재화 9
 
5.0%
이만규 9
 
5.0%
이승화 7
 
3.9%
공윤실 7
 
3.9%
홍진술 7
 
3.9%
정명순 6
 
3.4%
Other values (31) 90
50.3%

Length

2023-12-11T08:39:09.498835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
김상겸 12
 
6.7%
조성환 11
 
6.1%
신동복 11
 
6.1%
김명석 10
 
5.6%
심재화 9
 
5.0%
이만규 9
 
5.0%
공윤실 7
 
3.9%
홍진술 7
 
3.9%
이승화 7
 
3.9%
정명순 6
 
3.4%
Other values (31) 90
50.3%

소관위원회
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
의회운영위원회
69 
조례심사특별위원회
56 
총무위원회
33 
산업건설위원회
18 
<NA>
 
3

Length

Max length9
Median length7
Mean length7.2067039
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의회운영위원회
2nd row의회운영위원회
3rd row의회운영위원회
4th row의회운영위원회
5th row총무위원회

Common Values

ValueCountFrequency (%)
의회운영위원회 69
38.5%
조례심사특별위원회 56
31.3%
총무위원회 33
18.4%
산업건설위원회 18
 
10.1%
<NA> 3
 
1.7%

Length

2023-12-11T08:39:09.621514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:09.738432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의회운영위원회 69
38.5%
조례심사특별위원회 56
31.3%
총무위원회 33
18.4%
산업건설위원회 18
 
10.1%
na 3
 
1.7%

소관위원회 회부일
Date

MISSING 

Distinct94
Distinct (%)53.4%
Missing3
Missing (%)1.7%
Memory size1.5 KiB
Minimum1992-02-08 00:00:00
Maximum2020-05-26 00:00:00
2023-12-11T08:39:09.862942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:10.036824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 상정일
Date

MISSING 

Distinct98
Distinct (%)55.7%
Missing3
Missing (%)1.7%
Memory size1.5 KiB
Minimum1992-02-13 00:00:00
Maximum2020-06-03 00:00:00
2023-12-11T08:39:10.180805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:10.356335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 의결일
Date

MISSING 

Distinct98
Distinct (%)55.7%
Missing3
Missing (%)1.7%
Memory size1.5 KiB
Minimum1992-02-13 00:00:00
Maximum2020-06-03 00:00:00
2023-12-11T08:39:10.492070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:10.623159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
원안가결
157 
수정가결
 
14
<NA>
 
3
대안가결
 
2
부결
 
2

Length

Max length4
Median length4
Mean length3.9664804
Min length2

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 157
87.7%
수정가결 14
 
7.8%
<NA> 3
 
1.7%
대안가결 2
 
1.1%
부결 2
 
1.1%
유보 1
 
0.6%

Length

2023-12-11T08:39:10.760938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:10.907064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 157
87.7%
수정가결 14
 
7.8%
na 3
 
1.7%
대안가결 2
 
1.1%
부결 2
 
1.1%
유보 1
 
0.6%

본회의 상정일
Date

Distinct91
Distinct (%)50.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-07-23 00:00:00
Maximum2020-06-22 00:00:00
2023-12-11T08:39:11.044567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:11.182292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 의결일
Date

Distinct92
Distinct (%)51.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-07-23 00:00:00
Maximum2020-06-22 00:00:00
2023-12-11T08:39:11.648080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:11.799305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
원안가결
160 
수정가결
 
15
부결
 
2
대안가결
 
1
유보
 
1

Length

Max length4
Median length4
Mean length3.9664804
Min length2

Unique

Unique2 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 160
89.4%
수정가결 15
 
8.4%
부결 2
 
1.1%
대안가결 1
 
0.6%
유보 1
 
0.6%

Length

2023-12-11T08:39:11.948405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:12.092903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 160
89.4%
수정가결 15
 
8.4%
부결 2
 
1.1%
대안가결 1
 
0.6%
유보 1
 
0.6%

집행부 이송일
Date

Distinct89
Distinct (%)49.7%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum1991-07-23 00:00:00
Maximum2020-06-22 00:00:00
2023-12-11T08:39:12.250595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:12.409447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T08:39:06.369257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:06.177451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:06.473127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:06.270769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:39:12.520293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의안번호제안회기제안자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일
연도1.0000.4901.0000.9420.7181.0001.0001.0000.3791.0001.0000.2671.000
의안번호0.4901.0000.9600.3790.6030.9950.9960.9960.2480.9920.9930.0000.993
제안회기1.0000.9601.0000.9550.9431.0001.0001.0000.9441.0001.0000.9031.000
제안자0.9420.3790.9551.0000.8700.9540.9480.9480.6800.9530.9520.0000.953
소관위원회0.7180.6030.9430.8701.0000.9390.9770.9770.1160.9140.9120.0210.923
소관위원회 회부일1.0000.9951.0000.9540.9391.0001.0001.0000.9371.0001.0000.8911.000
소관위원회 상정일1.0000.9961.0000.9480.9771.0001.0001.0000.9311.0001.0000.8781.000
소관위원회 의결일1.0000.9961.0000.9480.9771.0001.0001.0000.9311.0001.0000.8781.000
소관위원회 처리결과0.3790.2480.9440.6800.1160.9370.9310.9311.0000.9460.9360.9980.939
본회의 상정일1.0000.9921.0000.9530.9141.0001.0001.0000.9461.0001.0000.8901.000
본회의 의결일1.0000.9931.0000.9520.9121.0001.0001.0000.9361.0001.0000.8861.000
본회의 처리결과0.2670.0000.9030.0000.0210.8910.8780.8780.9980.8900.8861.0000.896
집행부 이송일1.0000.9931.0000.9530.9231.0001.0001.0000.9391.0001.0000.8961.000
2023-12-11T08:39:12.670051image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회 처리결과본회의 처리결과제안자소관위원회
소관위원회 처리결과1.0000.9330.3270.094
본회의 처리결과0.9331.0000.0000.013
제안자0.3270.0001.0000.538
소관위원회0.0940.0130.5381.000
2023-12-11T08:39:12.766085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의안번호제안자소관위원회소관위원회 처리결과본회의 처리결과
연도1.0000.2970.5780.5120.1630.107
의안번호0.2971.0000.1420.3000.1100.000
제안자0.5780.1421.0000.5380.3270.000
소관위원회0.5120.3000.5381.0000.0940.013
소관위원회 처리결과0.1630.1100.3270.0941.0000.933
본회의 처리결과0.1070.0000.0000.0130.9331.000

Missing values

2023-12-11T08:39:06.623502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:39:06.843211image/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.
2023-12-11T08:39:07.026014image/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

연도의안번호의안명제안일자제안회기제안자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일
0202015산청군의회 의원 연구단체 구성 및 운영 조례안2020-03-18265회심재화의회운영위원회2020-04-102020-04-202020-04-20원안가결2020-04-282020-04-28원안가결2020-04-28
1202016산청군의회 공인 조례 전부개정조례안2020-03-18265회송정덕의회운영위원회2020-04-102020-04-202020-04-20원안가결2020-04-282020-04-28원안가결2020-04-28
2202038산청군의회 의원 행동강령 조례 일부개정조례안2020-04-28266회김수한의회운영위원회2020-05-062020-05-132020-05-13원안가결2020-05-222020-05-22원안가결2020-05-22
3202054산청군의회의원 상해 등 보상금 지급에 관한 조례 일부개정조례안2020-05-26267회심재화의회운영위원회2020-05-262020-06-032020-06-03원안가결2020-06-222020-06-22원안가결2020-06-22
4202056산청?함양사건 희생자 유족에 대한 생활보조비 지원에 관한 조례안2020-05-18267회김수한총무위원회2020-05-262020-06-032020-06-03원안가결2020-06-222020-06-22원안가결2020-06-22
5202057산청군 건강가정지원센터 설치 및 운영에 관한 조례 일부개정조례안2020-02-11267회정명순총무위원회2020-05-262020-06-032020-06-03원안가결2020-06-222020-06-22원안가결2020-06-22
620191산청군 동학농민혁명 기념사업 지원에 관한 조례안2019-08-06261회조균환총무위원회2019-08-222019-08-262019-08-26원안가결2019-09-032019-09-03원안가결2019-09-03
72019112산청군의회 위원회 조례 일부개정조례안2019-11-11263회김수한의회운영위원회2019-11-262019-11-292019-11-29원안가결2019-12-162019-12-16원안가결2019-12-16
82019113산청군 결산검사위원 선임 및 운영에 관한 조례 일부개정조례안2019-11-11263회김두수의회운영위원회2019-11-262019-11-292019-11-29원안가결2019-12-162019-12-16원안가결2019-12-16
92019114산청군 산모신생아 건강관리 지원 조례안2019-11-10263회송정덕총무위원회2019-11-262019-11-292019-11-29원안가결2019-12-162019-12-16원안가결2019-12-16
연도의안번호의안명제안일자제안회기제안자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일
1691993<NA>산청군의회의원 일비 및 여비지급에 관한 조례 중 개정조례안1993-02-0915회공윤실조례심사특별위원회1993-02-101993-02-111993-02-11원안가결1993-02-101993-02-12원안가결1993-02-12
1701993<NA>산청군 행정정보공개조례 중 개정조례안1993-02-0915회공윤실조례심사특별위원회1993-02-101993-02-121993-02-12원안가결1993-02-101993-02-12원안가결1993-02-12
1711992<NA>산청군 행정정보공개조례안1992-09-0211회조계환조례심사특별위원회1992-09-021992-09-031992-09-03원안가결1992-09-021992-09-04원안가결1992-09-04
1721992<NA>산청군 결산검사위원선임 및 운영에 관한 조례 중 개정조례안1992-05-219회공윤실조례심사특별위원회1992-05-211992-05-271992-05-27원안가결1992-05-211992-05-29원안가결1992-05-29
1731992<NA>산청군의회 공인조례 중 개정조례안1992-05-219회공윤실조례심사특별위원회1992-05-211992-05-271992-05-27원안가결1992-05-211992-05-29원안가결1992-05-29
1741992<NA>산청군의회기 및 의원배지에 관한 규칙안1992-02-088회공윤실조례심사특별위원회1992-02-081992-02-131992-02-13원안가결1992-02-081992-02-15원안가결1992-02-15
1751992<NA>산청군의회의원 일비 및 여비지급에 관한 조례 중 개정조례안1992-02-088회이효근조례심사특별위원회1992-02-081992-02-131992-02-13원안가결1992-02-081992-02-15원안가결1992-02-15
1761991<NA>산청군 결산검사위원선임 및 운영에 관한 조례 중 개정조례안1991-07-233회이효근<NA><NA><NA><NA><NA>1991-07-231991-07-23수정가결1991-07-23
1771991<NA>산청군의회 공청회에 참가한 진술인에 대한 실비 변상에 관한 조례안1991-07-233회김호기<NA><NA><NA><NA><NA>1991-07-231991-07-23원안가결1991-07-23
1781991<NA>산청군의회에서의 증인 등 비용 지급에 관한 조례안1991-07-233회공갑석<NA><NA><NA><NA><NA>1991-07-231991-07-23원안가결1991-07-23