Overview

Dataset statistics

Number of variables16
Number of observations227
Missing cells51
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory28.9 KiB
Average record size in memory130.6 B

Variable types

Numeric2
Text2
DateTime7
Categorical5

Dataset

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

Alerts

데이터기준일자 has constant value ""Constant
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 (74.4%)Imbalance
본회의 처리결과 is highly imbalanced (77.6%)Imbalance
의안번호 has 39 (17.2%) missing valuesMissing
소관위원회 회부일 has 4 (1.8%) missing valuesMissing
소관위원회 상정일 has 4 (1.8%) missing valuesMissing
소관위원회 의결일 has 4 (1.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:38:54.597213
Analysis finished2023-12-10 23:38:56.666307
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Real number (ℝ)

HIGH CORRELATION 

Distinct31
Distinct (%)13.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2011.4978
Minimum1991
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T08:38:56.728561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1994
Q12006
median2015
Q32019
95-th percentile2022
Maximum2022
Range31
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.0682635
Coefficient of variation (CV)0.0045082145
Kurtosis-0.54180024
Mean2011.4978
Median Absolute Deviation (MAD)6
Skewness-0.76299286
Sum456610
Variance82.233402
MonotonicityDecreasing
2023-12-11T08:38:56.857192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
2021 26
 
11.5%
2015 24
 
10.6%
2022 16
 
7.0%
2019 15
 
6.6%
2006 13
 
5.7%
2020 12
 
5.3%
2016 10
 
4.4%
2007 9
 
4.0%
2009 9
 
4.0%
2012 8
 
3.5%
Other values (21) 85
37.4%
ValueCountFrequency (%)
1991 3
1.3%
1992 5
2.2%
1993 3
1.3%
1994 6
2.6%
1995 6
2.6%
1996 1
 
0.4%
1997 4
1.8%
1998 3
1.3%
1999 3
1.3%
2000 5
2.2%
ValueCountFrequency (%)
2022 16
7.0%
2021 26
11.5%
2020 12
5.3%
2019 15
6.6%
2018 6
 
2.6%
2017 7
 
3.1%
2016 10
 
4.4%
2015 24
10.6%
2014 5
 
2.2%
2013 5
 
2.2%

의안번호
Real number (ℝ)

MISSING 

Distinct102
Distinct (%)54.3%
Missing39
Missing (%)17.2%
Infinite0
Infinite (%)0.0%
Mean53.87234
Minimum1
Maximum168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-11T08:38:57.307915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q18.75
median38
Q378
95-th percentile159
Maximum168
Range167
Interquartile range (IQR)69.25

Descriptive statistics

Standard deviation53.560747
Coefficient of variation (CV)0.99421609
Kurtosis-0.5080988
Mean53.87234
Median Absolute Deviation (MAD)32.5
Skewness0.91433135
Sum10128
Variance2868.7537
MonotonicityNot monotonic
2023-12-11T08:38:57.437788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 15
 
6.6%
2 7
 
3.1%
3 7
 
3.1%
4 7
 
3.1%
15 6
 
2.6%
38 5
 
2.2%
5 4
 
1.8%
16 4
 
1.8%
14 4
 
1.8%
7 3
 
1.3%
Other values (92) 126
55.5%
(Missing) 39
 
17.2%
ValueCountFrequency (%)
1 15
6.6%
2 7
3.1%
3 7
3.1%
4 7
3.1%
5 4
 
1.8%
6 2
 
0.9%
7 3
 
1.3%
8 2
 
0.9%
9 2
 
0.9%
10 1
 
0.4%
ValueCountFrequency (%)
168 1
0.4%
167 1
0.4%
166 1
0.4%
165 1
0.4%
164 1
0.4%
163 1
0.4%
162 1
0.4%
161 1
0.4%
160 1
0.4%
159 2
0.9%

의안명
Text

Distinct166
Distinct (%)73.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:38:57.677079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length26.303965
Min length12

Characters and Unicode

Total characters5971
Distinct characters205
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)63.4%

Sample

1st row산청군의회의장 등에 대한 선거규정 일부개정규정안
2nd row산청군의회 회의규칙 일부개정규칙안
3rd row산청군의회 청원 심사 규칙 일부개정규칙안
4th row산청군의회 윤리특별위원회 구성·운영 등에 관한 규칙안
5th row산청군의회에서의 증인 등 비용지급에 관한 조례
ValueCountFrequency (%)
조례 105
 
7.7%
관한 103
 
7.6%
산청군 91
 
6.7%
산청군의회 88
 
6.5%
및 77
 
5.7%
일부개정조례안 72
 
5.3%
조례안 58
 
4.3%
산청군의회의원 34
 
2.5%
중 33
 
2.4%
개정조례안 32
 
2.4%
Other values (249) 666
49.0%
2023-12-11T08:38:58.043174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1133
19.0%
조 309
 
5.2%
례 304
 
5.1%
산 246
 
4.1%
의 242
 
4.1%
청 233
 
3.9%
안 229
 
3.8%
군 228
 
3.8%
회 197
 
3.3%
정 189
 
3.2%
Other values (195) 2661
44.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4836
81.0%
Space Separator 1133
 
19.0%
Decimal Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 309
 
6.4%
례 304
 
6.3%
산 246
 
5.1%
의 242
 
5.0%
청 233
 
4.8%
안 229
 
4.7%
군 228
 
4.7%
회 197
 
4.1%
정 189
 
3.9%
개 153
 
3.2%
Other values (192) 2506
51.8%
Space Separator
ValueCountFrequency (%)
1133
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Punctuation
ValueCountFrequency (%)
· 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4836
81.0%
Common 1135
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 309
 
6.4%
례 304
 
6.3%
산 246
 
5.1%
의 242
 
5.0%
청 233
 
4.8%
안 229
 
4.7%
군 228
 
4.7%
회 197
 
4.1%
정 189
 
3.9%
개 153
 
3.2%
Other values (192) 2506
51.8%
Common
ValueCountFrequency (%)
1133
99.8%
1 1
 
0.1%
· 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4834
81.0%
ASCII 1134
 
19.0%
Compat Jamo 2
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1133
99.9%
1 1
 
0.1%
Hangul
ValueCountFrequency (%)
조 309
 
6.4%
례 304
 
6.3%
산 246
 
5.1%
의 242
 
5.0%
청 233
 
4.8%
안 229
 
4.7%
군 228
 
4.7%
회 197
 
4.1%
정 189
 
3.9%
개 153
 
3.2%
Other values (191) 2504
51.8%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

제안일자
Date

Distinct116
Distinct (%)51.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1991-07-23 00:00:00
Maximum2022-03-04 00:00:00
2023-12-11T08:38:58.207677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:38:58.380692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Text

Distinct99
Distinct (%)43.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-11T08:38:58.692561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9955947
Min length2

Characters and Unicode

Total characters907
Distinct characters12
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

Unique53 ?
Unique (%)23.3%

Sample

1st row제280회
2nd row제280회
3rd row제280회
4th row제280회
5th row제280회
ValueCountFrequency (%)
제280회 16
 
7.0%
제279회 16
 
7.0%
162회 9
 
4.0%
234회 9
 
4.0%
232회 8
 
3.5%
258회 8
 
3.5%
233회 5
 
2.2%
153회 4
 
1.8%
263회 4
 
1.8%
148회 4
 
1.8%
Other values (89) 144
63.4%
2023-12-11T08:38:59.181141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 227
25.0%
2 193
21.3%
1 65
 
7.2%
7 63
 
6.9%
3 53
 
5.8%
8 50
 
5.5%
제 48
 
5.3%
6 44
 
4.9%
0 42
 
4.6%
9 42
 
4.6%
Other values (2) 80
 
8.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 632
69.7%
Other Letter 275
30.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 193
30.5%
1 65
 
10.3%
7 63
 
10.0%
3 53
 
8.4%
8 50
 
7.9%
6 44
 
7.0%
0 42
 
6.6%
9 42
 
6.6%
4 40
 
6.3%
5 40
 
6.3%
Other Letter
ValueCountFrequency (%)
회 227
82.5%
제 48
 
17.5%

Most occurring scripts

ValueCountFrequency (%)
Common 632
69.7%
Hangul 275
30.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 193
30.5%
1 65
 
10.3%
7 63
 
10.0%
3 53
 
8.4%
8 50
 
7.9%
6 44
 
7.0%
0 42
 
6.6%
9 42
 
6.6%
4 40
 
6.3%
5 40
 
6.3%
Hangul
ValueCountFrequency (%)
회 227
82.5%
제 48
 
17.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 632
69.7%
Hangul 275
30.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 227
82.5%
제 48
 
17.5%
ASCII
ValueCountFrequency (%)
2 193
30.5%
1 65
 
10.3%
7 63
 
10.0%
3 53
 
8.4%
8 50
 
7.9%
6 44
 
7.0%
0 42
 
6.6%
9 42
 
6.6%
4 40
 
6.3%
5 40
 
6.3%

제안자
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)18.5%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
신동복
17 
조병식
 
14
김상겸
 
12
송정덕
 
11
심재화
 
11
Other values (37)
162 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique6 ?
Unique (%)2.6%

Sample

1st row조병식
2nd row신동복
3rd row안천원
4th row송정덕
5th row조병식

Common Values

ValueCountFrequency (%)
신동복 17
 
7.5%
조병식 14
 
6.2%
김상겸 12
 
5.3%
송정덕 11
 
4.8%
심재화 11
 
4.8%
조성환 11
 
4.8%
이만규 11
 
4.8%
김수한 11
 
4.8%
김명석 10
 
4.4%
김두수 8
 
3.5%
Other values (32) 111
48.9%

Length

2023-12-11T08:38:59.343003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신동복 17
 
7.5%
조병식 14
 
6.2%
김상겸 12
 
5.3%
송정덕 11
 
4.8%
심재화 11
 
4.8%
조성환 11
 
4.8%
이만규 11
 
4.8%
김수한 11
 
4.8%
김명석 10
 
4.4%
정명순 8
 
3.5%
Other values (32) 111
48.9%

소관위원회
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
의회운영위원회
105 
조례심사특별위원회
56 
총무위원회
39 
산업건설위원회
24 
<NA>
 
3

Length

Max length9
Median length7
Mean length7.1101322
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의회운영위원회 105
46.3%
조례심사특별위원회 56
24.7%
총무위원회 39
 
17.2%
산업건설위원회 24
 
10.6%
<NA> 3
 
1.3%

Length

2023-12-11T08:38:59.488376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:38:59.624764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의회운영위원회 105
46.3%
조례심사특별위원회 56
24.7%
총무위원회 39
 
17.2%
산업건설위원회 24
 
10.6%
na 3
 
1.3%

소관위원회 회부일
Date

MISSING 

Distinct103
Distinct (%)46.2%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
Minimum1992-02-08 00:00:00
Maximum2022-03-14 00:00:00
2023-12-11T08:38:59.770164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:38:59.941650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 상정일
Date

MISSING 

Distinct110
Distinct (%)49.3%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
Minimum1992-02-13 00:00:00
Maximum2022-03-22 00:00:00
2023-12-11T08:39:00.100060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:00.270226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 의결일
Date

MISSING 

Distinct110
Distinct (%)49.3%
Missing4
Missing (%)1.8%
Memory size1.9 KiB
Minimum1992-02-13 00:00:00
Maximum2022-03-22 00:00:00
2023-12-11T08:39:00.420137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:00.579911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
원안가결
203 
수정가결
 
15
<NA>
 
4
대안가결
 
2
부결
 
2

Length

Max length4
Median length4
Mean length3.9735683
Min length2

Unique

Unique1 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 203
89.4%
수정가결 15
 
6.6%
<NA> 4
 
1.8%
대안가결 2
 
0.9%
부결 2
 
0.9%
유보 1
 
0.4%

Length

2023-12-11T08:39:00.740745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:00.891260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 203
89.4%
수정가결 15
 
6.6%
na 4
 
1.8%
대안가결 2
 
0.9%
부결 2
 
0.9%
유보 1
 
0.4%

본회의 상정일
Date

Distinct102
Distinct (%)44.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1991-07-23 00:00:00
Maximum2021-12-20 00:00:00
2023-12-11T08:39:01.052218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:01.180053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 의결일
Date

Distinct103
Distinct (%)45.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1991-07-23 00:00:00
Maximum2021-12-20 00:00:00
2023-12-11T08:39:01.326997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:01.468777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
원안가결
207 
수정가결
 
16
부결
 
2
대안가결
 
1
유보
 
1

Length

Max length4
Median length4
Mean length3.9735683
Min length2

Unique

Unique2 ?
Unique (%)0.9%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 207
91.2%
수정가결 16
 
7.0%
부결 2
 
0.9%
대안가결 1
 
0.4%
유보 1
 
0.4%

Length

2023-12-11T08:39:01.602165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:01.737848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 207
91.2%
수정가결 16
 
7.0%
부결 2
 
0.9%
대안가결 1
 
0.4%
유보 1
 
0.4%

집행부 이송일
Date

Distinct100
Distinct (%)44.1%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
Minimum1991-07-23 00:00:00
Maximum2022-03-28 00:00:00
2023-12-11T08:39:01.860439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:39:02.024440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2022-05-31
227 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-05-31
2nd row2022-05-31
3rd row2022-05-31
4th row2022-05-31
5th row2022-05-31

Common Values

ValueCountFrequency (%)
2022-05-31 227
100.0%

Length

2023-12-11T08:39:02.163893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:39:02.280767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-05-31 227
100.0%

Interactions

2023-12-11T08:38:55.877246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:38:55.643232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:38:55.982709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:38:55.759097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:39:02.347610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의안번호제안회기제안자소관위원회소관위원회 처리결과본회의 처리결과집행부 이송일
연도1.0000.5050.9990.9330.7540.4400.3561.000
의안번호0.5051.0000.9720.2530.4250.1900.0000.979
제안회기0.9990.9721.0000.9670.9500.9540.9231.000
제안자0.9330.2530.9671.0000.8170.7060.3670.963
소관위원회0.7540.4250.9500.8171.0000.1410.0950.946
소관위원회 처리결과0.4400.1900.9540.7060.1411.0000.9980.952
본회의 처리결과0.3560.0000.9230.3670.0950.9981.0000.926
집행부 이송일1.0000.9791.0000.9630.9460.9520.9261.000
2023-12-11T08:39:02.495274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회 처리결과본회의 처리결과제안자소관위원회
소관위원회 처리결과1.0000.9340.3800.115
본회의 처리결과0.9341.0000.1620.077
제안자0.3800.1621.0000.518
소관위원회0.1150.0770.5181.000
2023-12-11T08:39:02.627330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도의안번호제안자소관위원회소관위원회 처리결과본회의 처리결과
연도1.0000.2290.6140.5560.1950.155
의안번호0.2291.0000.0730.2620.1120.000
제안자0.6140.0731.0000.5180.3800.162
소관위원회0.5560.2620.5181.0000.1150.077
소관위원회 처리결과0.1950.1120.3800.1151.0000.934
본회의 처리결과0.1550.0000.1620.0770.9341.000

Missing values

2023-12-11T08:38:56.158444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:38:56.383159image/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.
2023-12-11T08:38:56.561744image/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 이송일데이터기준일자
0202216산청군의회의장 등에 대한 선거규정 일부개정규정안2022-03-04제280회조병식의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
1202215산청군의회 회의규칙 일부개정규칙안2022-03-04제280회신동복의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
2202214산청군의회 청원 심사 규칙 일부개정규칙안2022-03-04제280회안천원의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
3202213산청군의회 윤리특별위원회 구성·운영 등에 관한 규칙안2022-03-04제280회송정덕의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
4202212산청군의회에서의 증인 등 비용지급에 관한 조례2022-03-04제280회조병식의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
5202211산청군의회의원 의정활동비 등 지급에 관한 조례 일부개정조례안2022-03-04제280회송정덕의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
6202210산청군의회의원 상해 등 보상금 지급에 관한 조례 일부개정조례안2022-03-04제280회안천원의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
720229산청군의회 출석ㆍ답변할 수 있는 관계공무원의 범위에 관한 조례 일부개정조례안2022-03-04제280회이만규의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
820228산청군의회 회기 및 운영에 관한 조례 일부개정조례안2022-03-04제280회김두수의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
920227산청군의회 행정사무감사 및 조사에 관한 조례 일부개정조례안2022-03-04제280회조균환의회운영위원회2022-03-142022-03-222022-03-22원안가결2021-03-282021-03-28원안가결2022-03-282022-05-31
연도의안번호의안명제안일자제안회기제안자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일데이터기준일자
2171993<NA>산청군의회의원 일비 및 여비지급에 관한 조례 중 개정조례안1993-02-0915회공윤실조례심사특별위원회1993-02-101993-02-111993-02-11원안가결1993-02-101993-02-12원안가결1993-02-122022-05-31
2181993<NA>산청군 행정정보공개조례 중 개정조례안1993-02-0915회공윤실조례심사특별위원회1993-02-101993-02-121993-02-12원안가결1993-02-101993-02-12원안가결1993-02-122022-05-31
2191992<NA>산청군 행정정보공개조례안1992-09-0211회조계환조례심사특별위원회1992-09-021992-09-031992-09-03원안가결1992-09-021992-09-04원안가결1992-09-042022-05-31
2201992<NA>산청군 결산검사위원선임 및 운영에 관한 조례 중 개정조례안1992-05-219회공윤실조례심사특별위원회1992-05-211992-05-271992-05-27원안가결1992-05-211992-05-29원안가결1992-05-292022-05-31
2211992<NA>산청군의회 공인조례 중 개정조례안1992-05-219회공윤실조례심사특별위원회1992-05-211992-05-271992-05-27원안가결1992-05-211992-05-29원안가결1992-05-292022-05-31
2221992<NA>산청군의회기 및 의원배지에 관한 규칙안1992-02-088회공윤실조례심사특별위원회1992-02-081992-02-131992-02-13원안가결1992-02-081992-02-15원안가결1992-02-152022-05-31
2231992<NA>산청군의회의원 일비 및 여비지급에 관한 조례 중 개정조례안1992-02-088회이효근조례심사특별위원회1992-02-081992-02-131992-02-13원안가결1992-02-081992-02-15원안가결1992-02-152022-05-31
2241991<NA>산청군 결산검사위원선임 및 운영에 관한 조례 중 개정조례안1991-07-233회이효근<NA><NA><NA><NA><NA>1991-07-231991-07-23수정가결1991-07-232022-05-31
2251991<NA>산청군의회 공청회에 참가한 진술인에 대한 실비 변상에 관한 조례안1991-07-233회김호기<NA><NA><NA><NA><NA>1991-07-231991-07-23원안가결1991-07-232022-05-31
2261991<NA>산청군의회에서의 증인 등 비용 지급에 관한 조례안1991-07-233회공갑석<NA><NA><NA><NA><NA>1991-07-231991-07-23원안가결1991-07-232022-05-31