Overview

Dataset statistics

Number of variables16
Number of observations823
Missing cells663
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.4 KiB
Average record size in memory131.2 B

Variable types

Numeric2
Text1
Categorical6
DateTime7

Dataset

Description경상남도 창원시 초대부터 현재 까지의 의안정보(의안번호, 의안명, 제안회기, 제안자, 소관위위원호, 본회의 상정일 등) 입니다.
Author경상남도 창원시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15038026

Alerts

대수별 has constant value ""Constant
의안번호 is highly overall correlated with 회기별High correlation
회기별 is highly overall correlated with 의안번호High correlation
의안종류 is highly overall correlated with 발의자(제출자) and 1 other fieldsHigh correlation
발의자(제출자) is highly overall correlated with 의안종류 and 1 other fieldsHigh correlation
소관위원회 위원회 is highly overall correlated with 의안종류 and 1 other fieldsHigh correlation
소관위원회처리결과 is highly overall correlated with 본회의처리결과High correlation
본회의처리결과 is highly overall correlated with 소관위원회처리결과High correlation
본회의처리결과 is highly imbalanced (59.5%)Imbalance
소관위원회회부일 has 182 (22.1%) missing valuesMissing
소관위원회상정일 has 188 (22.8%) missing valuesMissing
소관위원회처리일 has 197 (23.9%) missing valuesMissing
본회의보고일 has 34 (4.1%) missing valuesMissing
본회의상정일 has 31 (3.8%) missing valuesMissing
본회의처리일 has 31 (3.8%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:16:11.515365
Analysis finished2023-12-10 23:16:13.888034
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct822
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean413.774
Minimum1
Maximum827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-11T08:16:13.959419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile42.1
Q1206.5
median415
Q3620.5
95-th percentile784.9
Maximum827
Range826
Interquartile range (IQR)414

Descriptive statistics

Standard deviation239.12248
Coefficient of variation (CV)0.57790601
Kurtosis-1.2050612
Mean413.774
Median Absolute Deviation (MAD)207
Skewness-0.0010834924
Sum340536
Variance57179.56
MonotonicityIncreasing
2023-12-11T08:16:14.125952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
707 2
 
0.2%
1 1
 
0.1%
544 1
 
0.1%
546 1
 
0.1%
547 1
 
0.1%
548 1
 
0.1%
549 1
 
0.1%
550 1
 
0.1%
551 1
 
0.1%
552 1
 
0.1%
Other values (812) 812
98.7%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
827 1
0.1%
826 1
0.1%
825 1
0.1%
824 1
0.1%
823 1
0.1%
822 1
0.1%
821 1
0.1%
820 1
0.1%
819 1
0.1%
818 1
0.1%

건명
Text

Distinct698
Distinct (%)84.8%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
2023-12-11T08:16:14.420137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length44
Mean length26.727825
Min length7

Characters and Unicode

Total characters21997
Distinct characters460
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique632 ?
Unique (%)76.8%

Sample

1st row의장선거의 건
2nd row제76회 창원시의회(임시회) 회기 결정의 건
3rd row부의장 선거의 건
4th row상임위원장 선거의 건
5th row상임위원회 위원 선임의 건
ValueCountFrequency (%)
창원시 491
 
9.9%
조례 314
 
6.3%
일부개정조례안 266
 
5.4%
및 248
 
5.0%
관한 226
 
4.6%
조례안 163
 
3.3%
건 138
 
2.8%
운영 90
 
1.8%
설치 73
 
1.5%
지원에 62
 
1.2%
Other values (1325) 2890
58.3%
2023-12-11T08:16:14.925610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4159
 
18.9%
원 895
 
4.1%
조 836
 
3.8%
례 811
 
3.7%
시 801
 
3.6%
안 728
 
3.3%
창 630
 
2.9%
정 542
 
2.5%
의 508
 
2.3%
관 428
 
1.9%
Other values (450) 11659
53.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16836
76.5%
Space Separator 4159
 
18.9%
Decimal Number 489
 
2.2%
Close Punctuation 192
 
0.9%
Open Punctuation 191
 
0.9%
Other Punctuation 94
 
0.4%
Uppercase Letter 26
 
0.1%
Math Symbol 5
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 895
 
5.3%
조 836
 
5.0%
례 811
 
4.8%
시 801
 
4.8%
안 728
 
4.3%
창 630
 
3.7%
정 542
 
3.2%
의 508
 
3.0%
관 428
 
2.5%
부 376
 
2.2%
Other values (405) 10281
61.1%
Uppercase Letter
ValueCountFrequency (%)
T 5
19.2%
S 3
11.5%
X 3
11.5%
P 2
 
7.7%
B 2
 
7.7%
A 2
 
7.7%
R 1
 
3.8%
K 1
 
3.8%
I 1
 
3.8%
C 1
 
3.8%
Other values (5) 5
19.2%
Decimal Number
ValueCountFrequency (%)
2 149
30.5%
0 107
21.9%
1 88
18.0%
8 45
 
9.2%
9 36
 
7.4%
3 19
 
3.9%
5 17
 
3.5%
7 11
 
2.2%
4 10
 
2.0%
6 7
 
1.4%
Other Punctuation
ValueCountFrequency (%)
· 38
40.4%
, 17
18.1%
; 11
 
11.7%
# 11
 
11.7%
& 11
 
11.7%
. 3
 
3.2%
! 2
 
2.1%
: 1
 
1.1%
Close Punctuation
ValueCountFrequency (%)
) 177
92.2%
] 12
 
6.2%
」 2
 
1.0%
』 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 176
92.1%
[ 12
 
6.3%
「 2
 
1.0%
『 1
 
0.5%
Space Separator
ValueCountFrequency (%)
4159
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16835
76.5%
Common 5135
 
23.3%
Latin 26
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 895
 
5.3%
조 836
 
5.0%
례 811
 
4.8%
시 801
 
4.8%
안 728
 
4.3%
창 630
 
3.7%
정 542
 
3.2%
의 508
 
3.0%
관 428
 
2.5%
부 376
 
2.2%
Other values (404) 10280
61.1%
Common
ValueCountFrequency (%)
4159
81.0%
) 177
 
3.4%
( 176
 
3.4%
2 149
 
2.9%
0 107
 
2.1%
1 88
 
1.7%
8 45
 
0.9%
· 38
 
0.7%
9 36
 
0.7%
3 19
 
0.4%
Other values (20) 141
 
2.7%
Latin
ValueCountFrequency (%)
T 5
19.2%
S 3
11.5%
X 3
11.5%
P 2
 
7.7%
B 2
 
7.7%
A 2
 
7.7%
R 1
 
3.8%
K 1
 
3.8%
I 1
 
3.8%
C 1
 
3.8%
Other values (5) 5
19.2%
Han
ValueCountFrequency (%)
對 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16825
76.5%
ASCII 5116
 
23.3%
None 44
 
0.2%
Compat Jamo 10
 
< 0.1%
Modifier Letters 1
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4159
81.3%
) 177
 
3.5%
( 176
 
3.4%
2 149
 
2.9%
0 107
 
2.1%
1 88
 
1.7%
8 45
 
0.9%
9 36
 
0.7%
3 19
 
0.4%
, 17
 
0.3%
Other values (29) 143
 
2.8%
Hangul
ValueCountFrequency (%)
원 895
 
5.3%
조 836
 
5.0%
례 811
 
4.8%
시 801
 
4.8%
안 728
 
4.3%
창 630
 
3.7%
정 542
 
3.2%
의 508
 
3.0%
관 428
 
2.5%
부 376
 
2.2%
Other values (403) 10270
61.0%
None
ValueCountFrequency (%)
· 38
86.4%
「 2
 
4.5%
」 2
 
4.5%
』 1
 
2.3%
『 1
 
2.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%
CJK
ValueCountFrequency (%)
對 1
100.0%

의안종류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
조례안
478 
동의(승인)안
146 
건의(결의)안
84 
의견제시안
 
38
예산(결산)·기금
 
31
Other values (5)
 
46

Length

Max length9
Median length3
Mean length4.5224787
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row선임(선출)안
2nd row동의(승인)안
3rd row선임(선출)안
4th row선임(선출)안
5th row선임(선출)안

Common Values

ValueCountFrequency (%)
조례안 478
58.1%
동의(승인)안 146
 
17.7%
건의(결의)안 84
 
10.2%
의견제시안 38
 
4.6%
예산(결산)·기금 31
 
3.8%
선임(선출)안 14
 
1.7%
보고 12
 
1.5%
기타 10
 
1.2%
규칙(규정)안 9
 
1.1%
<NA> 1
 
0.1%

Length

2023-12-11T08:16:15.060961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:16:15.201061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 478
58.1%
동의(승인)안 146
 
17.7%
건의(결의)안 84
 
10.2%
의견제시안 38
 
4.6%
예산(결산)·기금 31
 
3.8%
선임(선출)안 14
 
1.7%
보고 12
 
1.5%
기타 10
 
1.2%
규칙(규정)안 9
 
1.1%
na 1
 
0.1%

발의자(제출자)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
시장
469 
의원
265 
의장
65 
위원장
 
23
<NA>
 
1

Length

Max length4
Median length2
Mean length2.0303767
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
시장 469
57.0%
의원 265
32.2%
의장 65
 
7.9%
위원장 23
 
2.8%
<NA> 1
 
0.1%

Length

2023-12-11T08:16:15.346787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:16:15.454695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시장 469
57.0%
의원 265
32.2%
의장 65
 
7.9%
위원장 23
 
2.8%
na 1
 
0.1%

발의일(제출일)
Date

Distinct160
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
Minimum2017-07-17 00:00:00
Maximum2021-09-09 00:00:00
2023-12-11T08:16:15.597475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:15.728264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 위원회
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
경제복지여성위원회
187 
기획행정위원회
180 
<NA>
151 
문화도시건설위원회
82 
문화환경도시위원회
66 
Other values (6)
157 

Length

Max length9
Median length9
Mean length7.4070474
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
경제복지여성위원회 187
22.7%
기획행정위원회 180
21.9%
<NA> 151
18.3%
문화도시건설위원회 82
10.0%
문화환경도시위원회 66
 
8.0%
환경해양농림위원회 59
 
7.2%
예산결산특별위원회 29
 
3.5%
본회의 26
 
3.2%
건설해양농림위원회 23
 
2.8%
의회운영위원회 19
 
2.3%

Length

2023-12-11T08:16:15.854336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경제복지여성위원회 187
22.7%
기획행정위원회 180
21.9%
na 151
18.3%
문화도시건설위원회 82
10.0%
문화환경도시위원회 66
 
8.0%
환경해양농림위원회 59
 
7.2%
예산결산특별위원회 29
 
3.5%
본회의 26
 
3.2%
건설해양농림위원회 23
 
2.8%
의회운영위원회 19
 
2.3%

소관위원회회부일
Date

MISSING 

Distinct55
Distinct (%)8.6%
Missing182
Missing (%)22.1%
Memory size6.6 KiB
Minimum2018-07-12 00:00:00
Maximum2021-09-01 00:00:00
2023-12-11T08:16:15.969325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:16.091036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회상정일
Date

MISSING 

Distinct93
Distinct (%)14.6%
Missing188
Missing (%)22.8%
Memory size6.6 KiB
Minimum2018-07-20 00:00:00
Maximum2021-09-14 00:00:00
2023-12-11T08:16:16.243776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:16.387863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회처리일
Date

MISSING 

Distinct93
Distinct (%)14.9%
Missing197
Missing (%)23.9%
Memory size6.6 KiB
Minimum2018-07-20 00:00:00
Maximum2021-09-14 00:00:00
2023-12-11T08:16:16.528123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:16.886289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회처리결과
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
원안가결
495 
<NA>
199 
수정가결
100 
심사보류
 
11
부결
 
6
Other values (3)
 
12

Length

Max length4
Median length4
Mean length3.9611179
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 495
60.1%
<NA> 199
24.2%
수정가결 100
 
12.2%
심사보류 11
 
1.3%
부결 6
 
0.7%
철회 4
 
0.5%
미상정 4
 
0.5%
기타 4
 
0.5%

Length

2023-12-11T08:16:17.014505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:16:17.137118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 495
60.1%
na 199
24.2%
수정가결 100
 
12.2%
심사보류 11
 
1.3%
부결 6
 
0.7%
철회 4
 
0.5%
미상정 4
 
0.5%
기타 4
 
0.5%

본회의보고일
Date

MISSING 

Distinct68
Distinct (%)8.6%
Missing34
Missing (%)4.1%
Memory size6.6 KiB
Minimum2018-07-01 00:00:00
Maximum2021-09-15 00:00:00
2023-12-11T08:16:17.304105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:17.441912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의상정일
Date

MISSING 

Distinct66
Distinct (%)8.3%
Missing31
Missing (%)3.8%
Memory size6.6 KiB
Minimum2018-07-01 00:00:00
Maximum2021-09-15 00:00:00
2023-12-11T08:16:17.578442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:17.723157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리일
Date

MISSING 

Distinct66
Distinct (%)8.3%
Missing31
Missing (%)3.8%
Memory size6.6 KiB
Minimum2018-07-01 00:00:00
Maximum2021-09-15 00:00:00
2023-12-11T08:16:17.854853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:17.985336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct6
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
원안가결
642 
수정가결
102 
<NA>
69 
부결
 
5
철회
 
3

Length

Max length4
Median length4
Mean length3.9756987
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 642
78.0%
수정가결 102
 
12.4%
<NA> 69
 
8.4%
부결 5
 
0.6%
철회 3
 
0.4%
기타 2
 
0.2%

Length

2023-12-11T08:16:18.124294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:16:18.240793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 642
78.0%
수정가결 102
 
12.4%
na 69
 
8.4%
부결 5
 
0.6%
철회 3
 
0.4%
기타 2
 
0.2%

회기별
Real number (ℝ)

HIGH CORRELATION 

Distinct32
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.301337
Minimum76
Maximum107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size7.4 KiB
2023-12-11T08:16:18.356111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile78
Q184
median94
Q3100
95-th percentile106
Maximum107
Range31
Interquartile range (IQR)16

Descriptive statistics

Standard deviation9.1890968
Coefficient of variation (CV)0.099555403
Kurtosis-1.3230542
Mean92.301337
Median Absolute Deviation (MAD)8
Skewness-0.086994784
Sum75964
Variance84.439499
MonotonicityNot monotonic
2023-12-11T08:16:18.485775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
80 54
 
6.6%
100 53
 
6.4%
89 51
 
6.2%
95 49
 
6.0%
103 45
 
5.5%
102 43
 
5.2%
98 34
 
4.1%
79 33
 
4.0%
83 32
 
3.9%
88 32
 
3.9%
Other values (22) 397
48.2%
ValueCountFrequency (%)
76 5
 
0.6%
77 14
 
1.7%
78 27
3.3%
79 33
4.0%
80 54
6.6%
81 22
2.7%
82 3
 
0.4%
83 32
3.9%
84 24
2.9%
85 29
3.5%
ValueCountFrequency (%)
107 28
3.4%
106 21
 
2.6%
105 29
3.5%
104 12
 
1.5%
103 45
5.5%
102 43
5.2%
101 21
 
2.6%
100 53
6.4%
99 29
3.5%
98 34
4.1%

대수별
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size6.6 KiB
3
823 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row3
3rd row3
4th row3
5th row3

Common Values

ValueCountFrequency (%)
3 823
100.0%

Length

2023-12-11T08:16:18.608809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:16:18.700659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 823
100.0%

Interactions

2023-12-11T08:16:13.134084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:12.909826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:13.224407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:16:13.016300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:16:18.766458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호의안종류발의자(제출자)소관위원회 위원회소관위원회회부일소관위원회상정일소관위원회처리일소관위원회처리결과본회의보고일본회의상정일본회의처리일본회의처리결과회기별
의안번호1.0000.2170.2050.6310.9950.9960.9960.0160.9950.9940.9940.1610.992
의안종류0.2171.0000.6980.8100.8140.9090.9010.3590.7230.7480.7480.2840.222
발의자(제출자)0.2050.6981.0000.7270.9250.7810.7720.1660.7360.7290.7290.1190.208
소관위원회 위원회0.6310.8100.7271.0000.8860.9440.9440.3930.7840.7550.7550.6930.617
소관위원회회부일0.9950.8140.9250.8861.0000.9980.9980.5620.9980.9990.9990.6771.000
소관위원회상정일0.9960.9090.7810.9440.9981.0001.0000.6721.0001.0001.0000.9241.000
소관위원회처리일0.9960.9010.7720.9440.9981.0001.0000.8311.0001.0001.0000.9641.000
소관위원회처리결과0.0160.3590.1660.3930.5620.6720.8311.0000.6400.2160.2160.9830.000
본회의보고일0.9950.7230.7360.7840.9981.0001.0000.6401.0001.0001.0000.4381.000
본회의상정일0.9940.7480.7290.7550.9991.0001.0000.2161.0001.0001.0000.0001.000
본회의처리일0.9940.7480.7290.7550.9991.0001.0000.2161.0001.0001.0000.0001.000
본회의처리결과0.1610.2840.1190.6930.6770.9240.9640.9830.4380.0000.0001.0000.132
회기별0.9920.2220.2080.6171.0001.0001.0000.0001.0001.0001.0000.1321.000
2023-12-11T08:16:18.953570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안종류발의자(제출자)소관위원회 위원회본회의처리결과소관위원회처리결과
의안종류1.0000.5300.5430.1670.201
발의자(제출자)0.5301.0000.5300.0970.114
소관위원회 위원회0.5430.5301.0000.3570.219
본회의처리결과0.1670.0970.3571.0000.811
소관위원회처리결과0.2010.1140.2190.8111.000
2023-12-11T08:16:19.058214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호회기별의안종류발의자(제출자)소관위원회 위원회소관위원회처리결과본회의처리결과
의안번호1.0000.9990.1000.1230.2390.0060.067
회기별0.9991.0000.1020.1250.2310.0000.055
의안종류0.1000.1021.0000.5300.5430.2010.167
발의자(제출자)0.1230.1250.5301.0000.5300.1140.097
소관위원회 위원회0.2390.2310.5430.5301.0000.2190.357
소관위원회처리결과0.0060.0000.2010.1140.2191.0000.811
본회의처리결과0.0670.0550.1670.0970.3570.8111.000

Missing values

2023-12-11T08:16:13.363194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:16:13.593959image/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.
2023-12-11T08:16:13.767850image/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

의안번호건명의안종류발의자(제출자)발의일(제출일)소관위원회 위원회소관위원회회부일소관위원회상정일소관위원회처리일소관위원회처리결과본회의보고일본회의상정일본회의처리일본회의처리결과회기별대수별
01의장선거의 건선임(선출)안의장2018-07-01<NA><NA><NA><NA><NA>2018-07-012018-07-012018-07-01<NA>763
12제76회 창원시의회(임시회) 회기 결정의 건동의(승인)안의장2018-07-01<NA><NA><NA><NA><NA>2018-07-012018-07-012018-07-01원안가결763
23부의장 선거의 건선임(선출)안의장2018-07-01<NA><NA><NA><NA><NA>2018-07-012018-07-012018-07-01<NA>763
34상임위원장 선거의 건선임(선출)안의장2018-07-01<NA><NA><NA><NA><NA>2018-07-012018-07-012018-07-01<NA>763
45상임위원회 위원 선임의 건선임(선출)안의장2018-07-02<NA><NA><NA><NA><NA>2018-07-022018-07-022018-07-02원안가결763
56창원시 인구정책 기본 조례안조례안시장2018-07-11기획행정위원회2018-07-122018-07-202018-07-20원안가결2018-07-262018-07-262018-07-26원안가결773
67창원시 지방보조금 관리 조례 일부개정조례안조례안시장2018-07-11기획행정위원회2018-07-122018-07-202018-07-20원안가결2018-07-262018-07-262018-07-26원안가결773
78알기 쉬운 법령 정비기준에 따른 창원시 시민참여 기본 조례 등 일괄 개정조례안조례안시장2018-07-11기획행정위원회2018-07-122018-07-202018-07-20원안가결2018-07-262018-07-262018-07-26원안가결773
89창원시 지방공무원 복무 조례 일부개정조례안조례안시장2018-07-11기획행정위원회2018-07-122018-07-202018-07-20원안가결2018-07-262018-07-262018-07-26원안가결773
910창원시 읍,면사무소, 동 주민센터 및 읍,면,동 행정복지센터 소재지에 관한 조례 일부개정조례안조례안시장2018-07-11기획행정위원회2018-07-122018-07-202018-07-20원안가결2018-07-262018-07-262018-07-26원안가결773
의안번호건명의안종류발의자(제출자)발의일(제출일)소관위원회 위원회소관위원회회부일소관위원회상정일소관위원회처리일소관위원회처리결과본회의보고일본회의상정일본회의처리일본회의처리결과회기별대수별
813818창원시 시내버스 준공영제 운영 조례안조례안시장2021-08-31건설해양농림위원회2021-09-012021-09-092021-09-09수정가결2021-09-152021-09-152021-09-15수정가결1073
814819공공 법률 서비스 플랫폼 설립 및 공급 촉구 결의안건의(결의)안의원2021-08-31<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
815820공공의료 강화 및 보건의료인력 확충 촉구 건의안건의(결의)안의원2021-08-31<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
816821명절 농축수산물 선물 가액 상향 법제화 촉구 건의안건의(결의)안의원2021-08-31<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
817822지방자치법 관계법령 개정 촉구 건의안건의(결의)안의원2021-08-31<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
818823시장 및 관계공무원 출석요구의 건동의(승인)안의원2021-09-02<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
819824제107회 창원시의회(임시회) 회기결정의 건동의(승인)안의장2021-09-06<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
820825예산결산특별위원회 구성의 건동의(승인)안의장2021-09-06<NA><NA><NA><NA><NA>2021-09-062021-09-062021-09-06원안가결1073
821826웅동지구 복합관광레저단지 주변 마을 깔따구 피해 해결 촉구 건의안건의(결의)안의원2021-09-09<NA><NA><NA><NA><NA>2021-09-152021-09-152021-09-15원안가결1073
822827칠서정수장 인근 폐기물처분시설 설치 반대 결의안건의(결의)안의원2021-09-09<NA><NA><NA><NA><NA>2021-09-152021-09-152021-09-15원안가결1073