Overview

Dataset statistics

Number of variables14
Number of observations2691
Missing cells5998
Missing cells (%)15.9%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory302.3 KiB
Average record size in memory115.0 B

Variable types

Numeric3
Text2
DateTime7
Categorical2

Dataset

Description충청남도 논산시의 지방의회 의안정보입니다. (의안번호, 의안명, 제안일자, 제안회기, 제안자, 소관위원회 회부일, 상정일,의결일, 처리결과, 본회의 상정일, 의결일, 처리결과, 집행부 이송일, 공포번호, 공포일자)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=387&beforeMenuCd=DOM_000000201001001000&publicdatapk=15038034

Alerts

Dataset has 1 (< 0.1%) duplicate rowsDuplicates
제안회기 is highly overall correlated with (본회의)공포일자High correlation
(본회의)공포일자 is highly overall correlated with 제안회기High correlation
(본회의)처리결과 is highly imbalanced (81.3%)Imbalance
제안회기 has 1919 (71.3%) missing valuesMissing
(소관위위원회)회부일 has 773 (28.7%) missing valuesMissing
(소관위위원회)상정일 has 773 (28.7%) missing valuesMissing
(소관위위원회)의결일 has 784 (29.1%) missing valuesMissing
(본회의)상정일 has 84 (3.1%) missing valuesMissing
(본회의)의결일 has 89 (3.3%) missing valuesMissing
(본회의)집행부이송일 has 562 (20.9%) missing valuesMissing
(본회의)공포일자 has 1008 (37.5%) missing valuesMissing

Reproduction

Analysis started2024-01-09 23:08:17.029800
Analysis finished2024-01-09 23:08:18.952418
Duration1.92 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

Distinct196
Distinct (%)7.3%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean60.510037
Minimum1
Maximum196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2024-01-10T08:08:19.016823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q128
median56
Q385
95-th percentile137
Maximum196
Range195
Interquartile range (IQR)57

Descriptive statistics

Standard deviation40.221977
Coefficient of variation (CV)0.66471579
Kurtosis0.15249231
Mean60.510037
Median Absolute Deviation (MAD)28.5
Skewness0.69788239
Sum162772
Variance1617.8074
MonotonicityNot monotonic
2024-01-10T08:08:19.156152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 26
 
1.0%
4 26
 
1.0%
5 26
 
1.0%
6 26
 
1.0%
7 26
 
1.0%
32 26
 
1.0%
11 26
 
1.0%
31 25
 
0.9%
16 25
 
0.9%
29 25
 
0.9%
Other values (186) 2433
90.4%
ValueCountFrequency (%)
1 23
0.9%
2 23
0.9%
3 26
1.0%
4 26
1.0%
5 26
1.0%
6 26
1.0%
7 26
1.0%
8 25
0.9%
9 25
0.9%
10 25
0.9%
ValueCountFrequency (%)
196 1
< 0.1%
195 1
< 0.1%
194 1
< 0.1%
193 1
< 0.1%
192 1
< 0.1%
191 1
< 0.1%
190 1
< 0.1%
189 1
< 0.1%
188 1
< 0.1%
187 1
< 0.1%

의안명
Text

Distinct2081
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
2024-01-10T08:08:19.378078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length43
Mean length20.658491
Min length4

Characters and Unicode

Total characters55592
Distinct characters421
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1886 ?
Unique (%)70.1%

Sample

1st row의장.부의장선거
2nd row제1회논산군의회임시회회기결정의건
3rd row의회임시회집회요구(제2회)
4th row논산군수및관계공무원출석요구의건
5th row소정업무현황설명
ValueCountFrequency (%)
논산시 661
 
8.7%
일부개정조례안 367
 
4.9%
조례 356
 
4.7%
및 283
 
3.7%
건 273
 
3.6%
관한 185
 
2.4%
조례안 176
 
2.3%
운영 104
 
1.4%
설치 95
 
1.3%
논산시의회 71
 
0.9%
Other values (2336) 4992
66.0%
2024-01-10T08:08:19.723940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4872
 
8.8%
산 2401
 
4.3%
조 2333
 
4.2%
례 2274
 
4.1%
시 2082
 
3.7%
안 1887
 
3.4%
정 1803
 
3.2%
논 1792
 
3.2%
회 1689
 
3.0%
의 1653
 
3.0%
Other values (411) 32806
59.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47818
86.0%
Space Separator 4872
 
8.8%
Decimal Number 2294
 
4.1%
Other Punctuation 210
 
0.4%
Open Punctuation 193
 
0.3%
Close Punctuation 191
 
0.3%
Uppercase Letter 14
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 2401
 
5.0%
조 2333
 
4.9%
례 2274
 
4.8%
시 2082
 
4.4%
안 1887
 
3.9%
정 1803
 
3.8%
논 1792
 
3.7%
회 1689
 
3.5%
의 1653
 
3.5%
관 960
 
2.0%
Other values (383) 28944
60.5%
Decimal Number
ValueCountFrequency (%)
0 533
23.2%
2 517
22.5%
1 393
17.1%
9 218
9.5%
3 145
 
6.3%
4 113
 
4.9%
6 100
 
4.4%
5 99
 
4.3%
8 93
 
4.1%
7 83
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
C 4
28.6%
T 3
21.4%
V 2
14.3%
G 1
 
7.1%
M 1
 
7.1%
B 1
 
7.1%
L 1
 
7.1%
O 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 153
72.9%
, 24
 
11.4%
· 21
 
10.0%
' 4
 
1.9%
: 4
 
1.9%
! 2
 
1.0%
" 2
 
1.0%
Space Separator
ValueCountFrequency (%)
4872
100.0%
Open Punctuation
ValueCountFrequency (%)
( 193
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 47818
86.0%
Common 7760
 
14.0%
Latin 14
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 2401
 
5.0%
조 2333
 
4.9%
례 2274
 
4.8%
시 2082
 
4.4%
안 1887
 
3.9%
정 1803
 
3.8%
논 1792
 
3.7%
회 1689
 
3.5%
의 1653
 
3.5%
관 960
 
2.0%
Other values (383) 28944
60.5%
Common
ValueCountFrequency (%)
4872
62.8%
0 533
 
6.9%
2 517
 
6.7%
1 393
 
5.1%
9 218
 
2.8%
( 193
 
2.5%
) 191
 
2.5%
. 153
 
2.0%
3 145
 
1.9%
4 113
 
1.5%
Other values (10) 432
 
5.6%
Latin
ValueCountFrequency (%)
C 4
28.6%
T 3
21.4%
V 2
14.3%
G 1
 
7.1%
M 1
 
7.1%
B 1
 
7.1%
L 1
 
7.1%
O 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 47816
86.0%
ASCII 7753
 
13.9%
None 21
 
< 0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4872
62.8%
0 533
 
6.9%
2 517
 
6.7%
1 393
 
5.1%
9 218
 
2.8%
( 193
 
2.5%
) 191
 
2.5%
. 153
 
2.0%
3 145
 
1.9%
4 113
 
1.5%
Other values (17) 425
 
5.5%
Hangul
ValueCountFrequency (%)
산 2401
 
5.0%
조 2333
 
4.9%
례 2274
 
4.8%
시 2082
 
4.4%
안 1887
 
3.9%
정 1803
 
3.8%
논 1792
 
3.7%
회 1689
 
3.5%
의 1653
 
3.5%
관 960
 
2.0%
Other values (382) 28942
60.5%
None
ValueCountFrequency (%)
· 21
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

제안일자
Date

Distinct906
Distinct (%)33.7%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
Minimum1991-04-15 00:00:00
Maximum2019-07-19 00:00:00
2024-01-10T08:08:19.846058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:19.969628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct43
Distinct (%)5.6%
Missing1919
Missing (%)71.3%
Infinite0
Infinite (%)0.0%
Mean184.53627
Minimum162
Maximum204
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2024-01-10T08:08:20.380068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum162
5-th percentile165
Q1174
median185
Q3196
95-th percentile203
Maximum204
Range42
Interquartile range (IQR)22

Descriptive statistics

Standard deviation12.163178
Coefficient of variation (CV)0.06591213
Kurtosis-1.236299
Mean184.53627
Median Absolute Deviation (MAD)11
Skewness-0.078499216
Sum142462
Variance147.94291
MonotonicityNot monotonic
2024-01-10T08:08:20.516080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
174 49
 
1.8%
175 45
 
1.7%
196 39
 
1.4%
198 37
 
1.4%
204 33
 
1.2%
193 31
 
1.2%
192 28
 
1.0%
164 24
 
0.9%
185 24
 
0.9%
183 23
 
0.9%
Other values (33) 439
 
16.3%
(Missing) 1919
71.3%
ValueCountFrequency (%)
162 7
 
0.3%
163 3
 
0.1%
164 24
0.9%
165 8
 
0.3%
166 19
0.7%
167 19
0.7%
168 14
0.5%
169 13
0.5%
170 3
 
0.1%
171 13
0.5%
ValueCountFrequency (%)
204 33
1.2%
203 17
0.6%
202 13
 
0.5%
201 20
0.7%
200 15
 
0.6%
199 6
 
0.2%
198 37
1.4%
197 22
0.8%
196 39
1.4%
195 13
 
0.5%

제안자
Text

Distinct209
Distinct (%)7.8%
Missing5
Missing (%)0.2%
Memory size21.2 KiB
2024-01-10T08:08:20.709579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length4
Mean length4.1693969
Min length2

Characters and Unicode

Total characters11199
Distinct characters151
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)4.6%

Sample

1st row임시의장김오
2nd row의장
3rd row송상현외9인
4th row김영운외7인
5th row계룡출장소장
ValueCountFrequency (%)
논산시장 1534
57.1%
의장 339
 
12.6%
논산군수 284
 
10.6%
시장 56
 
2.1%
의장임성규 22
 
0.8%
김진호의원외3명 14
 
0.5%
구본선의원외4명 12
 
0.4%
강두식의원외 12
 
0.4%
행정사무감사 10
 
0.4%
전유식의원외 9
 
0.3%
Other values (199) 394
 
14.7%
2024-01-10T08:08:21.029037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2005
17.9%
산 1826
16.3%
논 1823
16.3%
시 1595
14.2%
의 707
 
6.3%
원 372
 
3.3%
외 322
 
2.9%
군 285
 
2.5%
수 285
 
2.5%
명 139
 
1.2%
Other values (141) 1840
16.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10971
98.0%
Decimal Number 223
 
2.0%
Other Punctuation 3
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2005
18.3%
산 1826
16.6%
논 1823
16.6%
시 1595
14.5%
의 707
 
6.4%
원 372
 
3.4%
외 322
 
2.9%
군 285
 
2.6%
수 285
 
2.6%
명 139
 
1.3%
Other values (127) 1612
14.7%
Decimal Number
ValueCountFrequency (%)
4 59
26.5%
3 47
21.1%
5 39
17.5%
6 21
 
9.4%
7 16
 
7.2%
1 15
 
6.7%
9 10
 
4.5%
2 10
 
4.5%
8 5
 
2.2%
0 1
 
0.4%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10971
98.0%
Common 228
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2005
18.3%
산 1826
16.6%
논 1823
16.6%
시 1595
14.5%
의 707
 
6.4%
원 372
 
3.4%
외 322
 
2.9%
군 285
 
2.6%
수 285
 
2.6%
명 139
 
1.3%
Other values (127) 1612
14.7%
Common
ValueCountFrequency (%)
4 59
25.9%
3 47
20.6%
5 39
17.1%
6 21
 
9.2%
7 16
 
7.0%
1 15
 
6.6%
9 10
 
4.4%
2 10
 
4.4%
8 5
 
2.2%
. 2
 
0.9%
Other values (4) 4
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10971
98.0%
ASCII 228
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2005
18.3%
산 1826
16.6%
논 1823
16.6%
시 1595
14.5%
의 707
 
6.4%
원 372
 
3.4%
외 322
 
2.9%
군 285
 
2.6%
수 285
 
2.6%
명 139
 
1.3%
Other values (127) 1612
14.7%
ASCII
ValueCountFrequency (%)
4 59
25.9%
3 47
20.6%
5 39
17.1%
6 21
 
9.2%
7 16
 
7.0%
1 15
 
6.6%
9 10
 
4.4%
2 10
 
4.4%
8 5
 
2.2%
. 2
 
0.9%
Other values (4) 4
 
1.8%

(소관위위원회)회부일
Date

MISSING 

Distinct337
Distinct (%)17.6%
Missing773
Missing (%)28.7%
Memory size21.2 KiB
Minimum1991-07-11 00:00:00
Maximum2019-06-17 00:00:00
2024-01-10T08:08:21.159659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:21.290779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회)상정일
Date

MISSING 

Distinct338
Distinct (%)17.6%
Missing773
Missing (%)28.7%
Memory size21.2 KiB
Minimum1991-07-21 00:00:00
Maximum2019-06-27 00:00:00
2024-01-10T08:08:21.407879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:21.524816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회)의결일
Date

MISSING 

Distinct345
Distinct (%)18.1%
Missing784
Missing (%)29.1%
Memory size21.2 KiB
Minimum1991-07-21 00:00:00
Maximum2019-08-20 00:00:00
2024-01-10T08:08:21.644647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:21.794622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회)처리결과
Categorical

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
기타
1415 
<NA>
782 
원안
473 
수정
 
12
보류
 
3
Other values (3)
 
6

Length

Max length4
Median length2
Mean length2.5811966
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 1415
52.6%
<NA> 782
29.1%
원안 473
 
17.6%
수정 12
 
0.4%
보류 3
 
0.1%
의견 3
 
0.1%
부결 2
 
0.1%
청취 1
 
< 0.1%

Length

2024-01-10T08:08:21.921365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:08:22.025411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 1415
52.6%
na 782
29.1%
원안 473
 
17.6%
수정 12
 
0.4%
보류 3
 
0.1%
의견 3
 
0.1%
부결 2
 
0.1%
청취 1
 
< 0.1%

(본회의)상정일
Date

MISSING 

Distinct495
Distinct (%)19.0%
Missing84
Missing (%)3.1%
Memory size21.2 KiB
Minimum1991-04-15 00:00:00
Maximum2019-07-23 00:00:00
2024-01-10T08:08:22.142260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:22.262590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의)의결일
Date

MISSING 

Distinct488
Distinct (%)18.8%
Missing89
Missing (%)3.3%
Memory size21.2 KiB
Minimum1991-04-15 00:00:00
Maximum2019-07-23 00:00:00
2024-01-10T08:08:22.396326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:22.524649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의)처리결과
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
원안
2453 
수정
 
82
기타
 
66
<NA>
 
44
의견
 
12
Other values (6)
 
34

Length

Max length4
Median length2
Mean length2.0327016
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안 2453
91.2%
수정 82
 
3.0%
기타 66
 
2.5%
<NA> 44
 
1.6%
의견 12
 
0.4%
선출 10
 
0.4%
청취 8
 
0.3%
승인 6
 
0.2%
부결 5
 
0.2%
철회 3
 
0.1%

Length

2024-01-10T08:08:22.644360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안 2453
91.2%
수정 82
 
3.0%
기타 66
 
2.5%
na 44
 
1.6%
의견 12
 
0.4%
선출 10
 
0.4%
청취 8
 
0.3%
승인 6
 
0.2%
부결 5
 
0.2%
철회 3
 
0.1%

(본회의)집행부이송일
Date

MISSING 

Distinct351
Distinct (%)16.5%
Missing562
Missing (%)20.9%
Memory size21.2 KiB
Minimum1991-04-16 00:00:00
Maximum2104-10-21 00:00:00
2024-01-10T08:08:22.762312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:22.889457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의)공포일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct26
Distinct (%)1.5%
Missing1008
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean2003.3357
Minimum1991
Maximum2019
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2024-01-10T08:08:23.005736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1992
Q11995
median2001
Q32014
95-th percentile2018
Maximum2019
Range28
Interquartile range (IQR)19

Descriptive statistics

Standard deviation9.4154768
Coefficient of variation (CV)0.0046998996
Kurtosis-1.4184177
Mean2003.3357
Median Absolute Deviation (MAD)7
Skewness0.35510651
Sum3371614
Variance88.651203
MonotonicityNot monotonic
2024-01-10T08:08:23.109208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1996 207
 
7.7%
2015 114
 
4.2%
1993 96
 
3.6%
1995 94
 
3.5%
1994 90
 
3.3%
1992 89
 
3.3%
2018 87
 
3.2%
1991 76
 
2.8%
2016 68
 
2.5%
1999 66
 
2.5%
Other values (16) 696
25.9%
(Missing) 1008
37.5%
ValueCountFrequency (%)
1991 76
 
2.8%
1992 89
3.3%
1993 96
3.6%
1994 90
3.3%
1995 94
3.5%
1996 207
7.7%
1997 31
 
1.2%
1998 40
 
1.5%
1999 66
 
2.5%
2000 49
 
1.8%
ValueCountFrequency (%)
2019 57
2.1%
2018 87
3.2%
2017 54
2.0%
2016 68
2.5%
2015 114
4.2%
2014 54
2.0%
2013 65
2.4%
2012 45
 
1.7%
2008 5
 
0.2%
2007 41
 
1.5%

Interactions

2024-01-10T08:08:18.193304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:17.697436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:17.954153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:18.293408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:17.788481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:18.038596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:18.377847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:17.868300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:18.111634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:08:23.184285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호제안회기(소관위위원회)처리결과(본회의)처리결과(본회의)공포일자
의안번호1.0000.7690.1810.2290.411
제안회기0.7691.0000.1450.1650.999
(소관위위원회)처리결과0.1810.1451.0000.7390.822
(본회의)처리결과0.2290.1650.7391.0000.194
(본회의)공포일자0.4110.9990.8220.1941.000
2024-01-10T08:08:23.292948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(본회의)처리결과(소관위위원회)처리결과
(본회의)처리결과1.0000.495
(소관위위원회)처리결과0.4951.000
2024-01-10T08:08:23.391397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호제안회기(본회의)공포일자(소관위위원회)처리결과(본회의)처리결과
의안번호1.000-0.0120.1300.0920.073
제안회기-0.0121.0000.9800.0730.084
(본회의)공포일자0.1300.9801.0000.4810.103
(소관위위원회)처리결과0.0920.0730.4811.0000.495
(본회의)처리결과0.0730.0840.1030.4951.000

Missing values

2024-01-10T08:08:18.501192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:08:18.662391image/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.
2024-01-10T08:08:18.826581image/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

의안번호의안명제안일자제안회기제안자(소관위위원회)회부일(소관위위원회)상정일(소관위위원회)의결일(소관위위원회)처리결과(본회의)상정일(본회의)의결일(본회의)처리결과(본회의)집행부이송일(본회의)공포일자
01의장.부의장선거1991-04-15<NA>임시의장김오<NA><NA><NA><NA>1991-04-151991-04-15원안1991-04-161991
12제1회논산군의회임시회회기결정의건1991-04-16<NA>의장<NA><NA><NA><NA>1991-04-161991-04-16원안<NA>1991
23의회임시회집회요구(제2회)1991-06-01<NA>송상현외9인<NA><NA><NA><NA>1991-06-121991-06-12원안<NA>1991
34논산군수및관계공무원출석요구의건1991-06-01<NA>김영운외7인<NA><NA><NA><NA>1991-06-121991-06-12원안1991-06-121991
45소정업무현황설명1991-06-05<NA>계룡출장소장<NA><NA><NA><NA>1991-06-121991-06-12원안<NA>1991
56(부의안건제출)90결산검사위원선임대상자명단및경력1991-06-10<NA>논산군수<NA><NA><NA><NA>1991-06-121991-06-12원안1991-06-131991
6791군도포장사업채무부담승인의건1991-06-10<NA>논산군수<NA><NA><NA><NA>1991-06-121991-06-12원안1991-06-131991
78제2회논산군의회임시회회기결정의건1991-06-12<NA>의장<NA><NA><NA><NA>1991-06-121991-06-12원안<NA>1991
89의회임시회집회요구(제3회)1991-07-16<NA>이태세외6인<NA><NA><NA><NA>1991-07-221991-07-22원안<NA>1991
910남부순환도로개설에따른지방채발행승인의건1991-07-20<NA>논산군수1991-07-201991-09-151991-09-15기타1991-09-161991-09-16원안1991-09-191991
의안번호의안명제안일자제안회기제안자(소관위위원회)회부일(소관위위원회)상정일(소관위위원회)의결일(소관위위원회)처리결과(본회의)상정일(본회의)의결일(본회의)처리결과(본회의)집행부이송일(본회의)공포일자
268189논산시 보호수 및 노거수 관리 조례2019-06-13204서원의원외4명2019-06-172019-06-272019-06-20원안2019-06-282019-06-28원안2019-06-282019
268290논산시 어린이 통학로 교통안전을 위한 조례2019-06-13204서원의원외4명2019-06-172019-06-272019-06-13원안2019-06-282019-06-28원안2019-06-282019
2683912019년도 제2회 추가경정예산안2019-06-13204논산시장<NA><NA><NA><NA>2019-06-282019-06-28원안2019-06-28<NA>
2684922019년도 논산시 기금운용계획 변경안2019-06-13204논산시장<NA><NA><NA><NA>2019-06-282019-06-28원안2019-06-28<NA>
2685932018년도 예비비 지출승인안2019-06-13204논산시장<NA><NA><NA><NA>2019-06-282019-06-28원안2019-06-28<NA>
268694제204회 논산시의회 제1차 정례회 회기결정의 건2019-06-13204김진호의장<NA><NA><NA><NA>2019-06-202019-06-20원안<NA><NA>
268795관계공무원 출석요구의 건2019-06-13204조배식의원외3명<NA><NA><NA><NA>2019-06-202019-06-20원안<NA><NA>
268896예산결산특별위원회 구성의 건2019-06-20204김진호의장<NA><NA><NA><NA>2019-06-202019-06-20원안<NA><NA>
2689972019년도 제2회 추가경정 수정예산안2019-06-25204논산시장<NA><NA><NA><NA>2019-06-282019-06-28수정2019-06-28<NA>
269098일본 정부의 경제보복에 대한 규탄 결의안2019-07-19204조배식의원외11명<NA><NA><NA><NA>2019-07-232019-07-23원안<NA><NA>

Duplicate rows

Most frequently occurring

의안번호의안명제안일자제안회기제안자(소관위위원회)회부일(소관위위원회)상정일(소관위위원회)의결일(소관위위원회)처리결과(본회의)상정일(본회의)의결일(본회의)처리결과(본회의)집행부이송일(본회의)공포일자# duplicates
012논산시세조례중개정조례안2005-04-08<NA>논산시장2005-04-102005-04-202005-04-20기타2005-04-212005-04-21원안2005-04-2220052