Overview

Dataset statistics

Number of variables15
Number of observations2691
Missing cells17444
Missing cells (%)43.2%
Duplicate rows1
Duplicate rows (%)< 0.1%
Total size in memory333.9 KiB
Average record size in memory127.0 B

Variable types

Numeric3
Text2
DateTime4
Unsupported4
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
(본회의)공포일자 is highly overall correlated with (소관위위원회)처리결과High correlation
(소관위위원회)처리결과 is highly overall correlated with (본회의)공포일자High correlation
(소관위위원회)처리결과 is highly imbalanced (70.2%)Imbalance
(본회의)처리결과 is highly imbalanced (56.5%)Imbalance
제안회기 has 1919 (71.3%) missing valuesMissing
(소관위위원회)회부일 has 2691 (100.0%) missing valuesMissing
(소관위위원회)상정일 has 2691 (100.0%) missing valuesMissing
(소관위위원회)의결일 has 2095 (77.9%) missing valuesMissing
(본회의)상정일 has 2691 (100.0%) missing valuesMissing
(본회의)의결일 has 88 (3.3%) missing valuesMissing
(본회의)집행부이송일 has 534 (19.8%) missing valuesMissing
(본회의)공포번호 has 2691 (100.0%) missing valuesMissing
(본회의)공포일자 has 2038 (75.7%) missing valuesMissing
(소관위위원회)회부일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(소관위위원회)상정일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(본회의)상정일 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(본회의)공포번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 23:08:10.407660
Analysis finished2024-01-09 23:08:12.321698
Duration1.91 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
2024-01-10T08:08:12.386996image/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
2024-01-10T08:08:12.514257image/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
2024-01-10T08:08:12.730353image/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%
2024-01-10T08:08:13.115488image/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 1886
 
3.4%
정 1803
 
3.2%
논 1792
 
3.2%
회 1689
 
3.0%
의 1653
 
3.0%
Other values (411) 32807
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 1886
 
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) 28945
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 1886
 
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) 28945
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 1886
 
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) 28943
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
2024-01-10T08:08:13.246154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:13.390301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Real number (ℝ)

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
2024-01-10T08:08:13.509684image/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
2024-01-10T08:08:13.628336image/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
2024-01-10T08:08:13.804611image/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%
2024-01-10T08:08:14.193030image/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
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2691
Missing (%)100.0%
Memory size23.8 KiB

(소관위위원회)상정일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2691
Missing (%)100.0%
Memory size23.8 KiB

(소관위위원회)의결일
Date

MISSING 

Distinct89
Distinct (%)14.9%
Missing2095
Missing (%)77.9%
Memory size21.2 KiB
Minimum2014-07-07 00:00:00
Maximum2019-08-20 00:00:00
2024-01-10T08:08:14.353926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:14.502441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회)처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size21.2 KiB
기타
2024 
원안
610 
수정
 
41
의견
 
4
보류
 
4
Other values (4)
 
8

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
기타 2024
75.2%
원안 610
 
22.7%
수정 41
 
1.5%
의견 4
 
0.1%
보류 4
 
0.1%
부결 3
 
0.1%
선출 2
 
0.1%
청취 2
 
0.1%
보고 1
 
< 0.1%

Length

2024-01-10T08:08:14.892262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T08:08:14.991904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 2024
75.2%
원안 610
 
22.7%
수정 41
 
1.5%
의견 4
 
0.1%
보류 4
 
0.1%
부결 3
 
0.1%
선출 2
 
0.1%
청취 2
 
0.1%
보고 1
 
< 0.1%

(본회의)상정일
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2691
Missing (%)100.0%
Memory size23.8 KiB

(본회의)의결일
Date

MISSING 

Distinct492
Distinct (%)18.9%
Missing88
Missing (%)3.3%
Memory size21.2 KiB
Minimum1991-04-15 00:00:00
Maximum2019-07-23 00:00:00
2024-01-10T08:08:15.111182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:15.229068image/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
1297 
가결
1169 
기타
 
95
수정
 
82
의견
 
12
Other values (6)
 
36

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안 1297
48.2%
가결 1169
43.4%
기타 95
 
3.5%
수정 82
 
3.0%
의견 12
 
0.4%
청취 10
 
0.4%
선출 10
 
0.4%
승인 6
 
0.2%
부결 5
 
0.2%
철회 3
 
0.1%

Length

2024-01-10T08:08:15.340974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안 1297
48.2%
가결 1169
43.4%
기타 95
 
3.5%
수정 82
 
3.0%
의견 12
 
0.4%
청취 10
 
0.4%
선출 10
 
0.4%
승인 6
 
0.2%
부결 5
 
0.2%
철회 3
 
0.1%

(본회의)집행부이송일
Date

MISSING 

Distinct366
Distinct (%)17.0%
Missing534
Missing (%)19.8%
Memory size21.2 KiB
Minimum1991-06-12 00:00:00
Maximum2104-10-21 00:00:00
2024-01-10T08:08:15.451211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:15.580108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의)공포번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing2691
Missing (%)100.0%
Memory size23.8 KiB

(본회의)공포일자
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct7
Distinct (%)1.1%
Missing2038
Missing (%)75.7%
Infinite0
Infinite (%)0.0%
Mean1994.0138
Minimum1991
Maximum1997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size23.8 KiB
2024-01-10T08:08:15.681733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1991
Q11992
median1994
Q31996
95-th percentile1996
Maximum1997
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation1.7804649
Coefficient of variation (CV)0.000892905
Kurtosis-1.284817
Mean1994.0138
Median Absolute Deviation (MAD)2
Skewness-0.31849235
Sum1302091
Variance3.1700551
MonotonicityIncreasing
2024-01-10T08:08:15.770847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
1996 207
 
7.7%
1993 96
 
3.6%
1995 94
 
3.5%
1994 90
 
3.3%
1992 89
 
3.3%
1991 76
 
2.8%
1997 1
 
< 0.1%
(Missing) 2038
75.7%
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 1
 
< 0.1%
ValueCountFrequency (%)
1997 1
 
< 0.1%
1996 207
7.7%
1995 94
3.5%
1994 90
3.3%
1993 96
3.6%
1992 89
3.3%
1991 76
 
2.8%

Interactions

2024-01-10T08:08:11.543125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.046614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.310220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.635303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.139952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.398348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.702115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.220280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T08:08:11.477380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T08:08:15.846336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호제안회기(소관위위원회)의결일(소관위위원회)처리결과(본회의)처리결과(본회의)공포일자
의안번호1.0000.7690.9600.1810.2070.438
제안회기0.7691.0001.0000.2790.163NaN
(소관위위원회)의결일0.9601.0001.0000.8860.833NaN
(소관위위원회)처리결과0.1810.2790.8861.0000.771NaN
(본회의)처리결과0.2070.1630.8330.7711.0000.123
(본회의)공포일자0.438NaNNaNNaN0.1231.000
2024-01-10T08:08:15.948024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(본회의)처리결과(소관위위원회)처리결과
(본회의)처리결과1.0000.491
(소관위위원회)처리결과0.4911.000
2024-01-10T08:08:16.028146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호제안회기(본회의)공포일자(소관위위원회)처리결과(본회의)처리결과
의안번호1.000-0.0120.3430.0810.090
제안회기-0.0121.000NaN0.1420.083
(본회의)공포일자0.343NaN1.0001.0000.081
(소관위위원회)처리결과0.0810.1421.0001.0000.491
(본회의)처리결과0.0900.0830.0810.4911.000

Missing values

2024-01-10T08:08:11.834678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T08:08:12.079207image/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.
2024-01-10T08:08:12.246259image/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)공포번호(본회의)공포일자
01의장.부의장선거1991-04-15<NA>임시의장김오<NA><NA><NA>기타<NA>1991-04-15가결<NA><NA>1991
12제1회논산군의회임시회회기결정의건1991-04-16<NA>의장<NA><NA><NA>기타<NA>1991-04-16가결<NA><NA>1991
23의회임시회집회요구(제2회)1991-06-01<NA>송상현외9인<NA><NA><NA>기타<NA>1991-06-12가결<NA><NA>1991
34논산군수및관계공무원출석요구의건1991-06-01<NA>김영운외7인<NA><NA><NA>기타<NA>1991-06-12가결1991-06-12<NA>1991
45소정업무현황설명1991-06-05<NA>계룡출장소장<NA><NA><NA>기타<NA>1991-06-12가결<NA><NA>1991
56(부의안건제출)90결산검사위원선임대상자명단및경력1991-06-10<NA>논산군수<NA><NA><NA>기타<NA>1991-06-12가결1991-06-13<NA>1991
6791군도포장사업채무부담승인의건1991-06-10<NA>논산군수<NA><NA><NA>기타<NA>1991-06-12가결1991-06-13<NA>1991
78제2회논산군의회임시회회기결정의건1991-06-12<NA>의장<NA><NA><NA>기타<NA>1991-06-12가결<NA><NA>1991
89의회임시회집회요구(제3회)1991-07-16<NA>이태세외6인<NA><NA><NA>기타<NA>1991-07-22가결<NA><NA>1991
910남부순환도로개설에따른지방채발행승인의건1991-07-20<NA>논산군수<NA><NA><NA>기타<NA>1991-09-16가결1991-09-19<NA>1991
의안번호의안명제안일자제안회기제안자(소관위위원회)회부일(소관위위원회)상정일(소관위위원회)의결일(소관위위원회)처리결과(본회의)상정일(본회의)의결일(본회의)처리결과(본회의)집행부이송일(본회의)공포번호(본회의)공포일자
268189논산시 보호수 및 노거수 관리 조례2019-06-13204서원의원외4명<NA><NA>2019-06-20원안<NA>2019-06-28원안2019-06-28<NA><NA>
268290논산시 어린이 통학로 교통안전을 위한 조례2019-06-13204서원의원외4명<NA><NA>2019-06-13원안<NA>2019-06-28원안2019-06-28<NA><NA>
2683912019년도 제2회 추가경정예산안2019-06-13204논산시장<NA><NA>2019-06-27수정<NA>2019-06-28원안2019-06-28<NA><NA>
2684922019년도 논산시 기금운용계획 변경안2019-06-13204논산시장<NA><NA>2019-06-26원안<NA>2019-06-28원안2019-06-28<NA><NA>
2685932018년도 예비비 지출승인안2019-06-13204논산시장<NA><NA>2019-06-26원안<NA>2019-06-28원안2019-06-28<NA><NA>
268694제204회 논산시의회 제1차 정례회 회기결정의 건2019-06-13204김진호의장<NA><NA><NA>원안<NA>2019-06-20원안<NA><NA><NA>
268795관계공무원 출석요구의 건2019-06-13204조배식의원외3명<NA><NA><NA>원안<NA>2019-06-20원안<NA><NA><NA>
268896예산결산특별위원회 구성의 건2019-06-20204김진호의장<NA><NA><NA>원안<NA>2019-06-20원안<NA><NA><NA>
2689972019년도 제2회 추가경정 수정예산안2019-06-25204논산시장<NA><NA>2019-06-27수정<NA>2019-06-28수정2019-06-28<NA><NA>
269098일본 정부의 경제보복에 대한 규탄 결의안2019-07-19204조배식의원외11명<NA><NA><NA>원안<NA>2019-07-23원안<NA><NA><NA>

Duplicate rows

Most frequently occurring

의안번호의안명제안일자제안회기제안자(소관위위원회)의결일(소관위위원회)처리결과(본회의)의결일(본회의)처리결과(본회의)집행부이송일(본회의)공포일자# duplicates
012논산시세조례중개정조례안2005-04-08<NA>논산시장<NA>기타2005-04-21원안2005-04-22<NA>2