Overview

Dataset statistics

Number of variables15
Number of observations1380
Missing cells3634
Missing cells (%)17.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory165.9 KiB
Average record size in memory123.1 B

Variable types

Text3
DateTime7
Numeric1
Categorical2
Unsupported2

Dataset

Description충청남도 공주시 지방의회 의안정보에 대한 데이터로 (의안번호, 의안명, 제안일자, 제안회기, 제안자, 소관위원회 회부일, 상정일, 의결일, 처리결과, 본회의 상정일 의결일 처리결과 집행부이송일, 공포번호, 공포일자) 등의 항목을 제공합니다,
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=422&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037941

Alerts

(소관위위원회) 처리결과 is highly overall correlated with (본회의) 처리결과High correlation
(본회의) 처리결과 is highly overall correlated with (소관위위원회) 처리결과High correlation
(소관위위원회) 처리결과 is highly imbalanced (54.2%)Imbalance
(본회의) 처리결과 is highly imbalanced (68.2%)Imbalance
제안회기 has 58 (4.2%) missing valuesMissing
(소관위위원회) 회부일 has 159 (11.5%) missing valuesMissing
(소관위위원회) 상정일 has 175 (12.7%) missing valuesMissing
(소관위위원회) 의결일 has 175 (12.7%) missing valuesMissing
(본회의) 상정일 has 59 (4.3%) missing valuesMissing
(본회의) 의결일 has 59 (4.3%) missing valuesMissing
(본회의) 집행부 이송일 has 189 (13.7%) missing valuesMissing
(본회의) 공포번호 has 1380 (100.0%) missing valuesMissing
(본회의) 공포일자 has 1380 (100.0%) missing valuesMissing
(본회의) 공포번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
(본회의) 공포일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 22:10:34.768680
Analysis finished2024-01-09 22:10:36.063875
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct424
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T07:10:36.362427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length2.7362319
Min length1

Characters and Unicode

Total characters3776
Distinct characters17
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique77 ?
Unique (%)5.6%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
83 5
 
0.4%
105 5
 
0.4%
67 5
 
0.4%
199 4
 
0.3%
204 4
 
0.3%
203 4
 
0.3%
2 4
 
0.3%
201 4
 
0.3%
254 4
 
0.3%
191 4
 
0.3%
Other values (415) 1338
96.9%
2024-01-10T07:10:36.805915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 717
19.0%
2 679
18.0%
3 448
11.9%
4 274
 
7.3%
7 271
 
7.2%
5 271
 
7.2%
6 269
 
7.1%
8 267
 
7.1%
9 267
 
7.1%
0 252
 
6.7%
Other values (7) 61
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3715
98.4%
Dash Punctuation 28
 
0.7%
Lowercase Letter 20
 
0.5%
Uppercase Letter 10
 
0.3%
Other Letter 2
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 717
19.3%
2 679
18.3%
3 448
12.1%
4 274
 
7.4%
7 271
 
7.3%
5 271
 
7.3%
6 269
 
7.2%
8 267
 
7.2%
9 267
 
7.2%
0 252
 
6.8%
Lowercase Letter
ValueCountFrequency (%)
a 10
50.0%
n 10
50.0%
Other Letter
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Uppercase Letter
ValueCountFrequency (%)
J 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3744
99.2%
Latin 30
 
0.8%
Hangul 2
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 717
19.2%
2 679
18.1%
3 448
12.0%
4 274
 
7.3%
7 271
 
7.2%
5 271
 
7.2%
6 269
 
7.2%
8 267
 
7.1%
9 267
 
7.1%
0 252
 
6.7%
Other values (2) 29
 
0.8%
Latin
ValueCountFrequency (%)
J 10
33.3%
a 10
33.3%
n 10
33.3%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3774
99.9%
Hangul 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 717
19.0%
2 679
18.0%
3 448
11.9%
4 274
 
7.3%
7 271
 
7.2%
5 271
 
7.2%
6 269
 
7.1%
8 267
 
7.1%
9 267
 
7.1%
0 252
 
6.7%
Other values (5) 59
 
1.6%
Hangul
ValueCountFrequency (%)
월 1
50.0%
일 1
50.0%

의안명
Text

Distinct1139
Distinct (%)82.5%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T07:10:37.044472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length48
Mean length24.197826
Min length10

Characters and Unicode

Total characters33393
Distinct characters424
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1031 ?
Unique (%)74.7%

Sample

1st row공주시 지방재정공시 심의위원회 운영조례안
2nd row공주시 행정기구설치조례 일부개정 조례안
3rd row공주시 지방공무원 정원조례 일부개정 조례안
4th row공주시 사무위임조례 일부개정 조례안
5th row공주시 주민자치센터 설치 및 운영조례 일부개정 조례안
ValueCountFrequency (%)
공주시 758
 
10.7%
일부개정조례안 389
 
5.5%
조례 371
 
5.3%
관한 319
 
4.5%
및 316
 
4.5%
조례안 293
 
4.2%
건 113
 
1.6%
설치 113
 
1.6%
운영 92
 
1.3%
동의안 88
 
1.2%
Other values (1564) 4206
59.6%
2024-01-10T07:10:37.427684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5695
 
17.1%
조 1477
 
4.4%
례 1421
 
4.3%
안 1322
 
4.0%
시 1211
 
3.6%
공 1209
 
3.6%
주 1013
 
3.0%
정 916
 
2.7%
관 667
 
2.0%
의 619
 
1.9%
Other values (414) 17843
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26465
79.3%
Space Separator 5695
 
17.1%
Decimal Number 967
 
2.9%
Open Punctuation 99
 
0.3%
Close Punctuation 98
 
0.3%
Other Punctuation 37
 
0.1%
Uppercase Letter 22
 
0.1%
Dash Punctuation 6
 
< 0.1%
Lowercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1477
 
5.6%
례 1421
 
5.4%
안 1322
 
5.0%
시 1211
 
4.6%
공 1209
 
4.6%
주 1013
 
3.8%
정 916
 
3.5%
관 667
 
2.5%
의 619
 
2.3%
부 593
 
2.2%
Other values (382) 16017
60.5%
Decimal Number
ValueCountFrequency (%)
0 300
31.0%
2 267
27.6%
1 196
20.3%
3 40
 
4.1%
8 38
 
3.9%
9 33
 
3.4%
7 30
 
3.1%
6 27
 
2.8%
4 19
 
2.0%
5 17
 
1.8%
Uppercase Letter
ValueCountFrequency (%)
C 7
31.8%
T 5
22.7%
V 3
13.6%
I 2
 
9.1%
A 2
 
9.1%
X 1
 
4.5%
K 1
 
4.5%
F 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 10
27.0%
· 10
27.0%
, 9
24.3%
: 5
13.5%
; 1
 
2.7%
# 1
 
2.7%
& 1
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
c 2
50.0%
t 1
25.0%
v 1
25.0%
Space Separator
ValueCountFrequency (%)
5695
100.0%
Open Punctuation
ValueCountFrequency (%)
( 99
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26465
79.3%
Common 6902
 
20.7%
Latin 26
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1477
 
5.6%
례 1421
 
5.4%
안 1322
 
5.0%
시 1211
 
4.6%
공 1209
 
4.6%
주 1013
 
3.8%
정 916
 
3.5%
관 667
 
2.5%
의 619
 
2.3%
부 593
 
2.2%
Other values (382) 16017
60.5%
Common
ValueCountFrequency (%)
5695
82.5%
0 300
 
4.3%
2 267
 
3.9%
1 196
 
2.8%
( 99
 
1.4%
) 98
 
1.4%
3 40
 
0.6%
8 38
 
0.6%
9 33
 
0.5%
7 30
 
0.4%
Other values (11) 106
 
1.5%
Latin
ValueCountFrequency (%)
C 7
26.9%
T 5
19.2%
V 3
11.5%
c 2
 
7.7%
I 2
 
7.7%
A 2
 
7.7%
X 1
 
3.8%
K 1
 
3.8%
F 1
 
3.8%
t 1
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26465
79.3%
ASCII 6918
 
20.7%
None 10
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5695
82.3%
0 300
 
4.3%
2 267
 
3.9%
1 196
 
2.8%
( 99
 
1.4%
) 98
 
1.4%
3 40
 
0.6%
8 38
 
0.5%
9 33
 
0.5%
7 30
 
0.4%
Other values (21) 122
 
1.8%
Hangul
ValueCountFrequency (%)
조 1477
 
5.6%
례 1421
 
5.4%
안 1322
 
5.0%
시 1211
 
4.6%
공 1209
 
4.6%
주 1013
 
3.8%
정 916
 
3.5%
관 667
 
2.5%
의 619
 
2.3%
부 593
 
2.2%
Other values (382) 16017
60.5%
None
ValueCountFrequency (%)
· 10
100.0%

제안일자
Date

Distinct344
Distinct (%)24.9%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
Minimum2006-07-07 00:00:00
Maximum2020-07-30 00:00:00
2024-01-10T07:10:37.540038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:37.640997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Real number (ℝ)

MISSING 

Distinct114
Distinct (%)8.6%
Missing58
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean163.31997
Minimum98
Maximum220
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size12.3 KiB
2024-01-10T07:10:37.747942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum98
5-th percentile102
Q1134.25
median167
Q3195
95-th percentile213
Maximum220
Range122
Interquartile range (IQR)60.75

Descriptive statistics

Standard deviation35.945177
Coefficient of variation (CV)0.22009052
Kurtosis-1.1716764
Mean163.31997
Median Absolute Deviation (MAD)30
Skewness-0.21593855
Sum215909
Variance1292.0558
MonotonicityNot monotonic
2024-01-10T07:10:37.860324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
178 38
 
2.8%
212 37
 
2.7%
195 37
 
2.7%
203 36
 
2.6%
209 31
 
2.2%
170 26
 
1.9%
137 24
 
1.7%
208 23
 
1.7%
184 22
 
1.6%
159 21
 
1.5%
Other values (104) 1027
74.4%
(Missing) 58
 
4.2%
ValueCountFrequency (%)
98 15
1.1%
99 13
0.9%
100 8
0.6%
101 16
1.2%
102 19
1.4%
103 13
0.9%
104 6
 
0.4%
105 1
 
0.1%
106 3
 
0.2%
107 8
0.6%
ValueCountFrequency (%)
220 1
 
0.1%
219 11
 
0.8%
218 3
 
0.2%
217 3
 
0.2%
216 20
1.4%
215 18
1.3%
214 4
 
0.3%
213 10
 
0.7%
212 37
2.7%
211 21
1.5%

제안자
Text

Distinct152
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
2024-01-10T07:10:38.031883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length5
Mean length6.3318841
Min length2

Characters and Unicode

Total characters8738
Distinct characters107
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

Unique102 ?
Unique (%)7.4%

Sample

1st row자치단체장
2nd row자치단체장
3rd row자치단체장
4th row자치단체장
5th row자치단체장
ValueCountFrequency (%)
자치단체장 886
50.7%
시장 102
 
5.8%
공주 102
 
5.8%
의원 48
 
2.7%
의원박병수 35
 
2.0%
이맹석 32
 
1.8%
서승열 28
 
1.6%
이상표 25
 
1.4%
이종운 24
 
1.4%
김경수 22
 
1.3%
Other values (122) 442
25.3%
2024-01-10T07:10:38.304196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1032
11.8%
자 910
 
10.4%
단 886
 
10.1%
체 886
 
10.1%
치 886
 
10.1%
원 443
 
5.1%
의 378
 
4.3%
366
 
4.2%
이 207
 
2.4%
, 169
 
1.9%
Other values (97) 2575
29.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8183
93.6%
Space Separator 366
 
4.2%
Other Punctuation 169
 
1.9%
Decimal Number 20
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1032
12.6%
자 910
11.1%
단 886
 
10.8%
체 886
 
10.8%
치 886
 
10.8%
원 443
 
5.4%
의 378
 
4.6%
이 207
 
2.5%
박 167
 
2.0%
영 130
 
1.6%
Other values (87) 2258
27.6%
Decimal Number
ValueCountFrequency (%)
7 4
20.0%
3 4
20.0%
0 3
15.0%
4 3
15.0%
6 2
10.0%
5 2
10.0%
8 1
 
5.0%
2 1
 
5.0%
Space Separator
ValueCountFrequency (%)
366
100.0%
Other Punctuation
ValueCountFrequency (%)
, 169
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8183
93.6%
Common 555
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1032
12.6%
자 910
11.1%
단 886
 
10.8%
체 886
 
10.8%
치 886
 
10.8%
원 443
 
5.4%
의 378
 
4.6%
이 207
 
2.5%
박 167
 
2.0%
영 130
 
1.6%
Other values (87) 2258
27.6%
Common
ValueCountFrequency (%)
366
65.9%
, 169
30.5%
7 4
 
0.7%
3 4
 
0.7%
0 3
 
0.5%
4 3
 
0.5%
6 2
 
0.4%
5 2
 
0.4%
8 1
 
0.2%
2 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8183
93.6%
ASCII 555
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1032
12.6%
자 910
11.1%
단 886
 
10.8%
체 886
 
10.8%
치 886
 
10.8%
원 443
 
5.4%
의 378
 
4.6%
이 207
 
2.5%
박 167
 
2.0%
영 130
 
1.6%
Other values (87) 2258
27.6%
ASCII
ValueCountFrequency (%)
366
65.9%
, 169
30.5%
7 4
 
0.7%
3 4
 
0.7%
0 3
 
0.5%
4 3
 
0.5%
6 2
 
0.4%
5 2
 
0.4%
8 1
 
0.2%
2 1
 
0.2%

(소관위위원회) 회부일
Date

MISSING 

Distinct222
Distinct (%)18.2%
Missing159
Missing (%)11.5%
Memory size10.9 KiB
Minimum2006-07-12 00:00:00
Maximum2020-07-20 00:00:00
2024-01-10T07:10:38.417877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:38.517068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회) 상정일
Date

MISSING 

Distinct283
Distinct (%)23.5%
Missing175
Missing (%)12.7%
Memory size10.9 KiB
Minimum2006-07-20 00:00:00
Maximum2020-07-30 00:00:00
2024-01-10T07:10:38.614650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:38.712238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회) 의결일
Date

MISSING 

Distinct277
Distinct (%)23.0%
Missing175
Missing (%)12.7%
Memory size10.9 KiB
Minimum2006-07-20 00:00:00
Maximum2020-07-30 00:00:00
2024-01-10T07:10:38.812785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:38.920314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(소관위위원회) 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
원안의결
828 
수정의결
200 
<NA>
174 
원안가결
98 
부결
 
22
Other values (13)
 
58

Length

Max length6
Median length4
Mean length3.9666667
Min length1

Unique

Unique6 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안의결 828
60.0%
수정의결 200
 
14.5%
<NA> 174
 
12.6%
원안가결 98
 
7.1%
부결 22
 
1.6%
원안 가결 14
 
1.0%
심사보류 13
 
0.9%
수정가결 8
 
0.6%
기타 6
 
0.4%
수정 가결 4
 
0.3%
Other values (8) 13
 
0.9%

Length

2024-01-10T07:10:39.015531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안의결 828
59.2%
수정의결 200
 
14.3%
na 174
 
12.4%
원안가결 98
 
7.0%
부결 22
 
1.6%
가결 18
 
1.3%
원안 14
 
1.0%
심사보류 13
 
0.9%
수정가결 8
 
0.6%
기타 6
 
0.4%
Other values (10) 18
 
1.3%

(본회의) 상정일
Date

MISSING 

Distinct209
Distinct (%)15.8%
Missing59
Missing (%)4.3%
Memory size10.9 KiB
Minimum2006-07-21 00:00:00
Maximum2020-07-31 00:00:00
2024-01-10T07:10:39.111187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:39.212875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의) 의결일
Date

MISSING 

Distinct210
Distinct (%)15.9%
Missing59
Missing (%)4.3%
Memory size10.9 KiB
Minimum2006-07-02 00:00:00
Maximum2020-07-31 00:00:00
2024-01-10T07:10:39.312369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:39.414560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의) 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size10.9 KiB
원안가결
1047 
수정가결
210 
<NA>
 
60
기타
 
19
원안 가결
 
19
Other values (10)
 
25

Length

Max length5
Median length4
Mean length3.9710145
Min length2

Unique

Unique4 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1047
75.9%
수정가결 210
 
15.2%
<NA> 60
 
4.3%
기타 19
 
1.4%
원안 가결 19
 
1.4%
부결 7
 
0.5%
폐기 4
 
0.3%
찬성의견 3
 
0.2%
수정 가결 3
 
0.2%
찬성 의견 2
 
0.1%
Other values (5) 6
 
0.4%

Length

2024-01-10T07:10:39.514765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1047
74.5%
수정가결 210
 
14.9%
na 60
 
4.3%
가결 22
 
1.6%
원안 21
 
1.5%
기타 19
 
1.4%
부결 7
 
0.5%
폐기 4
 
0.3%
수정 3
 
0.2%
찬성의견 3
 
0.2%
Other values (7) 10
 
0.7%

(본회의) 집행부 이송일
Date

MISSING 

Distinct151
Distinct (%)12.7%
Missing189
Missing (%)13.7%
Memory size10.9 KiB
Minimum2004-09-23 00:00:00
Maximum2020-07-31 00:00:00
2024-01-10T07:10:39.611745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:10:39.719872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

(본회의) 공포번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1380
Missing (%)100.0%
Memory size12.3 KiB

(본회의) 공포일자
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing1380
Missing (%)100.0%
Memory size12.3 KiB

Interactions

2024-01-10T07:10:35.323110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:10:39.797343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안회기(소관위위원회) 처리결과(본회의) 처리결과
제안회기1.0000.5870.318
(소관위위원회) 처리결과0.5871.0000.926
(본회의) 처리결과0.3180.9261.000
2024-01-10T07:10:39.888729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
(소관위위원회) 처리결과(본회의) 처리결과
(소관위위원회) 처리결과1.0000.697
(본회의) 처리결과0.6971.000
2024-01-10T07:10:39.973681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안회기(소관위위원회) 처리결과(본회의) 처리결과
제안회기1.0000.2890.134
(소관위위원회) 처리결과0.2891.0000.697
(본회의) 처리결과0.1340.6971.000

Missing values

2024-01-10T07:10:35.433253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:10:35.588433image/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.
2024-01-10T07:10:35.967877image/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) 집행부 이송일(본회의) 공포번호(본회의) 공포일자
01공주시 지방재정공시 심의위원회 운영조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
12공주시 행정기구설치조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-02원안가결2006-07-21<NA><NA>
23공주시 지방공무원 정원조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
34공주시 사무위임조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
45공주시 주민자치센터 설치 및 운영조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
56공주시 자원봉사활동 지원조례 전부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
67공주시세 조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
78공주시시세 감면조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
89공주시 계약심의위원회의 구성 운영 및 주민참여 감독대상공사 범위등에 관한 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
910공주시 지역사회복지협의체 운영등에 관한 조례 일부개정 조례안2006-07-0798자치단체장2006-07-122006-07-202006-07-20원안의결2006-07-212006-07-21원안가결2006-07-21<NA><NA>
의안번호의안명제안일자제안회기제안자(소관위위원회) 회부일(소관위위원회) 상정일(소관위위원회) 의결일(소관위위원회) 처리결과(본회의) 상정일(본회의) 의결일(본회의) 처리결과(본회의) 집행부 이송일(본회의) 공포번호(본회의) 공포일자
1370295공주시 컨텍센터 설치 및 운영 등에 관한 조례 일부개정조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1371296공주문화재단 설립 및 운영에 관한 조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1372297공주시 재난현장 통합자원봉사지원단 구성 및 운영 등에 관한 조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1373298공주시 지역사회보장협의체 운영 등에 관한 조례 일부개정조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1374299공주시 공중화장실 설치 및 관리 조례 일부개정조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1375300공주시 가축분뇨의 관리 및 이용에 관한 조례 일부개정조례안2020-07-14219공주 시장2020-07-202020-07-292020-07-29원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1376301공주시 빈집 정비 및 활용에 관한 조례안2020-07-14219공주 시장2020-07-202020-07-302020-07-30수정가결2020-07-312020-07-31수정가결2020-07-31<NA><NA>
1377302공주시 로컬푸드 공공급식 지원에 관한 조례 전부개정조례안2020-07-14219공주 시장2020-07-202020-07-302020-07-30원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1378303농산물 안전성 분석 센터 설치 동의안2020-07-14219공주 시장2020-07-202020-07-302020-07-30원안가결2020-07-312020-07-31원안가결2020-07-31<NA><NA>
1379304행정수도의 조속한 완성과 공주시와의 상생발전 촉구 결의안2020-07-30220의원 이종운 이재룡 이창선 오희숙 이상표 이맹석 박기영 서승열 김경수 정종순 임달희 박병수<NA><NA><NA><NA>2020-07-312020-07-31원안가결2020-07-31<NA><NA>