Overview

Dataset statistics

Number of variables16
Number of observations1945
Missing cells4507
Missing cells (%)14.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory243.3 KiB
Average record size in memory128.1 B

Variable types

Text6
DateTime9
Categorical1

Dataset

Description충청남도 부여군 의안정보(의안번호, 의안명, 제안일자, 제안자, 소관위원회, 의안처리결과, 공포번호, 공포일자 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=423&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037914

Alerts

데이터기준일자 has constant value ""Constant
소관위원회 회부일 has 264 (13.6%) missing valuesMissing
소관위원회 상정일 has 272 (14.0%) missing valuesMissing
소관위원회 의결일 has 272 (14.0%) missing valuesMissing
소관위원회 처리결과 has 271 (13.9%) missing valuesMissing
본회의 상정일 has 86 (4.4%) missing valuesMissing
본회의 의결일 has 86 (4.4%) missing valuesMissing
본회의 처리결과 has 87 (4.5%) missing valuesMissing
집행부 이송일 has 767 (39.4%) missing valuesMissing
공포번호 has 1204 (61.9%) missing valuesMissing
공포일자 has 1196 (61.5%) missing valuesMissing

Reproduction

Analysis started2024-01-09 19:50:52.481875
Analysis finished2024-01-09 19:50:53.534478
Duration1.05 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct1943
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2024-01-10T04:50:53.785804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4318766
Min length1

Characters and Unicode

Total characters6675
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1941 ?
Unique (%)99.8%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1363 2
 
0.1%
1732 2
 
0.1%
2112 1
 
0.1%
1535 1
 
0.1%
1503 1
 
0.1%
1502 1
 
0.1%
1501 1
 
0.1%
1500 1
 
0.1%
1499 1
 
0.1%
1498 1
 
0.1%
Other values (1933) 1933
99.4%
2024-01-10T04:50:54.198306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1441
21.6%
2 677
10.1%
6 594
8.9%
5 586
8.8%
9 585
8.8%
7 584
8.7%
0 584
8.7%
8 584
8.7%
4 534
 
8.0%
3 504
 
7.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6673
> 99.9%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1441
21.6%
2 677
10.1%
6 594
8.9%
5 586
8.8%
9 585
8.8%
7 584
8.8%
0 584
8.8%
8 584
8.8%
4 534
 
8.0%
3 504
 
7.6%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6675
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1441
21.6%
2 677
10.1%
6 594
8.9%
5 586
8.8%
9 585
8.8%
7 584
8.7%
0 584
8.7%
8 584
8.7%
4 534
 
8.0%
3 504
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1441
21.6%
2 677
10.1%
6 594
8.9%
5 586
8.8%
9 585
8.8%
7 584
8.7%
0 584
8.7%
8 584
8.7%
4 534
 
8.0%
3 504
 
7.6%

의안명
Text

Distinct1560
Distinct (%)80.2%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
2024-01-10T04:50:54.390079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length21.55527
Min length6

Characters and Unicode

Total characters41925
Distinct characters401
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1389 ?
Unique (%)71.4%

Sample

1st row'91군도및농어촌소득원도로확포장채무부담의건
2nd row'90결산검사위원선임의건
3rd row'91공유재산관리계획변경의건
4th row'91공유재산관리계획변경의건
5th row부여군수입증지조례중개정조례안
ValueCountFrequency (%)
부여군 540
 
9.4%
조례 321
 
5.6%
일부개정조례안 281
 
4.9%
및 225
 
3.9%
조례안 209
 
3.6%
관한 171
 
3.0%
운영 83
 
1.4%
설치 80
 
1.4%
전부개정조례안 60
 
1.0%
지원 52
 
0.9%
Other values (1819) 3711
64.7%
2024-01-10T04:50:54.683586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3788
 
9.0%
조 2261
 
5.4%
례 2175
 
5.2%
부 1914
 
4.6%
안 1786
 
4.3%
군 1426
 
3.4%
여 1391
 
3.3%
정 1375
 
3.3%
개 935
 
2.2%
관 698
 
1.7%
Other values (391) 24176
57.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 35958
85.8%
Space Separator 3788
 
9.0%
Decimal Number 1742
 
4.2%
Other Punctuation 219
 
0.5%
Open Punctuation 102
 
0.2%
Close Punctuation 102
 
0.2%
Uppercase Letter 8
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2261
 
6.3%
례 2175
 
6.0%
부 1914
 
5.3%
안 1786
 
5.0%
군 1426
 
4.0%
여 1391
 
3.9%
정 1375
 
3.8%
개 935
 
2.6%
관 698
 
1.9%
의 680
 
1.9%
Other values (363) 21317
59.3%
Decimal Number
ValueCountFrequency (%)
0 462
26.5%
2 374
21.5%
9 264
15.2%
1 261
15.0%
3 82
 
4.7%
5 66
 
3.8%
7 61
 
3.5%
4 59
 
3.4%
8 57
 
3.3%
6 56
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
T 1
12.5%
V 1
12.5%
X 1
12.5%
E 1
12.5%
P 1
12.5%
O 1
12.5%
Other Punctuation
ValueCountFrequency (%)
' 172
78.5%
· 21
 
9.6%
. 16
 
7.3%
, 6
 
2.7%
: 3
 
1.4%
/ 1
 
0.5%
Space Separator
ValueCountFrequency (%)
3788
100.0%
Open Punctuation
ValueCountFrequency (%)
( 102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 102
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Other Symbol
ValueCountFrequency (%)
○ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 35958
85.8%
Common 5959
 
14.2%
Latin 8
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2261
 
6.3%
례 2175
 
6.0%
부 1914
 
5.3%
안 1786
 
5.0%
군 1426
 
4.0%
여 1391
 
3.9%
정 1375
 
3.8%
개 935
 
2.6%
관 698
 
1.9%
의 680
 
1.9%
Other values (363) 21317
59.3%
Common
ValueCountFrequency (%)
3788
63.6%
0 462
 
7.8%
2 374
 
6.3%
9 264
 
4.4%
1 261
 
4.4%
' 172
 
2.9%
( 102
 
1.7%
) 102
 
1.7%
3 82
 
1.4%
5 66
 
1.1%
Other values (11) 286
 
4.8%
Latin
ValueCountFrequency (%)
C 2
25.0%
T 1
12.5%
V 1
12.5%
X 1
12.5%
E 1
12.5%
P 1
12.5%
O 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 35957
85.8%
ASCII 5944
 
14.2%
None 21
 
0.1%
Geometric Shapes 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3788
63.7%
0 462
 
7.8%
2 374
 
6.3%
9 264
 
4.4%
1 261
 
4.4%
' 172
 
2.9%
( 102
 
1.7%
) 102
 
1.7%
3 82
 
1.4%
5 66
 
1.1%
Other values (16) 271
 
4.6%
Hangul
ValueCountFrequency (%)
조 2261
 
6.3%
례 2175
 
6.0%
부 1914
 
5.3%
안 1786
 
5.0%
군 1426
 
4.0%
여 1391
 
3.9%
정 1375
 
3.8%
개 935
 
2.6%
관 698
 
1.9%
의 680
 
1.9%
Other values (362) 21316
59.3%
None
ValueCountFrequency (%)
· 21
100.0%
Geometric Shapes
ValueCountFrequency (%)
○ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

제안일자
Date

Distinct566
Distinct (%)29.1%
Missing1
Missing (%)0.1%
Memory size15.3 KiB
Minimum1991-05-31 00:00:00
Maximum2019-06-11 00:00:00
2024-01-10T04:50:54.791830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:54.889267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안자
Text

Distinct166
Distinct (%)8.5%
Missing1
Missing (%)0.1%
Memory size15.3 KiB
2024-01-10T04:50:55.053067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length4
Mean length4.1599794
Min length2

Characters and Unicode

Total characters8087
Distinct characters115
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique113 ?
Unique (%)5.8%

Sample

1st row부여군수
2nd row부여군수
3rd row부여군수
4th row부여군수
5th row부여군수
ValueCountFrequency (%)
부여군수 1052
49.1%
군수 556
25.9%
의원 82
 
3.8%
대표발의 53
 
2.5%
의회운영위원회 34
 
1.6%
등 25
 
1.2%
유정임 18
 
0.8%
행정사무감사특별위원회 16
 
0.7%
운영위원회 14
 
0.7%
김남호 13
 
0.6%
Other values (142) 281
 
13.1%
2024-01-10T04:50:55.333373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
수 1621
20.0%
군 1616
20.0%
부 1059
13.1%
여 1059
13.1%
의 313
 
3.9%
원 295
 
3.6%
200
 
2.5%
회 137
 
1.7%
위 118
 
1.5%
인 104
 
1.3%
Other values (105) 1565
19.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7727
95.5%
Space Separator 200
 
2.5%
Decimal Number 152
 
1.9%
Other Punctuation 4
 
< 0.1%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 1621
21.0%
군 1616
20.9%
부 1059
13.7%
여 1059
13.7%
의 313
 
4.1%
원 295
 
3.8%
회 137
 
1.8%
위 118
 
1.5%
인 104
 
1.3%
정 93
 
1.2%
Other values (90) 1312
17.0%
Decimal Number
ValueCountFrequency (%)
3 41
27.0%
4 35
23.0%
5 31
20.4%
1 15
 
9.9%
2 8
 
5.3%
0 6
 
3.9%
7 5
 
3.3%
6 4
 
2.6%
9 4
 
2.6%
8 3
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 3
75.0%
/ 1
 
25.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7727
95.5%
Common 360
 
4.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 1621
21.0%
군 1616
20.9%
부 1059
13.7%
여 1059
13.7%
의 313
 
4.1%
원 295
 
3.8%
회 137
 
1.8%
위 118
 
1.5%
인 104
 
1.3%
정 93
 
1.2%
Other values (90) 1312
17.0%
Common
ValueCountFrequency (%)
200
55.6%
3 41
 
11.4%
4 35
 
9.7%
5 31
 
8.6%
1 15
 
4.2%
2 8
 
2.2%
0 6
 
1.7%
7 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
Other values (5) 11
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7727
95.5%
ASCII 360
 
4.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
수 1621
21.0%
군 1616
20.9%
부 1059
13.7%
여 1059
13.7%
의 313
 
4.1%
원 295
 
3.8%
회 137
 
1.8%
위 118
 
1.5%
인 104
 
1.3%
정 93
 
1.2%
Other values (90) 1312
17.0%
ASCII
ValueCountFrequency (%)
200
55.6%
3 41
 
11.4%
4 35
 
9.7%
5 31
 
8.6%
1 15
 
4.2%
2 8
 
2.2%
0 6
 
1.7%
7 5
 
1.4%
6 4
 
1.1%
9 4
 
1.1%
Other values (5) 11
 
3.1%

소관위원회명
Categorical

Distinct13
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
총무위원회
950 
<NA>
249 
산업건설위원회
226 
사회산업위원회
216 
각 상임위원회/예산결산특별위원회
192 
Other values (8)
112 

Length

Max length22
Median length17
Mean length6.6956298
Min length4

Unique

Unique3 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
총무위원회 950
48.8%
<NA> 249
 
12.8%
산업건설위원회 226
 
11.6%
사회산업위원회 216
 
11.1%
각 상임위원회/예산결산특별위원회 192
 
9.9%
의회운영위원회 83
 
4.3%
행정사무감사특별위원회 20
 
1.0%
총무위원회, 사회산업위원회 2
 
0.1%
조사특별위원회 2
 
0.1%
부여군아름마을조성사업행정사무조사특별위원회 2
 
0.1%
Other values (3) 3
 
0.2%

Length

2024-01-10T04:50:55.442681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
총무위원회 952
44.5%
na 249
 
11.6%
산업건설위원회 226
 
10.6%
사회산업위원회 218
 
10.2%
각 192
 
9.0%
상임위원회/예산결산특별위원회 192
 
9.0%
의회운영위원회 83
 
3.9%
행정사무감사특별위원회 20
 
0.9%
조사특별위원회 2
 
0.1%
부여군아름마을조성사업행정사무조사특별위원회 2
 
0.1%
Other values (3) 3
 
0.1%

소관위원회 회부일
Date

MISSING 

Distinct374
Distinct (%)22.2%
Missing264
Missing (%)13.6%
Memory size15.3 KiB
Minimum1992-03-16 00:00:00
Maximum2019-06-18 00:00:00
2024-01-10T04:50:55.552199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:55.866518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 상정일
Date

MISSING 

Distinct347
Distinct (%)20.7%
Missing272
Missing (%)14.0%
Memory size15.3 KiB
Minimum1992-03-16 00:00:00
Maximum2019-06-21 00:00:00
2024-01-10T04:50:55.967341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:56.070604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 의결일
Date

MISSING 

Distinct347
Distinct (%)20.7%
Missing272
Missing (%)14.0%
Memory size15.3 KiB
Minimum1992-03-16 00:00:00
Maximum2019-06-21 00:00:00
2024-01-10T04:50:56.169699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:56.269742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 처리결과
Text

MISSING 

Distinct66
Distinct (%)3.9%
Missing271
Missing (%)13.9%
Memory size15.3 KiB
2024-01-10T04:50:56.448189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length4
Mean length3.6099164
Min length2

Characters and Unicode

Total characters6043
Distinct characters79
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)2.4%

Sample

1st row보류/부결
2nd row원안가결
3rd row원안가결
4th row원안가결
5th row원안가결
ValueCountFrequency (%)
원안가결 867
50.4%
원안 442
25.7%
수정가결 123
 
7.1%
수정안 84
 
4.9%
부결 41
 
2.4%
수정안가결 16
 
0.9%
15
 
0.9%
수정 13
 
0.8%
보류 10
 
0.6%
찬성의견 8
 
0.5%
Other values (57) 102
 
5.9%
2024-01-10T04:50:56.721708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1459
24.1%
원 1349
22.3%
결 1112
18.4%
가 1060
17.5%
정 285
 
4.7%
수 284
 
4.7%
/ 66
 
1.1%
부 54
 
0.9%
47
 
0.8%
보 44
 
0.7%
Other values (69) 283
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5870
97.1%
Other Punctuation 83
 
1.4%
Space Separator 47
 
0.8%
Decimal Number 30
 
0.5%
Close Punctuation 6
 
0.1%
Open Punctuation 6
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1459
24.9%
원 1349
23.0%
결 1112
18.9%
가 1060
18.1%
정 285
 
4.9%
수 284
 
4.8%
부 54
 
0.9%
보 44
 
0.7%
의 33
 
0.6%
류 26
 
0.4%
Other values (50) 164
 
2.8%
Decimal Number
ValueCountFrequency (%)
0 9
30.0%
2 7
23.3%
1 3
 
10.0%
3 3
 
10.0%
5 3
 
10.0%
9 2
 
6.7%
4 1
 
3.3%
7 1
 
3.3%
6 1
 
3.3%
Other Punctuation
ValueCountFrequency (%)
/ 66
79.5%
. 10
 
12.0%
, 4
 
4.8%
: 3
 
3.6%
Close Punctuation
ValueCountFrequency (%)
) 5
83.3%
] 1
 
16.7%
Open Punctuation
ValueCountFrequency (%)
( 5
83.3%
[ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5870
97.1%
Common 173
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1459
24.9%
원 1349
23.0%
결 1112
18.9%
가 1060
18.1%
정 285
 
4.9%
수 284
 
4.8%
부 54
 
0.9%
보 44
 
0.7%
의 33
 
0.6%
류 26
 
0.4%
Other values (50) 164
 
2.8%
Common
ValueCountFrequency (%)
/ 66
38.2%
47
27.2%
. 10
 
5.8%
0 9
 
5.2%
2 7
 
4.0%
) 5
 
2.9%
( 5
 
2.9%
, 4
 
2.3%
1 3
 
1.7%
3 3
 
1.7%
Other values (9) 14
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5870
97.1%
ASCII 173
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1459
24.9%
원 1349
23.0%
결 1112
18.9%
가 1060
18.1%
정 285
 
4.9%
수 284
 
4.8%
부 54
 
0.9%
보 44
 
0.7%
의 33
 
0.6%
류 26
 
0.4%
Other values (50) 164
 
2.8%
ASCII
ValueCountFrequency (%)
/ 66
38.2%
47
27.2%
. 10
 
5.8%
0 9
 
5.2%
2 7
 
4.0%
) 5
 
2.9%
( 5
 
2.9%
, 4
 
2.3%
1 3
 
1.7%
3 3
 
1.7%
Other values (9) 14
 
8.1%

본회의 상정일
Date

MISSING 

Distinct306
Distinct (%)16.5%
Missing86
Missing (%)4.4%
Memory size15.3 KiB
Minimum1991-06-04 00:00:00
Maximum2019-06-24 00:00:00
2024-01-10T04:50:56.826775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:56.927543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 의결일
Date

MISSING 

Distinct306
Distinct (%)16.5%
Missing86
Missing (%)4.4%
Memory size15.3 KiB
Minimum1991-06-04 00:00:00
Maximum2019-06-24 00:00:00
2024-01-10T04:50:57.028531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:57.125156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Text

MISSING 

Distinct58
Distinct (%)3.1%
Missing87
Missing (%)4.5%
Memory size15.3 KiB
2024-01-10T04:50:57.243123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length4
Mean length3.6550054
Min length2

Characters and Unicode

Total characters6791
Distinct characters102
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)2.0%

Sample

1st row의결(승인)
2nd row선임(호선)
3rd row의결(승인)
4th row의결(승인)
5th row의결(가결)
ValueCountFrequency (%)
원안가결 954
50.8%
원안 504
26.8%
수정가결 152
 
8.1%
수정안 88
 
4.7%
의결(원안의결 35
 
1.9%
수정안가결 18
 
1.0%
원안의결 16
 
0.9%
수정의결 9
 
0.5%
찬성의견 8
 
0.4%
상임위이송/원안의결 5
 
0.3%
Other values (62) 90
 
4.8%
2024-01-10T04:50:57.464798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
안 1640
24.1%
원 1542
22.7%
결 1270
18.7%
가 1141
16.8%
수 283
 
4.2%
정 283
 
4.2%
의 148
 
2.2%
( 55
 
0.8%
) 55
 
0.8%
, 24
 
0.4%
Other values (92) 350
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6611
97.3%
Open Punctuation 55
 
0.8%
Close Punctuation 55
 
0.8%
Other Punctuation 40
 
0.6%
Space Separator 21
 
0.3%
Decimal Number 9
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 1640
24.8%
원 1542
23.3%
결 1270
19.2%
가 1141
17.3%
수 283
 
4.3%
정 283
 
4.3%
의 148
 
2.2%
부 19
 
0.3%
임 17
 
0.3%
이 15
 
0.2%
Other values (82) 253
 
3.8%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
3 3
33.3%
2 2
22.2%
0 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 24
60.0%
/ 15
37.5%
. 1
 
2.5%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Space Separator
ValueCountFrequency (%)
21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6611
97.3%
Common 180
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 1640
24.8%
원 1542
23.3%
결 1270
19.2%
가 1141
17.3%
수 283
 
4.3%
정 283
 
4.3%
의 148
 
2.2%
부 19
 
0.3%
임 17
 
0.3%
이 15
 
0.2%
Other values (82) 253
 
3.8%
Common
ValueCountFrequency (%)
( 55
30.6%
) 55
30.6%
, 24
13.3%
21
 
11.7%
/ 15
 
8.3%
1 3
 
1.7%
3 3
 
1.7%
2 2
 
1.1%
. 1
 
0.6%
0 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6611
97.3%
ASCII 180
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
안 1640
24.8%
원 1542
23.3%
결 1270
19.2%
가 1141
17.3%
수 283
 
4.3%
정 283
 
4.3%
의 148
 
2.2%
부 19
 
0.3%
임 17
 
0.3%
이 15
 
0.2%
Other values (82) 253
 
3.8%
ASCII
ValueCountFrequency (%)
( 55
30.6%
) 55
30.6%
, 24
13.3%
21
 
11.7%
/ 15
 
8.3%
1 3
 
1.7%
3 3
 
1.7%
2 2
 
1.1%
. 1
 
0.6%
0 1
 
0.6%

집행부 이송일
Date

MISSING 

Distinct215
Distinct (%)18.3%
Missing767
Missing (%)39.4%
Memory size15.3 KiB
Minimum1991-06-10 00:00:00
Maximum2014-11-05 00:00:00
2024-01-10T04:50:57.570375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:57.678918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct736
Distinct (%)99.3%
Missing1204
Missing (%)61.9%
Memory size15.3 KiB
2024-01-10T04:50:57.998363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.0512821
Min length4

Characters and Unicode

Total characters3002
Distinct characters18
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

Unique732 ?
Unique (%)98.8%

Sample

1st row1234
2nd row1235
3rd row1236
4th row1237
5th row1238
ValueCountFrequency (%)
1994-38 3
 
0.4%
1251 2
 
0.3%
1994-37 2
 
0.3%
1757 2
 
0.3%
1715 1
 
0.1%
1732 1
 
0.1%
1717 1
 
0.1%
1718 1
 
0.1%
1720 1
 
0.1%
1723 1
 
0.1%
Other values (727) 727
98.0%
2024-01-10T04:50:58.437981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 884
29.4%
4 263
 
8.8%
3 257
 
8.6%
5 256
 
8.5%
7 254
 
8.5%
6 252
 
8.4%
8 235
 
7.8%
9 224
 
7.5%
2 211
 
7.0%
0 142
 
4.7%
Other values (8) 24
 
0.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2978
99.2%
Other Letter 13
 
0.4%
Dash Punctuation 10
 
0.3%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 884
29.7%
4 263
 
8.8%
3 257
 
8.6%
5 256
 
8.6%
7 254
 
8.5%
6 252
 
8.5%
8 235
 
7.9%
9 224
 
7.5%
2 211
 
7.1%
0 142
 
4.8%
Other Letter
ValueCountFrequency (%)
호 4
30.8%
고 3
23.1%
시 3
23.1%
규 1
 
7.7%
칙 1
 
7.7%
제 1
 
7.7%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2989
99.6%
Hangul 13
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 884
29.6%
4 263
 
8.8%
3 257
 
8.6%
5 256
 
8.6%
7 254
 
8.5%
6 252
 
8.4%
8 235
 
7.9%
9 224
 
7.5%
2 211
 
7.1%
0 142
 
4.8%
Other values (2) 11
 
0.4%
Hangul
ValueCountFrequency (%)
호 4
30.8%
고 3
23.1%
시 3
23.1%
규 1
 
7.7%
칙 1
 
7.7%
제 1
 
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2989
99.6%
Hangul 13
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 884
29.6%
4 263
 
8.8%
3 257
 
8.6%
5 256
 
8.6%
7 254
 
8.5%
6 252
 
8.4%
8 235
 
7.9%
9 224
 
7.5%
2 211
 
7.1%
0 142
 
4.8%
Other values (2) 11
 
0.4%
Hangul
ValueCountFrequency (%)
호 4
30.8%
고 3
23.1%
시 3
23.1%
규 1
 
7.7%
칙 1
 
7.7%
제 1
 
7.7%

공포일자
Date

MISSING 

Distinct151
Distinct (%)20.2%
Missing1196
Missing (%)61.5%
Memory size15.3 KiB
Minimum1991-08-05 00:00:00
Maximum2011-04-04 00:00:00
2024-01-10T04:50:58.578656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:58.686901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.3 KiB
Minimum2021-09-24 00:00:00
Maximum2021-09-24 00:00:00
2024-01-10T04:50:58.766951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T04:50:58.831882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-01-10T04:50:58.880512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회명소관위원회 처리결과본회의 처리결과
소관위원회명1.0000.7960.756
소관위원회 처리결과0.7961.0000.996
본회의 처리결과0.7560.9961.000

Missing values

2024-01-10T04:50:53.121705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T04:50:53.274306image/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.
2024-01-10T04:50:53.416474image/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

의안번호의안명제안일자제안자소관위원회명소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일공포번호공포일자데이터기준일자
01'91군도및농어촌소득원도로확포장채무부담의건1991-05-31부여군수<NA><NA><NA><NA><NA>1991-06-071991-06-07의결(승인)1991-06-10<NA><NA>2021-09-24
12'90결산검사위원선임의건1991-05-31부여군수<NA><NA><NA><NA><NA>1991-06-041991-06-04선임(호선)1991-06-10<NA><NA>2021-09-24
23'91공유재산관리계획변경의건1991-05-31부여군수<NA><NA><NA><NA><NA>1991-06-071991-06-07의결(승인)1991-06-10<NA><NA>2021-09-24
34'91공유재산관리계획변경의건1991-07-24부여군수<NA><NA><NA><NA><NA>1991-07-271991-07-27의결(승인)1991-07-29<NA><NA>2021-09-24
45부여군수입증지조례중개정조례안1991-07-24부여군수<NA><NA><NA><NA><NA>1991-07-261991-07-26의결(가결)1991-07-2912341991-08-052021-09-24
56부여군공공용지에편입된사권토지에대한종합토지세불균일과세에대한조례중개정조례안1991-07-24부여군수<NA><NA><NA><NA><NA>1991-07-261991-07-26의결(가결)1991-07-2912351991-08-052021-09-24
67부여군지방세징수포상금지급조례중개정조례안1991-07-24부여군수<NA><NA><NA><NA><NA>1991-07-261991-07-26의결(가결)1991-07-2912361991-08-052021-09-24
78부여군이장자녀장학금지급조례중개정조례안1991-07-24부여군수<NA><NA><NA><NA><NA>1991-07-261991-07-26의결(원안가결)1991-07-2912371991-08-052021-09-24
8991제2회추경예산(심의)안1991-10-01부여군수<NA><NA><NA><NA><NA>1991-10-151991-10-15의결(수정의결)1991-10-15<NA><NA>2021-09-24
910정수물품취득승인요청안('91.10.14. 수정안)1991-10-01부여군수<NA><NA><NA><NA><NA>1991-10-151991-10-15의결(원안의결)1991-10-15<NA><NA>2021-09-24
의안번호의안명제안일자제안자소관위원회명소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일공포번호공포일자데이터기준일자
19352132부여군 노인 등 대중교통 이용지원에 관한 조례안2019-06-10부여군수총무위원회2019-06-112019-06-192019-06-19원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19362133부여군 주차장 조례 일부개정조례안2019-06-10부여군수총무위원회2019-06-112019-06-192019-06-19원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19372134부여군 백제역사 상상체험관 설치 및 운영조례 일부개정조례안2019-06-10부여군수총무위원회2019-06-112019-06-202019-06-20원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19382135장애등급제 개편 사항 반영을 위한 부여군 군세 감면조례 등 일괄개정조례안2019-06-10부여군수총무위원회2019-06-112019-06-192019-06-19원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19392136부여군 성별영향평가에 관한 조례안2019-06-10부여군수총무위원회2019-06-112019-06-202019-06-20원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19402137부여군 양성평등 기본 조례 전부개정조례안2019-06-10부여군수총무위원회2019-06-112019-06-202019-06-20원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19412138부여군 행정기구 및 정원 운영 조례 일부개정조례안2019-06-10부여군수총무위원회2019-06-112019-06-202019-06-20원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
19422139부여군소하천점용료및사용료징수조례 전부개정조례안2019-06-10부여군수산업건설위원회2019-06-112019-06-192019-06-19원안가결2019-06-242019-06-24원안가결<NA><NA><NA>2021-09-24
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