Overview

Dataset statistics

Number of variables19
Number of observations445
Missing cells573
Missing cells (%)6.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.2 KiB
Average record size in memory152.3 B

Variable types

Unsupported3
Text8
Categorical8

Dataset

Description장수군 1대~8대 의안 처리 현황(년도, 건명, 발의자, 발의일, 소관, 집행부 이송일, 공포일, 공포번호 등)에 대하여 설명
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=1&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15040018

Alerts

Unnamed: 13 is highly overall correlated with Unnamed: 11 and 4 other fieldsHigh correlation
Unnamed: 14 is highly overall correlated with Unnamed: 11 and 4 other fieldsHigh correlation
Unnamed: 12 is highly overall correlated with Unnamed: 6 and 5 other fieldsHigh correlation
Unnamed: 17 is highly overall correlated with Unnamed: 6 and 5 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with Unnamed: 12 and 4 other fieldsHigh correlation
Unnamed: 15 is highly overall correlated with Unnamed: 11 and 4 other fieldsHigh correlation
Unnamed: 4 is highly overall correlated with Unnamed: 6High correlation
Unnamed: 6 is highly overall correlated with Unnamed: 4 and 2 other fieldsHigh correlation
Unnamed: 4 is highly imbalanced (56.8%)Imbalance
Unnamed: 11 is highly imbalanced (57.7%)Imbalance
Unnamed: 15 is highly imbalanced (72.9%)Imbalance
Unnamed: 1 has 5 (1.1%) missing valuesMissing
Unnamed: 5 has 7 (1.6%) missing valuesMissing
Unnamed: 7 has 81 (18.2%) missing valuesMissing
Unnamed: 8 has 82 (18.4%) missing valuesMissing
Unnamed: 9 has 83 (18.7%) missing valuesMissing
Unnamed: 10 has 84 (18.9%) missing valuesMissing
Unnamed: 16 has 33 (7.4%) missing valuesMissing
Unnamed: 18 has 195 (43.8%) missing valuesMissing
의 안 처 리 부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 1 is an unsupported type, check if it needs cleaning or further analysisUnsupported
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 03:12:35.169421
Analysis finished2024-03-14 03:12:37.554629
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의 안 처 리 부
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.2%
Memory size3.6 KiB

Unnamed: 1
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing5
Missing (%)1.1%
Memory size3.6 KiB

Unnamed: 2
Unsupported

REJECTED  UNSUPPORTED 

Missing1
Missing (%)0.2%
Memory size3.6 KiB

Unnamed: 3
Text

Distinct360
Distinct (%)81.1%
Missing1
Missing (%)0.2%
Memory size3.6 KiB
2024-03-14T12:12:37.765972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length39
Mean length24.529279
Min length10

Characters and Unicode

Total characters10891
Distinct characters301
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique324 ?
Unique (%)73.0%

Sample

1st row건 명
2nd row2017회게년도 세입세출 결산(안)
3rd row2017년도 예비비 지출승인(안)
4th row장수군 의회기 및 의회배지 등에 관한 규칙 일부개정규칙안
5th row장수군 지방의회 의원 신분증 규칙 일부개정규칙안
ValueCountFrequency (%)
장수군 249
 
10.0%
조례 174
 
7.0%
일부개정조례안 159
 
6.4%
및 121
 
4.9%
건 85
 
3.4%
관한 67
 
2.7%
운영 60
 
2.4%
동의안 52
 
2.1%
조례안 52
 
2.1%
설치 38
 
1.5%
Other values (546) 1423
57.4%
2024-03-14T12:12:38.147545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2046
 
18.8%
조 442
 
4.1%
례 418
 
3.8%
수 418
 
3.8%
안 364
 
3.3%
장 348
 
3.2%
군 335
 
3.1%
정 285
 
2.6%
의 236
 
2.2%
부 190
 
1.7%
Other values (291) 5809
53.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8308
76.3%
Space Separator 2046
 
18.8%
Decimal Number 474
 
4.4%
Uppercase Letter 23
 
0.2%
Close Punctuation 18
 
0.2%
Open Punctuation 18
 
0.2%
Other Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 442
 
5.3%
례 418
 
5.0%
수 418
 
5.0%
안 364
 
4.4%
장 348
 
4.2%
군 335
 
4.0%
정 285
 
3.4%
의 236
 
2.8%
부 190
 
2.3%
개 184
 
2.2%
Other values (266) 5088
61.2%
Decimal Number
ValueCountFrequency (%)
2 159
33.5%
0 138
29.1%
1 78
16.5%
9 40
 
8.4%
3 22
 
4.6%
8 17
 
3.6%
4 8
 
1.7%
7 6
 
1.3%
5 4
 
0.8%
6 2
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
C 4
17.4%
J 3
13.0%
B 3
13.0%
O 3
13.0%
L 2
8.7%
P 2
8.7%
G 2
8.7%
T 2
8.7%
V 2
8.7%
Other Punctuation
ValueCountFrequency (%)
, 2
50.0%
· 1
25.0%
. 1
25.0%
Space Separator
ValueCountFrequency (%)
2046
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8308
76.3%
Common 2560
 
23.5%
Latin 23
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 442
 
5.3%
례 418
 
5.0%
수 418
 
5.0%
안 364
 
4.4%
장 348
 
4.2%
군 335
 
4.0%
정 285
 
3.4%
의 236
 
2.8%
부 190
 
2.3%
개 184
 
2.2%
Other values (266) 5088
61.2%
Common
ValueCountFrequency (%)
2046
79.9%
2 159
 
6.2%
0 138
 
5.4%
1 78
 
3.0%
9 40
 
1.6%
3 22
 
0.9%
) 18
 
0.7%
( 18
 
0.7%
8 17
 
0.7%
4 8
 
0.3%
Other values (6) 16
 
0.6%
Latin
ValueCountFrequency (%)
C 4
17.4%
J 3
13.0%
B 3
13.0%
O 3
13.0%
L 2
8.7%
P 2
8.7%
G 2
8.7%
T 2
8.7%
V 2
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8308
76.3%
ASCII 2582
 
23.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2046
79.2%
2 159
 
6.2%
0 138
 
5.3%
1 78
 
3.0%
9 40
 
1.5%
3 22
 
0.9%
) 18
 
0.7%
( 18
 
0.7%
8 17
 
0.7%
4 8
 
0.3%
Other values (14) 38
 
1.5%
Hangul
ValueCountFrequency (%)
조 442
 
5.3%
례 418
 
5.0%
수 418
 
5.0%
안 364
 
4.4%
장 348
 
4.2%
군 335
 
4.0%
정 285
 
3.4%
의 236
 
2.8%
부 190
 
2.3%
개 184
 
2.2%
Other values (266) 5088
61.2%
None
ValueCountFrequency (%)
· 1
100.0%

Unnamed: 4
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct26
Distinct (%)5.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
장수군수
317 
나금례의원외2
 
14
장정복의원외2
 
13
한국희의원외2
 
13
최화식의원외2
 
13
Other values (21)
75 

Length

Max length13
Median length4
Mean length5
Min length4

Unique

Unique8 ?
Unique (%)1.8%

Sample

1st row발의자 (제출자)
2nd row<NA>
3rd row장수군수
4th row장수군수
5th row한국희의원외2

Common Values

ValueCountFrequency (%)
장수군수 317
71.2%
나금례의원외2 14
 
3.1%
장정복의원외2 13
 
2.9%
한국희의원외2 13
 
2.9%
최화식의원외2 13
 
2.9%
유기홍의원외2 12
 
2.7%
김용문의원외2 11
 
2.5%
장정복의원 외 2 8
 
1.8%
군정주요사업실태조사 8
 
1.8%
행정사무감사 7
 
1.6%
Other values (16) 29
 
6.5%

Length

2024-03-14T12:12:38.257177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
장수군수 317
63.8%
외 25
 
5.0%
2 25
 
5.0%
나금례의원외2 14
 
2.8%
장정복의원외2 13
 
2.6%
한국희의원외2 13
 
2.6%
최화식의원외2 13
 
2.6%
유기홍의원외2 12
 
2.4%
김용문의원외2 11
 
2.2%
장정복의원 10
 
2.0%
Other values (16) 44
 
8.9%

Unnamed: 5
Text

MISSING 

Distinct129
Distinct (%)29.5%
Missing7
Missing (%)1.6%
Memory size3.6 KiB
2024-03-14T12:12:38.524635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length4.2031963
Min length3

Characters and Unicode

Total characters1841
Distinct characters19
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

Unique54 ?
Unique (%)12.3%

Sample

1st row발의일 (제출일)
2nd row7.5
3rd row7.6
4th row7.11
5th row7.11
ValueCountFrequency (%)
10.12 19
 
4.3%
11.15 16
 
3.6%
10.25 13
 
3.0%
5.28 12
 
2.7%
11.26 12
 
2.7%
3.9 12
 
2.7%
12.5 11
 
2.5%
11.14 11
 
2.5%
10.31 10
 
2.3%
11.29 9
 
2.1%
Other values (120) 314
71.5%
2024-03-14T12:12:38.883431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 515
28.0%
. 436
23.7%
2 205
 
11.1%
5 120
 
6.5%
0 115
 
6.2%
9 109
 
5.9%
3 96
 
5.2%
4 63
 
3.4%
8 62
 
3.4%
6 56
 
3.0%
Other values (9) 64
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1396
75.8%
Other Punctuation 436
 
23.7%
Other Letter 6
 
0.3%
Control 1
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 515
36.9%
2 205
 
14.7%
5 120
 
8.6%
0 115
 
8.2%
9 109
 
7.8%
3 96
 
6.9%
4 63
 
4.5%
8 62
 
4.4%
6 56
 
4.0%
7 55
 
3.9%
Other Letter
ValueCountFrequency (%)
일 2
33.3%
발 1
16.7%
의 1
16.7%
제 1
16.7%
출 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 436
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1835
99.7%
Hangul 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 515
28.1%
. 436
23.8%
2 205
 
11.2%
5 120
 
6.5%
0 115
 
6.3%
9 109
 
5.9%
3 96
 
5.2%
4 63
 
3.4%
8 62
 
3.4%
6 56
 
3.1%
Other values (4) 58
 
3.2%
Hangul
ValueCountFrequency (%)
일 2
33.3%
발 1
16.7%
의 1
16.7%
제 1
16.7%
출 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1835
99.7%
Hangul 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 515
28.1%
. 436
23.8%
2 205
 
11.2%
5 120
 
6.5%
0 115
 
6.3%
9 109
 
5.9%
3 96
 
5.2%
4 63
 
3.4%
8 62
 
3.4%
6 56
 
3.1%
Other values (4) 58
 
3.2%
Hangul
ValueCountFrequency (%)
일 2
33.3%
발 1
16.7%
의 1
16.7%
제 1
16.7%
출 1
16.7%

Unnamed: 6
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
행정복지
205 
산업건설
112 
<NA>
81 
예산결산
37 
군정주요사업실태조사
 
5
Other values (3)
 
5

Length

Max length14
Median length4
Mean length4.0988764
Min length2

Unique

Unique2 ?
Unique (%)0.4%

Sample

1st row소 관 (위원회)
2nd row<NA>
3rd row예산결산
4th row예산결산
5th row행정복지

Common Values

ValueCountFrequency (%)
행정복지 205
46.1%
산업건설 112
25.2%
<NA> 81
 
18.2%
예산결산 37
 
8.3%
군정주요사업실태조사 5
 
1.1%
행정사무감사 3
 
0.7%
소 관 (위원회) 1
 
0.2%
철회 1
 
0.2%

Length

2024-03-14T12:12:39.005791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:12:39.118286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정복지 205
45.9%
산업건설 112
25.1%
na 81
 
18.1%
예산결산 37
 
8.3%
군정주요사업실태조사 5
 
1.1%
행정사무감사 3
 
0.7%
소 1
 
0.2%
관 1
 
0.2%
위원회 1
 
0.2%
철회 1
 
0.2%

Unnamed: 7
Text

MISSING 

Distinct96
Distinct (%)26.4%
Missing81
Missing (%)18.2%
Memory size3.6 KiB
2024-03-14T12:12:39.334226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length5
Mean length4.228022
Min length3

Characters and Unicode

Total characters1539
Distinct characters17
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

Unique35 ?
Unique (%)9.6%

Sample

1st row위 원 회
2nd row회부일
3rd row10.11
4th row10.11
5th row7.12
ValueCountFrequency (%)
11.14 23
 
6.3%
10.25 19
 
5.2%
3.9 16
 
4.4%
11.15 13
 
3.6%
12.8 13
 
3.6%
12.10 11
 
3.0%
6.2 10
 
2.7%
12.4 10
 
2.7%
5.20 9
 
2.5%
5.29 9
 
2.5%
Other values (88) 233
63.7%
2024-03-14T12:12:39.729711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 434
28.2%
. 362
23.5%
2 195
12.7%
0 96
 
6.2%
8 74
 
4.8%
5 73
 
4.7%
9 72
 
4.7%
4 64
 
4.2%
3 54
 
3.5%
6 44
 
2.9%
Other values (7) 71
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1149
74.7%
Other Punctuation 362
 
23.5%
Space Separator 22
 
1.4%
Other Letter 6
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 434
37.8%
2 195
17.0%
0 96
 
8.4%
8 74
 
6.4%
5 73
 
6.4%
9 72
 
6.3%
4 64
 
5.6%
3 54
 
4.7%
6 44
 
3.8%
7 43
 
3.7%
Other Letter
ValueCountFrequency (%)
회 2
33.3%
부 1
16.7%
일 1
16.7%
위 1
16.7%
원 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 362
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1533
99.6%
Hangul 6
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 434
28.3%
. 362
23.6%
2 195
12.7%
0 96
 
6.3%
8 74
 
4.8%
5 73
 
4.8%
9 72
 
4.7%
4 64
 
4.2%
3 54
 
3.5%
6 44
 
2.9%
Other values (2) 65
 
4.2%
Hangul
ValueCountFrequency (%)
회 2
33.3%
부 1
16.7%
일 1
16.7%
위 1
16.7%
원 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1533
99.6%
Hangul 6
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 434
28.3%
. 362
23.6%
2 195
12.7%
0 96
 
6.3%
8 74
 
4.8%
5 73
 
4.8%
9 72
 
4.7%
4 64
 
4.2%
3 54
 
3.5%
6 44
 
2.9%
Other values (2) 65
 
4.2%
Hangul
ValueCountFrequency (%)
회 2
33.3%
부 1
16.7%
일 1
16.7%
위 1
16.7%
원 1
16.7%

Unnamed: 8
Text

MISSING 

Distinct70
Distinct (%)19.3%
Missing82
Missing (%)18.4%
Memory size3.6 KiB
2024-03-14T12:12:39.923560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.2424242
Min length3

Characters and Unicode

Total characters1540
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)3.9%

Sample

1st row보고일
2nd row10.22
3rd row10.29
4th row7.20
5th row7.20
ValueCountFrequency (%)
11.20 37
 
10.2%
11.18 19
 
5.2%
6.3 18
 
5.0%
3.11 17
 
4.7%
10.30 16
 
4.4%
10.28 13
 
3.6%
11.6 13
 
3.6%
3.13 10
 
2.8%
12.13 10
 
2.8%
12.26 9
 
2.5%
Other values (60) 201
55.4%
2024-03-14T12:12:40.212112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 456
29.6%
. 352
22.9%
2 185
12.0%
0 124
 
8.1%
3 104
 
6.8%
8 82
 
5.3%
6 80
 
5.2%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Other values (4) 25
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1185
76.9%
Other Punctuation 352
 
22.9%
Other Letter 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 456
38.5%
2 185
15.6%
0 124
 
10.5%
3 104
 
8.8%
8 82
 
6.9%
6 80
 
6.8%
9 55
 
4.6%
7 39
 
3.3%
4 38
 
3.2%
5 22
 
1.9%
Other Letter
ValueCountFrequency (%)
보 1
33.3%
고 1
33.3%
일 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 352
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1537
99.8%
Hangul 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 456
29.7%
. 352
22.9%
2 185
12.0%
0 124
 
8.1%
3 104
 
6.8%
8 82
 
5.3%
6 80
 
5.2%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Hangul
ValueCountFrequency (%)
보 1
33.3%
고 1
33.3%
일 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1537
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 456
29.7%
. 352
22.9%
2 185
12.0%
0 124
 
8.1%
3 104
 
6.8%
8 82
 
5.3%
6 80
 
5.2%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Hangul
ValueCountFrequency (%)
보 1
33.3%
고 1
33.3%
일 1
33.3%

Unnamed: 9
Text

MISSING 

Distinct69
Distinct (%)19.1%
Missing83
Missing (%)18.7%
Memory size3.6 KiB
2024-03-14T12:12:40.389331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.2624309
Min length3

Characters and Unicode

Total characters1543
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)3.6%

Sample

1st row상정일
2nd row10.22
3rd row10.29
4th row7.20
5th row7.20
ValueCountFrequency (%)
11.20 37
 
10.2%
11.18 19
 
5.2%
6.3 18
 
5.0%
3.11 17
 
4.7%
10.30 16
 
4.4%
10.28 13
 
3.6%
11.6 13
 
3.6%
12.13 10
 
2.8%
3.13 10
 
2.8%
12.26 9
 
2.5%
Other values (59) 200
55.2%
2024-03-14T12:12:40.706565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 454
29.4%
. 358
23.2%
2 185
12.0%
0 124
 
8.0%
3 104
 
6.7%
8 82
 
5.3%
6 79
 
5.1%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Other values (4) 25
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1182
76.6%
Other Punctuation 358
 
23.2%
Other Letter 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 454
38.4%
2 185
15.7%
0 124
 
10.5%
3 104
 
8.8%
8 82
 
6.9%
6 79
 
6.7%
9 55
 
4.7%
7 39
 
3.3%
4 38
 
3.2%
5 22
 
1.9%
Other Letter
ValueCountFrequency (%)
상 1
33.3%
정 1
33.3%
일 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 358
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
99.8%
Hangul 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 454
29.5%
. 358
23.2%
2 185
12.0%
0 124
 
8.1%
3 104
 
6.8%
8 82
 
5.3%
6 79
 
5.1%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Hangul
ValueCountFrequency (%)
상 1
33.3%
정 1
33.3%
일 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 454
29.5%
. 358
23.2%
2 185
12.0%
0 124
 
8.1%
3 104
 
6.8%
8 82
 
5.3%
6 79
 
5.1%
9 55
 
3.6%
7 39
 
2.5%
4 38
 
2.5%
Hangul
ValueCountFrequency (%)
상 1
33.3%
정 1
33.3%
일 1
33.3%

Unnamed: 10
Text

MISSING 

Distinct62
Distinct (%)17.2%
Missing84
Missing (%)18.9%
Memory size3.6 KiB
2024-03-14T12:12:40.883922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length4.2742382
Min length3

Characters and Unicode

Total characters1543
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)2.2%

Sample

1st row처리일
2nd row10.26
3rd row10.29
4th row7.20
5th row7.20
ValueCountFrequency (%)
11.20 37
 
10.2%
11.18 19
 
5.3%
6.3 18
 
5.0%
3.11 17
 
4.7%
10.30 16
 
4.4%
11.6 13
 
3.6%
10.28 13
 
3.6%
12.26 9
 
2.5%
3.13 9
 
2.5%
12.13 9
 
2.5%
Other values (52) 201
55.7%
2024-03-14T12:12:41.183399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 448
29.0%
. 357
23.1%
2 193
12.5%
0 120
 
7.8%
3 101
 
6.5%
8 83
 
5.4%
6 75
 
4.9%
9 56
 
3.6%
7 45
 
2.9%
4 40
 
2.6%
Other values (4) 25
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1183
76.7%
Other Punctuation 357
 
23.1%
Other Letter 3
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 448
37.9%
2 193
16.3%
0 120
 
10.1%
3 101
 
8.5%
8 83
 
7.0%
6 75
 
6.3%
9 56
 
4.7%
7 45
 
3.8%
4 40
 
3.4%
5 22
 
1.9%
Other Letter
ValueCountFrequency (%)
처 1
33.3%
리 1
33.3%
일 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 357
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1540
99.8%
Hangul 3
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
1 448
29.1%
. 357
23.2%
2 193
12.5%
0 120
 
7.8%
3 101
 
6.6%
8 83
 
5.4%
6 75
 
4.9%
9 56
 
3.6%
7 45
 
2.9%
4 40
 
2.6%
Hangul
ValueCountFrequency (%)
처 1
33.3%
리 1
33.3%
일 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1540
99.8%
Hangul 3
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 448
29.1%
. 357
23.2%
2 193
12.5%
0 120
 
7.8%
3 101
 
6.6%
8 83
 
5.4%
6 75
 
4.9%
9 56
 
3.6%
7 45
 
2.9%
4 40
 
2.6%
Hangul
ValueCountFrequency (%)
처 1
33.3%
리 1
33.3%
일 1
33.3%

Unnamed: 11
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct9
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
원안가결
305 
<NA>
82 
수정가결
48 
부결
 
5
결 과
 
1
Other values (4)
 
4

Length

Max length6
Median length4
Mean length3.9775281
Min length2

Unique

Unique5 ?
Unique (%)1.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 305
68.5%
<NA> 82
 
18.4%
수정가결 48
 
10.8%
부결 5
 
1.1%
결 과 1
 
0.2%
보고완료 1
 
0.2%
수정안제출 1
 
0.2%
철회 1
 
0.2%
계류중 1
 
0.2%

Length

2024-03-14T12:12:41.321586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:12:41.434114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 305
68.4%
na 82
 
18.4%
수정가결 48
 
10.8%
부결 5
 
1.1%
결 1
 
0.2%
과 1
 
0.2%
보고완료 1
 
0.2%
수정안제출 1
 
0.2%
철회 1
 
0.2%
계류중 1
 
0.2%

Unnamed: 12
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
11.21
40 
9.14
 
26
11.20
 
22
6.9
 
21
8.27
 
21
Other values (44)
315 

Length

Max length17
Median length4
Mean length4.2808989
Min length3

Unique

Unique6 ?
Unique (%)1.3%

Sample

1st row본 회 의
2nd row보고일
3rd row10.30
4th row10.30
5th row7.24

Common Values

ValueCountFrequency (%)
11.21 40
 
9.0%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (39) 225
50.6%

Length

2024-03-14T12:12:41.544774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11.21 40
 
8.9%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (41) 227
50.8%

Unnamed: 13
Categorical

HIGH CORRELATION 

Distinct48
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
11.21
40 
9.14
 
26
11.20
 
22
6.9
 
21
8.27
 
21
Other values (43)
315 

Length

Max length5
Median length4
Mean length4.2516854
Min length3

Unique

Unique5 ?
Unique (%)1.1%

Sample

1st row<NA>
2nd row상정일
3rd row10.30
4th row10.30
5th row7.24

Common Values

ValueCountFrequency (%)
11.21 40
 
9.0%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (38) 225
50.6%

Length

2024-03-14T12:12:41.689232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11.21 40
 
9.0%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (38) 225
50.6%

Unnamed: 14
Categorical

HIGH CORRELATION 

Distinct49
Distinct (%)11.0%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
11.21
40 
9.14
 
26
11.20
 
22
6.9
 
21
8.27
 
21
Other values (44)
315 

Length

Max length5
Median length4
Mean length4.2516854
Min length3

Unique

Unique6 ?
Unique (%)1.3%

Sample

1st row<NA>
2nd row처리일
3rd row10.30
4th row10.30
5th row7.24

Common Values

ValueCountFrequency (%)
11.21 40
 
9.0%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (39) 225
50.6%

Length

2024-03-14T12:12:41.845731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
11.21 40
 
9.0%
9.14 26
 
5.8%
11.20 22
 
4.9%
6.9 21
 
4.7%
8.27 21
 
4.7%
12.20 20
 
4.5%
10.31 19
 
4.3%
11.4 18
 
4.0%
3.18 17
 
3.8%
11.7 16
 
3.6%
Other values (39) 225
50.6%

Unnamed: 15
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
원안가결
382 
수정가결
48 
<NA>
 
7
부결
 
5
결 과
 
1
Other values (2)
 
2

Length

Max length6
Median length4
Mean length3.9820225
Min length2

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 382
85.8%
수정가결 48
 
10.8%
<NA> 7
 
1.6%
부결 5
 
1.1%
결 과 1
 
0.2%
보고완료 1
 
0.2%
원인가결 1
 
0.2%

Length

2024-03-14T12:12:41.957297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T12:12:42.061795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 382
85.7%
수정가결 48
 
10.8%
na 7
 
1.6%
부결 5
 
1.1%
결 1
 
0.2%
과 1
 
0.2%
보고완료 1
 
0.2%
원인가결 1
 
0.2%

Unnamed: 16
Text

MISSING 

Distinct54
Distinct (%)13.1%
Missing33
Missing (%)7.4%
Memory size3.6 KiB
2024-03-14T12:12:42.225982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length4
Mean length4.2475728
Min length3

Characters and Unicode

Total characters1750
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

Unique8 ?
Unique (%)1.9%

Sample

1st row집행부 이송일
2nd row10.31
3rd row10.31
4th row7.27
5th row7.27
ValueCountFrequency (%)
9.15 26
 
6.3%
11.21 21
 
5.1%
6.9 21
 
5.1%
11.24 20
 
4.8%
12.20 20
 
4.8%
11.5 19
 
4.6%
8.29 17
 
4.1%
11.1 17
 
4.1%
3.18 17
 
4.1%
11.12 16
 
3.9%
Other values (45) 219
53.0%
2024-03-14T12:12:42.534009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 494
28.2%
. 411
23.5%
2 295
16.9%
9 98
 
5.6%
8 98
 
5.6%
4 68
 
3.9%
5 64
 
3.7%
0 60
 
3.4%
3 54
 
3.1%
6 53
 
3.0%
Other values (8) 55
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1332
76.1%
Other Punctuation 411
 
23.5%
Other Letter 6
 
0.3%
Control 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 494
37.1%
2 295
22.1%
9 98
 
7.4%
8 98
 
7.4%
4 68
 
5.1%
5 64
 
4.8%
0 60
 
4.5%
3 54
 
4.1%
6 53
 
4.0%
7 48
 
3.6%
Other Letter
ValueCountFrequency (%)
집 1
16.7%
행 1
16.7%
부 1
16.7%
이 1
16.7%
송 1
16.7%
일 1
16.7%
Other Punctuation
ValueCountFrequency (%)
. 411
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1744
99.7%
Hangul 6
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
1 494
28.3%
. 411
23.6%
2 295
16.9%
9 98
 
5.6%
8 98
 
5.6%
4 68
 
3.9%
5 64
 
3.7%
0 60
 
3.4%
3 54
 
3.1%
6 53
 
3.0%
Other values (2) 49
 
2.8%
Hangul
ValueCountFrequency (%)
집 1
16.7%
행 1
16.7%
부 1
16.7%
이 1
16.7%
송 1
16.7%
일 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1744
99.7%
Hangul 6
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 494
28.3%
. 411
23.6%
2 295
16.9%
9 98
 
5.6%
8 98
 
5.6%
4 68
 
3.9%
5 64
 
3.7%
0 60
 
3.4%
3 54
 
3.1%
6 53
 
3.0%
Other values (2) 49
 
2.8%
Hangul
ValueCountFrequency (%)
집 1
16.7%
행 1
16.7%
부 1
16.7%
이 1
16.7%
송 1
16.7%
일 1
16.7%

Unnamed: 17
Categorical

HIGH CORRELATION 

Distinct46
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Memory size3.6 KiB
<NA>
190 
4.1
 
17
6.24
 
17
12.2
 
16
12.15
 
14
Other values (41)
191 

Length

Max length5
Median length4
Mean length3.9595506
Min length3

Unique

Unique6 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 190
42.7%
4.1 17
 
3.8%
6.24 17
 
3.8%
12.2 16
 
3.6%
12.15 14
 
3.1%
9.17 14
 
3.1%
10.5 11
 
2.5%
12.3 9
 
2.0%
12.1 9
 
2.0%
12.31 9
 
2.0%
Other values (36) 139
31.2%

Length

2024-03-14T12:12:42.656169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 190
42.7%
4.1 17
 
3.8%
6.24 17
 
3.8%
12.2 16
 
3.6%
12.15 14
 
3.1%
9.17 14
 
3.1%
10.5 11
 
2.5%
12.3 9
 
2.0%
12.1 9
 
2.0%
12.31 9
 
2.0%
Other values (36) 139
31.2%

Unnamed: 18
Text

MISSING 

Distinct236
Distinct (%)94.4%
Missing195
Missing (%)43.8%
Memory size3.6 KiB
2024-03-14T12:12:42.988379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length4
Mean length4.372
Min length4

Characters and Unicode

Total characters1093
Distinct characters21
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

Unique224 ?
Unique (%)89.6%

Sample

1st row공포번호
2nd row2283
3rd row2284
4th row2285
5th row2286
ValueCountFrequency (%)
2019-132 3
 
1.2%
2020-80 3
 
1.2%
2018-82 2
 
0.8%
2019-84 2
 
0.8%
2020-156 2
 
0.8%
2299 2
 
0.8%
2020-122 2
 
0.8%
2020-59 2
 
0.8%
2332 2
 
0.8%
2018-119 2
 
0.8%
Other values (226) 228
91.2%
2024-03-14T12:12:43.467158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 323
29.6%
4 148
13.5%
3 147
13.4%
0 89
 
8.1%
1 86
 
7.9%
9 66
 
6.0%
8 63
 
5.8%
5 57
 
5.2%
7 41
 
3.8%
6 38
 
3.5%
Other values (11) 35
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1058
96.8%
Dash Punctuation 25
 
2.3%
Other Letter 9
 
0.8%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 323
30.5%
4 148
14.0%
3 147
13.9%
0 89
 
8.4%
1 86
 
8.1%
9 66
 
6.2%
8 63
 
6.0%
5 57
 
5.4%
7 41
 
3.9%
6 38
 
3.6%
Other Letter
ValueCountFrequency (%)
수 1
11.1%
정 1
11.1%
안 1
11.1%
제 1
11.1%
출 1
11.1%
공 1
11.1%
포 1
11.1%
번 1
11.1%
호 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1084
99.2%
Hangul 9
 
0.8%

Most frequent character per script

Common
ValueCountFrequency (%)
2 323
29.8%
4 148
13.7%
3 147
13.6%
0 89
 
8.2%
1 86
 
7.9%
9 66
 
6.1%
8 63
 
5.8%
5 57
 
5.3%
7 41
 
3.8%
6 38
 
3.5%
Other values (2) 26
 
2.4%
Hangul
ValueCountFrequency (%)
수 1
11.1%
정 1
11.1%
안 1
11.1%
제 1
11.1%
출 1
11.1%
공 1
11.1%
포 1
11.1%
번 1
11.1%
호 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1084
99.2%
Hangul 9
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 323
29.8%
4 148
13.7%
3 147
13.6%
0 89
 
8.2%
1 86
 
7.9%
9 66
 
6.1%
8 63
 
5.8%
5 57
 
5.3%
7 41
 
3.8%
6 38
 
3.5%
Other values (2) 26
 
2.4%
Hangul
ValueCountFrequency (%)
수 1
11.1%
정 1
11.1%
안 1
11.1%
제 1
11.1%
출 1
11.1%
공 1
11.1%
포 1
11.1%
번 1
11.1%
호 1
11.1%

Correlations

2024-03-14T12:12:43.564919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17
Unnamed: 41.0000.9110.9340.7580.7620.8010.0000.8720.8270.8250.0000.8760.775
Unnamed: 60.9111.0000.9620.8900.8890.9000.2150.8640.7200.7190.2180.9400.952
Unnamed: 70.9340.9621.0000.9980.9980.9980.6770.9980.9980.9980.8460.9980.997
Unnamed: 80.7580.8900.9981.0001.0001.0000.7740.9990.9990.9990.8640.9990.998
Unnamed: 90.7620.8890.9981.0001.0001.0000.7620.9990.9990.9990.8510.9990.998
Unnamed: 100.8010.9000.9981.0001.0001.0000.8000.9990.9990.9990.8520.9990.997
Unnamed: 110.0000.2150.6770.7740.7620.8001.0000.8530.8530.8551.0000.5310.732
Unnamed: 120.8720.8640.9980.9990.9990.9990.8531.0001.0001.0000.9200.9990.998
Unnamed: 130.8270.7200.9980.9990.9990.9990.8531.0001.0001.0000.9200.9990.999
Unnamed: 140.8250.7190.9980.9990.9990.9990.8551.0001.0001.0000.9360.9990.999
Unnamed: 150.0000.2180.8460.8640.8510.8521.0000.9200.9200.9361.0000.8620.732
Unnamed: 160.8760.9400.9980.9990.9990.9990.5310.9990.9990.9990.8621.0000.999
Unnamed: 170.7750.9520.9970.9980.9980.9970.7320.9980.9990.9990.7320.9991.000
2024-03-14T12:12:43.678535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 13Unnamed: 14Unnamed: 12Unnamed: 17Unnamed: 11Unnamed: 6Unnamed: 15
Unnamed: 41.0000.3170.3130.3660.2870.0000.6790.000
Unnamed: 130.3171.0000.9991.0000.9160.5650.4090.662
Unnamed: 140.3130.9991.0000.9990.9160.5620.4070.660
Unnamed: 120.3661.0000.9991.0000.9180.5650.5580.662
Unnamed: 170.2870.9160.9160.9181.0000.5460.7400.546
Unnamed: 110.0000.5650.5620.5650.5461.0000.1461.000
Unnamed: 60.6790.4090.4070.5580.7400.1461.0000.179
Unnamed: 150.0000.6620.6600.6620.5461.0000.1791.000
2024-03-14T12:12:43.782630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 6Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 17
Unnamed: 41.0000.6790.0000.3660.3170.3130.0000.287
Unnamed: 60.6791.0000.1460.5580.4090.4070.1790.740
Unnamed: 110.0000.1461.0000.5650.5650.5621.0000.546
Unnamed: 120.3660.5580.5651.0001.0000.9990.6620.918
Unnamed: 130.3170.4090.5651.0001.0000.9990.6620.916
Unnamed: 140.3130.4070.5620.9990.9991.0000.6600.916
Unnamed: 150.0000.1791.0000.6620.6620.6601.0000.546
Unnamed: 170.2870.7400.5460.9180.9160.9160.5461.000

Missing values

2024-03-14T12:12:36.679003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T12:12:36.862456image/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.
2024-03-14T12:12:37.360195image/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

의 안 처 리 부Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
0연도회기의안\n번호건 명발의자 (제출자)발의일 (제출일)소 관 (위원회)위 원 회<NA><NA><NA><NA>본 회 의<NA><NA><NA>집행부 이송일공포일공포번호
1NaNNaNNaN<NA><NA><NA><NA>회부일보고일상정일처리일결 과보고일상정일처리일결 과<NA><NA><NA>
2201829512017회게년도 세입세출 결산(안)장수군수7.5예산결산10.1110.2210.2210.26원안가결10.3010.3010.30원안가결10.31<NA><NA>
3201829522017년도 예비비 지출승인(안)장수군수7.6예산결산10.1110.2910.2910.29원안가결10.3010.3010.30원안가결10.31<NA><NA>
420182923장수군 의회기 및 의회배지 등에 관한 규칙 일부개정규칙안한국희의원외27.11행정복지7.127.207.207.20원안가결7.247.247.24원안가결7.27<NA><NA>
520182924장수군 지방의회 의원 신분증 규칙 일부개정규칙안최화식의원외27.11행정복지7.127.207.207.20원안가결7.247.247.24원안가결7.27<NA><NA>
620182925장수군수 및 관계공무원 출석요구의 건유기홍의원외27.13<NA><NA><NA><NA><NA><NA>7.247.247.24원안가결7.27<NA><NA>
720182936장수군 포상 조례 일부개정조례안장수군수7.20행정복지7.238.148.148.14원안가결8.278.278.27원안가결8.299.172283
820182937장수군 인구정책 추진 및 지원에 관한 조례안장수군수7.20행정복지7.238.148.148.14원안가결8.278.278.27원안가결8.299.172284
920182938장수군 중소기업육성기금 운용 관리 조례 일부개정조례안장수군수7.20산업건설7.238.148.148.14원안가결8.278.278.27원안가결8.299.172285
의 안 처 리 부Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12Unnamed: 13Unnamed: 14Unnamed: 15Unnamed: 16Unnamed: 17Unnamed: 18
43520213224342020회계연도 세입세출 결산검사위원 선임의 건한국희의원외22.9<NA><NA><NA><NA><NA><NA>2.162.162.16원안가결2.18<NA><NA>
4362021323435장수군 경관 조례 일부개정조례안장수군수3.4행정복지3.83.173.173.17원안가결4.74.74.7원안가결4.85.32502
4372021323436장수군 지역자율방재단 조직 및 운영 등에 관한 조례 일부개정조례안장수군수3.4산업건설3.83.173.173.17원안가결4.74.74.7원안가결4.85.32503
4382021323437장수군 소하천 점용료 및 사용료 징수 조례 일부개정조례안장수군수3.4산업건설3.83.173.173.17원안가결4.74.74.7원안가결4.85.32504
43920213234382021년 1차 수시분 공유재산 관리계획안장수군수3.5행정복지3.83.173.173.17원안가결4.74.74.7원안가결4.8<NA><NA>
4402021323439장수군 의안의 비용추계에 관한 조례 일부개정조례안장정복의원311행정복지3.123.173.173.17원안가결4.74.74.7원안가결4.85.32500
4412021323440장수군 보조금 지원 표지판 설치에 관한 조례안장정복의원3.11행정복지3.123.173.173.17원안가결4.74.74.7원안가결4.85.32499
4422021323441장수군 감영병 예방 및 관리에 관한 조례안한국희의원3.29행정복지3.303.313.313.31원안가결4.74.74.7원안가결4.85.32501
44320213234422021년 2차 수시분 공유재산 관리계획안장수군수3.30행정복지3.303.313.313.31원안가결4.74.74.7원안가결4.8<NA><NA>
4442021323443장수군수 및 관계공무원 출석요구의 건유기홍의원외2<NA><NA><NA><NA><NA><NA>원안가결4.74.74.7원안가결4.8<NA><NA>