Overview

Dataset statistics

Number of variables10
Number of observations1363
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory106.6 KiB
Average record size in memory80.1 B

Variable types

Text5
DateTime1
Categorical4

Dataset

Description경상남도 거창군 지방의회의안정보에 대한 데이터로 의안번호, 의안명, 제안일자, 제안회기, 제안자, 소관위원회 회부일, 소관위원회 처리결과, 본회의 처리결과, 집행부 이송일자를 제공합니다.
URLhttps://www.data.go.kr/data/15038012/fileData.do

Alerts

데이터기준일 has constant value ""Constant
본회의처리결과 is highly overall correlated with 소관위위원회처리결과High correlation
소관위위원회처리결과 is highly overall correlated with 본회의처리결과High correlation
제안자 is highly imbalanced (76.2%)Imbalance
소관위위원회처리결과 is highly imbalanced (83.1%)Imbalance
본회의처리결과 is highly imbalanced (83.0%)Imbalance

Reproduction

Analysis started2023-12-12 07:35:05.166635
Analysis finished2023-12-12 07:35:05.878198
Duration0.71 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct1360
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T16:35:06.082130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.1181218
Min length8

Characters and Unicode

Total characters12428
Distinct characters13
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

Unique1357 ?
Unique (%)99.6%

Sample

1st row제2002-6호
2nd row제2002-7호
3rd row제2002-8호
4th row제2002-9호
5th row제2002-10호
ValueCountFrequency (%)
제2013-5호 2
 
0.1%
제2013-6호 2
 
0.1%
제2003-26호 2
 
0.1%
제2023-67호 1
 
0.1%
제2019-116호 1
 
0.1%
제2019-125호 1
 
0.1%
제2019-124호 1
 
0.1%
제2019-123호 1
 
0.1%
제2019-122호 1
 
0.1%
제2019-121호 1
 
0.1%
Other values (1350) 1350
99.0%
2023-12-12T16:35:06.484254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2317
18.6%
0 1819
14.6%
1 1542
12.4%
제 1363
11.0%
- 1363
11.0%
호 1363
11.0%
3 505
 
4.1%
4 395
 
3.2%
7 381
 
3.1%
5 380
 
3.1%
Other values (3) 1000
8.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8339
67.1%
Other Letter 2726
 
21.9%
Dash Punctuation 1363
 
11.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2317
27.8%
0 1819
21.8%
1 1542
18.5%
3 505
 
6.1%
4 395
 
4.7%
7 381
 
4.6%
5 380
 
4.6%
9 351
 
4.2%
6 334
 
4.0%
8 315
 
3.8%
Other Letter
ValueCountFrequency (%)
제 1363
50.0%
호 1363
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9702
78.1%
Hangul 2726
 
21.9%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2317
23.9%
0 1819
18.7%
1 1542
15.9%
- 1363
14.0%
3 505
 
5.2%
4 395
 
4.1%
7 381
 
3.9%
5 380
 
3.9%
9 351
 
3.6%
6 334
 
3.4%
Hangul
ValueCountFrequency (%)
제 1363
50.0%
호 1363
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9702
78.1%
Hangul 2726
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2317
23.9%
0 1819
18.7%
1 1542
15.9%
- 1363
14.0%
3 505
 
5.2%
4 395
 
4.1%
7 381
 
3.9%
5 380
 
3.9%
9 351
 
3.6%
6 334
 
3.4%
Hangul
ValueCountFrequency (%)
제 1363
50.0%
호 1363
50.0%

의안명
Text

Distinct1161
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T16:35:06.747819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length43
Mean length23.83639
Min length5

Characters and Unicode

Total characters32489
Distinct characters425
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1049 ?
Unique (%)77.0%

Sample

1st row거창군의회위원회조례개정조례안
2nd row거창군의회행정사무감사및조사에관한조례중개정조례안
3rd row거창군결산검사위원선임및운영에관한조례중개정조례안
4th row거창군의회회의규칙중개정규칙안
5th row거창군의회청원심사규칙중개정규칙안
ValueCountFrequency (%)
거창군 777
 
11.6%
일부개정조례안 377
 
5.6%
조례안 309
 
4.6%
및 298
 
4.4%
조례 250
 
3.7%
관한 248
 
3.7%
동의안 146
 
2.2%
민간위탁 98
 
1.5%
설치 84
 
1.2%
운영 81
 
1.2%
Other values (1475) 4056
60.3%
2023-12-12T16:35:07.232534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5404
 
16.6%
조 1592
 
4.9%
례 1504
 
4.6%
안 1324
 
4.1%
거 1110
 
3.4%
창 1101
 
3.4%
군 1012
 
3.1%
정 839
 
2.6%
개 631
 
1.9%
부 581
 
1.8%
Other values (415) 17391
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 25985
80.0%
Space Separator 5404
 
16.6%
Decimal Number 961
 
3.0%
Close Punctuation 36
 
0.1%
Open Punctuation 36
 
0.1%
Other Punctuation 30
 
0.1%
Dash Punctuation 29
 
0.1%
Uppercase Letter 4
 
< 0.1%
Math Symbol 2
 
< 0.1%
Final Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1592
 
6.1%
례 1504
 
5.8%
안 1324
 
5.1%
거 1110
 
4.3%
창 1101
 
4.2%
군 1012
 
3.9%
정 839
 
3.2%
개 631
 
2.4%
부 581
 
2.2%
관 529
 
2.0%
Other values (390) 15762
60.7%
Decimal Number
ValueCountFrequency (%)
2 342
35.6%
0 264
27.5%
1 187
19.5%
3 52
 
5.4%
4 27
 
2.8%
9 22
 
2.3%
5 20
 
2.1%
6 18
 
1.9%
7 17
 
1.8%
8 12
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 31
86.1%
』 3
 
8.3%
」 2
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 31
86.1%
『 3
 
8.3%
「 2
 
5.6%
Other Punctuation
ValueCountFrequency (%)
· 28
93.3%
& 2
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
R 2
50.0%
D 2
50.0%
Space Separator
ValueCountFrequency (%)
5404
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 25985
80.0%
Common 6500
 
20.0%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1592
 
6.1%
례 1504
 
5.8%
안 1324
 
5.1%
거 1110
 
4.3%
창 1101
 
4.2%
군 1012
 
3.9%
정 839
 
3.2%
개 631
 
2.4%
부 581
 
2.2%
관 529
 
2.0%
Other values (390) 15762
60.7%
Common
ValueCountFrequency (%)
5404
83.1%
2 342
 
5.3%
0 264
 
4.1%
1 187
 
2.9%
3 52
 
0.8%
) 31
 
0.5%
( 31
 
0.5%
- 29
 
0.4%
· 28
 
0.4%
4 27
 
0.4%
Other values (13) 105
 
1.6%
Latin
ValueCountFrequency (%)
R 2
50.0%
D 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 25973
79.9%
ASCII 6464
 
19.9%
None 38
 
0.1%
Compat Jamo 12
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5404
83.6%
2 342
 
5.3%
0 264
 
4.1%
1 187
 
2.9%
3 52
 
0.8%
) 31
 
0.5%
( 31
 
0.5%
- 29
 
0.4%
4 27
 
0.4%
9 22
 
0.3%
Other values (8) 75
 
1.2%
Hangul
ValueCountFrequency (%)
조 1592
 
6.1%
례 1504
 
5.8%
안 1324
 
5.1%
거 1110
 
4.3%
창 1101
 
4.2%
군 1012
 
3.9%
정 839
 
3.2%
개 631
 
2.4%
부 581
 
2.2%
관 529
 
2.0%
Other values (389) 15750
60.6%
None
ValueCountFrequency (%)
· 28
73.7%
』 3
 
7.9%
『 3
 
7.9%
「 2
 
5.3%
」 2
 
5.3%
Compat Jamo
ValueCountFrequency (%)
ㆍ 12
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

제안일자
Date

Distinct152
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
Minimum2002-04-07 00:00:00
Maximum2023-06-01 00:00:00
2023-12-12T16:35:07.373798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T16:35:07.529992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Text

Distinct116
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T16:35:07.870981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.9603815
Min length3

Characters and Unicode

Total characters5398
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.4%

Sample

1st row87회
2nd row87회
3rd row87회
4th row87회
5th row87회
ValueCountFrequency (%)
262회 40
 
2.9%
258회 33
 
2.4%
271회 32
 
2.3%
213회 28
 
2.1%
252회 28
 
2.1%
228회 26
 
1.9%
225회 26
 
1.9%
235회 25
 
1.8%
226회 25
 
1.8%
251회 24
 
1.8%
Other values (106) 1076
78.9%
2023-12-12T16:35:08.402457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 1363
25.3%
2 1320
24.5%
1 627
11.6%
5 333
 
6.2%
6 289
 
5.4%
7 282
 
5.2%
4 256
 
4.7%
3 253
 
4.7%
0 241
 
4.5%
9 235
 
4.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4035
74.7%
Other Letter 1363
 
25.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1320
32.7%
1 627
15.5%
5 333
 
8.3%
6 289
 
7.2%
7 282
 
7.0%
4 256
 
6.3%
3 253
 
6.3%
0 241
 
6.0%
9 235
 
5.8%
8 199
 
4.9%
Other Letter
ValueCountFrequency (%)
회 1363
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4035
74.7%
Hangul 1363
 
25.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1320
32.7%
1 627
15.5%
5 333
 
8.3%
6 289
 
7.2%
7 282
 
7.0%
4 256
 
6.3%
3 253
 
6.3%
0 241
 
6.0%
9 235
 
5.8%
8 199
 
4.9%
Hangul
ValueCountFrequency (%)
회 1363
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4035
74.7%
Hangul 1363
 
25.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 1363
100.0%
ASCII
ValueCountFrequency (%)
2 1320
32.7%
1 627
15.5%
5 333
 
8.3%
6 289
 
7.2%
7 282
 
7.0%
4 256
 
6.3%
3 253
 
6.3%
0 241
 
6.0%
9 235
 
5.8%
8 199
 
4.9%

제안자
Categorical

IMBALANCE 

Distinct39
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
집행부
1171 
의회운영위원회
 
16
의장
 
15
강철우의원
 
15
표주숙의원
 
13
Other values (34)
133 

Length

Max length11
Median length3
Mean length3.2809978
Min length2

Unique

Unique9 ?
Unique (%)0.7%

Sample

1st row최용환의원
2nd row이문행의원
3rd row이문행의원
4th row강신봉의원
5th row최용환의원

Common Values

ValueCountFrequency (%)
집행부 1171
85.9%
의회운영위원회 16
 
1.2%
의장 15
 
1.1%
강철우의원 15
 
1.1%
표주숙의원 13
 
1.0%
이성복의원 13
 
1.0%
권재경의원 10
 
0.7%
박희순의원 10
 
0.7%
심재수의원 9
 
0.7%
박수자의원 8
 
0.6%
Other values (29) 83
 
6.1%

Length

2023-12-12T16:35:08.562390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
집행부 1171
85.9%
의회운영위원회 16
 
1.2%
의장 15
 
1.1%
강철우의원 15
 
1.1%
표주숙의원 13
 
1.0%
이성복의원 13
 
1.0%
권재경의원 10
 
0.7%
박희순의원 10
 
0.7%
심재수의원 9
 
0.7%
박수자의원 8
 
0.6%
Other values (29) 83
 
6.1%

소관위위원회회부일
Text

Distinct138
Distinct (%)10.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T16:35:08.885165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9647836
Min length4

Characters and Unicode

Total characters13582
Distinct characters15
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

Unique18 ?
Unique (%)1.3%

Sample

1st row2002-04-08
2nd row2002-04-08
3rd row2002-04-08
4th row2002-04-08
5th row2002-04-08
ValueCountFrequency (%)
2022-03-10 40
 
2.9%
2021-08-24 33
 
2.4%
2023-06-02 32
 
2.3%
2015-10-27 28
 
2.1%
2017-04-07 26
 
1.9%
2017-10-26 26
 
1.9%
2017-06-08 25
 
1.8%
2018-09-21 25
 
1.8%
2015-11-27 24
 
1.8%
2022-11-29 23
 
1.7%
Other values (128) 1081
79.3%
2023-12-12T16:35:09.394312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3288
24.2%
- 2710
20.0%
2 2705
19.9%
1 2280
16.8%
3 482
 
3.5%
8 397
 
2.9%
4 392
 
2.9%
7 369
 
2.7%
9 322
 
2.4%
6 320
 
2.4%
Other values (5) 317
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10840
79.8%
Dash Punctuation 2710
 
20.0%
Other Letter 32
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3288
30.3%
2 2705
25.0%
1 2280
21.0%
3 482
 
4.4%
8 397
 
3.7%
4 392
 
3.6%
7 369
 
3.4%
9 322
 
3.0%
6 320
 
3.0%
5 285
 
2.6%
Other Letter
ValueCountFrequency (%)
해 8
25.0%
당 8
25.0%
없 8
25.0%
음 8
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2710
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13550
99.8%
Hangul 32
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3288
24.3%
- 2710
20.0%
2 2705
20.0%
1 2280
16.8%
3 482
 
3.6%
8 397
 
2.9%
4 392
 
2.9%
7 369
 
2.7%
9 322
 
2.4%
6 320
 
2.4%
Hangul
ValueCountFrequency (%)
해 8
25.0%
당 8
25.0%
없 8
25.0%
음 8
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13550
99.8%
Hangul 32
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3288
24.3%
- 2710
20.0%
2 2705
20.0%
1 2280
16.8%
3 482
 
3.6%
8 397
 
2.9%
4 392
 
2.9%
7 369
 
2.7%
9 322
 
2.4%
6 320
 
2.4%
Hangul
ValueCountFrequency (%)
해 8
25.0%
당 8
25.0%
없 8
25.0%
음 8
25.0%

소관위위원회처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
원안가결
1230 
수정가결
 
87
해당없음
 
20
찬성의견
 
8
부결
 
5
Other values (9)
 
13

Length

Max length8
Median length4
Mean length3.9933969
Min length2

Unique

Unique6 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1230
90.2%
수정가결 87
 
6.4%
해당없음 20
 
1.5%
찬성의견 8
 
0.6%
부결 5
 
0.4%
부 결 3
 
0.2%
수정의결 2
 
0.1%
철회(집행부) 2
 
0.1%
보류 1
 
0.1%
원안채택 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2023-12-12T16:35:09.581213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1230
90.0%
수정가결 87
 
6.4%
해당없음 20
 
1.5%
찬성의견 8
 
0.6%
부결 6
 
0.4%
부 3
 
0.2%
결 3
 
0.2%
수정의결 2
 
0.1%
철회(집행부 2
 
0.1%
보류 1
 
0.1%
Other values (5) 5
 
0.4%

본회의처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct14
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
원안가결
1231 
수정가결
 
87
해당없음
 
13
찬성의견
 
8
의견없음
 
7
Other values (9)
 
17

Length

Max length8
Median length4
Mean length3.9933969
Min length2

Unique

Unique5 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1231
90.3%
수정가결 87
 
6.4%
해당없음 13
 
1.0%
찬성의견 8
 
0.6%
의견없음 7
 
0.5%
부결 5
 
0.4%
부 결 3
 
0.2%
수정의결 2
 
0.1%
철회(집행부) 2
 
0.1%
보류 1
 
0.1%
Other values (4) 4
 
0.3%

Length

2023-12-12T16:35:09.736370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1231
90.1%
수정가결 87
 
6.4%
해당없음 13
 
1.0%
찬성의견 8
 
0.6%
의견없음 7
 
0.5%
부결 6
 
0.4%
부 3
 
0.2%
결 3
 
0.2%
수정의결 2
 
0.1%
철회(집행부 2
 
0.1%
Other values (5) 5
 
0.4%

집행부이송일
Text

Distinct147
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-12-12T16:35:10.051178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9075569
Min length4

Characters and Unicode

Total characters13504
Distinct characters15
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

Unique29 ?
Unique (%)2.1%

Sample

1st row2002-04-27
2nd row2002-04-27
3rd row2002-04-27
4th row2002-04-27
5th row2002-04-27
ValueCountFrequency (%)
2022-03-28 40
 
2.9%
2021-09-06 33
 
2.4%
2023-06-26 31
 
2.3%
2015-11-13 28
 
2.1%
2020-11-10 28
 
2.1%
2017-11-13 26
 
1.9%
2017-04-24 26
 
1.9%
2018-10-18 25
 
1.8%
2017-06-26 25
 
1.8%
2015-12-11 24
 
1.8%
Other values (137) 1077
79.0%
2023-12-12T16:35:10.495880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2811
20.8%
2 2768
20.5%
- 2684
19.9%
1 2522
18.7%
3 546
 
4.0%
4 492
 
3.6%
9 419
 
3.1%
6 396
 
2.9%
7 332
 
2.5%
8 247
 
1.8%
Other values (5) 287
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10736
79.5%
Dash Punctuation 2684
 
19.9%
Other Letter 84
 
0.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2811
26.2%
2 2768
25.8%
1 2522
23.5%
3 546
 
5.1%
4 492
 
4.6%
9 419
 
3.9%
6 396
 
3.7%
7 332
 
3.1%
8 247
 
2.3%
5 203
 
1.9%
Other Letter
ValueCountFrequency (%)
해 21
25.0%
당 21
25.0%
없 21
25.0%
음 21
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 2684
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 13420
99.4%
Hangul 84
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2811
20.9%
2 2768
20.6%
- 2684
20.0%
1 2522
18.8%
3 546
 
4.1%
4 492
 
3.7%
9 419
 
3.1%
6 396
 
3.0%
7 332
 
2.5%
8 247
 
1.8%
Hangul
ValueCountFrequency (%)
해 21
25.0%
당 21
25.0%
없 21
25.0%
음 21
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13420
99.4%
Hangul 84
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2811
20.9%
2 2768
20.6%
- 2684
20.0%
1 2522
18.8%
3 546
 
4.1%
4 492
 
3.7%
9 419
 
3.1%
6 396
 
3.0%
7 332
 
2.5%
8 247
 
1.8%
Hangul
ValueCountFrequency (%)
해 21
25.0%
당 21
25.0%
없 21
25.0%
음 21
25.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size10.8 KiB
2023-08-11
1363 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-11
2nd row2023-08-11
3rd row2023-08-11
4th row2023-08-11
5th row2023-08-11

Common Values

ValueCountFrequency (%)
2023-08-11 1363
100.0%

Length

2023-12-12T16:35:10.642504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:35:10.725600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-11 1363
100.0%

Correlations

2023-12-12T16:35:10.777427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안자소관위위원회처리결과본회의처리결과
제안자1.0000.6710.667
소관위위원회처리결과0.6711.0000.999
본회의처리결과0.6670.9991.000
2023-12-12T16:35:10.868805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의처리결과소관위위원회처리결과제안자
본회의처리결과1.0000.9470.259
소관위위원회처리결과0.9471.0000.261
제안자0.2590.2611.000
2023-12-12T16:35:10.971207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안자소관위위원회처리결과본회의처리결과
제안자1.0000.2610.259
소관위위원회처리결과0.2611.0000.947
본회의처리결과0.2590.9471.000

Missing values

2023-12-12T16:35:05.656556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:35:05.817320image/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.

Sample

의안번호의안명제안일자제안회기제안자소관위위원회회부일소관위위원회처리결과본회의처리결과집행부이송일데이터기준일
0제2002-6호거창군의회위원회조례개정조례안2002-04-0787회최용환의원2002-04-08원안가결원안가결2002-04-272023-08-11
1제2002-7호거창군의회행정사무감사및조사에관한조례중개정조례안2002-04-0787회이문행의원2002-04-08원안가결원안가결2002-04-272023-08-11
2제2002-8호거창군결산검사위원선임및운영에관한조례중개정조례안2002-04-0787회이문행의원2002-04-08원안가결원안가결2002-04-272023-08-11
3제2002-9호거창군의회회의규칙중개정규칙안2002-04-0787회강신봉의원2002-04-08원안가결원안가결2002-04-272023-08-11
4제2002-10호거창군의회청원심사규칙중개정규칙안2002-04-0787회최용환의원2002-04-08원안가결원안가결2002-04-272023-08-11
5제2002-11호거창군감사청구주민수에관한조례중개정조례안2002-04-0787회집행부2002-04-08원안가결원안가결2002-04-272023-08-11
6제2002-12호거창군지방공무원정원조례중개정조례안2002-04-0787회집행부2002-04-08원안가결원안가결2002-04-272023-08-11
7제2002-13호거창군이장정수조례중개정조례안2002-04-0787회집행부2002-04-08원안가결원안가결2002-04-272023-08-11
8제2002-14호거창군지방공무원복무조례중개정조례안2002-04-0787회집행부2002-04-08원안가결원안가결2002-04-272023-08-11
9제2002-15호거창군휠체어택시운영조례안2002-04-0787회집행부2002-04-08원안가결원안가결2002-04-272023-08-11
의안번호의안명제안일자제안회기제안자소관위위원회회부일소관위위원회처리결과본회의처리결과집행부이송일데이터기준일
1353제2023-78호거창군 옥외행사의 안전관리에 관한 조례 일부개정조례안2023-06-01271회집행부2023-06-02원안가결원안가결2023-06-262023-08-11
1354제2023-79호거창군 통합방위협의회 구성 및 운영 조례 일부개정조례안2023-06-01271회집행부2023-06-02원안가결원안가결2023-06-262023-08-11
1355제2023-80호거창군 일반산업단지 및 농공단지의 공공폐처리시설 운영·비용부담 조례 일부개정조례안2023-06-01271회집행부2023-06-02원안가결원안가결2023-06-262023-08-11
1356제2023-81호거창군의회 입법 및 법률 고문 운영 조례안2023-06-01271회집행부2023-06-02원안가결원안가결2023-06-262023-08-11
1357제2023-82호거창군의회 주민의견 청취를 위한 토론회 등의 운영에 관한 조례안2023-06-01271회김홍섭의원2023-06-02원안가결원안가결2023-06-262023-08-11
1358제2023-83호거창군의회 윤리특별위원회 구성 및 운영에 관한 규칙 일부개정규칙안2023-06-01271회김홍섭의원2023-06-02원안가결원안가결2023-06-262023-08-11
1359제2023-84호거창군 자치경찰사무 지원 조례안2023-06-01271회이홍희의원2023-06-02원안가결원안가결2023-06-262023-08-11
1360제2023-85호거창군 민원실의 설치 및 운영에 관한 조례안2023-06-01271회표주숙의원2023-06-02원안가결원안가결해당없음2023-08-11
1361제2023-86호2022 회계연도 예비비 지출 승인의 건2023-06-01271회집행부2023-06-02원안가결원안가결2023-06-262023-08-11
1362제2023-87호2022 회계연도 결산 승인의 건2023-06-01271회집행부2023-06-02해당없음원안가결2023-06-262023-08-11