Overview

Dataset statistics

Number of variables21
Number of observations3948
Missing cells20307
Missing cells (%)24.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory651.7 KiB
Average record size in memory169.0 B

Variable types

Numeric1
Text14
DateTime2
Categorical4

Dataset

Description여수시의회 각 대수별 의안처리 현황 (대수, 의안번호, 의안명, 제출(발의)자, 발의일자, 본회의보고일, 소관위원회, 위원회처리일, 본회의의결일, 공시번호, 처리결과등)자료등을 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15037880/fileData.do

Alerts

예결위결과 is highly imbalanced (94.5%)Imbalance
처리 is highly imbalanced (61.9%)Imbalance
본회의보고일 has 1483 (37.6%) missing valuesMissing
위윈회처리회부일 has 1523 (38.6%) missing valuesMissing
위윈회처리보고일 has 1947 (49.3%) missing valuesMissing
위윈회처리상정일 has 1670 (42.3%) missing valuesMissing
위윈회처리처리일 has 1719 (43.5%) missing valuesMissing
위윈회처리결과 has 1671 (42.3%) missing valuesMissing
예결위보고일 has 3843 (97.3%) missing valuesMissing
예결위처리일 has 3843 (97.3%) missing valuesMissing
본회의의결보고일 has 350 (8.9%) missing valuesMissing
본회의의결상정일 has 337 (8.5%) missing valuesMissing
본회의의결처리일 has 330 (8.4%) missing valuesMissing
본회의의결결과 has 268 (6.8%) missing valuesMissing
집행부이송일 has 1322 (33.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 10:15:43.485968
Analysis finished2023-12-12 10:15:44.756910
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

Distinct3944
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1976.3369
Minimum1
Maximum3950
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size34.8 KiB
2023-12-12T19:15:44.850286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile198.35
Q1986.75
median1979.5
Q32964.25
95-th percentile3753.65
Maximum3950
Range3949
Interquartile range (IQR)1977.5

Descriptive statistics

Standard deviation1141.2314
Coefficient of variation (CV)0.57744783
Kurtosis-1.2017727
Mean1976.3369
Median Absolute Deviation (MAD)989
Skewness-0.0012299608
Sum7802578
Variance1302409.2
MonotonicityNot monotonic
2023-12-12T19:15:45.018682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
679 2
 
0.1%
2253 2
 
0.1%
3914 2
 
0.1%
2386 2
 
0.1%
2627 1
 
< 0.1%
2628 1
 
< 0.1%
2629 1
 
< 0.1%
2630 1
 
< 0.1%
2631 1
 
< 0.1%
2632 1
 
< 0.1%
Other values (3934) 3934
99.6%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3950 1
< 0.1%
3949 1
< 0.1%
3948 1
< 0.1%
3947 1
< 0.1%
3946 1
< 0.1%
3945 1
< 0.1%
3944 1
< 0.1%
3943 1
< 0.1%
3942 1
< 0.1%
3941 1
< 0.1%

의안명
Text

Distinct3026
Distinct (%)76.6%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2023-12-12T19:15:45.367387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length83
Median length59
Mean length25.281155
Min length6

Characters and Unicode

Total characters99810
Distinct characters547
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2733 ?
Unique (%)69.2%

Sample

1st row여수시의회공인 조례안
2nd row여수시의회사무국의설치및사무직원의정수등에관한조례안
3rd row여수시의회행정사무감사및조사에관한 조례안
4th row여수시의회에출석·답변할수있는관계공무원의범위에관한조례안
5th row여수시의회의원의정활동비·회의수당및여비지급에관한조례안
ValueCountFrequency (%)
여수시 1380
 
7.0%
및 916
 
4.6%
건 907
 
4.6%
조례 875
 
4.4%
일부개정조례안 648
 
3.3%
관한 548
 
2.8%
조례안 522
 
2.6%
공유재산관리계획 290
 
1.5%
운영 257
 
1.3%
설치 198
 
1.0%
Other values (3899) 13164
66.8%
2023-12-12T19:15:45.869200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
15757
 
15.8%
시 3406
 
3.4%
조 3223
 
3.2%
례 3110
 
3.1%
수 3079
 
3.1%
안 3017
 
3.0%
의 2961
 
3.0%
여 2777
 
2.8%
정 2269
 
2.3%
회 2110
 
2.1%
Other values (537) 58101
58.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 78806
79.0%
Space Separator 15757
 
15.8%
Decimal Number 3515
 
3.5%
Close Punctuation 496
 
0.5%
Open Punctuation 494
 
0.5%
Other Punctuation 429
 
0.4%
Dash Punctuation 181
 
0.2%
Uppercase Letter 99
 
0.1%
Lowercase Letter 23
 
< 0.1%
Math Symbol 9
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 3406
 
4.3%
조 3223
 
4.1%
례 3110
 
3.9%
수 3079
 
3.9%
안 3017
 
3.8%
의 2961
 
3.8%
여 2777
 
3.5%
정 2269
 
2.9%
회 2110
 
2.7%
관 1777
 
2.3%
Other values (476) 51077
64.8%
Uppercase Letter
ValueCountFrequency (%)
S 16
16.2%
K 13
13.1%
T 11
11.1%
B 10
10.1%
G 9
9.1%
N 6
 
6.1%
U 6
 
6.1%
X 6
 
6.1%
L 5
 
5.1%
O 3
 
3.0%
Other values (9) 14
14.1%
Lowercase Letter
ValueCountFrequency (%)
e 6
26.1%
l 3
13.0%
n 3
13.0%
a 2
 
8.7%
w 1
 
4.3%
y 1
 
4.3%
g 1
 
4.3%
i 1
 
4.3%
r 1
 
4.3%
t 1
 
4.3%
Other values (3) 3
13.0%
Decimal Number
ValueCountFrequency (%)
0 1086
30.9%
2 910
25.9%
1 642
18.3%
9 175
 
5.0%
3 149
 
4.2%
5 131
 
3.7%
6 117
 
3.3%
8 117
 
3.3%
4 100
 
2.8%
7 88
 
2.5%
Close Punctuation
ValueCountFrequency (%)
) 481
97.0%
」 7
 
1.4%
］ 4
 
0.8%
』 3
 
0.6%
] 1
 
0.2%
Open Punctuation
ValueCountFrequency (%)
( 479
97.0%
「 7
 
1.4%
［ 4
 
0.8%
『 3
 
0.6%
[ 1
 
0.2%
Other Punctuation
ValueCountFrequency (%)
· 232
54.1%
. 159
37.1%
/ 35
 
8.2%
" 2
 
0.5%
& 1
 
0.2%
Space Separator
ValueCountFrequency (%)
15757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 181
100.0%
Math Symbol
ValueCountFrequency (%)
~ 9
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 78805
79.0%
Common 20882
 
20.9%
Latin 122
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 3406
 
4.3%
조 3223
 
4.1%
례 3110
 
3.9%
수 3079
 
3.9%
안 3017
 
3.8%
의 2961
 
3.8%
여 2777
 
3.5%
정 2269
 
2.9%
회 2110
 
2.7%
관 1777
 
2.3%
Other values (475) 51076
64.8%
Latin
ValueCountFrequency (%)
S 16
13.1%
K 13
 
10.7%
T 11
 
9.0%
B 10
 
8.2%
G 9
 
7.4%
N 6
 
4.9%
U 6
 
4.9%
X 6
 
4.9%
e 6
 
4.9%
L 5
 
4.1%
Other values (22) 34
27.9%
Common
ValueCountFrequency (%)
15757
75.5%
0 1086
 
5.2%
2 910
 
4.4%
1 642
 
3.1%
) 481
 
2.3%
( 479
 
2.3%
· 232
 
1.1%
- 181
 
0.9%
9 175
 
0.8%
. 159
 
0.8%
Other values (19) 780
 
3.7%
Han
ValueCountFrequency (%)
葬 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 78775
78.9%
ASCII 20744
 
20.8%
None 260
 
0.3%
Compat Jamo 30
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
15757
76.0%
0 1086
 
5.2%
2 910
 
4.4%
1 642
 
3.1%
) 481
 
2.3%
( 479
 
2.3%
- 181
 
0.9%
9 175
 
0.8%
. 159
 
0.8%
3 149
 
0.7%
Other values (44) 725
 
3.5%
Hangul
ValueCountFrequency (%)
시 3406
 
4.3%
조 3223
 
4.1%
례 3110
 
3.9%
수 3079
 
3.9%
안 3017
 
3.8%
의 2961
 
3.8%
여 2777
 
3.5%
정 2269
 
2.9%
회 2110
 
2.7%
관 1777
 
2.3%
Other values (474) 51046
64.8%
None
ValueCountFrequency (%)
· 232
89.2%
「 7
 
2.7%
」 7
 
2.7%
］ 4
 
1.5%
［ 4
 
1.5%
』 3
 
1.2%
『 3
 
1.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 30
100.0%
CJK
ValueCountFrequency (%)
葬 1
100.0%

제출(발의)자
Text

Distinct586
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
2023-12-12T19:15:46.528654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length2
Mean length4.5225431
Min length2

Characters and Unicode

Total characters17855
Distinct characters188
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

Unique429 ?
Unique (%)10.9%

Sample

1st row정이칠의원외 9인
2nd row정이칠의원외 9인
3rd row정이칠의원외 9인
4th row정이칠의원외 9인
5th row정이칠의원외 9인
ValueCountFrequency (%)
시장 1649
31.5%
여수시장 562
 
10.7%
의장 541
 
10.3%
의원 315
 
6.0%
외 194
 
3.7%
운영위원장 109
 
2.1%
9인 89
 
1.7%
11인 64
 
1.2%
8인 63
 
1.2%
10인 49
 
0.9%
Other values (329) 1603
30.6%
2023-12-12T19:15:46.952866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3079
17.2%
시 2219
 
12.4%
의 1508
 
8.4%
1290
 
7.2%
원 1269
 
7.1%
외 659
 
3.7%
수 605
 
3.4%
여 584
 
3.3%
인 522
 
2.9%
1 448
 
2.5%
Other values (178) 5672
31.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15297
85.7%
Space Separator 1290
 
7.2%
Decimal Number 1090
 
6.1%
Math Symbol 137
 
0.8%
Other Punctuation 17
 
0.1%
Open Punctuation 10
 
0.1%
Close Punctuation 10
 
0.1%
Dash Punctuation 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3079
20.1%
시 2219
14.5%
의 1508
 
9.9%
원 1269
 
8.3%
외 659
 
4.3%
수 605
 
4.0%
여 584
 
3.8%
인 522
 
3.4%
위 406
 
2.7%
명 204
 
1.3%
Other values (159) 4242
27.7%
Decimal Number
ValueCountFrequency (%)
1 448
41.1%
9 117
 
10.7%
2 108
 
9.9%
8 88
 
8.1%
0 86
 
7.9%
4 61
 
5.6%
6 53
 
4.9%
5 52
 
4.8%
7 40
 
3.7%
3 37
 
3.4%
Other Punctuation
ValueCountFrequency (%)
/ 14
82.4%
· 3
 
17.6%
Uppercase Letter
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%
Space Separator
ValueCountFrequency (%)
1290
100.0%
Math Symbol
ValueCountFrequency (%)
+ 137
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15297
85.7%
Common 2556
 
14.3%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3079
20.1%
시 2219
14.5%
의 1508
 
9.9%
원 1269
 
8.3%
외 659
 
4.3%
수 605
 
4.0%
여 584
 
3.8%
인 522
 
3.4%
위 406
 
2.7%
명 204
 
1.3%
Other values (159) 4242
27.7%
Common
ValueCountFrequency (%)
1290
50.5%
1 448
 
17.5%
+ 137
 
5.4%
9 117
 
4.6%
2 108
 
4.2%
8 88
 
3.4%
0 86
 
3.4%
4 61
 
2.4%
6 53
 
2.1%
5 52
 
2.0%
Other values (7) 116
 
4.5%
Latin
ValueCountFrequency (%)
N 1
50.0%
U 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15297
85.7%
ASCII 2555
 
14.3%
None 3
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3079
20.1%
시 2219
14.5%
의 1508
 
9.9%
원 1269
 
8.3%
외 659
 
4.3%
수 605
 
4.0%
여 584
 
3.8%
인 522
 
3.4%
위 406
 
2.7%
명 204
 
1.3%
Other values (159) 4242
27.7%
ASCII
ValueCountFrequency (%)
1290
50.5%
1 448
 
17.5%
+ 137
 
5.4%
9 117
 
4.6%
2 108
 
4.2%
8 88
 
3.4%
0 86
 
3.4%
4 61
 
2.4%
6 53
 
2.1%
5 52
 
2.0%
Other values (8) 115
 
4.5%
None
ValueCountFrequency (%)
· 3
100.0%

발의일(제출일)
Date

Distinct1321
Distinct (%)33.5%
Missing1
Missing (%)< 0.1%
Memory size31.0 KiB
Minimum1998-04-01 00:00:00
Maximum2021-08-30 00:00:00
2023-12-12T19:15:47.103285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:15:47.258352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의보고일
Date

MISSING 

Distinct363
Distinct (%)14.7%
Missing1483
Missing (%)37.6%
Memory size31.0 KiB
Minimum1998-04-01 00:00:00
Maximum2021-09-14 00:00:00
2023-12-12T19:15:47.434210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:15:47.590228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관특별위원회
Categorical

Distinct28
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
본회의
957 
환경복지위원회
479 
<NA>
454 
기획자치위원회
444 
기획행정위원회
438 
Other values (23)
1176 

Length

Max length26
Median length21
Mean length5.6111955
Min length1

Unique

Unique6 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
본회의 957
24.2%
환경복지위원회 479
12.1%
<NA> 454
11.5%
기획자치위원회 444
11.2%
기획행정위원회 438
11.1%
내무위원회 406
10.3%
관광건설위원회 153
 
3.9%
의회운영위원회 131
 
3.3%
산업건설위원회 116
 
2.9%
경제건설위원회 106
 
2.7%
Other values (18) 264
 
6.7%

Length

2023-12-12T19:15:47.759152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
본회의 957
23.8%
환경복지위원회 479
11.9%
na 454
11.3%
기획자치위원회 444
11.1%
기획행정위원회 438
10.9%
내무위원회 406
10.1%
관광건설위원회 153
 
3.8%
의회운영위원회 131
 
3.3%
산업건설위원회 116
 
2.9%
경제건설위원회 106
 
2.6%
Other values (19) 334
 
8.3%

위윈회처리회부일
Text

MISSING 

Distinct695
Distinct (%)28.7%
Missing1523
Missing (%)38.6%
Memory size31.0 KiB
2023-12-12T19:15:48.033817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.001237
Min length4

Characters and Unicode

Total characters24253
Distinct characters16
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

Unique338 ?
Unique (%)13.9%

Sample

1st row1998-07-16
2nd row1998-07-22
3rd row1998-07-22
4th row1998-07-22
5th row1998-07-22
ValueCountFrequency (%)
2015-09-07 36
 
1.5%
2019-05-28 27
 
1.1%
2021-07-05 25
 
1.0%
2016-09-13 25
 
1.0%
2013-11-18 25
 
1.0%
2015-10-16 24
 
1.0%
2018-11-06 24
 
1.0%
2019-11-05 23
 
0.9%
2013-07-04 21
 
0.9%
2016-11-09 21
 
0.9%
Other values (685) 2174
89.6%
2023-12-12T19:15:48.627131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6409
26.4%
- 4846
20.0%
2 4040
16.7%
1 3880
16.0%
9 972
 
4.0%
3 818
 
3.4%
5 741
 
3.1%
8 697
 
2.9%
7 671
 
2.8%
6 616
 
2.5%
Other values (6) 563
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19388
79.9%
Dash Punctuation 4846
 
20.0%
Other Letter 16
 
0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6409
33.1%
2 4040
20.8%
1 3880
20.0%
9 972
 
5.0%
3 818
 
4.2%
5 741
 
3.8%
8 697
 
3.6%
7 671
 
3.5%
6 616
 
3.2%
4 544
 
2.8%
Other Letter
ValueCountFrequency (%)
위 4
25.0%
원 4
25.0%
회 4
25.0%
안 4
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 4846
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24237
99.9%
Hangul 16
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6409
26.4%
- 4846
20.0%
2 4040
16.7%
1 3880
16.0%
9 972
 
4.0%
3 818
 
3.4%
5 741
 
3.1%
8 697
 
2.9%
7 671
 
2.8%
6 616
 
2.5%
Other values (2) 547
 
2.3%
Hangul
ValueCountFrequency (%)
위 4
25.0%
원 4
25.0%
회 4
25.0%
안 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 24237
99.9%
Hangul 16
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6409
26.4%
- 4846
20.0%
2 4040
16.7%
1 3880
16.0%
9 972
 
4.0%
3 818
 
3.4%
5 741
 
3.1%
8 697
 
2.9%
7 671
 
2.8%
6 616
 
2.5%
Other values (2) 547
 
2.3%
Hangul
ValueCountFrequency (%)
위 4
25.0%
원 4
25.0%
회 4
25.0%
안 4
25.0%

위윈회처리보고일
Text

MISSING 

Distinct424
Distinct (%)21.2%
Missing1947
Missing (%)49.3%
Memory size31.0 KiB
2023-12-12T19:15:49.014706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length10
Mean length10.132434
Min length10

Characters and Unicode

Total characters20275
Distinct characters19
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique158 ?
Unique (%)7.9%

Sample

1st row1998-07-16
2nd row1998-07-22
3rd row1998-07-22
4th row1998-07-22
5th row1998-07-22
ValueCountFrequency (%)
2016-09-26 28
 
1.4%
2015-10-23 26
 
1.3%
2013-07-11 25
 
1.2%
2019-09-19 24
 
1.2%
2019-07-16 22
 
1.1%
2015-09-10 21
 
1.0%
2015-12-04 20
 
1.0%
2015-07-13 20
 
1.0%
2013-12-05 20
 
1.0%
2006-04-27 19
 
0.9%
Other values (414) 1779
88.8%
2023-12-12T19:15:49.535561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4972
24.5%
- 4047
20.0%
2 3696
18.2%
1 3513
17.3%
9 777
 
3.8%
7 630
 
3.1%
6 613
 
3.0%
3 572
 
2.8%
5 540
 
2.7%
4 466
 
2.3%
Other values (9) 449
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16190
79.9%
Dash Punctuation 4047
 
20.0%
Other Punctuation 22
 
0.1%
Other Letter 6
 
< 0.1%
Space Separator 3
 
< 0.1%
Math Symbol 3
 
< 0.1%
Open Punctuation 2
 
< 0.1%
Close Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4972
30.7%
2 3696
22.8%
1 3513
21.7%
9 777
 
4.8%
7 630
 
3.9%
6 613
 
3.8%
3 572
 
3.5%
5 540
 
3.3%
4 466
 
2.9%
8 411
 
2.5%
Other Letter
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2
66.7%
~ 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 4047
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 22
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20269
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4972
24.5%
- 4047
20.0%
2 3696
18.2%
1 3513
17.3%
9 777
 
3.8%
7 630
 
3.1%
6 613
 
3.0%
3 572
 
2.8%
5 540
 
2.7%
4 466
 
2.3%
Other values (7) 443
 
2.2%
Hangul
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20269
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4972
24.5%
- 4047
20.0%
2 3696
18.2%
1 3513
17.3%
9 777
 
3.8%
7 630
 
3.1%
6 613
 
3.0%
3 572
 
2.8%
5 540
 
2.7%
4 466
 
2.3%
Other values (7) 443
 
2.2%
Hangul
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%

위윈회처리상정일
Text

MISSING 

Distinct503
Distinct (%)22.1%
Missing1670
Missing (%)42.3%
Memory size31.0 KiB
2023-12-12T19:15:49.933648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length10
Mean length10.390255
Min length10

Characters and Unicode

Total characters23669
Distinct characters21
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique199 ?
Unique (%)8.7%

Sample

1st row1998-07-16
2nd row1998-07-22
3rd row1998-07-24
4th row1998-07-24
5th row1998-07-24
ValueCountFrequency (%)
2021-06-02 35
 
1.5%
2020-11-11 29
 
1.3%
2016-09-26 27
 
1.2%
2015-10-23 26
 
1.1%
2013-07-11 25
 
1.1%
2020-10-13 24
 
1.0%
2020-09-15 24
 
1.0%
2019-09-19 23
 
1.0%
2019-07-16 22
 
1.0%
2015-09-10 21
 
0.9%
Other values (492) 2030
88.8%
2023-12-12T19:15:50.359173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5956
25.2%
- 4711
19.9%
2 4372
18.5%
1 3883
16.4%
9 871
 
3.7%
7 727
 
3.1%
3 705
 
3.0%
6 682
 
2.9%
5 610
 
2.6%
4 578
 
2.4%
Other values (11) 574
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18848
79.6%
Dash Punctuation 4711
 
19.9%
Other Punctuation 74
 
0.3%
Other Letter 19
 
0.1%
Space Separator 8
 
< 0.1%
Math Symbol 7
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5956
31.6%
2 4372
23.2%
1 3883
20.6%
9 871
 
4.6%
7 727
 
3.9%
3 705
 
3.7%
6 682
 
3.6%
5 610
 
3.2%
4 578
 
3.1%
8 464
 
2.5%
Other Letter
ValueCountFrequency (%)
재 9
47.4%
정 5
26.3%
상 4
21.1%
산 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
+ 5
71.4%
~ 2
 
28.6%
Dash Punctuation
ValueCountFrequency (%)
- 4711
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 74
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 23650
99.9%
Hangul 19
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5956
25.2%
- 4711
19.9%
2 4372
18.5%
1 3883
16.4%
9 871
 
3.7%
7 727
 
3.1%
3 705
 
3.0%
6 682
 
2.9%
5 610
 
2.6%
4 578
 
2.4%
Other values (7) 555
 
2.3%
Hangul
ValueCountFrequency (%)
재 9
47.4%
정 5
26.3%
상 4
21.1%
산 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 23650
99.9%
Hangul 19
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5956
25.2%
- 4711
19.9%
2 4372
18.5%
1 3883
16.4%
9 871
 
3.7%
7 727
 
3.1%
3 705
 
3.0%
6 682
 
2.9%
5 610
 
2.6%
4 578
 
2.4%
Other values (7) 555
 
2.3%
Hangul
ValueCountFrequency (%)
재 9
47.4%
정 5
26.3%
상 4
21.1%
산 1
 
5.3%

위윈회처리처리일
Text

MISSING 

Distinct510
Distinct (%)22.9%
Missing1719
Missing (%)43.5%
Memory size31.0 KiB
2023-12-12T19:15:50.668528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length10
Mean length10.284432
Min length4

Characters and Unicode

Total characters22924
Distinct characters25
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique206 ?
Unique (%)9.2%

Sample

1st row1998-07-16
2nd row1998-07-22
3rd row1998-07-24
4th row1998-07-24
5th row1998-07-24
ValueCountFrequency (%)
2016-09-26 28
 
1.3%
2015-10-23 26
 
1.2%
2013-07-11 25
 
1.1%
2019-09-19 23
 
1.0%
2019-07-16 22
 
1.0%
2015-09-10 21
 
0.9%
2015-07-13 21
 
0.9%
2012-12-06 20
 
0.9%
2006-04-27 19
 
0.8%
2016-05-11 19
 
0.8%
Other values (499) 2013
90.0%
2023-12-12T19:15:51.111995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5744
25.1%
- 4562
19.9%
2 4228
18.4%
1 3762
16.4%
9 839
 
3.7%
7 720
 
3.1%
3 664
 
2.9%
6 653
 
2.8%
5 593
 
2.6%
4 576
 
2.5%
Other values (15) 583
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18254
79.6%
Dash Punctuation 4562
 
19.9%
Other Punctuation 55
 
0.2%
Other Letter 37
 
0.2%
Space Separator 8
 
< 0.1%
Math Symbol 6
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5744
31.5%
2 4228
23.2%
1 3762
20.6%
9 839
 
4.6%
7 720
 
3.9%
3 664
 
3.6%
6 653
 
3.6%
5 593
 
3.2%
4 576
 
3.2%
8 475
 
2.6%
Other Letter
ValueCountFrequency (%)
재 7
18.9%
정 5
13.5%
안 5
13.5%
결 5
13.5%
가 5
13.5%
원 5
13.5%
상 4
10.8%
산 1
 
2.7%
Math Symbol
ValueCountFrequency (%)
+ 5
83.3%
~ 1
 
16.7%
Dash Punctuation
ValueCountFrequency (%)
- 4562
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 55
100.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22887
99.8%
Hangul 37
 
0.2%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5744
25.1%
- 4562
19.9%
2 4228
18.5%
1 3762
16.4%
9 839
 
3.7%
7 720
 
3.1%
3 664
 
2.9%
6 653
 
2.9%
5 593
 
2.6%
4 576
 
2.5%
Other values (7) 546
 
2.4%
Hangul
ValueCountFrequency (%)
재 7
18.9%
정 5
13.5%
안 5
13.5%
결 5
13.5%
가 5
13.5%
원 5
13.5%
상 4
10.8%
산 1
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22887
99.8%
Hangul 37
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5744
25.1%
- 4562
19.9%
2 4228
18.5%
1 3762
16.4%
9 839
 
3.7%
7 720
 
3.1%
3 664
 
2.9%
6 653
 
2.9%
5 593
 
2.6%
4 576
 
2.5%
Other values (7) 546
 
2.4%
Hangul
ValueCountFrequency (%)
재 7
18.9%
정 5
13.5%
안 5
13.5%
결 5
13.5%
가 5
13.5%
원 5
13.5%
상 4
10.8%
산 1
 
2.7%

위윈회처리결과
Text

MISSING 

Distinct122
Distinct (%)5.4%
Missing1671
Missing (%)42.3%
Memory size31.0 KiB
2023-12-12T19:15:51.311456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length4
Mean length4.7523057
Min length2

Characters and Unicode

Total characters10821
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)3.3%

Sample

1st row원안가결
2nd row결산검사위원 5명 선임가결
3rd row위원회수정안가결
4th row원안가결
5th row위원회수정안가결
ValueCountFrequency (%)
원안가결 1317
48.9%
가결 320
 
11.9%
수정안가결 186
 
6.9%
수정안 176
 
6.5%
원안 148
 
5.5%
부결 71
 
2.6%
수정가결 49
 
1.8%
찬성의견 40
 
1.5%
철회 30
 
1.1%
부의하지 22
 
0.8%
Other values (122) 336
 
12.5%
2023-12-12T19:15:51.696124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
결 2091
19.3%
안 1992
18.4%
가 1978
18.3%
원 1590
14.7%
정 497
 
4.6%
수 491
 
4.5%
418
 
3.9%
의 167
 
1.5%
보 118
 
1.1%
부 115
 
1.1%
Other values (79) 1364
12.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10199
94.3%
Space Separator 418
 
3.9%
Other Punctuation 111
 
1.0%
Open Punctuation 39
 
0.4%
Close Punctuation 39
 
0.4%
Decimal Number 10
 
0.1%
Dash Punctuation 3
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
결 2091
20.5%
안 1992
19.5%
가 1978
19.4%
원 1590
15.6%
정 497
 
4.9%
수 491
 
4.8%
의 167
 
1.6%
보 118
 
1.2%
부 115
 
1.1%
회 114
 
1.1%
Other values (65) 1046
10.3%
Decimal Number
ValueCountFrequency (%)
1 2
20.0%
0 2
20.0%
5 2
20.0%
2 1
10.0%
8 1
10.0%
6 1
10.0%
9 1
10.0%
Other Punctuation
ValueCountFrequency (%)
/ 109
98.2%
. 2
 
1.8%
Space Separator
ValueCountFrequency (%)
418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10199
94.3%
Common 622
 
5.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
결 2091
20.5%
안 1992
19.5%
가 1978
19.4%
원 1590
15.6%
정 497
 
4.9%
수 491
 
4.8%
의 167
 
1.6%
보 118
 
1.2%
부 115
 
1.1%
회 114
 
1.1%
Other values (65) 1046
10.3%
Common
ValueCountFrequency (%)
418
67.2%
/ 109
 
17.5%
( 39
 
6.3%
) 39
 
6.3%
- 3
 
0.5%
1 2
 
0.3%
0 2
 
0.3%
5 2
 
0.3%
. 2
 
0.3%
+ 2
 
0.3%
Other values (4) 4
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10199
94.3%
ASCII 622
 
5.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
결 2091
20.5%
안 1992
19.5%
가 1978
19.4%
원 1590
15.6%
정 497
 
4.9%
수 491
 
4.8%
의 167
 
1.6%
보 118
 
1.2%
부 115
 
1.1%
회 114
 
1.1%
Other values (65) 1046
10.3%
ASCII
ValueCountFrequency (%)
418
67.2%
/ 109
 
17.5%
( 39
 
6.3%
) 39
 
6.3%
- 3
 
0.5%
1 2
 
0.3%
0 2
 
0.3%
5 2
 
0.3%
. 2
 
0.3%
+ 2
 
0.3%
Other values (4) 4
 
0.6%

예결위보고일
Text

MISSING 

Distinct93
Distinct (%)88.6%
Missing3843
Missing (%)97.3%
Memory size31.0 KiB
2023-12-12T19:15:51.973197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.104762
Min length10

Characters and Unicode

Total characters1061
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)78.1%

Sample

1st row2000-07-20
2nd row2000-07-19
3rd row2000-07-19
4th row2000-07-19
5th row2000-10-27
ValueCountFrequency (%)
2000-07-19 3
 
2.9%
2001-07-19 2
 
1.9%
2002-09-06 2
 
1.9%
2014-08-01 2
 
1.9%
2009-07-15 2
 
1.9%
2008-07-21 2
 
1.9%
2016-05-16 2
 
1.9%
2003-07-14 2
 
1.9%
2021-06-07 2
 
1.9%
2020-06-09 2
 
1.9%
Other values (83) 84
80.0%
2023-12-12T19:15:52.389223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 265
25.0%
- 212
20.0%
2 200
18.9%
1 176
16.6%
7 42
 
4.0%
9 37
 
3.5%
3 32
 
3.0%
6 26
 
2.5%
8 26
 
2.5%
4 25
 
2.4%
Other values (2) 20
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
79.9%
Dash Punctuation 212
 
20.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 265
31.2%
2 200
23.6%
1 176
20.8%
7 42
 
5.0%
9 37
 
4.4%
3 32
 
3.8%
6 26
 
3.1%
8 26
 
3.1%
4 25
 
2.9%
5 19
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1061
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 265
25.0%
- 212
20.0%
2 200
18.9%
1 176
16.6%
7 42
 
4.0%
9 37
 
3.5%
3 32
 
3.0%
6 26
 
2.5%
8 26
 
2.5%
4 25
 
2.4%
Other values (2) 20
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 265
25.0%
- 212
20.0%
2 200
18.9%
1 176
16.6%
7 42
 
4.0%
9 37
 
3.5%
3 32
 
3.0%
6 26
 
2.5%
8 26
 
2.5%
4 25
 
2.4%
Other values (2) 20
 
1.9%

예결위처리일
Text

MISSING 

Distinct94
Distinct (%)89.5%
Missing3843
Missing (%)97.3%
Memory size31.0 KiB
2023-12-12T19:15:52.783279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.104762
Min length10

Characters and Unicode

Total characters1061
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)80.0%

Sample

1st row2000-07-20
2nd row2000-07-20
3rd row2000-07-20
4th row2000-10-28
5th row2000-12-20
ValueCountFrequency (%)
2000-07-20 3
 
2.9%
2002-09-07 2
 
1.9%
2016-05-19 2
 
1.9%
2003-07-14 2
 
1.9%
2007-07-18 2
 
1.9%
2008-07-24 2
 
1.9%
2009-07-15 2
 
1.9%
2004-07-17 2
 
1.9%
2001-07-20 2
 
1.9%
2021-06-08 2
 
1.9%
Other values (84) 84
80.0%
2023-12-12T19:15:53.222820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 270
25.4%
2 215
20.3%
- 212
20.0%
1 166
15.6%
7 40
 
3.8%
9 36
 
3.4%
8 32
 
3.0%
4 26
 
2.5%
6 22
 
2.1%
3 21
 
2.0%
Other values (2) 21
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 848
79.9%
Dash Punctuation 212
 
20.0%
Other Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 270
31.8%
2 215
25.4%
1 166
19.6%
7 40
 
4.7%
9 36
 
4.2%
8 32
 
3.8%
4 26
 
3.1%
6 22
 
2.6%
3 21
 
2.5%
5 20
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 212
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1061
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 270
25.4%
2 215
20.3%
- 212
20.0%
1 166
15.6%
7 40
 
3.8%
9 36
 
3.4%
8 32
 
3.0%
4 26
 
2.5%
6 22
 
2.1%
3 21
 
2.0%
Other values (2) 21
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1061
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 270
25.4%
2 215
20.3%
- 212
20.0%
1 166
15.6%
7 40
 
3.8%
9 36
 
3.4%
8 32
 
3.0%
4 26
 
2.5%
6 22
 
2.1%
3 21
 
2.0%
Other values (2) 21
 
2.0%

예결위결과
Categorical

IMBALANCE 

Distinct7
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
<NA>
3884 
원안가결
 
19
수정안가결
 
18
수정안 가결
 
18
수정가결
 
7
Other values (2)
 
2

Length

Max length6
Median length4
Mean length4.0134245
Min length2

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3884
98.4%
원안가결 19
 
0.5%
수정안가결 18
 
0.5%
수정안 가결 18
 
0.5%
수정가결 7
 
0.2%
부결 1
 
< 0.1%
원안 가결 1
 
< 0.1%

Length

2023-12-12T19:15:53.405936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:53.530581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 3884
97.9%
원안가결 19
 
0.5%
가결 19
 
0.5%
수정안가결 18
 
0.5%
수정안 18
 
0.5%
수정가결 7
 
0.2%
부결 1
 
< 0.1%
원안 1
 
< 0.1%

본회의의결보고일
Text

MISSING 

Distinct522
Distinct (%)14.5%
Missing350
Missing (%)8.9%
Memory size31.0 KiB
2023-12-12T19:15:53.797534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.009172
Min length10

Characters and Unicode

Total characters36013
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)2.4%

Sample

1st row1998-04-01
2nd row1998-04-01
3rd row1998-04-01
4th row1998-04-01
5th row1998-04-01
ValueCountFrequency (%)
1998-04-01 177
 
4.9%
2015-09-15 40
 
1.1%
2016-09-30 36
 
1.0%
2013-12-20 34
 
0.9%
2021-07-22 34
 
0.9%
2019-09-25 32
 
0.9%
2013-07-25 32
 
0.9%
2021-06-11 30
 
0.8%
2016-12-21 30
 
0.8%
2013-10-14 28
 
0.8%
Other values (512) 3125
86.9%
2023-12-12T19:15:54.194475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8851
24.6%
- 7202
20.0%
2 6707
18.6%
1 5531
15.4%
9 1957
 
5.4%
8 1052
 
2.9%
7 1037
 
2.9%
5 990
 
2.7%
3 926
 
2.6%
4 895
 
2.5%
Other values (2) 865
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28808
80.0%
Dash Punctuation 7202
 
20.0%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8851
30.7%
2 6707
23.3%
1 5531
19.2%
9 1957
 
6.8%
8 1052
 
3.7%
7 1037
 
3.6%
5 990
 
3.4%
3 926
 
3.2%
4 895
 
3.1%
6 862
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 7202
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36013
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8851
24.6%
- 7202
20.0%
2 6707
18.6%
1 5531
15.4%
9 1957
 
5.4%
8 1052
 
2.9%
7 1037
 
2.9%
5 990
 
2.7%
3 926
 
2.6%
4 895
 
2.5%
Other values (2) 865
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36013
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8851
24.6%
- 7202
20.0%
2 6707
18.6%
1 5531
15.4%
9 1957
 
5.4%
8 1052
 
2.9%
7 1037
 
2.9%
5 990
 
2.7%
3 926
 
2.6%
4 895
 
2.5%
Other values (2) 865
 
2.4%

본회의의결상정일
Text

MISSING 

Distinct518
Distinct (%)14.3%
Missing337
Missing (%)8.5%
Memory size31.0 KiB
2023-12-12T19:15:54.501677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.006092
Min length10

Characters and Unicode

Total characters36132
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)2.3%

Sample

1st row1998-04-01
2nd row1998-04-01
3rd row1998-04-01
4th row1998-04-01
5th row1998-04-01
ValueCountFrequency (%)
1998-04-01 177
 
4.9%
2015-09-15 40
 
1.1%
2021-07-22 36
 
1.0%
2016-09-30 36
 
1.0%
2013-12-20 34
 
0.9%
2013-07-25 32
 
0.9%
2019-09-25 31
 
0.9%
2021-06-11 30
 
0.8%
2016-12-21 30
 
0.8%
2013-10-14 28
 
0.8%
Other values (508) 3137
86.9%
2023-12-12T19:15:54.928433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8905
24.6%
- 7226
20.0%
2 6732
18.6%
1 5536
15.3%
9 1957
 
5.4%
8 1048
 
2.9%
7 1028
 
2.8%
5 987
 
2.7%
3 942
 
2.6%
4 911
 
2.5%
Other values (2) 860
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28904
80.0%
Dash Punctuation 7226
 
20.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8905
30.8%
2 6732
23.3%
1 5536
19.2%
9 1957
 
6.8%
8 1048
 
3.6%
7 1028
 
3.6%
5 987
 
3.4%
3 942
 
3.3%
4 911
 
3.2%
6 858
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 7226
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36132
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8905
24.6%
- 7226
20.0%
2 6732
18.6%
1 5536
15.3%
9 1957
 
5.4%
8 1048
 
2.9%
7 1028
 
2.8%
5 987
 
2.7%
3 942
 
2.6%
4 911
 
2.5%
Other values (2) 860
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36132
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8905
24.6%
- 7226
20.0%
2 6732
18.6%
1 5536
15.3%
9 1957
 
5.4%
8 1048
 
2.9%
7 1028
 
2.8%
5 987
 
2.7%
3 942
 
2.6%
4 911
 
2.5%
Other values (2) 860
 
2.4%

본회의의결처리일
Text

MISSING 

Distinct520
Distinct (%)14.4%
Missing330
Missing (%)8.4%
Memory size31.0 KiB
2023-12-12T19:15:55.195970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length10
Mean length10.007739
Min length10

Characters and Unicode

Total characters36208
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

Unique82 ?
Unique (%)2.3%

Sample

1st row1998-04-01
2nd row1998-04-01
3rd row1998-04-01
4th row1998-04-01
5th row1998-04-01
ValueCountFrequency (%)
1998-04-01 177
 
4.9%
2015-09-15 40
 
1.1%
2021-07-22 36
 
1.0%
2016-09-30 36
 
1.0%
2013-12-20 34
 
0.9%
2019-09-25 32
 
0.9%
2013-07-25 32
 
0.9%
2021-06-11 30
 
0.8%
2016-12-21 30
 
0.8%
2013-10-14 28
 
0.8%
Other values (510) 3143
86.9%
2023-12-12T19:15:55.714917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 8921
24.6%
- 7240
20.0%
2 6748
18.6%
1 5543
15.3%
9 1959
 
5.4%
8 1053
 
2.9%
7 1030
 
2.8%
5 989
 
2.7%
3 944
 
2.6%
4 917
 
2.5%
Other values (7) 864
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28961
80.0%
Dash Punctuation 7240
 
20.0%
Other Letter 5
 
< 0.1%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 8921
30.8%
2 6748
23.3%
1 5543
19.1%
9 1959
 
6.8%
8 1053
 
3.6%
7 1030
 
3.6%
5 989
 
3.4%
3 944
 
3.3%
4 917
 
3.2%
6 857
 
3.0%
Other Letter
ValueCountFrequency (%)
제 1
20.0%
차 1
20.0%
본 1
20.0%
회 1
20.0%
의 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 7240
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 36203
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 8921
24.6%
- 7240
20.0%
2 6748
18.6%
1 5543
15.3%
9 1959
 
5.4%
8 1053
 
2.9%
7 1030
 
2.8%
5 989
 
2.7%
3 944
 
2.6%
4 917
 
2.5%
Other values (2) 859
 
2.4%
Hangul
ValueCountFrequency (%)
제 1
20.0%
차 1
20.0%
본 1
20.0%
회 1
20.0%
의 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 36203
> 99.9%
Hangul 5
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 8921
24.6%
- 7240
20.0%
2 6748
18.6%
1 5543
15.3%
9 1959
 
5.4%
8 1053
 
2.9%
7 1030
 
2.8%
5 989
 
2.7%
3 944
 
2.6%
4 917
 
2.5%
Other values (2) 859
 
2.4%
Hangul
ValueCountFrequency (%)
제 1
20.0%
차 1
20.0%
본 1
20.0%
회 1
20.0%
의 1
20.0%

본회의의결결과
Text

MISSING 

Distinct123
Distinct (%)3.3%
Missing268
Missing (%)6.8%
Memory size31.0 KiB
2023-12-12T19:15:55.991245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length4
Mean length4.6725543
Min length2

Characters and Unicode

Total characters17195
Distinct characters116
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique73 ?
Unique (%)2.0%

Sample

1st row원안가결
2nd row원안가결
3rd row원안가결
4th row원안가결
5th row원안가결
ValueCountFrequency (%)
원안가결 2546
58.4%
가결 427
 
9.8%
원안 231
 
5.3%
수정안가결 228
 
5.2%
수정안 187
 
4.3%
위원회 185
 
4.2%
원안채택 76
 
1.7%
처리 44
 
1.0%
찬성의견 39
 
0.9%
부결 39
 
0.9%
Other values (144) 360
 
8.3%
2023-12-12T19:15:56.491379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
결 3425
19.9%
안 3417
19.9%
가 3331
19.4%
원 3159
18.4%
682
 
4.0%
정 526
 
3.1%
수 525
 
3.1%
위 310
 
1.8%
회 305
 
1.8%
의 132
 
0.8%
Other values (106) 1383
8.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 16097
93.6%
Space Separator 682
 
4.0%
Decimal Number 193
 
1.1%
Close Punctuation 80
 
0.5%
Open Punctuation 80
 
0.5%
Other Punctuation 55
 
0.3%
Math Symbol 5
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
결 3425
21.3%
안 3417
21.2%
가 3331
20.7%
원 3159
19.6%
정 526
 
3.3%
수 525
 
3.3%
위 310
 
1.9%
회 305
 
1.9%
의 132
 
0.8%
채 123
 
0.8%
Other values (87) 844
 
5.2%
Decimal Number
ValueCountFrequency (%)
1 40
20.7%
6 32
16.6%
2 31
16.1%
0 18
9.3%
3 15
 
7.8%
8 14
 
7.3%
7 12
 
6.2%
4 12
 
6.2%
9 10
 
5.2%
5 9
 
4.7%
Other Punctuation
ValueCountFrequency (%)
. 32
58.2%
/ 17
30.9%
: 6
 
10.9%
Math Symbol
ValueCountFrequency (%)
~ 3
60.0%
+ 2
40.0%
Space Separator
ValueCountFrequency (%)
682
100.0%
Close Punctuation
ValueCountFrequency (%)
) 80
100.0%
Open Punctuation
ValueCountFrequency (%)
( 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 16097
93.6%
Common 1098
 
6.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
결 3425
21.3%
안 3417
21.2%
가 3331
20.7%
원 3159
19.6%
정 526
 
3.3%
수 525
 
3.3%
위 310
 
1.9%
회 305
 
1.9%
의 132
 
0.8%
채 123
 
0.8%
Other values (87) 844
 
5.2%
Common
ValueCountFrequency (%)
682
62.1%
) 80
 
7.3%
( 80
 
7.3%
1 40
 
3.6%
6 32
 
2.9%
. 32
 
2.9%
2 31
 
2.8%
0 18
 
1.6%
/ 17
 
1.5%
3 15
 
1.4%
Other values (9) 71
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 16097
93.6%
ASCII 1098
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
결 3425
21.3%
안 3417
21.2%
가 3331
20.7%
원 3159
19.6%
정 526
 
3.3%
수 525
 
3.3%
위 310
 
1.9%
회 305
 
1.9%
의 132
 
0.8%
채 123
 
0.8%
Other values (87) 844
 
5.2%
ASCII
ValueCountFrequency (%)
682
62.1%
) 80
 
7.3%
( 80
 
7.3%
1 40
 
3.6%
6 32
 
2.9%
. 32
 
2.9%
2 31
 
2.8%
0 18
 
1.6%
/ 17
 
1.5%
3 15
 
1.4%
Other values (9) 71
 
6.5%

집행부이송일
Text

MISSING 

Distinct296
Distinct (%)11.3%
Missing1322
Missing (%)33.5%
Memory size31.0 KiB
2023-12-12T19:15:56.842107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length10
Mean length10.006474
Min length10

Characters and Unicode

Total characters26277
Distinct characters15
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique82 ?
Unique (%)3.1%

Sample

1st row1998-04-02
2nd row1998-04-02
3rd row1998-04-02
4th row1998-04-02
5th row1998-04-02
ValueCountFrequency (%)
1998-04-02 173
 
6.6%
2015-09-16 39
 
1.5%
2021-07-23 36
 
1.4%
2016-09-30 35
 
1.3%
2013-12-20 34
 
1.3%
2021-06-11 33
 
1.3%
2019-09-27 32
 
1.2%
2016-12-21 30
 
1.1%
2013-07-25 30
 
1.1%
2015-10-29 28
 
1.1%
Other values (286) 2158
82.1%
2023-12-12T19:15:57.433334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6385
24.3%
- 5254
20.0%
2 5143
19.6%
1 3794
14.4%
9 1564
 
6.0%
3 839
 
3.2%
4 735
 
2.8%
7 706
 
2.7%
6 649
 
2.5%
8 620
 
2.4%
Other values (5) 588
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 21016
80.0%
Dash Punctuation 5254
 
20.0%
Other Letter 4
 
< 0.1%
Space Separator 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6385
30.4%
2 5143
24.5%
1 3794
18.1%
9 1564
 
7.4%
3 839
 
4.0%
4 735
 
3.5%
7 706
 
3.4%
6 649
 
3.1%
8 620
 
3.0%
5 581
 
2.8%
Other Letter
ValueCountFrequency (%)
통 2
50.0%
보 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5254
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 26273
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6385
24.3%
- 5254
20.0%
2 5143
19.6%
1 3794
14.4%
9 1564
 
6.0%
3 839
 
3.2%
4 735
 
2.8%
7 706
 
2.7%
6 649
 
2.5%
8 620
 
2.4%
Other values (3) 584
 
2.2%
Hangul
ValueCountFrequency (%)
통 2
50.0%
보 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 26273
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6385
24.3%
- 5254
20.0%
2 5143
19.6%
1 3794
14.4%
9 1564
 
6.0%
3 839
 
3.2%
4 735
 
2.8%
7 706
 
2.7%
6 649
 
2.5%
8 620
 
2.4%
Other values (3) 584
 
2.2%
Hangul
ValueCountFrequency (%)
통 2
50.0%
보 2
50.0%

종류
Categorical

Distinct14
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
조례안-시장
1372 
기타안건
999 
조례안-의원
438 
공유재산
353 
동의안/승인안
256 
Other values (9)
530 

Length

Max length7
Median length6
Mean length5.0658561
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row조례안-의원
2nd row조례안-의원
3rd row조례안-의원
4th row조례안-의원
5th row조례안-의원

Common Values

ValueCountFrequency (%)
조례안-시장 1372
34.8%
기타안건 999
25.3%
조례안-의원 438
 
11.1%
공유재산 353
 
8.9%
동의안/승인안 256
 
6.5%
예산안 100
 
2.5%
건의안 100
 
2.5%
의견청취 97
 
2.5%
결의안 81
 
2.1%
조례안-위원회 68
 
1.7%
Other values (4) 84
 
2.1%

Length

2023-12-12T19:15:57.583049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안-시장 1372
34.8%
기타안건 999
25.3%
조례안-의원 438
 
11.1%
공유재산 353
 
8.9%
동의안/승인안 256
 
6.5%
예산안 100
 
2.5%
건의안 100
 
2.5%
의견청취 97
 
2.5%
결의안 81
 
2.1%
조례안-위원회 68
 
1.7%
Other values (4) 84
 
2.1%

처리
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.0 KiB
처리-가결(원안)
3031 
처리-가결(수정)
543 
처리-부결
 
126
처리-철회
 
111
처리-폐기
 
93
Other values (4)
 
44

Length

Max length9
Median length9
Mean length8.6149949
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row처리-가결(원안)
2nd row처리-가결(원안)
3rd row처리-가결(원안)
4th row처리-가결(원안)
5th row처리-가결(원안)

Common Values

ValueCountFrequency (%)
처리-가결(원안) 3031
76.8%
처리-가결(수정) 543
 
13.8%
처리-부결 126
 
3.2%
처리-철회 111
 
2.8%
처리-폐기 93
 
2.4%
접수(비고) 24
 
0.6%
접수 8
 
0.2%
보류 6
 
0.2%
<NA> 6
 
0.2%

Length

2023-12-12T19:15:57.717035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T19:15:57.840158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처리-가결(원안 3031
76.8%
처리-가결(수정 543
 
13.8%
처리-부결 126
 
3.2%
처리-철회 111
 
2.8%
처리-폐기 93
 
2.4%
접수(비고 24
 
0.6%
접수 8
 
0.2%
보류 6
 
0.2%
na 6
 
0.2%

Sample

의안번호의안명제출(발의)자발의일(제출일)본회의보고일소관특별위원회위윈회처리회부일위윈회처리보고일위윈회처리상정일위윈회처리처리일위윈회처리결과예결위보고일예결위처리일예결위결과본회의의결보고일본회의의결상정일본회의의결처리일본회의의결결과집행부이송일종류처리
01여수시의회공인 조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
12여수시의회사무국의설치및사무직원의정수등에관한조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
23여수시의회행정사무감사및조사에관한 조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
34여수시의회에출석·답변할수있는관계공무원의범위에관한조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
45여수시의회의원의정활동비·회의수당및여비지급에관한조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
56여수시의회위원회조례안정이칠의원외 9인1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-의원처리-가결(원안)
67여수시공직자윤리위원회구성과운영에관한조례안시장1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-시장처리-가결(원안)
78여수시정조정위원회조례안시장1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-시장처리-가결(원안)
89여수시지방공무원직무발명보상조례안시장1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-시장처리-가결(원안)
910여수시민제안조례안시장1998-04-011998-04-01<NA><NA><NA><NA><NA><NA><NA><NA><NA>1998-04-011998-04-011998-04-01원안가결1998-04-02조례안-시장처리-가결(원안)
의안번호의안명제출(발의)자발의일(제출일)본회의보고일소관특별위원회위윈회처리회부일위윈회처리보고일위윈회처리상정일위윈회처리처리일위윈회처리결과예결위보고일예결위처리일예결위결과본회의의결보고일본회의의결상정일본회의의결처리일본회의의결결과집행부이송일종류처리
39383941여수시 폐기물처리시설 설치·운영 및 주변지역 지원 등에 관한 조례 일부개정조례안시장2021-08-262021-09-14환경복지위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15조례안-시장처리-가결(원안)
39393942여수시 폐기물처리시설 설치비용 징수 및 기금운용 조례 일부개정조례안시장2021-08-262021-09-14환경복지위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15조례안-시장처리-가결(원안)
39403943여수시 노인전문요양병원 설치 및 운영 조례 일부개정조례안시장2021-08-262021-09-14환경복지위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15조례안-시장처리-가결(원안)
39413944여수시 어린이급식관리지원센터 운영 사무 민간위탁 동의안시장2021-08-262021-09-14환경복지위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15동의안/승인안처리-가결(원안)
39423945여수시 옥외광고물 등 관리 조례 일부개정조례안시장2021-08-262021-09-14해양도시건설위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15조례안-시장처리-가결(원안)
39433946여수시 도시공원 및 녹지 등에 관한 조례 일부개정조례안시장2021-08-262021-09-14해양도시건설위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15조례안-시장처리-가결(원안)
394439472021년도 제4회 추가경정예산안시장2021-08-262021-09-14전 상임위원회2021-08-30<NA><NA><NA><NA><NA>2021-09-10수정안가결2021-09-142021-09-142021-09-14<NA>2021-09-15예산안처리-가결(수정)
39453948GS칼텍스 예울마루 관리위탁 동의안시장2021-08-272021-09-14기획행정위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15동의안/승인안처리-가결(원안)
39463949여수시 예술인촌 운영 사무 민간위탁 동의안시장2021-08-272021-09-14기획행정위원회2021-08-30<NA><NA>2021-09-08원안가결<NA><NA><NA>2021-09-142021-09-142021-09-14원안가결2021-09-15동의안/승인안처리-가결(원안)
39473950여수시 초등학생 입학 축하금 지원 조례안주재현 의원2021-08-30<NA>기획행정위원회2021-08-31<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>조례안-의원접수