Overview

Dataset statistics

Number of variables23
Number of observations2170
Missing cells7771
Missing cells (%)15.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory396.4 KiB
Average record size in memory187.1 B

Variable types

Numeric3
Categorical5
Text7
DateTime8

Dataset

Description부산광역시 북구 기초자치의회 의정활동 참여율 분석을 위한 데이터로 지방의회 초대부터 현재까지의 의안정보(안건명, 발의권자 등)를 제공하고 있습니다.
Author부산광역시 북구
URLhttps://www.data.go.kr/data/15037989/fileData.do

Alerts

발의의원 is highly imbalanced (90.3%)Imbalance
의원회 결과 is highly imbalanced (53.3%)Imbalance
본회의 결과 is highly imbalanced (74.1%)Imbalance
발의(기타) has 346 (15.9%) missing valuesMissing
본회의보고일 has 262 (12.1%) missing valuesMissing
위원회회부일 has 890 (41.0%) missing valuesMissing
위원회처리일 has 741 (34.1%) missing valuesMissing
심사보고접수일 has 471 (21.7%) missing valuesMissing
본회의 상정일 has 427 (19.7%) missing valuesMissing
본회의처리일 has 65 (3.0%) missing valuesMissing
이송일 has 844 (38.9%) missing valuesMissing
공포일 has 1570 (72.4%) missing valuesMissing
비고 has 2144 (98.8%) missing valuesMissing

Reproduction

Analysis started2024-04-21 01:06:45.378316
Analysis finished2024-04-21 01:06:46.324988
Duration0.95 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Real number (ℝ)

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.3207373
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-04-21T10:06:46.376272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q38
95-th percentile9
Maximum9
Range8
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.6097635
Coefficient of variation (CV)0.49048906
Kurtosis-1.2315661
Mean5.3207373
Median Absolute Deviation (MAD)2
Skewness-0.25874033
Sum11546
Variance6.8108653
MonotonicityDecreasing
2024-04-21T10:06:46.465009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 430
19.8%
1 263
12.1%
7 254
11.7%
6 228
10.5%
4 228
10.5%
3 222
10.2%
9 205
9.4%
5 198
9.1%
2 142
 
6.5%
ValueCountFrequency (%)
1 263
12.1%
2 142
 
6.5%
3 222
10.2%
4 228
10.5%
5 198
9.1%
6 228
10.5%
7 254
11.7%
8 430
19.8%
9 205
9.4%
ValueCountFrequency (%)
9 205
9.4%
8 430
19.8%
7 254
11.7%
6 228
10.5%
5 198
9.1%
4 228
10.5%
3 222
10.2%
2 142
 
6.5%
1 263
12.1%

회기
Real number (ℝ)

Distinct247
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean157.22535
Minimum1
Maximum269
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-04-21T10:06:46.598590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.45
Q186
median171.5
Q3232
95-th percentile264
Maximum269
Range268
Interquartile range (IQR)146

Descriptive statistics

Standard deviation81.066595
Coefficient of variation (CV)0.51560768
Kurtosis-1.2122218
Mean157.22535
Median Absolute Deviation (MAD)67.5
Skewness-0.33131088
Sum341179
Variance6571.7929
MonotonicityNot monotonic
2024-04-21T10:06:46.720688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
251 47
 
2.2%
267 37
 
1.7%
245 33
 
1.5%
9 28
 
1.3%
264 28
 
1.3%
232 27
 
1.2%
244 24
 
1.1%
207 24
 
1.1%
260 23
 
1.1%
250 23
 
1.1%
Other values (237) 1876
86.5%
ValueCountFrequency (%)
1 3
 
0.1%
2 2
 
0.1%
3 4
 
0.2%
4 5
 
0.2%
5 3
 
0.1%
6 3
 
0.1%
7 5
 
0.2%
8 2
 
0.1%
9 28
1.3%
10 8
 
0.4%
ValueCountFrequency (%)
269 14
 
0.6%
268 9
 
0.4%
267 37
1.7%
266 20
0.9%
265 13
 
0.6%
264 28
1.3%
262 11
 
0.5%
261 13
 
0.6%
260 23
1.1%
259 12
 
0.6%

의안번호
Real number (ℝ)

Distinct2169
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1085.4198
Minimum1
Maximum2170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size19.2 KiB
2024-04-21T10:06:46.839936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile109.45
Q1543.25
median1085.5
Q31627.75
95-th percentile2061.55
Maximum2170
Range2169
Interquartile range (IQR)1084.5

Descriptive statistics

Standard deviation626.45854
Coefficient of variation (CV)0.57715782
Kurtosis-1.2000914
Mean1085.4198
Median Absolute Deviation (MAD)542.5
Skewness-0.00035208261
Sum2355361
Variance392450.3
MonotonicityDecreasing
2024-04-21T10:06:46.957304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1864 2
 
0.1%
719 1
 
< 0.1%
725 1
 
< 0.1%
724 1
 
< 0.1%
723 1
 
< 0.1%
722 1
 
< 0.1%
721 1
 
< 0.1%
720 1
 
< 0.1%
718 1
 
< 0.1%
711 1
 
< 0.1%
Other values (2159) 2159
99.5%
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 (%)
2170 1
< 0.1%
2169 1
< 0.1%
2168 1
< 0.1%
2167 1
< 0.1%
2166 1
< 0.1%
2165 1
< 0.1%
2164 1
< 0.1%
2163 1
< 0.1%
2162 1
< 0.1%
2161 1
< 0.1%

의안종류
Categorical

Distinct10
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
조례안
1486 
기타
224 
예산안
181 
동의안
 
95
승인안
 
75
Other values (5)
 
109

Length

Max length4
Median length3
Mean length2.897235
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
조례안 1486
68.5%
기타 224
 
10.3%
예산안 181
 
8.3%
동의안 95
 
4.4%
승인안 75
 
3.5%
결산안 39
 
1.8%
규칙안 31
 
1.4%
결의안 30
 
1.4%
건의안 8
 
0.4%
<NA> 1
 
< 0.1%

Length

2024-04-21T10:06:47.082757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:06:47.191040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 1486
68.5%
기타 224
 
10.3%
예산안 181
 
8.3%
동의안 95
 
4.4%
승인안 75
 
3.5%
결산안 39
 
1.8%
규칙안 31
 
1.4%
결의안 30
 
1.4%
건의안 8
 
0.4%
na 1
 
< 0.1%
Distinct1667
Distinct (%)76.8%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-04-21T10:06:47.388193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length50
Mean length27.396774
Min length5

Characters and Unicode

Total characters59451
Distinct characters427
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1454 ?
Unique (%)67.0%

Sample

1st row부산광역시 북구 안전한 무인식품판매점 이용환경 조성에 관한 조례안
2nd row부산광역시 북구 주민참여 활성화 조례 일부개정조례안
3rd row부산광역시 북구 입학준비금 지원 조례안
4th row부산광역시 북구 여성합창단 설치 및 운영 조례 일부개정조례안
5th row부산광역시 북구 지역자율방재단 운영 등에 관한 조례 일부개정조례안
ValueCountFrequency (%)
부산광역시 1279
 
11.0%
북구 1112
 
9.6%
일부개정조례안 595
 
5.1%
조례 590
 
5.1%
483
 
4.2%
관한 410
 
3.5%
조례안 353
 
3.0%
개정조례안 164
 
1.4%
설치 163
 
1.4%
북구의회 136
 
1.2%
Other values (2071) 6325
54.5%
2024-04-21T10:06:47.744481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
9440
 
15.9%
2672
 
4.5%
2583
 
4.3%
2286
 
3.8%
2179
 
3.7%
2077
 
3.5%
1981
 
3.3%
1758
 
3.0%
1670
 
2.8%
1563
 
2.6%
Other values (417) 31242
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 48086
80.9%
Space Separator 9440
 
15.9%
Decimal Number 1479
 
2.5%
Other Punctuation 176
 
0.3%
Close Punctuation 106
 
0.2%
Open Punctuation 105
 
0.2%
Dash Punctuation 25
 
< 0.1%
Uppercase Letter 24
 
< 0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2672
 
5.6%
2583
 
5.4%
2286
 
4.8%
2179
 
4.5%
2077
 
4.3%
1981
 
4.1%
1758
 
3.7%
1670
 
3.5%
1563
 
3.3%
1520
 
3.2%
Other values (384) 27797
57.8%
Decimal Number
ValueCountFrequency (%)
2 434
29.3%
0 368
24.9%
1 230
15.6%
9 159
 
10.8%
3 101
 
6.8%
4 45
 
3.0%
8 40
 
2.7%
5 38
 
2.6%
7 34
 
2.3%
6 30
 
2.0%
Uppercase Letter
ValueCountFrequency (%)
L 7
29.2%
E 6
25.0%
D 6
25.0%
T 2
 
8.3%
B 1
 
4.2%
K 1
 
4.2%
X 1
 
4.2%
Other Punctuation
ValueCountFrequency (%)
· 107
60.8%
. 53
30.1%
, 13
 
7.4%
: 3
 
1.7%
Lowercase Letter
ValueCountFrequency (%)
k 2
33.3%
t 2
33.3%
x 2
33.3%
Close Punctuation
ValueCountFrequency (%)
) 98
92.5%
8
 
7.5%
Open Punctuation
ValueCountFrequency (%)
( 97
92.4%
8
 
7.6%
Letter Number
ValueCountFrequency (%)
1
50.0%
1
50.0%
Space Separator
ValueCountFrequency (%)
9440
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 48086
80.9%
Common 11333
 
19.1%
Latin 32
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2672
 
5.6%
2583
 
5.4%
2286
 
4.8%
2179
 
4.5%
2077
 
4.3%
1981
 
4.1%
1758
 
3.7%
1670
 
3.5%
1563
 
3.3%
1520
 
3.2%
Other values (384) 27797
57.8%
Common
ValueCountFrequency (%)
9440
83.3%
2 434
 
3.8%
0 368
 
3.2%
1 230
 
2.0%
9 159
 
1.4%
· 107
 
0.9%
3 101
 
0.9%
) 98
 
0.9%
( 97
 
0.9%
. 53
 
0.5%
Other values (11) 246
 
2.2%
Latin
ValueCountFrequency (%)
L 7
21.9%
E 6
18.8%
D 6
18.8%
T 2
 
6.2%
k 2
 
6.2%
t 2
 
6.2%
x 2
 
6.2%
B 1
 
3.1%
K 1
 
3.1%
X 1
 
3.1%
Other values (2) 2
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 48086
80.9%
ASCII 11240
 
18.9%
None 123
 
0.2%
Number Forms 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
9440
84.0%
2 434
 
3.9%
0 368
 
3.3%
1 230
 
2.0%
9 159
 
1.4%
3 101
 
0.9%
) 98
 
0.9%
( 97
 
0.9%
. 53
 
0.5%
4 45
 
0.4%
Other values (18) 215
 
1.9%
Hangul
ValueCountFrequency (%)
2672
 
5.6%
2583
 
5.4%
2286
 
4.8%
2179
 
4.5%
2077
 
4.3%
1981
 
4.1%
1758
 
3.7%
1670
 
3.5%
1563
 
3.3%
1520
 
3.2%
Other values (384) 27797
57.8%
None
ValueCountFrequency (%)
· 107
87.0%
8
 
6.5%
8
 
6.5%
Number Forms
ValueCountFrequency (%)
1
50.0%
1
50.0%
Distinct156
Distinct (%)7.2%
Missing8
Missing (%)0.4%
Memory size17.1 KiB
2024-04-21T10:06:48.001372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length4
Mean length4.2044403
Min length3

Characters and Unicode

Total characters9090
Distinct characters129
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)2.9%

Sample

1st row김태식
2nd row하승범
3rd row하승범
4th row김성택
5th row북구청장
ValueCountFrequency (%)
북구청장 1579
67.5%
김태식 32
 
1.4%
손분연 31
 
1.3%
강광진 31
 
1.3%
김명석 24
 
1.0%
백종학 23
 
1.0%
김효정 23
 
1.0%
이영란 22
 
0.9%
김성택 21
 
0.9%
정양훈 20
 
0.9%
Other values (105) 533
 
22.8%
2024-04-21T10:06:48.361116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1612
17.7%
1596
17.6%
1584
17.4%
1583
17.4%
244
 
2.7%
177
 
1.9%
139
 
1.5%
133
 
1.5%
110
 
1.2%
88
 
1.0%
Other values (119) 1824
20.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8893
97.8%
Space Separator 177
 
1.9%
Decimal Number 9
 
0.1%
Close Punctuation 3
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Other Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1612
18.1%
1596
17.9%
1584
17.8%
1583
17.8%
244
 
2.7%
139
 
1.6%
133
 
1.5%
110
 
1.2%
88
 
1.0%
88
 
1.0%
Other values (107) 1716
19.3%
Decimal Number
ValueCountFrequency (%)
1 3
33.3%
0 2
22.2%
5 1
 
11.1%
4 1
 
11.1%
6 1
 
11.1%
2 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
· 1
33.3%
Space Separator
ValueCountFrequency (%)
177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8893
97.8%
Common 197
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1612
18.1%
1596
17.9%
1584
17.8%
1583
17.8%
244
 
2.7%
139
 
1.6%
133
 
1.5%
110
 
1.2%
88
 
1.0%
88
 
1.0%
Other values (107) 1716
19.3%
Common
ValueCountFrequency (%)
177
89.8%
1 3
 
1.5%
) 3
 
1.5%
( 3
 
1.5%
, 2
 
1.0%
- 2
 
1.0%
0 2
 
1.0%
· 1
 
0.5%
5 1
 
0.5%
4 1
 
0.5%
Other values (2) 2
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8893
97.8%
ASCII 196
 
2.2%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
1612
18.1%
1596
17.9%
1584
17.8%
1583
17.8%
244
 
2.7%
139
 
1.6%
133
 
1.5%
110
 
1.2%
88
 
1.0%
88
 
1.0%
Other values (107) 1716
19.3%
ASCII
ValueCountFrequency (%)
177
90.3%
1 3
 
1.5%
) 3
 
1.5%
( 3
 
1.5%
, 2
 
1.0%
- 2
 
1.0%
0 2
 
1.0%
5 1
 
0.5%
4 1
 
0.5%
6 1
 
0.5%
None
ValueCountFrequency (%)
· 1
100.0%

발의(기타)
Text

MISSING 

Distinct140
Distinct (%)7.7%
Missing346
Missing (%)15.9%
Memory size17.1 KiB
2024-04-21T10:06:48.612234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.3596491
Min length2

Characters and Unicode

Total characters7952
Distinct characters135
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

Unique38 ?
Unique (%)2.1%

Sample

1st row찬성자 4명
2nd row찬성자 4명
3rd row찬성자 4명
4th row찬성자 3명
5th row안전총괄과
ValueCountFrequency (%)
기획감사실 263
 
12.9%
찬성자 204
 
10.0%
재무과 112
 
5.5%
세무과 84
 
4.1%
행정지원과 72
 
3.5%
총무과 65
 
3.2%
12인 63
 
3.1%
4명 58
 
2.9%
건축과 44
 
2.2%
11인 44
 
2.2%
Other values (128) 1025
50.4%
2024-04-21T10:06:48.979654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
967
 
12.2%
346
 
4.4%
334
 
4.2%
332
 
4.2%
330
 
4.1%
318
 
4.0%
285
 
3.6%
268
 
3.4%
252
 
3.2%
243
 
3.1%
Other values (125) 4277
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7072
88.9%
Decimal Number 667
 
8.4%
Space Separator 210
 
2.6%
Close Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
967
 
13.7%
346
 
4.9%
334
 
4.7%
332
 
4.7%
330
 
4.7%
318
 
4.5%
285
 
4.0%
268
 
3.8%
252
 
3.6%
243
 
3.4%
Other values (111) 3397
48.0%
Decimal Number
ValueCountFrequency (%)
1 235
35.2%
2 80
 
12.0%
4 78
 
11.7%
3 62
 
9.3%
5 50
 
7.5%
6 40
 
6.0%
8 38
 
5.7%
7 34
 
5.1%
9 33
 
4.9%
0 17
 
2.5%
Space Separator
ValueCountFrequency (%)
210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7072
88.9%
Common 880
 
11.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
967
 
13.7%
346
 
4.9%
334
 
4.7%
332
 
4.7%
330
 
4.7%
318
 
4.5%
285
 
4.0%
268
 
3.8%
252
 
3.6%
243
 
3.4%
Other values (111) 3397
48.0%
Common
ValueCountFrequency (%)
1 235
26.7%
210
23.9%
2 80
 
9.1%
4 78
 
8.9%
3 62
 
7.0%
5 50
 
5.7%
6 40
 
4.5%
8 38
 
4.3%
7 34
 
3.9%
9 33
 
3.8%
Other values (4) 20
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7072
88.9%
ASCII 880
 
11.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
967
 
13.7%
346
 
4.9%
334
 
4.7%
332
 
4.7%
330
 
4.7%
318
 
4.5%
285
 
4.0%
268
 
3.8%
252
 
3.6%
243
 
3.4%
Other values (111) 3397
48.0%
ASCII
ValueCountFrequency (%)
1 235
26.7%
210
23.9%
2 80
 
9.1%
4 78
 
8.9%
3 62
 
7.0%
5 50
 
5.7%
6 40
 
4.5%
8 38
 
4.3%
7 34
 
3.9%
9 33
 
3.8%
Other values (4) 20
 
2.3%
Distinct684
Distinct (%)31.6%
Missing3
Missing (%)0.1%
Memory size17.1 KiB
Minimum1991-04-15 00:00:00
Maximum2024-02-27 00:00:00
2024-04-21T10:06:49.117609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:49.224180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의보고일
Date

MISSING 

Distinct369
Distinct (%)19.3%
Missing262
Missing (%)12.1%
Memory size17.1 KiB
Minimum1992-02-27 00:00:00
Maximum2024-03-06 00:00:00
2024-04-21T10:06:49.330326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:49.444510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회
Categorical

Distinct14
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
주민도시위원회
475 
<NA>
449 
기획총무위원회
420 
예산결산특별위원회
205 
행정복지위원회
190 
Other values (9)
431 

Length

Max length9
Median length7
Mean length6.5170507
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row주민도시위원회
2nd row행정복지위원회
3rd row행정복지위원회
4th row행정복지위원회
5th row주민도시위원회

Common Values

ValueCountFrequency (%)
주민도시위원회 475
21.9%
<NA> 449
20.7%
기획총무위원회 420
19.4%
예산결산특별위원회 205
9.4%
행정복지위원회 190
 
8.8%
의회운영위원회 160
 
7.4%
총무사회위원회 146
 
6.7%
도시산업위원회 31
 
1.4%
사회도시위원회 30
 
1.4%
본회의 28
 
1.3%
Other values (4) 36
 
1.7%

Length

2024-04-21T10:06:49.572027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주민도시위원회 475
21.9%
na 449
20.7%
기획총무위원회 420
19.4%
예산결산특별위원회 205
9.4%
행정복지위원회 190
 
8.8%
의회운영위원회 160
 
7.4%
총무사회위원회 146
 
6.7%
도시산업위원회 31
 
1.4%
사회도시위원회 30
 
1.4%
본회의 28
 
1.3%
Other values (4) 36
 
1.7%

발의의원
Categorical

IMBALANCE 

Distinct47
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
<NA>
2063 
김명관
 
8
김명석
 
7
임종영
 
5
이동호
 
5
Other values (42)
 
82

Length

Max length4
Median length4
Mean length3.9506912
Min length3

Unique

Unique21 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 2063
95.1%
김명관 8
 
0.4%
김명석 7
 
0.3%
임종영 5
 
0.2%
이동호 5
 
0.2%
이상민 5
 
0.2%
이순영 5
 
0.2%
김만종 5
 
0.2%
이동발 4
 
0.2%
박성복 4
 
0.2%
Other values (37) 59
 
2.7%

Length

2024-04-21T10:06:49.670525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 2063
95.1%
김명관 8
 
0.4%
김명석 7
 
0.3%
임종영 5
 
0.2%
이동호 5
 
0.2%
이상민 5
 
0.2%
이순영 5
 
0.2%
김만종 5
 
0.2%
윤성만 4
 
0.2%
정인선 4
 
0.2%
Other values (37) 59
 
2.7%

위원회회부일
Date

MISSING 

Distinct285
Distinct (%)22.3%
Missing890
Missing (%)41.0%
Memory size17.1 KiB
Minimum1998-02-09 00:00:00
Maximum2024-02-28 00:00:00
2024-04-21T10:06:49.767758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:49.869794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리일
Text

MISSING 

Distinct369
Distinct (%)25.8%
Missing741
Missing (%)34.1%
Memory size17.1 KiB
2024-04-21T10:06:50.107958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length10.002799
Min length8

Characters and Unicode

Total characters14294
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

Unique139 ?
Unique (%)9.7%

Sample

1st row2024-03-07
2nd row2024-03-07
3rd row2024-03-07
4th row2024-03-07
5th row2024-03-07
ValueCountFrequency (%)
2021-11-22 28
 
2.0%
2020-11-12 24
 
1.7%
2023-05-10 21
 
1.5%
2021-05-07 19
 
1.3%
2023-09-11 18
 
1.3%
2021-09-06 18
 
1.3%
1991-12-26 18
 
1.3%
2018-07-17 17
 
1.2%
2012-02-21 17
 
1.2%
2019-05-08 17
 
1.2%
Other values (359) 1232
86.2%
2024-04-21T10:06:50.486266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3231
22.6%
- 2856
20.0%
2 2749
19.2%
1 2460
17.2%
9 812
 
5.7%
3 499
 
3.5%
5 363
 
2.5%
7 357
 
2.5%
4 357
 
2.5%
6 334
 
2.3%
Other values (2) 276
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 11436
80.0%
Dash Punctuation 2856
 
20.0%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3231
28.3%
2 2749
24.0%
1 2460
21.5%
9 812
 
7.1%
3 499
 
4.4%
5 363
 
3.2%
7 357
 
3.1%
4 357
 
3.1%
6 334
 
2.9%
8 274
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 2856
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14294
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3231
22.6%
- 2856
20.0%
2 2749
19.2%
1 2460
17.2%
9 812
 
5.7%
3 499
 
3.5%
5 363
 
2.5%
7 357
 
2.5%
4 357
 
2.5%
6 334
 
2.3%
Other values (2) 276
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14294
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3231
22.6%
- 2856
20.0%
2 2749
19.2%
1 2460
17.2%
9 812
 
5.7%
3 499
 
3.5%
5 363
 
2.5%
7 357
 
2.5%
4 357
 
2.5%
6 334
 
2.3%
Other values (2) 276
 
1.9%

의원회 결과
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
원안가결
1200 
<NA>
741 
수정가결
172 
부결
 
29
보류
 
12
Other values (4)
 
16

Length

Max length5
Median length4
Mean length3.9506912
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1200
55.3%
<NA> 741
34.1%
수정가결 172
 
7.9%
부결 29
 
1.3%
보류 12
 
0.6%
폐기 10
 
0.5%
철회 3
 
0.1%
계획서채택 2
 
0.1%
미상정 1
 
< 0.1%

Length

2024-04-21T10:06:50.604375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:06:50.709217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 1200
55.3%
na 741
34.1%
수정가결 172
 
7.9%
부결 29
 
1.3%
보류 12
 
0.6%
폐기 10
 
0.5%
철회 3
 
0.1%
계획서채택 2
 
0.1%
미상정 1
 
< 0.1%
Distinct258
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-04-21T10:06:50.989790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.202765
Min length6

Characters and Unicode

Total characters15630
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

Unique44 ?
Unique (%)2.0%

Sample

1st row제269회 1차
2nd row제269회 1차
3rd row제269회 1차
4th row제269회 2차
5th row제269회 1차
ValueCountFrequency (%)
0차 1496
34.5%
제0회 538
 
12.4%
1차 300
 
6.9%
2차 214
 
4.9%
3차 74
 
1.7%
4차 47
 
1.1%
제251회 44
 
1.0%
제245회 39
 
0.9%
5차 31
 
0.7%
제267회 30
 
0.7%
Other values (210) 1527
35.2%
2024-04-21T10:06:51.357686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2299
14.7%
2170
13.9%
2170
13.9%
2170
13.9%
2170
13.9%
1 1210
7.7%
2 859
 
5.5%
5 453
 
2.9%
4 419
 
2.7%
6 404
 
2.6%
Other values (4) 1306
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6950
44.5%
Other Letter 6510
41.7%
Space Separator 2170
 
13.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2299
33.1%
1 1210
17.4%
2 859
 
12.4%
5 453
 
6.5%
4 419
 
6.0%
6 404
 
5.8%
3 368
 
5.3%
7 360
 
5.2%
9 307
 
4.4%
8 271
 
3.9%
Other Letter
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%
Space Separator
ValueCountFrequency (%)
2170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9120
58.3%
Hangul 6510
41.7%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2299
25.2%
2170
23.8%
1 1210
13.3%
2 859
 
9.4%
5 453
 
5.0%
4 419
 
4.6%
6 404
 
4.4%
3 368
 
4.0%
7 360
 
3.9%
9 307
 
3.4%
Hangul
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9120
58.3%
Hangul 6510
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2299
25.2%
2170
23.8%
1 1210
13.3%
2 859
 
9.4%
5 453
 
5.0%
4 419
 
4.6%
6 404
 
4.4%
3 368
 
4.0%
7 360
 
3.9%
9 307
 
3.4%
Hangul
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%

심사보고접수일
Date

MISSING 

Distinct430
Distinct (%)25.3%
Missing471
Missing (%)21.7%
Memory size17.1 KiB
Minimum1995-08-28 00:00:00
Maximum2024-03-08 00:00:00
2024-04-21T10:06:51.657323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:51.784814image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 상정일
Date

MISSING 

Distinct404
Distinct (%)23.2%
Missing427
Missing (%)19.7%
Memory size17.1 KiB
Minimum1992-02-27 00:00:00
Maximum2024-03-08 00:00:00
2024-04-21T10:06:51.898954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:52.000898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리일
Date

MISSING 

Distinct499
Distinct (%)23.7%
Missing65
Missing (%)3.0%
Memory size17.1 KiB
Minimum1991-04-16 00:00:00
Maximum2120-12-02 00:00:00
2024-04-21T10:06:52.099808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:52.218045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 결과
Categorical

IMBALANCE 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
원안가결
1857 
수정가결
212 
<NA>
 
50
부결
 
21
수정안
 
13
Other values (4)
 
17

Length

Max length4
Median length4
Mean length3.9589862
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1857
85.6%
수정가결 212
 
9.8%
<NA> 50
 
2.3%
부결 21
 
1.0%
수정안 13
 
0.6%
폐기 9
 
0.4%
기타 5
 
0.2%
철회 2
 
0.1%
보류 1
 
< 0.1%

Length

2024-04-21T10:06:52.358865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:06:52.468136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 1857
85.6%
수정가결 212
 
9.8%
na 50
 
2.3%
부결 21
 
1.0%
수정안 13
 
0.6%
폐기 9
 
0.4%
기타 5
 
0.2%
철회 2
 
0.1%
보류 1
 
< 0.1%
Distinct243
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Memory size17.1 KiB
2024-04-21T10:06:52.701698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length7.2313364
Min length6

Characters and Unicode

Total characters15692
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

Unique39 ?
Unique (%)1.8%

Sample

1st row제269회 2차
2nd row제269회 2차
3rd row제0회 0차
4th row제269회 2차
5th row제269회 2차
ValueCountFrequency (%)
0차 1461
33.7%
2차 553
 
12.7%
제0회 506
 
11.7%
1차 126
 
2.9%
제251회 45
 
1.0%
제245회 36
 
0.8%
제267회 32
 
0.7%
3차 28
 
0.6%
제9회 28
 
0.6%
제264회 27
 
0.6%
Other values (206) 1498
34.5%
2024-04-21T10:06:53.054283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2234
14.2%
2170
13.8%
2170
13.8%
2170
13.8%
2170
13.8%
2 1208
7.7%
1 1075
6.9%
5 422
 
2.7%
6 405
 
2.6%
4 371
 
2.4%
Other values (4) 1297
8.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7012
44.7%
Other Letter 6510
41.5%
Space Separator 2170
 
13.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2234
31.9%
2 1208
17.2%
1 1075
15.3%
5 422
 
6.0%
6 405
 
5.8%
4 371
 
5.3%
7 359
 
5.1%
3 337
 
4.8%
9 332
 
4.7%
8 269
 
3.8%
Other Letter
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%
Space Separator
ValueCountFrequency (%)
2170
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9182
58.5%
Hangul 6510
41.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2234
24.3%
2170
23.6%
2 1208
13.2%
1 1075
11.7%
5 422
 
4.6%
6 405
 
4.4%
4 371
 
4.0%
7 359
 
3.9%
3 337
 
3.7%
9 332
 
3.6%
Hangul
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9182
58.5%
Hangul 6510
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2234
24.3%
2170
23.6%
2 1208
13.2%
1 1075
11.7%
5 422
 
4.6%
6 405
 
4.4%
4 371
 
4.0%
7 359
 
3.9%
3 337
 
3.7%
9 332
 
3.6%
Hangul
ValueCountFrequency (%)
2170
33.3%
2170
33.3%
2170
33.3%

이송일
Date

MISSING 

Distinct201
Distinct (%)15.2%
Missing844
Missing (%)38.9%
Memory size17.1 KiB
Minimum1998-08-07 00:00:00
Maximum2024-03-08 00:00:00
2024-04-21T10:06:53.180216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:53.303111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct87
Distinct (%)14.5%
Missing1570
Missing (%)72.4%
Memory size17.1 KiB
Minimum2013-09-25 00:00:00
Maximum2024-01-31 00:00:00
2024-04-21T10:06:53.425790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:06:53.535124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

비고
Text

MISSING 

Distinct23
Distinct (%)88.5%
Missing2144
Missing (%)98.8%
Memory size17.1 KiB
2024-04-21T10:06:53.702006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length4
Mean length8.5384615
Min length3

Characters and Unicode

Total characters222
Distinct characters46
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)76.9%

Sample

1st row2021-12-02
2nd row2017-03-22
3rd row2014.11.28 보류된 안건이 2015.4.21 부결 처리됨
4th row발의자 이상민의원(2014.3.27 사직)
5th row제188회
ValueCountFrequency (%)
제22회 2
 
5.6%
제73회 2
 
5.6%
제152회 2
 
5.6%
사직 2
 
5.6%
발의자 2
 
5.6%
본회의보고일(1998-09-11 1
 
2.8%
2021-12-02 1
 
2.8%
제69회 1
 
2.8%
원안발의(1998-07-24 1
 
2.8%
위원회만결정 1
 
2.8%
Other values (21) 21
58.3%
2024-04-21T10:06:53.969241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 23
 
10.4%
2 23
 
10.4%
21
 
9.5%
19
 
8.6%
0 12
 
5.4%
10
 
4.5%
- 8
 
3.6%
9 8
 
3.6%
. 8
 
3.6%
4 8
 
3.6%
Other values (36) 82
36.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 102
45.9%
Other Letter 85
38.3%
Space Separator 10
 
4.5%
Other Punctuation 9
 
4.1%
Dash Punctuation 8
 
3.6%
Close Punctuation 4
 
1.8%
Open Punctuation 4
 
1.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
24.7%
19
22.4%
6
 
7.1%
4
 
4.7%
3
 
3.5%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (20) 22
25.9%
Decimal Number
ValueCountFrequency (%)
1 23
22.5%
2 23
22.5%
0 12
11.8%
9 8
 
7.8%
4 8
 
7.8%
7 8
 
7.8%
8 7
 
6.9%
3 5
 
4.9%
5 5
 
4.9%
6 3
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 8
88.9%
, 1
 
11.1%
Space Separator
ValueCountFrequency (%)
10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 137
61.7%
Hangul 85
38.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
24.7%
19
22.4%
6
 
7.1%
4
 
4.7%
3
 
3.5%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (20) 22
25.9%
Common
ValueCountFrequency (%)
1 23
16.8%
2 23
16.8%
0 12
8.8%
10
7.3%
- 8
 
5.8%
9 8
 
5.8%
. 8
 
5.8%
4 8
 
5.8%
7 8
 
5.8%
8 7
 
5.1%
Other values (6) 22
16.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 137
61.7%
Hangul 85
38.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 23
16.8%
2 23
16.8%
0 12
8.8%
10
7.3%
- 8
 
5.8%
9 8
 
5.8%
. 8
 
5.8%
4 8
 
5.8%
7 8
 
5.8%
8 7
 
5.1%
Other values (6) 22
16.1%
Hangul
ValueCountFrequency (%)
21
24.7%
19
22.4%
6
 
7.1%
4
 
4.7%
3
 
3.5%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (20) 22
25.9%

Sample

대수회기의안번호의안종류안건명발의(제출)자발의(기타)발의(제출)일본회의보고일소관위원회발의의원위원회회부일위원회처리일의원회 결과위원회 회차수심사보고접수일본회의 상정일본회의처리일본회의 결과본회의 회차수이송일공포일비고
092692170조례안부산광역시 북구 안전한 무인식품판매점 이용환경 조성에 관한 조례안김태식찬성자 4명2024-02-272024-03-06주민도시위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
192692169조례안부산광역시 북구 주민참여 활성화 조례 일부개정조례안하승범찬성자 4명2024-02-272024-03-06행정복지위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
292692168조례안부산광역시 북구 입학준비금 지원 조례안하승범찬성자 4명2024-02-272024-03-06행정복지위원회<NA>2024-02-282024-03-07부결제269회 1차2024-03-08<NA><NA><NA>제0회 0차<NA><NA><NA>
392692167조례안부산광역시 북구 여성합창단 설치 및 운영 조례 일부개정조례안김성택찬성자 3명2024-02-272024-03-06행정복지위원회<NA>2024-02-282024-03-07원안가결제269회 2차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
492692166조례안부산광역시 북구 지역자율방재단 운영 등에 관한 조례 일부개정조례안북구청장안전총괄과2024-02-262024-03-06주민도시위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
592692165조례안부산광역시 북구 반려동물 보호 및 학대방지 조례 일부개정조례안북구청장일자리경제과2024-02-262024-03-06주민도시위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
692692164조례안부산광역시 북구 동물보호 조례 일부개정조례안북구청장일자리경제과2024-02-262024-03-06주민도시위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
792692163조례안부산광역시 북구 유통기업상생발전 및 전통상업보존구역 지정 등에 관한 조례 일부개정조례안북구청장일자리경제과2024-02-262024-03-06주민도시위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-062024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
892692162조례안부산광역시 북구 영유아 보육 조례 일부개정조례안북구청장아동청소년과2024-02-262024-03-06행정복지위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
992692161동의안「문화예술플랫폼」 운영 민간위탁(재계약) 동의안북구청장문화체육과2024-02-262024-03-06행정복지위원회<NA>2024-02-282024-03-07원안가결제269회 1차2024-03-082024-03-082024-03-08원안가결제269회 2차2024-03-08<NA><NA>
대수회기의안번호의안종류안건명발의(제출)자발의(기타)발의(제출)일본회의보고일소관위원회발의의원위원회회부일위원회처리일의원회 결과위원회 회차수심사보고접수일본회의 상정일본회의처리일본회의 결과본회의 회차수이송일공포일비고
21601410조례안부산직할시북구통장자녀장학금지급조례중개정조례안북구청장<NA>1991-07-11<NA><NA><NA><NA><NA><NA>제4회 0차<NA><NA>1991-08-20원안가결제4회 0차<NA><NA>제5회
2161139기타공무원출석요구의건임종영10인1991-06-28<NA><NA>임종영<NA><NA><NA>제3회 0차<NA><NA>1991-07-02원안가결제3회 0차<NA><NA><NA>
2162138기타부산직할시북구의회의원윤리강령제정의건김명관14인1991-06-28<NA><NA>김명관<NA><NA><NA>제3회 0차<NA><NA>1991-07-02원안가결제3회 0차<NA><NA><NA>
2163137조례안부산직할시북구조례규칙등공포에관한조례중개정조례안박의승13인1991-06-26<NA><NA>박의승<NA><NA><NA>제3회 0차<NA><NA>1991-07-02원안가결제3회 0차<NA><NA><NA>
2164136조례안부산직할시북구종합토지세불균일과세에관한조례중개정조례안북구청장<NA>1991-06-27<NA><NA><NA><NA><NA><NA>제3회 0차<NA><NA>1991-07-02원안가결제3회 0차<NA><NA><NA>
2165125승인안정수물품추가취득승인안북구청장<NA>1991-05-02<NA><NA><NA><NA><NA><NA>제2회 0차<NA><NA>1991-05-08원안가결제2회 0차<NA><NA><NA>
2166124조례안부산직할시북구결산검사위원선임및운영에관한조례폐지조례안북구청장<NA>1991-05-01<NA><NA><NA><NA><NA><NA>제2회 0차<NA><NA>1991-05-07원안가결제2회 0차<NA><NA><NA>
2167113조례안부산직할시북구의회에서의증인등비용지급에관한조례안이백종9인1991-04-15<NA><NA>이백종<NA><NA><NA>제1회 0차<NA><NA>1991-04-16원안가결제1회 0차<NA><NA><NA>
2168112조례안부산직할시북구의회공청회에참가한진술인에대한실비변상조례안김정필10인1991-04-15<NA><NA>김정필<NA><NA><NA>제1회 0차<NA><NA>1991-04-16원안가결제1회 0차<NA><NA><NA>
2169111조례안부산직할시북구의회결산검사위원선임운영및실비변상조례안강신칠9인1991-04-15<NA><NA>강신칠<NA><NA><NA>제1회 0차<NA><NA>1991-04-16원안가결제1회 0차<NA><NA><NA>