Overview

Dataset statistics

Number of variables20
Number of observations2295
Missing cells5252
Missing cells (%)11.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory363.2 KiB
Average record size in memory162.1 B

Variable types

Numeric2
Text8
Categorical6
DateTime4

Dataset

Description부산진구 지방의회 의안정보(회기별 의안명, 의안정보, 발의일, 발의자 정보, 각 위원회 처리결과, 본회의 공개일자 등)
Author부산광역시 부산진구
URLhttps://www.data.go.kr/data/15067001/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
대수 is highly overall correlated with 회기 and 1 other fieldsHigh correlation
회기 is highly overall correlated with 대수High correlation
소관위원회 is highly overall correlated with 대수High correlation
위원회 처리결과 is highly overall correlated with 본회의 처리결과High correlation
본회의 처리결과 is highly overall correlated with 위원회 처리결과High correlation
발의자구분 is highly imbalanced (52.7%)Imbalance
위원회 회부일 has 218 (9.5%) missing valuesMissing
위원회 상정일 has 219 (9.5%) missing valuesMissing
위원회 의결일 has 258 (11.2%) missing valuesMissing
본회의 보고일 has 228 (9.9%) missing valuesMissing
본회의 상정일 has 168 (7.3%) missing valuesMissing
본회의 의결일 has 194 (8.5%) missing valuesMissing
공포일 has 1961 (85.4%) missing valuesMissing
공포번호 has 2006 (87.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 05:14:16.822170
Analysis finished2023-12-12 05:14:19.040562
Duration2.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Real number (ℝ)

HIGH CORRELATION 

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.4714597
Minimum1
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2023-12-12T14:14:19.084279image/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 deviation2.4960196
Coefficient of variation (CV)0.45618897
Kurtosis-1.1149013
Mean5.4714597
Median Absolute Deviation (MAD)2
Skewness-0.31408798
Sum12557
Variance6.2301136
MonotonicityIncreasing
2023-12-12T14:14:19.186363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
8 425
18.5%
7 330
14.4%
4 260
11.3%
6 248
10.8%
5 228
9.9%
9 223
9.7%
3 211
9.2%
1 201
8.8%
2 169
 
7.4%
ValueCountFrequency (%)
1 201
8.8%
2 169
 
7.4%
3 211
9.2%
4 260
11.3%
5 228
9.9%
6 248
10.8%
7 330
14.4%
8 425
18.5%
9 223
9.7%
ValueCountFrequency (%)
9 223
9.7%
8 425
18.5%
7 330
14.4%
6 248
10.8%
5 228
9.9%
4 260
11.3%
3 211
9.2%
2 169
 
7.4%
1 201
8.8%

회기
Real number (ℝ)

HIGH CORRELATION 

Distinct303
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.33333
Minimum1
Maximum337
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.3 KiB
2023-12-12T14:14:19.314322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19.7
Q1105
median212
Q3289
95-th percentile330
Maximum337
Range336
Interquartile range (IQR)184

Descriptive statistics

Standard deviation102.81709
Coefficient of variation (CV)0.52368639
Kurtosis-1.188991
Mean196.33333
Median Absolute Deviation (MAD)85
Skewness-0.3347442
Sum450585
Variance10571.355
MonotonicityNot monotonic
2023-12-12T14:14:19.497216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
319 40
 
1.7%
327 31
 
1.4%
257 29
 
1.3%
336 28
 
1.2%
161 26
 
1.1%
325 26
 
1.1%
308 25
 
1.1%
224 25
 
1.1%
296 24
 
1.0%
171 23
 
1.0%
Other values (293) 2018
87.9%
ValueCountFrequency (%)
1 11
0.5%
2 3
 
0.1%
3 2
 
0.1%
4 8
 
0.3%
5 1
 
< 0.1%
6 8
 
0.3%
7 21
0.9%
9 9
0.4%
10 7
 
0.3%
11 6
 
0.3%
ValueCountFrequency (%)
337 15
0.7%
336 28
1.2%
335 17
0.7%
333 14
0.6%
332 10
 
0.4%
331 19
0.8%
330 20
0.9%
329 8
 
0.3%
328 11
 
0.5%
327 31
1.4%

의안번호
Text

Distinct776
Distinct (%)33.8%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2023-12-12T14:14:20.006912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.740305
Min length1

Characters and Unicode

Total characters6289
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique287 ?
Unique (%)12.5%

Sample

1st row101
2nd row102
3rd row103
4th row104
5th row105
ValueCountFrequency (%)
101 7
 
0.3%
144 7
 
0.3%
102 7
 
0.3%
136 7
 
0.3%
137 7
 
0.3%
138 7
 
0.3%
139 7
 
0.3%
140 7
 
0.3%
141 7
 
0.3%
142 7
 
0.3%
Other values (766) 2225
96.9%
2023-12-12T14:14:20.831152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1171
18.6%
2 941
15.0%
3 758
12.1%
4 622
9.9%
5 549
8.7%
6 519
8.3%
0 483
7.7%
7 425
 
6.8%
8 412
 
6.6%
9 408
 
6.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6288
> 99.9%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1171
18.6%
2 941
15.0%
3 758
12.1%
4 622
9.9%
5 549
8.7%
6 519
8.3%
0 483
7.7%
7 425
 
6.8%
8 412
 
6.6%
9 408
 
6.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6289
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1171
18.6%
2 941
15.0%
3 758
12.1%
4 622
9.9%
5 549
8.7%
6 519
8.3%
0 483
7.7%
7 425
 
6.8%
8 412
 
6.6%
9 408
 
6.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6289
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1171
18.6%
2 941
15.0%
3 758
12.1%
4 622
9.9%
5 549
8.7%
6 519
8.3%
0 483
7.7%
7 425
 
6.8%
8 412
 
6.6%
9 408
 
6.5%

의안명
Text

Distinct1719
Distinct (%)74.9%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2023-12-12T14:14:21.063895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length49
Mean length27.785185
Min length5

Characters and Unicode

Total characters63767
Distinct characters427
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

Unique1482 ?
Unique (%)64.6%

Sample

1st row부산직할시부산진구의회결산검사위원선임.운영및실비변상조례안
2nd row부산직할시부산진구의회에서의증인등비용지급에관한조례안
3rd row부산직할시부산진구의회공청회에참가한진술인에대한실비변상조례안
4th row예산결산특별위원회운영의건
5th row부산직할시부산진구결산검사위원선임및운영에관한조례폐지조례안
ValueCountFrequency (%)
부산광역시 962
 
9.4%
부산진구 892
 
8.7%
일부개정조례안 593
 
5.8%
조례 508
 
5.0%
및 454
 
4.4%
관한 313
 
3.1%
조례안 271
 
2.7%
설치 129
 
1.3%
동의안 110
 
1.1%
부산진구의회 109
 
1.1%
Other values (1975) 5866
57.5%
2023-12-12T14:14:21.456861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7920
 
12.4%
부 3993
 
6.3%
산 3602
 
5.6%
조 2655
 
4.2%
례 2558
 
4.0%
구 2264
 
3.6%
안 2255
 
3.5%
정 1789
 
2.8%
진 1782
 
2.8%
시 1692
 
2.7%
Other values (417) 33257
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 53605
84.1%
Space Separator 7920
 
12.4%
Decimal Number 1903
 
3.0%
Other Punctuation 116
 
0.2%
Close Punctuation 100
 
0.2%
Open Punctuation 99
 
0.2%
Dash Punctuation 21
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Modifier Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 3993
 
7.4%
산 3602
 
6.7%
조 2655
 
5.0%
례 2558
 
4.8%
구 2264
 
4.2%
안 2255
 
4.2%
정 1789
 
3.3%
진 1782
 
3.3%
시 1692
 
3.2%
역 1613
 
3.0%
Other values (393) 29402
54.8%
Decimal Number
ValueCountFrequency (%)
2 533
28.0%
0 506
26.6%
1 375
19.7%
9 187
 
9.8%
3 89
 
4.7%
4 55
 
2.9%
6 43
 
2.3%
5 43
 
2.3%
8 38
 
2.0%
7 34
 
1.8%
Other Punctuation
ValueCountFrequency (%)
. 63
54.3%
, 26
22.4%
· 25
 
21.6%
" 2
 
1.7%
Close Punctuation
ValueCountFrequency (%)
) 91
91.0%
」 8
 
8.0%
』 1
 
1.0%
Open Punctuation
ValueCountFrequency (%)
( 90
90.9%
「 8
 
8.1%
『 1
 
1.0%
Space Separator
ValueCountFrequency (%)
7920
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 21
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 2
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 53605
84.1%
Common 10160
 
15.9%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 3993
 
7.4%
산 3602
 
6.7%
조 2655
 
5.0%
례 2558
 
4.8%
구 2264
 
4.2%
안 2255
 
4.2%
정 1789
 
3.3%
진 1782
 
3.3%
시 1692
 
3.2%
역 1613
 
3.0%
Other values (393) 29402
54.8%
Common
ValueCountFrequency (%)
7920
78.0%
2 533
 
5.2%
0 506
 
5.0%
1 375
 
3.7%
9 187
 
1.8%
) 91
 
0.9%
( 90
 
0.9%
3 89
 
0.9%
. 63
 
0.6%
4 55
 
0.5%
Other values (13) 251
 
2.5%
Latin
ValueCountFrequency (%)
e 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 53605
84.1%
ASCII 10119
 
15.9%
None 43
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7920
78.3%
2 533
 
5.3%
0 506
 
5.0%
1 375
 
3.7%
9 187
 
1.8%
) 91
 
0.9%
( 90
 
0.9%
3 89
 
0.9%
. 63
 
0.6%
4 55
 
0.5%
Other values (9) 210
 
2.1%
Hangul
ValueCountFrequency (%)
부 3993
 
7.4%
산 3602
 
6.7%
조 2655
 
5.0%
례 2558
 
4.8%
구 2264
 
4.2%
안 2255
 
4.2%
정 1789
 
3.3%
진 1782
 
3.3%
시 1692
 
3.2%
역 1613
 
3.0%
Other values (393) 29402
54.8%
None
ValueCountFrequency (%)
· 25
58.1%
」 8
 
18.6%
「 8
 
18.6%
』 1
 
2.3%
『 1
 
2.3%

의안종류
Categorical

Distinct9
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
조례안
1470 
동의안
292 
기타의안
261 
예산안
 
137
승인안
 
85
Other values (4)
 
50

Length

Max length4
Median length3
Mean length3.1137255
Min length3

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

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

Common Values

ValueCountFrequency (%)
조례안 1470
64.1%
동의안 292
 
12.7%
기타의안 261
 
11.4%
예산안 137
 
6.0%
승인안 85
 
3.7%
규칙안 39
 
1.7%
결의안 8
 
0.3%
건의안 2
 
0.1%
규정안 1
 
< 0.1%

Length

2023-12-12T14:14:21.584437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:21.711271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 1470
64.1%
동의안 292
 
12.7%
기타의안 261
 
11.4%
예산안 137
 
6.0%
승인안 85
 
3.7%
규칙안 39
 
1.7%
결의안 8
 
0.3%
건의안 2
 
0.1%
규정안 1
 
< 0.1%

발의일
Date

Distinct877
Distinct (%)38.2%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
Minimum1991-04-15 00:00:00
Maximum2023-10-20 00:00:00
2023-12-12T14:14:21.868543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:22.028677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발의자
Text

Distinct356
Distinct (%)15.5%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2023-12-12T14:14:22.357019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length91
Median length90
Mean length5.7825708
Min length2

Characters and Unicode

Total characters13271
Distinct characters140
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

Unique308 ?
Unique (%)13.4%

Sample

1st row천두식의원외7인
2nd row천두식의원외7인
3rd row천두식의원외7인
4th row이상원의원외11인
5th row부산진구청장
ValueCountFrequency (%)
구청장 1128
35.5%
부산진구청장 653
20.5%
등 154
 
4.8%
의원 141
 
4.4%
의회운영위원장 55
 
1.7%
외 42
 
1.3%
유제필 31
 
1.0%
성낙욱 31
 
1.0%
6명 30
 
0.9%
최정웅 28
 
0.9%
Other values (275) 885
27.8%
2023-12-12T14:14:22.835527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1865
14.1%
구 1796
13.5%
청 1781
13.4%
884
 
6.7%
진 692
 
5.2%
산 659
 
5.0%
부 653
 
4.9%
원 517
 
3.9%
의 486
 
3.7%
, 268
 
2.0%
Other values (130) 3670
27.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11612
87.5%
Space Separator 884
 
6.7%
Decimal Number 465
 
3.5%
Other Punctuation 269
 
2.0%
Dash Punctuation 41
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1865
16.1%
구 1796
15.5%
청 1781
15.3%
진 692
 
6.0%
산 659
 
5.7%
부 653
 
5.6%
원 517
 
4.5%
의 486
 
4.2%
외 205
 
1.8%
명 182
 
1.6%
Other values (116) 2776
23.9%
Decimal Number
ValueCountFrequency (%)
1 100
21.5%
7 75
16.1%
6 62
13.3%
8 49
10.5%
4 43
9.2%
5 43
9.2%
9 32
 
6.9%
0 27
 
5.8%
2 18
 
3.9%
3 16
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 268
99.6%
/ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
884
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11612
87.5%
Common 1659
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1865
16.1%
구 1796
15.5%
청 1781
15.3%
진 692
 
6.0%
산 659
 
5.7%
부 653
 
5.6%
원 517
 
4.5%
의 486
 
4.2%
외 205
 
1.8%
명 182
 
1.6%
Other values (116) 2776
23.9%
Common
ValueCountFrequency (%)
884
53.3%
, 268
 
16.2%
1 100
 
6.0%
7 75
 
4.5%
6 62
 
3.7%
8 49
 
3.0%
4 43
 
2.6%
5 43
 
2.6%
- 41
 
2.5%
9 32
 
1.9%
Other values (4) 62
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11612
87.5%
ASCII 1659
 
12.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1865
16.1%
구 1796
15.5%
청 1781
15.3%
진 692
 
6.0%
산 659
 
5.7%
부 653
 
5.6%
원 517
 
4.5%
의 486
 
4.2%
외 205
 
1.8%
명 182
 
1.6%
Other values (116) 2776
23.9%
ASCII
ValueCountFrequency (%)
884
53.3%
, 268
 
16.2%
1 100
 
6.0%
7 75
 
4.5%
6 62
 
3.7%
8 49
 
3.0%
4 43
 
2.6%
5 43
 
2.6%
- 41
 
2.5%
9 32
 
1.9%
Other values (4) 62
 
3.7%

발의자구분
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
구청장
1653 
의원
407 
<NA>
 
158
위원회
 
74
기타
 
2

Length

Max length4
Median length3
Mean length2.8906318
Min length2

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row의원
2nd row의원
3rd row의원
4th row의원
5th row구청장

Common Values

ValueCountFrequency (%)
구청장 1653
72.0%
의원 407
 
17.7%
<NA> 158
 
6.9%
위원회 74
 
3.2%
기타 2
 
0.1%
위원장 1
 
< 0.1%

Length

2023-12-12T14:14:23.042460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:23.259438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구청장 1653
72.0%
의원 407
 
17.7%
na 158
 
6.9%
위원회 74
 
3.2%
기타 2
 
0.1%
위원장 1
 
< 0.1%

소관위원회
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
사회도시위원회
456 
기획총무위원회
343 
행정자치위원회
286 
의회운영위원회
197 
예산결산특별위원회
168 
Other values (21)
845 

Length

Max length16
Median length7
Mean length6.8422658
Min length1

Unique

Unique2 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
사회도시위원회 456
19.9%
기획총무위원회 343
14.9%
행정자치위원회 286
12.5%
의회운영위원회 197
8.6%
예산결산특별위원회 168
 
7.3%
총무위원회 164
 
7.1%
안전복지위원회 98
 
4.3%
문화복지위원회 94
 
4.1%
행정문화위원회 92
 
4.0%
주민복지위원회 82
 
3.6%
Other values (16) 315
13.7%

Length

2023-12-12T14:14:23.417589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회도시위원회 456
20.0%
기획총무위원회 343
15.1%
행정자치위원회 286
12.6%
의회운영위원회 197
8.6%
예산결산특별위원회 168
 
7.4%
총무위원회 164
 
7.2%
안전복지위원회 98
 
4.3%
문화복지위원회 94
 
4.1%
행정문화위원회 92
 
4.0%
주민복지위원회 82
 
3.6%
Other values (15) 298
13.1%

위원회 회부일
Text

MISSING 

Distinct694
Distinct (%)33.4%
Missing218
Missing (%)9.5%
Memory size18.1 KiB
2023-12-12T14:14:23.844300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters20770
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique337 ?
Unique (%)16.2%

Sample

1st row1991-07-05
2nd row1991-07-27
3rd row1991-11-11
4th row1991-11-11
5th row1991-11-11
ValueCountFrequency (%)
2023-09-01 24
 
1.2%
2022-09-07 21
 
1.0%
2015-11-06 21
 
1.0%
2022-11-08 20
 
1.0%
2019-10-08 18
 
0.9%
2011-11-16 18
 
0.9%
2014-11-07 18
 
0.9%
2009-04-15 16
 
0.8%
2015-06-05 15
 
0.7%
2018-04-30 15
 
0.7%
Other values (684) 1891
91.0%
2023-12-12T14:14:24.452457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4871
23.5%
- 4154
20.0%
1 3687
17.8%
2 3267
15.7%
9 1368
 
6.6%
3 627
 
3.0%
7 590
 
2.8%
8 578
 
2.8%
6 559
 
2.7%
5 555
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16616
80.0%
Dash Punctuation 4154
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4871
29.3%
1 3687
22.2%
2 3267
19.7%
9 1368
 
8.2%
3 627
 
3.8%
7 590
 
3.6%
8 578
 
3.5%
6 559
 
3.4%
5 555
 
3.3%
4 514
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 4154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20770
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4871
23.5%
- 4154
20.0%
1 3687
17.8%
2 3267
15.7%
9 1368
 
6.6%
3 627
 
3.0%
7 590
 
2.8%
8 578
 
2.8%
6 559
 
2.7%
5 555
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20770
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4871
23.5%
- 4154
20.0%
1 3687
17.8%
2 3267
15.7%
9 1368
 
6.6%
3 627
 
3.0%
7 590
 
2.8%
8 578
 
2.8%
6 559
 
2.7%
5 555
 
2.7%

위원회 상정일
Date

MISSING 

Distinct595
Distinct (%)28.7%
Missing219
Missing (%)9.5%
Memory size18.1 KiB
Minimum1991-07-05 00:00:00
Maximum2023-10-19 00:00:00
2023-12-12T14:14:24.660238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:24.820960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회 의결일
Text

MISSING 

Distinct597
Distinct (%)29.3%
Missing258
Missing (%)11.2%
Memory size18.1 KiB
2023-12-12T14:14:25.158302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters20370
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique235 ?
Unique (%)11.5%

Sample

1st row1991-07-05
2nd row1991-07-30
3rd row1991-11-13
4th row1991-11-14
5th row1991-11-14
ValueCountFrequency (%)
2023-09-15 25
 
1.2%
2022-09-21 20
 
1.0%
2018-05-10 18
 
0.9%
2009-04-23 18
 
0.9%
2022-11-16 18
 
0.9%
2019-10-18 18
 
0.9%
2023-03-23 17
 
0.8%
2023-07-24 15
 
0.7%
2015-06-17 14
 
0.7%
2020-11-17 14
 
0.7%
Other values (587) 1860
91.3%
2023-12-12T14:14:25.694369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4380
21.5%
- 4074
20.0%
2 3804
18.7%
1 3345
16.4%
9 1420
 
7.0%
7 654
 
3.2%
6 631
 
3.1%
3 601
 
3.0%
5 538
 
2.6%
4 509
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16296
80.0%
Dash Punctuation 4074
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4380
26.9%
2 3804
23.3%
1 3345
20.5%
9 1420
 
8.7%
7 654
 
4.0%
6 631
 
3.9%
3 601
 
3.7%
5 538
 
3.3%
4 509
 
3.1%
8 414
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 4074
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20370
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4380
21.5%
- 4074
20.0%
2 3804
18.7%
1 3345
16.4%
9 1420
 
7.0%
7 654
 
3.2%
6 631
 
3.1%
3 601
 
3.0%
5 538
 
2.6%
4 509
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20370
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4380
21.5%
- 4074
20.0%
2 3804
18.7%
1 3345
16.4%
9 1420
 
7.0%
7 654
 
3.2%
6 631
 
3.1%
3 601
 
3.0%
5 538
 
2.6%
4 509
 
2.5%

위원회 처리결과
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)1.0%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
원안가결
990 
원안의결
407 
수정가결
368 
수정의결
133 
계류중
 
96
Other values (19)
301 

Length

Max length16
Median length4
Mean length3.9655773
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 990
43.1%
원안의결 407
17.7%
수정가결 368
 
16.0%
수정의결 133
 
5.8%
계류중 96
 
4.2%
본회의직상 74
 
3.2%
부결 45
 
2.0%
원안채택 31
 
1.4%
의견서채택 28
 
1.2%
보류 28
 
1.2%
Other values (14) 95
 
4.1%

Length

2023-12-12T14:14:25.903773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 990
42.8%
원안의결 407
17.6%
수정가결 368
 
15.9%
수정의결 133
 
5.8%
계류중 96
 
4.2%
본회의직상 74
 
3.2%
부결 45
 
1.9%
원안채택 31
 
1.3%
의견서채택 28
 
1.2%
보류 28
 
1.2%
Other values (17) 113
 
4.9%

본회의 보고일
Date

MISSING 

Distinct640
Distinct (%)31.0%
Missing228
Missing (%)9.9%
Memory size18.1 KiB
Minimum1991-04-15 00:00:00
Maximum2023-12-16 00:00:00
2023-12-12T14:14:26.092400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:26.315156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 상정일
Text

MISSING 

Distinct439
Distinct (%)20.6%
Missing168
Missing (%)7.3%
Memory size18.1 KiB
2023-12-12T14:14:26.761637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters21270
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique121 ?
Unique (%)5.7%

Sample

1st row1991-04-16
2nd row1991-04-16
3rd row1991-04-16
4th row1991-05-11
5th row1991-05-11
ValueCountFrequency (%)
2022-09-30 25
 
1.2%
2023-09-18 24
 
1.1%
2022-01-21 23
 
1.1%
2023-03-27 20
 
0.9%
2018-05-18 20
 
0.9%
2012-12-13 18
 
0.8%
2022-11-24 18
 
0.8%
2019-10-22 18
 
0.8%
2021-11-24 17
 
0.8%
2009-04-24 17
 
0.8%
Other values (429) 1927
90.6%
2023-12-12T14:14:27.253063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4366
20.5%
2 4327
20.3%
- 4254
20.0%
1 3302
15.5%
9 1531
 
7.2%
3 748
 
3.5%
7 601
 
2.8%
5 598
 
2.8%
6 544
 
2.6%
4 532
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 17016
80.0%
Dash Punctuation 4254
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4366
25.7%
2 4327
25.4%
1 3302
19.4%
9 1531
 
9.0%
3 748
 
4.4%
7 601
 
3.5%
5 598
 
3.5%
6 544
 
3.2%
4 532
 
3.1%
8 467
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 4254
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 21270
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4366
20.5%
2 4327
20.3%
- 4254
20.0%
1 3302
15.5%
9 1531
 
7.2%
3 748
 
3.5%
7 601
 
2.8%
5 598
 
2.8%
6 544
 
2.6%
4 532
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 21270
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4366
20.5%
2 4327
20.3%
- 4254
20.0%
1 3302
15.5%
9 1531
 
7.2%
3 748
 
3.5%
7 601
 
2.8%
5 598
 
2.8%
6 544
 
2.6%
4 532
 
2.5%

본회의 의결일
Date

MISSING 

Distinct435
Distinct (%)20.7%
Missing194
Missing (%)8.5%
Memory size18.1 KiB
Minimum1961-12-21 00:00:00
Maximum2023-10-20 00:00:00
2023-12-12T14:14:27.434765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:27.607414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
원안의결
900 
원안가결
636 
수정가결
270 
수정의결
233 
<NA>
 
87
Other values (11)
169 

Length

Max length6
Median length4
Mean length3.9803922
Min length2

Unique

Unique3 ?
Unique (%)0.1%

Sample

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

Common Values

ValueCountFrequency (%)
원안의결 900
39.2%
원안가결 636
27.7%
수정가결 270
 
11.8%
수정의결 233
 
10.2%
<NA> 87
 
3.8%
계류중 64
 
2.8%
원안채택 43
 
1.9%
의견서채택 29
 
1.3%
임기만료폐기 13
 
0.6%
부결 6
 
0.3%
Other values (6) 14
 
0.6%

Length

2023-12-12T14:14:27.778151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안의결 900
39.2%
원안가결 636
27.7%
수정가결 270
 
11.8%
수정의결 233
 
10.2%
na 87
 
3.8%
계류중 64
 
2.8%
원안채택 43
 
1.9%
의견서채택 29
 
1.3%
임기만료폐기 13
 
0.6%
부결 6
 
0.3%
Other values (6) 14
 
0.6%

공포일
Text

MISSING 

Distinct101
Distinct (%)30.2%
Missing1961
Missing (%)85.4%
Memory size18.1 KiB
2023-12-12T14:14:28.076916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters3340
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique39 ?
Unique (%)11.7%

Sample

1st row1991-04-23
2nd row1991-04-23
3rd row1991-04-23
4th row1991-12-31
5th row1991-12-31
ValueCountFrequency (%)
1991-12-31 14
 
4.2%
1996-12-27 11
 
3.3%
1994-08-01 10
 
3.0%
1999-07-31 10
 
3.0%
2000-09-29 9
 
2.7%
1995-06-07 7
 
2.1%
1997-12-31 7
 
2.1%
1996-07-22 7
 
2.1%
2000-02-25 7
 
2.1%
1997-02-28 7
 
2.1%
Other values (91) 245
73.4%
2023-12-12T14:14:28.545643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 668
20.0%
1 667
20.0%
9 660
19.8%
0 472
14.1%
2 303
9.1%
3 113
 
3.4%
7 109
 
3.3%
4 96
 
2.9%
8 93
 
2.8%
5 88
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2672
80.0%
Dash Punctuation 668
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 667
25.0%
9 660
24.7%
0 472
17.7%
2 303
11.3%
3 113
 
4.2%
7 109
 
4.1%
4 96
 
3.6%
8 93
 
3.5%
5 88
 
3.3%
6 71
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 668
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3340
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 668
20.0%
1 667
20.0%
9 660
19.8%
0 472
14.1%
2 303
9.1%
3 113
 
3.4%
7 109
 
3.3%
4 96
 
2.9%
8 93
 
2.8%
5 88
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3340
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 668
20.0%
1 667
20.0%
9 660
19.8%
0 472
14.1%
2 303
9.1%
3 113
 
3.4%
7 109
 
3.3%
4 96
 
2.9%
8 93
 
2.8%
5 88
 
2.6%

공포번호
Text

MISSING 

Distinct286
Distinct (%)99.0%
Missing2006
Missing (%)87.4%
Memory size18.1 KiB
2023-12-12T14:14:28.958228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.8269896
Min length1

Characters and Unicode

Total characters1106
Distinct characters17
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

Unique283 ?
Unique (%)97.9%

Sample

1st row229
2nd row230
3rd row231
4th row239
5th row240
ValueCountFrequency (%)
조례 3
 
1.0%
267 2
 
0.7%
제115 2
 
0.7%
264 2
 
0.7%
제495호 1
 
0.3%
제423호 1
 
0.3%
제428호 1
 
0.3%
제429호 1
 
0.3%
제427호 1
 
0.3%
제426호 1
 
0.3%
Other values (278) 278
94.9%
2023-12-12T14:14:29.577201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4 162
14.6%
3 150
13.6%
제 118
10.7%
호 115
10.4%
2 112
10.1%
5 80
7.2%
6 61
 
5.5%
8 60
 
5.4%
7 59
 
5.3%
9 58
 
5.2%
Other values (7) 131
11.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 855
77.3%
Other Letter 247
 
22.3%
Space Separator 4
 
0.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.1%
5 80
9.4%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Other Letter
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 859
77.7%
Hangul 247
 
22.3%

Most frequent character per script

Common
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.0%
5 80
9.3%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Hangul
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 859
77.7%
Hangul 247
 
22.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4 162
18.9%
3 150
17.5%
2 112
13.0%
5 80
9.3%
6 61
 
7.1%
8 60
 
7.0%
7 59
 
6.9%
9 58
 
6.8%
0 58
 
6.8%
1 55
 
6.4%
Hangul
ValueCountFrequency (%)
제 118
47.8%
호 115
46.6%
례 4
 
1.6%
조 4
 
1.6%
규 3
 
1.2%
칙 3
 
1.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.1 KiB
2023-12-04
2295 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-12-04
2nd row2023-12-04
3rd row2023-12-04
4th row2023-12-04
5th row2023-12-04

Common Values

ValueCountFrequency (%)
2023-12-04 2295
100.0%

Length

2023-12-12T14:14:29.768501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T14:14:29.885170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-12-04 2295
100.0%

Interactions

2023-12-12T14:14:18.133679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:17.908487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:18.247724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T14:14:18.025447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T14:14:29.979831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수회기의안종류발의자구분소관위원회위원회 처리결과본회의 처리결과
대수1.0000.9580.2770.2370.8710.6320.644
회기0.9581.0000.2430.3370.8330.6660.675
의안종류0.2770.2431.0000.3620.7930.5760.533
발의자구분0.2370.3370.3621.0000.7290.7220.404
소관위원회0.8710.8330.7930.7291.0000.7720.673
위원회 처리결과0.6320.6660.5760.7220.7721.0000.942
본회의 처리결과0.6440.6750.5330.4040.6730.9421.000
2023-12-12T14:14:30.132525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관위원회의안종류위원회 처리결과발의자구분본회의 처리결과
소관위원회1.0000.4450.3050.4520.270
의안종류0.4451.0000.2630.2180.248
위원회 처리결과0.3050.2631.0000.4570.684
발의자구분0.4520.2180.4571.0000.183
본회의 처리결과0.2700.2480.6840.1831.000
2023-12-12T14:14:30.273883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수회기의안종류발의자구분소관위원회위원회 처리결과본회의 처리결과
대수1.0000.9790.0920.1390.5620.3020.326
회기0.9791.0000.1130.1460.4870.3160.325
의안종류0.0920.1131.0000.2180.4450.2630.248
발의자구분0.1390.1460.2181.0000.4520.4570.183
소관위원회0.5620.4870.4450.4521.0000.3050.270
위원회 처리결과0.3020.3160.2630.4570.3051.0000.684
본회의 처리결과0.3260.3250.2480.1830.2700.6841.000

Missing values

2023-12-12T14:14:18.405350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T14:14:18.666224image/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.
2023-12-12T14:14:18.916151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

대수회기의안번호의안명의안종류발의일발의자발의자구분소관위원회위원회 회부일위원회 상정일위원회 의결일위원회 처리결과본회의 보고일본회의 상정일본회의 의결일본회의 처리결과공포일공포번호데이터기준일자
011101부산직할시부산진구의회결산검사위원선임.운영및실비변상조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232292023-12-04
111102부산직할시부산진구의회에서의증인등비용지급에관한조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232302023-12-04
211103부산직할시부산진구의회공청회에참가한진술인에대한실비변상조례안조례안1991-04-15천두식의원외7인의원본회의<NA><NA><NA>본회의직상1991-04-151991-04-161991-04-16원안의결1991-04-232312023-12-04
312104예산결산특별위원회운영의건기타의안1991-05-02이상원의원외11인의원본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2023-12-04
412105부산직할시부산진구결산검사위원선임및운영에관한조례폐지조례안조례안1991-05-04부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2023-12-04
512106공유재산관리계획변경승인안동의안1991-05-04부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-05-111991-05-111991-05-11원안의결<NA><NA>2023-12-04
613107구정질문을위한구청장및관계공무원출석요구의건기타의안1991-06-25김영재의원외9인의원본회의<NA><NA><NA>본회의직상1991-07-041991-07-041991-07-04원안의결<NA><NA>2023-12-04
7131081990회계년도세입.세출결산승인안승인안1991-06-28부산진구청장구청장예산결산특별위원회1991-07-051991-07-051991-07-05원안가결1991-07-081991-07-081991-07-08원안의결<NA><NA>2023-12-04
814109부산직할시부산진구통장자녀장학금지급조례중개정조례안조례안1991-07-16부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-07-251991-07-251991-07-25원안의결<NA><NA>2023-12-04
914110부산직할시부산진구공공용지에편입된사권제한토지에대한종합토지세불균일과세에관한조례중개정조례안조례안1991-07-16부산진구청장구청장본회의<NA><NA><NA>본회의직상1991-07-251991-07-251991-07-25원안의결<NA><NA>2023-12-04
대수회기의안번호의안명의안종류발의일발의자발의자구분소관위원회위원회 회부일위원회 상정일위원회 의결일위원회 처리결과본회의 보고일본회의 상정일본회의 의결일본회의 처리결과공포일공포번호데이터기준일자
22859337214부산광역시 부산진구 공공도서관 설치 및 운영 조례안조례안2023-10-06구청장구청장안전복지위원회2023-10-102023-10-192023-10-19부결<NA><NA><NA><NA><NA><NA>2023-12-04
22869337215부산광역시 부산진구 청년 기본 조례 일부개정조례안조례안2023-09-27오우택 의원- 손재호, 김민경, 강도희, 최정웅, 김진복, 강지백, 한갑용, 유제필, 안수만, 성현옥의원행정문화위원회2023-09-272023-10-192023-10-19수정가결2023-10-192023-10-202023-10-20수정가결<NA><NA>2023-12-04
22879337216부산광역시 부산진구 생활폐기물 수집·운반 대행업체 평가 조례 일부개정조례안조례안2023-10-06구청장구청장행정문화위원회2023-10-102023-10-192023-10-19원안가결2023-10-192023-10-202023-10-20원안가결<NA><NA>2023-12-04
22889337217(재)부산진구장학회 예산 출연 동의안동의안2023-10-06구청장구청장안전복지위원회2023-10-102023-10-192023-10-19원안가결2023-10-192023-10-202023-10-20원안가결<NA><NA>2023-12-04
22899337218부산광역시 부산진구 보증채무관리 조례 일부개정조례안조례안2023-10-06구청장구청장행정문화위원회2023-10-102023-10-192023-10-19원안가결2023-10-192023-10-202023-10-20원안가결<NA><NA>2023-12-04
229093372192024년 (재)부산진문화재단 출연 동의안동의안2023-10-10구청장구청장행정문화위원회2023-10-102023-10-192023-10-19원안가결2023-10-192023-10-202023-10-20원안가결<NA><NA>2023-12-04
22919337220부산광역시 부산진구 백양문화예술회관 운영 조례안조례안2023-10-06구청장구청장행정문화위원회2023-10-102023-10-192023-10-19수정가결2023-10-192023-10-202023-10-20수정가결<NA><NA>2023-12-04
22929337221부산광역시 부산진구의회 교섭단체 구성 및 운영 조례안조례안2023-10-18의회운영위원장위원회본회의 직상정<NA><NA><NA>계류중2023-10-182023-10-202023-10-20원안가결<NA><NA>2023-12-04
22939337222부산광역시 부산진구의회 기본 조례 일부개정조례안조례안2023-10-18의회운영위원장위원회본회의 직상정<NA><NA><NA>계류중2023-10-182023-10-202023-10-20원안가결<NA><NA>2023-12-04
229493372232023년도 행정사무감사계획서 승인의 건승인안2023-10-20의회운영위원장위원장본회의 직상정<NA><NA><NA>계류중2023-10-202023-10-202023-10-20원안가결<NA><NA>2023-12-04