Overview

Dataset statistics

Number of variables10
Number of observations928
Missing cells9
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory74.4 KiB
Average record size in memory82.1 B

Variable types

Numeric2
Text3
Categorical3
DateTime2

Dataset

Description지방의회 의안정보(의안번호, 발의자, 결과 등)부산광역시 연제구 지방의회 의안정보에 대한 데이터로 의안번호, 발의자, 결과 등의 항목을 제공합니다.
Author부산광역시 연제구
URLhttps://www.data.go.kr/data/15087982/fileData.do

Alerts

번호 is highly overall correlated with 회수 and 1 other fieldsHigh correlation
회수 is highly overall correlated with 번호High correlation
대 is highly overall correlated with 번호High correlation
처리결과 is highly imbalanced (65.4%)Imbalance
회수 is highly skewed (γ1 = 20.70352915)Skewed
번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:05:37.242407
Analysis finished2023-12-12 15:05:38.387205
Duration1.14 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct928
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean464.5
Minimum1
Maximum928
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T00:05:38.461406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile47.35
Q1232.75
median464.5
Q3696.25
95-th percentile881.65
Maximum928
Range927
Interquartile range (IQR)463.5

Descriptive statistics

Standard deviation268.03482
Coefficient of variation (CV)0.57703945
Kurtosis-1.2
Mean464.5
Median Absolute Deviation (MAD)232
Skewness0
Sum431056
Variance71842.667
MonotonicityStrictly increasing
2023-12-13T00:05:38.609892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
625 1
 
0.1%
613 1
 
0.1%
614 1
 
0.1%
615 1
 
0.1%
616 1
 
0.1%
617 1
 
0.1%
618 1
 
0.1%
619 1
 
0.1%
620 1
 
0.1%
Other values (918) 918
98.9%
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 (%)
928 1
0.1%
927 1
0.1%
926 1
0.1%
925 1
0.1%
924 1
0.1%
923 1
0.1%
922 1
0.1%
921 1
0.1%
920 1
0.1%
919 1
0.1%

의안번호
Text

Distinct561
Distinct (%)60.5%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T00:05:39.068361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9137931
Min length1

Characters and Unicode

Total characters2704
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

Unique290 ?
Unique (%)31.2%

Sample

1st row240
2nd row237
3rd row236
4th row235
5th row234
ValueCountFrequency (%)
102 3
 
0.3%
89 3
 
0.3%
40 3
 
0.3%
112 3
 
0.3%
116 3
 
0.3%
118 3
 
0.3%
119 3
 
0.3%
17 3
 
0.3%
16 3
 
0.3%
15 3
 
0.3%
Other values (551) 898
96.8%
2023-12-13T00:05:39.735073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 504
18.6%
2 376
13.9%
3 357
13.2%
4 288
10.7%
5 218
8.1%
9 184
 
6.8%
6 184
 
6.8%
8 183
 
6.8%
0 181
 
6.7%
7 168
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2643
97.7%
Dash Punctuation 61
 
2.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 504
19.1%
2 376
14.2%
3 357
13.5%
4 288
10.9%
5 218
8.2%
9 184
 
7.0%
6 184
 
7.0%
8 183
 
6.9%
0 181
 
6.8%
7 168
 
6.4%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2704
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 504
18.6%
2 376
13.9%
3 357
13.2%
4 288
10.7%
5 218
8.1%
9 184
 
6.8%
6 184
 
6.8%
8 183
 
6.8%
0 181
 
6.7%
7 168
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2704
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 504
18.6%
2 376
13.9%
3 357
13.2%
4 288
10.7%
5 218
8.1%
9 184
 
6.8%
6 184
 
6.8%
8 183
 
6.8%
0 181
 
6.7%
7 168
 
6.2%

소관위원회
Categorical

Distinct16
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
사회도시위원회
217 
기획행정위원회
202 
경제행정위원회
142 
의회운영위원회
91 
안전복지위원회
66 
Other values (11)
210 

Length

Max length10
Median length7
Mean length6.8739224
Min length3

Unique

Unique5 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
사회도시위원회 217
23.4%
기획행정위원회 202
21.8%
경제행정위원회 142
15.3%
의회운영위원회 91
9.8%
안전복지위원회 66
 
7.1%
행복도시위원회 66
 
7.1%
예산결산특별위원회 65
 
7.0%
본회의 32
 
3.4%
의회운영 20
 
2.2%
행복도시 12
 
1.3%
Other values (6) 15
 
1.6%

Length

2023-12-13T00:05:39.899962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
사회도시위원회 217
23.4%
기획행정위원회 202
21.7%
경제행정위원회 142
15.3%
의회운영위원회 91
9.8%
안전복지위원회 66
 
7.1%
행복도시위원회 66
 
7.1%
예산결산특별위원회 65
 
7.0%
본회의 32
 
3.4%
의회운영 20
 
2.2%
행복도시 13
 
1.4%
Other values (5) 15
 
1.6%

대
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
8대
434 
7대
310 
9대
178 
6대
 
6

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9대
2nd row9대
3rd row9대
4th row9대
5th row9대

Common Values

ValueCountFrequency (%)
8대 434
46.8%
7대 310
33.4%
9대 178
19.2%
6대 6
 
0.6%

Length

2023-12-13T00:05:40.030752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:40.140217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
8대 434
46.8%
7대 310
33.4%
9대 178
19.2%
6대 6
 
0.6%

회수
Real number (ℝ)

HIGH CORRELATION  SKEWED 

Distinct75
Distinct (%)8.1%
Missing4
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean220.45779
Minimum122
Maximum2015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.3 KiB
2023-12-13T00:05:40.261845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum122
5-th percentile185.15
Q1197
median219
Q3235
95-th percentile246
Maximum2015
Range1893
Interquartile range (IQR)38

Descriptive statistics

Standard deviation70.502648
Coefficient of variation (CV)0.31980112
Kurtosis493.44734
Mean220.45779
Median Absolute Deviation (MAD)18
Skewness20.703529
Sum203703
Variance4970.6234
MonotonicityNot monotonic
2023-12-13T00:05:40.436512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
235 44
 
4.7%
191 39
 
4.2%
247 36
 
3.9%
190 35
 
3.8%
241 30
 
3.2%
240 29
 
3.1%
219 28
 
3.0%
192 26
 
2.8%
218 26
 
2.8%
227 26
 
2.8%
Other values (65) 605
65.2%
ValueCountFrequency (%)
122 1
 
0.1%
154 1
 
0.1%
164 1
 
0.1%
178 6
 
0.6%
181 5
 
0.5%
182 1
 
0.1%
183 5
 
0.5%
184 7
 
0.8%
185 20
2.2%
186 9
1.0%
ValueCountFrequency (%)
2015 1
 
0.1%
1188 1
 
0.1%
370 1
 
0.1%
287 1
 
0.1%
285 1
 
0.1%
251 1
 
0.1%
247 36
3.9%
246 14
 
1.5%
245 14
 
1.5%
244 16
1.7%

의안명
Text

Distinct801
Distinct (%)86.3%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T00:05:40.785974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length71
Median length53
Mean length30.423491
Min length10

Characters and Unicode

Total characters28233
Distinct characters400
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique727 ?
Unique (%)78.3%

Sample

1st row2023년도 행정사무감사계획서 승인의 건
2nd row부산광역시 연제구의회 지방공무원 인사 규칙 일부개정규칙안
3rd row부산광역시 연제구의회 별정직공무원 자진퇴직수당 지급에 관한 규칙 일부개정규칙안
4th row부산광역시 연제구의회 지방공무원 명예퇴직수당 등 지급에 관한 규칙 일부개정규칙안
5th row부산광역시 연제구의회 비위공직자의 의원면직 처리 제한에 관한 규칙 일부개정규칙안
ValueCountFrequency (%)
부산광역시 690
 
11.4%
연제구 623
 
10.3%
조례 346
 
5.7%
일부개정조례안 293
 
4.9%
관한 260
 
4.3%
및 240
 
4.0%
조례안 237
 
3.9%
연제구의회 87
 
1.4%
건 81
 
1.3%
설치 77
 
1.3%
Other values (1086) 3107
51.4%
2023-12-13T00:05:41.306707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5192
 
18.4%
부 1110
 
3.9%
조 1040
 
3.7%
례 1008
 
3.6%
구 923
 
3.3%
안 918
 
3.3%
제 895
 
3.2%
연 886
 
3.1%
산 831
 
2.9%
시 800
 
2.8%
Other values (390) 14630
51.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22030
78.0%
Space Separator 5192
 
18.4%
Decimal Number 669
 
2.4%
Lowercase Letter 110
 
0.4%
Other Punctuation 104
 
0.4%
Close Punctuation 63
 
0.2%
Open Punctuation 63
 
0.2%
Modifier Symbol 1
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 1110
 
5.0%
조 1040
 
4.7%
례 1008
 
4.6%
구 923
 
4.2%
안 918
 
4.2%
제 895
 
4.1%
연 886
 
4.0%
산 831
 
3.8%
시 800
 
3.6%
역 772
 
3.5%
Other values (355) 12847
58.3%
Decimal Number
ValueCountFrequency (%)
2 241
36.0%
0 161
24.1%
1 128
19.1%
3 39
 
5.8%
6 23
 
3.4%
5 19
 
2.8%
9 19
 
2.8%
4 14
 
2.1%
7 13
 
1.9%
8 12
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
d 30
27.3%
o 19
17.3%
i 15
13.6%
m 15
13.6%
t 15
13.6%
s 4
 
3.6%
q 4
 
3.6%
u 4
 
3.6%
l 2
 
1.8%
r 2
 
1.8%
Other Punctuation
ValueCountFrequency (%)
· 40
38.5%
; 19
18.3%
& 19
18.3%
? 11
 
10.6%
, 11
 
10.6%
. 4
 
3.8%
Close Punctuation
ValueCountFrequency (%)
) 49
77.8%
」 13
 
20.6%
] 1
 
1.6%
Open Punctuation
ValueCountFrequency (%)
( 49
77.8%
「 13
 
20.6%
[ 1
 
1.6%
Space Separator
ValueCountFrequency (%)
5192
100.0%
Modifier Symbol
ValueCountFrequency (%)
˙ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22030
78.0%
Common 6093
 
21.6%
Latin 110
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 1110
 
5.0%
조 1040
 
4.7%
례 1008
 
4.6%
구 923
 
4.2%
안 918
 
4.2%
제 895
 
4.1%
연 886
 
4.0%
산 831
 
3.8%
시 800
 
3.6%
역 772
 
3.5%
Other values (355) 12847
58.3%
Common
ValueCountFrequency (%)
5192
85.2%
2 241
 
4.0%
0 161
 
2.6%
1 128
 
2.1%
) 49
 
0.8%
( 49
 
0.8%
· 40
 
0.7%
3 39
 
0.6%
6 23
 
0.4%
5 19
 
0.3%
Other values (15) 152
 
2.5%
Latin
ValueCountFrequency (%)
d 30
27.3%
o 19
17.3%
i 15
13.6%
m 15
13.6%
t 15
13.6%
s 4
 
3.6%
q 4
 
3.6%
u 4
 
3.6%
l 2
 
1.8%
r 2
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22023
78.0%
ASCII 6136
 
21.7%
None 66
 
0.2%
Compat Jamo 7
 
< 0.1%
Modifier Letters 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5192
84.6%
2 241
 
3.9%
0 161
 
2.6%
1 128
 
2.1%
) 49
 
0.8%
( 49
 
0.8%
3 39
 
0.6%
d 30
 
0.5%
6 23
 
0.4%
5 19
 
0.3%
Other values (21) 205
 
3.3%
Hangul
ValueCountFrequency (%)
부 1110
 
5.0%
조 1040
 
4.7%
례 1008
 
4.6%
구 923
 
4.2%
안 918
 
4.2%
제 895
 
4.1%
연 886
 
4.0%
산 831
 
3.8%
시 800
 
3.6%
역 772
 
3.5%
Other values (354) 12840
58.3%
None
ValueCountFrequency (%)
· 40
60.6%
」 13
 
19.7%
「 13
 
19.7%
Compat Jamo
ValueCountFrequency (%)
ㆍ 7
100.0%
Modifier Letters
ValueCountFrequency (%)
˙ 1
100.0%

발의(제출)일
Date

Distinct251
Distinct (%)27.0%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
Minimum2011-05-16 00:00:00
Maximum2023-09-12 00:00:00
2023-12-13T00:05:41.486568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:05:41.664737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

발의(제출)자
Text

Distinct152
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
2023-12-13T00:05:41.892393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.6163793
Min length2

Characters and Unicode

Total characters4284
Distinct characters89
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

Unique96 ?
Unique (%)10.3%

Sample

1st row의회운영위원장
2nd row의회운영위원장
3rd row의회운영위원장
4th row의회운영위원장
5th row의회운영위원장
ValueCountFrequency (%)
구청장 414
37.0%
연제구청장 154
 
13.8%
외 73
 
6.5%
의회운영위원장 61
 
5.5%
의원 26
 
2.3%
의회운영위원회 20
 
1.8%
7 18
 
1.6%
정홍숙외3 17
 
1.5%
김용을 13
 
1.2%
10 10
 
0.9%
Other values (122) 312
27.9%
2023-12-13T00:05:42.291770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 640
14.9%
구 568
13.3%
청 568
13.3%
외 253
 
5.9%
190
 
4.4%
연 163
 
3.8%
제 157
 
3.7%
의 127
 
3.0%
원 127
 
3.0%
회 115
 
2.7%
Other values (79) 1376
32.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3813
89.0%
Decimal Number 274
 
6.4%
Space Separator 190
 
4.4%
Other Punctuation 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 640
16.8%
구 568
14.9%
청 568
14.9%
외 253
 
6.6%
연 163
 
4.3%
제 157
 
4.1%
의 127
 
3.3%
원 127
 
3.3%
회 115
 
3.0%
위 96
 
2.5%
Other values (66) 999
26.2%
Decimal Number
ValueCountFrequency (%)
3 50
18.2%
4 45
16.4%
2 38
13.9%
5 25
9.1%
6 24
8.8%
7 24
8.8%
0 21
7.7%
1 21
7.7%
8 19
 
6.9%
9 7
 
2.6%
Other Punctuation
ValueCountFrequency (%)
, 6
85.7%
. 1
 
14.3%
Space Separator
ValueCountFrequency (%)
190
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3813
89.0%
Common 471
 
11.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 640
16.8%
구 568
14.9%
청 568
14.9%
외 253
 
6.6%
연 163
 
4.3%
제 157
 
4.1%
의 127
 
3.3%
원 127
 
3.3%
회 115
 
3.0%
위 96
 
2.5%
Other values (66) 999
26.2%
Common
ValueCountFrequency (%)
190
40.3%
3 50
 
10.6%
4 45
 
9.6%
2 38
 
8.1%
5 25
 
5.3%
6 24
 
5.1%
7 24
 
5.1%
0 21
 
4.5%
1 21
 
4.5%
8 19
 
4.0%
Other values (3) 14
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3813
89.0%
ASCII 471
 
11.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 640
16.8%
구 568
14.9%
청 568
14.9%
외 253
 
6.6%
연 163
 
4.3%
제 157
 
4.1%
의 127
 
3.3%
원 127
 
3.3%
회 115
 
3.0%
위 96
 
2.5%
Other values (66) 999
26.2%
ASCII
ValueCountFrequency (%)
190
40.3%
3 50
 
10.6%
4 45
 
9.6%
2 38
 
8.1%
5 25
 
5.3%
6 24
 
5.1%
7 24
 
5.1%
0 21
 
4.5%
1 21
 
4.5%
8 19
 
4.0%
Other values (3) 14
 
3.0%

심의일자
Date

Distinct225
Distinct (%)24.4%
Missing5
Missing (%)0.5%
Memory size7.4 KiB
Minimum2011-05-16 00:00:00
Maximum2023-09-14 00:00:00
2023-12-13T00:05:42.447795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:05:42.606826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리결과
Categorical

IMBALANCE 

Distinct6
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size7.4 KiB
원안가결
755 
수정가결
138 
철회
 
15
계류
 
13
미선택
 
5

Length

Max length4
Median length4
Mean length3.9342672
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 755
81.4%
수정가결 138
 
14.9%
철회 15
 
1.6%
계류 13
 
1.4%
미선택 5
 
0.5%
의견제시 2
 
0.2%

Length

2023-12-13T00:05:42.759229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:05:42.872708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 755
81.4%
수정가결 138
 
14.9%
철회 15
 
1.6%
계류 13
 
1.4%
미선택 5
 
0.5%
의견제시 2
 
0.2%

Interactions

2023-12-13T00:05:37.925142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:05:37.758860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:05:38.011386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:05:37.837829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:05:42.977736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호소관위원회대회수처리결과
번호1.0000.7300.9030.0170.158
소관위원회0.7301.0000.7950.0000.402
대0.9030.7951.0000.0000.064
회수0.0170.0000.0001.0000.218
처리결과0.1580.4020.0640.2181.000
2023-12-13T00:05:43.094170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
처리결과소관위원회대
처리결과1.0000.2040.041
소관위원회0.2041.0000.491
대0.0410.4911.000
2023-12-13T00:05:43.196320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호회수소관위원회대처리결과
번호1.000-0.9770.3920.7840.083
회수-0.9771.0000.0000.0000.142
소관위원회0.3920.0001.0000.4910.204
대0.7840.0000.4911.0000.041
처리결과0.0830.1420.2040.0411.000

Missing values

2023-12-13T00:05:38.130549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:05:38.250059image/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.
2023-12-13T00:05:38.344592image/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

번호의안번호소관위원회대회수의안명발의(제출)일발의(제출)자심의일자처리결과
01240의회운영위원회9대2472023년도 행정사무감사계획서 승인의 건2023-09-12의회운영위원장2023-09-14원안가결
12237의회운영위원회9대247부산광역시 연제구의회 지방공무원 인사 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
23236의회운영위원회9대247부산광역시 연제구의회 별정직공무원 자진퇴직수당 지급에 관한 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
34235의회운영위원회9대247부산광역시 연제구의회 지방공무원 명예퇴직수당 등 지급에 관한 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
45234의회운영위원회9대247부산광역시 연제구의회 비위공직자의 의원면직 처리 제한에 관한 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
56233의회운영위원회9대247부산광역시 연제구의회 직무대리 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
67232의회운영위원회9대247부산광역시 연제구의회 사무기구 사무분장 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
78231의회운영위원회9대247부산광역시 연제구의회 지방공무원 근무 규칙 일부개정규칙안2023-08-30의회운영위원장2023-09-14원안가결
89230의회운영위원회9대247부산광역시 연제구의회 사무기구 설치 및 직원 정수 조례 일부개정조례안2023-08-30의회운영위원장2023-09-14원안가결
910229의회운영위원회9대247부산광역시 연제구의회 공무원 복무조례 일부개정조례안2023-08-30의회운영위원장2023-09-14수정가결
번호의안번호소관위원회대회수의안명발의(제출)일발의(제출)자심의일자처리결과
91891917기획행정위원회7대181부산광역시 연제구 행정기구설치조례 일부개정조례안2014-07-07연제구청장2014-07-07원안가결
91992016기획행정위원회7대181부산광역시 연제구 지방공무원 정원조례 일부개정조례안2014-07-07연제구청장2014-07-07원안가결
92092110기획행정위원회7대181부산광역시 연제구 및 동주민센터의 소재지에 관한조례 일부개정조례안2014-07-07연제구청장2014-07-07원안가결
9219229기획행정위원회7대181부산광역시 연제구 공유재산 및 물품관리조례 일부개정조례안2014-07-07연제구청장2014-07-07원안가결
92292385본회의6대154일본의 역사왜곡 및 독도영유권 주장 규탄 결의안2011-05-16의원2011-05-16원안가결
923924352본회의6대178연제구민의 흡연피해 구제를 위한 결의안2014-03-28의원2014-03-28원안가결
924925349사회도시위원회6대178부산광역시 연제구 전통상업보존구역 지정 및 대규모,준대규모 점포의 등록제한 등에 관한 조례 일부 개정조례안2014-03-25구청장2014-03-25수정가결
925926347기획행정위원회6대178부산광역시 연제구세 조례 일부개정 조례안2014-03-25구청장2014-03-25원안가결
926927346기획행정위원회6대178부산광역시 연제구세 기본조례 일부개정 조례안2014-03-25구청장2014-03-25원안가결
927928342기획행정위원회6대178부산광역시 연제구 지방고용직공무원 임용등에 관한 조례 폐지안2014-03-25구청장2014-03-25원안가결