Overview

Dataset statistics

Number of variables13
Number of observations739
Missing cells212
Missing cells (%)2.2%
Duplicate rows2
Duplicate rows (%)0.3%
Total size in memory75.9 KiB
Average record size in memory105.2 B

Variable types

Categorical6
Numeric1
DateTime4
Text2

Dataset

Description전라남도 광양시의 의회의안정보(제안종류, 제안일자, 제출자, 의안명, 소관위원회분류 등 )에 대한 정보를 전 국민에게 무료로 제공
Author전라남도 광양시
URLhttps://www.data.go.kr/data/15038420/fileData.do

Alerts

데이터기준일 has constant value ""Constant
Dataset has 2 (0.3%) duplicate rowsDuplicates
본회의처리결과 is highly overall correlated with 위원회처리결과High correlation
위원회처리결과 is highly overall correlated with 본회의처리결과High correlation
의안번호 is highly overall correlated with 대수High correlation
대수 is highly overall correlated with 의안번호 and 1 other fieldsHigh correlation
제안종류 is highly overall correlated with 대수 and 1 other fieldsHigh correlation
소관위원회분류 is highly overall correlated with 제안종류High correlation
본회의처리결과 is highly imbalanced (58.5%)Imbalance
본회의상정일 has 39 (5.3%) missing valuesMissing
본회의의결일 has 40 (5.4%) missing valuesMissing
집행기관이송일 has 133 (18.0%) missing valuesMissing

Reproduction

Analysis started2024-04-06 08:00:55.244108
Analysis finished2024-04-06 08:00:59.429116
Duration4.19 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
8 대
428 
9 대
311 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9 대
2nd row9 대
3rd row9 대
4th row9 대
5th row9 대

Common Values

ValueCountFrequency (%)
8 대 428
57.9%
9 대 311
42.1%

Length

2024-04-06T17:00:59.540261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:00:59.713279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 739
50.0%
8 428
29.0%
9 311
21.0%

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct734
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3616.4398
Minimum3243
Maximum4004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.6 KiB
2024-04-06T17:00:59.916397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3243
5-th percentile3279.9
Q13427.5
median3613
Q33800.5
95-th percentile3965.2
Maximum4004
Range761
Interquartile range (IQR)373

Descriptive statistics

Standard deviation219.22304
Coefficient of variation (CV)0.060618467
Kurtosis-1.1759388
Mean3616.4398
Median Absolute Deviation (MAD)187
Skewness0.047409789
Sum2672549
Variance48058.74
MonotonicityNot monotonic
2024-04-06T17:01:00.155083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3688 2
 
0.3%
3697 2
 
0.3%
3472 2
 
0.3%
3739 2
 
0.3%
3310 2
 
0.3%
4004 1
 
0.1%
3488 1
 
0.1%
3494 1
 
0.1%
3493 1
 
0.1%
3492 1
 
0.1%
Other values (724) 724
98.0%
ValueCountFrequency (%)
3243 1
0.1%
3244 1
0.1%
3245 1
0.1%
3246 1
0.1%
3247 1
0.1%
3248 1
0.1%
3249 1
0.1%
3250 1
0.1%
3251 1
0.1%
3252 1
0.1%
ValueCountFrequency (%)
4004 1
0.1%
4003 1
0.1%
4002 1
0.1%
4001 1
0.1%
4000 1
0.1%
3999 1
0.1%
3998 1
0.1%
3997 1
0.1%
3996 1
0.1%
3995 1
0.1%

제안종류
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
조례안
418 
일반안
107 
동의,승인안
91 
동의·승인안
59 
예산,결산안
 
20
Other values (5)
44 

Length

Max length6
Median length3
Mean length3.8687415
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일반안
2nd row동의·승인안
3rd row예산·결산안
4th row일반안
5th row일반안

Common Values

ValueCountFrequency (%)
조례안 418
56.6%
일반안 107
 
14.5%
동의,승인안 91
 
12.3%
동의·승인안 59
 
8.0%
예산,결산안 20
 
2.7%
예산·결산안 15
 
2.0%
건의,결의안 10
 
1.4%
규칙,규정안 10
 
1.4%
규칙·규정안 6
 
0.8%
건의·결의안 3
 
0.4%

Length

2024-04-06T17:01:00.401400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:00.631943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 418
56.6%
일반안 107
 
14.5%
동의,승인안 91
 
12.3%
동의·승인안 59
 
8.0%
예산,결산안 20
 
2.7%
예산·결산안 15
 
2.0%
건의,결의안 10
 
1.4%
규칙,규정안 10
 
1.4%
규칙·규정안 6
 
0.8%
건의·결의안 3
 
0.4%

제안일자
Date

Distinct148
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
Minimum2020-01-02 00:00:00
Maximum2023-12-08 00:00:00
2024-04-06T17:01:00.839200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:01.077525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제출자
Text

Distinct87
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-06T17:01:01.451874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length5.1542625
Min length4

Characters and Unicode

Total characters3809
Distinct characters73
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

Unique33 ?
Unique (%)4.5%

Sample

1st row총무산업건설위원장
2nd row광양시장
3rd row광양시장
4th row송재천 의원
5th row박문섭 의원
ValueCountFrequency (%)
광양시장 470
53.0%
의원 60
 
6.8%
2인 44
 
5.0%
광양시의회의장 39
 
4.4%
3인 19
 
2.1%
4인 14
 
1.6%
전체의원 13
 
1.5%
이형선의원외 12
 
1.4%
김보라 9
 
1.0%
정민기의원외 9
 
1.0%
Other values (65) 197
22.2%
2024-04-06T17:01:02.011533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 517
13.6%
양 515
13.5%
광 509
13.4%
시 509
13.4%
의 300
 
7.9%
원 251
 
6.6%
147
 
3.9%
외 104
 
2.7%
인 102
 
2.7%
2 60
 
1.6%
Other values (63) 795
20.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3536
92.8%
Space Separator 147
 
3.9%
Decimal Number 106
 
2.8%
Open Punctuation 8
 
0.2%
Close Punctuation 8
 
0.2%
Other Punctuation 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 517
14.6%
양 515
14.6%
광 509
14.4%
시 509
14.4%
의 300
8.5%
원 251
 
7.1%
외 104
 
2.9%
인 102
 
2.9%
회 43
 
1.2%
박 36
 
1.0%
Other values (53) 650
18.4%
Decimal Number
ValueCountFrequency (%)
2 60
56.6%
3 24
 
22.6%
4 17
 
16.0%
5 4
 
3.8%
6 1
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 3
75.0%
. 1
 
25.0%
Space Separator
ValueCountFrequency (%)
147
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3536
92.8%
Common 273
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 517
14.6%
양 515
14.6%
광 509
14.4%
시 509
14.4%
의 300
8.5%
원 251
 
7.1%
외 104
 
2.9%
인 102
 
2.9%
회 43
 
1.2%
박 36
 
1.0%
Other values (53) 650
18.4%
Common
ValueCountFrequency (%)
147
53.8%
2 60
22.0%
3 24
 
8.8%
4 17
 
6.2%
( 8
 
2.9%
) 8
 
2.9%
5 4
 
1.5%
, 3
 
1.1%
. 1
 
0.4%
6 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3536
92.8%
ASCII 273
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 517
14.6%
양 515
14.6%
광 509
14.4%
시 509
14.4%
의 300
8.5%
원 251
 
7.1%
외 104
 
2.9%
인 102
 
2.9%
회 43
 
1.2%
박 36
 
1.0%
Other values (53) 650
18.4%
ASCII
ValueCountFrequency (%)
147
53.8%
2 60
22.0%
3 24
 
8.8%
4 17
 
6.2%
( 8
 
2.9%
) 8
 
2.9%
5 4
 
1.5%
, 3
 
1.1%
. 1
 
0.4%
6 1
 
0.4%

의안명
Text

Distinct634
Distinct (%)85.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-04-06T17:01:02.477401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length45
Mean length26.02571
Min length10

Characters and Unicode

Total characters19233
Distinct characters404
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique584 ?
Unique (%)79.0%

Sample

1st row2023년도 행정사무감사 결과 보고서 채택의 건
2nd row소프트웨어 중심대학 지원사업 의무부담 동의안
3rd row2024년도 예산안
4th row예산결산특별위원회 구성 결의안
5th row시장 및 관계공무원 출석요구안
ValueCountFrequency (%)
광양시 441
 
10.5%
조례 246
 
5.9%
일부개정조례안 224
 
5.3%
및 213
 
5.1%
관한 152
 
3.6%
조례안 146
 
3.5%
동의안 89
 
2.1%
설치 66
 
1.6%
운영 57
 
1.4%
지원에 55
 
1.3%
Other values (1106) 2511
59.8%
2024-04-06T17:01:04.529956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3461
 
18.0%
시 775
 
4.0%
안 750
 
3.9%
조 717
 
3.7%
례 690
 
3.6%
광 603
 
3.1%
양 601
 
3.1%
정 436
 
2.3%
의 329
 
1.7%
관 306
 
1.6%
Other values (394) 10565
54.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14773
76.8%
Space Separator 3461
 
18.0%
Decimal Number 622
 
3.2%
Close Punctuation 146
 
0.8%
Open Punctuation 142
 
0.7%
Other Punctuation 37
 
0.2%
Lowercase Letter 28
 
0.1%
Uppercase Letter 14
 
0.1%
Dash Punctuation 5
 
< 0.1%
Math Symbol 2
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 775
 
5.2%
안 750
 
5.1%
조 717
 
4.9%
례 690
 
4.7%
광 603
 
4.1%
양 601
 
4.1%
정 436
 
3.0%
의 329
 
2.2%
관 306
 
2.1%
부 306
 
2.1%
Other values (350) 9260
62.7%
Decimal Number
ValueCountFrequency (%)
2 296
47.6%
0 154
24.8%
1 61
 
9.8%
3 49
 
7.9%
9 22
 
3.5%
4 18
 
2.9%
8 8
 
1.3%
5 6
 
1.0%
7 4
 
0.6%
6 4
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
e 9
32.1%
s 5
17.9%
d 4
14.3%
t 4
14.3%
n 2
 
7.1%
b 1
 
3.6%
i 1
 
3.6%
h 1
 
3.6%
u 1
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
T 5
35.7%
B 3
21.4%
C 2
 
14.3%
V 1
 
7.1%
H 1
 
7.1%
L 1
 
7.1%
S 1
 
7.1%
Close Punctuation
ValueCountFrequency (%)
) 127
87.0%
] 13
 
8.9%
」 4
 
2.7%
〕 2
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 123
86.6%
[ 13
 
9.2%
「 4
 
2.8%
〔 2
 
1.4%
Other Punctuation
ValueCountFrequency (%)
· 20
54.1%
. 9
24.3%
, 7
 
18.9%
? 1
 
2.7%
Space Separator
ValueCountFrequency (%)
3461
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14774
76.8%
Common 4417
 
23.0%
Latin 42
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 775
 
5.2%
안 750
 
5.1%
조 717
 
4.9%
례 690
 
4.7%
광 603
 
4.1%
양 601
 
4.1%
정 436
 
3.0%
의 329
 
2.2%
관 306
 
2.1%
부 306
 
2.1%
Other values (351) 9261
62.7%
Common
ValueCountFrequency (%)
3461
78.4%
2 296
 
6.7%
0 154
 
3.5%
) 127
 
2.9%
( 123
 
2.8%
1 61
 
1.4%
3 49
 
1.1%
9 22
 
0.5%
· 20
 
0.5%
4 18
 
0.4%
Other values (17) 86
 
1.9%
Latin
ValueCountFrequency (%)
e 9
21.4%
s 5
11.9%
T 5
11.9%
d 4
9.5%
t 4
9.5%
B 3
 
7.1%
C 2
 
4.8%
n 2
 
4.8%
V 1
 
2.4%
b 1
 
2.4%
Other values (6) 6
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14767
76.8%
ASCII 4425
 
23.0%
None 33
 
0.2%
Compat Jamo 6
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3461
78.2%
2 296
 
6.7%
0 154
 
3.5%
) 127
 
2.9%
( 123
 
2.8%
1 61
 
1.4%
3 49
 
1.1%
9 22
 
0.5%
4 18
 
0.4%
] 13
 
0.3%
Other values (26) 101
 
2.3%
Hangul
ValueCountFrequency (%)
시 775
 
5.2%
안 750
 
5.1%
조 717
 
4.9%
례 690
 
4.7%
광 603
 
4.1%
양 601
 
4.1%
정 436
 
3.0%
의 329
 
2.2%
관 306
 
2.1%
부 306
 
2.1%
Other values (349) 9254
62.7%
None
ValueCountFrequency (%)
· 20
60.6%
「 4
 
12.1%
」 4
 
12.1%
〔 2
 
6.1%
〕 2
 
6.1%
㈜ 1
 
3.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

소관위원회분류
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
총무위원회
369 
산업건설위원회
172 
<NA>
74 
의회운영위원회
71 
특별위원회
38 

Length

Max length9
Median length5
Mean length5.6387009
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
총무위원회 369
49.9%
산업건설위원회 172
23.3%
<NA> 74
 
10.0%
의회운영위원회 71
 
9.6%
특별위원회 38
 
5.1%
총무산업건설위원회 15
 
2.0%

Length

2024-04-06T17:01:04.865214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:05.162004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
총무위원회 369
49.9%
산업건설위원회 172
23.3%
na 74
 
10.0%
의회운영위원회 71
 
9.6%
특별위원회 38
 
5.1%
총무산업건설위원회 15
 
2.0%

위원회처리결과
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
처리-원안가결
460 
처리-수정가결
171 
<NA>
71 
처리-부결
 
17
보류
 
10
Other values (3)
 
10

Length

Max length7
Median length7
Mean length6.5723951
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row처리-원안가결
2nd row처리-원안가결
3rd row처리-수정가결
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
처리-원안가결 460
62.2%
처리-수정가결 171
 
23.1%
<NA> 71
 
9.6%
처리-부결 17
 
2.3%
보류 10
 
1.4%
처리-철회 7
 
0.9%
처리-의견제시 2
 
0.3%
접수 1
 
0.1%

Length

2024-04-06T17:01:05.502149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:05.877422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처리-원안가결 460
62.2%
처리-수정가결 171
 
23.1%
na 71
 
9.6%
처리-부결 17
 
2.3%
보류 10
 
1.4%
처리-철회 7
 
0.9%
처리-의견제시 2
 
0.3%
접수 1
 
0.1%

본회의상정일
Date

MISSING 

Distinct73
Distinct (%)10.4%
Missing39
Missing (%)5.3%
Memory size5.9 KiB
Minimum2020-01-15 00:00:00
Maximum2023-12-20 00:00:00
2024-04-06T17:01:06.287824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:06.679914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결일
Date

MISSING 

Distinct72
Distinct (%)10.3%
Missing40
Missing (%)5.4%
Memory size5.9 KiB
Minimum2020-01-15 00:00:00
Maximum2023-12-20 00:00:00
2024-04-06T17:01:07.034468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:07.835913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
처리-원안가결
521 
처리-수정가결
169 
<NA>
 
41
처리-부결
 
3
처리-의견제시
 
3
Other values (2)
 
2

Length

Max length7
Median length7
Mean length6.8159675
Min length2

Unique

Unique2 ?
Unique (%)0.3%

Sample

1st row처리-원안가결
2nd row처리-원안가결
3rd row처리-수정가결
4th row처리-원안가결
5th row처리-원안가결

Common Values

ValueCountFrequency (%)
처리-원안가결 521
70.5%
처리-수정가결 169
 
22.9%
<NA> 41
 
5.5%
처리-부결 3
 
0.4%
처리-의견제시 3
 
0.4%
보류 1
 
0.1%
처리-철회 1
 
0.1%

Length

2024-04-06T17:01:08.147927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:08.522771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
처리-원안가결 521
70.5%
처리-수정가결 169
 
22.9%
na 41
 
5.5%
처리-부결 3
 
0.4%
처리-의견제시 3
 
0.4%
보류 1
 
0.1%
처리-철회 1
 
0.1%

집행기관이송일
Date

MISSING 

Distinct54
Distinct (%)8.9%
Missing133
Missing (%)18.0%
Memory size5.9 KiB
Minimum2020-01-21 00:00:00
Maximum2023-12-20 00:00:00
2024-04-06T17:01:08.858584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:01:09.235911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.9 KiB
2024-01-08
739 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-01-08
2nd row2024-01-08
3rd row2024-01-08
4th row2024-01-08
5th row2024-01-08

Common Values

ValueCountFrequency (%)
2024-01-08 739
100.0%

Length

2024-04-06T17:01:09.688607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T17:01:09.999897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-01-08 739
100.0%

Interactions

2024-04-06T17:00:58.525172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:01:10.194369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호제안종류제출자소관위원회분류위원회처리결과본회의상정일본회의의결일본회의처리결과집행기관이송일
대수1.0000.9960.6840.5600.0000.0851.0001.0000.1051.000
의안번호0.9961.0000.5930.5530.2450.1800.9930.9930.0720.991
제안종류0.6840.5931.0000.7810.7270.2990.7880.7850.3220.864
제출자0.5600.5530.7811.0000.7990.0000.8300.8370.1690.824
소관위원회분류0.0000.2450.7270.7991.0000.1350.7040.6820.1240.643
위원회처리결과0.0850.1800.2990.0000.1351.0000.0000.0000.9760.000
본회의상정일1.0000.9930.7880.8300.7040.0001.0001.0000.0001.000
본회의의결일1.0000.9930.7850.8370.6820.0001.0001.0000.0001.000
본회의처리결과0.1050.0720.3220.1690.1240.9760.0000.0001.0000.000
집행기관이송일1.0000.9910.8640.8240.6430.0001.0001.0000.0001.000
2024-04-06T17:01:10.481328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수본회의처리결과제안종류위원회처리결과소관위원회분류
대수1.0000.0750.5300.0910.000
본회의처리결과0.0751.0000.1750.9640.083
제안종류0.5300.1751.0000.1650.559
위원회처리결과0.0910.9640.1651.0000.086
소관위원회분류0.0000.0830.5590.0861.000
2024-04-06T17:01:10.718327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호대수제안종류소관위원회분류위원회처리결과본회의처리결과
의안번호1.0000.9410.2180.1040.0910.037
대수0.9411.0000.5300.0000.0910.075
제안종류0.2180.5301.0000.5590.1650.175
소관위원회분류0.1040.0000.5591.0000.0860.083
위원회처리결과0.0910.0910.1650.0861.0000.964
본회의처리결과0.0370.0750.1750.0830.9641.000

Missing values

2024-04-06T17:00:58.788907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:00:59.064140image/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.
2024-04-06T17:00:59.249663image/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

대수의안번호제안종류제안일자제출자의안명소관위원회분류위원회처리결과본회의상정일본회의의결일본회의처리결과집행기관이송일데이터기준일
09 대4004일반안2023-12-08총무산업건설위원장2023년도 행정사무감사 결과 보고서 채택의 건총무산업건설위원회처리-원안가결2023-12-202023-12-20처리-원안가결2023-12-202024-01-08
19 대4003동의·승인안2023-11-23광양시장소프트웨어 중심대학 지원사업 의무부담 동의안산업건설위원회처리-원안가결2023-12-202023-12-20처리-원안가결2023-12-202024-01-08
29 대4002예산·결산안2023-11-20광양시장2024년도 예산안특별위원회처리-수정가결2023-12-202023-12-20처리-수정가결2023-12-202024-01-08
39 대4001일반안2023-11-09송재천 의원예산결산특별위원회 구성 결의안<NA><NA>2023-11-152023-11-15처리-원안가결2023-11-152024-01-08
49 대4000일반안2023-11-09박문섭 의원시장 및 관계공무원 출석요구안<NA><NA>2023-11-152023-11-15처리-원안가결2023-11-152024-01-08
59 대3999조례안2023-11-08김정임 의원광양시 청소년통행금지구역·제한구역 지정 및 운영에 관한 조례안총무위원회처리-수정가결2023-12-202023-12-20처리-수정가결2023-12-202024-01-08
69 대3998조례안2023-11-08안영헌 의원광양시 공예명장 선정 및 운영에 관한 조례안총무위원회처리-수정가결2023-12-202023-12-20처리-수정가결2023-12-202024-01-08
79 대3997조례안2023-11-08신용식 의원광양시 재활용품 수집인 지원에 관한 조례안총무위원회처리-수정가결2023-12-202023-12-20처리-수정가결2023-12-202024-01-08
89 대3996동의·승인안2023-11-07광양시장광양시니어클럽 민간위탁 동의안총무위원회처리-원안가결2023-12-202023-12-20처리-원안가결2023-12-202024-01-08
99 대3995일반안2023-11-07광양시장2040 광양시 공원녹지기본계획(안) 의견 청취안산업건설위원회처리-원안가결2023-12-202023-12-20처리-원안가결2023-12-202024-01-08
대수의안번호제안종류제안일자제출자의안명소관위원회분류위원회처리결과본회의상정일본회의의결일본회의처리결과집행기관이송일데이터기준일
7298 대3252동의,승인안2020-02-25광양시장광양시 공공시설(광양만권 소재부품 지식산업센터) 설치 계획안총무위원회처리-원안가결2020-04-102020-04-10처리-원안가결2020-04-102024-01-08
7308 대3251동의,승인안2020-02-26진수화의원외 2인시장및 관계공무원 출석요구안<NA><NA>2020-03-112020-03-11<NA><NA>2024-01-08
7318 대3250조례안2020-02-25박말례의원외 3인광양시 교통안전 증진을 위한 조례안산업건설위원회처리-원안가결2020-03-112020-03-11처리-원안가결2020-03-112024-01-08
7328 대3249조례안2020-02-19광양시의회의장제286회 광양시의회(임시회) 회기및 의사일정안의회운영위원회처리-수정가결2020-03-052020-03-05처리-수정가결<NA>2024-01-08
7338 대3248조례안2020-01-20광양시장광양시 폐기물처리시설 설치비용 산정 및 특별회계 설치ㆍ운용에 관한 조례 일부개정조례안<NA>처리-원안가결2020-01-212020-01-21처리-원안가결2020-01-212024-01-08
7348 대3247조례안2020-01-09광양시장광양시 1회용품 사용규제 위반사업장에 대한 과태료부과 및 신고포상금지급 조례 전부개정조례안총무산업건설위원회처리-원안가결2020-01-212020-01-21처리-원안가결2020-01-212024-01-08
7358 대3246조례안2020-01-09광양시장광양시 행정동ㆍ리 및 하부조직 설치에 관한 조례 일부개정조례안총무산업건설위원회처리-원안가결2020-01-212020-01-21처리-원안가결2020-01-212024-01-08
7368 대3245조례안2020-01-18정민기의원외 3인광양시 환경교육 진흥 및 지원에 관한 조례안총무산업건설위원회처리-수정가결2020-01-212020-01-21처리-수정가결2020-01-212024-01-08
7378 대3244조례안2020-01-07백성호의원외 2인시장및 관계공무원 출석요구안<NA><NA>2020-01-152020-01-15처리-원안가결<NA>2024-01-08
7388 대3243조례안2020-01-02백성호의원외 4인광양시 농어민 공익수당 지급 조례안산업건설위원회처리-원안가결2020-01-212020-01-21처리-원안가결2020-01-212024-01-08

Duplicate rows

Most frequently occurring

대수의안번호제안종류제안일자제출자의안명소관위원회분류위원회처리결과본회의상정일본회의의결일본회의처리결과집행기관이송일데이터기준일# duplicates
09 대3688조례안2022-07-13광양시장광양시 규제개혁위원회 설치 및 운영 조례 일부개정조례안총무위원회처리-원안가결2022-07-292022-07-29처리-원안가결2022-07-292024-01-082
19 대3697조례안2022-07-13광양시장광양시 농지위원회 권역별 설치 조례안산업건설위원회처리-원안가결2022-07-292022-07-29처리-원안가결2022-07-292024-01-082