Overview

Dataset statistics

Number of variables17
Number of observations143
Missing cells259
Missing cells (%)10.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.5 KiB
Average record size in memory139.9 B

Variable types

Numeric2
Categorical6
Text2
DateTime7

Dataset

Description광주광역시 광산구 의회 의안 처리 정보(기준연도, 의안번호, 의안명, 제안일자, 해당회기, 제안자, 소관위원회, 본회의처리결과, 집행부 이송 등)를 제공합니다.
URLhttps://www.data.go.kr/data/15037981/fileData.do

Alerts

기준연도 has constant value ""Constant
데이터기준일자 has constant value ""Constant
본회의처리결과 is highly overall correlated with 소관위원회 and 1 other fieldsHigh correlation
구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
소관위원회 is highly overall correlated with 구분 and 2 other fieldsHigh correlation
상임위원회처리결과 is highly overall correlated with 본회의처리결과High correlation
연번 is highly overall correlated with 해당회기 and 1 other fieldsHigh correlation
해당회기 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
제안자(발의_소개자) is highly overall correlated with 소관위원회High correlation
회부일자 has 47 (32.9%) missing valuesMissing
상임위원회상정일자 has 50 (35.0%) missing valuesMissing
상임위원회의결일자 has 50 (35.0%) missing valuesMissing
본회의상정일자 has 2 (1.4%) missing valuesMissing
집행부이송일 has 110 (76.9%) missing valuesMissing
연번 has unique valuesUnique
의안번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:58:27.912665
Analysis finished2023-12-12 13:58:29.897236
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72
Minimum1
Maximum143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:58:29.996906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.1
Q136.5
median72
Q3107.5
95-th percentile135.9
Maximum143
Range142
Interquartile range (IQR)71

Descriptive statistics

Standard deviation41.42463
Coefficient of variation (CV)0.57534209
Kurtosis-1.2
Mean72
Median Absolute Deviation (MAD)36
Skewness0
Sum10296
Variance1716
MonotonicityStrictly increasing
2023-12-12T22:58:30.194057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
2 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
Other values (133) 133
93.0%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
9대
102 
8대
41 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row8대
2nd row8대
3rd row8대
4th row8대
5th row8대

Common Values

ValueCountFrequency (%)
9대 102
71.3%
8대 41
28.7%

Length

2023-12-12T22:58:30.402615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:30.547415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
9대 102
71.3%
8대 41
28.7%

기준연도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2022
143 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 143
100.0%

Length

2023-12-12T22:58:30.673177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:30.840375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 143
100.0%

의안번호
Text

UNIQUE 

Distinct143
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:58:31.183116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1430
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

Unique143 ?
Unique (%)100.0%

Sample

1st row8_20220001
2nd row8_20220010
3rd row8_20220009
4th row8_20220008
5th row8_20220007
ValueCountFrequency (%)
8_20220001 1
 
0.7%
9_20220095 1
 
0.7%
9_20220108 1
 
0.7%
9_20220107 1
 
0.7%
9_20220106 1
 
0.7%
9_20220105 1
 
0.7%
9_20220104 1
 
0.7%
9_20220103 1
 
0.7%
9_20220094 1
 
0.7%
9_20220102 1
 
0.7%
Other values (133) 133
93.0%
2023-12-12T22:58:31.617323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 463
32.4%
0 414
29.0%
_ 143
 
10.0%
9 126
 
8.8%
1 80
 
5.6%
8 66
 
4.6%
4 33
 
2.3%
3 31
 
2.2%
7 25
 
1.7%
6 25
 
1.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1287
90.0%
Connector Punctuation 143
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 463
36.0%
0 414
32.2%
9 126
 
9.8%
1 80
 
6.2%
8 66
 
5.1%
4 33
 
2.6%
3 31
 
2.4%
7 25
 
1.9%
6 25
 
1.9%
5 24
 
1.9%
Connector Punctuation
ValueCountFrequency (%)
_ 143
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1430
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 463
32.4%
0 414
29.0%
_ 143
 
10.0%
9 126
 
8.8%
1 80
 
5.6%
8 66
 
4.6%
4 33
 
2.3%
3 31
 
2.2%
7 25
 
1.7%
6 25
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1430
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 463
32.4%
0 414
29.0%
_ 143
 
10.0%
9 126
 
8.8%
1 80
 
5.6%
8 66
 
4.6%
4 33
 
2.3%
3 31
 
2.2%
7 25
 
1.7%
6 25
 
1.7%
Distinct135
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T22:58:32.003984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length40
Mean length28.174825
Min length12

Characters and Unicode

Total characters4029
Distinct characters271
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)89.5%

Sample

1st row(국공립)남성대어린이집 운영에 관한 업무 민간위탁 동의안
2nd row광주광역시 광산구 농가소득금고 운영 관리 조례 폐지조례안
3rd row광주광역시 광산구청 및 동 행정복지센터 소재지에 관한 조례 일부개정조례안
4th row광주광역시 광산구 공약실천을 위한 기본조례안
5th row광주광역시 광산구의회 사무위임 전결 규칙안
ValueCountFrequency (%)
광주광역시 72
 
8.0%
광산구 67
 
7.5%
조례 44
 
4.9%
일부개정조례안 40
 
4.5%
37
 
4.1%
관한 36
 
4.0%
26
 
2.9%
조례안 21
 
2.3%
동의안 14
 
1.6%
선임의 13
 
1.4%
Other values (297) 527
58.8%
2023-12-12T22:58:32.495036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
754
 
18.7%
232
 
5.8%
117
 
2.9%
114
 
2.8%
111
 
2.8%
102
 
2.5%
101
 
2.5%
101
 
2.5%
100
 
2.5%
83
 
2.1%
Other values (261) 2214
55.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3011
74.7%
Space Separator 754
 
18.7%
Decimal Number 174
 
4.3%
Other Punctuation 46
 
1.1%
Close Punctuation 16
 
0.4%
Open Punctuation 16
 
0.4%
Math Symbol 7
 
0.2%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
232
 
7.7%
117
 
3.9%
114
 
3.8%
111
 
3.7%
102
 
3.4%
101
 
3.4%
101
 
3.4%
100
 
3.3%
83
 
2.8%
82
 
2.7%
Other values (239) 1868
62.0%
Decimal Number
ValueCountFrequency (%)
2 73
42.0%
1 25
 
14.4%
0 23
 
13.2%
7 15
 
8.6%
3 14
 
8.0%
9 10
 
5.7%
5 5
 
2.9%
4 4
 
2.3%
8 3
 
1.7%
6 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 27
58.7%
, 14
30.4%
' 2
 
4.3%
/ 2
 
4.3%
· 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
P 3
60.0%
C 1
 
20.0%
T 1
 
20.0%
Space Separator
ValueCountFrequency (%)
754
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Math Symbol
ValueCountFrequency (%)
~ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3011
74.7%
Common 1013
 
25.1%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
232
 
7.7%
117
 
3.9%
114
 
3.8%
111
 
3.7%
102
 
3.4%
101
 
3.4%
101
 
3.4%
100
 
3.3%
83
 
2.8%
82
 
2.7%
Other values (239) 1868
62.0%
Common
ValueCountFrequency (%)
754
74.4%
2 73
 
7.2%
. 27
 
2.7%
1 25
 
2.5%
0 23
 
2.3%
) 16
 
1.6%
( 16
 
1.6%
7 15
 
1.5%
3 14
 
1.4%
, 14
 
1.4%
Other values (9) 36
 
3.6%
Latin
ValueCountFrequency (%)
P 3
60.0%
C 1
 
20.0%
T 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3011
74.7%
ASCII 1017
 
25.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
754
74.1%
2 73
 
7.2%
. 27
 
2.7%
1 25
 
2.5%
0 23
 
2.3%
) 16
 
1.6%
( 16
 
1.6%
7 15
 
1.5%
3 14
 
1.4%
, 14
 
1.4%
Other values (11) 40
 
3.9%
Hangul
ValueCountFrequency (%)
232
 
7.7%
117
 
3.9%
114
 
3.8%
111
 
3.7%
102
 
3.4%
101
 
3.4%
101
 
3.4%
100
 
3.3%
83
 
2.8%
82
 
2.7%
Other values (239) 1868
62.0%
None
ValueCountFrequency (%)
· 1
100.0%
Distinct34
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-01-04 00:00:00
Maximum2022-12-07 00:00:00
2023-12-12T22:58:32.656698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:32.775822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)

해당회기
Real number (ℝ)

HIGH CORRELATION 

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean273.42657
Minimum270
Maximum276
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T22:58:32.890499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum270
5-th percentile270
Q1271
median274
Q3275
95-th percentile276
Maximum276
Range6
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1212855
Coefficient of variation (CV)0.0077581542
Kurtosis-1.3489106
Mean273.42657
Median Absolute Deviation (MAD)2
Skewness-0.2692214
Sum39100
Variance4.4998523
MonotonicityNot monotonic
2023-12-12T22:58:33.008765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
276 34
23.8%
271 25
17.5%
274 23
16.1%
275 21
14.7%
270 16
11.2%
273 16
11.2%
272 8
 
5.6%
ValueCountFrequency (%)
270 16
11.2%
271 25
17.5%
272 8
 
5.6%
273 16
11.2%
274 23
16.1%
275 21
14.7%
276 34
23.8%
ValueCountFrequency (%)
276 34
23.8%
275 21
14.7%
274 23
16.1%
273 16
11.2%
272 8
 
5.6%
271 25
17.5%
270 16
11.2%

제안자(발의_소개자)
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)23.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
광산구청장
68 
의장
35 
운영위원장
 
3
조영임의원 외 15명
 
2
위원장
 
2
Other values (29)
33 

Length

Max length23
Median length5
Mean length5.5174825
Min length2

Unique

Unique25 ?
Unique (%)17.5%

Sample

1st row광산구청장
2nd row광산구청장
3rd row광산구청장
4th row광산구청장
5th row김재호의원 외 3명

Common Values

ValueCountFrequency (%)
광산구청장 68
47.6%
의장 35
24.5%
운영위원장 3
 
2.1%
조영임의원 외 15명 2
 
1.4%
위원장 2
 
1.4%
조영임의원 외 8명 2
 
1.4%
박현석의원 외 6명 2
 
1.4%
이귀순의원 외 5명 2
 
1.4%
정재봉의원 외 6명 2
 
1.4%
국강현의원 외 9명 1
 
0.7%
Other values (24) 24
 
16.8%

Length

2023-12-12T22:58:33.145846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
광산구청장 68
32.5%
의장 35
16.7%
31
14.8%
조영임의원 7
 
3.3%
6명 6
 
2.9%
박현석의원 5
 
2.4%
15명 4
 
1.9%
8명 4
 
1.9%
5명 4
 
1.9%
국강현의원 3
 
1.4%
Other values (27) 42
20.1%

소관위원회
Categorical

HIGH CORRELATION 

Distinct10
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
<NA>
45 
경제복지위원회
24 
행정자치위원회
19 
기획총무위원회
13 
산업도시위원회
12 
Other values (5)
30 

Length

Max length19
Median length7
Mean length6.013986
Min length3

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row산업도시위원회
2nd row산업도시위원회
3rd row기획총무위원회
4th row기획총무위원회
5th row운영위원회

Common Values

ValueCountFrequency (%)
<NA> 45
31.5%
경제복지위원회 24
16.8%
행정자치위원회 19
13.3%
기획총무위원회 13
 
9.1%
산업도시위원회 12
 
8.4%
시민안전위원회 12
 
8.4%
예산결산특별위원회 7
 
4.9%
본회의 6
 
4.2%
운영위원회 4
 
2.8%
군공항이전및소음피해대책마련특별위원회 1
 
0.7%

Length

2023-12-12T22:58:33.288404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:33.427112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 45
31.5%
경제복지위원회 24
16.8%
행정자치위원회 19
13.3%
기획총무위원회 13
 
9.1%
산업도시위원회 12
 
8.4%
시민안전위원회 12
 
8.4%
예산결산특별위원회 7
 
4.9%
본회의 6
 
4.2%
운영위원회 4
 
2.8%
군공항이전및소음피해대책마련특별위원회 1
 
0.7%

회부일자
Date

MISSING 

Distinct11
Distinct (%)11.5%
Missing47
Missing (%)32.9%
Memory size1.2 KiB
Minimum2022-01-10 00:00:00
Maximum2022-12-12 00:00:00
2023-12-12T22:58:33.558119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:33.676338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
Distinct14
Distinct (%)15.1%
Missing50
Missing (%)35.0%
Memory size1.2 KiB
Minimum2022-01-17 00:00:00
Maximum2022-12-13 00:00:00
2023-12-12T22:58:33.831354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:33.948016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
Distinct15
Distinct (%)16.1%
Missing50
Missing (%)35.0%
Memory size1.2 KiB
Minimum2022-01-17 00:00:00
Maximum2022-12-21 00:00:00
2023-12-12T22:58:34.064241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:34.217437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)

상임위원회처리결과
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
원안가결
80 
<NA>
50 
수정가결
10 
처리
 
2
부결
 
1

Length

Max length4
Median length4
Mean length3.958042
Min length2

Unique

Unique1 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 80
55.9%
<NA> 50
35.0%
수정가결 10
 
7.0%
처리 2
 
1.4%
부결 1
 
0.7%

Length

2023-12-12T22:58:34.443596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:34.670800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 80
55.9%
na 50
35.0%
수정가결 10
 
7.0%
처리 2
 
1.4%
부결 1
 
0.7%

본회의상정일자
Date

MISSING 

Distinct17
Distinct (%)12.1%
Missing2
Missing (%)1.4%
Memory size1.2 KiB
Minimum2021-10-25 00:00:00
Maximum2022-12-21 00:00:00
2023-12-12T22:58:34.845088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:35.043845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)

본회의처리결과
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
원안가결
87 
처리
44 
수정가결
10 
<NA>
 
1
철회
 
1

Length

Max length4
Median length4
Mean length3.3706294
Min length2

Unique

Unique2 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 87
60.8%
처리 44
30.8%
수정가결 10
 
7.0%
<NA> 1
 
0.7%
철회 1
 
0.7%

Length

2023-12-12T22:58:35.322697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:58:35.529981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 87
60.8%
처리 44
30.8%
수정가결 10
 
7.0%
na 1
 
0.7%
철회 1
 
0.7%

집행부이송일
Date

MISSING 

Distinct6
Distinct (%)18.2%
Missing110
Missing (%)76.9%
Memory size1.2 KiB
Minimum2022-01-25 00:00:00
Maximum2022-12-21 00:00:00
2023-12-12T22:58:35.698703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:35.862312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2022-12-31 00:00:00
Maximum2022-12-31 00:00:00
2023-12-12T22:58:35.981939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:36.123013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:58:28.948102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:28.685711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:29.060916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:58:28.802553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:58:36.503903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번구분제안일자해당회기제안자(발의_소개자)소관위원회회부일자상임위원회상정일자상임위원회의결일자상임위원회처리결과본회의상정일자본회의처리결과집행부이송일
연번1.0000.9990.9790.9570.5570.8270.9170.9370.9380.0000.9330.3610.906
구분0.9991.0001.0001.0000.2860.9161.0001.0001.0000.2421.0000.0001.000
제안일자0.9791.0001.0001.0000.0000.8860.9790.9530.9610.4290.9950.6321.000
해당회기0.9571.0001.0001.0000.3260.6821.0001.0001.0000.1041.0000.3411.000
제안자(발의_소개자)0.5570.2860.0000.3261.0000.9190.6990.3200.0000.0000.5650.7160.547
소관위원회0.8270.9160.8860.6820.9191.0000.8370.9580.8990.7110.8690.6830.608
회부일자0.9171.0000.9791.0000.6990.8371.0001.0001.0000.5610.9770.7481.000
상임위원회상정일자0.9371.0000.9531.0000.3200.9581.0001.0000.9930.0000.9770.0000.899
상임위원회의결일자0.9381.0000.9611.0000.0000.8991.0000.9931.0000.0000.9800.0001.000
상임위원회처리결과0.0000.2420.4290.1040.0000.7110.5610.0000.0001.0000.7671.0000.000
본회의상정일자0.9331.0000.9951.0000.5650.8690.9770.9770.9800.7671.0000.7600.900
본회의처리결과0.3610.0000.6320.3410.7160.6830.7480.0000.0001.0000.7601.0000.929
집행부이송일0.9061.0001.0001.0000.5470.6081.0000.8991.0000.0000.9000.9291.000
2023-12-12T22:58:36.674185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의처리결과구분소관위원회상임위원회처리결과제안자(발의_소개자)
본회의처리결과1.0000.0000.5011.0000.401
구분0.0001.0000.9200.1580.196
소관위원회0.5010.9201.0000.3740.533
상임위원회처리결과1.0000.1580.3741.0000.000
제안자(발의_소개자)0.4010.1960.5330.0001.000
2023-12-12T22:58:36.776008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번해당회기구분제안자(발의_소개자)소관위원회상임위원회처리결과본회의처리결과
연번1.0000.9810.9400.2070.3970.0000.220
해당회기0.9811.0000.9820.1470.4460.0000.197
구분0.9400.9821.0000.1960.9200.1580.000
제안자(발의_소개자)0.2070.1470.1961.0000.5330.0000.401
소관위원회0.3970.4460.9200.5331.0000.3740.501
상임위원회처리결과0.0000.0000.1580.0000.3741.0001.000
본회의처리결과0.2200.1970.0000.4010.5011.0001.000

Missing values

2023-12-12T22:58:29.226705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:58:29.524080image/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.
2023-12-12T22:58:29.746256image/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

연번구분기준연도의안번호의안명제안일자해당회기제안자(발의_소개자)소관위원회회부일자상임위원회상정일자상임위원회의결일자상임위원회처리결과본회의상정일자본회의처리결과집행부이송일데이터기준일자
018대20228_20220001(국공립)남성대어린이집 운영에 관한 업무 민간위탁 동의안2022-01-04270광산구청장산업도시위원회2022-01-102022-01-212022-05-08원안가결2022-01-25원안가결2022-01-252022-12-31
128대20228_20220010광주광역시 광산구 농가소득금고 운영 관리 조례 폐지조례안2022-01-07270광산구청장산업도시위원회2022-01-102022-01-212022-01-21원안가결2022-01-25원안가결2022-01-262022-12-31
238대20228_20220009광주광역시 광산구청 및 동 행정복지센터 소재지에 관한 조례 일부개정조례안2022-01-07270광산구청장기획총무위원회2022-01-102022-01-212022-01-21원안가결2022-01-25원안가결2022-01-262022-12-31
348대20228_20220008광주광역시 광산구 공약실천을 위한 기본조례안2022-01-07270광산구청장기획총무위원회2022-01-102022-01-212022-01-21원안가결2022-01-25원안가결2022-01-262022-12-31
458대20228_20220007광주광역시 광산구의회 사무위임 전결 규칙안2022-01-07270김재호의원 외 3명운영위원회2022-01-102022-01-172022-01-17원안가결2022-01-25원안가결2022-01-262022-12-31
568대20228_20220006광주광역시 광산구의회 군공항 이전 및 소음피해 대책마련 특별위원회 구성 결의안2022-01-07270박현석의원 외 7명<NA><NA><NA><NA><NA>2022-01-25원안가결2022-01-262022-12-31
678대20228_20220005광주광역시 광산구 양성평등 기본 조례 일부개정조례안2022-01-07270조영임의원 외 3명산업도시위원회2022-01-102022-01-212022-01-21원안가결2022-01-25원안가결2022-01-262022-12-31
788대20228_20220004광주광역시 광산구 선택예방접종 지원에 관한 조례안2022-01-07270박경신의원 외 10명기획총무위원회2022-01-102022-01-212022-01-21수정가결2022-01-25수정가결2022-01-262022-12-31
898대20228_20220003광주광역시 광산구 체육시설 관리 운영에 관한 조례 일부개정조례안2022-01-07270김재호의원 외 9명산업도시위원회2022-01-102022-01-212022-01-21원안가결2022-01-25원안가결2022-01-262022-12-31
9108대20228_20220002광주광역시 광산구 장애인 등의 편의시설 설치 사전점검에 관한 조례 일부개정조례안2022-01-07270김미영의원 외 10명산업도시위원회2022-01-102022-01-212022-01-21원안가결2021-10-25원안가결2022-01-262022-12-31
연번구분기준연도의안번호의안명제안일자해당회기제안자(발의_소개자)소관위원회회부일자상임위원회상정일자상임위원회의결일자상임위원회처리결과본회의상정일자본회의처리결과집행부이송일데이터기준일자
1331349대20229_20220122광주광역시 광산구의회 정책네트워크 구성 및 운영 조례안2022-11-15276조영임의원 외 15명운영위원회2022-11-212022-12-122022-12-12원안가결2022-12-21원안가결<NA>2022-12-31
1341359대20229_20220121광주광역시 광산구의회 위원회 조례 일부개정조례안2022-11-15276조영임의원 외 10명운영위원회2022-11-212022-12-122022-12-12원안가결2022-12-21원안가결<NA>2022-12-31
1351369대20229_20220120광주광역시 광산구의회 의원 의정활동비, 월정수당 및 여비 지급에 관한 조례 일부개정조례안2022-11-15276조영임의원 외 15명운영위원회2022-11-212022-12-122022-12-12원안가결2022-12-21원안가결<NA>2022-12-31
1361379대20229_202201432023년도 기금운용계획안2022-11-21276광산구청장예산결산특별위원회2022-12-122022-12-132022-12-21원안가결2022-12-21원안가결<NA>2022-12-31
1371389대20229_202201422023년도 일반특별회계 예산안2022-11-21276광산구청장예산결산특별위원회2022-12-122022-12-132022-12-21수정가결2022-12-21수정가결<NA>2022-12-31
1381399대20229_20220147휴회의 건(11. 24.~12. 6, 13일간)2022-11-23276의장본회의<NA><NA><NA><NA>2022-11-23처리<NA>2022-12-31
1391409대20229_20220146제276회 정례회 회의록 서명의원 선임의 건(조영임, 김은정 의원)2022-11-23276의장본회의<NA><NA><NA><NA>2022-11-23처리<NA>2022-12-31
1401419대20229_20220148휴회의 건(12. 8.~12. 20, 13일간)2022-12-07276의장본회의<NA><NA><NA><NA>2022-12-07처리<NA>2022-12-31
1411429대20229_20220145구정의 질문에 관한 건2022-12-07276의장본회의2022-12-07<NA><NA><NA>2022-12-07처리<NA>2022-12-31
1421439대20229_202201442022년도 행정사무감사 결과보고서2022-12-07276의장본회의2022-12-07<NA><NA><NA>2022-12-07처리<NA>2022-12-31