Overview

Dataset statistics

Number of variables13
Number of observations319
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.8 KiB
Average record size in memory105.4 B

Variable types

Numeric1
Categorical10
Text2

Dataset

Description서울특별시 동작구 동작구의회 의안(제8대의회)에 대한 정보
Author서울특별시 동작구
URLhttps://www.data.go.kr/data/15077715/fileData.do

Alerts

회의차수 is highly overall correlated with 안건번호 and 3 other fieldsHigh correlation
본회의결과 is highly overall correlated with 의안유형 and 2 other fieldsHigh correlation
위원회상정일 is highly overall correlated with 안건번호 and 5 other fieldsHigh correlation
회의구분 is highly overall correlated with 회의차수 and 2 other fieldsHigh correlation
위원회결과 is highly overall correlated with 의안유형 and 1 other fieldsHigh correlation
본회의처리일 is highly overall correlated with 안건번호 and 4 other fieldsHigh correlation
안건번호 is highly overall correlated with 회의차수 and 2 other fieldsHigh correlation
의안유형 is highly overall correlated with 소관위원회 and 3 other fieldsHigh correlation
소관위원회 is highly overall correlated with 의안유형 and 1 other fieldsHigh correlation
본회의결과 is highly imbalanced (51.5%)Imbalance

Reproduction

Analysis started2023-12-12 20:10:43.766109
Analysis finished2023-12-12 20:10:45.488956
Duration1.72 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

안건번호
Real number (ℝ)

HIGH CORRELATION 

Distinct318
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3009.6583
Minimum2851
Maximum3168
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.9 KiB
2023-12-13T05:10:45.564961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2851
5-th percentile2866.9
Q12930.5
median3010
Q33088.5
95-th percentile3152.1
Maximum3168
Range317
Interquartile range (IQR)158

Descriptive statistics

Standard deviation91.841773
Coefficient of variation (CV)0.030515681
Kurtosis-1.197418
Mean3009.6583
Median Absolute Deviation (MAD)79
Skewness-0.0046776284
Sum960081
Variance8434.9112
MonotonicityIncreasing
2023-12-13T05:10:45.706994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3060 2
 
0.6%
3061 1
 
0.3%
3068 1
 
0.3%
3067 1
 
0.3%
3066 1
 
0.3%
3065 1
 
0.3%
3064 1
 
0.3%
3063 1
 
0.3%
3062 1
 
0.3%
2851 1
 
0.3%
Other values (308) 308
96.6%
ValueCountFrequency (%)
2851 1
0.3%
2852 1
0.3%
2853 1
0.3%
2854 1
0.3%
2855 1
0.3%
2856 1
0.3%
2857 1
0.3%
2858 1
0.3%
2859 1
0.3%
2860 1
0.3%
ValueCountFrequency (%)
3168 1
0.3%
3167 1
0.3%
3166 1
0.3%
3165 1
0.3%
3164 1
0.3%
3163 1
0.3%
3162 1
0.3%
3161 1
0.3%
3160 1
0.3%
3159 1
0.3%

회의구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
임시회
174 
정례회
145 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row임시회
2nd row임시회
3rd row임시회
4th row임시회
5th row정례회

Common Values

ValueCountFrequency (%)
임시회 174
54.5%
정례회 145
45.5%

Length

2023-12-13T05:10:45.893502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:46.015711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
임시회 174
54.5%
정례회 145
45.5%

회의차수
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
305회
46 
296회
32 
284회
28 
303회
28 
295회
17 
Other values (20)
168 

Length

Max length10
Median length4
Mean length4.0752351
Min length4

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row281회
2nd row281회
3rd row281회
4th row281회
5th row282회

Common Values

ValueCountFrequency (%)
305회 46
14.4%
296회 32
 
10.0%
284회 28
 
8.8%
303회 28
 
8.8%
295회 17
 
5.3%
289회 16
 
5.0%
299회 16
 
5.0%
300회 15
 
4.7%
288회 14
 
4.4%
283회 13
 
4.1%
Other values (15) 94
29.5%

Length

2023-12-13T05:10:46.132947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
305회 46
14.2%
296회 32
 
9.9%
303회 30
 
9.3%
284회 28
 
8.7%
299회 18
 
5.6%
295회 17
 
5.3%
289회 16
 
5.0%
300회 16
 
5.0%
288회 14
 
4.3%
297회 14
 
4.3%
Other values (13) 92
28.5%

의안유형
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
조례안
185 
동의안
25 
예산안
24 
구유재산
 
17
기타
 
17
Other values (9)
51 

Length

Max length7
Median length3
Mean length3.2664577
Min length2

Unique

Unique2 ?
Unique (%)0.6%

Sample

1st row구유재산
2nd row의견청취의 건
3rd row보고의 건
4th row출석요구
5th row기타

Common Values

ValueCountFrequency (%)
조례안 185
58.0%
동의안 25
 
7.8%
예산안 24
 
7.5%
구유재산 17
 
5.3%
기타 17
 
5.3%
보고의 건 16
 
5.0%
의견청취의 건 11
 
3.4%
출석요구 9
 
2.8%
결의안 4
 
1.3%
행감 4
 
1.3%
Other values (4) 7
 
2.2%

Length

2023-12-13T05:10:46.291684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안 185
53.2%
건 29
 
8.3%
동의안 25
 
7.2%
예산안 24
 
6.9%
구유재산 17
 
4.9%
기타 17
 
4.9%
보고의 16
 
4.6%
의견청취의 11
 
3.2%
출석요구 9
 
2.6%
결의안 4
 
1.1%
Other values (5) 11
 
3.2%

제/개정
Categorical

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
-
132 
일부개정
89 
제정
86 
전부개정
 
9
폐지
 
1
Other values (2)
 
2

Length

Max length4
Median length2
Mean length2.2131661
Min length1

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row-
2nd row-
3rd row-
4th row-
5th row-

Common Values

ValueCountFrequency (%)
- 132
41.4%
일부개정 89
27.9%
제정 86
27.0%
전부개정 9
 
2.8%
폐지 1
 
0.3%
일괄개정 1
 
0.3%
<NA> 1
 
0.3%

Length

2023-12-13T05:10:46.455192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:46.590501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
132
41.4%
일부개정 89
27.9%
제정 86
27.0%
전부개정 9
 
2.8%
폐지 1
 
0.3%
일괄개정 1
 
0.3%
na 1
 
0.3%

안건명
Text

Distinct293
Distinct (%)91.8%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T05:10:46.890490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length38
Mean length29.394984
Min length8

Characters and Unicode

Total characters9377
Distinct characters319
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique275 ?
Unique (%)86.2%

Sample

1st row2018년 제4차 수시분 구유재산 관리계획(안)
2nd row사당5주택재건축 정비구역 및 정비계획 변경(안)에 관한 의견청취의 건
3rd row2018년 주요업무계획 보고의 건
4th row구청장 및 관계공무원 출석 요구의 건(제282회 1차 정례회)
5th row예산결산특별위원회 선임 및 위원 구성의 건
ValueCountFrequency (%)
서울특별시 179
 
8.9%
동작구 171
 
8.5%
관한 104
 
5.2%
및 103
 
5.1%
일부개정조례안 89
 
4.4%
조례안 84
 
4.2%
조례 81
 
4.0%
건 58
 
2.9%
설치 38
 
1.9%
지원에 26
 
1.3%
Other values (548) 1080
53.7%
2023-12-13T05:10:47.390749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1699
 
18.1%
조 294
 
3.1%
구 290
 
3.1%
례 288
 
3.1%
안 281
 
3.0%
동 256
 
2.7%
시 251
 
2.7%
작 214
 
2.3%
별 213
 
2.3%
특 209
 
2.2%
Other values (309) 5382
57.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7178
76.5%
Space Separator 1699
 
18.1%
Decimal Number 325
 
3.5%
Close Punctuation 68
 
0.7%
Open Punctuation 68
 
0.7%
Other Punctuation 24
 
0.3%
Lowercase Letter 7
 
0.1%
Uppercase Letter 6
 
0.1%
Control 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 294
 
4.1%
구 290
 
4.0%
례 288
 
4.0%
안 281
 
3.9%
동 256
 
3.6%
시 251
 
3.5%
작 214
 
3.0%
별 213
 
3.0%
특 209
 
2.9%
서 208
 
2.9%
Other values (278) 4674
65.1%
Decimal Number
ValueCountFrequency (%)
2 107
32.9%
0 95
29.2%
1 56
17.2%
9 24
 
7.4%
8 14
 
4.3%
4 8
 
2.5%
5 7
 
2.2%
3 7
 
2.2%
7 5
 
1.5%
6 2
 
0.6%
Lowercase Letter
ValueCountFrequency (%)
l 2
28.6%
e 1
14.3%
g 1
14.3%
n 1
14.3%
i 1
14.3%
y 1
14.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
W 1
16.7%
D 1
16.7%
Other Punctuation
ValueCountFrequency (%)
· 17
70.8%
? 6
 
25.0%
, 1
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 66
97.1%
』 2
 
2.9%
Open Punctuation
ValueCountFrequency (%)
( 66
97.1%
『 2
 
2.9%
Space Separator
ValueCountFrequency (%)
1699
100.0%
Control
ValueCountFrequency (%)
1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7178
76.5%
Common 2186
 
23.3%
Latin 13
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 294
 
4.1%
구 290
 
4.0%
례 288
 
4.0%
안 281
 
3.9%
동 256
 
3.6%
시 251
 
3.5%
작 214
 
3.0%
별 213
 
3.0%
특 209
 
2.9%
서 208
 
2.9%
Other values (278) 4674
65.1%
Common
ValueCountFrequency (%)
1699
77.7%
2 107
 
4.9%
0 95
 
4.3%
) 66
 
3.0%
( 66
 
3.0%
1 56
 
2.6%
9 24
 
1.1%
· 17
 
0.8%
8 14
 
0.6%
4 8
 
0.4%
Other values (10) 34
 
1.6%
Latin
ValueCountFrequency (%)
C 2
15.4%
l 2
15.4%
V 1
7.7%
T 1
7.7%
W 1
7.7%
e 1
7.7%
g 1
7.7%
n 1
7.7%
i 1
7.7%
y 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7177
76.5%
ASCII 2178
 
23.2%
None 21
 
0.2%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1699
78.0%
2 107
 
4.9%
0 95
 
4.4%
) 66
 
3.0%
( 66
 
3.0%
1 56
 
2.6%
9 24
 
1.1%
8 14
 
0.6%
4 8
 
0.4%
5 7
 
0.3%
Other values (18) 36
 
1.7%
Hangul
ValueCountFrequency (%)
조 294
 
4.1%
구 290
 
4.0%
례 288
 
4.0%
안 281
 
3.9%
동 256
 
3.6%
시 251
 
3.5%
작 214
 
3.0%
별 213
 
3.0%
특 209
 
2.9%
서 208
 
2.9%
Other values (277) 4673
65.1%
None
ValueCountFrequency (%)
· 17
81.0%
』 2
 
9.5%
『 2
 
9.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

발의자(대표발의자)
Categorical

Distinct23
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
동작구청장
168 
신민희
20 
최정아
 
14
민경희
 
12
최민규
 
11
Other values (18)
94 

Length

Max length9
Median length5
Mean length4.1316614
Min length2

Unique

Unique3 ?
Unique (%)0.9%

Sample

1st row동작구청장
2nd row동작구청장
3rd row동작구청장
4th row최민규
5th row의장

Common Values

ValueCountFrequency (%)
동작구청장 168
52.7%
신민희 20
 
6.3%
최정아 14
 
4.4%
민경희 12
 
3.8%
최민규 11
 
3.4%
의장 10
 
3.1%
신희근 10
 
3.1%
서정택 9
 
2.8%
전갑봉 8
 
2.5%
이미연 8
 
2.5%
Other values (13) 49
 
15.4%

Length

2023-12-13T05:10:47.555147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
동작구청장 168
52.5%
신민희 20
 
6.2%
최정아 14
 
4.4%
민경희 12
 
3.8%
최민규 11
 
3.4%
의장 10
 
3.1%
신희근 10
 
3.1%
서정택 9
 
2.8%
전갑봉 8
 
2.5%
이미연 8
 
2.5%
Other values (14) 50
 
15.6%

발의일
Text

Distinct81
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2023-12-13T05:10:47.834253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9153605
Min length1

Characters and Unicode

Total characters3163
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 (%)12.2%

Sample

1st row2018-08-16
2nd row2018-08-16
3rd row-
4th row2018-08-28
5th row-
ValueCountFrequency (%)
2020-11-05 33
 
10.3%
2019-11-07 27
 
8.5%
2020-09-24 18
 
5.6%
2018-11-08 16
 
5.0%
2019-09-26 14
 
4.4%
2020-09-25 11
 
3.4%
2020-01-29 11
 
3.4%
2019-05-02 11
 
3.4%
2018-10-10 11
 
3.4%
2019-05-31 9
 
2.8%
Other values (71) 158
49.5%
2023-12-13T05:10:48.208369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 834
26.4%
- 635
20.1%
2 604
19.1%
1 510
16.1%
9 189
 
6.0%
8 100
 
3.2%
5 88
 
2.8%
6 61
 
1.9%
3 60
 
1.9%
7 41
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2528
79.9%
Dash Punctuation 635
 
20.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 834
33.0%
2 604
23.9%
1 510
20.2%
9 189
 
7.5%
8 100
 
4.0%
5 88
 
3.5%
6 61
 
2.4%
3 60
 
2.4%
7 41
 
1.6%
4 41
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 635
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3163
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 834
26.4%
- 635
20.1%
2 604
19.1%
1 510
16.1%
9 189
 
6.0%
8 100
 
3.2%
5 88
 
2.8%
6 61
 
1.9%
3 60
 
1.9%
7 41
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3163
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 834
26.4%
- 635
20.1%
2 604
19.1%
1 510
16.1%
9 189
 
6.0%
8 100
 
3.2%
5 88
 
2.8%
6 61
 
1.9%
3 60
 
1.9%
7 41
 
1.3%

소관위원회
Categorical

HIGH CORRELATION 

Distinct6
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
행정재무위원회
139 
복지건설위원회
96 
본회의
42 
예산결산특별위원회
27 
의회운영위원회
14 

Length

Max length9
Median length7
Mean length6.6332288
Min length3

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
행정재무위원회 139
43.6%
복지건설위원회 96
30.1%
본회의 42
 
13.2%
예산결산특별위원회 27
 
8.5%
의회운영위원회 14
 
4.4%
<NA> 1
 
0.3%

Length

2023-12-13T05:10:48.356388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:48.470268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
행정재무위원회 139
43.6%
복지건설위원회 96
30.1%
본회의 42
 
13.2%
예산결산특별위원회 27
 
8.5%
의회운영위원회 14
 
4.4%
na 1
 
0.3%

위원회상정일
Categorical

HIGH CORRELATION 

Distinct50
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
<NA>
43 
2020-12-02
32 
2019-11-18
24 
2020-10-14
20 
2018-11-16
 
17
Other values (45)
183 

Length

Max length27
Median length10
Mean length9.5141066
Min length1

Unique

Unique12 ?
Unique (%)3.8%

Sample

1st row2018-08-31
2nd row2018-08-31
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
 
13.5%
2020-12-02 32
 
10.0%
2019-11-18 24
 
7.5%
2020-10-14 20
 
6.3%
2018-11-16 17
 
5.3%
2019-10-11 14
 
4.4%
2019-05-15 13
 
4.1%
2019-06-11 12
 
3.8%
2020-05-26 12
 
3.8%
2018-10-17 11
 
3.4%
Other values (40) 121
37.9%

Length

2023-12-13T05:10:48.603135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 43
 
13.1%
2020-12-02 34
 
10.4%
2019-11-18 24
 
7.3%
2020-10-14 20
 
6.1%
2018-11-16 17
 
5.2%
2019-10-11 14
 
4.3%
2019-05-15 13
 
4.0%
2019-06-11 12
 
3.7%
2020-05-26 12
 
3.7%
2018-10-17 11
 
3.4%
Other values (44) 127
38.8%

위원회결과
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
원안가결
205 
수정가결
58 
<NA>
42 
보고
 
6
채택
 
4
Other values (2)
 
4

Length

Max length4
Median length4
Mean length3.9122257
Min length2

Unique

Unique1 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 205
64.3%
수정가결 58
 
18.2%
<NA> 42
 
13.2%
보고 6
 
1.9%
채택 4
 
1.3%
보류 3
 
0.9%
부결 1
 
0.3%

Length

2023-12-13T05:10:48.763708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:48.909240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 205
64.3%
수정가결 58
 
18.2%
na 42
 
13.2%
보고 6
 
1.9%
채택 4
 
1.3%
보류 3
 
0.9%
부결 1
 
0.3%

본회의처리일
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
2020-12-04
34 
2019-11-22
26 
2020-10-19
25 
2018-11-21
 
19
2019-10-15
 
17
Other values (37)
198 

Length

Max length10
Median length10
Mean length9.7272727
Min length1

Unique

Unique5 ?
Unique (%)1.6%

Sample

1st row2018-09-03
2nd row2018-09-03
3rd row2018-08-24
4th row2018-09-03
5th row2018-09-06

Common Values

ValueCountFrequency (%)
2020-12-04 34
 
10.7%
2019-11-22 26
 
8.2%
2020-10-19 25
 
7.8%
2018-11-21 19
 
6.0%
2019-10-15 17
 
5.3%
2020-06-23 15
 
4.7%
2018-10-22 13
 
4.1%
2019-06-20 13
 
4.1%
2019-05-17 12
 
3.8%
2020-05-28 11
 
3.4%
Other values (32) 134
42.0%

Length

2023-12-13T05:10:49.032809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2020-12-04 34
 
10.7%
2019-11-22 26
 
8.2%
2020-10-19 25
 
7.8%
2018-11-21 19
 
6.0%
2019-10-15 17
 
5.3%
2020-06-23 15
 
4.7%
2018-10-22 13
 
4.1%
2019-06-20 13
 
4.1%
2019-05-17 12
 
3.8%
2020-05-28 11
 
3.4%
Other values (32) 134
42.0%

본회의결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size2.6 KiB
원안가결
227 
수정가결
58 
보고
 
13
채택
 
8
<NA>
 
8
Other values (2)
 
5

Length

Max length4
Median length4
Mean length3.8275862
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 227
71.2%
수정가결 58
 
18.2%
보고 13
 
4.1%
채택 8
 
2.5%
<NA> 8
 
2.5%
- 3
 
0.9%
보류 2
 
0.6%

Length

2023-12-13T05:10:49.163808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:10:49.294286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
원안가결 227
71.2%
수정가결 58
 
18.2%
보고 13
 
4.1%
채택 8
 
2.5%
na 8
 
2.5%
3
 
0.9%
보류 2
 
0.6%

Interactions

2023-12-13T05:10:44.959500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:10:49.395201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안건번호회의구분회의차수의안유형제/개정발의자(대표발의자)발의일소관위원회위원회상정일위원회결과본회의처리일본회의결과
안건번호1.0000.5360.9800.2990.2540.0000.9890.3300.9860.0870.9820.121
회의구분0.5361.0000.9910.2570.0000.2310.9990.1360.9940.0000.9920.000
회의차수0.9800.9911.0000.4730.0000.3940.9980.3970.9980.2650.9980.304
의안유형0.2990.2570.4731.0000.6950.8190.9060.8820.9150.8360.8910.785
제/개정0.2540.0000.0000.6951.0000.5120.0000.4640.0000.3330.0000.368
발의자(대표발의자)0.0000.2310.3940.8190.5121.0000.9180.6140.7170.4440.6540.415
발의일0.9890.9990.9980.9060.0000.9181.0000.8600.9950.6770.9970.886
소관위원회0.3300.1360.3970.8820.4640.6140.8601.0000.9250.3020.7310.441
위원회상정일0.9860.9940.9980.9150.0000.7170.9950.9251.0000.5710.9990.301
위원회결과0.0870.0000.2650.8360.3330.4440.6770.3020.5711.0000.7731.000
본회의처리일0.9820.9920.9980.8910.0000.6540.9970.7310.9990.7731.0000.923
본회의결과0.1210.0000.3040.7850.3680.4150.8860.4410.3011.0000.9231.000
2023-12-13T05:10:49.562279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
회의차수본회의결과소관위원회위원회상정일회의구분발의자(대표발의자)위원회결과본회의처리일제/개정의안유형
회의차수1.0000.1360.1760.8950.9570.1110.1180.9210.0000.164
본회의결과0.1361.0000.3180.1320.0000.1960.9980.6810.1400.533
소관위원회0.1760.3181.0000.6440.1650.3480.1980.4140.3360.699
위원회상정일0.8950.1320.6441.0000.8950.2360.2590.9350.0000.567
회의구분0.9570.0000.1650.8951.0000.1940.0000.9160.0000.197
발의자(대표발의자)0.1110.1960.3480.2360.1941.0000.2170.1970.2530.419
위원회결과0.1180.9980.1980.2590.0000.2171.0000.4840.1260.623
본회의처리일0.9210.6810.4140.9350.9160.1970.4841.0000.0000.500
제/개정0.0000.1400.3360.0000.0000.2530.1260.0001.0000.428
의안유형0.1640.5330.6990.5670.1970.4190.6230.5000.4281.000
2023-12-13T05:10:49.717883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
안건번호회의구분회의차수의안유형제/개정발의자(대표발의자)소관위원회위원회상정일위원회결과본회의처리일본회의결과
안건번호1.0000.4070.8340.1270.1360.0000.1420.8120.0430.8150.062
회의구분0.4071.0000.9570.1970.0000.1940.1650.8950.0000.9160.000
회의차수0.8340.9571.0000.1640.0000.1110.1760.8950.1180.9210.136
의안유형0.1270.1970.1641.0000.4280.4190.6990.5670.6230.5000.533
제/개정0.1360.0000.0000.4281.0000.2530.3360.0000.1260.0000.140
발의자(대표발의자)0.0000.1940.1110.4190.2531.0000.3480.2360.2170.1970.196
소관위원회0.1420.1650.1760.6990.3360.3481.0000.6440.1980.4140.318
위원회상정일0.8120.8950.8950.5670.0000.2360.6441.0000.2590.9350.132
위원회결과0.0430.0000.1180.6230.1260.2170.1980.2591.0000.4840.998
본회의처리일0.8150.9160.9210.5000.0000.1970.4140.9350.4841.0000.681
본회의결과0.0620.0000.1360.5330.1400.1960.3180.1320.9980.6811.000

Missing values

2023-12-13T05:10:45.146675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:10:45.413156image/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.

Sample

안건번호회의구분회의차수의안유형제/개정안건명발의자(대표발의자)발의일소관위원회위원회상정일위원회결과본회의처리일본회의결과
02851임시회281회구유재산-2018년 제4차 수시분 구유재산 관리계획(안)동작구청장2018-08-16행정재무위원회2018-08-31원안가결2018-09-03원안가결
12852임시회281회의견청취의 건-사당5주택재건축 정비구역 및 정비계획 변경(안)에 관한 의견청취의 건동작구청장2018-08-16복지건설위원회2018-08-31채택2018-09-03채택
22853임시회281회보고의 건-2018년 주요업무계획 보고의 건동작구청장-본회의<NA><NA>2018-08-24보고
32854임시회281회출석요구-구청장 및 관계공무원 출석 요구의 건(제282회 1차 정례회)최민규2018-08-28본회의<NA><NA>2018-09-03원안가결
42855정례회282회기타-예산결산특별위원회 선임 및 위원 구성의 건의장-본회의<NA><NA>2018-09-06원안가결
52856정례회282회조례안제정서울특별시 동작구 출자·출연기관의 운영에 관한 조례안서정택2018-08-30행정재무위원회2018-09-11원안가결2018-09-17원안가결
62857정례회282회결산안-2017 회계연도 세입·세출결산 및 예비비 지출승인의 건동작구청장2018-08-30예산결산특별위원회2018-09-12원안가결2018-09-17원안가결
72858정례회282회예산안-2018년도 제1회 추가경정예산안동작구청장2018-08-30예산결산특별위원회2018-09-14수정가결2018-09-17수정가결
82859정례회282회예산안-2018년도 공용 및 공공용의 청사 건립기금 운영 변경 계획안동작구청장2018-08-30예산결산특별위원회2018-09-14원안가결2018-09-17원안가결
92860정례회282회구유재산-2018년 제5차 수시분 구유재산 관리계획(안)동작구청장2018-08-30행정재무위원회2018-09-11원안가결2018-09-17원안가결
안건번호회의구분회의차수의안유형제/개정안건명발의자(대표발의자)발의일소관위원회위원회상정일위원회결과본회의처리일본회의결과
3093159임시회306회조례안일부개정서울특별시 동작구 건축안전특별회계 설치 및 운용 조례 일부개정조례안동작구청장2021-01-20행정재무위원회2021-02-23원안가결2021-02-24원안가결
3103160임시회306회조례안제정서울특별시 동작구 공정무역 지원 및 육성에 관한 조례안강한옥2021-01-21행정재무위원회2021-02-23원안가결2021-02-24원안가결
3113161임시회306회조례안제정서울특별시 동작구 재향경우회 지원에 관한 조례안김명기2021-01-21행정재무위원회2021-02-23원안가결2021-02-24원안가결
3123162임시회306회조례안제정서울특별시 동작구 작은도서관 육성 및 지원에 관한 조례안최민규2021-01-21행정재무위원회2021-02-23원안가결2021-02-24원안가결
3133163임시회306회조례안일부개정서울특별시 동작구 행정기구 설치 조례 일부개정조례안동작구청장2021-02-02행정재무위원회2021-02-08원안가결2021-02-17원안가결
3143164임시회306회조례안제정서울특별시 동작구 경력단절여성등의 경제활동 촉진에 관한 조례안최민규2021-02-04복지건설위원회2021-02-23원안가결2021-02-24원안가결
3153165임시회306회조례안제정서울특별시 동작구 장애인보호작업장 설치 및 운영에 관한 조례안이미연2021-02-04복지건설위원회2021-02-23수정가결2021-02-24수정가결
3163166임시회306회조례안제정서울특별시 동작구 시각장애인 이동권 보장을 위한 안내견 출입보장 조례안신민희2021-02-04복지건설위원회2021-02-23원안가결2021-02-24원안가결
3173167임시회306회조례안제정서울특별시 동작구 청소년 통행금지·제한구역 지정 및 운영에 관한 조례안민경희2021-02-04복지건설위원회2021-02-23수정가결2021-02-24수정가결
3183168임시회306회기타-2020 회계연도 세입·세출 결산검사위원 선임의 건의장2021-02-24본회의<NA><NA>2021-02-24원안가결