Overview

Dataset statistics

Number of variables17
Number of observations1208
Missing cells3926
Missing cells (%)19.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory160.6 KiB
Average record size in memory136.1 B

Variable types

Categorical4
Text7
DateTime6

Dataset

Description인천광역시 중구 지방의회 의안정보에 관한 정보입니다.파일명 인천광역시 중구 지방의회 의안정보내용 의안명, 제안자, 소관위원회 등
Author인천광역시 중구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15037879&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
본회의 처리결과 is highly overall correlated with 소관위원회 처리결과High correlation
소관위원회 처리결과 is highly overall correlated with 본회의 처리결과High correlation
대수 is highly overall correlated with 소관위원회High correlation
소관위원회 is highly overall correlated with 대수High correlation
소관위원회 처리결과 is highly imbalanced (67.7%)Imbalance
본회의 처리결과 is highly imbalanced (77.9%)Imbalance
제안일자 has 271 (22.4%) missing valuesMissing
소관위원회 회부일 has 396 (32.8%) missing valuesMissing
소관위원회 상정일 has 412 (34.1%) missing valuesMissing
소관위원회 의결일 has 415 (34.4%) missing valuesMissing
본회의 상정일 has 236 (19.5%) missing valuesMissing
본회의 의결일 has 236 (19.5%) missing valuesMissing
집행부 이송일 has 738 (61.1%) missing valuesMissing
비고 has 1206 (99.8%) missing valuesMissing

Reproduction

Analysis started2024-03-18 03:00:29.749397
Analysis finished2024-03-18 03:00:31.306305
Duration1.56 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
제8대
574 
제7대
486 
제9대
147 
<NA>
 
1

Length

Max length4
Median length3
Mean length3.0008278
Min length3

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row제7대
2nd row제7대
3rd row제7대
4th row제7대
5th row제7대

Common Values

ValueCountFrequency (%)
제8대 574
47.5%
제7대 486
40.2%
제9대 147
 
12.2%
<NA> 1
 
0.1%

Length

2024-03-18T12:00:31.378667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T12:00:31.486191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제8대 574
47.5%
제7대 486
40.2%
제9대 147
 
12.2%
na 1
 
0.1%

의안번호
Text

Distinct575
Distinct (%)47.7%
Missing3
Missing (%)0.2%
Memory size9.6 KiB
2024-03-18T12:00:31.823972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length3
Mean length2.7460581
Min length1

Characters and Unicode

Total characters3309
Distinct characters15
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

Unique93 ?
Unique (%)7.7%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
77 4
 
0.3%
1 3
 
0.2%
97 3
 
0.2%
130 3
 
0.2%
98 3
 
0.2%
99 3
 
0.2%
100 3
 
0.2%
101 3
 
0.2%
102 3
 
0.2%
103 3
 
0.2%
Other values (565) 1174
97.4%
2024-03-18T12:00:32.254768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 510
15.4%
2 453
13.7%
3 452
13.7%
4 437
13.2%
5 314
9.5%
6 239
7.2%
7 233
7.0%
8 222
6.7%
0 221
6.7%
9 217
6.6%
Other values (5) 11
 
0.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3298
99.7%
Dash Punctuation 7
 
0.2%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 510
15.5%
2 453
13.7%
3 452
13.7%
4 437
13.3%
5 314
9.5%
6 239
7.2%
7 233
7.1%
8 222
6.7%
0 221
6.7%
9 217
6.6%
Other Letter
ValueCountFrequency (%)
제 1
25.0%
호 1
25.0%
관 1
25.0%
련 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3305
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
1 510
15.4%
2 453
13.7%
3 452
13.7%
4 437
13.2%
5 314
9.5%
6 239
7.2%
7 233
7.0%
8 222
6.7%
0 221
6.7%
9 217
6.6%
Hangul
ValueCountFrequency (%)
제 1
25.0%
호 1
25.0%
관 1
25.0%
련 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3305
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 510
15.4%
2 453
13.7%
3 452
13.7%
4 437
13.2%
5 314
9.5%
6 239
7.2%
7 233
7.0%
8 222
6.7%
0 221
6.7%
9 217
6.6%
Hangul
ValueCountFrequency (%)
제 1
25.0%
호 1
25.0%
관 1
25.0%
련 1
25.0%

의안명
Text

Distinct858
Distinct (%)71.1%
Missing2
Missing (%)0.2%
Memory size9.6 KiB
2024-03-18T12:00:32.480345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length84
Median length47
Mean length26.210614
Min length5

Characters and Unicode

Total characters31610
Distinct characters409
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique778 ?
Unique (%)64.5%

Sample

1st row의장부의장 선거
2nd row제230회 인천광역시 중구의회(임시회) 회기결정의 건
3rd row2014년도 제1차 정례회 시기 변경의 건
4th row회의록 서명의원 선출의 건
5th row2013회계연도 세입세출결산 승인의 건
ValueCountFrequency (%)
인천광역시 675
 
9.6%
중구 558
 
7.9%
건 406
 
5.8%
조례 337
 
4.8%
일부개정조례안 273
 
3.9%
및 261
 
3.7%
관한 190
 
2.7%
조례안 157
 
2.2%
동의안 85
 
1.2%
회의록 82
 
1.2%
Other values (1192) 3995
56.9%
2024-03-18T12:00:32.841184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5851
 
18.5%
의 1035
 
3.3%
구 960
 
3.0%
조 913
 
2.9%
례 901
 
2.9%
시 881
 
2.8%
안 836
 
2.6%
인 828
 
2.6%
회 795
 
2.5%
역 765
 
2.4%
Other values (399) 17845
56.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 24222
76.6%
Space Separator 5851
 
18.5%
Decimal Number 1090
 
3.4%
Close Punctuation 163
 
0.5%
Open Punctuation 160
 
0.5%
Other Punctuation 74
 
0.2%
Uppercase Letter 26
 
0.1%
Lowercase Letter 15
 
< 0.1%
Math Symbol 6
 
< 0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 1035
 
4.3%
구 960
 
4.0%
조 913
 
3.8%
례 901
 
3.7%
시 881
 
3.6%
안 836
 
3.5%
인 828
 
3.4%
회 795
 
3.3%
역 765
 
3.2%
중 743
 
3.1%
Other values (347) 15565
64.3%
Uppercase Letter
ValueCountFrequency (%)
T 4
15.4%
I 4
15.4%
G 3
11.5%
X 2
 
7.7%
E 2
 
7.7%
H 2
 
7.7%
V 1
 
3.8%
D 1
 
3.8%
R 1
 
3.8%
O 1
 
3.8%
Other values (5) 5
19.2%
Lowercase Letter
ValueCountFrequency (%)
g 2
13.3%
e 2
13.3%
t 2
13.3%
k 1
6.7%
s 1
6.7%
n 1
6.7%
i 1
6.7%
h 1
6.7%
y 1
6.7%
r 1
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
2 370
33.9%
0 217
19.9%
1 183
16.8%
3 66
 
6.1%
6 49
 
4.5%
9 45
 
4.1%
8 44
 
4.0%
7 41
 
3.8%
5 39
 
3.6%
4 36
 
3.3%
Other Punctuation
ValueCountFrequency (%)
· 65
87.8%
, 7
 
9.5%
: 1
 
1.4%
※ 1
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 149
91.4%
」 11
 
6.7%
』 3
 
1.8%
Open Punctuation
ValueCountFrequency (%)
( 147
91.9%
「 10
 
6.2%
『 3
 
1.9%
Math Symbol
ValueCountFrequency (%)
~ 4
66.7%
→ 1
 
16.7%
～ 1
 
16.7%
Space Separator
ValueCountFrequency (%)
5851
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 24222
76.6%
Common 7347
 
23.2%
Latin 41
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 1035
 
4.3%
구 960
 
4.0%
조 913
 
3.8%
례 901
 
3.7%
시 881
 
3.6%
안 836
 
3.5%
인 828
 
3.4%
회 795
 
3.3%
역 765
 
3.2%
중 743
 
3.1%
Other values (347) 15565
64.3%
Latin
ValueCountFrequency (%)
T 4
 
9.8%
I 4
 
9.8%
G 3
 
7.3%
X 2
 
4.9%
g 2
 
4.9%
E 2
 
4.9%
e 2
 
4.9%
t 2
 
4.9%
H 2
 
4.9%
k 1
 
2.4%
Other values (17) 17
41.5%
Common
ValueCountFrequency (%)
5851
79.6%
2 370
 
5.0%
0 217
 
3.0%
1 183
 
2.5%
) 149
 
2.0%
( 147
 
2.0%
3 66
 
0.9%
· 65
 
0.9%
6 49
 
0.7%
9 45
 
0.6%
Other values (15) 205
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 24220
76.6%
ASCII 7293
 
23.1%
None 93
 
0.3%
Compat Jamo 2
 
< 0.1%
Arrows 1
 
< 0.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5851
80.2%
2 370
 
5.1%
0 217
 
3.0%
1 183
 
2.5%
) 149
 
2.0%
( 147
 
2.0%
3 66
 
0.9%
6 49
 
0.7%
9 45
 
0.6%
8 44
 
0.6%
Other values (34) 172
 
2.4%
Hangul
ValueCountFrequency (%)
의 1035
 
4.3%
구 960
 
4.0%
조 913
 
3.8%
례 901
 
3.7%
시 881
 
3.6%
안 836
 
3.5%
인 828
 
3.4%
회 795
 
3.3%
역 765
 
3.2%
중 743
 
3.1%
Other values (346) 15563
64.3%
None
ValueCountFrequency (%)
· 65
69.9%
」 11
 
11.8%
「 10
 
10.8%
『 3
 
3.2%
』 3
 
3.2%
～ 1
 
1.1%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%
Arrows
ValueCountFrequency (%)
→ 1
100.0%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

제안자
Text

Distinct72
Distinct (%)6.0%
Missing2
Missing (%)0.2%
Memory size9.6 KiB
2024-03-18T12:00:33.010952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length3
Mean length4.0041459
Min length1

Characters and Unicode

Total characters4829
Distinct characters99
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

Unique31 ?
Unique (%)2.6%

Sample

1st row
2nd row의장
3rd row의장
4th row의장
5th row구청장
ValueCountFrequency (%)
구청장 658
39.4%
의장 319
19.1%
의원 176
 
10.5%
등 120
 
7.2%
7명 56
 
3.3%
7인 52
 
3.1%
최찬용 29
 
1.7%
이종호 22
 
1.3%
행감특위위원장 18
 
1.1%
박상길 17
 
1.0%
Other values (51) 205
 
12.3%
2024-03-18T12:00:33.289490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1008
20.9%
구 661
13.7%
청 658
13.6%
의 511
10.6%
478
9.9%
원 230
 
4.8%
등 123
 
2.5%
7 109
 
2.3%
명 82
 
1.7%
위 66
 
1.4%
Other values (89) 903
18.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4214
87.3%
Space Separator 478
 
9.9%
Decimal Number 128
 
2.7%
Other Punctuation 7
 
0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1008
23.9%
구 661
15.7%
청 658
15.6%
의 511
12.1%
원 230
 
5.5%
등 123
 
2.9%
명 82
 
1.9%
위 66
 
1.6%
인 64
 
1.5%
이 51
 
1.2%
Other values (78) 760
18.0%
Decimal Number
ValueCountFrequency (%)
7 109
85.2%
2 7
 
5.5%
8 4
 
3.1%
3 3
 
2.3%
6 2
 
1.6%
4 2
 
1.6%
1 1
 
0.8%
Space Separator
ValueCountFrequency (%)
478
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4214
87.3%
Common 615
 
12.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1008
23.9%
구 661
15.7%
청 658
15.6%
의 511
12.1%
원 230
 
5.5%
등 123
 
2.9%
명 82
 
1.9%
위 66
 
1.6%
인 64
 
1.5%
이 51
 
1.2%
Other values (78) 760
18.0%
Common
ValueCountFrequency (%)
478
77.7%
7 109
 
17.7%
2 7
 
1.1%
, 7
 
1.1%
8 4
 
0.7%
3 3
 
0.5%
6 2
 
0.3%
4 2
 
0.3%
( 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4214
87.3%
ASCII 615
 
12.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1008
23.9%
구 661
15.7%
청 658
15.6%
의 511
12.1%
원 230
 
5.5%
등 123
 
2.9%
명 82
 
1.9%
위 66
 
1.6%
인 64
 
1.5%
이 51
 
1.2%
Other values (78) 760
18.0%
ASCII
ValueCountFrequency (%)
478
77.7%
7 109
 
17.7%
2 7
 
1.1%
, 7
 
1.1%
8 4
 
0.7%
3 3
 
0.5%
6 2
 
0.3%
4 2
 
0.3%
( 1
 
0.2%
1 1
 
0.2%

제안일자
Date

MISSING 

Distinct272
Distinct (%)29.0%
Missing271
Missing (%)22.4%
Memory size9.6 KiB
Minimum2014-06-30 00:00:00
Maximum2023-05-18 00:00:00
2024-03-18T12:00:33.406625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:33.527115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
운영총무
383 
<NA>
362 
도시정책
149 
주민복지건설
121 
총무
94 
Other values (15)
99 

Length

Max length37
Median length4
Mean length4.1854305
Min length1

Unique

Unique7 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
운영총무 383
31.7%
<NA> 362
30.0%
도시정책 149
 
12.3%
주민복지건설 121
 
10.0%
총무 94
 
7.8%
예산결산특위 48
 
4.0%
예결특위 16
 
1.3%
13
 
1.1%
본회의 4
 
0.3%
행정감사특위 4
 
0.3%
Other values (10) 14
 
1.2%

Length

2024-03-18T12:00:33.656545image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
운영총무 383
31.5%
na 362
29.8%
도시정책 149
 
12.3%
주민복지건설 121
 
10.0%
총무 94
 
7.7%
예산결산특위 48
 
4.0%
예결특위 16
 
1.3%
본회의 4
 
0.3%
행정감사특위 4
 
0.3%
재개발을 4
 
0.3%
Other values (19) 30
 
2.5%

소관위원회 회부일
Date

MISSING 

Distinct182
Distinct (%)22.4%
Missing396
Missing (%)32.8%
Memory size9.6 KiB
Minimum2014-07-02 00:00:00
Maximum2023-05-10 00:00:00
2024-03-18T12:00:33.782033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:33.920552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 상정일
Date

MISSING 

Distinct198
Distinct (%)24.9%
Missing412
Missing (%)34.1%
Memory size9.6 KiB
Minimum2014-07-14 00:00:00
Maximum2023-05-18 00:00:00
2024-03-18T12:00:34.032910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:34.135157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회 의결일
Text

MISSING 

Distinct195
Distinct (%)24.6%
Missing415
Missing (%)34.4%
Memory size9.6 KiB
2024-03-18T12:00:34.348078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9886507
Min length1

Characters and Unicode

Total characters7921
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

Unique80 ?
Unique (%)10.1%

Sample

1st row2014-09-04
2nd row2014-07-14
3rd row2014-07-14
4th row2014-07-15
5th row2014-07-16
ValueCountFrequency (%)
2022-12-13 23
 
2.9%
2021-11-26 22
 
2.8%
2021-12-28 22
 
2.8%
2016-12-07 19
 
2.4%
2020-12-04 19
 
2.4%
2015-11-02 18
 
2.3%
2021-09-09 17
 
2.1%
2015-09-07 16
 
2.0%
2015-12-07 16
 
2.0%
2020-02-26 15
 
1.9%
Other values (185) 606
76.4%
2024-03-18T12:00:34.687915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1808
22.8%
0 1755
22.2%
- 1585
20.0%
1 1284
16.2%
3 263
 
3.3%
5 240
 
3.0%
6 212
 
2.7%
9 211
 
2.7%
7 201
 
2.5%
8 191
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6336
80.0%
Dash Punctuation 1585
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1808
28.5%
0 1755
27.7%
1 1284
20.3%
3 263
 
4.2%
5 240
 
3.8%
6 212
 
3.3%
9 211
 
3.3%
7 201
 
3.2%
8 191
 
3.0%
4 171
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1585
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7921
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1808
22.8%
0 1755
22.2%
- 1585
20.0%
1 1284
16.2%
3 263
 
3.3%
5 240
 
3.0%
6 212
 
2.7%
9 211
 
2.7%
7 201
 
2.5%
8 191
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7921
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1808
22.8%
0 1755
22.2%
- 1585
20.0%
1 1284
16.2%
3 263
 
3.3%
5 240
 
3.0%
6 212
 
2.7%
9 211
 
2.7%
7 201
 
2.5%
8 191
 
2.4%

소관위원회 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
원안가결
702 
<NA>
408 
수정가결
 
54
청취(동의)
 
8
기타의견
 
7
Other values (20)
 
29

Length

Max length20
Median length4
Mean length4.0844371
Min length1

Unique

Unique17 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 702
58.1%
<NA> 408
33.8%
수정가결 54
 
4.5%
청취(동의) 8
 
0.7%
기타의견 7
 
0.6%
찬성의견 7
 
0.6%
부결(본회의상정안함) 3
 
0.2%
보류 2
 
0.2%
원안가결(자구정정) 1
 
0.1%
보류(2015-09-07) 원안가결 1
 
0.1%
Other values (15) 15
 
1.2%

Length

2024-03-18T12:00:34.819178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 703
57.9%
na 408
33.6%
수정가결 55
 
4.5%
청취(동의 8
 
0.7%
기타의견 7
 
0.6%
찬성의견 7
 
0.6%
부결(본회의상정안함 3
 
0.2%
30일 2
 
0.2%
출석정지 2
 
0.2%
보류 2
 
0.2%
Other values (17) 17
 
1.4%

본회의 상정일
Date

MISSING 

Distinct130
Distinct (%)13.4%
Missing236
Missing (%)19.5%
Memory size9.6 KiB
Minimum2014-07-01 00:00:00
Maximum2023-05-18 00:00:00
2024-03-18T12:00:34.914695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:35.029945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 의결일
Date

MISSING 

Distinct130
Distinct (%)13.4%
Missing236
Missing (%)19.5%
Memory size9.6 KiB
Minimum2014-07-01 00:00:00
Maximum2023-05-18 00:00:00
2024-03-18T12:00:35.136332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:35.260815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct43
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
원안가결
1014 
<NA>
 
56
수정가결
 
54
보고
 
18
찬성의견
 
11
Other values (38)
 
55

Length

Max length43
Median length4
Mean length4.4850993
Min length2

Unique

Unique28 ?
Unique (%)2.3%

Sample

1st row의 장: 임관만 부의장: 김철홍
2nd row원안가결
3rd row원안가결
4th row김철홍 유명복
5th row원안가결

Common Values

ValueCountFrequency (%)
원안가결 1014
83.9%
<NA> 56
 
4.6%
수정가결 54
 
4.5%
보고 18
 
1.5%
찬성의견 11
 
0.9%
기타의견 6
 
0.5%
위원:6명 ※위원장:특위에서 호선 3
 
0.2%
9.22 3
 
0.2%
이정재, 한성수 3
 
0.2%
부결 2
 
0.2%
Other values (33) 38
 
3.1%

Length

2024-03-18T12:00:35.377589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1014
78.2%
na 56
 
4.3%
수정가결 54
 
4.2%
보고 18
 
1.4%
찬성의견 11
 
0.8%
기타의견 6
 
0.5%
호선 5
 
0.4%
5
 
0.4%
김철홍 5
 
0.4%
위원:6명 5
 
0.4%
Other values (69) 117
 
9.0%

집행부 이송일
Text

MISSING 

Distinct67
Distinct (%)14.3%
Missing738
Missing (%)61.1%
Memory size9.6 KiB
2024-03-18T12:00:35.559272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length10
Mean length10.682979
Min length8

Characters and Unicode

Total characters5021
Distinct characters89
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique23 ?
Unique (%)4.9%

Sample

1st row※폐기:2015-04-24(위원회 부결후 7일 경과)
2nd row ※유명복,임관만,김철홍,이정재의원 공동발의 수정안으로 의결
3rd row2016-12-13 집행부 철회요청에 따른 철회
4th row2016-08-03 집행부 철회요청에 따른 철회
5th row위원:6명 ※위원장:예결특위에서 호선
ValueCountFrequency (%)
의원 30
 
5.1%
2021-12-19 26
 
4.4%
2021-12-17 25
 
4.2%
2021-05-03 25
 
4.2%
2021-09-14 23
 
3.9%
2021-12-29 23
 
3.9%
2018-12-18 20
 
3.4%
2021-10-18 18
 
3.0%
2019-06-19 15
 
2.5%
2021-04-01 15
 
2.5%
Other values (87) 372
62.8%
2024-03-18T12:00:35.901434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 926
18.4%
1 850
16.9%
- 842
16.8%
0 811
16.2%
9 199
 
4.0%
7 154
 
3.1%
8 145
 
2.9%
123
 
2.4%
3 101
 
2.0%
4 83
 
1.7%
Other values (79) 787
15.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3384
67.4%
Dash Punctuation 842
 
16.8%
Other Letter 578
 
11.5%
Space Separator 123
 
2.4%
Other Punctuation 90
 
1.8%
Close Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 64
 
11.1%
위 43
 
7.4%
의 38
 
6.6%
명 22
 
3.8%
호 20
 
3.5%
이 17
 
2.9%
에 16
 
2.8%
정 16
 
2.8%
장 15
 
2.6%
김 15
 
2.6%
Other values (62) 312
54.0%
Decimal Number
ValueCountFrequency (%)
2 926
27.4%
1 850
25.1%
0 811
24.0%
9 199
 
5.9%
7 154
 
4.6%
8 145
 
4.3%
3 101
 
3.0%
4 83
 
2.5%
6 58
 
1.7%
5 57
 
1.7%
Other Punctuation
ValueCountFrequency (%)
, 40
44.4%
: 32
35.6%
※ 18
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 842
100.0%
Space Separator
ValueCountFrequency (%)
123
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4443
88.5%
Hangul 578
 
11.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 64
 
11.1%
위 43
 
7.4%
의 38
 
6.6%
명 22
 
3.8%
호 20
 
3.5%
이 17
 
2.9%
에 16
 
2.8%
정 16
 
2.8%
장 15
 
2.6%
김 15
 
2.6%
Other values (62) 312
54.0%
Common
ValueCountFrequency (%)
2 926
20.8%
1 850
19.1%
- 842
19.0%
0 811
18.3%
9 199
 
4.5%
7 154
 
3.5%
8 145
 
3.3%
123
 
2.8%
3 101
 
2.3%
4 83
 
1.9%
Other values (7) 209
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4425
88.1%
Hangul 578
 
11.5%
Punctuation 18
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 926
20.9%
1 850
19.2%
- 842
19.0%
0 811
18.3%
9 199
 
4.5%
7 154
 
3.5%
8 145
 
3.3%
123
 
2.8%
3 101
 
2.3%
4 83
 
1.9%
Other values (6) 191
 
4.3%
Hangul
ValueCountFrequency (%)
원 64
 
11.1%
위 43
 
7.4%
의 38
 
6.6%
명 22
 
3.8%
호 20
 
3.5%
이 17
 
2.9%
에 16
 
2.8%
정 16
 
2.8%
장 15
 
2.6%
김 15
 
2.6%
Other values (62) 312
54.0%
Punctuation
ValueCountFrequency (%)
※ 18
100.0%

처리회기
Text

Distinct83
Distinct (%)6.9%
Missing9
Missing (%)0.7%
Memory size9.6 KiB
2024-03-18T12:00:36.148114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0041701
Min length3

Characters and Unicode

Total characters3602
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row230
2nd row230
3rd row230
4th row230
5th row233
ValueCountFrequency (%)
289 37
 
3.1%
307 33
 
2.8%
254 33
 
2.8%
298 31
 
2.6%
243 29
 
2.4%
244 29
 
2.4%
271 28
 
2.3%
296 27
 
2.2%
293 26
 
2.2%
310 25
 
2.1%
Other values (72) 902
75.2%
2024-03-18T12:00:36.472946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1116
31.0%
3 409
 
11.4%
9 320
 
8.9%
4 317
 
8.8%
8 301
 
8.4%
0 284
 
7.9%
7 253
 
7.0%
6 224
 
6.2%
5 217
 
6.0%
1 159
 
4.4%
Other values (2) 2
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3600
99.9%
Other Punctuation 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1116
31.0%
3 409
 
11.4%
9 320
 
8.9%
4 317
 
8.8%
8 301
 
8.4%
0 284
 
7.9%
7 253
 
7.0%
6 224
 
6.2%
5 217
 
6.0%
1 159
 
4.4%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1116
31.0%
3 409
 
11.4%
9 320
 
8.9%
4 317
 
8.8%
8 301
 
8.4%
0 284
 
7.9%
7 253
 
7.0%
6 224
 
6.2%
5 217
 
6.0%
1 159
 
4.4%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1116
31.0%
3 409
 
11.4%
9 320
 
8.9%
4 317
 
8.8%
8 301
 
8.4%
0 284
 
7.9%
7 253
 
7.0%
6 224
 
6.2%
5 217
 
6.0%
1 159
 
4.4%
Other values (2) 2
 
0.1%

비고
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing1206
Missing (%)99.8%
Memory size9.6 KiB
2024-03-18T12:00:36.607803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8
Mean length8
Min length4

Characters and Unicode

Total characters16
Distinct characters11
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

Unique2 ?
Unique (%)100.0%

Sample

1st row자구정정
2nd row유명복 의원 등 7명
ValueCountFrequency (%)
자구정정 1
20.0%
유명복 1
20.0%
의원 1
20.0%
등 1
20.0%
7명 1
20.0%
2024-03-18T12:00:36.848511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4
25.0%
정 2
12.5%
명 2
12.5%
자 1
 
6.2%
구 1
 
6.2%
유 1
 
6.2%
복 1
 
6.2%
의 1
 
6.2%
원 1
 
6.2%
등 1
 
6.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11
68.8%
Space Separator 4
 
25.0%
Decimal Number 1
 
6.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 2
18.2%
명 2
18.2%
자 1
9.1%
구 1
9.1%
유 1
9.1%
복 1
9.1%
의 1
9.1%
원 1
9.1%
등 1
9.1%
Space Separator
ValueCountFrequency (%)
4
100.0%
Decimal Number
ValueCountFrequency (%)
7 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11
68.8%
Common 5
31.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 2
18.2%
명 2
18.2%
자 1
9.1%
구 1
9.1%
유 1
9.1%
복 1
9.1%
의 1
9.1%
원 1
9.1%
등 1
9.1%
Common
ValueCountFrequency (%)
4
80.0%
7 1
 
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11
68.8%
ASCII 5
31.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4
80.0%
7 1
 
20.0%
Hangul
ValueCountFrequency (%)
정 2
18.2%
명 2
18.2%
자 1
9.1%
구 1
9.1%
유 1
9.1%
복 1
9.1%
의 1
9.1%
원 1
9.1%
등 1
9.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
Minimum2023-06-30 00:00:00
Maximum2023-06-30 00:00:00
2024-03-18T12:00:36.934541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T12:00:37.005059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-18T12:00:37.067679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수제안자소관위원회소관위원회 처리결과본회의 처리결과집행부 이송일처리회기비고
대수1.0000.6020.7440.4240.3160.9961.000NaN
제안자0.6021.0000.9520.9020.0000.7240.452NaN
소관위원회0.7440.9521.0000.7780.7160.8940.9060.000
소관위원회 처리결과0.4240.9020.7781.0000.9990.8880.6840.000
본회의 처리결과0.3160.0000.7160.9991.0000.6650.8670.000
집행부 이송일0.9960.7240.8940.8880.6651.0000.9990.000
처리회기1.0000.4520.9060.6840.8670.9991.0000.000
비고NaNNaN0.0000.0000.0000.0000.0001.000
2024-03-18T12:00:37.420661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의 처리결과소관위원회소관위원회 처리결과대수
본회의 처리결과1.0000.4180.9450.152
소관위원회0.4181.0000.3640.545
소관위원회 처리결과0.9450.3641.0000.214
대수0.1520.5450.2141.000
2024-03-18T12:00:37.494062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수소관위원회소관위원회 처리결과본회의 처리결과
대수1.0000.5450.2140.152
소관위원회0.5451.0000.3640.418
소관위원회 처리결과0.2140.3641.0000.945
본회의 처리결과0.1520.4180.9451.000

Missing values

2024-03-18T12:00:30.830023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T12:00:30.996657image/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.
2024-03-18T12:00:31.153530image/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

대수의안번호의안명제안자제안일자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일처리회기비고데이터기준일자
0제7대1의장부의장 선거2014-07-01<NA><NA><NA><NA><NA>2014-07-012014-07-01의 장: 임관만 부의장: 김철홍<NA>230<NA>2023-06-30
1제7대2제230회 인천광역시 중구의회(임시회) 회기결정의 건의장2014-07-01<NA><NA><NA><NA><NA>2014-07-012014-07-01원안가결<NA>230<NA>2023-06-30
2제7대32014년도 제1차 정례회 시기 변경의 건의장2014-07-01<NA><NA><NA><NA><NA>2014-07-012014-07-01원안가결<NA>230<NA>2023-06-30
3제7대4회의록 서명의원 선출의 건의장2014-07-01<NA><NA><NA><NA><NA>2014-07-012014-07-01김철홍 유명복<NA>230<NA>2023-06-30
4제7대52013회계연도 세입세출결산 승인의 건구청장2014-06-30상임위예산결산특위2014-09-012014-09-022014-09-04원안가결2014-09-052014-09-05원안가결<NA>233<NA>2023-06-30
5제7대6인천광역시 중구 마을공동체 만들기 지원 조례안구청장2014-07-01총무2014-07-022014-07-142014-07-14수정가결2014-07-182014-07-18수정가결<NA>231<NA>2023-06-30
6제7대7세월호 희생자가족에 대한 구세 감면의 건구청장2014-07-01총무2014-07-022014-07-142014-07-14원안가결2014-07-182014-07-18원안가결<NA>231<NA>2023-06-30
7제7대8인천광역시 중구 참전유공자 지원에 관한 조례 전부개정조례안구청장2014-07-01주민복지건설2014-07-022014-07-152014-07-15원안가결2014-07-182014-07-18원안가결<NA>231<NA>2023-06-30
8제7대9상임위원회 위원 선임의 건(전반기)의장2014-07-02<NA><NA><NA><NA><NA>2014-07-022014-07-02총무: 김영훈,이정재,한성수 주복: 김철홍,유명복,김규찬<NA>230<NA>2023-06-30
9제7대10상임위원장 선거(전반기)의장2014-07-02<NA><NA><NA><NA><NA>2014-07-022014-07-02총무:김영훈 주복:유명복<NA>230<NA>2023-06-30
대수의안번호의안명제안자제안일자소관위원회소관위원회 회부일소관위원회 상정일소관위원회 의결일소관위원회 처리결과본회의 상정일본회의 의결일본회의 처리결과집행부 이송일처리회기비고데이터기준일자
1198제9대137인천광역시 중구 도로점용허가 및 도로점용료 등 징수 조례안이종호 의원2023-04-21도시정책2023-04-212023-05-012023-05-01원안가결2023-05-032023-05-03원안가결2021-05-03310<NA>2023-06-30
1199제9대138제310회 인천광역시 중구의회(임시회) 회기결정의 건의장2023-04-26<NA><NA><NA><NA><NA>2023-04-262023-04-26원안가결<NA>310<NA>2023-06-30
1200제9대1392023년도 행정사무감사 실시 시기 및 기간 결정의 건의장2023-04-26<NA><NA><NA><NA><NA>2023-04-262023-04-26원안가결<NA>310<NA>2023-06-30
1201제9대140행정사무감사특별위원회 구성의 건의장2023-04-26<NA><NA><NA><NA><NA>2023-04-262023-04-26원안가결<NA>310<NA>2023-06-30
1202제9대141회의록 서명의원 선출의 건의장2023-04-26<NA><NA><NA><NA><NA>2023-04-262023-04-26원안가결<NA>310<NA>2023-06-30
1203제9대142휴회의 건의장2023-04-28<NA><NA><NA><NA><NA>2023-04-282023-04-28원안가결<NA>310<NA>2023-06-30
1204제9대1432023년도 의원 공무국외출장 결과 보고의 건강후공 의원 등 7인2023-05-01<NA><NA><NA><NA><NA>2023-05-032023-05-03<NA><NA>310<NA>2023-06-30
1205제9대144인천광역시 중·동구 통합조정(중구·동구 → 가칭)제물포구·영종구) 행정체제 개편(안)에 대한 의견제시의 건구청장2023-05-10운영총무2023-05-102023-05-182023-05-18찬성의견2023-05-182023-05-18찬성의견2021-05-18311<NA>2023-06-30
1206제9대145제311회 인천광역시 중구의회(임시회) 회기결정의 건의장2023-05-18<NA><NA><NA><NA><NA>2023-05-182023-05-18원안가결<NA>311<NA>2023-06-30
1207제9대146회의록 서명의원 선출의 건의장2023-05-18<NA><NA><NA><NA><NA>2023-05-182023-05-18원안가결<NA>311<NA>2023-06-30