Overview

Dataset statistics

Number of variables15
Number of observations1972
Missing cells3196
Missing cells (%)10.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory231.2 KiB
Average record size in memory120.1 B

Variable types

Text7
DateTime5
Categorical3

Dataset

Description서울특별시 광진구 기초의회 의안정보(의안명, 제안자, 제안일자, 소관 위원회, 위원회 회부일, 위원회 의결일, 처리결과, 제안회기, 본회의 의결일, 본회의 처리결과, 집행부 이송일, 공포일자, 공포번호)
Author서울특별시 광진구
URLhttps://www.data.go.kr/data/15038016/fileData.do

Alerts

데이터 기준일 is highly overall correlated with 소관 위원회 and 1 other fieldsHigh correlation
위원회 처리결과 is highly overall correlated with 데이터 기준일High correlation
소관 위원회 is highly overall correlated with 데이터 기준일High correlation
위원회 처리결과 is highly imbalanced (59.7%)Imbalance
데이터 기준일 is highly imbalanced (99.4%)Imbalance
제안일자 has 106 (5.4%) missing valuesMissing
위원회 회부일 has 351 (17.8%) missing valuesMissing
위원회 의결일(상정일) has 349 (17.7%) missing valuesMissing
제안회기 has 27 (1.4%) missing valuesMissing
본회의 의결일(상정일) has 248 (12.6%) missing valuesMissing
본회의 처리결과 has 67 (3.4%) missing valuesMissing
집행부 이송일 has 521 (26.4%) missing valuesMissing
공포일자 has 1112 (56.4%) missing valuesMissing
공포번호 has 407 (20.6%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:01:18.822433
Analysis finished2023-12-12 16:01:20.802133
Duration1.98 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Text

Distinct1963
Distinct (%)99.7%
Missing4
Missing (%)0.2%
Memory size15.5 KiB
2023-12-13T01:01:21.230643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length4
Mean length3.4456301
Min length1

Characters and Unicode

Total characters6781
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

Unique1958 ?
Unique (%)99.5%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
1940 2
 
0.1%
1446 2
 
0.1%
1949 2
 
0.1%
1986 2
 
0.1%
1142 2
 
0.1%
1307 1
 
0.1%
1306 1
 
0.1%
1314 1
 
0.1%
1317 1
 
0.1%
1316 1
 
0.1%
Other values (1953) 1953
99.2%
2023-12-13T01:01:21.940886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 1560
23.0%
4 603
 
8.9%
6 594
 
8.8%
8 594
 
8.8%
2 593
 
8.7%
7 592
 
8.7%
5 590
 
8.7%
3 585
 
8.6%
9 569
 
8.4%
0 494
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6774
99.9%
Dash Punctuation 7
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1560
23.0%
4 603
 
8.9%
6 594
 
8.8%
8 594
 
8.8%
2 593
 
8.8%
7 592
 
8.7%
5 590
 
8.7%
3 585
 
8.6%
9 569
 
8.4%
0 494
 
7.3%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6781
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 1560
23.0%
4 603
 
8.9%
6 594
 
8.8%
8 594
 
8.8%
2 593
 
8.7%
7 592
 
8.7%
5 590
 
8.7%
3 585
 
8.6%
9 569
 
8.4%
0 494
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6781
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 1560
23.0%
4 603
 
8.9%
6 594
 
8.8%
8 594
 
8.8%
2 593
 
8.7%
7 592
 
8.7%
5 590
 
8.7%
3 585
 
8.6%
9 569
 
8.4%
0 494
 
7.3%

의안명
Text

Distinct1578
Distinct (%)80.1%
Missing1
Missing (%)0.1%
Memory size15.5 KiB
2023-12-13T01:01:22.280035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length151
Median length52
Mean length28.213597
Min length6

Characters and Unicode

Total characters55609
Distinct characters425
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

Unique1412 ?
Unique (%)71.6%

Sample

1st row서울특별시광진구음식물쓰레기수집운반및재활용촉진을위한조례안
2nd row재해대책및관급공사조사특별위원회구성안
3rd row재해대책및관급공사조사계획안
4th row재해예방대책에관한건의안
5th row서울특별시광진구건축조례중개정조례안
ValueCountFrequency (%)
서울특별시 739
 
7.6%
광진구 671
 
6.9%
조례 617
 
6.3%
일부개정조례안 517
 
5.3%
관한 472
 
4.8%
및 412
 
4.2%
조례안 271
 
2.8%
서울특별시광진구 235
 
2.4%
건 159
 
1.6%
설치 146
 
1.5%
Other values (1871) 5535
56.6%
2023-12-13T01:01:22.820659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7931
 
14.3%
조 2106
 
3.8%
례 2057
 
3.7%
구 1941
 
3.5%
안 1732
 
3.1%
진 1594
 
2.9%
시 1531
 
2.8%
광 1512
 
2.7%
별 1502
 
2.7%
특 1489
 
2.7%
Other values (415) 32214
57.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 45154
81.2%
Space Separator 7931
 
14.3%
Decimal Number 1921
 
3.5%
Close Punctuation 187
 
0.3%
Open Punctuation 186
 
0.3%
Other Punctuation 159
 
0.3%
Math Symbol 46
 
0.1%
Dash Punctuation 16
 
< 0.1%
Uppercase Letter 8
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2106
 
4.7%
례 2057
 
4.6%
구 1941
 
4.3%
안 1732
 
3.8%
진 1594
 
3.5%
시 1531
 
3.4%
광 1512
 
3.3%
별 1502
 
3.3%
특 1489
 
3.3%
서 1429
 
3.2%
Other values (383) 28261
62.6%
Decimal Number
ValueCountFrequency (%)
0 601
31.3%
2 587
30.6%
1 337
17.5%
9 99
 
5.2%
8 58
 
3.0%
4 51
 
2.7%
6 50
 
2.6%
3 49
 
2.6%
5 47
 
2.4%
7 42
 
2.2%
Other Punctuation
ValueCountFrequency (%)
· 118
74.2%
, 22
 
13.8%
: 10
 
6.3%
. 8
 
5.0%
' 1
 
0.6%
Close Punctuation
ValueCountFrequency (%)
) 177
94.7%
』 6
 
3.2%
」 3
 
1.6%
] 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 176
94.6%
『 6
 
3.2%
「 3
 
1.6%
[ 1
 
0.5%
Math Symbol
ValueCountFrequency (%)
~ 44
95.7%
< 1
 
2.2%
> 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
C 4
50.0%
T 2
25.0%
V 2
25.0%
Space Separator
ValueCountFrequency (%)
7931
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 45154
81.2%
Common 10446
 
18.8%
Latin 9
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2106
 
4.7%
례 2057
 
4.6%
구 1941
 
4.3%
안 1732
 
3.8%
진 1594
 
3.5%
시 1531
 
3.4%
광 1512
 
3.3%
별 1502
 
3.3%
특 1489
 
3.3%
서 1429
 
3.2%
Other values (383) 28261
62.6%
Common
ValueCountFrequency (%)
7931
75.9%
0 601
 
5.8%
2 587
 
5.6%
1 337
 
3.2%
) 177
 
1.7%
( 176
 
1.7%
· 118
 
1.1%
9 99
 
0.9%
8 58
 
0.6%
4 51
 
0.5%
Other values (18) 311
 
3.0%
Latin
ValueCountFrequency (%)
C 4
44.4%
T 2
22.2%
V 2
22.2%
e 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 45151
81.2%
ASCII 10319
 
18.6%
None 136
 
0.2%
Compat Jamo 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7931
76.9%
0 601
 
5.8%
2 587
 
5.7%
1 337
 
3.3%
) 177
 
1.7%
( 176
 
1.7%
9 99
 
1.0%
8 58
 
0.6%
4 51
 
0.5%
6 50
 
0.5%
Other values (17) 252
 
2.4%
Hangul
ValueCountFrequency (%)
조 2106
 
4.7%
례 2057
 
4.6%
구 1941
 
4.3%
안 1732
 
3.8%
진 1594
 
3.5%
시 1531
 
3.4%
광 1512
 
3.3%
별 1502
 
3.3%
특 1489
 
3.3%
서 1429
 
3.2%
Other values (382) 28258
62.6%
None
ValueCountFrequency (%)
· 118
86.8%
』 6
 
4.4%
『 6
 
4.4%
」 3
 
2.2%
「 3
 
2.2%
Compat Jamo
ValueCountFrequency (%)
ㆍ 3
100.0%

제안자
Text

Distinct273
Distinct (%)13.9%
Missing3
Missing (%)0.2%
Memory size15.5 KiB
2023-12-13T01:01:23.075187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length38
Mean length6.5632301
Min length2

Characters and Unicode

Total characters12923
Distinct characters176
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique96 ?
Unique (%)4.9%

Sample

1st row청소과
2nd row추윤구
3rd row위원장
4th row위원장
5th row건축과
ValueCountFrequency (%)
기획공보과 123
 
5.9%
총무과 94
 
4.5%
재무과 80
 
3.8%
박성연 74
 
3.6%
광진구청장(기획예산과 70
 
3.4%
세무1과 44
 
2.1%
도시개발과 43
 
2.1%
광진구청장(복지정책과 39
 
1.9%
외 37
 
1.8%
자치행정과 34
 
1.6%
Other values (255) 1441
69.3%
2023-12-13T01:01:23.467096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 1200
 
9.3%
장 671
 
5.2%
청 612
 
4.7%
) 583
 
4.5%
( 583
 
4.5%
진 582
 
4.5%
구 575
 
4.4%
광 559
 
4.3%
무 349
 
2.7%
정 295
 
2.3%
Other values (166) 6914
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11357
87.9%
Close Punctuation 583
 
4.5%
Open Punctuation 583
 
4.5%
Decimal Number 179
 
1.4%
Space Separator 156
 
1.2%
Other Punctuation 61
 
0.5%
Uppercase Letter 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 1200
 
10.6%
장 671
 
5.9%
청 612
 
5.4%
진 582
 
5.1%
구 575
 
5.1%
광 559
 
4.9%
무 349
 
3.1%
정 295
 
2.6%
기 278
 
2.4%
지 250
 
2.2%
Other values (151) 5986
52.7%
Decimal Number
ValueCountFrequency (%)
1 82
45.8%
8 21
 
11.7%
5 19
 
10.6%
6 15
 
8.4%
4 14
 
7.8%
3 11
 
6.1%
2 9
 
5.0%
7 6
 
3.4%
9 2
 
1.1%
Uppercase Letter
ValueCountFrequency (%)
F 2
50.0%
T 2
50.0%
Close Punctuation
ValueCountFrequency (%)
) 583
100.0%
Open Punctuation
ValueCountFrequency (%)
( 583
100.0%
Space Separator
ValueCountFrequency (%)
156
100.0%
Other Punctuation
ValueCountFrequency (%)
, 61
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11357
87.9%
Common 1562
 
12.1%
Latin 4
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 1200
 
10.6%
장 671
 
5.9%
청 612
 
5.4%
진 582
 
5.1%
구 575
 
5.1%
광 559
 
4.9%
무 349
 
3.1%
정 295
 
2.6%
기 278
 
2.4%
지 250
 
2.2%
Other values (151) 5986
52.7%
Common
ValueCountFrequency (%)
) 583
37.3%
( 583
37.3%
156
 
10.0%
1 82
 
5.2%
, 61
 
3.9%
8 21
 
1.3%
5 19
 
1.2%
6 15
 
1.0%
4 14
 
0.9%
3 11
 
0.7%
Other values (3) 17
 
1.1%
Latin
ValueCountFrequency (%)
F 2
50.0%
T 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11357
87.9%
ASCII 1566
 
12.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 1200
 
10.6%
장 671
 
5.9%
청 612
 
5.4%
진 582
 
5.1%
구 575
 
5.1%
광 559
 
4.9%
무 349
 
3.1%
정 295
 
2.6%
기 278
 
2.4%
지 250
 
2.2%
Other values (151) 5986
52.7%
ASCII
ValueCountFrequency (%)
) 583
37.2%
( 583
37.2%
156
 
10.0%
1 82
 
5.2%
, 61
 
3.9%
8 21
 
1.3%
5 19
 
1.2%
6 15
 
1.0%
4 14
 
0.9%
3 11
 
0.7%
Other values (5) 21
 
1.3%

제안일자
Date

MISSING 

Distinct775
Distinct (%)41.5%
Missing106
Missing (%)5.4%
Memory size15.5 KiB
Minimum1998-07-21 00:00:00
Maximum2022-12-15 00:00:00
2023-12-13T01:01:23.663029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:23.855261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관 위원회
Categorical

HIGH CORRELATION 

Distinct34
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
기획행정
374 
복지건설
329 
기획행정위원회
319 
복지건설위원회
316 
없음
189 
Other values (29)
445 

Length

Max length27
Median length23
Mean length5.2682556
Min length2

Unique

Unique9 ?
Unique (%)0.5%

Sample

1st row시민건설
2nd row없음
3rd row없음
4th row없음
5th row시민건설

Common Values

ValueCountFrequency (%)
기획행정 374
19.0%
복지건설 329
16.7%
기획행정위원회 319
16.2%
복지건설위원회 316
16.0%
없음 189
9.6%
의회운영위원회 85
 
4.3%
의회운영 83
 
4.2%
예산결산특별위원회 63
 
3.2%
<NA> 28
 
1.4%
예산결산 26
 
1.3%
Other values (24) 160
8.1%

Length

2023-12-13T01:01:24.055254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기획행정 374
18.9%
복지건설 329
16.6%
기획행정위원회 320
16.2%
복지건설위원회 316
16.0%
없음 189
9.6%
의회운영위원회 85
 
4.3%
의회운영 83
 
4.2%
예산결산특별위원회 63
 
3.2%
na 28
 
1.4%
예산결산 26
 
1.3%
Other values (30) 166
8.4%

위원회 회부일
Date

MISSING 

Distinct265
Distinct (%)16.3%
Missing351
Missing (%)17.8%
Memory size15.5 KiB
Minimum1998-09-08 00:00:00
Maximum2022-11-28 00:00:00
2023-12-13T01:01:24.179065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:24.311370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회 의결일(상정일)
Text

MISSING 

Distinct339
Distinct (%)20.9%
Missing349
Missing (%)17.7%
Memory size15.5 KiB
2023-12-13T01:01:24.605617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.004313
Min length4

Characters and Unicode

Total characters16237
Distinct characters16
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)5.4%

Sample

1st row1998-09-22
2nd row1998-09-22
3rd row1998-09-22
4th row1998-09-22
5th row1998-09-22
ValueCountFrequency (%)
2000-10-14 28
 
1.7%
2021-10-19 24
 
1.5%
2022-01-19 23
 
1.4%
2020-11-13 22
 
1.4%
2000-12-13 20
 
1.2%
2008-04-17 20
 
1.2%
2022-12-02 19
 
1.2%
2017-09-08 18
 
1.1%
2011-06-23 18
 
1.1%
2016-12-16 16
 
1.0%
Other values (329) 1415
87.2%
2023-12-13T01:01:25.368808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4100
25.3%
2 3240
20.0%
- 3238
19.9%
1 2438
15.0%
9 702
 
4.3%
3 510
 
3.1%
8 481
 
3.0%
6 430
 
2.6%
4 376
 
2.3%
7 373
 
2.3%
Other values (6) 349
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12952
79.8%
Dash Punctuation 3238
 
19.9%
Other Punctuation 31
 
0.2%
Other Letter 16
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4100
31.7%
2 3240
25.0%
1 2438
18.8%
9 702
 
5.4%
3 510
 
3.9%
8 481
 
3.7%
6 430
 
3.3%
4 376
 
2.9%
7 373
 
2.9%
5 302
 
2.3%
Other Letter
ValueCountFrequency (%)
심 4
25.0%
사 4
25.0%
보 4
25.0%
류 4
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 3238
100.0%
Other Punctuation
ValueCountFrequency (%)
. 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16221
99.9%
Hangul 16
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4100
25.3%
2 3240
20.0%
- 3238
20.0%
1 2438
15.0%
9 702
 
4.3%
3 510
 
3.1%
8 481
 
3.0%
6 430
 
2.7%
4 376
 
2.3%
7 373
 
2.3%
Other values (2) 333
 
2.1%
Hangul
ValueCountFrequency (%)
심 4
25.0%
사 4
25.0%
보 4
25.0%
류 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16221
99.9%
Hangul 16
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4100
25.3%
2 3240
20.0%
- 3238
20.0%
1 2438
15.0%
9 702
 
4.3%
3 510
 
3.1%
8 481
 
3.0%
6 430
 
2.7%
4 376
 
2.3%
7 373
 
2.3%
Other values (2) 333
 
2.1%
Hangul
ValueCountFrequency (%)
심 4
25.0%
사 4
25.0%
보 4
25.0%
류 4
25.0%

위원회 처리결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct28
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
없음
960 
원안가결
714 
수정가결
106 
<NA>
 
47
가결
 
42
Other values (23)
103 

Length

Max length10
Median length2
Mean length3.0172414
Min length2

Unique

Unique6 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
없음 960
48.7%
원안가결 714
36.2%
수정가결 106
 
5.4%
<NA> 47
 
2.4%
가결 42
 
2.1%
심사보류 19
 
1.0%
부결 14
 
0.7%
가 결 13
 
0.7%
채택 9
 
0.5%
보고 7
 
0.4%
Other values (18) 41
 
2.1%

Length

2023-12-13T01:01:25.668726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
없음 960
47.8%
원안가결 714
35.6%
수정가결 106
 
5.3%
na 47
 
2.3%
가결 42
 
2.1%
결 20
 
1.0%
심사보류 19
 
0.9%
가 16
 
0.8%
부결 14
 
0.7%
채택 9
 
0.4%
Other values (17) 61
 
3.0%

제안회기
Text

MISSING 

Distinct243
Distinct (%)12.5%
Missing27
Missing (%)1.4%
Memory size15.5 KiB
2023-12-13T01:01:25.932889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length5
Mean length7.0647815
Min length2

Characters and Unicode

Total characters13741
Distinct characters27
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

Unique44 ?
Unique (%)2.3%

Sample

1st row제30회 임시회
2nd row제28회 임시회
3rd row제29회 임시회
4th row제29회 임시회
5th row제30회 임시회
ValueCountFrequency (%)
임시회 408
 
15.4%
정례회 125
 
4.7%
없음 106
 
4.0%
본회의 66
 
2.5%
제248회 42
 
1.6%
제257회 37
 
1.4%
임시회제2차 35
 
1.3%
제240회 34
 
1.3%
제116회 33
 
1.2%
제230회 33
 
1.2%
Other values (240) 1737
65.4%
2023-12-13T01:01:26.387686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 2848
20.7%
제 2152
15.7%
2 1219
8.9%
1 1200
 
8.7%
772
 
5.6%
시 575
 
4.2%
임 575
 
4.2%
4 565
 
4.1%
3 412
 
3.0%
5 392
 
2.9%
Other values (17) 3031
22.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7566
55.1%
Decimal Number 5403
39.3%
Space Separator 772
 
5.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 2848
37.6%
제 2152
28.4%
시 575
 
7.6%
임 575
 
7.6%
차 320
 
4.2%
정 226
 
3.0%
례 213
 
2.8%
의 212
 
2.8%
본 212
 
2.8%
없 106
 
1.4%
Other values (6) 127
 
1.7%
Decimal Number
ValueCountFrequency (%)
2 1219
22.6%
1 1200
22.2%
4 565
10.5%
3 412
 
7.6%
5 392
 
7.3%
9 383
 
7.1%
0 373
 
6.9%
7 308
 
5.7%
8 294
 
5.4%
6 257
 
4.8%
Space Separator
ValueCountFrequency (%)
772
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7566
55.1%
Common 6175
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 2848
37.6%
제 2152
28.4%
시 575
 
7.6%
임 575
 
7.6%
차 320
 
4.2%
정 226
 
3.0%
례 213
 
2.8%
의 212
 
2.8%
본 212
 
2.8%
없 106
 
1.4%
Other values (6) 127
 
1.7%
Common
ValueCountFrequency (%)
2 1219
19.7%
1 1200
19.4%
772
12.5%
4 565
9.1%
3 412
 
6.7%
5 392
 
6.3%
9 383
 
6.2%
0 373
 
6.0%
7 308
 
5.0%
8 294
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7566
55.1%
ASCII 6175
44.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 2848
37.6%
제 2152
28.4%
시 575
 
7.6%
임 575
 
7.6%
차 320
 
4.2%
정 226
 
3.0%
례 213
 
2.8%
의 212
 
2.8%
본 212
 
2.8%
없 106
 
1.4%
Other values (6) 127
 
1.7%
ASCII
ValueCountFrequency (%)
2 1219
19.7%
1 1200
19.4%
772
12.5%
4 565
9.1%
3 412
 
6.7%
5 392
 
6.3%
9 383
 
6.2%
0 373
 
6.0%
7 308
 
5.0%
8 294
 
4.8%

본회의 의결일(상정일)
Date

MISSING 

Distinct300
Distinct (%)17.4%
Missing248
Missing (%)12.6%
Memory size15.5 KiB
Minimum1998-08-11 00:00:00
Maximum2022-12-16 00:00:00
2023-12-13T01:01:26.571676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:26.760482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Text

MISSING 

Distinct66
Distinct (%)3.5%
Missing67
Missing (%)3.4%
Memory size15.5 KiB
2023-12-13T01:01:26.985880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length3.8194226
Min length2

Characters and Unicode

Total characters7276
Distinct characters66
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

Unique34 ?
Unique (%)1.8%

Sample

1st row원안가결
2nd row채택
3rd row승인
4th row채택
5th row원안가결
ValueCountFrequency (%)
원안가결 1259
63.6%
수정가결 218
 
11.0%
없음 95
 
4.8%
가결 41
 
2.1%
결 40
 
2.0%
가 27
 
1.4%
승인 26
 
1.3%
보고 25
 
1.3%
의견채택 25
 
1.3%
보 22
 
1.1%
Other values (51) 201
 
10.2%
2023-12-13T01:01:27.392005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
결 1585
21.8%
가 1550
21.3%
원 1281
17.6%
안 1280
17.6%
정 223
 
3.1%
수 221
 
3.0%
157
 
2.2%
없 98
 
1.3%
음 98
 
1.3%
채 59
 
0.8%
Other values (56) 724
10.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7103
97.6%
Space Separator 157
 
2.2%
Decimal Number 8
 
0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
결 1585
22.3%
가 1550
21.8%
원 1281
18.0%
안 1280
18.0%
정 223
 
3.1%
수 221
 
3.1%
없 98
 
1.4%
음 98
 
1.4%
채 59
 
0.8%
택 59
 
0.8%
Other values (46) 649
9.1%
Decimal Number
ValueCountFrequency (%)
0 3
37.5%
6 1
 
12.5%
9 1
 
12.5%
7 1
 
12.5%
1 1
 
12.5%
2 1
 
12.5%
Space Separator
ValueCountFrequency (%)
157
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7103
97.6%
Common 173
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
결 1585
22.3%
가 1550
21.8%
원 1281
18.0%
안 1280
18.0%
정 223
 
3.1%
수 221
 
3.1%
없 98
 
1.4%
음 98
 
1.4%
채 59
 
0.8%
택 59
 
0.8%
Other values (46) 649
9.1%
Common
ValueCountFrequency (%)
157
90.8%
0 3
 
1.7%
( 3
 
1.7%
) 3
 
1.7%
- 2
 
1.2%
6 1
 
0.6%
9 1
 
0.6%
7 1
 
0.6%
1 1
 
0.6%
2 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7103
97.6%
ASCII 173
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
결 1585
22.3%
가 1550
21.8%
원 1281
18.0%
안 1280
18.0%
정 223
 
3.1%
수 221
 
3.1%
없 98
 
1.4%
음 98
 
1.4%
채 59
 
0.8%
택 59
 
0.8%
Other values (46) 649
9.1%
ASCII
ValueCountFrequency (%)
157
90.8%
0 3
 
1.7%
( 3
 
1.7%
) 3
 
1.7%
- 2
 
1.2%
6 1
 
0.6%
9 1
 
0.6%
7 1
 
0.6%
1 1
 
0.6%
2 1
 
0.6%

집행부 이송일
Date

MISSING 

Distinct221
Distinct (%)15.2%
Missing521
Missing (%)26.4%
Memory size15.5 KiB
Minimum1998-08-31 00:00:00
Maximum2022-12-19 00:00:00
2023-12-13T01:01:27.751125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:28.140316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일자
Date

MISSING 

Distinct196
Distinct (%)22.8%
Missing1112
Missing (%)56.4%
Memory size15.5 KiB
Minimum1998-10-15 00:00:00
Maximum2020-10-28 00:00:00
2023-12-13T01:01:28.330276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:01:28.502858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct629
Distinct (%)40.2%
Missing407
Missing (%)20.6%
Memory size15.5 KiB
2023-12-13T01:01:28.875564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length2
Mean length3.2485623
Min length2

Characters and Unicode

Total characters5084
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

Unique622 ?
Unique (%)39.7%

Sample

1st row제203호
2nd row없음
3rd row없음
4th row없음
5th row제205호
ValueCountFrequency (%)
없음 931
59.5%
제928호 2
 
0.1%
제19호 2
 
0.1%
제508호 2
 
0.1%
제22호 2
 
0.1%
제21호 2
 
0.1%
제766호 2
 
0.1%
제870호 1
 
0.1%
제872호 1
 
0.1%
제875호 1
 
0.1%
Other values (619) 619
39.6%
2023-12-13T01:01:29.481052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
없 931
18.3%
음 931
18.3%
제 635
12.5%
호 633
12.5%
1 232
 
4.6%
9 229
 
4.5%
8 222
 
4.4%
7 214
 
4.2%
5 213
 
4.2%
6 211
 
4.2%
Other values (5) 633
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3130
61.6%
Decimal Number 1948
38.3%
Space Separator 6
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 232
11.9%
9 229
11.8%
8 222
11.4%
7 214
11.0%
5 213
10.9%
6 211
10.8%
0 199
10.2%
2 151
7.8%
4 151
7.8%
3 126
6.5%
Other Letter
ValueCountFrequency (%)
없 931
29.7%
음 931
29.7%
제 635
20.3%
호 633
20.2%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3130
61.6%
Common 1954
38.4%

Most frequent character per script

Common
ValueCountFrequency (%)
1 232
11.9%
9 229
11.7%
8 222
11.4%
7 214
11.0%
5 213
10.9%
6 211
10.8%
0 199
10.2%
2 151
7.7%
4 151
7.7%
3 126
6.4%
Hangul
ValueCountFrequency (%)
없 931
29.7%
음 931
29.7%
제 635
20.3%
호 633
20.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3130
61.6%
ASCII 1954
38.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
없 931
29.7%
음 931
29.7%
제 635
20.3%
호 633
20.2%
ASCII
ValueCountFrequency (%)
1 232
11.9%
9 229
11.7%
8 222
11.4%
7 214
11.0%
5 213
10.9%
6 211
10.8%
0 199
10.2%
2 151
7.7%
4 151
7.7%
3 126
6.4%

데이터 기준일
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size15.5 KiB
2023-01-01
1971 
<NA>
 
1

Length

Max length10
Median length10
Mean length9.9969574
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row2023-01-01
2nd row2023-01-01
3rd row2023-01-01
4th row2023-01-01
5th row2023-01-01

Common Values

ValueCountFrequency (%)
2023-01-01 1971
99.9%
<NA> 1
 
0.1%

Length

2023-12-13T01:01:29.657939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:01:29.793028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-01-01 1971
99.9%
na 1
 
0.1%

Correlations

2023-12-13T01:01:29.876211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관 위원회위원회 처리결과본회의 처리결과
소관 위원회1.0000.5660.811
위원회 처리결과0.5661.0000.929
본회의 처리결과0.8110.9291.000
2023-12-13T01:01:29.985193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
데이터 기준일위원회 처리결과소관 위원회
데이터 기준일1.0001.0001.000
위원회 처리결과1.0001.0000.159
소관 위원회1.0000.1591.000
2023-12-13T01:01:30.086905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소관 위원회위원회 처리결과데이터 기준일
소관 위원회1.0000.1591.000
위원회 처리결과0.1591.0001.000
데이터 기준일1.0001.0001.000

Missing values

2023-12-13T01:01:19.971400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:01:20.268046image/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.
2023-12-13T01:01:20.578398image/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

번호의안명제안자제안일자소관 위원회위원회 회부일위원회 의결일(상정일)위원회 처리결과제안회기본회의 의결일(상정일)본회의 처리결과집행부 이송일공포일자공포번호데이터 기준일
01서울특별시광진구음식물쓰레기수집운반및재활용촉진을위한조례안청소과1998-07-21시민건설1998-09-081998-09-22없음제30회 임시회1998-09-23원안가결1998-09-251998-10-15제203호2023-01-01
12재해대책및관급공사조사특별위원회구성안추윤구1998-08-05없음<NA><NA>없음제28회 임시회1998-08-11채택<NA><NA>없음2023-01-01
23재해대책및관급공사조사계획안위원장1998-08-24없음<NA><NA>없음제29회 임시회1998-08-28승인1998-08-31<NA>없음2023-01-01
34재해예방대책에관한건의안위원장1998-08-24없음<NA><NA>없음제29회 임시회1998-08-28채택1998-08-31<NA>없음2023-01-01
45서울특별시광진구건축조례중개정조례안건축과1998-08-26시민건설1998-09-081998-09-22없음제30회 임시회1998-09-23원안가결1998-09-251998-10-15제205호2023-01-01
56광진구청장및관계공무원과광진문화원인사출석요구안추윤구1998-08-24없음<NA><NA>없음제29회 임시회1998-08-29채택<NA><NA>없음2023-01-01
67주택개량재개발사업시행조례중개정조례안주택과1998-08-31시민건설1998-09-081998-09-22없음제30회 임시회1998-09-23원안가결1998-09-251998-10-15제206호2023-01-01
78서울특별시광진구환경기본조례안환경과1998-08-31시민건설1998-09-081998-09-22없음제30회 임시회<NA>부 결<NA><NA>없음2023-01-01
89서울특별시광진구환경모범도시광진21실천위원회설치및운영에관한조례안환경과1998-08-31시민건설1998-09-081998-09-22없음제30회 임시회<NA>부 결<NA><NA>없음2023-01-01
910서울특별시광진구재해대책기금운용관리조례중개정조례안하수과1998-09-04시민건설1998-09-081998-09-22없음제30회 임시회1998-09-23수정가결1998-09-251998-10-15제207호2023-01-01
번호의안명제안자제안일자소관 위원회위원회 회부일위원회 의결일(상정일)위원회 처리결과제안회기본회의 의결일(상정일)본회의 처리결과집행부 이송일공포일자공포번호데이터 기준일
19621995서울특별시 광진구 체육시설의 설치 및 운영에 관한 조례 일부개정조례안최일환2022-11-15기획행정위원회2022-11-252022-12-01원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19631996서울특별시 광진구 4차산업 기업 육성 및 지원에 관한 조례안김강산2022-11-15기획행정위원회2022-11-252022-12-01원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19641997서울특별시 광진구 아동·청소년 대상 성범죄 예방 및 교육에 관한 조례안신진호2022-11-15복지건설위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19651998서울특별시 광진구 청년 기본 조례 일부개정조례안서민우2022-11-15복지건설위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19661999서울특별시 광진구 산업재해 예방 및 노동안전보건 지원 조례안신진호2022-11-15복지건설위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19672000서울특별시 광진구 자전거이용 활성화에 관한 조례 전부개정조례안김상배2022-11-14복지건설위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19682001서울특별시 광진구 웰다잉 문화조성에 관한 조례안전은혜2022-11-07복지건설위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19692002서울특별시 광진구의회 의원 의정활동비 등 지급에 관한 조례 일부개정조례안서민우(대표)의원 외 6인2022-11-21의회운영위원회2022-11-252022-12-02원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19702003서울특별시 광진구 재향군인 예우 및 지원에 관한 조례 일부개정조례안이동길(대표),서민우2022-11-21기획행정위원회2022-11-252022-12-01원안가결제257회2022-12-16원안가결2022-12-19<NA><NA>2023-01-01
19712004서울특별시 광진구의회 교섭단체 구성 및 운영에 관한 조례안김강산2022-11-07의회운영위원회2022-11-282022-12-02철 회<NA><NA><NA><NA><NA><NA><NA>