Overview

Dataset statistics

Number of variables18
Number of observations2084
Missing cells8447
Missing cells (%)22.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory293.2 KiB
Average record size in memory144.1 B

Variable types

Text10
DateTime4
Categorical4

Dataset

Description경상북도 영덕군 지방의회 의한 현황에 대한 데이터로 건명,의안 발의자,제출자,발의일,본회의 상정일,본회의 결과 등의 항목을 제공하고자 합니다.
URLhttps://www.data.go.kr/data/15038760/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
특별위원회명 is highly overall correlated with 본회의 결과High correlation
본회의 결과 is highly overall correlated with 특별위원회명High correlation
특별위원회명 is highly imbalanced (80.6%)Imbalance
결과 is highly imbalanced (79.7%)Imbalance
본회의 결과 is highly imbalanced (74.9%)Imbalance
제출자 has 165 (7.9%) missing valuesMissing
상정일(특위시작일) has 1829 (87.8%) missing valuesMissing
처리일(특위종료일) has 1839 (88.2%) missing valuesMissing
심사보고서 접수일 has 1667 (80.0%) missing valuesMissing
본회의 보고일 has 77 (3.7%) missing valuesMissing
본회의 상정일 has 78 (3.7%) missing valuesMissing
본회의 처리일 has 78 (3.7%) missing valuesMissing
집행부 이송일 has 360 (17.3%) missing valuesMissing
공포일 has 1177 (56.5%) missing valuesMissing
공포번호 has 1165 (55.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:24:52.863563
Analysis finished2023-12-12 00:24:54.529903
Duration1.67 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Text

Distinct2083
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2023-12-12T09:24:54.752894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length6.8982726
Min length6

Characters and Unicode

Total characters14376
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

Unique2082 ?
Unique (%)99.9%

Sample

1st row1991-1
2nd row1991-2
3rd row1991-3
4th row1991-4
5th row1991-5
ValueCountFrequency (%)
2000-45-1 2
 
0.1%
2015-40 1
 
< 0.1%
2015-68 1
 
< 0.1%
2015-67 1
 
< 0.1%
2015-66 1
 
< 0.1%
2015-65 1
 
< 0.1%
2015-64 1
 
< 0.1%
2015-63 1
 
< 0.1%
2015-62 1
 
< 0.1%
2015-61 1
 
< 0.1%
Other values (2073) 2073
99.5%
2023-12-12T09:24:55.161700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 2744
19.1%
0 2586
18.0%
- 2105
14.6%
1 2053
14.3%
9 1428
9.9%
3 782
 
5.4%
4 660
 
4.6%
5 640
 
4.5%
6 492
 
3.4%
7 453
 
3.2%
Other values (2) 433
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 12268
85.3%
Dash Punctuation 2105
 
14.6%
Space Separator 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 2744
22.4%
0 2586
21.1%
1 2053
16.7%
9 1428
11.6%
3 782
 
6.4%
4 660
 
5.4%
5 640
 
5.2%
6 492
 
4.0%
7 453
 
3.7%
8 430
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 2105
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 14376
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 2744
19.1%
0 2586
18.0%
- 2105
14.6%
1 2053
14.3%
9 1428
9.9%
3 782
 
5.4%
4 660
 
4.6%
5 640
 
4.5%
6 492
 
3.4%
7 453
 
3.2%
Other values (2) 433
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14376
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 2744
19.1%
0 2586
18.0%
- 2105
14.6%
1 2053
14.3%
9 1428
9.9%
3 782
 
5.4%
4 660
 
4.6%
5 640
 
4.5%
6 492
 
3.4%
7 453
 
3.2%
Other values (2) 433
 
3.0%

건명
Text

Distinct1682
Distinct (%)80.7%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2023-12-12T09:24:55.400078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length80
Median length50
Mean length22.415067
Min length4

Characters and Unicode

Total characters46713
Distinct characters443
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1506 ?
Unique (%)72.3%

Sample

1st row영덕군의회 의원 세미나 참석
2nd row지품 상수도 사업비 기채신청
3rd row농공단지 추진의 건
4th row1990년도 결산검사위원 선임의 건
5th row영덕군 도시공원의 점용허가 및 녹지의 관리에 대한 조례안
ValueCountFrequency (%)
영덕군 932
 
10.1%
조례안 397
 
4.3%
및 368
 
4.0%
일부개정조례안 296
 
3.2%
관한 271
 
2.9%
개정조례안 257
 
2.8%
조례 245
 
2.7%
심사보고서 135
 
1.5%
승인안 125
 
1.4%
추가경정예산안 100
 
1.1%
Other values (1834) 6067
66.0%
2023-12-12T09:24:55.796809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7116
 
15.2%
조 1960
 
4.2%
안 1931
 
4.1%
례 1885
 
4.0%
영 1540
 
3.3%
정 1374
 
2.9%
군 1308
 
2.8%
덕 1233
 
2.6%
개 845
 
1.8%
0 799
 
1.7%
Other values (433) 26722
57.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36476
78.1%
Space Separator 7116
 
15.2%
Decimal Number 2787
 
6.0%
Open Punctuation 109
 
0.2%
Close Punctuation 109
 
0.2%
Uppercase Letter 56
 
0.1%
Other Punctuation 50
 
0.1%
Lowercase Letter 6
 
< 0.1%
Math Symbol 2
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1960
 
5.4%
안 1931
 
5.3%
례 1885
 
5.2%
영 1540
 
4.2%
정 1374
 
3.8%
군 1308
 
3.6%
덕 1233
 
3.4%
개 845
 
2.3%
관 716
 
2.0%
지 709
 
1.9%
Other values (397) 22975
63.0%
Uppercase Letter
ValueCountFrequency (%)
O 16
28.6%
M 11
19.6%
U 11
19.6%
S 3
 
5.4%
T 3
 
5.4%
Y 2
 
3.6%
A 2
 
3.6%
B 2
 
3.6%
L 2
 
3.6%
W 1
 
1.8%
Other values (3) 3
 
5.4%
Decimal Number
ValueCountFrequency (%)
0 799
28.7%
2 760
27.3%
1 473
17.0%
9 316
 
11.3%
3 127
 
4.6%
5 64
 
2.3%
6 63
 
2.3%
7 62
 
2.2%
4 62
 
2.2%
8 61
 
2.2%
Other Punctuation
ValueCountFrequency (%)
. 26
52.0%
· 17
34.0%
, 7
 
14.0%
Lowercase Letter
ValueCountFrequency (%)
s 2
33.3%
o 2
33.3%
c 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 107
98.2%
「 2
 
1.8%
Close Punctuation
ValueCountFrequency (%)
) 107
98.2%
」 2
 
1.8%
Space Separator
ValueCountFrequency (%)
7116
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36475
78.1%
Common 10175
 
21.8%
Latin 62
 
0.1%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1960
 
5.4%
안 1931
 
5.3%
례 1885
 
5.2%
영 1540
 
4.2%
정 1374
 
3.8%
군 1308
 
3.6%
덕 1233
 
3.4%
개 845
 
2.3%
관 716
 
2.0%
지 709
 
1.9%
Other values (396) 22974
63.0%
Common
ValueCountFrequency (%)
7116
69.9%
0 799
 
7.9%
2 760
 
7.5%
1 473
 
4.6%
9 316
 
3.1%
3 127
 
1.2%
( 107
 
1.1%
) 107
 
1.1%
5 64
 
0.6%
6 63
 
0.6%
Other values (10) 243
 
2.4%
Latin
ValueCountFrequency (%)
O 16
25.8%
M 11
17.7%
U 11
17.7%
S 3
 
4.8%
T 3
 
4.8%
s 2
 
3.2%
o 2
 
3.2%
c 2
 
3.2%
Y 2
 
3.2%
A 2
 
3.2%
Other values (6) 8
12.9%
Han
ValueCountFrequency (%)
滿 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36475
78.1%
ASCII 10216
 
21.9%
None 21
 
< 0.1%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7116
69.7%
0 799
 
7.8%
2 760
 
7.4%
1 473
 
4.6%
9 316
 
3.1%
3 127
 
1.2%
( 107
 
1.0%
) 107
 
1.0%
5 64
 
0.6%
6 63
 
0.6%
Other values (23) 284
 
2.8%
Hangul
ValueCountFrequency (%)
조 1960
 
5.4%
안 1931
 
5.3%
례 1885
 
5.2%
영 1540
 
4.2%
정 1374
 
3.8%
군 1308
 
3.6%
덕 1233
 
3.4%
개 845
 
2.3%
관 716
 
2.0%
지 709
 
1.9%
Other values (396) 22974
63.0%
None
ValueCountFrequency (%)
· 17
81.0%
」 2
 
9.5%
「 2
 
9.5%
CJK
ValueCountFrequency (%)
滿 1
100.0%

발의자
Text

Distinct153
Distinct (%)7.3%
Missing2
Missing (%)0.1%
Memory size16.4 KiB
2023-12-12T09:24:55.985149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length4
Mean length4.8823247
Min length2

Characters and Unicode

Total characters10165
Distinct characters110
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)4.1%

Sample

1st row임성창외1
2nd row영덕군수
3rd row영덕군수
4th row영덕군수
5th row영덕군수
ValueCountFrequency (%)
영덕군수 1375
55.2%
특별위원회 223
 
9.0%
외 137
 
5.5%
6명 130
 
5.2%
전체의원 105
 
4.2%
의원 101
 
4.1%
김은희 22
 
0.9%
김일규 19
 
0.8%
손덕수 16
 
0.6%
부의장 14
 
0.6%
Other values (142) 348
 
14.0%
2023-12-12T09:24:56.281947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 1430
14.1%
수 1409
13.9%
덕 1399
13.8%
군 1375
13.5%
원 517
 
5.1%
411
 
4.0%
특 265
 
2.6%
위 262
 
2.6%
의 261
 
2.6%
외 261
 
2.6%
Other values (100) 2575
25.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9392
92.4%
Space Separator 411
 
4.0%
Decimal Number 263
 
2.6%
Other Punctuation 56
 
0.6%
Open Punctuation 21
 
0.2%
Close Punctuation 21
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 1430
15.2%
수 1409
15.0%
덕 1399
14.9%
군 1375
14.6%
원 517
 
5.5%
특 265
 
2.8%
위 262
 
2.8%
의 261
 
2.8%
외 261
 
2.8%
별 251
 
2.7%
Other values (88) 1962
20.9%
Decimal Number
ValueCountFrequency (%)
6 146
55.5%
1 32
 
12.2%
8 30
 
11.4%
5 29
 
11.0%
7 12
 
4.6%
2 10
 
3.8%
3 4
 
1.5%
Space Separator
ValueCountFrequency (%)
411
100.0%
Other Punctuation
ValueCountFrequency (%)
, 56
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9392
92.4%
Common 773
 
7.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 1430
15.2%
수 1409
15.0%
덕 1399
14.9%
군 1375
14.6%
원 517
 
5.5%
특 265
 
2.8%
위 262
 
2.8%
의 261
 
2.8%
외 261
 
2.8%
별 251
 
2.7%
Other values (88) 1962
20.9%
Common
ValueCountFrequency (%)
411
53.2%
6 146
 
18.9%
, 56
 
7.2%
1 32
 
4.1%
8 30
 
3.9%
5 29
 
3.8%
( 21
 
2.7%
) 21
 
2.7%
7 12
 
1.6%
2 10
 
1.3%
Other values (2) 5
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9392
92.4%
ASCII 773
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 1430
15.2%
수 1409
15.0%
덕 1399
14.9%
군 1375
14.6%
원 517
 
5.5%
특 265
 
2.8%
위 262
 
2.8%
의 261
 
2.8%
외 261
 
2.8%
별 251
 
2.7%
Other values (88) 1962
20.9%
ASCII
ValueCountFrequency (%)
411
53.2%
6 146
 
18.9%
, 56
 
7.2%
1 32
 
4.1%
8 30
 
3.9%
5 29
 
3.8%
( 21
 
2.7%
) 21
 
2.7%
7 12
 
1.6%
2 10
 
1.3%
Other values (2) 5
 
0.6%

제출자
Text

MISSING 

Distinct116
Distinct (%)6.0%
Missing165
Missing (%)7.9%
Memory size16.4 KiB
2023-12-12T09:24:56.517303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length5.7842626
Min length2

Characters and Unicode

Total characters11100
Distinct characters176
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)1.5%

Sample

1st row임성창
2nd row상하수도사업소장
3rd row지역경제과장
4th row재무과장
5th row건설재난방재과장
ValueCountFrequency (%)
재무과장 287
 
14.8%
기획감사실장 257
 
13.2%
총무과장 180
 
9.3%
예산결산특별위원회 100
 
5.2%
환경위생과장 54
 
2.8%
새마을경제과장 53
 
2.7%
건설재난방재과장 47
 
2.4%
주민생활지원과장 46
 
2.4%
정책기획담당관 44
 
2.3%
자치행정과장 42
 
2.2%
Other values (109) 830
42.8%
2023-12-12T09:24:56.888950image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1368
 
12.3%
과 961
 
8.7%
무 514
 
4.6%
사 450
 
4.1%
재 424
 
3.8%
기 338
 
3.0%
원 331
 
3.0%
획 315
 
2.8%
감 297
 
2.7%
실 272
 
2.5%
Other values (166) 5830
52.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11056
99.6%
Space Separator 22
 
0.2%
Decimal Number 17
 
0.2%
Other Punctuation 2
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1368
 
12.4%
과 961
 
8.7%
무 514
 
4.6%
사 450
 
4.1%
재 424
 
3.8%
기 338
 
3.1%
원 331
 
3.0%
획 315
 
2.8%
감 297
 
2.7%
실 272
 
2.5%
Other values (155) 5786
52.3%
Decimal Number
ValueCountFrequency (%)
6 6
35.3%
5 4
23.5%
4 3
17.6%
2 2
 
11.8%
7 1
 
5.9%
3 1
 
5.9%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11056
99.6%
Common 44
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1368
 
12.4%
과 961
 
8.7%
무 514
 
4.6%
사 450
 
4.1%
재 424
 
3.8%
기 338
 
3.1%
원 331
 
3.0%
획 315
 
2.8%
감 297
 
2.7%
실 272
 
2.5%
Other values (155) 5786
52.3%
Common
ValueCountFrequency (%)
22
50.0%
6 6
 
13.6%
5 4
 
9.1%
4 3
 
6.8%
, 2
 
4.5%
2 2
 
4.5%
) 1
 
2.3%
( 1
 
2.3%
7 1
 
2.3%
3 1
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11056
99.6%
ASCII 44
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1368
 
12.4%
과 961
 
8.7%
무 514
 
4.6%
사 450
 
4.1%
재 424
 
3.8%
기 338
 
3.1%
원 331
 
3.0%
획 315
 
2.8%
감 297
 
2.7%
실 272
 
2.5%
Other values (155) 5786
52.3%
ASCII
ValueCountFrequency (%)
22
50.0%
6 6
 
13.6%
5 4
 
9.1%
4 3
 
6.8%
, 2
 
4.5%
2 2
 
4.5%
) 1
 
2.3%
( 1
 
2.3%
7 1
 
2.3%
3 1
 
2.3%

발의일
Date

Distinct1012
Distinct (%)48.8%
Missing10
Missing (%)0.5%
Memory size16.4 KiB
Minimum1991-05-23 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T09:24:57.015959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:57.132449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

특별위원회명
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1774 
예산결산특별위원회
234 
행정사무감사특별위원회
 
34
지역개발사업장현장점검특별위원회
 
17
주요사업추진현장점검특별위원회
 
7
Other values (14)
 
18

Length

Max length43
Median length4
Mean length4.9673704
Min length4

Unique

Unique10 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1774
85.1%
예산결산특별위원회 234
 
11.2%
행정사무감사특별위원회 34
 
1.6%
지역개발사업장현장점검특별위원회 17
 
0.8%
주요사업추진현장점검특별위원회 7
 
0.3%
천지원전특별지원사업가산금회수대응특별위원회 2
 
0.1%
2015. 10. 22 영덕군수 철회요청 / 2015. 10. 22 철회허가 2
 
0.1%
지역개발사업장 현장점검 특별위원회 2
 
0.1%
영해레미콘호소문관련행정사무조사특별위원회 2
 
0.1%
사업장점검특별위원회 1
 
< 0.1%
Other values (9) 9
 
0.4%

Length

2023-12-12T09:24:57.249108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 1774
83.2%
예산결산특별위원회 234
 
11.0%
행정사무감사특별위원회 34
 
1.6%
지역개발사업장현장점검특별위원회 17
 
0.8%
주요사업추진현장점검특별위원회 7
 
0.3%
22 5
 
0.2%
8 4
 
0.2%
2015 4
 
0.2%
10 4
 
0.2%
영덕군수 4
 
0.2%
Other values (27) 46
 
2.2%

상정일(특위시작일)
Text

MISSING 

Distinct189
Distinct (%)74.1%
Missing1829
Missing (%)87.8%
Memory size16.4 KiB
2023-12-12T09:24:57.527257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length10
Mean length10.141176
Min length10

Characters and Unicode

Total characters2586
Distinct characters29
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)54.5%

Sample

1st row1991-06-28
2nd row1991-10-23
3rd row1991-12-16
4th row1991-12-16
5th row1991-12-09
ValueCountFrequency (%)
2016-06-13 4
 
1.6%
2020-06-22 4
 
1.6%
1993-11-29 4
 
1.6%
1995-12-27 3
 
1.2%
2005-07-21 3
 
1.2%
1994-12-12 3
 
1.2%
2001-07-06 3
 
1.2%
1996-12-21 3
 
1.2%
1998-12-19 3
 
1.2%
1997-12-20 3
 
1.2%
Other values (182) 225
87.2%
2023-12-12T09:24:57.921709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 521
20.1%
- 509
19.7%
2 489
18.9%
0 479
18.5%
9 210
8.1%
6 77
 
3.0%
7 71
 
2.7%
3 62
 
2.4%
5 52
 
2.0%
4 46
 
1.8%
Other values (19) 70
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2052
79.4%
Dash Punctuation 509
 
19.7%
Other Letter 16
 
0.6%
Other Punctuation 4
 
0.2%
Space Separator 3
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 2
12.5%
철 2
12.5%
로 1
 
6.2%
허 1
 
6.2%
일 1
 
6.2%
청 1
 
6.2%
요 1
 
6.2%
사 1
 
6.2%
호 1
 
6.2%
실 1
 
6.2%
Other values (4) 4
25.0%
Decimal Number
ValueCountFrequency (%)
1 521
25.4%
2 489
23.8%
0 479
23.3%
9 210
10.2%
6 77
 
3.8%
7 71
 
3.5%
3 62
 
3.0%
5 52
 
2.5%
4 46
 
2.2%
8 45
 
2.2%
Dash Punctuation
ValueCountFrequency (%)
- 509
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2570
99.4%
Hangul 16
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
1 521
20.3%
- 509
19.8%
2 489
19.0%
0 479
18.6%
9 210
8.2%
6 77
 
3.0%
7 71
 
2.8%
3 62
 
2.4%
5 52
 
2.0%
4 46
 
1.8%
Other values (5) 54
 
2.1%
Hangul
ValueCountFrequency (%)
회 2
12.5%
철 2
12.5%
로 1
 
6.2%
허 1
 
6.2%
일 1
 
6.2%
청 1
 
6.2%
요 1
 
6.2%
사 1
 
6.2%
호 1
 
6.2%
실 1
 
6.2%
Other values (4) 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2570
99.4%
Hangul 16
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 521
20.3%
- 509
19.8%
2 489
19.0%
0 479
18.6%
9 210
8.2%
6 77
 
3.0%
7 71
 
2.8%
3 62
 
2.4%
5 52
 
2.0%
4 46
 
1.8%
Other values (5) 54
 
2.1%
Hangul
ValueCountFrequency (%)
회 2
12.5%
철 2
12.5%
로 1
 
6.2%
허 1
 
6.2%
일 1
 
6.2%
청 1
 
6.2%
요 1
 
6.2%
사 1
 
6.2%
호 1
 
6.2%
실 1
 
6.2%
Other values (4) 4
25.0%

처리일(특위종료일)
Date

MISSING 

Distinct169
Distinct (%)69.0%
Missing1839
Missing (%)88.2%
Memory size16.4 KiB
Minimum1991-06-28 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T09:24:58.045208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:58.158589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결과
Categorical

IMBALANCE 

Distinct8
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
<NA>
1874 
원안가결
 
121
수정가결
 
74
본회의상정
 
11
2008-12-12
 
1
Other values (3)
 
3

Length

Max length10
Median length4
Mean length4.0076775
Min length2

Unique

Unique4 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 1874
89.9%
원안가결 121
 
5.8%
수정가결 74
 
3.6%
본회의상정 11
 
0.5%
2008-12-12 1
 
< 0.1%
수정안제출 1
 
< 0.1%
사무감사 1
 
< 0.1%
점검 1
 
< 0.1%

Length

2023-12-12T09:24:58.273507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:24:58.384464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 1874
89.9%
원안가결 121
 
5.8%
수정가결 74
 
3.6%
본회의상정 11
 
0.5%
2008-12-12 1
 
< 0.1%
수정안제출 1
 
< 0.1%
사무감사 1
 
< 0.1%
점검 1
 
< 0.1%

심사보고서 접수일
Text

MISSING 

Distinct197
Distinct (%)47.2%
Missing1667
Missing (%)80.0%
Memory size16.4 KiB
2023-12-12T09:24:58.675359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length10
Mean length10.081535
Min length4

Characters and Unicode

Total characters4204
Distinct characters29
Distinct categories5 ?
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 (%)22.3%

Sample

1st row1991-10-28
2nd row1991-12-26
3rd row1991-12-26
4th row1991-12-20
5th row1991-12-26
ValueCountFrequency (%)
2013-12-13 8
 
1.8%
2015-12-10 8
 
1.8%
2009-06-12 7
 
1.6%
2016-12-13 7
 
1.6%
2014-09-22 6
 
1.4%
2010-04-13 6
 
1.4%
2012-03-15 6
 
1.4%
2018-09-14 6
 
1.4%
1993-12-21 6
 
1.4%
2016-11-17 6
 
1.4%
Other values (193) 369
84.8%
2023-12-12T09:24:59.120055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 865
20.6%
- 821
19.5%
1 801
19.1%
2 780
18.6%
9 219
 
5.2%
6 139
 
3.3%
3 132
 
3.1%
4 122
 
2.9%
7 117
 
2.8%
8 75
 
1.8%
Other values (19) 133
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3319
78.9%
Dash Punctuation 821
 
19.5%
Other Letter 35
 
0.8%
Space Separator 18
 
0.4%
Other Punctuation 11
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 8
22.9%
임 4
11.4%
만 4
11.4%
료 4
11.4%
폐 4
11.4%
가 2
 
5.7%
일 1
 
2.9%
철 1
 
2.9%
회 1
 
2.9%
허 1
 
2.9%
Other values (5) 5
14.3%
Decimal Number
ValueCountFrequency (%)
0 865
26.1%
1 801
24.1%
2 780
23.5%
9 219
 
6.6%
6 139
 
4.2%
3 132
 
4.0%
4 122
 
3.7%
7 117
 
3.5%
8 75
 
2.3%
5 69
 
2.1%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
/ 3
 
27.3%
Dash Punctuation
ValueCountFrequency (%)
- 821
100.0%
Space Separator
ValueCountFrequency (%)
18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4169
99.2%
Hangul 35
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 8
22.9%
임 4
11.4%
만 4
11.4%
료 4
11.4%
폐 4
11.4%
가 2
 
5.7%
일 1
 
2.9%
철 1
 
2.9%
회 1
 
2.9%
허 1
 
2.9%
Other values (5) 5
14.3%
Common
ValueCountFrequency (%)
0 865
20.7%
- 821
19.7%
1 801
19.2%
2 780
18.7%
9 219
 
5.3%
6 139
 
3.3%
3 132
 
3.2%
4 122
 
2.9%
7 117
 
2.8%
8 75
 
1.8%
Other values (4) 98
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4169
99.2%
Hangul 35
 
0.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 865
20.7%
- 821
19.7%
1 801
19.2%
2 780
18.7%
9 219
 
5.3%
6 139
 
3.3%
3 132
 
3.2%
4 122
 
2.9%
7 117
 
2.8%
8 75
 
1.8%
Other values (4) 98
 
2.4%
Hangul
ValueCountFrequency (%)
기 8
22.9%
임 4
11.4%
만 4
11.4%
료 4
11.4%
폐 4
11.4%
가 2
 
5.7%
일 1
 
2.9%
철 1
 
2.9%
회 1
 
2.9%
허 1
 
2.9%
Other values (5) 5
14.3%

본회의 보고일
Date

MISSING 

Distinct489
Distinct (%)24.4%
Missing77
Missing (%)3.7%
Memory size16.4 KiB
Minimum1988-09-09 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T09:24:59.288830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:59.422075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 상정일
Date

MISSING 

Distinct487
Distinct (%)24.3%
Missing78
Missing (%)3.7%
Memory size16.4 KiB
Minimum1988-09-09 00:00:00
Maximum2023-06-22 00:00:00
2023-12-12T09:24:59.562317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:24:59.715412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리일
Text

MISSING 

Distinct492
Distinct (%)24.5%
Missing78
Missing (%)3.7%
Memory size16.4 KiB
2023-12-12T09:25:00.010729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters20060
Distinct characters13
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

Unique130 ?
Unique (%)6.5%

Sample

1st row1991-05-29
2nd row1991-05-30
3rd row1991-07-08
4th row1991-07-09
5th row1991-07-09
ValueCountFrequency (%)
2021-12-17 31
 
1.5%
2020-12-17 24
 
1.2%
2021-06-10 23
 
1.1%
2015-10-02 21
 
1.0%
1991-12-26 20
 
1.0%
2021-12-15 19
 
0.9%
2022-12-19 18
 
0.9%
2020-12-15 18
 
0.9%
2008-02-26 18
 
0.9%
2017-05-17 17
 
0.8%
Other values (482) 1797
89.6%
2023-12-12T09:25:00.628525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4196
20.9%
- 4010
20.0%
2 3725
18.6%
1 3518
17.5%
9 1536
 
7.7%
7 616
 
3.1%
3 576
 
2.9%
5 574
 
2.9%
6 548
 
2.7%
8 433
 
2.2%
Other values (3) 328
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 16048
80.0%
Dash Punctuation 4010
 
20.0%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4196
26.1%
2 3725
23.2%
1 3518
21.9%
9 1536
 
9.6%
7 616
 
3.8%
3 576
 
3.6%
5 574
 
3.6%
6 548
 
3.4%
8 433
 
2.7%
4 326
 
2.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
50.0%
. 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4010
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 20060
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4196
20.9%
- 4010
20.0%
2 3725
18.6%
1 3518
17.5%
9 1536
 
7.7%
7 616
 
3.1%
3 576
 
2.9%
5 574
 
2.9%
6 548
 
2.7%
8 433
 
2.2%
Other values (3) 328
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 20060
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4196
20.9%
- 4010
20.0%
2 3725
18.6%
1 3518
17.5%
9 1536
 
7.7%
7 616
 
3.1%
3 576
 
2.9%
5 574
 
2.9%
6 548
 
2.7%
8 433
 
2.2%
Other values (3) 328
 
1.6%

본회의 결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct27
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
원안가결
1723 
제안설명
 
108
수정가결
 
77
<NA>
 
74
의견제시
 
20
Other values (22)
 
82

Length

Max length9
Median length4
Mean length3.9587332
Min length2

Unique

Unique10 ?
Unique (%)0.5%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 1723
82.7%
제안설명 108
 
5.2%
수정가결 77
 
3.7%
<NA> 74
 
3.6%
의견제시 20
 
1.0%
채택 14
 
0.7%
부결 13
 
0.6%
보류 8
 
0.4%
임기만료폐기 8
 
0.4%
보고 6
 
0.3%
Other values (17) 33
 
1.6%

Length

2023-12-12T09:25:00.812678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 1723
82.7%
제안설명 108
 
5.2%
수정가결 77
 
3.7%
na 74
 
3.6%
의견제시 20
 
1.0%
채택 14
 
0.7%
부결 13
 
0.6%
보류 8
 
0.4%
임기만료폐기 8
 
0.4%
보고 6
 
0.3%
Other values (17) 33
 
1.6%

집행부 이송일
Text

MISSING 

Distinct463
Distinct (%)26.9%
Missing360
Missing (%)17.3%
Memory size16.4 KiB
2023-12-12T09:25:01.087842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9924594
Min length4

Characters and Unicode

Total characters17227
Distinct characters18
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

Unique144 ?
Unique (%)8.4%

Sample

1st row1991-06-10
2nd row1991-07-12
3rd row1991-07-12
4th row1991-07-12
5th row1991-07-12
ValueCountFrequency (%)
2021-12-21 29
 
1.7%
2015-10-02 21
 
1.2%
2021-06-11 21
 
1.2%
1991-12-28 20
 
1.2%
2021-12-16 18
 
1.0%
2017-05-17 17
 
1.0%
1993-11-02 17
 
1.0%
2020-12-16 16
 
0.9%
2022-12-19 15
 
0.9%
2008-02-27 15
 
0.9%
Other values (453) 1535
89.0%
2023-12-12T09:25:01.636189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 3532
20.5%
- 3442
20.0%
2 3357
19.5%
1 3007
17.5%
9 1356
 
7.9%
3 495
 
2.9%
6 492
 
2.9%
7 444
 
2.6%
5 409
 
2.4%
8 359
 
2.1%
Other values (8) 334
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 13774
80.0%
Dash Punctuation 3442
 
20.0%
Other Letter 8
 
< 0.1%
Other Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 3532
25.6%
2 3357
24.4%
1 3007
21.8%
9 1356
 
9.8%
3 495
 
3.6%
6 492
 
3.6%
7 444
 
3.2%
5 409
 
3.0%
8 359
 
2.6%
4 323
 
2.3%
Other Letter
ValueCountFrequency (%)
가 2
25.0%
결 2
25.0%
수 1
12.5%
정 1
12.5%
원 1
12.5%
안 1
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 3442
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 17219
> 99.9%
Hangul 8
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 3532
20.5%
- 3442
20.0%
2 3357
19.5%
1 3007
17.5%
9 1356
 
7.9%
3 495
 
2.9%
6 492
 
2.9%
7 444
 
2.6%
5 409
 
2.4%
8 359
 
2.1%
Other values (2) 326
 
1.9%
Hangul
ValueCountFrequency (%)
가 2
25.0%
결 2
25.0%
수 1
12.5%
정 1
12.5%
원 1
12.5%
안 1
12.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 17219
> 99.9%
Hangul 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 3532
20.5%
- 3442
20.0%
2 3357
19.5%
1 3007
17.5%
9 1356
 
7.9%
3 495
 
2.9%
6 492
 
2.9%
7 444
 
2.6%
5 409
 
2.4%
8 359
 
2.1%
Other values (2) 326
 
1.9%
Hangul
ValueCountFrequency (%)
가 2
25.0%
결 2
25.0%
수 1
12.5%
정 1
12.5%
원 1
12.5%
안 1
12.5%

공포일
Text

MISSING 

Distinct278
Distinct (%)30.7%
Missing1177
Missing (%)56.5%
Memory size16.4 KiB
2023-12-12T09:25:01.975930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9735391
Min length1

Characters and Unicode

Total characters9046
Distinct characters26
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

Unique93 ?
Unique (%)10.3%

Sample

1st row1991-07-15
2nd row1991-07-15
3rd row1991-07-15
4th row1991-12-31
5th row1991-12-31
ValueCountFrequency (%)
2015-10-22 20
 
2.2%
1993-11-10 16
 
1.8%
1991-12-31 16
 
1.8%
2008-03-01 14
 
1.5%
2015-10-21 13
 
1.4%
2018-12-03 12
 
1.3%
2017-05-30 10
 
1.1%
2014-01-01 10
 
1.1%
2014-10-27 9
 
1.0%
2000-12-22 9
 
1.0%
Other values (267) 777
85.8%
2023-12-12T09:25:02.434022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 1982
21.9%
- 1806
20.0%
1 1678
18.5%
2 1299
14.4%
9 771
 
8.5%
3 339
 
3.7%
5 264
 
2.9%
6 250
 
2.8%
7 238
 
2.6%
4 207
 
2.3%
Other values (16) 212
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7224
79.9%
Dash Punctuation 1806
 
20.0%
Other Letter 15
 
0.2%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 2
13.3%
임 1
 
6.7%
통 1
 
6.7%
회 1
 
6.7%
앙 1
 
6.7%
중 1
 
6.7%
협 1
 
6.7%
부 1
 
6.7%
형 1
 
6.7%
발 1
 
6.7%
Other values (4) 4
26.7%
Decimal Number
ValueCountFrequency (%)
0 1982
27.4%
1 1678
23.2%
2 1299
18.0%
9 771
 
10.7%
3 339
 
4.7%
5 264
 
3.7%
6 250
 
3.5%
7 238
 
3.3%
4 207
 
2.9%
8 196
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 1806
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9031
99.8%
Hangul 15
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 2
13.3%
임 1
 
6.7%
통 1
 
6.7%
회 1
 
6.7%
앙 1
 
6.7%
중 1
 
6.7%
협 1
 
6.7%
부 1
 
6.7%
형 1
 
6.7%
발 1
 
6.7%
Other values (4) 4
26.7%
Common
ValueCountFrequency (%)
0 1982
21.9%
- 1806
20.0%
1 1678
18.6%
2 1299
14.4%
9 771
 
8.5%
3 339
 
3.8%
5 264
 
2.9%
6 250
 
2.8%
7 238
 
2.6%
4 207
 
2.3%
Other values (2) 197
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9031
99.8%
Hangul 15
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1982
21.9%
- 1806
20.0%
1 1678
18.6%
2 1299
14.4%
9 771
 
8.5%
3 339
 
3.8%
5 264
 
2.9%
6 250
 
2.8%
7 238
 
2.6%
4 207
 
2.3%
Other values (2) 197
 
2.2%
Hangul
ValueCountFrequency (%)
이 2
13.3%
임 1
 
6.7%
통 1
 
6.7%
회 1
 
6.7%
앙 1
 
6.7%
중 1
 
6.7%
협 1
 
6.7%
부 1
 
6.7%
형 1
 
6.7%
발 1
 
6.7%
Other values (4) 4
26.7%

공포번호
Text

MISSING 

Distinct908
Distinct (%)98.8%
Missing1165
Missing (%)55.9%
Memory size16.4 KiB
2023-12-12T09:25:02.930052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length4
Mean length4.0816104
Min length1

Characters and Unicode

Total characters3751
Distinct characters69
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

Unique899 ?
Unique (%)97.8%

Sample

1st row1243
2nd row1244
3rd row1245
4th row1246
5th row1260
ValueCountFrequency (%)
관련부처송부 4
 
0.4%
고시236 2
 
0.2%
1792 2
 
0.2%
공고 2
 
0.2%
대통령외4 2
 
0.2%
1855 2
 
0.2%
1823 2
 
0.2%
농림수산부통보 2
 
0.2%
재의요구 2
 
0.2%
1833 1
 
0.1%
Other values (900) 900
97.7%
2023-12-12T09:25:03.465454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 965
25.7%
2 368
 
9.8%
8 286
 
7.6%
9 281
 
7.5%
3 279
 
7.4%
5 279
 
7.4%
4 278
 
7.4%
7 275
 
7.3%
0 273
 
7.3%
6 272
 
7.3%
Other values (59) 195
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3556
94.8%
Other Letter 182
 
4.9%
Lowercase Letter 4
 
0.1%
Dash Punctuation 3
 
0.1%
Space Separator 2
 
0.1%
Other Punctuation 2
 
0.1%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 19
 
10.4%
고 14
 
7.7%
시 8
 
4.4%
회 8
 
4.4%
제 8
 
4.4%
송 8
 
4.4%
호 8
 
4.4%
의 7
 
3.8%
산 7
 
3.8%
관 6
 
3.3%
Other values (41) 89
48.9%
Decimal Number
ValueCountFrequency (%)
1 965
27.1%
2 368
 
10.3%
8 286
 
8.0%
9 281
 
7.9%
3 279
 
7.8%
5 279
 
7.8%
4 278
 
7.8%
7 275
 
7.7%
0 273
 
7.7%
6 272
 
7.6%
Lowercase Letter
ValueCountFrequency (%)
r 2
50.0%
p 1
25.0%
a 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
A 1
50.0%
M 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3563
95.0%
Hangul 182
 
4.9%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 19
 
10.4%
고 14
 
7.7%
시 8
 
4.4%
회 8
 
4.4%
제 8
 
4.4%
송 8
 
4.4%
호 8
 
4.4%
의 7
 
3.8%
산 7
 
3.8%
관 6
 
3.3%
Other values (41) 89
48.9%
Common
ValueCountFrequency (%)
1 965
27.1%
2 368
 
10.3%
8 286
 
8.0%
9 281
 
7.9%
3 279
 
7.8%
5 279
 
7.8%
4 278
 
7.8%
7 275
 
7.7%
0 273
 
7.7%
6 272
 
7.6%
Other values (3) 7
 
0.2%
Latin
ValueCountFrequency (%)
r 2
33.3%
A 1
16.7%
p 1
16.7%
a 1
16.7%
M 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3569
95.1%
Hangul 182
 
4.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 965
27.0%
2 368
 
10.3%
8 286
 
8.0%
9 281
 
7.9%
3 279
 
7.8%
5 279
 
7.8%
4 278
 
7.8%
7 275
 
7.7%
0 273
 
7.6%
6 272
 
7.6%
Other values (8) 13
 
0.4%
Hangul
ValueCountFrequency (%)
부 19
 
10.4%
고 14
 
7.7%
시 8
 
4.4%
회 8
 
4.4%
제 8
 
4.4%
송 8
 
4.4%
호 8
 
4.4%
의 7
 
3.8%
산 7
 
3.8%
관 6
 
3.3%
Other values (41) 89
48.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.4 KiB
2023-08-25
2084 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 2084
100.0%

Length

2023-12-12T09:25:03.593533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:25:03.687428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 2084
100.0%

Correlations

2023-12-12T09:25:03.744766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특별위원회명결과본회의 결과
특별위원회명1.0000.2310.836
결과0.2311.0000.384
본회의 결과0.8360.3841.000
2023-12-12T09:25:03.837086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
결과본회의 결과특별위원회명
결과1.0000.2390.111
본회의 결과0.2391.0000.575
특별위원회명0.1110.5751.000
2023-12-12T09:25:03.917786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
특별위원회명결과본회의 결과
특별위원회명1.0000.1110.575
결과0.1111.0000.239
본회의 결과0.5750.2391.000

Missing values

2023-12-12T09:24:54.013520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:24:54.212296image/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.
2023-12-12T09:24:54.386226image/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

연번건명발의자제출자발의일특별위원회명상정일(특위시작일)처리일(특위종료일)결과심사보고서 접수일본회의 보고일본회의 상정일본회의 처리일본회의 결과집행부 이송일공포일공포번호데이터기준일자
01991-1영덕군의회 의원 세미나 참석임성창외1임성창1991-05-23<NA><NA><NA><NA><NA>1991-05-291991-05-291991-05-29가결<NA><NA><NA>2023-08-25
11991-2지품 상수도 사업비 기채신청영덕군수상하수도사업소장1991-05-28<NA><NA><NA><NA><NA>1991-05-301991-05-301991-05-30가결1991-06-10<NA><NA>2023-08-25
21991-3농공단지 추진의 건영덕군수지역경제과장1991-05-28농공단지추진특별위원회1991-06-281991-06-28본회의상정<NA><NA><NA><NA><NA><NA><NA><NA>2023-08-25
31991-41990년도 결산검사위원 선임의 건영덕군수재무과장1991-06-24<NA><NA><NA><NA><NA>1991-07-081991-07-081991-07-08의결1991-07-12<NA><NA>2023-08-25
41991-5영덕군 도시공원의 점용허가 및 녹지의 관리에 대한 조례안영덕군수건설재난방재과장1991-07-05<NA><NA><NA><NA><NA>1991-07-081991-07-091991-07-09의결1991-07-121991-07-1512432023-08-25
51991-6영덕군 공공용지에 편입된 사권제한 토지에 대한 종토세 불균일 과세에 관한 조례중 개정조례안영덕군수재무과장1991-07-05<NA><NA><NA><NA><NA>1991-07-081991-07-091991-07-09의결1991-07-121991-07-1512442023-08-25
61991-7영덕군 리장자녀 장학금 지급조례중 개정 조례영덕군수총무과장1991-07-05<NA><NA><NA><NA><NA>1991-07-081991-07-091991-07-09의결1991-07-121991-07-1512452023-08-25
71991-8농공단지 예정지 심사의 건특별위원회농공단지추진특별위원회1991-07-06<NA><NA><NA><NA><NA>1991-07-081991-07-091991-07-09부결<NA><NA><NA>2023-08-25
81991-9경상북도 교육위원 후보자 추천의장의장1991-07-23<NA><NA><NA><NA><NA>1991-07-231991-07-231991-07-23가결1991-07-24<NA><NA>2023-08-25
91991-10농공단지 예정지 심사의 건의원이상열1991-07-23<NA><NA><NA><NA><NA>1991-07-231991-07-231991-07-23부결<NA><NA><NA>2023-08-25
연번건명발의자제출자발의일특별위원회명상정일(특위시작일)처리일(특위종료일)결과심사보고서 접수일본회의 보고일본회의 상정일본회의 처리일본회의 결과집행부 이송일공포일공포번호데이터기준일자
20742023-36영덕군의회 의원 윤리강령 및 윤리실천규범 등에 관한 조례 일부개정조례안배재현 의원 외 6명<NA>2023-05-30<NA><NA><NA><NA><NA>2023-06-122023-06-122023-06-12원안가결2023-06-122023-06-16<NA>2023-08-25
20752023-37영덕군의회의원공무국외여행규칙 일부개정규칙안신정희 의원 외 6명<NA>2023-05-30<NA><NA><NA><NA><NA>2023-06-122023-06-122023-06-12원안가결2023-06-122023-06-12<NA>2023-08-25
20762023-382023년도 제1회 추가경정예산안 및 기금운용계획 변경안 심사보고서예산결산특별위원회신정희 의원 외 5명2023-06-14<NA><NA><NA><NA><NA>2023-06-152023-06-152023-06-15원안가결2023-06-15<NA><NA>2023-08-25
20772023-392022년도 예비비 지출 승인안영덕군수기회예산실장2023-05-31예산결산특별위원회2023-06-162023-06-22원안가결2023-06-222023-06-152023-06-152023-06-15제안설명2023-06-23<NA><NA>2023-08-25
20782023-402022년도 세입세출결산 승인안영덕군수재무과장2023-05-30예산결산특별위원회2023-06-162023-06-22원안가결2023-06-222023-06-152023-06-152023-06-15제안설명2023-06-23<NA><NA>2023-08-25
20792023-412022년도 예비비 지출 승인안 심사보고서예산결산특별위원회<NA>2023-06-22<NA><NA><NA><NA><NA>2023-06-222023-06-222023-06-22원안가결2023-06-23<NA><NA>2023-08-25
20802023-422022년도 세입세출결산 승인안 심사보고서예산결산특별위원회<NA>2023-06-22<NA><NA><NA><NA><NA>2023-06-222023-06-222023-06-22원안가결2023-06-23<NA><NA>2023-08-25
20812023-43영덕군 에코힐링센터 관리 및 운영 조례안영덕군수기획예산실장2023-06-15<NA><NA><NA><NA><NA>2023-06-222023-06-222023-06-22원안가결2023-06-23<NA><NA>2023-08-25
20822023-44영덕군 사회복지기금 설치 및 운용 조례 일부개정조례안영덕군수주민복지과장2023-06-15<NA><NA><NA><NA><NA>2023-06-222023-06-222023-06-22원안가결2023-06-23<NA><NA>2023-08-25
20832023-45영덕군 지방세입 징수포상금 지급조례 일부개정조례안영덕군수재무과장2023-06-15<NA><NA><NA><NA><NA>2023-06-222023-06-222023-06-22원안가결2023-06-23<NA><NA>2023-08-25