Overview

Dataset statistics

Number of variables11
Number of observations2368
Missing cells3655
Missing cells (%)14.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory205.9 KiB
Average record size in memory89.1 B

Variable types

Text5
DateTime4
Numeric1
Categorical1

Dataset

Description장흥군 의회에서 발의된 군의회 의안 정보 데이터로 의안의 제목, 발의일자, 소관 위원회 및 본의회에서의 상정일, 의결일 처리결과 등의 정보의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15038294/fileData.do

Alerts

본회의 처리결과 is highly imbalanced (68.9%)Imbalance
제안회기 has 422 (17.8%) missing valuesMissing
본회의 상정일 has 93 (3.9%) missing valuesMissing
본회의 의결일 has 97 (4.1%) missing valuesMissing
집행부 이송일 has 158 (6.7%) missing valuesMissing
공포번호 has 1429 (60.3%) missing valuesMissing
공포일자 has 1427 (60.3%) missing valuesMissing

Reproduction

Analysis started2023-12-12 16:37:42.143108
Analysis finished2023-12-12 16:37:43.447890
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Text

Distinct2367
Distinct (%)100.0%
Missing1
Missing (%)< 0.1%
Memory size18.6 KiB
2023-12-13T01:37:43.842021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length5
Mean length4.217575
Min length1

Characters and Unicode

Total characters9983
Distinct characters18
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

Unique2367 ?
Unique (%)100.0%

Sample

1st row1
2nd row2
3rd row3
4th row4
5th row5
ValueCountFrequency (%)
09월 30
 
1.2%
204 2
 
0.1%
369 2
 
0.1%
534 2
 
0.1%
536 2
 
0.1%
7-161 1
 
< 0.1%
7-162 1
 
< 0.1%
7-163 1
 
< 0.1%
7-164 1
 
< 0.1%
7-166 1
 
< 0.1%
Other values (2359) 2359
98.2%
2023-12-13T01:37:44.440781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1449
14.5%
1 1032
10.3%
8 973
9.7%
7 960
9.6%
2 917
9.2%
0 908
9.1%
5 856
8.6%
6 805
8.1%
3 782
7.8%
9 596
6.0%
Other values (8) 705
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8416
84.3%
Dash Punctuation 1449
 
14.5%
Other Letter 61
 
0.6%
Space Separator 39
 
0.4%
Other Punctuation 10
 
0.1%
Open Punctuation 4
 
< 0.1%
Close Punctuation 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 1032
12.3%
8 973
11.6%
7 960
11.4%
2 917
10.9%
0 908
10.8%
5 856
10.2%
6 805
9.6%
3 782
9.3%
9 596
7.1%
4 587
7.0%
Other Letter
ValueCountFrequency (%)
월 30
49.2%
일 30
49.2%
대 1
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 1449
100.0%
Space Separator
ValueCountFrequency (%)
39
100.0%
Other Punctuation
ValueCountFrequency (%)
. 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9922
99.4%
Hangul 61
 
0.6%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1449
14.6%
1 1032
10.4%
8 973
9.8%
7 960
9.7%
2 917
9.2%
0 908
9.2%
5 856
8.6%
6 805
8.1%
3 782
7.9%
9 596
6.0%
Other values (5) 644
6.5%
Hangul
ValueCountFrequency (%)
월 30
49.2%
일 30
49.2%
대 1
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9922
99.4%
Hangul 61
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1449
14.6%
1 1032
10.4%
8 973
9.8%
7 960
9.7%
2 917
9.2%
0 908
9.2%
5 856
8.6%
6 805
8.1%
3 782
7.9%
9 596
6.0%
Other values (5) 644
6.5%
Hangul
ValueCountFrequency (%)
월 30
49.2%
일 30
49.2%
대 1
 
1.6%

의안명
Text

Distinct2142
Distinct (%)90.5%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
2023-12-13T01:37:44.784225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length116
Median length52
Mean length26.305743
Min length1

Characters and Unicode

Total characters62292
Distinct characters462
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

Unique2011 ?
Unique (%)84.9%

Sample

1st row1990년도 세입 세출결산검사위원 추천에 관한 건
2nd row군수 및 관계공무원 출석요구의 건
3rd row농업용수 개발 실태조사에 관한 계획(안)
4th row환경오염 실태조사계획(안)
5th row장흥군민의 상 조례중 개정조례안
ValueCountFrequency (%)
장흥군 1548
 
10.7%
조례안 688
 
4.8%
조례 609
 
4.2%
및 591
 
4.1%
관한 424
 
2.9%
개정조례안 300
 
2.1%
일부개정조례안 300
 
2.1%
건 298
 
2.1%
설치 207
 
1.4%
· 176
 
1.2%
Other values (2529) 9285
64.4%
2023-12-13T01:37:45.320633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
13564
21.8%
조 2633
 
4.2%
례 2475
 
4.0%
장 2097
 
3.4%
안 2076
 
3.3%
군 1958
 
3.1%
흥 1918
 
3.1%
정 1698
 
2.7%
관 1100
 
1.8%
의 1068
 
1.7%
Other values (452) 31705
50.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 46094
74.0%
Space Separator 13565
 
21.8%
Decimal Number 2067
 
3.3%
Other Punctuation 231
 
0.4%
Open Punctuation 133
 
0.2%
Close Punctuation 133
 
0.2%
Uppercase Letter 39
 
0.1%
Math Symbol 18
 
< 0.1%
Dash Punctuation 11
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2633
 
5.7%
례 2475
 
5.4%
장 2097
 
4.5%
안 2076
 
4.5%
군 1958
 
4.2%
흥 1918
 
4.2%
정 1698
 
3.7%
관 1100
 
2.4%
의 1068
 
2.3%
개 1058
 
2.3%
Other values (405) 28013
60.8%
Uppercase Letter
ValueCountFrequency (%)
T 11
28.2%
F 4
 
10.3%
A 4
 
10.3%
M 3
 
7.7%
O 3
 
7.7%
C 2
 
5.1%
G 2
 
5.1%
L 2
 
5.1%
B 2
 
5.1%
I 2
 
5.1%
Other values (4) 4
 
10.3%
Decimal Number
ValueCountFrequency (%)
2 530
25.6%
0 518
25.1%
1 389
18.8%
9 291
14.1%
3 89
 
4.3%
4 67
 
3.2%
5 49
 
2.4%
7 47
 
2.3%
8 45
 
2.2%
6 42
 
2.0%
Other Punctuation
ValueCountFrequency (%)
· 199
86.1%
, 14
 
6.1%
. 9
 
3.9%
: 5
 
2.2%
' 2
 
0.9%
※ 1
 
0.4%
/ 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
~ 6
33.3%
> 4
22.2%
< 4
22.2%
→ 2
 
11.1%
+ 1
 
5.6%
↔ 1
 
5.6%
Open Punctuation
ValueCountFrequency (%)
( 117
88.0%
「 15
 
11.3%
『 1
 
0.8%
Close Punctuation
ValueCountFrequency (%)
) 117
88.0%
」 15
 
11.3%
』 1
 
0.8%
Space Separator
ValueCountFrequency (%)
13564
> 99.9%
　 1
 
< 0.1%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Lowercase Letter
ValueCountFrequency (%)
x 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 46094
74.0%
Common 16158
 
25.9%
Latin 40
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2633
 
5.7%
례 2475
 
5.4%
장 2097
 
4.5%
안 2076
 
4.5%
군 1958
 
4.2%
흥 1918
 
4.2%
정 1698
 
3.7%
관 1100
 
2.4%
의 1068
 
2.3%
개 1058
 
2.3%
Other values (405) 28013
60.8%
Common
ValueCountFrequency (%)
13564
83.9%
2 530
 
3.3%
0 518
 
3.2%
1 389
 
2.4%
9 291
 
1.8%
· 199
 
1.2%
( 117
 
0.7%
) 117
 
0.7%
3 89
 
0.6%
4 67
 
0.4%
Other values (22) 277
 
1.7%
Latin
ValueCountFrequency (%)
T 11
27.5%
F 4
 
10.0%
A 4
 
10.0%
M 3
 
7.5%
O 3
 
7.5%
C 2
 
5.0%
G 2
 
5.0%
L 2
 
5.0%
B 2
 
5.0%
I 2
 
5.0%
Other values (5) 5
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 46093
74.0%
ASCII 15962
 
25.6%
None 232
 
0.4%
Arrows 3
 
< 0.1%
Punctuation 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
13564
85.0%
2 530
 
3.3%
0 518
 
3.2%
1 389
 
2.4%
9 291
 
1.8%
( 117
 
0.7%
) 117
 
0.7%
3 89
 
0.6%
4 67
 
0.4%
5 49
 
0.3%
Other values (28) 231
 
1.4%
Hangul
ValueCountFrequency (%)
조 2633
 
5.7%
례 2475
 
5.4%
장 2097
 
4.5%
안 2076
 
4.5%
군 1958
 
4.2%
흥 1918
 
4.2%
정 1698
 
3.7%
관 1100
 
2.4%
의 1068
 
2.3%
개 1058
 
2.3%
Other values (404) 28012
60.8%
None
ValueCountFrequency (%)
· 199
85.8%
「 15
 
6.5%
」 15
 
6.5%
　 1
 
0.4%
』 1
 
0.4%
『 1
 
0.4%
Arrows
ValueCountFrequency (%)
→ 2
66.7%
↔ 1
33.3%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㄹ 1
100.0%

제안일자
Date

Distinct1016
Distinct (%)43.0%
Missing6
Missing (%)0.3%
Memory size18.6 KiB
Minimum1991-04-01 00:00:00
Maximum2023-07-05 00:00:00
2023-12-13T01:37:45.468297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:37:45.619796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제안회기
Real number (ℝ)

MISSING 

Distinct207
Distinct (%)10.6%
Missing422
Missing (%)17.8%
Infinite0
Infinite (%)0.0%
Mean168.51028
Minimum2
Maximum283
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size20.9 KiB
2023-12-13T01:37:46.096551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile15
Q164.25
median195
Q3245
95-th percentile277
Maximum283
Range281
Interquartile range (IQR)180.75

Descriptive statistics

Standard deviation89.723329
Coefficient of variation (CV)0.53245019
Kurtosis-1.1187013
Mean168.51028
Median Absolute Deviation (MAD)58
Skewness-0.54069162
Sum327921
Variance8050.2757
MonotonicityNot monotonic
2023-12-13T01:37:46.247393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54 86
 
3.6%
270 37
 
1.6%
7 31
 
1.3%
225 31
 
1.3%
234 29
 
1.2%
135 29
 
1.2%
277 28
 
1.2%
206 27
 
1.1%
278 26
 
1.1%
214 23
 
1.0%
Other values (197) 1599
67.5%
(Missing) 422
 
17.8%
ValueCountFrequency (%)
2 5
 
0.2%
3 3
 
0.1%
5 9
 
0.4%
7 31
1.3%
8 2
 
0.1%
9 16
0.7%
11 7
 
0.3%
12 7
 
0.3%
13 4
 
0.2%
14 10
 
0.4%
ValueCountFrequency (%)
283 5
 
0.2%
282 17
0.7%
281 13
0.5%
280 16
0.7%
279 15
0.6%
278 26
1.1%
277 28
1.2%
276 21
0.9%
275 9
 
0.4%
273 6
 
0.3%

제안자
Text

Distinct214
Distinct (%)9.1%
Missing22
Missing (%)0.9%
Memory size18.6 KiB
2023-12-13T01:37:46.470646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length4
Mean length5.5848252
Min length2

Characters and Unicode

Total characters13102
Distinct characters131
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

Unique109 ?
Unique (%)4.6%

Sample

1st row장흥군수
2nd row곽종민 의원 외 10인
3rd row이제석 의원 외 5인
4th row강성식 의원 외 5인
5th row장흥군수
ValueCountFrequency (%)
장흥군수 1777
46.9%
외 460
 
12.1%
의원 444
 
11.7%
2인 154
 
4.1%
6인 126
 
3.3%
5인 93
 
2.5%
4인 54
 
1.4%
김재승 45
 
1.2%
3인 45
 
1.2%
왕윤채 41
 
1.1%
Other values (93) 549
 
14.5%
2023-12-13T01:37:46.847329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 1812
13.8%
수 1809
13.8%
흥 1780
13.6%
군 1779
13.6%
1448
11.1%
원 567
 
4.3%
의 545
 
4.2%
외 531
 
4.1%
인 526
 
4.0%
김 176
 
1.3%
Other values (121) 2129
16.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 11114
84.8%
Space Separator 1448
 
11.1%
Decimal Number 538
 
4.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 1812
16.3%
수 1809
16.3%
흥 1780
16.0%
군 1779
16.0%
원 567
 
5.1%
의 545
 
4.9%
외 531
 
4.8%
인 526
 
4.7%
김 176
 
1.6%
재 99
 
0.9%
Other values (108) 1490
13.4%
Decimal Number
ValueCountFrequency (%)
2 158
29.4%
6 127
23.6%
5 94
17.5%
4 58
 
10.8%
3 46
 
8.6%
7 16
 
3.0%
8 13
 
2.4%
9 11
 
2.0%
1 9
 
1.7%
0 6
 
1.1%
Space Separator
ValueCountFrequency (%)
1448
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 11114
84.8%
Common 1988
 
15.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 1812
16.3%
수 1809
16.3%
흥 1780
16.0%
군 1779
16.0%
원 567
 
5.1%
의 545
 
4.9%
외 531
 
4.8%
인 526
 
4.7%
김 176
 
1.6%
재 99
 
0.9%
Other values (108) 1490
13.4%
Common
ValueCountFrequency (%)
1448
72.8%
2 158
 
7.9%
6 127
 
6.4%
5 94
 
4.7%
4 58
 
2.9%
3 46
 
2.3%
7 16
 
0.8%
8 13
 
0.7%
9 11
 
0.6%
1 9
 
0.5%
Other values (3) 8
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 11114
84.8%
ASCII 1988
 
15.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 1812
16.3%
수 1809
16.3%
흥 1780
16.0%
군 1779
16.0%
원 567
 
5.1%
의 545
 
4.9%
외 531
 
4.8%
인 526
 
4.7%
김 176
 
1.6%
재 99
 
0.9%
Other values (108) 1490
13.4%
ASCII
ValueCountFrequency (%)
1448
72.8%
2 158
 
7.9%
6 127
 
6.4%
5 94
 
4.7%
4 58
 
2.9%
3 46
 
2.3%
7 16
 
0.8%
8 13
 
0.7%
9 11
 
0.6%
1 9
 
0.5%
Other values (3) 8
 
0.4%

본회의 상정일
Text

MISSING 

Distinct453
Distinct (%)19.9%
Missing93
Missing (%)3.9%
Memory size18.6 KiB
2023-12-13T01:37:47.099592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length10.005275
Min length10

Characters and Unicode

Total characters22762
Distinct characters15
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

Unique131 ?
Unique (%)5.8%

Sample

1st row1991-05-28
2nd row1991-05-28
3rd row1991-05-31
4th row1991-05-31
5th row1991-05-31
ValueCountFrequency (%)
1997-09-09 86
 
3.8%
2007-02-09 29
 
1.3%
2022-10-26 27
 
1.2%
2021-03-22 22
 
1.0%
2022-12-16 22
 
1.0%
2006-04-21 20
 
0.9%
2019-10-22 20
 
0.9%
2017-12-13 20
 
0.9%
2021-12-21 19
 
0.8%
2019-03-21 18
 
0.8%
Other values (443) 1992
87.6%
2023-12-13T01:37:47.527735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4837
21.3%
- 4550
20.0%
2 4175
18.3%
1 3782
16.6%
9 1883
 
8.3%
7 711
 
3.1%
3 638
 
2.8%
6 621
 
2.7%
4 620
 
2.7%
5 467
 
2.1%
Other values (5) 478
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 18200
80.0%
Dash Punctuation 4550
 
20.0%
Other Letter 6
 
< 0.1%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 4837
26.6%
2 4175
22.9%
1 3782
20.8%
9 1883
 
10.3%
7 711
 
3.9%
3 638
 
3.5%
6 621
 
3.4%
4 620
 
3.4%
5 467
 
2.6%
8 466
 
2.6%
Other Letter
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 4550
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 22756
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 4837
21.3%
- 4550
20.0%
2 4175
18.3%
1 3782
16.6%
9 1883
 
8.3%
7 711
 
3.1%
3 638
 
2.8%
6 621
 
2.7%
4 620
 
2.7%
5 467
 
2.1%
Other values (3) 472
 
2.1%
Hangul
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 22756
> 99.9%
Hangul 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4837
21.3%
- 4550
20.0%
2 4175
18.3%
1 3782
16.6%
9 1883
 
8.3%
7 711
 
3.1%
3 638
 
2.8%
6 621
 
2.7%
4 620
 
2.7%
5 467
 
2.1%
Other values (3) 472
 
2.1%
Hangul
ValueCountFrequency (%)
철 3
50.0%
회 3
50.0%

본회의 의결일
Date

MISSING 

Distinct452
Distinct (%)19.9%
Missing97
Missing (%)4.1%
Memory size18.6 KiB
Minimum1991-05-28 00:00:00
Maximum2023-07-17 00:00:00
2023-12-13T01:37:47.674620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:37:47.838946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의 처리결과
Categorical

IMBALANCE 

Distinct29
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size18.6 KiB
원안의결
1755 
<NA>
242 
수정의결
 
121
원안가결
 
121
철회
 
31
Other values (24)
 
98

Length

Max length15
Median length4
Mean length4.0287162
Min length2

Unique

Unique16 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
원안의결 1755
74.1%
<NA> 242
 
10.2%
수정의결 121
 
5.1%
원안가결 121
 
5.1%
철회 31
 
1.3%
수정가결 21
 
0.9%
2021-03-22 20
 
0.8%
부결 13
 
0.5%
보류 12
 
0.5%
보고 6
 
0.3%
Other values (19) 26
 
1.1%

Length

2023-12-13T01:37:47.982166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안의결 1755
73.6%
na 242
 
10.2%
수정의결 121
 
5.1%
원안가결 121
 
5.1%
철회 37
 
1.6%
수정가결 21
 
0.9%
2021-03-22 20
 
0.8%
부결 13
 
0.5%
보류 13
 
0.5%
보고 6
 
0.3%
Other values (27) 35
 
1.5%

집행부 이송일
Date

MISSING 

Distinct459
Distinct (%)20.8%
Missing158
Missing (%)6.7%
Memory size18.6 KiB
Minimum1991-05-28 00:00:00
Maximum2023-07-18 00:00:00
2023-12-13T01:37:48.123484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:37:48.301297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct922
Distinct (%)98.2%
Missing1429
Missing (%)60.3%
Memory size18.6 KiB
2023-12-13T01:37:48.703991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length4.0095847
Min length3

Characters and Unicode

Total characters3765
Distinct characters17
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

Unique905 ?
Unique (%)96.4%

Sample

1st row1264
2nd row1267
3rd row1265
4th row1266
5th row1268
ValueCountFrequency (%)
2589 2
 
0.2%
1373 2
 
0.2%
2416 2
 
0.2%
2449 2
 
0.2%
2411 2
 
0.2%
1530 2
 
0.2%
1521 2
 
0.2%
2381 2
 
0.2%
1569 2
 
0.2%
1413 2
 
0.2%
Other values (914) 921
97.9%
2023-12-13T01:37:49.267467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 862
22.9%
1 673
17.9%
4 394
10.5%
5 386
10.3%
3 359
9.5%
6 332
 
8.8%
7 192
 
5.1%
0 191
 
5.1%
9 186
 
4.9%
8 182
 
4.8%
Other values (7) 8
 
0.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3757
99.8%
Other Letter 5
 
0.1%
Space Separator 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 862
22.9%
1 673
17.9%
4 394
10.5%
5 386
10.3%
3 359
9.6%
6 332
 
8.8%
7 192
 
5.1%
0 191
 
5.1%
9 186
 
5.0%
8 182
 
4.8%
Other Letter
ValueCountFrequency (%)
장 1
20.0%
흥 1
20.0%
군 1
20.0%
고 1
20.0%
시 1
20.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3760
99.9%
Hangul 5
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 862
22.9%
1 673
17.9%
4 394
10.5%
5 386
10.3%
3 359
9.5%
6 332
 
8.8%
7 192
 
5.1%
0 191
 
5.1%
9 186
 
4.9%
8 182
 
4.8%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
장 1
20.0%
흥 1
20.0%
군 1
20.0%
고 1
20.0%
시 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3760
99.9%
Hangul 5
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 862
22.9%
1 673
17.9%
4 394
10.5%
5 386
10.3%
3 359
9.5%
6 332
 
8.8%
7 192
 
5.1%
0 191
 
5.1%
9 186
 
4.9%
8 182
 
4.8%
Other values (2) 3
 
0.1%
Hangul
ValueCountFrequency (%)
장 1
20.0%
흥 1
20.0%
군 1
20.0%
고 1
20.0%
시 1
20.0%

공포일자
Date

MISSING 

Distinct199
Distinct (%)21.1%
Missing1427
Missing (%)60.3%
Memory size18.6 KiB
Minimum1991-01-09 00:00:00
Maximum2023-07-28 00:00:00
2023-12-13T01:37:49.419749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:37:49.591129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-13T01:37:42.824466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:37:49.681879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안회기본회의 처리결과
제안회기1.0000.576
본회의 처리결과0.5761.000
2023-12-13T01:37:49.758060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
제안회기본회의 처리결과
제안회기1.0000.218
본회의 처리결과0.2181.000

Missing values

2023-12-13T01:37:42.973359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:37:43.166532image/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.
2023-12-13T01:37:43.325475image/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

의안번호의안명제안일자제안회기제안자본회의 상정일본회의 의결일본회의 처리결과집행부 이송일공포번호공포일자
011990년도 세입 세출결산검사위원 추천에 관한 건1991-05-092장흥군수1991-05-281991-05-28원안의결1991-05-28<NA><NA>
12군수 및 관계공무원 출석요구의 건1991-05-202곽종민 의원 외 10인1991-05-281991-05-28원안의결1991-05-28<NA><NA>
23농업용수 개발 실태조사에 관한 계획(안)1991-05-222이제석 의원 외 5인1991-05-311991-05-31원안의결1991-05-31<NA><NA>
34환경오염 실태조사계획(안)1991-05-222강성식 의원 외 5인1991-05-311991-05-31원안의결1991-05-31<NA><NA>
45장흥군민의 상 조례중 개정조례안1991-05-232장흥군수1991-05-311991-05-31원안의결1991-05-3112641991-06-12
56환경오염 실태조사 결과 보고1991-06-203환경특위위원장1991-07-201991-07-20원안의결1991-07-22<NA><NA>
67농업용수개발 실태조사 결과 보고1991-06-203농업용수특위위원장1991-07-201991-07-20원안의결1991-07-22<NA><NA>
78원자력 발전소 건설에 따른 실태조사계획(안)1991-07-033강성식 의원 외 10인1991-07-201991-07-20원안의결1991-07-20<NA><NA>
89원자력발전소 건설에 따른 실태조사 보고서1991-08-175정정진 의원 외 10인1991-10-091991-10-09원안의결1991-10-09<NA><NA>
910장흥군 체육진흥협의회 조직운영에 관한 조례중 개정조례안1991-09-065장흥군수1991-09-301991-09-30원안의결1991-10-0412671991-10-12
의안번호의안명제안일자제안회기제안자본회의 상정일본회의 의결일본회의 처리결과집행부 이송일공포번호공포일자
23589-141장흥군 소규모 시설 지원 조례 일부개정조례안2023-05-24282장흥군수2023-06-142023-06-14원안가결2023-06-1526672023-06-29
23599-1422022 회계연도 결산 승인안2023-05-24282장흥군수2023-06-142023-06-14원안가결2023-06-15<NA><NA>
23609-1432023년 제2차 수시분 장흥군 공유재산 관리계획 승인안2023-05-24282장흥군수2023-06-142023-06-14원안가결2023-06-15<NA><NA>
23619-144장흥군 장기요양요원 지원에 관한 조례안2023-05-24282윤재숙의원 외 5인2023-06-142023-06-14원안가결2023-06-1526702023-07-13
23629-145장흥군 장사시설 설치 및 관리조례 전부개정조례안2023-06-09282장흥군수2023-06-142023-06-14수정가결2023-06-1526652023-06-29
23639-1462023년도 제2회 장흥군 추가경정예산안2023-07-04283장흥군수2023-07-172023-07-17원안가결2023-07-18<NA><NA>
23649-147장흥군 한의약 및 생물산업 육성 조례 전부개정조례안2023-07-04283장흥군수2023-07-172023-07-17원안가결2023-07-1826722023-07-28
23659-148만나이 통일법 시행에 따른 17개 조례의 일부개정에 관한 조례안2023-07-04283장흥군수2023-07-172023-07-17원안가결2023-07-1826732023-07-28
23669-149장흥군 슬로시티 지원 및 운영에 관한 조례안2023-07-04283장흥군수2023-07-172023-07-17원안가결2023-07-1826742023-07-28
23679-150장흥군 국제 우호 도시 협약 동의안2023-07-05283장흥군수2023-07-172023-07-17원안가결2023-07-18<NA><NA>