Overview

Dataset statistics

Number of variables15
Number of observations3225
Missing cells9210
Missing cells (%)19.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory384.4 KiB
Average record size in memory122.0 B

Variable types

Numeric1
Text7
Categorical4
DateTime2
Unsupported1

Dataset

Description충청남도 보령시의회 의안정보에 대한 데이터로 의안번호, 의안명, 발의(제출)자, 발의(제출)일, 소관위원회, 위원회 회부일, 위원회 보고 및 상정일, 위원회 처리일, 위원회 결과, 본회의 보고일, 본회의 상정일, 본회의 처리일, 본회의 결과, 집행기관이송일, 공포일, 공포번호 제공
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=409&beforeMenuCd=DOM_000000201001001000&publicdatapk=15037827

Alerts

데이터기준일자 has constant value ""Constant
발의자 구분 is highly imbalanced (59.6%)Imbalance
발의의원 is highly imbalanced (92.5%)Imbalance
본회의 보고일 has 130 (4.0%) missing valuesMissing
본회의 상정일 has 122 (3.8%) missing valuesMissing
본회의 처리일 has 123 (3.8%) missing valuesMissing
자치단체 이송일 has 642 (19.9%) missing valuesMissing
공포일 has 1712 (53.1%) missing valuesMissing
처리결과 has 3225 (100.0%) missing valuesMissing
처리결과 내용 has 3223 (99.9%) missing valuesMissing
처리결과 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-01-09 21:23:37.150960
Analysis finished2024-01-09 21:23:38.540888
Duration1.39 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

Distinct3224
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1621.2611
Minimum1
Maximum3315
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size28.5 KiB
2024-01-10T06:23:38.595655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile162.2
Q1808
median1617
Q32423
95-th percentile3153.8
Maximum3315
Range3314
Interquartile range (IQR)1615

Descriptive statistics

Standard deviation941.59283
Coefficient of variation (CV)0.58077804
Kurtosis-1.1641645
Mean1621.2611
Median Absolute Deviation (MAD)808
Skewness0.028150457
Sum5228567
Variance886597.06
MonotonicityIncreasing
2024-01-10T06:23:38.704832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2798 2
 
0.1%
1 1
 
< 0.1%
2158 1
 
< 0.1%
2149 1
 
< 0.1%
2150 1
 
< 0.1%
2151 1
 
< 0.1%
2152 1
 
< 0.1%
2153 1
 
< 0.1%
2154 1
 
< 0.1%
2155 1
 
< 0.1%
Other values (3214) 3214
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
3315 1
< 0.1%
3314 1
< 0.1%
3313 1
< 0.1%
3312 1
< 0.1%
3311 1
< 0.1%
3310 1
< 0.1%
3309 1
< 0.1%
3308 1
< 0.1%
3307 1
< 0.1%
3306 1
< 0.1%

의안명
Text

Distinct2498
Distinct (%)77.5%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2024-01-10T06:23:38.908729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length23.203721
Min length4

Characters and Unicode

Total characters74832
Distinct characters465
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

Unique2233 ?
Unique (%)69.2%

Sample

1st row보령시의회회의규칙안
2nd row보령시의회청원심사규칙안
3rd row보령시의회의원 신분증규칙안
4th row보령시의회 위원회 조례안
5th row보령시의회 공인 조례안
ValueCountFrequency (%)
보령시 1283
 
9.6%
조례 782
 
5.9%
일부개정조례안 741
 
5.5%
및 566
 
4.2%
관한 456
 
3.4%
조례안 366
 
2.7%
건 306
 
2.3%
운영 227
 
1.7%
동의안 201
 
1.5%
민간위탁 159
 
1.2%
Other values (2801) 8266
61.9%
2024-01-10T06:23:39.236316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
10128
 
13.5%
조 3445
 
4.6%
례 3264
 
4.4%
안 2877
 
3.8%
시 2849
 
3.8%
보 2617
 
3.5%
령 2377
 
3.2%
정 2052
 
2.7%
의 1397
 
1.9%
개 1357
 
1.8%
Other values (455) 42469
56.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 61099
81.6%
Space Separator 10128
 
13.5%
Decimal Number 2848
 
3.8%
Close Punctuation 286
 
0.4%
Open Punctuation 286
 
0.4%
Other Punctuation 158
 
0.2%
Uppercase Letter 12
 
< 0.1%
Math Symbol 8
 
< 0.1%
Dash Punctuation 6
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 3445
 
5.6%
례 3264
 
5.3%
안 2877
 
4.7%
시 2849
 
4.7%
보 2617
 
4.3%
령 2377
 
3.9%
정 2052
 
3.4%
의 1397
 
2.3%
개 1357
 
2.2%
관 1351
 
2.2%
Other values (418) 37513
61.4%
Decimal Number
ValueCountFrequency (%)
0 836
29.4%
2 816
28.7%
1 496
17.4%
9 213
 
7.5%
3 127
 
4.5%
5 79
 
2.8%
6 76
 
2.7%
8 76
 
2.7%
4 66
 
2.3%
7 63
 
2.2%
Other Punctuation
ValueCountFrequency (%)
· 80
50.6%
, 38
24.1%
. 26
 
16.5%
/ 3
 
1.9%
; 3
 
1.9%
# 3
 
1.9%
& 3
 
1.9%
' 2
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
E 3
25.0%
M 3
25.0%
T 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
L 1
 
8.3%
B 1
 
8.3%
Close Punctuation
ValueCountFrequency (%)
) 275
96.2%
」 9
 
3.1%
』 1
 
0.3%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 275
96.2%
「 9
 
3.1%
『 1
 
0.3%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
10128
100.0%
Math Symbol
ValueCountFrequency (%)
~ 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 61100
81.6%
Common 13720
 
18.3%
Latin 12
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 3445
 
5.6%
례 3264
 
5.3%
안 2877
 
4.7%
시 2849
 
4.7%
보 2617
 
4.3%
령 2377
 
3.9%
정 2052
 
3.4%
의 1397
 
2.3%
개 1357
 
2.2%
관 1351
 
2.2%
Other values (419) 37514
61.4%
Common
ValueCountFrequency (%)
10128
73.8%
0 836
 
6.1%
2 816
 
5.9%
1 496
 
3.6%
) 275
 
2.0%
( 275
 
2.0%
9 213
 
1.6%
3 127
 
0.9%
· 80
 
0.6%
5 79
 
0.6%
Other values (19) 395
 
2.9%
Latin
ValueCountFrequency (%)
E 3
25.0%
M 3
25.0%
T 2
16.7%
A 1
 
8.3%
F 1
 
8.3%
L 1
 
8.3%
B 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 61097
81.6%
ASCII 13632
 
18.2%
None 101
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
10128
74.3%
0 836
 
6.1%
2 816
 
6.0%
1 496
 
3.6%
) 275
 
2.0%
( 275
 
2.0%
9 213
 
1.6%
3 127
 
0.9%
5 79
 
0.6%
6 76
 
0.6%
Other values (21) 311
 
2.3%
Hangul
ValueCountFrequency (%)
조 3445
 
5.6%
례 3264
 
5.3%
안 2877
 
4.7%
시 2849
 
4.7%
보 2617
 
4.3%
령 2377
 
3.9%
정 2052
 
3.4%
의 1397
 
2.3%
개 1357
 
2.2%
관 1351
 
2.2%
Other values (417) 37511
61.4%
None
ValueCountFrequency (%)
· 80
79.2%
」 9
 
8.9%
「 9
 
8.9%
㈜ 1
 
1.0%
『 1
 
1.0%
』 1
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

의안종류
Categorical

Distinct10
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
조례안
1922 
기타안건
391 
예산안·결산안
317 
동의안
207 
계획안
 
130
Other values (5)
258 

Length

Max length7
Median length3
Mean length3.6455814
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row규칙안
2nd row규칙안
3rd row규칙안
4th row조례안
5th row조례안

Common Values

ValueCountFrequency (%)
조례안 1922
59.6%
기타안건 391
 
12.1%
예산안·결산안 317
 
9.8%
동의안 207
 
6.4%
계획안 130
 
4.0%
승인안 82
 
2.5%
의견제시의건 81
 
2.5%
건의안·결의안 45
 
1.4%
규칙안 38
 
1.2%
규약안 12
 
0.4%

Length

2024-01-10T06:23:39.370563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:23:39.501744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
조례안 1922
59.6%
기타안건 391
 
12.1%
예산안·결산안 317
 
9.8%
동의안 207
 
6.4%
계획안 130
 
4.0%
승인안 82
 
2.5%
의견제시의건 81
 
2.5%
건의안·결의안 45
 
1.4%
규칙안 38
 
1.2%
규약안 12
 
0.4%

발의자 구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
시장
2590 
의원
471 
의장
 
85
위원장
 
73
기타
 
6

Length

Max length3
Median length2
Mean length2.0226357
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의원
2nd row의원
3rd row의원
4th row시장
5th row시장

Common Values

ValueCountFrequency (%)
시장 2590
80.3%
의원 471
 
14.6%
의장 85
 
2.6%
위원장 73
 
2.3%
기타 6
 
0.2%

Length

2024-01-10T06:23:39.641340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:23:39.749328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시장 2590
80.3%
의원 471
 
14.6%
의장 85
 
2.6%
위원장 73
 
2.3%
기타 6
 
0.2%

발의자
Text

Distinct287
Distinct (%)8.9%
Missing2
Missing (%)0.1%
Memory size25.3 KiB
2024-01-10T06:23:39.969189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length4
Mean length4.9931741
Min length2

Characters and Unicode

Total characters16093
Distinct characters149
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

Unique214 ?
Unique (%)6.6%

Sample

1st row의원발의(이준우의원외16인)
2nd row의원발의(김완복의원외16인)
3rd row양석우 의원외 16인
4th row보령시장
5th row보령시장
ValueCountFrequency (%)
보령시장 2464
68.2%
시장 126
 
3.5%
5인 52
 
1.4%
9인 52
 
1.4%
의장 44
 
1.2%
조례정비특별위원장 40
 
1.1%
외 35
 
1.0%
보령시의회의장 28
 
0.8%
11명 20
 
0.6%
4인 19
 
0.5%
Other values (220) 731
 
20.2%
2024-01-10T06:23:40.278858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2779
17.3%
시 2634
16.4%
보 2513
15.6%
령 2512
15.6%
의 945
 
5.9%
원 677
 
4.2%
388
 
2.4%
외 319
 
2.0%
인 246
 
1.5%
발 234
 
1.5%
Other values (139) 2846
17.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14856
92.3%
Decimal Number 411
 
2.6%
Space Separator 388
 
2.4%
Open Punctuation 218
 
1.4%
Close Punctuation 218
 
1.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2779
18.7%
시 2634
17.7%
보 2513
16.9%
령 2512
16.9%
의 945
 
6.4%
원 677
 
4.6%
외 319
 
2.1%
인 246
 
1.7%
발 234
 
1.6%
김 116
 
0.8%
Other values (125) 1881
12.7%
Decimal Number
ValueCountFrequency (%)
1 122
29.7%
5 74
18.0%
9 63
15.3%
4 49
11.9%
6 27
 
6.6%
0 24
 
5.8%
8 21
 
5.1%
7 19
 
4.6%
3 9
 
2.2%
2 3
 
0.7%
Space Separator
ValueCountFrequency (%)
388
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14856
92.3%
Common 1237
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2779
18.7%
시 2634
17.7%
보 2513
16.9%
령 2512
16.9%
의 945
 
6.4%
원 677
 
4.6%
외 319
 
2.1%
인 246
 
1.7%
발 234
 
1.6%
김 116
 
0.8%
Other values (125) 1881
12.7%
Common
ValueCountFrequency (%)
388
31.4%
( 218
17.6%
) 218
17.6%
1 122
 
9.9%
5 74
 
6.0%
9 63
 
5.1%
4 49
 
4.0%
6 27
 
2.2%
0 24
 
1.9%
8 21
 
1.7%
Other values (4) 33
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14856
92.3%
ASCII 1237
 
7.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2779
18.7%
시 2634
17.7%
보 2513
16.9%
령 2512
16.9%
의 945
 
6.4%
원 677
 
4.6%
외 319
 
2.1%
인 246
 
1.7%
발 234
 
1.6%
김 116
 
0.8%
Other values (125) 1881
12.7%
ASCII
ValueCountFrequency (%)
388
31.4%
( 218
17.6%
) 218
17.6%
1 122
 
9.9%
5 74
 
6.0%
9 63
 
5.1%
4 49
 
4.0%
6 27
 
2.2%
0 24
 
1.9%
8 21
 
1.7%
Other values (4) 33
 
2.7%

발의일
Text

Distinct750
Distinct (%)23.5%
Missing31
Missing (%)1.0%
Memory size25.3 KiB
2024-01-10T06:23:40.492625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.000313
Min length9

Characters and Unicode

Total characters31941
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

Unique334 ?
Unique (%)10.5%

Sample

1st row1995-01-02
2nd row1995-01-02
3rd row1995-01-02
4th row1995-01-02
5th row1995-01-02
ValueCountFrequency (%)
1995-01-02 139
 
4.4%
1997-10-08 60
 
1.9%
2022-03-28 45
 
1.4%
2016-11-18 37
 
1.2%
2015-10-08 35
 
1.1%
2015-11-18 34
 
1.1%
1999-08-02 30
 
0.9%
2020-11-17 29
 
0.9%
2018-03-05 28
 
0.9%
2013-11-19 27
 
0.8%
Other values (740) 2730
85.5%
2024-01-10T06:23:40.812709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7392
23.1%
- 6389
20.0%
1 5840
18.3%
2 4952
15.5%
9 2216
 
6.9%
8 1075
 
3.4%
5 896
 
2.8%
3 840
 
2.6%
7 833
 
2.6%
6 765
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 25552
80.0%
Dash Punctuation 6389
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7392
28.9%
1 5840
22.9%
2 4952
19.4%
9 2216
 
8.7%
8 1075
 
4.2%
5 896
 
3.5%
3 840
 
3.3%
7 833
 
3.3%
6 765
 
3.0%
4 743
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 6389
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31941
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7392
23.1%
- 6389
20.0%
1 5840
18.3%
2 4952
15.5%
9 2216
 
6.9%
8 1075
 
3.4%
5 896
 
2.8%
3 840
 
2.6%
7 833
 
2.6%
6 765
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31941
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7392
23.1%
- 6389
20.0%
1 5840
18.3%
2 4952
15.5%
9 2216
 
6.9%
8 1075
 
3.4%
5 896
 
2.8%
3 840
 
2.6%
7 833
 
2.6%
6 765
 
2.4%

발의의원
Categorical

IMBALANCE 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
<NA>
3111 
박금순, 김홍기, 권승현, 조성철, 백남숙, 최주경, 박상모, 한동인, 김충호, 문석주, 최용식, 김정훈
 
96
박상모, 김충호, 백성현, 이정근, 백영창, 성태용, 최은순, 김정훈, 조장현, 김재관, 서경옥, 추보라
 
7
김홍기, 권승현, 조성철, 백남숙, 한동인, 문석주, 최용식, 김정훈
 
3
김홍기, 권승현, 조성철, 최주경, 박상모, 한동인, 문석주, 최용식, 김정훈
 
2
Other values (6)
 
6

Length

Max length58
Median length4
Mean length5.8499225
Min length4

Unique

Unique6 ?
Unique (%)0.2%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3111
96.5%
박금순, 김홍기, 권승현, 조성철, 백남숙, 최주경, 박상모, 한동인, 김충호, 문석주, 최용식, 김정훈 96
 
3.0%
박상모, 김충호, 백성현, 이정근, 백영창, 성태용, 최은순, 김정훈, 조장현, 김재관, 서경옥, 추보라 7
 
0.2%
김홍기, 권승현, 조성철, 백남숙, 한동인, 문석주, 최용식, 김정훈 3
 
0.1%
김홍기, 권승현, 조성철, 최주경, 박상모, 한동인, 문석주, 최용식, 김정훈 2
 
0.1%
김홍기, 권승현, 조성철, 백남숙, 최주경, 박상모, 김충호, 최용식, 김정훈 1
 
< 0.1%
박금순, 김홍기, 권승현, 조성철, 백남숙, 박상모, 한동인, 김충호, 문석주, 최용식, 김정훈 1
 
< 0.1%
백남숙, 최주경, 박상모, 김충호, 문석주, 김정훈 1
 
< 0.1%
김홍기, 조성철, 백남숙, 최주경, 박상모, 김충호, 문석주, 최용식, 김정훈 1
 
< 0.1%
박금순, 김홍기, 조성철, 백남숙, 최주경, 박상모, 한동인, 김충호, 문석주, 김정훈 1
 
< 0.1%

Length

2024-01-10T06:23:40.931786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3111
70.1%
김정훈 114
 
2.6%
박상모 111
 
2.5%
김충호 109
 
2.5%
김홍기 106
 
2.4%
조성철 105
 
2.4%
백남숙 105
 
2.4%
문석주 105
 
2.4%
최용식 104
 
2.3%
한동인 103
 
2.3%
Other values (12) 368
 
8.3%

본회의 보고일
Text

MISSING 

Distinct429
Distinct (%)13.9%
Missing130
Missing (%)4.0%
Memory size25.3 KiB
2024-01-10T06:23:41.129110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.000323
Min length9

Characters and Unicode

Total characters30951
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

Unique96 ?
Unique (%)3.1%

Sample

1st row1995-01-03
2nd row1995-01-03
3rd row1995-01-03
4th row1995-01-03
5th row1995-01-03
ValueCountFrequency (%)
1995-01-03 139
 
4.5%
1997-10-25 60
 
1.9%
2022-04-12 45
 
1.5%
2015-12-11 42
 
1.4%
2013-09-12 39
 
1.3%
2016-12-09 36
 
1.2%
2015-10-26 34
 
1.1%
1999-08-14 33
 
1.1%
2000-12-21 28
 
0.9%
1999-05-28 28
 
0.9%
Other values (419) 2611
84.4%
2024-01-10T06:23:41.448248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6777
21.9%
- 6191
20.0%
2 5648
18.2%
1 5216
16.9%
9 2167
 
7.0%
5 1038
 
3.4%
3 974
 
3.1%
6 857
 
2.8%
8 759
 
2.5%
4 714
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24760
80.0%
Dash Punctuation 6191
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6777
27.4%
2 5648
22.8%
1 5216
21.1%
9 2167
 
8.8%
5 1038
 
4.2%
3 974
 
3.9%
6 857
 
3.5%
8 759
 
3.1%
4 714
 
2.9%
7 610
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 6191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 30951
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6777
21.9%
- 6191
20.0%
2 5648
18.2%
1 5216
16.9%
9 2167
 
7.0%
5 1038
 
3.4%
3 974
 
3.1%
6 857
 
2.8%
8 759
 
2.5%
4 714
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 30951
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6777
21.9%
- 6191
20.0%
2 5648
18.2%
1 5216
16.9%
9 2167
 
7.0%
5 1038
 
3.4%
3 974
 
3.1%
6 857
 
2.8%
8 759
 
2.5%
4 714
 
2.3%

본회의 상정일
Text

MISSING 

Distinct403
Distinct (%)13.0%
Missing122
Missing (%)3.8%
Memory size25.3 KiB
2024-01-10T06:23:41.668452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters31030
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

Unique90 ?
Unique (%)2.9%

Sample

1st row1995-01-03
2nd row1995-01-03
3rd row1995-01-03
4th row1995-01-03
5th row1995-01-03
ValueCountFrequency (%)
1995-01-03 139
 
4.5%
1997-10-25 60
 
1.9%
2022-04-12 45
 
1.5%
2015-12-11 42
 
1.4%
2021-12-17 40
 
1.3%
2013-09-12 39
 
1.3%
2016-12-09 36
 
1.2%
2015-10-26 34
 
1.1%
1999-08-14 33
 
1.1%
2000-12-21 30
 
1.0%
Other values (393) 2605
84.0%
2024-01-10T06:23:41.975761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6731
21.7%
- 6206
20.0%
2 5720
18.4%
1 5144
16.6%
9 2215
 
7.1%
5 1035
 
3.3%
3 990
 
3.2%
6 889
 
2.9%
8 730
 
2.4%
4 708
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24824
80.0%
Dash Punctuation 6206
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6731
27.1%
2 5720
23.0%
1 5144
20.7%
9 2215
 
8.9%
5 1035
 
4.2%
3 990
 
4.0%
6 889
 
3.6%
8 730
 
2.9%
4 708
 
2.9%
7 662
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 6206
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31030
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6731
21.7%
- 6206
20.0%
2 5720
18.4%
1 5144
16.6%
9 2215
 
7.1%
5 1035
 
3.3%
3 990
 
3.2%
6 889
 
2.9%
8 730
 
2.4%
4 708
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31030
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6731
21.7%
- 6206
20.0%
2 5720
18.4%
1 5144
16.6%
9 2215
 
7.1%
5 1035
 
3.3%
3 990
 
3.2%
6 889
 
2.9%
8 730
 
2.4%
4 708
 
2.3%

본회의 처리일
Text

MISSING 

Distinct408
Distinct (%)13.2%
Missing123
Missing (%)3.8%
Memory size25.3 KiB
2024-01-10T06:23:42.189625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.000322
Min length10

Characters and Unicode

Total characters31021
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

Unique94 ?
Unique (%)3.0%

Sample

1st row1995-01-03
2nd row1995-01-03
3rd row1995-01-03
4th row1995-01-03
5th row1995-01-03
ValueCountFrequency (%)
1995-01-03 139
 
4.5%
1997-10-25 60
 
1.9%
2022-04-12 45
 
1.5%
2015-12-11 42
 
1.4%
2021-12-17 41
 
1.3%
2013-09-12 39
 
1.3%
2016-12-09 36
 
1.2%
2015-10-26 34
 
1.1%
1999-08-14 33
 
1.1%
2000-12-21 30
 
1.0%
Other values (397) 2603
83.9%
2024-01-10T06:23:42.502155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6734
21.7%
- 6205
20.0%
2 5719
18.4%
1 5143
16.6%
9 2214
 
7.1%
5 1034
 
3.3%
3 997
 
3.2%
6 888
 
2.9%
8 721
 
2.3%
4 703
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 24816
80.0%
Dash Punctuation 6205
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6734
27.1%
2 5719
23.0%
1 5143
20.7%
9 2214
 
8.9%
5 1034
 
4.2%
3 997
 
4.0%
6 888
 
3.6%
8 721
 
2.9%
4 703
 
2.8%
7 663
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 6205
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 31021
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6734
21.7%
- 6205
20.0%
2 5719
18.4%
1 5143
16.6%
9 2214
 
7.1%
5 1034
 
3.3%
3 997
 
3.2%
6 888
 
2.9%
8 721
 
2.3%
4 703
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 31021
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6734
21.7%
- 6205
20.0%
2 5719
18.4%
1 5143
16.6%
9 2214
 
7.1%
5 1034
 
3.3%
3 997
 
3.2%
6 888
 
2.9%
8 721
 
2.3%
4 703
 
2.3%

자치단체 이송일
Date

MISSING 

Distinct279
Distinct (%)10.8%
Missing642
Missing (%)19.9%
Memory size25.3 KiB
Minimum1995-01-04 00:00:00
Maximum2022-10-28 00:00:00
2024-01-10T06:23:42.615734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:23:42.716698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct203
Distinct (%)13.4%
Missing1712
Missing (%)53.1%
Memory size25.3 KiB
Minimum1995-01-04 00:00:00
Maximum2022-04-20 00:00:00
2024-01-10T06:23:42.820248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:23:42.922152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리결과
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing3225
Missing (%)100.0%
Memory size28.5 KiB

처리결과 내용
Text

MISSING 

Distinct2
Distinct (%)100.0%
Missing3223
Missing (%)99.9%
Memory size25.3 KiB
2024-01-10T06:23:43.064022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length63
Mean length63
Min length41

Characters and Unicode

Total characters126
Distinct characters40
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

Unique2 ?
Unique (%)100.0%

Sample

1st row제219회 임시회 상정 당시 보류된 안건 / 제220회 임시회에서 원안가결
2nd row2020년 수정예산안 >> 예결위 제출(회부): 19.12.16./ 의결: 19.12.17./ 본회의 보고: 19.12.17./ 의결: 19.12.19.
ValueCountFrequency (%)
19.12.17 2
 
8.7%
의결 2
 
8.7%
2
 
8.7%
제219회 1
 
4.3%
수정예산안 1
 
4.3%
보고 1
 
4.3%
본회의 1
 
4.3%
19.12.16 1
 
4.3%
제출(회부 1
 
4.3%
예결위 1
 
4.3%
Other values (10) 10
43.5%
2024-01-10T06:23:43.291152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
16.7%
1 13
 
10.3%
. 12
 
9.5%
2 9
 
7.1%
9 6
 
4.8%
회 6
 
4.8%
: 4
 
3.2%
/ 4
 
3.2%
결 4
 
3.2%
제 3
 
2.4%
Other values (30) 44
34.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 47
37.3%
Decimal Number 34
27.0%
Space Separator 21
16.7%
Other Punctuation 20
15.9%
Math Symbol 2
 
1.6%
Open Punctuation 1
 
0.8%
Close Punctuation 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 6
 
12.8%
결 4
 
8.5%
제 3
 
6.4%
안 3
 
6.4%
시 3
 
6.4%
의 3
 
6.4%
보 2
 
4.3%
정 2
 
4.3%
예 2
 
4.3%
임 2
 
4.3%
Other values (17) 17
36.2%
Decimal Number
ValueCountFrequency (%)
1 13
38.2%
2 9
26.5%
9 6
17.6%
0 3
 
8.8%
7 2
 
5.9%
6 1
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 12
60.0%
: 4
 
20.0%
/ 4
 
20.0%
Space Separator
ValueCountFrequency (%)
21
100.0%
Math Symbol
ValueCountFrequency (%)
> 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 79
62.7%
Hangul 47
37.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 6
 
12.8%
결 4
 
8.5%
제 3
 
6.4%
안 3
 
6.4%
시 3
 
6.4%
의 3
 
6.4%
보 2
 
4.3%
정 2
 
4.3%
예 2
 
4.3%
임 2
 
4.3%
Other values (17) 17
36.2%
Common
ValueCountFrequency (%)
21
26.6%
1 13
16.5%
. 12
15.2%
2 9
11.4%
9 6
 
7.6%
: 4
 
5.1%
/ 4
 
5.1%
0 3
 
3.8%
> 2
 
2.5%
7 2
 
2.5%
Other values (3) 3
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 79
62.7%
Hangul 47
37.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
21
26.6%
1 13
16.5%
. 12
15.2%
2 9
11.4%
9 6
 
7.6%
: 4
 
5.1%
/ 4
 
5.1%
0 3
 
3.8%
> 2
 
2.5%
7 2
 
2.5%
Other values (3) 3
 
3.8%
Hangul
ValueCountFrequency (%)
회 6
 
12.8%
결 4
 
8.5%
제 3
 
6.4%
안 3
 
6.4%
시 3
 
6.4%
의 3
 
6.4%
보 2
 
4.3%
정 2
 
4.3%
예 2
 
4.3%
임 2
 
4.3%
Other values (17) 17
36.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size25.3 KiB
2022-10-30
3225 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-10-30
2nd row2022-10-30
3rd row2022-10-30
4th row2022-10-30
5th row2022-10-30

Common Values

ValueCountFrequency (%)
2022-10-30 3225
100.0%

Length

2024-01-10T06:23:43.388837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:23:43.460608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-10-30 3225
100.0%

Interactions

2024-01-10T06:23:37.863982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:23:43.513416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호의안종류발의자 구분발의의원처리결과 내용
의안번호1.0000.3370.2670.373NaN
의안종류0.3371.0000.6990.0000.000
발의자 구분0.2670.6991.0000.000NaN
발의의원0.3730.0000.0001.000NaN
처리결과 내용NaN0.000NaNNaN1.000
2024-01-10T06:23:43.611908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안종류발의자 구분발의의원
의안종류1.0000.3630.000
발의자 구분0.3631.0000.000
발의의원0.0000.0001.000
2024-01-10T06:23:43.700042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호의안종류발의자 구분발의의원
의안번호1.0000.1090.1140.233
의안종류0.1091.0000.3630.000
발의자 구분0.1140.3631.0000.000
발의의원0.2330.0000.0001.000

Missing values

2024-01-10T06:23:38.186142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:23:38.337695image/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.
2024-01-10T06:23:38.459997image/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

의안번호의안명의안종류발의자 구분발의자발의일발의의원본회의 보고일본회의 상정일본회의 처리일자치단체 이송일공포일처리결과처리결과 내용데이터기준일자
01보령시의회회의규칙안규칙안의원의원발의(이준우의원외16인)1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-04<NA><NA>2022-10-30
12보령시의회청원심사규칙안규칙안의원의원발의(김완복의원외16인)1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-04<NA><NA>2022-10-30
23보령시의회의원 신분증규칙안규칙안의원양석우 의원외 16인1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-04<NA><NA>2022-10-30
34보령시의회 위원회 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
45보령시의회 공인 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
56보령시의회사무국의설치 및 사무직원의정수등에 관한 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
67보령시의회 행정사무감사및조사에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
78보령시의회의원일비및여비지급에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
89보령시의회의원상해등보상금지급에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
910보령시의회에출석, 답변할수있는관계공무원의범위에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-05<NA><NA>2022-10-30
의안번호의안명의안종류발의자 구분발의자발의일발의의원본회의 보고일본회의 상정일본회의 처리일자치단체 이송일공포일처리결과처리결과 내용데이터기준일자
32153306교통약자 이동지원센터 관리, 운영 민간위탁 동의안동의안시장보령시장2022-10-07<NA>2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30
32163307관광두레 조성사업 업무협약 체결 동의안동의안시장보령시장2022-10-07<NA>2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30
32173308대천해수욕장 관광지 질서계도 업무 민간위탁 동의안동의안시장보령시장2022-10-07<NA>2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30
32183309보령시 아동 청소년 부모 빚 대물림 관련 법률지원 조례안조례안의원최은순2022-10-07박상모, 김충호, 백성현, 이정근, 백영창, 성태용, 최은순, 김정훈, 조장현, 김재관, 서경옥, 추보라2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30
321933102023년도 보령시 소상공인지원 특례보증 출연 등에 관한 건기타안건시장보령시장2022-10-07<NA>2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30
32203311지역사랑 상품권 국비지원 촉구 건의문건의안·결의안의원조장현2022-10-17박상모, 김충호, 백성현, 이정근, 백영창, 성태용, 최은순, 김정훈, 조장현, 김재관, 서경옥, 추보라2022-10-172022-10-172022-10-172022-10-28<NA><NA><NA>2022-10-30
322133122022년도 행정사무감사특별위원회 구성 및 위원 선임의 건기타안건의장의장2022-10-17<NA>2022-10-172022-10-172022-10-17<NA><NA><NA><NA>2022-10-30
322233132022년도 하반기 주요사업장 방문의 건기타안건기타의원전원2022-10-17박상모, 김충호, 백성현, 이정근, 백영창, 성태용, 최은순, 김정훈, 조장현, 김재관, 서경옥, 추보라2022-10-172022-10-172022-10-172022-10-28<NA><NA><NA>2022-10-30
322333142022년도 행정사무감사 실시 시기 및 기간 결정의 건기타안건위원장의회운영위원장2022-10-24<NA>2022-10-262022-10-262022-10-26<NA><NA><NA><NA>2022-10-30
322433152022년도 행정사무감사 계획서 승인의 건승인안위원장행정사무감사특별위원장2022-10-25<NA>2022-10-262022-10-262022-10-262022-10-28<NA><NA><NA>2022-10-30