Overview

Dataset statistics

Number of variables13
Number of observations3490
Missing cells2942
Missing cells (%)6.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory358.0 KiB
Average record size in memory105.0 B

Variable types

Numeric1
Text6
Categorical3
DateTime3

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 보령시
URLhttps://www.data.go.kr/data/15037827/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
의안번호 is highly overall correlated with 발의의원High correlation
의안종류 is highly overall correlated with 발의의원High correlation
발의의원 is highly overall correlated with 의안번호 and 1 other fieldsHigh correlation
발의자 구분 is highly imbalanced (59.5%)Imbalance
발의의원 is highly imbalanced (91.6%)Imbalance
본회의 보고일 has 131 (3.8%) missing valuesMissing
본회의 상정일 has 123 (3.5%) missing valuesMissing
본회의 처리일 has 124 (3.6%) missing valuesMissing
자치단체 이송일 has 664 (19.0%) missing valuesMissing
공포일 has 1867 (53.5%) missing valuesMissing

Reproduction

Analysis started2024-04-06 09:02:33.914162
Analysis finished2024-04-06 09:02:36.386961
Duration2.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct3489
Distinct (%)> 99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1760.1246
Minimum1
Maximum3584
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size30.8 KiB
2024-04-06T18:02:36.524351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile175.45
Q1874.25
median1749.5
Q32621.75
95-th percentile3407.55
Maximum3584
Range3583
Interquartile range (IQR)1747.5

Descriptive statistics

Standard deviation1026.8669
Coefficient of variation (CV)0.58340578
Kurtosis-1.1615811
Mean1760.1246
Median Absolute Deviation (MAD)874
Skewness0.043278653
Sum6142835
Variance1054455.6
MonotonicityIncreasing
2024-04-06T18:02:36.792956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2798 2
 
0.1%
2337 1
 
< 0.1%
2326 1
 
< 0.1%
2327 1
 
< 0.1%
2328 1
 
< 0.1%
2329 1
 
< 0.1%
2330 1
 
< 0.1%
2331 1
 
< 0.1%
2332 1
 
< 0.1%
2333 1
 
< 0.1%
Other values (3479) 3479
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 (%)
3584 1
< 0.1%
3583 1
< 0.1%
3582 1
< 0.1%
3581 1
< 0.1%
3580 1
< 0.1%
3579 1
< 0.1%
3578 1
< 0.1%
3577 1
< 0.1%
3576 1
< 0.1%
3575 1
< 0.1%

의안명
Text

Distinct2703
Distinct (%)77.4%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
2024-04-06T18:02:37.192115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46
Mean length23.481662
Min length4

Characters and Unicode

Total characters81951
Distinct characters485
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

Unique2411 ?
Unique (%)69.1%

Sample

1st row보령시의회회의규칙안
2nd row보령시의회청원심사규칙안
3rd row보령시의회의원 신분증규칙안
4th row보령시의회 위원회 조례안
5th row보령시의회 공인 조례안
ValueCountFrequency (%)
보령시 1420
 
9.5%
조례 876
 
5.8%
일부개정조례안 820
 
5.5%
및 642
 
4.3%
관한 524
 
3.5%
조례안 409
 
2.7%
건 341
 
2.3%
운영 255
 
1.7%
동의안 249
 
1.7%
민간위탁 188
 
1.3%
Other values (3040) 9257
61.8%
2024-04-06T18:02:37.904074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11491
 
14.0%
조 3687
 
4.5%
례 3498
 
4.3%
안 3118
 
3.8%
시 3064
 
3.7%
보 2811
 
3.4%
령 2551
 
3.1%
정 2197
 
2.7%
의 1530
 
1.9%
관 1500
 
1.8%
Other values (475) 46504
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 66592
81.3%
Space Separator 11491
 
14.0%
Decimal Number 3051
 
3.7%
Close Punctuation 309
 
0.4%
Open Punctuation 309
 
0.4%
Other Punctuation 165
 
0.2%
Uppercase Letter 16
 
< 0.1%
Math Symbol 10
 
< 0.1%
Dash Punctuation 7
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 3687
 
5.5%
례 3498
 
5.3%
안 3118
 
4.7%
시 3064
 
4.6%
보 2811
 
4.2%
령 2551
 
3.8%
정 2197
 
3.3%
의 1530
 
2.3%
관 1500
 
2.3%
개 1459
 
2.2%
Other values (436) 41177
61.8%
Decimal Number
ValueCountFrequency (%)
2 917
30.1%
0 881
28.9%
1 502
16.5%
9 213
 
7.0%
3 163
 
5.3%
5 82
 
2.7%
8 78
 
2.6%
6 77
 
2.5%
4 74
 
2.4%
7 64
 
2.1%
Uppercase Letter
ValueCountFrequency (%)
M 4
25.0%
E 4
25.0%
T 2
12.5%
C 1
 
6.2%
I 1
 
6.2%
L 1
 
6.2%
B 1
 
6.2%
F 1
 
6.2%
A 1
 
6.2%
Other Punctuation
ValueCountFrequency (%)
· 83
50.3%
, 42
25.5%
. 26
 
15.8%
# 3
 
1.8%
& 3
 
1.8%
; 3
 
1.8%
/ 3
 
1.8%
' 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 296
95.8%
」 11
 
3.6%
』 1
 
0.3%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 296
95.8%
「 11
 
3.6%
『 1
 
0.3%
[ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
11491
100.0%
Math Symbol
ValueCountFrequency (%)
~ 10
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 66593
81.3%
Common 15342
 
18.7%
Latin 16
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 3687
 
5.5%
례 3498
 
5.3%
안 3118
 
4.7%
시 3064
 
4.6%
보 2811
 
4.2%
령 2551
 
3.8%
정 2197
 
3.3%
의 1530
 
2.3%
관 1500
 
2.3%
개 1459
 
2.2%
Other values (437) 41178
61.8%
Common
ValueCountFrequency (%)
11491
74.9%
2 917
 
6.0%
0 881
 
5.7%
1 502
 
3.3%
) 296
 
1.9%
( 296
 
1.9%
9 213
 
1.4%
3 163
 
1.1%
· 83
 
0.5%
5 82
 
0.5%
Other values (19) 418
 
2.7%
Latin
ValueCountFrequency (%)
M 4
25.0%
E 4
25.0%
T 2
12.5%
C 1
 
6.2%
I 1
 
6.2%
L 1
 
6.2%
B 1
 
6.2%
F 1
 
6.2%
A 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 66590
81.3%
ASCII 15251
 
18.6%
None 108
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11491
75.3%
2 917
 
6.0%
0 881
 
5.8%
1 502
 
3.3%
) 296
 
1.9%
( 296
 
1.9%
9 213
 
1.4%
3 163
 
1.1%
5 82
 
0.5%
8 78
 
0.5%
Other values (23) 332
 
2.2%
Hangul
ValueCountFrequency (%)
조 3687
 
5.5%
례 3498
 
5.3%
안 3118
 
4.7%
시 3064
 
4.6%
보 2811
 
4.2%
령 2551
 
3.8%
정 2197
 
3.3%
의 1530
 
2.3%
관 1500
 
2.3%
개 1459
 
2.2%
Other values (435) 41175
61.8%
None
ValueCountFrequency (%)
· 83
76.9%
」 11
 
10.2%
「 11
 
10.2%
』 1
 
0.9%
『 1
 
0.9%
㈜ 1
 
0.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 2
100.0%

의안종류
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
조례안
2055 
기타안건
422 
예산안·결산안
332 
동의안
257 
계획안
 
142
Other values (6)
282 

Length

Max length7
Median length3
Mean length3.6366762
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
조례안 2055
58.9%
기타안건 422
 
12.1%
예산안·결산안 332
 
9.5%
동의안 257
 
7.4%
계획안 142
 
4.1%
의견제시의건 88
 
2.5%
승인안 85
 
2.4%
건의안·결의안 52
 
1.5%
규칙안 42
 
1.2%
규약안 12
 
0.3%

Length

2024-04-06T18:02:38.157974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
조례안 2055
58.9%
기타안건 422
 
12.1%
예산안·결산안 332
 
9.5%
동의안 257
 
7.4%
계획안 142
 
4.1%
의견제시의건 88
 
2.5%
승인안 85
 
2.4%
건의안·결의안 52
 
1.5%
규칙안 42
 
1.2%
규약안 12
 
0.3%

발의자 구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
시장
2801 
의원
511 
의장
 
94
위원장
 
78
기타
 
6

Length

Max length3
Median length2
Mean length2.0223496
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시장 2801
80.3%
의원 511
 
14.6%
의장 94
 
2.7%
위원장 78
 
2.2%
기타 6
 
0.2%

Length

2024-04-06T18:02:38.419368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-06T18:02:38.649919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시장 2801
80.3%
의원 511
 
14.6%
의장 94
 
2.7%
위원장 78
 
2.2%
기타 6
 
0.2%

발의자
Text

Distinct292
Distinct (%)8.4%
Missing2
Missing (%)0.1%
Memory size27.4 KiB
2024-04-06T18:02:39.112626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length4
Mean length4.9079702
Min length2

Characters and Unicode

Total characters17119
Distinct characters152
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

Unique209 ?
Unique (%)6.0%

Sample

1st row의원발의(이준우의원외16인)
2nd row의원발의(김완복의원외16인)
3rd row양석우 의원외 16인
4th row보령시장
5th row보령시장
ValueCountFrequency (%)
보령시장 2675
69.0%
시장 126
 
3.3%
의장 53
 
1.4%
9인 52
 
1.3%
5인 52
 
1.3%
조례정비특별위원장 40
 
1.0%
외 35
 
0.9%
보령시의회의장 28
 
0.7%
박상모 22
 
0.6%
의회운영위원장 20
 
0.5%
Other values (224) 773
 
19.9%
2024-04-06T18:02:39.929431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 3010
17.6%
시 2845
16.6%
보 2728
15.9%
령 2724
15.9%
의 957
 
5.6%
원 682
 
4.0%
388
 
2.3%
외 319
 
1.9%
인 246
 
1.4%
발 234
 
1.4%
Other values (142) 2986
17.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15882
92.8%
Decimal Number 411
 
2.4%
Space Separator 388
 
2.3%
Close Punctuation 218
 
1.3%
Open Punctuation 218
 
1.3%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 3010
19.0%
시 2845
17.9%
보 2728
17.2%
령 2724
17.2%
의 957
 
6.0%
원 682
 
4.3%
외 319
 
2.0%
인 246
 
1.5%
발 234
 
1.5%
김 126
 
0.8%
Other values (128) 2011
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%
Close Punctuation
ValueCountFrequency (%)
) 218
100.0%
Open Punctuation
ValueCountFrequency (%)
( 218
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15882
92.8%
Common 1237
 
7.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 3010
19.0%
시 2845
17.9%
보 2728
17.2%
령 2724
17.2%
의 957
 
6.0%
원 682
 
4.3%
외 319
 
2.0%
인 246
 
1.5%
발 234
 
1.5%
김 126
 
0.8%
Other values (128) 2011
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 15882
92.8%
ASCII 1237
 
7.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 3010
19.0%
시 2845
17.9%
보 2728
17.2%
령 2724
17.2%
의 957
 
6.0%
원 682
 
4.3%
외 319
 
2.0%
인 246
 
1.5%
발 234
 
1.5%
김 126
 
0.8%
Other values (128) 2011
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

Distinct783
Distinct (%)22.6%
Missing31
Missing (%)0.9%
Memory size27.4 KiB
2024-04-06T18:02:40.399619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.000289
Min length9

Characters and Unicode

Total characters34591
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

Unique349 ?
Unique (%)10.1%

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
 
4.0%
1997-10-08 60
 
1.7%
2023-11-24 55
 
1.6%
2022-03-28 45
 
1.3%
2016-11-18 37
 
1.1%
2015-10-08 35
 
1.0%
2023-08-18 34
 
1.0%
2015-11-18 34
 
1.0%
2022-11-15 31
 
0.9%
1999-08-02 30
 
0.9%
Other values (773) 2959
85.5%
2024-04-06T18:02:41.161886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7869
22.7%
- 6919
20.0%
1 6187
17.9%
2 5672
16.4%
9 2266
 
6.6%
8 1167
 
3.4%
3 1090
 
3.2%
5 933
 
2.7%
7 861
 
2.5%
4 845
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 27672
80.0%
Dash Punctuation 6919
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7869
28.4%
1 6187
22.4%
2 5672
20.5%
9 2266
 
8.2%
8 1167
 
4.2%
3 1090
 
3.9%
5 933
 
3.4%
7 861
 
3.1%
4 845
 
3.1%
6 782
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 6919
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 34591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7869
22.7%
- 6919
20.0%
1 6187
17.9%
2 5672
16.4%
9 2266
 
6.6%
8 1167
 
3.4%
3 1090
 
3.2%
5 933
 
2.7%
7 861
 
2.5%
4 845
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 34591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7869
22.7%
- 6919
20.0%
1 6187
17.9%
2 5672
16.4%
9 2266
 
6.6%
8 1167
 
3.4%
3 1090
 
3.2%
5 933
 
2.7%
7 861
 
2.5%
4 845
 
2.4%

발의의원
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct18
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
<NA>
3333 
박금순+김홍기+권승현+조성철+백남숙+최주경+박상모+한동인+김충호+문석주+최용식+김정훈
 
96
박상모+백영창+조장현+김충호+성태용+김재관+백성현+최은순+서경옥+이정근+김정훈+추보라
 
35
박상모+김충호+백성현+이정근+백영창+성태용+최은순+김정훈+조장현+김재관+서경옥+추보라
 
7
김홍기+권승현+조성철+백남숙+한동인+문석주+최용식+김정훈
 
3
Other values (13)
 
16

Length

Max length47
Median length4
Mean length5.7968481
Min length3

Unique

Unique10 ?
Unique (%)0.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 3333
95.5%
박금순+김홍기+권승현+조성철+백남숙+최주경+박상모+한동인+김충호+문석주+최용식+김정훈 96
 
2.8%
박상모+백영창+조장현+김충호+성태용+김재관+백성현+최은순+서경옥+이정근+김정훈+추보라 35
 
1.0%
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%
박상모 2
 
0.1%
김홍기+권승현+조성철+최주경+박상모+한동인+문석주+최용식+김정훈 2
 
0.1%
조장현 2
 
0.1%
김홍기+조성철+백남숙+최주경+박상모+김충호+문석주+최용식+김정훈 1
 
< 0.1%
김홍기+권승현+조성철+백남숙+최주경+박상모+김충호+최용식+김정훈 1
 
< 0.1%
Other values (8) 8
 
0.2%

Length

2024-04-06T18:02:41.447286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 3333
95.5%
박금순+김홍기+권승현+조성철+백남숙+최주경+박상모+한동인+김충호+문석주+최용식+김정훈 96
 
2.8%
박상모+백영창+조장현+김충호+성태용+김재관+백성현+최은순+서경옥+이정근+김정훈+추보라 35
 
1.0%
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%
박상모 2
 
0.1%
김홍기+권승현+조성철+최주경+박상모+한동인+문석주+최용식+김정훈 2
 
0.1%
조장현 2
 
0.1%
박금순+김홍기+조성철+백남숙+최주경+박상모+한동인+김충호+문석주+김정훈 1
 
< 0.1%
박상모+김충호+백성현+김정훈 1
 
< 0.1%
Other values (8) 8
 
0.2%

본회의 보고일
Text

MISSING 

Distinct445
Distinct (%)13.2%
Missing131
Missing (%)3.8%
Memory size27.4 KiB
2024-04-06T18:02:41.787440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length10.000298
Min length9

Characters and Unicode

Total characters33591
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

Unique99 ?
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
 
4.1%
1997-10-25 60
 
1.8%
2023-12-04 58
 
1.7%
2022-04-12 45
 
1.3%
2015-12-11 42
 
1.3%
2013-09-12 39
 
1.2%
2016-12-09 36
 
1.1%
2023-08-28 34
 
1.0%
2015-10-26 34
 
1.0%
1999-08-14 33
 
1.0%
Other values (435) 2839
84.5%
2024-04-06T18:02:42.453927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7325
21.8%
- 6719
20.0%
2 6459
19.2%
1 5505
16.4%
9 2190
 
6.5%
3 1181
 
3.5%
5 1061
 
3.2%
6 875
 
2.6%
8 848
 
2.5%
4 818
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26872
80.0%
Dash Punctuation 6719
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7325
27.3%
2 6459
24.0%
1 5505
20.5%
9 2190
 
8.1%
3 1181
 
4.4%
5 1061
 
3.9%
6 875
 
3.3%
8 848
 
3.2%
4 818
 
3.0%
7 610
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 6719
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33591
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7325
21.8%
- 6719
20.0%
2 6459
19.2%
1 5505
16.4%
9 2190
 
6.5%
3 1181
 
3.5%
5 1061
 
3.2%
6 875
 
2.6%
8 848
 
2.5%
4 818
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33591
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7325
21.8%
- 6719
20.0%
2 6459
19.2%
1 5505
16.4%
9 2190
 
6.5%
3 1181
 
3.5%
5 1061
 
3.2%
6 875
 
2.6%
8 848
 
2.5%
4 818
 
2.4%

본회의 상정일
Text

MISSING 

Distinct422
Distinct (%)12.5%
Missing123
Missing (%)3.5%
Memory size27.4 KiB
2024-04-06T18:02:42.909836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters33670
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 (%)2.8%

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
 
4.1%
1997-10-25 60
 
1.8%
2023-12-15 60
 
1.8%
2022-04-12 45
 
1.3%
2015-12-11 42
 
1.2%
2021-12-17 40
 
1.2%
2013-09-12 39
 
1.2%
2016-12-09 36
 
1.1%
2023-09-08 35
 
1.0%
2015-10-26 34
 
1.0%
Other values (412) 2837
84.3%
2024-04-06T18:02:43.604223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7239
21.5%
- 6734
20.0%
2 6529
19.4%
1 5427
16.1%
9 2261
 
6.7%
3 1197
 
3.6%
5 1130
 
3.4%
6 907
 
2.7%
8 812
 
2.4%
4 772
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26936
80.0%
Dash Punctuation 6734
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7239
26.9%
2 6529
24.2%
1 5427
20.1%
9 2261
 
8.4%
3 1197
 
4.4%
5 1130
 
4.2%
6 907
 
3.4%
8 812
 
3.0%
4 772
 
2.9%
7 662
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 6734
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33670
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7239
21.5%
- 6734
20.0%
2 6529
19.4%
1 5427
16.1%
9 2261
 
6.7%
3 1197
 
3.6%
5 1130
 
3.4%
6 907
 
2.7%
8 812
 
2.4%
4 772
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33670
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7239
21.5%
- 6734
20.0%
2 6529
19.4%
1 5427
16.1%
9 2261
 
6.7%
3 1197
 
3.6%
5 1130
 
3.4%
6 907
 
2.7%
8 812
 
2.4%
4 772
 
2.3%

본회의 처리일
Text

MISSING 

Distinct427
Distinct (%)12.7%
Missing124
Missing (%)3.6%
Memory size27.4 KiB
2024-04-06T18:02:44.047861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10
Mean length9.9997029
Min length8

Characters and Unicode

Total characters33659
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

Unique98 ?
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
 
4.1%
1997-10-25 60
 
1.8%
2023-12-15 60
 
1.8%
2022-04-12 45
 
1.3%
2015-12-11 42
 
1.2%
2021-12-17 41
 
1.2%
2013-09-12 39
 
1.2%
2016-12-09 36
 
1.1%
2023-09-08 35
 
1.0%
2015-10-26 34
 
1.0%
Other values (416) 2835
84.2%
2024-04-06T18:02:44.762731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 7246
21.5%
- 6733
20.0%
2 6530
19.4%
1 5422
16.1%
9 2254
 
6.7%
3 1204
 
3.6%
5 1128
 
3.4%
6 906
 
2.7%
8 802
 
2.4%
4 767
 
2.3%
Other values (5) 667
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 26922
80.0%
Dash Punctuation 6733
 
20.0%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 7246
26.9%
2 6530
24.3%
1 5422
20.1%
9 2254
 
8.4%
3 1204
 
4.5%
5 1128
 
4.2%
6 906
 
3.4%
8 802
 
3.0%
4 767
 
2.8%
7 663
 
2.5%
Other Letter
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 6733
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 33655
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 7246
21.5%
- 6733
20.0%
2 6530
19.4%
1 5422
16.1%
9 2254
 
6.7%
3 1204
 
3.6%
5 1128
 
3.4%
6 906
 
2.7%
8 802
 
2.4%
4 767
 
2.3%
Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 33655
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 7246
21.5%
- 6733
20.0%
2 6530
19.4%
1 5422
16.1%
9 2254
 
6.7%
3 1204
 
3.6%
5 1128
 
3.4%
6 906
 
2.7%
8 802
 
2.4%
4 767
 
2.3%
Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

자치단체 이송일
Date

MISSING 

Distinct290
Distinct (%)10.3%
Missing664
Missing (%)19.0%
Memory size27.4 KiB
Minimum1995-01-04 00:00:00
Maximum2024-02-05 00:00:00
2024-04-06T18:02:45.041151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:02:45.297083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일
Date

MISSING 

Distinct217
Distinct (%)13.4%
Missing1867
Missing (%)53.5%
Memory size27.4 KiB
Minimum1995-01-04 00:00:00
Maximum2024-02-13 00:00:00
2024-04-06T18:02:45.524739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:02:45.771450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size27.4 KiB
Minimum2024-03-27 00:00:00
Maximum2024-03-27 00:00:00
2024-04-06T18:02:45.960091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T18:02:46.559137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T18:02:35.313205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T18:02:46.694254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호의안종류발의자 구분발의의원
의안번호1.0000.2650.2320.747
의안종류0.2651.0000.5720.828
발의자 구분0.2320.5721.0000.521
발의의원0.7470.8280.5211.000
2024-04-06T18:02:46.884845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
발의자 구분의안종류발의의원
발의자 구분1.0000.3600.302
의안종류0.3601.0000.546
발의의원0.3020.5461.000
2024-04-06T18:02:47.060198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호의안종류발의자 구분발의의원
의안번호1.0000.1150.0980.501
의안종류0.1151.0000.3600.546
발의자 구분0.0980.3601.0000.302
발의의원0.5010.5460.3021.000

Missing values

2024-04-06T18:02:35.569529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T18:02:35.896062image/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.
2024-04-06T18:02:36.188551image/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 이송일공포일데이터기준일자
01보령시의회회의규칙안규칙안의원의원발의(이준우의원외16인)1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-042024-03-27
12보령시의회청원심사규칙안규칙안의원의원발의(김완복의원외16인)1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-042024-03-27
23보령시의회의원 신분증규칙안규칙안의원양석우 의원외 16인1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-042024-03-27
34보령시의회 위원회 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
45보령시의회 공인 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
56보령시의회사무국의설치 및 사무직원의정수등에 관한 조례안조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
67보령시의회 행정사무감사및조사에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
78보령시의회의원일비및여비지급에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
89보령시의회의원상해등보상금지급에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
910보령시의회에출석, 답변할수있는관계공무원의범위에관한조례(안)조례안시장보령시장1995-01-02<NA>1995-01-031995-01-031995-01-031995-01-041995-01-052024-03-27
의안번호의안명의안종류발의자 구분발의자발의일발의의원본회의 보고일본회의 상정일본회의 처리일자치단체 이송일공포일데이터기준일자
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