Overview

Dataset statistics

Number of variables20
Number of observations3001
Missing cells21452
Missing cells (%)35.7%
Duplicate rows2
Duplicate rows (%)0.1%
Total size in memory469.0 KiB
Average record size in memory160.0 B

Variable types

Categorical2
DateTime6
Text12

Dataset

Description인천광역시 연수구 의회 의안 현황(대수,회기, 의안번호, 의안명, 의안종류, 발의자, 발의일, 발의의원 등) 입니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15037954&srcSe=7661IVAWM27C61E190

Alerts

Dataset has 2 (0.1%) duplicate rowsDuplicates
대수 is highly overall correlated with 소관특별위원회High correlation
소관특별위원회 is highly overall correlated with 대수High correlation
접수일자 has 74 (2.5%) missing valuesMissing
발의(제출)자 has 32 (1.1%) missing valuesMissing
발의(제출일) has 199 (6.6%) missing valuesMissing
본회의보고일 has 1525 (50.8%) missing valuesMissing
회부일(위원회) has 1307 (43.6%) missing valuesMissing
처리일(위원회) has 1138 (37.9%) missing valuesMissing
결과(위원회) has 1089 (36.3%) missing valuesMissing
접수일(본회의) has 2002 (66.7%) missing valuesMissing
보고일(본회의) has 1824 (60.8%) missing valuesMissing
상정일(본회의) has 809 (27.0%) missing valuesMissing
처리일(본회의) has 548 (18.3%) missing valuesMissing
결과(본회의) has 513 (17.1%) missing valuesMissing
자치단체이송일 has 1978 (65.9%) missing valuesMissing
공포일 has 2718 (90.6%) missing valuesMissing
공포번호 has 2723 (90.7%) missing valuesMissing
비고 has 2973 (99.1%) missing valuesMissing

Reproduction

Analysis started2024-03-18 02:59:22.193452
Analysis finished2024-03-18 02:59:23.963798
Duration1.77 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
8 대
702 
6 대
483 
7 대
463 
3 대
435 
5 대
357 
Other values (3)
561 

Length

Max length3
Median length3
Mean length2.9303565
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9대
2nd row9대
3rd row9대
4th row9대
5th row9대

Common Values

ValueCountFrequency (%)
8 대 702
23.4%
6 대 483
16.1%
7 대 463
15.4%
3 대 435
14.5%
5 대 357
11.9%
4 대 322
10.7%
9대 209
 
7.0%
2 대 30
 
1.0%

Length

2024-03-18T11:59:24.013850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T11:59:24.111738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 2792
48.2%
8 702
 
12.1%
6 483
 
8.3%
7 463
 
8.0%
3 435
 
7.5%
5 357
 
6.2%
4 322
 
5.6%
9대 209
 
3.6%
2 30
 
0.5%

접수일자
Date

MISSING 

Distinct959
Distinct (%)32.8%
Missing74
Missing (%)2.5%
Memory size23.6 KiB
Minimum1998-02-04 00:00:00
Maximum2023-06-19 00:00:00
2024-03-18T11:59:24.212898image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:24.332408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

의안번호
Text

Distinct2986
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2024-03-18T11:59:24.676915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4
Mean length3.6347884
Min length1

Characters and Unicode

Total characters10908
Distinct characters14
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2971 ?
Unique (%)99.0%

Sample

1st row3025
2nd row3024
3rd row3023
4th row3022
5th row3021
ValueCountFrequency (%)
1159 2
 
0.1%
1940 2
 
0.1%
1855 2
 
0.1%
449 2
 
0.1%
2295 2
 
0.1%
584 2
 
0.1%
3006 2
 
0.1%
3007 2
 
0.1%
344 2
 
0.1%
437 2
 
0.1%
Other values (2976) 2981
99.3%
2024-03-18T11:59:25.104670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1898
17.4%
1 1880
17.2%
3 925
8.5%
8 899
8.2%
7 898
8.2%
6 895
8.2%
5 891
8.2%
9 891
8.2%
4 889
8.1%
0 833
7.6%
Other values (4) 9
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 10899
99.9%
Other Letter 7
 
0.1%
Other Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1898
17.4%
1 1880
17.2%
3 925
8.5%
8 899
8.2%
7 898
8.2%
6 895
8.2%
5 891
8.2%
9 891
8.2%
4 889
8.2%
0 833
7.6%
Other Letter
ValueCountFrequency (%)
관 3
42.9%
련 3
42.9%
ㅡ 1
 
14.3%
Other Symbol
ValueCountFrequency (%)
─ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10901
99.9%
Hangul 7
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1898
17.4%
1 1880
17.2%
3 925
8.5%
8 899
8.2%
7 898
8.2%
6 895
8.2%
5 891
8.2%
9 891
8.2%
4 889
8.2%
0 833
7.6%
Hangul
ValueCountFrequency (%)
관 3
42.9%
련 3
42.9%
ㅡ 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10899
99.9%
Hangul 6
 
0.1%
Box Drawing 2
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1898
17.4%
1 1880
17.2%
3 925
8.5%
8 899
8.2%
7 898
8.2%
6 895
8.2%
5 891
8.2%
9 891
8.2%
4 889
8.2%
0 833
7.6%
Hangul
ValueCountFrequency (%)
관 3
50.0%
련 3
50.0%
Box Drawing
ValueCountFrequency (%)
─ 2
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
100.0%

의안명
Text

Distinct2160
Distinct (%)72.0%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
2024-03-18T11:59:25.287072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length82
Median length53
Mean length25.397534
Min length4

Characters and Unicode

Total characters76218
Distinct characters474
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1870 ?
Unique (%)62.3%

Sample

1st row예산결산특별위원회 구성 결의안
2nd row2023년도 행정사무감사 실시 시기 및 기간 결정의 건
3rd row휴회의 건
4th row회의록 서명의원 선출의 건
5th row구청장 및 관계공무원 등 출석요구의 건
ValueCountFrequency (%)
일부개정조례안 575
 
4.8%
인천광역시 570
 
4.8%
조례 529
 
4.5%
연수구 526
 
4.4%
및 504
 
4.2%
인천광역시연수구 475
 
4.0%
관한 415
 
3.5%
건 360
 
3.0%
조례안 344
 
2.9%
설치 126
 
1.1%
Other values (2467) 7458
62.8%
2024-03-18T11:59:25.667389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8886
 
11.7%
조 2868
 
3.8%
구 2796
 
3.7%
례 2712
 
3.6%
안 2407
 
3.2%
수 2187
 
2.9%
시 2117
 
2.8%
연 2059
 
2.7%
인 2039
 
2.7%
정 2028
 
2.7%
Other values (464) 46119
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 63987
84.0%
Space Separator 8886
 
11.7%
Decimal Number 2501
 
3.3%
Open Punctuation 266
 
0.3%
Close Punctuation 262
 
0.3%
Other Punctuation 215
 
0.3%
Uppercase Letter 48
 
0.1%
Math Symbol 34
 
< 0.1%
Dash Punctuation 19
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 2868
 
4.5%
구 2796
 
4.4%
례 2712
 
4.2%
안 2407
 
3.8%
수 2187
 
3.4%
시 2117
 
3.3%
연 2059
 
3.2%
인 2039
 
3.2%
정 2028
 
3.2%
의 1928
 
3.0%
Other values (419) 40846
63.8%
Uppercase Letter
ValueCountFrequency (%)
G 11
22.9%
L 8
16.7%
N 8
16.7%
X 3
 
6.2%
T 3
 
6.2%
F 2
 
4.2%
B 2
 
4.2%
Y 2
 
4.2%
A 1
 
2.1%
P 1
 
2.1%
Other values (7) 7
14.6%
Decimal Number
ValueCountFrequency (%)
2 716
28.6%
0 647
25.9%
1 443
17.7%
9 136
 
5.4%
3 114
 
4.6%
4 100
 
4.0%
8 91
 
3.6%
5 91
 
3.6%
7 89
 
3.6%
6 74
 
3.0%
Other Punctuation
ValueCountFrequency (%)
· 89
41.4%
, 76
35.3%
. 44
20.5%
? 3
 
1.4%
' 2
 
0.9%
" 1
 
0.5%
Open Punctuation
ValueCountFrequency (%)
( 258
97.0%
「 6
 
2.3%
【 1
 
0.4%
『 1
 
0.4%
Close Punctuation
ValueCountFrequency (%)
) 254
96.9%
」 7
 
2.7%
】 1
 
0.4%
Math Symbol
ValueCountFrequency (%)
< 12
35.3%
> 12
35.3%
~ 10
29.4%
Space Separator
ValueCountFrequency (%)
8886
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 63987
84.0%
Common 12183
 
16.0%
Latin 48
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 2868
 
4.5%
구 2796
 
4.4%
례 2712
 
4.2%
안 2407
 
3.8%
수 2187
 
3.4%
시 2117
 
3.3%
연 2059
 
3.2%
인 2039
 
3.2%
정 2028
 
3.2%
의 1928
 
3.0%
Other values (419) 40846
63.8%
Common
ValueCountFrequency (%)
8886
72.9%
2 716
 
5.9%
0 647
 
5.3%
1 443
 
3.6%
( 258
 
2.1%
) 254
 
2.1%
9 136
 
1.1%
3 114
 
0.9%
4 100
 
0.8%
8 91
 
0.7%
Other values (18) 538
 
4.4%
Latin
ValueCountFrequency (%)
G 11
22.9%
L 8
16.7%
N 8
16.7%
X 3
 
6.2%
T 3
 
6.2%
F 2
 
4.2%
B 2
 
4.2%
Y 2
 
4.2%
A 1
 
2.1%
P 1
 
2.1%
Other values (7) 7
14.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 63981
83.9%
ASCII 12126
 
15.9%
None 105
 
0.1%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8886
73.3%
2 716
 
5.9%
0 647
 
5.3%
1 443
 
3.7%
( 258
 
2.1%
) 254
 
2.1%
9 136
 
1.1%
3 114
 
0.9%
4 100
 
0.8%
8 91
 
0.8%
Other values (29) 481
 
4.0%
Hangul
ValueCountFrequency (%)
조 2868
 
4.5%
구 2796
 
4.4%
례 2712
 
4.2%
안 2407
 
3.8%
수 2187
 
3.4%
시 2117
 
3.3%
연 2059
 
3.2%
인 2039
 
3.2%
정 2028
 
3.2%
의 1928
 
3.0%
Other values (418) 40840
63.8%
None
ValueCountFrequency (%)
· 89
84.8%
」 7
 
6.7%
「 6
 
5.7%
】 1
 
1.0%
【 1
 
1.0%
『 1
 
1.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

발의(제출)자
Text

MISSING 

Distinct594
Distinct (%)20.0%
Missing32
Missing (%)1.1%
Memory size23.6 KiB
2024-03-18T11:59:25.915132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length5
Mean length6.5176827
Min length2

Characters and Unicode

Total characters19351
Distinct characters165
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

Unique393 ?
Unique (%)13.2%

Sample

1st row운영위원장
2nd row운영위원장
3rd row의장
4th row의장
5th row이형은의원등3명의원
ValueCountFrequency (%)
연수구청장 1508
42.4%
의장 288
 
8.1%
조례정비특별위원회위원장 97
 
2.7%
외 83
 
2.3%
의원 81
 
2.3%
등 49
 
1.4%
3인 34
 
1.0%
1인 26
 
0.7%
진의범 25
 
0.7%
2인 22
 
0.6%
Other values (456) 1345
37.8%
2024-03-18T11:59:26.290422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 2121
 
11.0%
구 1603
 
8.3%
원 1573
 
8.1%
연 1559
 
8.1%
수 1537
 
7.9%
청 1531
 
7.9%
의 1478
 
7.6%
589
 
3.0%
인 562
 
2.9%
외 464
 
2.4%
Other values (155) 6334
32.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17758
91.8%
Decimal Number 820
 
4.2%
Space Separator 589
 
3.0%
Other Punctuation 153
 
0.8%
Close Punctuation 14
 
0.1%
Open Punctuation 14
 
0.1%
Uppercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 2121
11.9%
구 1603
 
9.0%
원 1573
 
8.9%
연 1559
 
8.8%
수 1537
 
8.7%
청 1531
 
8.6%
의 1478
 
8.3%
인 562
 
3.2%
외 464
 
2.6%
위 445
 
2.5%
Other values (136) 4885
27.5%
Decimal Number
ValueCountFrequency (%)
3 163
19.9%
1 133
16.2%
2 122
14.9%
4 95
11.6%
7 68
8.3%
5 67
8.2%
6 67
8.2%
8 45
 
5.5%
9 32
 
3.9%
0 28
 
3.4%
Other Punctuation
ValueCountFrequency (%)
, 147
96.1%
* 5
 
3.3%
. 1
 
0.7%
Uppercase Letter
ValueCountFrequency (%)
L 1
33.3%
N 1
33.3%
G 1
33.3%
Space Separator
ValueCountFrequency (%)
589
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17758
91.8%
Common 1590
 
8.2%
Latin 3
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 2121
11.9%
구 1603
 
9.0%
원 1573
 
8.9%
연 1559
 
8.8%
수 1537
 
8.7%
청 1531
 
8.6%
의 1478
 
8.3%
인 562
 
3.2%
외 464
 
2.6%
위 445
 
2.5%
Other values (136) 4885
27.5%
Common
ValueCountFrequency (%)
589
37.0%
3 163
 
10.3%
, 147
 
9.2%
1 133
 
8.4%
2 122
 
7.7%
4 95
 
6.0%
7 68
 
4.3%
5 67
 
4.2%
6 67
 
4.2%
8 45
 
2.8%
Other values (6) 94
 
5.9%
Latin
ValueCountFrequency (%)
L 1
33.3%
N 1
33.3%
G 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17758
91.8%
ASCII 1593
 
8.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 2121
11.9%
구 1603
 
9.0%
원 1573
 
8.9%
연 1559
 
8.8%
수 1537
 
8.7%
청 1531
 
8.6%
의 1478
 
8.3%
인 562
 
3.2%
외 464
 
2.6%
위 445
 
2.5%
Other values (136) 4885
27.5%
ASCII
ValueCountFrequency (%)
589
37.0%
3 163
 
10.2%
, 147
 
9.2%
1 133
 
8.3%
2 122
 
7.7%
4 95
 
6.0%
7 68
 
4.3%
5 67
 
4.2%
6 67
 
4.2%
8 45
 
2.8%
Other values (9) 97
 
6.1%

발의(제출일)
Text

MISSING 

Distinct925
Distinct (%)33.0%
Missing199
Missing (%)6.6%
Memory size23.6 KiB
2024-03-18T11:59:26.510387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9971449
Min length6

Characters and Unicode

Total characters28012
Distinct characters14
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique452 ?
Unique (%)16.1%

Sample

1st row2023-06-19
2nd row2023-06-19
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07
ValueCountFrequency (%)
2019-12-04 96
 
3.4%
2022-11-10 28
 
1.0%
2019-11-15 27
 
1.0%
2018-11-12 27
 
1.0%
2016-11-11 22
 
0.8%
2022-09-02 21
 
0.7%
2021-11-10 20
 
0.7%
2016-10-07 20
 
0.7%
2020-08-21 20
 
0.7%
2020-11-13 19
 
0.7%
Other values (915) 2502
89.3%
2024-03-18T11:59:26.854160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 6924
24.7%
- 5602
20.0%
2 5027
17.9%
1 5026
17.9%
9 1225
 
4.4%
3 793
 
2.8%
8 732
 
2.6%
5 692
 
2.5%
6 692
 
2.5%
4 687
 
2.5%
Other values (4) 612
 
2.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 22404
80.0%
Dash Punctuation 5602
 
20.0%
Lowercase Letter 4
 
< 0.1%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 6924
30.9%
2 5027
22.4%
1 5026
22.4%
9 1225
 
5.5%
3 793
 
3.5%
8 732
 
3.3%
5 692
 
3.1%
6 692
 
3.1%
4 687
 
3.1%
7 606
 
2.7%
Lowercase Letter
ValueCountFrequency (%)
a 2
50.0%
r 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 5602
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28006
> 99.9%
Latin 6
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 6924
24.7%
- 5602
20.0%
2 5027
17.9%
1 5026
17.9%
9 1225
 
4.4%
3 793
 
2.8%
8 732
 
2.6%
5 692
 
2.5%
6 692
 
2.5%
4 687
 
2.5%
Latin
ValueCountFrequency (%)
M 2
33.3%
a 2
33.3%
r 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28012
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 6924
24.7%
- 5602
20.0%
2 5027
17.9%
1 5026
17.9%
9 1225
 
4.4%
3 793
 
2.8%
8 732
 
2.6%
5 692
 
2.5%
6 692
 
2.5%
4 687
 
2.5%
Other values (4) 612
 
2.2%

본회의보고일
Date

MISSING 

Distinct320
Distinct (%)21.7%
Missing1525
Missing (%)50.8%
Memory size23.6 KiB
Minimum1998-02-16 00:00:00
Maximum2020-11-13 00:00:00
2024-03-18T11:59:26.990604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:27.128684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관특별위원회
Categorical

HIGH CORRELATION 

Distinct35
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size23.6 KiB
·
902 
본회의
519 
자치도시위원회
500 
기획복지위원회
301 
기획주민위원회
151 
Other values (30)
628 

Length

Max length36
Median length32
Mean length4.6434522
Min length1

Unique

Unique7 ?
Unique (%)0.2%

Sample

1st row운영
2nd row운영
3rd row본회의
4th row본회의
5th row본회의

Common Values

ValueCountFrequency (%)
· 902
30.1%
본회의 519
17.3%
자치도시위원회 500
16.7%
기획복지위원회 301
 
10.0%
기획주민위원회 151
 
5.0%
운영위원회 122
 
4.1%
조례정비특별위원회 98
 
3.3%
예산결산특별위원회 76
 
2.5%
기획 62
 
2.1%
기획주민위원회와연석 60
 
2.0%
Other values (25) 210
 
7.0%

Length

2024-03-18T11:59:27.250045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
· 902
29.6%
본회의 519
17.0%
자치도시위원회 500
16.4%
기획복지위원회 301
 
9.9%
기획주민위원회 151
 
5.0%
운영위원회 122
 
4.0%
조례정비특별위원회 98
 
3.2%
예산결산특별위원회 76
 
2.5%
기획 62
 
2.0%
기획주민위원회와연석 60
 
2.0%
Other values (41) 255
 
8.4%

회부일(위원회)
Text

MISSING 

Distinct420
Distinct (%)24.8%
Missing1307
Missing (%)43.6%
Memory size23.6 KiB
2024-03-18T11:59:27.553431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length5
Mean length6.0289256
Min length2

Characters and Unicode

Total characters10213
Distinct characters18
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

Unique179 ?
Unique (%)10.6%

Sample

1st row2023-05-26
2nd row2023-05-26
3rd row2023-05-26
4th row2023-05-26
5th row2023-05-26
ValueCountFrequency (%)
2022-11-11 29
 
1.7%
43416 24
 
1.4%
2022-09-02 20
 
1.2%
42695 20
 
1.2%
42185 20
 
1.2%
2021-11-11 20
 
1.2%
2021-10-01 19
 
1.1%
2020-11-13 19
 
1.1%
43696 19
 
1.1%
42320 18
 
1.1%
Other values (410) 1486
87.7%
2024-03-18T11:59:28.049174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1560
15.3%
0 1377
13.5%
3 1278
12.5%
4 1268
12.4%
1 1111
10.9%
6 699
6.8%
- 698
6.8%
9 619
 
6.1%
8 579
 
5.7%
5 552
 
5.4%
Other values (8) 472
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9501
93.0%
Dash Punctuation 698
 
6.8%
Other Letter 14
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1560
16.4%
0 1377
14.5%
3 1278
13.5%
4 1268
13.3%
1 1111
11.7%
6 699
7.4%
9 619
 
6.5%
8 579
 
6.1%
5 552
 
5.8%
7 458
 
4.8%
Other Letter
ValueCountFrequency (%)
자 2
14.3%
치 2
14.3%
도 2
14.3%
시 2
14.3%
위 2
14.3%
원 2
14.3%
회 2
14.3%
Dash Punctuation
ValueCountFrequency (%)
- 698
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10199
99.9%
Hangul 14
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1560
15.3%
0 1377
13.5%
3 1278
12.5%
4 1268
12.4%
1 1111
10.9%
6 699
6.9%
- 698
6.8%
9 619
 
6.1%
8 579
 
5.7%
5 552
 
5.4%
Hangul
ValueCountFrequency (%)
자 2
14.3%
치 2
14.3%
도 2
14.3%
시 2
14.3%
위 2
14.3%
원 2
14.3%
회 2
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10199
99.9%
Hangul 14
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1560
15.3%
0 1377
13.5%
3 1278
12.5%
4 1268
12.4%
1 1111
10.9%
6 699
6.9%
- 698
6.8%
9 619
 
6.1%
8 579
 
5.7%
5 552
 
5.4%
Hangul
ValueCountFrequency (%)
자 2
14.3%
치 2
14.3%
도 2
14.3%
시 2
14.3%
위 2
14.3%
원 2
14.3%
회 2
14.3%

처리일(위원회)
Date

MISSING 

Distinct394
Distinct (%)21.1%
Missing1138
Missing (%)37.9%
Memory size23.6 KiB
Minimum1998-02-16 00:00:00
Maximum2023-06-19 00:00:00
2024-03-18T11:59:28.180080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:28.307626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

결과(위원회)
Text

MISSING 

Distinct68
Distinct (%)3.6%
Missing1089
Missing (%)36.3%
Memory size23.6 KiB
2024-03-18T11:59:28.504559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length4
Mean length3.3237448
Min length1

Characters and Unicode

Total characters6355
Distinct characters80
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

Unique36 ?
Unique (%)1.9%

Sample

1st row채택
2nd row원안
3rd row원안
4th row원안
5th row보고
ValueCountFrequency (%)
원안가결 711
36.9%
원안 482
25.0%
수정가결 300
15.6%
부결 113
 
5.9%
수정 103
 
5.3%
수정의결 30
 
1.6%
보류 20
 
1.0%
보고 19
 
1.0%
채택 19
 
1.0%
원안의결 12
 
0.6%
Other values (63) 117
 
6.1%
2024-03-18T11:59:28.836327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1224
19.3%
안 1223
19.2%
결 1208
19.0%
가 1040
16.4%
정 437
 
6.9%
수 436
 
6.9%
부 139
 
2.2%
의 86
 
1.4%
보 52
 
0.8%
류 32
 
0.5%
Other values (70) 478
 
7.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6205
97.6%
Decimal Number 77
 
1.2%
Other Punctuation 24
 
0.4%
Open Punctuation 15
 
0.2%
Close Punctuation 15
 
0.2%
Space Separator 14
 
0.2%
Dash Punctuation 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1224
19.7%
안 1223
19.7%
결 1208
19.5%
가 1040
16.8%
정 437
 
7.0%
수 436
 
7.0%
부 139
 
2.2%
의 86
 
1.4%
보 52
 
0.8%
류 32
 
0.5%
Other values (54) 328
 
5.3%
Decimal Number
ValueCountFrequency (%)
0 24
31.2%
1 19
24.7%
2 18
23.4%
5 4
 
5.2%
4 3
 
3.9%
6 3
 
3.9%
9 3
 
3.9%
3 2
 
2.6%
7 1
 
1.3%
Other Punctuation
ValueCountFrequency (%)
. 17
70.8%
/ 6
 
25.0%
, 1
 
4.2%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6205
97.6%
Common 150
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1224
19.7%
안 1223
19.7%
결 1208
19.5%
가 1040
16.8%
정 437
 
7.0%
수 436
 
7.0%
부 139
 
2.2%
의 86
 
1.4%
보 52
 
0.8%
류 32
 
0.5%
Other values (54) 328
 
5.3%
Common
ValueCountFrequency (%)
0 24
16.0%
1 19
12.7%
2 18
12.0%
. 17
11.3%
( 15
10.0%
) 15
10.0%
14
9.3%
/ 6
 
4.0%
- 5
 
3.3%
5 4
 
2.7%
Other values (6) 13
8.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6205
97.6%
ASCII 150
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1224
19.7%
안 1223
19.7%
결 1208
19.5%
가 1040
16.8%
정 437
 
7.0%
수 436
 
7.0%
부 139
 
2.2%
의 86
 
1.4%
보 52
 
0.8%
류 32
 
0.5%
Other values (54) 328
 
5.3%
ASCII
ValueCountFrequency (%)
0 24
16.0%
1 19
12.7%
2 18
12.0%
. 17
11.3%
( 15
10.0%
) 15
10.0%
14
9.3%
/ 6
 
4.0%
- 5
 
3.3%
5 4
 
2.7%
Other values (6) 13
8.7%

접수일(본회의)
Text

MISSING 

Distinct252
Distinct (%)25.2%
Missing2002
Missing (%)66.7%
Memory size23.6 KiB
2024-03-18T11:59:29.137175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.983984
Min length2

Characters and Unicode

Total characters9974
Distinct characters13
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

Unique94 ?
Unique (%)9.4%

Sample

1st row원안
2nd row원안
3rd row2019-10-23
4th row2019-10-15
5th row2019-10-15
ValueCountFrequency (%)
2015-10-28 21
 
2.1%
2006-11-27 20
 
2.0%
2015-11-24 17
 
1.7%
2015-07-15 17
 
1.7%
2010-03-25 16
 
1.6%
2006-06-12 15
 
1.5%
2014-07-07 14
 
1.4%
2012-02-13 14
 
1.4%
2007-03-07 13
 
1.3%
2007-11-26 13
 
1.3%
Other values (242) 839
84.0%
2024-03-18T11:59:29.567356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2605
26.1%
- 1994
20.0%
1 1722
17.3%
2 1674
16.8%
5 360
 
3.6%
7 353
 
3.5%
9 318
 
3.2%
3 273
 
2.7%
6 255
 
2.6%
8 209
 
2.1%
Other values (3) 211
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7976
80.0%
Dash Punctuation 1994
 
20.0%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2605
32.7%
1 1722
21.6%
2 1674
21.0%
5 360
 
4.5%
7 353
 
4.4%
9 318
 
4.0%
3 273
 
3.4%
6 255
 
3.2%
8 209
 
2.6%
4 207
 
2.6%
Other Letter
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1994
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9970
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2605
26.1%
- 1994
20.0%
1 1722
17.3%
2 1674
16.8%
5 360
 
3.6%
7 353
 
3.5%
9 318
 
3.2%
3 273
 
2.7%
6 255
 
2.6%
8 209
 
2.1%
Hangul
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9970
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2605
26.1%
- 1994
20.0%
1 1722
17.3%
2 1674
16.8%
5 360
 
3.6%
7 353
 
3.5%
9 318
 
3.2%
3 273
 
2.7%
6 255
 
2.6%
8 209
 
2.1%
Hangul
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%

보고일(본회의)
Date

MISSING 

Distinct247
Distinct (%)21.0%
Missing1824
Missing (%)60.8%
Memory size23.6 KiB
Minimum1998-04-24 00:00:00
Maximum2019-10-24 00:00:00
2024-03-18T11:59:29.744252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:29.892511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상정일(본회의)
Date

MISSING 

Distinct371
Distinct (%)16.9%
Missing809
Missing (%)27.0%
Memory size23.6 KiB
Minimum1998-02-16 00:00:00
Maximum2023-06-19 00:00:00
2024-03-18T11:59:30.065665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:30.256350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

처리일(본회의)
Text

MISSING 

Distinct402
Distinct (%)16.4%
Missing548
Missing (%)18.3%
Memory size23.6 KiB
2024-03-18T11:59:30.515425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.997554
Min length4

Characters and Unicode

Total characters24524
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

Unique69 ?
Unique (%)2.8%

Sample

1st row2023-06-07
2nd row2023-06-07
3rd row2023-06-07
4th row2023-06-07
5th row2023-06-07
ValueCountFrequency (%)
2019-12-09 119
 
4.9%
2021-12-03 37
 
1.5%
2018-11-30 29
 
1.2%
2016-10-26 25
 
1.0%
2023-05-04 24
 
1.0%
2022-12-05 24
 
1.0%
2019-08-28 23
 
0.9%
2022-09-20 22
 
0.9%
2021-10-21 21
 
0.9%
2020-09-11 21
 
0.9%
Other values (392) 2108
85.9%
2024-03-18T11:59:30.883251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 5867
23.9%
- 4904
20.0%
2 4873
19.9%
1 3995
16.3%
9 1323
 
5.4%
3 723
 
2.9%
6 641
 
2.6%
8 584
 
2.4%
7 566
 
2.3%
5 565
 
2.3%
Other values (5) 483
 
2.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 19616
80.0%
Dash Punctuation 4904
 
20.0%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 5867
29.9%
2 4873
24.8%
1 3995
20.4%
9 1323
 
6.7%
3 723
 
3.7%
6 641
 
3.3%
8 584
 
3.0%
7 566
 
2.9%
5 565
 
2.9%
4 479
 
2.4%
Other Letter
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 4904
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 24520
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 5867
23.9%
- 4904
20.0%
2 4873
19.9%
1 3995
16.3%
9 1323
 
5.4%
3 723
 
2.9%
6 641
 
2.6%
8 584
 
2.4%
7 566
 
2.3%
5 565
 
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 24520
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 5867
23.9%
- 4904
20.0%
2 4873
19.9%
1 3995
16.3%
9 1323
 
5.4%
3 723
 
2.9%
6 641
 
2.6%
8 584
 
2.4%
7 566
 
2.3%
5 565
 
2.3%
Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

결과(본회의)
Text

MISSING 

Distinct136
Distinct (%)5.5%
Missing513
Missing (%)17.1%
Memory size23.6 KiB
2024-03-18T11:59:31.126482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length4
Mean length3.8677653
Min length2

Characters and Unicode

Total characters9623
Distinct characters121
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

Unique108 ?
Unique (%)4.3%

Sample

1st row원안
2nd row원안
3rd row원안
4th row원안
5th row보고
ValueCountFrequency (%)
원안가결 1068
42.7%
원안 667
26.6%
수정가결 292
 
11.7%
수정 110
 
4.4%
가결 57
 
2.3%
부결 35
 
1.4%
채택 34
 
1.4%
수정의결 25
 
1.0%
승인 19
 
0.8%
원안의결 15
 
0.6%
Other values (136) 182
 
7.3%
2024-03-18T11:59:31.457448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 1828
19.0%
안 1789
18.6%
결 1527
15.9%
가 1444
15.0%
정 452
 
4.7%
수 437
 
4.5%
. 191
 
2.0%
0 188
 
2.0%
9 184
 
1.9%
1 164
 
1.7%
Other values (111) 1419
14.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8330
86.6%
Decimal Number 850
 
8.8%
Other Punctuation 232
 
2.4%
Close Punctuation 75
 
0.8%
Open Punctuation 74
 
0.8%
Dash Punctuation 46
 
0.5%
Space Separator 16
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1828
21.9%
안 1789
21.5%
결 1527
18.3%
가 1444
17.3%
정 452
 
5.4%
수 437
 
5.2%
의 95
 
1.1%
택 59
 
0.7%
채 56
 
0.7%
인 42
 
0.5%
Other values (94) 601
 
7.2%
Decimal Number
ValueCountFrequency (%)
0 188
22.1%
9 184
21.6%
1 164
19.3%
2 122
14.4%
8 52
 
6.1%
5 30
 
3.5%
7 30
 
3.5%
3 29
 
3.4%
6 26
 
3.1%
4 25
 
2.9%
Other Punctuation
ValueCountFrequency (%)
. 191
82.3%
, 34
 
14.7%
: 7
 
3.0%
Close Punctuation
ValueCountFrequency (%)
) 75
100.0%
Open Punctuation
ValueCountFrequency (%)
( 74
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 46
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8330
86.6%
Common 1293
 
13.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1828
21.9%
안 1789
21.5%
결 1527
18.3%
가 1444
17.3%
정 452
 
5.4%
수 437
 
5.2%
의 95
 
1.1%
택 59
 
0.7%
채 56
 
0.7%
인 42
 
0.5%
Other values (94) 601
 
7.2%
Common
ValueCountFrequency (%)
. 191
14.8%
0 188
14.5%
9 184
14.2%
1 164
12.7%
2 122
9.4%
) 75
 
5.8%
( 74
 
5.7%
8 52
 
4.0%
- 46
 
3.6%
, 34
 
2.6%
Other values (7) 163
12.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8330
86.6%
ASCII 1293
 
13.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 1828
21.9%
안 1789
21.5%
결 1527
18.3%
가 1444
17.3%
정 452
 
5.4%
수 437
 
5.2%
의 95
 
1.1%
택 59
 
0.7%
채 56
 
0.7%
인 42
 
0.5%
Other values (94) 601
 
7.2%
ASCII
ValueCountFrequency (%)
. 191
14.8%
0 188
14.5%
9 184
14.2%
1 164
12.7%
2 122
9.4%
) 75
 
5.8%
( 74
 
5.7%
8 52
 
4.0%
- 46
 
3.6%
, 34
 
2.6%
Other values (7) 163
12.6%

자치단체이송일
Text

MISSING 

Distinct170
Distinct (%)16.6%
Missing1978
Missing (%)65.9%
Memory size23.6 KiB
2024-03-18T11:59:31.717390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9843597
Min length2

Characters and Unicode

Total characters10214
Distinct characters13
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

Unique35 ?
Unique (%)3.4%

Sample

1st row원안
2nd row원안
3rd row2019-10-25
4th row2019-10-25
5th row2019-10-25
ValueCountFrequency (%)
2018-12-04 25
 
2.4%
2015-11-02 21
 
2.1%
2019-08-29 21
 
2.1%
2017-12-05 19
 
1.9%
2015-12-09 19
 
1.9%
2019-06-19 17
 
1.7%
2017-10-20 16
 
1.6%
2012-11-06 15
 
1.5%
2006-12-13 15
 
1.5%
1998-09-24 15
 
1.5%
Other values (160) 840
82.1%
2024-03-18T11:59:32.109761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2378
23.3%
- 2042
20.0%
1 1840
18.0%
2 1772
17.3%
9 574
 
5.6%
5 350
 
3.4%
8 286
 
2.8%
7 271
 
2.7%
3 263
 
2.6%
6 242
 
2.4%
Other values (3) 196
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8168
80.0%
Dash Punctuation 2042
 
20.0%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2378
29.1%
1 1840
22.5%
2 1772
21.7%
9 574
 
7.0%
5 350
 
4.3%
8 286
 
3.5%
7 271
 
3.3%
3 263
 
3.2%
6 242
 
3.0%
4 192
 
2.4%
Other Letter
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 2042
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 10210
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2378
23.3%
- 2042
20.0%
1 1840
18.0%
2 1772
17.4%
9 574
 
5.6%
5 350
 
3.4%
8 286
 
2.8%
7 271
 
2.7%
3 263
 
2.6%
6 242
 
2.4%
Hangul
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 10210
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2378
23.3%
- 2042
20.0%
1 1840
18.0%
2 1772
17.4%
9 574
 
5.6%
5 350
 
3.4%
8 286
 
2.8%
7 271
 
2.7%
3 263
 
2.6%
6 242
 
2.4%
Hangul
ValueCountFrequency (%)
원 2
50.0%
안 2
50.0%

공포일
Date

MISSING 

Distinct62
Distinct (%)21.9%
Missing2718
Missing (%)90.6%
Memory size23.6 KiB
Minimum1998-12-31 00:00:00
Maximum2015-11-02 00:00:00
2024-03-18T11:59:32.553240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-18T11:59:32.670308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포번호
Text

MISSING 

Distinct273
Distinct (%)98.2%
Missing2723
Missing (%)90.7%
Memory size23.6 KiB
2024-03-18T11:59:32.969999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.4460432
Min length2

Characters and Unicode

Total characters958
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique268 ?
Unique (%)96.4%

Sample

1st row862
2nd row863
3rd row861
4th row860
5th row859
ValueCountFrequency (%)
555호 2
 
0.7%
578호 2
 
0.7%
283 2
 
0.7%
289 2
 
0.7%
529호 2
 
0.7%
516 1
 
0.4%
521 1
 
0.4%
519 1
 
0.4%
518 1
 
0.4%
517 1
 
0.4%
Other values (263) 263
94.6%
2024-03-18T11:59:33.401278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 148
15.4%
6 134
14.0%
2 122
12.7%
호 105
11.0%
3 96
10.0%
8 85
8.9%
1 54
 
5.6%
4 52
 
5.4%
7 50
 
5.2%
9 48
 
5.0%
Other values (2) 64
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 830
86.6%
Other Letter 128
 
13.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 148
17.8%
6 134
16.1%
2 122
14.7%
3 96
11.6%
8 85
10.2%
1 54
 
6.5%
4 52
 
6.3%
7 50
 
6.0%
9 48
 
5.8%
0 41
 
4.9%
Other Letter
ValueCountFrequency (%)
호 105
82.0%
제 23
 
18.0%

Most occurring scripts

ValueCountFrequency (%)
Common 830
86.6%
Hangul 128
 
13.4%

Most frequent character per script

Common
ValueCountFrequency (%)
5 148
17.8%
6 134
16.1%
2 122
14.7%
3 96
11.6%
8 85
10.2%
1 54
 
6.5%
4 52
 
6.3%
7 50
 
6.0%
9 48
 
5.8%
0 41
 
4.9%
Hangul
ValueCountFrequency (%)
호 105
82.0%
제 23
 
18.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 830
86.6%
Hangul 128
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 148
17.8%
6 134
16.1%
2 122
14.7%
3 96
11.6%
8 85
10.2%
1 54
 
6.5%
4 52
 
6.3%
7 50
 
6.0%
9 48
 
5.8%
0 41
 
4.9%
Hangul
ValueCountFrequency (%)
호 105
82.0%
제 23
 
18.0%

비고
Text

MISSING 

Distinct22
Distinct (%)78.6%
Missing2973
Missing (%)99.1%
Memory size23.6 KiB
2024-03-18T11:59:33.573246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length23
Mean length15.392857
Min length3

Characters and Unicode

Total characters431
Distinct characters95
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

Unique19 ?
Unique (%)67.9%

Sample

1st row2020-06-04(철회요구)
2nd row구본청에서 처리해야할 사항으로 이송처리
3rd row최숙경의원 부의요구
4th row최숙경의원 부의요구
5th row김정태의원 부의요구
ValueCountFrequency (%)
2010-06-30 5
 
8.5%
폐기 5
 
8.5%
임기만료 5
 
8.5%
부의요구 4
 
6.8%
최숙경의원 2
 
3.4%
김정태의원 2
 
3.4%
위원회폐기 2
 
3.4%
2007-06-27철회 1
 
1.7%
연수구청 1
 
1.7%
인천시청 1
 
1.7%
Other values (31) 31
52.5%
2024-03-18T11:59:33.870633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 52
 
12.1%
- 33
 
7.7%
31
 
7.2%
2 23
 
5.3%
1 18
 
4.2%
의 14
 
3.2%
회 13
 
3.0%
3 12
 
2.8%
기 12
 
2.8%
7 10
 
2.3%
Other values (85) 213
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 211
49.0%
Decimal Number 141
32.7%
Dash Punctuation 33
 
7.7%
Space Separator 31
 
7.2%
Other Punctuation 7
 
1.6%
Close Punctuation 4
 
0.9%
Open Punctuation 4
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 14
 
6.6%
회 13
 
6.2%
기 12
 
5.7%
구 10
 
4.7%
원 10
 
4.7%
청 7
 
3.3%
폐 7
 
3.3%
임 6
 
2.8%
부 5
 
2.4%
요 5
 
2.4%
Other values (69) 122
57.8%
Decimal Number
ValueCountFrequency (%)
0 52
36.9%
2 23
16.3%
1 18
 
12.8%
3 12
 
8.5%
7 10
 
7.1%
6 7
 
5.0%
4 6
 
4.3%
9 6
 
4.3%
5 4
 
2.8%
8 3
 
2.1%
Other Punctuation
ValueCountFrequency (%)
" 4
57.1%
, 3
42.9%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 220
51.0%
Hangul 211
49.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 14
 
6.6%
회 13
 
6.2%
기 12
 
5.7%
구 10
 
4.7%
원 10
 
4.7%
청 7
 
3.3%
폐 7
 
3.3%
임 6
 
2.8%
부 5
 
2.4%
요 5
 
2.4%
Other values (69) 122
57.8%
Common
ValueCountFrequency (%)
0 52
23.6%
- 33
15.0%
31
14.1%
2 23
10.5%
1 18
 
8.2%
3 12
 
5.5%
7 10
 
4.5%
6 7
 
3.2%
4 6
 
2.7%
9 6
 
2.7%
Other values (6) 22
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 220
51.0%
Hangul 211
49.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 52
23.6%
- 33
15.0%
31
14.1%
2 23
10.5%
1 18
 
8.2%
3 12
 
5.5%
7 10
 
4.5%
6 7
 
3.2%
4 6
 
2.7%
9 6
 
2.7%
Other values (6) 22
10.0%
Hangul
ValueCountFrequency (%)
의 14
 
6.6%
회 13
 
6.2%
기 12
 
5.7%
구 10
 
4.7%
원 10
 
4.7%
청 7
 
3.3%
폐 7
 
3.3%
임 6
 
2.8%
부 5
 
2.4%
요 5
 
2.4%
Other values (69) 122
57.8%

Correlations

2024-03-18T11:59:33.947458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수소관특별위원회결과(위원회)공포일비고
대수1.0000.8550.6571.0001.000
소관특별위원회0.8551.0000.8270.9661.000
결과(위원회)0.6570.8271.0000.8141.000
공포일1.0000.9660.8141.000NaN
비고1.0001.0001.000NaN1.000
2024-03-18T11:59:34.024379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수소관특별위원회
대수1.0000.544
소관특별위원회0.5441.000
2024-03-18T11:59:34.085698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수소관특별위원회
대수1.0000.544
소관특별위원회0.5441.000

Missing values

2024-03-18T11:59:23.163877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T11:59:23.386338image/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.
2024-03-18T11:59:23.805666image/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

대수접수일자의안번호의안명발의(제출)자발의(제출일)본회의보고일소관특별위원회회부일(위원회)처리일(위원회)결과(위원회)접수일(본회의)보고일(본회의)상정일(본회의)처리일(본회의)결과(본회의)자치단체이송일공포일공포번호비고
09대2023-06-193025예산결산특별위원회 구성 결의안운영위원장2023-06-19<NA>운영<NA>2023-06-19채택<NA><NA><NA><NA><NA><NA><NA><NA><NA>
19대2023-06-1930242023년도 행정사무감사 실시 시기 및 기간 결정의 건운영위원장2023-06-19<NA>운영<NA>2023-06-19원안<NA><NA><NA><NA><NA><NA><NA><NA><NA>
29대2023-06-073023휴회의 건의장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07원안<NA><NA><NA><NA>
39대2023-06-073022회의록 서명의원 선출의 건의장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07원안<NA><NA><NA><NA>
49대2023-06-073021구청장 및 관계공무원 등 출석요구의 건이형은의원등3명의원2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07원안<NA><NA><NA><NA>
59대2023-06-073020예산결산특별위원회 위원 선임의 건의장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07원안<NA><NA><NA><NA>
69대2023-06-0730192022회계연도 결산검사 결과보고의 건의장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07보고<NA><NA><NA><NA>
79대2023-06-0730182022회계연도 결산 승인에 대한 제안설명의 건연수구청장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07처리<NA><NA><NA><NA>
89대2023-06-073017제256회 인천광역시연수구의회 정례회 회기결정의 건의장2023-06-07<NA>본회의<NA><NA><NA><NA><NA>2023-06-072023-06-07원안<NA><NA><NA><NA>
99대2023-05-3130162022회계연도 기금결산 승인의 건연수구청장2023-05-31<NA>예결위<NA>2023-06-16원안<NA><NA>2023-06-192023-06-19원안<NA><NA><NA><NA>
대수접수일자의안번호의안명발의(제출)자발의(제출일)본회의보고일소관특별위원회회부일(위원회)처리일(위원회)결과(위원회)접수일(본회의)보고일(본회의)상정일(본회의)처리일(본회의)결과(본회의)자치단체이송일공포일공포번호비고
29912 대1998-04-2010인천광역시연수구사무위임조례중개정조례안연수구청장1998-04-181998-04-24·359081998-05-01원안가결<NA>1998-04-241998-05-041998-05-04원안가결1998-05-09<NA><NA><NA>
29922 대1998-02-069휴회의건의장<NA><NA>·<NA><NA><NA><NA><NA>1998-02-161998-02-161998.02.17-1998.02.20(4일간)<NA><NA><NA><NA>
29932 대1998-02-068제24회인천광역시연수구의회(임시회)회기결정의건의장1998-02-061998-02-16·<NA><NA><NA><NA><NA>1998-02-161998-02-161998.08.16-1998.02.21(6일간)<NA><NA><NA><NA>
29942 대1998-02-067인천광역시연수구청소년수련관설치및운영에관한조례안연수구청장1998-02-061998-02-16·358361998-02-20수정의결<NA><NA>1998-02-211998-02-21수정의결1998-02-23<NA><NA><NA>
29952 대1998-02-066인천광역시연수구행정정보공개조례폐지조례안연수구청장1998-02-061998-02-16·358361998-02-16원안가결<NA><NA>1998-02-211998-02-21원안가결1998-02-23<NA><NA><NA>
29962 대1998-02-065인천광역시연수구청및동사무소소재지에관한조례중개정조례안연수구청장1998-02-061998-02-16·358361998-02-20원안가결<NA><NA>1998-02-211998-02-21원안가결1998-02-23<NA><NA><NA>
29972 대1998-02-064인천광역시연수구 지방공무원정원조례중개정조례안연수구청장1998-02-061998-02-16·358361998-02-20원안가결<NA><NA>1998-02-211998-02-21원안가결1998-02-23<NA><NA><NA>
29982 대1998-02-063인천광역시연수구 행정기구설치조례중 개정조례안연수구청장1998-02-061998-02-16·358361998-02-20원안가결<NA><NA>1998-02-211998-02-21원안가결1998-02-23<NA><NA><NA>
29992 대1998-02-062인천광역시연수구 그린 토피아연수 21추진의원회조례안연수구청장1998-02-061998-02-16·358361998-02-20수정의결<NA><NA>1998-02-211998-02-21수정의결1998-02-23<NA><NA><NA>
30002 대1998-02-041인천광역시 연수구 동춘동 해안수면매립지 활용계획에 관한 건의안안병길의원외 6인1998-02-041998-02-16·<NA><NA><NA><NA><NA>1998-02-211998-02-21원안가결1998-02-23<NA><NA><NA>

Duplicate rows

Most frequently occurring

대수접수일자의안번호의안명발의(제출)자발의(제출일)본회의보고일소관특별위원회회부일(위원회)처리일(위원회)결과(위원회)접수일(본회의)보고일(본회의)상정일(본회의)처리일(본회의)결과(본회의)자치단체이송일공포일공포번호비고# duplicates
07 대2016-11-111940장기미집행 도시계획시설 현황 및 단계별 집행계획에 대한 보고안연수구청장2016-11-112016-11-11자치도시위원회426952016-11-21추후 검토 후 해제권고안 제출<NA><NA><NA><NA><NA><NA><NA><NA><NA>2
17 대2017-09-282040인천광역시연수구 건강가정지원 조례 일부개정조례안연수구청장2017-09-282017-10-13기획복지위원회430062017-10-13원안가결<NA><NA>2017-10-202017-10-20원안가결2017-10-20<NA><NA><NA>2