Overview

Dataset statistics

Number of variables19
Number of observations716
Missing cells3093
Missing cells (%)22.7%
Duplicate rows2
Duplicate rows (%)0.3%
Total size in memory107.8 KiB
Average record size in memory154.2 B

Variable types

Categorical5
Numeric2
Text3
DateTime9

Dataset

Description지방의회 의안정보(의안번호, 발의자, 결과 등)부산광역시 기장군 지방의회 의안정보에 대한 데이터로 의안번호, 발의자, 결과 등의 항목을 제공합니다.
Author부산광역시 기장군
URLhttps://www.data.go.kr/data/15038005/fileData.do

Alerts

Dataset has 2 (0.3%) duplicate rowsDuplicates
의안번호 is highly overall correlated with 공포번호 and 2 other fieldsHigh correlation
공포번호 is highly overall correlated with 의안번호 and 3 other fieldsHigh correlation
대수 is highly overall correlated with 의안번호 and 2 other fieldsHigh correlation
소관위원회 is highly overall correlated with 의안번호 and 3 other fieldsHigh correlation
위원회처리 결과 is highly overall correlated with 공포번호 and 2 other fieldsHigh correlation
본회의의결 결과 is highly overall correlated with 위원회처리 결과High correlation
의안종류 is highly overall correlated with 공포번호 and 1 other fieldsHigh correlation
위원회처리 결과 is highly imbalanced (55.9%)Imbalance
본회의의결 결과 is highly imbalanced (62.2%)Imbalance
제출(발의)자 has 10 (1.4%) missing valuesMissing
본회의보고일 has 20 (2.8%) missing valuesMissing
위윈회처리 회부일 has 353 (49.3%) missing valuesMissing
위원회처리 처리일 has 352 (49.2%) missing valuesMissing
본회의의결 보고접수일 has 104 (14.5%) missing valuesMissing
본회의의결 상정일 has 28 (3.9%) missing valuesMissing
본회의의결 처리일 has 28 (3.9%) missing valuesMissing
이송일 has 244 (34.1%) missing valuesMissing
공포일자 has 705 (98.5%) missing valuesMissing
공포번호 has 706 (98.6%) missing valuesMissing
비고 has 536 (74.9%) missing valuesMissing

Reproduction

Analysis started2023-12-12 15:09:25.913208
Analysis finished2023-12-12 15:09:28.097363
Duration2.18 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

대수
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
8 대
187 
5 대
116 
7 대
110 
4 대
87 
6 대
84 
Other values (4)
132 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row9 대
2nd row9 대
3rd row9 대
4th row9 대
5th row9 대

Common Values

ValueCountFrequency (%)
8 대 187
26.1%
5 대 116
16.2%
7 대 110
15.4%
4 대 87
12.2%
6 대 84
11.7%
2 대 47
 
6.6%
3 대 44
 
6.1%
1 대 21
 
2.9%
9 대 20
 
2.8%

Length

2023-12-13T00:09:28.162548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:09:28.312163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대 716
50.0%
8 187
 
13.1%
5 116
 
8.1%
7 110
 
7.7%
4 87
 
6.1%
6 84
 
5.9%
2 47
 
3.3%
3 44
 
3.1%
1 21
 
1.5%
9 20
 
1.4%

의안번호
Real number (ℝ)

HIGH CORRELATION 

Distinct708
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1271.6411
Minimum0
Maximum2331
Zeros7
Zeros (%)1.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-13T00:09:28.449886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile162.75
Q1803.75
median1231
Q31896.25
95-th percentile2234.25
Maximum2331
Range2331
Interquartile range (IQR)1092.5

Descriptive statistics

Standard deviation653.20528
Coefficient of variation (CV)0.51367111
Kurtosis-1.0966346
Mean1271.6411
Median Absolute Deviation (MAD)489
Skewness-0.053875494
Sum910495
Variance426677.13
MonotonicityNot monotonic
2023-12-13T00:09:28.622763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
1.0%
1810 2
 
0.3%
2136 2
 
0.3%
863 1
 
0.1%
890 1
 
0.1%
886 1
 
0.1%
869 1
 
0.1%
868 1
 
0.1%
867 1
 
0.1%
866 1
 
0.1%
Other values (698) 698
97.5%
ValueCountFrequency (%)
0 7
1.0%
95 1
 
0.1%
96 1
 
0.1%
97 1
 
0.1%
98 1
 
0.1%
99 1
 
0.1%
100 1
 
0.1%
101 1
 
0.1%
102 1
 
0.1%
103 1
 
0.1%
ValueCountFrequency (%)
2331 1
0.1%
2330 1
0.1%
2329 1
0.1%
2328 1
0.1%
2327 1
0.1%
2326 1
0.1%
2325 1
0.1%
2324 1
0.1%
2323 1
0.1%
2322 1
0.1%

의안명
Text

Distinct570
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
2023-12-13T00:09:28.900619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length27.333799
Min length8

Characters and Unicode

Total characters19571
Distinct characters377
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

Unique523 ?
Unique (%)73.0%

Sample

1st row기장군 장안읍 대규모 산업폐기물 매립장 설치 반대 결의안
2nd row기장군 그린벨트 해제 촉구 결의안
3rd row정관꿈의행복타운 아쿠아드림파크 조성사업에 대한 감사원 감사 청구의 건
4th row오시리아 관광단지 교통대응 촉구 건의문안
5th row교육여건 개선을 위한 정관신도시 중·고등학교 추가 건립 촉구 결의안
ValueCountFrequency (%)
부산광역시 329
 
8.2%
기장군 208
 
5.2%
및 175
 
4.3%
건 174
 
4.3%
조례안 151
 
3.7%
관한 141
 
3.5%
기장군의회 123
 
3.0%
일부개정조례안 97
 
2.4%
위한 94
 
2.3%
조례 83
 
2.1%
Other values (1012) 2458
60.9%
2023-12-13T00:09:29.400169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3317
 
16.9%
의 662
 
3.4%
군 562
 
2.9%
부 546
 
2.8%
조 517
 
2.6%
안 496
 
2.5%
기 484
 
2.5%
장 474
 
2.4%
정 473
 
2.4%
례 463
 
2.4%
Other values (367) 11577
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 15669
80.1%
Space Separator 3317
 
16.9%
Decimal Number 440
 
2.2%
Other Punctuation 68
 
0.3%
Open Punctuation 27
 
0.1%
Close Punctuation 27
 
0.1%
Uppercase Letter 12
 
0.1%
Modifier Symbol 6
 
< 0.1%
Dash Punctuation 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 662
 
4.2%
군 562
 
3.6%
부 546
 
3.5%
조 517
 
3.3%
안 496
 
3.2%
기 484
 
3.1%
장 474
 
3.0%
정 473
 
3.0%
례 463
 
3.0%
산 462
 
2.9%
Other values (338) 10530
67.2%
Decimal Number
ValueCountFrequency (%)
0 142
32.3%
2 118
26.8%
1 67
15.2%
9 27
 
6.1%
5 20
 
4.5%
6 17
 
3.9%
8 14
 
3.2%
7 13
 
3.0%
4 12
 
2.7%
3 10
 
2.3%
Uppercase Letter
ValueCountFrequency (%)
K 4
33.3%
X 3
25.0%
T 3
25.0%
G 1
 
8.3%
V 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
· 49
72.1%
. 15
 
22.1%
, 3
 
4.4%
! 1
 
1.5%
Open Punctuation
ValueCountFrequency (%)
( 22
81.5%
「 3
 
11.1%
『 2
 
7.4%
Close Punctuation
ValueCountFrequency (%)
) 22
81.5%
」 3
 
11.1%
』 2
 
7.4%
Space Separator
ValueCountFrequency (%)
3317
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 15669
80.1%
Common 3890
 
19.9%
Latin 12
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 662
 
4.2%
군 562
 
3.6%
부 546
 
3.5%
조 517
 
3.3%
안 496
 
3.2%
기 484
 
3.1%
장 474
 
3.0%
정 473
 
3.0%
례 463
 
3.0%
산 462
 
2.9%
Other values (338) 10530
67.2%
Common
ValueCountFrequency (%)
3317
85.3%
0 142
 
3.7%
2 118
 
3.0%
1 67
 
1.7%
· 49
 
1.3%
9 27
 
0.7%
( 22
 
0.6%
) 22
 
0.6%
5 20
 
0.5%
6 17
 
0.4%
Other values (14) 89
 
2.3%
Latin
ValueCountFrequency (%)
K 4
33.3%
X 3
25.0%
T 3
25.0%
G 1
 
8.3%
V 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 15668
80.1%
ASCII 3843
 
19.6%
None 59
 
0.3%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3317
86.3%
0 142
 
3.7%
2 118
 
3.1%
1 67
 
1.7%
9 27
 
0.7%
( 22
 
0.6%
) 22
 
0.6%
5 20
 
0.5%
6 17
 
0.4%
. 15
 
0.4%
Other values (14) 76
 
2.0%
Hangul
ValueCountFrequency (%)
의 662
 
4.2%
군 562
 
3.6%
부 546
 
3.5%
조 517
 
3.3%
안 496
 
3.2%
기 484
 
3.1%
장 474
 
3.0%
정 473
 
3.0%
례 463
 
3.0%
산 462
 
2.9%
Other values (337) 10529
67.2%
None
ValueCountFrequency (%)
· 49
83.1%
「 3
 
5.1%
」 3
 
5.1%
』 2
 
3.4%
『 2
 
3.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

발의일(제출일)
Date

Distinct414
Distinct (%)58.4%
Missing7
Missing (%)1.0%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2022-09-29 00:00:00
2023-12-13T00:09:29.951991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:30.116464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

제출(발의)자
Text

MISSING 

Distinct292
Distinct (%)41.4%
Missing10
Missing (%)1.4%
Memory size5.7 KiB
2023-12-13T00:09:30.425942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length9.1713881
Min length2

Characters and Unicode

Total characters6475
Distinct characters136
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique176 ?
Unique (%)24.9%

Sample

1st row구본영 의원 외 8명
2nd row박기조 의원 외 8명
3rd row교육복지행정위원회
4th row허준섭 의원 외 8명
5th row김원일 의원 외 8명
ValueCountFrequency (%)
외 321
18.7%
의원 225
 
13.1%
7명 108
 
6.3%
7 77
 
4.5%
6 56
 
3.3%
황운철 47
 
2.7%
김대군 37
 
2.2%
박우식 33
 
1.9%
기획감사실 26
 
1.5%
5인 26
 
1.5%
Other values (217) 759
44.3%
2023-12-13T00:09:30.950916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1009
 
15.6%
의 722
 
11.2%
원 589
 
9.1%
외 507
 
7.8%
김 212
 
3.3%
명 195
 
3.0%
7 185
 
2.9%
정 151
 
2.3%
우 150
 
2.3%
) 129
 
2.0%
Other values (126) 2626
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4691
72.4%
Space Separator 1009
 
15.6%
Decimal Number 507
 
7.8%
Close Punctuation 129
 
2.0%
Open Punctuation 129
 
2.0%
Other Punctuation 10
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 722
 
15.4%
원 589
 
12.6%
외 507
 
10.8%
김 212
 
4.5%
명 195
 
4.2%
정 151
 
3.2%
우 150
 
3.2%
발 129
 
2.7%
장 100
 
2.1%
사 77
 
1.6%
Other values (113) 1859
39.6%
Decimal Number
ValueCountFrequency (%)
7 185
36.5%
6 101
19.9%
5 95
18.7%
1 38
 
7.5%
2 35
 
6.9%
4 23
 
4.5%
8 16
 
3.2%
3 14
 
2.8%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
/ 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1009
100.0%
Close Punctuation
ValueCountFrequency (%)
) 129
100.0%
Open Punctuation
ValueCountFrequency (%)
( 129
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4683
72.3%
Common 1784
 
27.6%
Han 8
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 722
 
15.4%
원 589
 
12.6%
외 507
 
10.8%
김 212
 
4.5%
명 195
 
4.2%
정 151
 
3.2%
우 150
 
3.2%
발 129
 
2.8%
장 100
 
2.1%
사 77
 
1.6%
Other values (112) 1851
39.5%
Common
ValueCountFrequency (%)
1009
56.6%
7 185
 
10.4%
) 129
 
7.2%
( 129
 
7.2%
6 101
 
5.7%
5 95
 
5.3%
1 38
 
2.1%
2 35
 
2.0%
4 23
 
1.3%
8 16
 
0.9%
Other values (3) 24
 
1.3%
Han
ValueCountFrequency (%)
人 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4683
72.3%
ASCII 1784
 
27.6%
CJK 8
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1009
56.6%
7 185
 
10.4%
) 129
 
7.2%
( 129
 
7.2%
6 101
 
5.7%
5 95
 
5.3%
1 38
 
2.1%
2 35
 
2.0%
4 23
 
1.3%
8 16
 
0.9%
Other values (3) 24
 
1.3%
Hangul
ValueCountFrequency (%)
의 722
 
15.4%
원 589
 
12.6%
외 507
 
10.8%
김 212
 
4.5%
명 195
 
4.2%
정 151
 
3.2%
우 150
 
3.2%
발 129
 
2.8%
장 100
 
2.1%
사 77
 
1.6%
Other values (112) 1851
39.5%
CJK
ValueCountFrequency (%)
人 8
100.0%

본회의보고일
Date

MISSING 

Distinct283
Distinct (%)40.7%
Missing20
Missing (%)2.8%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T00:09:31.140037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:31.345121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

소관위원회
Categorical

HIGH CORRELATION 

Distinct39
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
342 
의회운영기획위원회
64 
운영행정위원회
45 
경제안전도시위원회
37 
조례예산등심사특별위원회
36 
Other values (34)
192 

Length

Max length27
Median length18
Mean length6.8030726
Min length3

Unique

Unique18 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 342
47.8%
의회운영기획위원회 64
 
8.9%
운영행정위원회 45
 
6.3%
경제안전도시위원회 37
 
5.2%
조례예산등심사특별위원회 36
 
5.0%
교육복지행정위원회 35
 
4.9%
복지건설위원회 24
 
3.4%
조례등심사특별위원회 19
 
2.7%
조례심사특별위원회 18
 
2.5%
행정사무감사특별위원회 14
 
2.0%
Other values (29) 82
 
11.5%

Length

2023-12-13T00:09:31.526370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 342
47.6%
의회운영기획위원회 64
 
8.9%
운영행정위원회 45
 
6.3%
경제안전도시위원회 37
 
5.2%
조례예산등심사특별위원회 36
 
5.0%
교육복지행정위원회 35
 
4.9%
복지건설위원회 24
 
3.3%
조례등심사특별위원회 19
 
2.6%
조례심사특별위원회 18
 
2.5%
행정사무감사특별위원회 14
 
1.9%
Other values (31) 84
 
11.7%

위윈회처리 회부일
Date

MISSING 

Distinct167
Distinct (%)46.0%
Missing353
Missing (%)49.3%
Memory size5.7 KiB
Minimum1995-07-27 00:00:00
Maximum2022-08-31 00:00:00
2023-12-13T00:09:31.705772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:31.852131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리 처리일
Date

MISSING 

Distinct187
Distinct (%)51.4%
Missing352
Missing (%)49.2%
Memory size5.7 KiB
Minimum1995-07-27 00:00:00
Maximum2022-09-27 00:00:00
2023-12-13T00:09:32.039274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:32.217650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회처리 결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
<NA>
353 
원안가결
270 
수정가결
51 
본회의 미상정
 
12
부결
 
9
Other values (10)
 
21

Length

Max length7
Median length4
Mean length3.9986034
Min length2

Unique

Unique6 ?
Unique (%)0.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 353
49.3%
원안가결 270
37.7%
수정가결 51
 
7.1%
본회의 미상정 12
 
1.7%
부결 9
 
1.3%
보류 4
 
0.6%
채택 4
 
0.6%
가결 4
 
0.6%
원안채택 3
 
0.4%
본회의미상정 1
 
0.1%
Other values (5) 5
 
0.7%

Length

2023-12-13T00:09:32.368813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 353
48.4%
원안가결 270
37.0%
수정가결 51
 
7.0%
본회의 12
 
1.6%
미상정 12
 
1.6%
부결 9
 
1.2%
채택 4
 
0.5%
가결 4
 
0.5%
보류 4
 
0.5%
원안채택 3
 
0.4%
Other values (7) 7
 
1.0%

본회의의결 보고접수일
Date

MISSING 

Distinct321
Distinct (%)52.5%
Missing104
Missing (%)14.5%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T00:09:32.550665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:32.828535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결 상정일
Date

MISSING 

Distinct305
Distinct (%)44.3%
Missing28
Missing (%)3.9%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T00:09:33.014307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:33.186203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결 처리일
Date

MISSING 

Distinct309
Distinct (%)44.9%
Missing28
Missing (%)3.9%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2022-09-30 00:00:00
2023-12-13T00:09:33.395252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:33.654895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

본회의의결 결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct15
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
원안가결
533 
원안채택
55 
수정가결
54 
<NA>
 
33
채택
 
12
Other values (10)
 
29

Length

Max length10
Median length4
Mean length3.9329609
Min length2

Unique

Unique7 ?
Unique (%)1.0%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 533
74.4%
원안채택 55
 
7.7%
수정가결 54
 
7.5%
<NA> 33
 
4.6%
채택 12
 
1.7%
부결 10
 
1.4%
가결 9
 
1.3%
의견서채택 3
 
0.4%
본회의 미상정 1
 
0.1%
미상정 1
 
0.1%
Other values (5) 5
 
0.7%

Length

2023-12-13T00:09:33.869454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 533
74.0%
원안채택 55
 
7.6%
수정가결 54
 
7.5%
na 33
 
4.6%
채택 14
 
1.9%
부결 10
 
1.4%
가결 10
 
1.4%
의견서채택 3
 
0.4%
미상정 2
 
0.3%
본회의 1
 
0.1%
Other values (5) 5
 
0.7%

이송일
Date

MISSING 

Distinct199
Distinct (%)42.2%
Missing244
Missing (%)34.1%
Memory size5.7 KiB
Minimum1995-07-29 00:00:00
Maximum2022-10-04 00:00:00
2023-12-13T00:09:34.086492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:34.234841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공포일자
Date

MISSING 

Distinct6
Distinct (%)54.5%
Missing705
Missing (%)98.5%
Memory size5.7 KiB
Minimum1995-03-07 00:00:00
Maximum2017-07-07 00:00:00
2023-12-13T00:09:34.359506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:34.518771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)

공포번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct10
Distinct (%)100.0%
Missing706
Missing (%)98.6%
Infinite0
Infinite (%)0.0%
Mean51.5
Minimum1
Maximum137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.4 KiB
2023-12-13T00:09:34.663790image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.45
Q13.25
median6
Q3114.75
95-th percentile132.5
Maximum137
Range136
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation62.093567
Coefficient of variation (CV)1.2057003
Kurtosis-2.1490965
Mean51.5
Median Absolute Deviation (MAD)4.5
Skewness0.51955969
Sum515
Variance3855.6111
MonotonicityNot monotonic
2023-12-13T00:09:34.803352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
7 1
 
0.1%
137 1
 
0.1%
127 1
 
0.1%
115 1
 
0.1%
114 1
 
0.1%
5 1
 
0.1%
4 1
 
0.1%
3 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
(Missing) 706
98.6%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
7 1
0.1%
114 1
0.1%
115 1
0.1%
127 1
0.1%
137 1
0.1%
ValueCountFrequency (%)
137 1
0.1%
127 1
0.1%
115 1
0.1%
114 1
0.1%
7 1
0.1%
5 1
0.1%
4 1
0.1%
3 1
0.1%
2 1
0.1%
1 1
0.1%

비고
Text

MISSING 

Distinct55
Distinct (%)30.6%
Missing536
Missing (%)74.9%
Memory size5.7 KiB
2023-12-13T00:09:35.076093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length9
Mean length8.3888889
Min length4

Characters and Unicode

Total characters1510
Distinct characters34
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

Unique23 ?
Unique (%)12.8%

Sample

1st row143회 임시회
2nd row143회 임시회
3rd row143회 임시회
4th row143회 임시회
5th row142회 정례회
ValueCountFrequency (%)
임시회 105
29.3%
정례회 72
20.1%
제120회 20
 
5.6%
130회 14
 
3.9%
제110회 10
 
2.8%
제119회 8
 
2.2%
104회 8
 
2.2%
제106회 8
 
2.2%
제108회 7
 
2.0%
102회 6
 
1.7%
Other values (48) 100
27.9%
2023-12-13T00:09:36.121283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 355
23.5%
1 204
13.5%
178
11.8%
임 105
 
7.0%
시 105
 
7.0%
0 89
 
5.9%
제 84
 
5.6%
정 74
 
4.9%
례 72
 
4.8%
2 56
 
3.7%
Other values (24) 188
12.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 812
53.8%
Decimal Number 516
34.2%
Space Separator 178
 
11.8%
Other Punctuation 2
 
0.1%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 355
43.7%
임 105
 
12.9%
시 105
 
12.9%
제 84
 
10.3%
정 74
 
9.1%
례 72
 
8.9%
구 2
 
0.2%
수 2
 
0.2%
의 2
 
0.2%
장 1
 
0.1%
Other values (10) 10
 
1.2%
Decimal Number
ValueCountFrequency (%)
1 204
39.5%
0 89
17.2%
2 56
 
10.9%
3 51
 
9.9%
9 30
 
5.8%
8 27
 
5.2%
4 22
 
4.3%
6 15
 
2.9%
7 11
 
2.1%
5 11
 
2.1%
Space Separator
ValueCountFrequency (%)
178
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 812
53.8%
Common 698
46.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 355
43.7%
임 105
 
12.9%
시 105
 
12.9%
제 84
 
10.3%
정 74
 
9.1%
례 72
 
8.9%
구 2
 
0.2%
수 2
 
0.2%
의 2
 
0.2%
장 1
 
0.1%
Other values (10) 10
 
1.2%
Common
ValueCountFrequency (%)
1 204
29.2%
178
25.5%
0 89
12.8%
2 56
 
8.0%
3 51
 
7.3%
9 30
 
4.3%
8 27
 
3.9%
4 22
 
3.2%
6 15
 
2.1%
7 11
 
1.6%
Other values (4) 15
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 812
53.8%
ASCII 698
46.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 355
43.7%
임 105
 
12.9%
시 105
 
12.9%
제 84
 
10.3%
정 74
 
9.1%
례 72
 
8.9%
구 2
 
0.2%
수 2
 
0.2%
의 2
 
0.2%
장 1
 
0.1%
Other values (10) 10
 
1.2%
ASCII
ValueCountFrequency (%)
1 204
29.2%
178
25.5%
0 89
12.8%
2 56
 
8.0%
3 51
 
7.3%
9 30
 
4.3%
8 27
 
3.9%
4 22
 
3.2%
6 15
 
2.1%
7 11
 
1.6%
Other values (4) 15
 
2.1%

의안종류
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size5.7 KiB
기타안건
234 
조례안-의원
224 
조례안-군수
72 
결의안
62 
건의안
56 
Other values (7)
68 

Length

Max length7
Median length6
Mean length4.6187151
Min length2

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row결의안
2nd row결의안
3rd row기타안건
4th row건의안
5th row결의안

Common Values

ValueCountFrequency (%)
기타안건 234
32.7%
조례안-의원 224
31.3%
조례안-군수 72
 
10.1%
결의안 62
 
8.7%
건의안 56
 
7.8%
규칙안 30
 
4.2%
동의안/승인안 11
 
1.5%
예산안 10
 
1.4%
청원 9
 
1.3%
공유재산 4
 
0.6%
Other values (2) 4
 
0.6%

Length

2023-12-13T00:09:36.350379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타안건 234
32.7%
조례안-의원 224
31.3%
조례안-군수 72
 
10.1%
결의안 62
 
8.7%
건의안 56
 
7.8%
규칙안 30
 
4.2%
동의안/승인안 11
 
1.5%
예산안 10
 
1.4%
청원 9
 
1.3%
공유재산 4
 
0.6%
Other values (2) 4
 
0.6%

Interactions

2023-12-13T00:09:27.244353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:27.056733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:27.350240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:09:27.142469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:09:36.470600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대수의안번호소관위원회위원회처리 결과본회의의결 결과공포일자공포번호비고의안종류
대수1.0000.9150.8980.3000.4321.0000.8981.0000.549
의안번호0.9151.0000.9000.3080.4191.0000.0000.9970.535
소관위원회0.8980.9001.0000.9080.8671.0000.0000.9710.892
위원회처리 결과0.3000.3080.9081.0000.967NaNNaN0.9240.748
본회의의결 결과0.4320.4190.8670.9671.0000.0000.0000.8630.623
공포일자1.0001.0001.000NaN0.0001.0001.0000.0000.969
공포번호0.8980.0000.000NaN0.0001.0001.000NaN0.963
비고1.0000.9970.9710.9240.8630.000NaN1.0000.725
의안종류0.5490.5350.8920.7480.6230.9690.9630.7251.000
2023-12-13T00:09:36.657437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
본회의의결 결과소관위원회위원회처리 결과대수의안종류
본회의의결 결과1.0000.4760.8300.1970.290
소관위원회0.4761.0000.5240.5960.553
위원회처리 결과0.8300.5241.0000.1350.419
대수0.1970.5960.1351.0000.269
의안종류0.2900.5530.4190.2691.000
2023-12-13T00:09:36.805726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
의안번호공포번호대수소관위원회위원회처리 결과본회의의결 결과의안종류
의안번호1.0000.8790.7320.5690.1280.1830.257
공포번호0.8791.0000.5980.0001.0000.0000.756
대수0.7320.5981.0000.5960.1350.1970.269
소관위원회0.5690.0000.5961.0000.5240.4760.553
위원회처리 결과0.1281.0000.1350.5241.0000.8300.419
본회의의결 결과0.1830.0000.1970.4760.8301.0000.290
의안종류0.2570.7560.2690.5530.4190.2901.000

Missing values

2023-12-13T00:09:27.498948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:09:27.748404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-12-13T00:09:27.947356image/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

대수의안번호의안명발의일(제출일)제출(발의)자본회의보고일소관위원회위윈회처리 회부일위원회처리 처리일위원회처리 결과본회의의결 보고접수일본회의의결 상정일본회의의결 처리일본회의의결 결과이송일공포일자공포번호비고의안종류
09 대2331기장군 장안읍 대규모 산업폐기물 매립장 설치 반대 결의안2022-09-29구본영 의원 외 8명2022-09-30<NA><NA><NA><NA>2022-09-302022-09-302022-09-30원안가결<NA><NA><NA><NA>결의안
19 대2330기장군 그린벨트 해제 촉구 결의안2022-09-28박기조 의원 외 8명2022-09-30<NA><NA><NA><NA>2022-09-302022-09-302022-09-30원안가결<NA><NA><NA><NA>결의안
29 대2329정관꿈의행복타운 아쿠아드림파크 조성사업에 대한 감사원 감사 청구의 건2022-09-28교육복지행정위원회2022-09-30교육복지행정위원회<NA>2022-09-27원안가결2022-09-282022-09-302022-09-30원안가결<NA><NA><NA><NA>기타안건
39 대2328오시리아 관광단지 교통대응 촉구 건의문안2022-09-26허준섭 의원 외 8명2022-09-30<NA><NA><NA><NA>2022-09-302022-09-302022-09-30원안가결<NA><NA><NA><NA>건의안
49 대2327교육여건 개선을 위한 정관신도시 중·고등학교 추가 건립 촉구 결의안2022-09-26김원일 의원 외 8명2022-09-30<NA><NA><NA><NA>2022-09-302022-09-302022-09-30원안가결<NA><NA><NA><NA>결의안
59 대23262022년도 행정사무감사 결과 보고서 채택의 건2022-09-29각 상임위원회2022-09-30<NA><NA><NA><NA>2022-09-302022-09-302022-09-30원안가결2022-09-30<NA><NA><NA>기타안건
69 대23252022년 행정사무감사 계획서 변경 및 증인 출석 요구의 건2022-09-13교육복지행정위원회2022-09-14교육복지행정위원회<NA>2022-09-05원안가결2022-09-132022-09-142022-09-14원안가결<NA><NA><NA><NA>기타안건
79 대2324군정질문을 위한 군수 및 관계공무원 출석요구의 건2022-09-14구본영 의원 외 8명2022-09-14<NA><NA><NA><NA>2022-09-142022-09-142022-09-14원안가결<NA><NA><NA><NA>기타안건
89 대2323『대학생 연합기숙사』 조속 건립 촉구 결의안2022-09-14구혜진 의원 외 8명2022-09-14<NA><NA><NA><NA>2022-09-142022-09-142022-09-14원안가결<NA><NA><NA><NA>결의안
99 대2322부산광역시 기장군의회 농림·해양수산 특별위원회 구성 결의안2022-08-31황운철 의원 외 8명2022-09-14의회운영기획위원회2022-08-312022-09-05원안가결2022-09-052022-09-142022-09-14원안가결<NA><NA><NA><NA>결의안
대수의안번호의안명발의일(제출일)제출(발의)자본회의보고일소관위원회위윈회처리 회부일위원회처리 처리일위원회처리 결과본회의의결 보고접수일본회의의결 상정일본회의의결 처리일본회의의결 결과이송일공포일자공포번호비고의안종류
7061 대104부산광역시기장군의회사무직원직부대리규정제정1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA><NA><NA><NA>기타안건
7071 대103부산광역시기장군의회사무과사무분장규정제정1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07워안가결<NA><NA><NA><NA>기타안건
7081 대102부산광역시기장군의회특별위원회방청규정제정1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA><NA><NA><NA>기타안건
7091 대101부산광역시기장군의회공청회운영규정제정1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA><NA><NA><NA>기타안건
7101 대100부산광역시기장군의회규칙공포에관한규정1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07수정가결<NA><NA><NA>자구수정(삽입)기타안건
7111 대99부산광역시기장군의회기및의원배지에관한규칙1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA>1995-03-075<NA>규칙안
7121 대98부산광역시기장군의회청원심사규칙1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA>1995-03-074<NA>규칙안
7131 대97부산광역시기장군의회의원신분증규칙1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA>1995-03-073<NA>규칙안
7141 대96부산광역시기장군의회사무과직제규칙1995-03-07권성학의원외1<NA><NA><NA><NA><NA>1995-03-071995-03-071995-03-07원안가결<NA>1995-03-072<NA>규칙안
7151 대95부산광역시기장군의회회의규칙1995-03-07권성학의원외11995-03-07<NA><NA><NA><NA>1995-03-071995-03-071995-03-07수정가결<NA>1995-03-071지구수정규칙안

Duplicate rows

Most frequently occurring

대수의안번호의안명발의일(제출일)제출(발의)자본회의보고일소관위원회위윈회처리 회부일위원회처리 처리일위원회처리 결과본회의의결 보고접수일본회의의결 상정일본회의의결 처리일본회의의결 결과이송일공포일자공포번호비고의안종류# duplicates
07 대0부산광역시 기장군 재난취약계층 지원 조례안2017-10-20김정우 의원 외 6명2017-11-06경제안전도시위원회2017-10-202017-11-08수정가결2017-11-082017-11-152017-11-15수정가결2017-11-15<NA><NA><NA>조례안-의원2
18 대1810부산광역시 기장군의회에서 증언·감정 등에 관한 조례 일부개정조례안2018-08-29의원발의(우성빈 외 7)2018-09-03의회운영기획위원회2018-08-292018-09-13원안가결2018-09-132018-09-212018-09-21원안가결2018-09-21<NA><NA><NA>조례안-의원2