Overview

Dataset statistics

Number of variables18
Number of observations1000
Missing cells1411
Missing cells (%)7.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory143.7 KiB
Average record size in memory147.1 B

Variable types

Numeric2
Text5
DateTime7
Categorical4

Dataset

Description기장군 의회에서 승인하거나 제,개정하는 조례안 관련 데이터로 개정안 제안자, 제안날짜, 제안제목, 보고일, 관련 위원회, 위원회날짜, 위원회 결과, 총회날짜(부결시 여러 차례 열릴 수 있음), 총회 결과, 결과 전송일, 공표일, 임시회 회수, 대수 등 정보를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15121297/fileData.do

Alerts

위원회결과 is highly overall correlated with 총회 결과High correlation
총회 결과 is highly overall correlated with 위원회결과High correlation
공표 날짜 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
대수 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
번호 is highly overall correlated with 차수 and 2 other fieldsHigh correlation
차수 is highly overall correlated with 번호 and 2 other fieldsHigh correlation
위원회결과 is highly imbalanced (54.5%)Imbalance
총회 결과 is highly imbalanced (60.6%)Imbalance
공표 날짜 is highly imbalanced (77.1%)Imbalance
보고날짜 has 37 (3.7%) missing valuesMissing
위원회 has 172 (17.2%) missing valuesMissing
위원회날짜1 has 180 (18.0%) missing valuesMissing
위원회날짜2 has 180 (18.0%) missing valuesMissing
총회 날짜1 has 13 (1.3%) missing valuesMissing
총회 날짜2 has 11 (1.1%) missing valuesMissing
총회 날짜3 has 11 (1.1%) missing valuesMissing
전송 날짜 has 172 (17.2%) missing valuesMissing
임시회 회수 has 627 (62.7%) missing valuesMissing
번호 has unique valuesUnique
차수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:35:38.457047
Analysis finished2023-12-12 19:35:40.911165
Duration2.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean504.001
Minimum3
Maximum1007
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T04:35:40.985507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile52.95
Q1252.75
median504.5
Q3754.25
95-th percentile955.05
Maximum1007
Range1004
Interquartile range (IQR)501.5

Descriptive statistics

Standard deviation289.71712
Coefficient of variation (CV)0.57483441
Kurtosis-1.1985955
Mean504.001
Median Absolute Deviation (MAD)251
Skewness-0.0016590806
Sum504001
Variance83936.007
MonotonicityNot monotonic
2023-12-13T04:35:41.123156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
532 1
 
0.1%
677 1
 
0.1%
664 1
 
0.1%
665 1
 
0.1%
666 1
 
0.1%
667 1
 
0.1%
668 1
 
0.1%
669 1
 
0.1%
670 1
 
0.1%
671 1
 
0.1%
Other values (990) 990
99.0%
ValueCountFrequency (%)
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%
11 1
0.1%
12 1
0.1%
ValueCountFrequency (%)
1007 1
0.1%
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%
1000 1
0.1%
998 1
0.1%
997 1
0.1%

차수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct1000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean508.798
Minimum1
Maximum1009
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size8.9 KiB
2023-12-13T04:35:41.261540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile50.95
Q1259.75
median509.5
Q3759.25
95-th percentile959.05
Maximum1009
Range1008
Interquartile range (IQR)499.5

Descriptive statistics

Standard deviation289.94894
Coefficient of variation (CV)0.56987045
Kurtosis-1.1875285
Mean508.798
Median Absolute Deviation (MAD)250
Skewness-0.011544066
Sum508798
Variance84070.39
MonotonicityNot monotonic
2023-12-13T04:35:41.395427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 1
 
0.1%
159 1
 
0.1%
146 1
 
0.1%
147 1
 
0.1%
148 1
 
0.1%
149 1
 
0.1%
150 1
 
0.1%
151 1
 
0.1%
152 1
 
0.1%
153 1
 
0.1%
Other values (990) 990
99.0%
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 (%)
1009 1
0.1%
1008 1
0.1%
1007 1
0.1%
1006 1
0.1%
1005 1
0.1%
1004 1
0.1%
1003 1
0.1%
1002 1
0.1%
1001 1
0.1%
1000 1
0.1%

제목
Text

Distinct812
Distinct (%)81.2%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
2023-12-13T04:35:41.602353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length24.445
Min length6

Characters and Unicode

Total characters24445
Distinct characters297
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique720 ?
Unique (%)72.0%

Sample

1st row부산광역시가장군의회에출석답변할수있는과계공무원의범위에과한조례
2nd row부산광역시 기장군 지방세입 징수포상금지급 조례안
3rd row기장봉대산 근린공원 재조정 및 폐지에 관한 건의안
4th row부산광역시 기장군의회 행정사무감사 및 조사에 관한 조례안
5th row부산광역시 기장군의회 회의규칙안
ValueCountFrequency (%)
부산광역시 329
 
9.9%
기장군 283
 
8.5%
및 110
 
3.3%
개정조례안 103
 
3.1%
관한 92
 
2.8%
일부개정조례안 83
 
2.5%
조례안 72
 
2.2%
건 54
 
1.6%
조례 45
 
1.4%
지방공무원 32
 
1.0%
Other values (1032) 2121
63.8%
2023-12-13T04:35:41.953234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2325
 
9.5%
조 1066
 
4.4%
례 1025
 
4.2%
산 866
 
3.5%
기 830
 
3.4%
안 813
 
3.3%
부 792
 
3.2%
장 754
 
3.1%
시 735
 
3.0%
정 723
 
3.0%
Other values (287) 14516
59.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 21087
86.3%
Space Separator 2325
 
9.5%
Decimal Number 787
 
3.2%
Other Punctuation 150
 
0.6%
Modifier Symbol 46
 
0.2%
Open Punctuation 25
 
0.1%
Close Punctuation 25
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 1066
 
5.1%
례 1025
 
4.9%
산 866
 
4.1%
기 830
 
3.9%
안 813
 
3.9%
부 792
 
3.8%
장 754
 
3.6%
시 735
 
3.5%
정 723
 
3.4%
군 715
 
3.4%
Other values (271) 12768
60.5%
Decimal Number
ValueCountFrequency (%)
0 277
35.2%
2 164
20.8%
9 128
16.3%
1 63
 
8.0%
7 35
 
4.4%
3 30
 
3.8%
8 28
 
3.6%
6 25
 
3.2%
5 22
 
2.8%
4 15
 
1.9%
Other Punctuation
ValueCountFrequency (%)
· 97
64.7%
. 53
35.3%
Space Separator
ValueCountFrequency (%)
2325
100.0%
Modifier Symbol
ValueCountFrequency (%)
` 46
100.0%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 21087
86.3%
Common 3358
 
13.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 1066
 
5.1%
례 1025
 
4.9%
산 866
 
4.1%
기 830
 
3.9%
안 813
 
3.9%
부 792
 
3.8%
장 754
 
3.6%
시 735
 
3.5%
정 723
 
3.4%
군 715
 
3.4%
Other values (271) 12768
60.5%
Common
ValueCountFrequency (%)
2325
69.2%
0 277
 
8.2%
2 164
 
4.9%
9 128
 
3.8%
· 97
 
2.9%
1 63
 
1.9%
. 53
 
1.6%
` 46
 
1.4%
7 35
 
1.0%
3 30
 
0.9%
Other values (6) 140
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 21087
86.3%
ASCII 3261
 
13.3%
None 97
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2325
71.3%
0 277
 
8.5%
2 164
 
5.0%
9 128
 
3.9%
1 63
 
1.9%
. 53
 
1.6%
` 46
 
1.4%
7 35
 
1.1%
3 30
 
0.9%
8 28
 
0.9%
Other values (5) 112
 
3.4%
Hangul
ValueCountFrequency (%)
조 1066
 
5.1%
례 1025
 
4.9%
산 866
 
4.1%
기 830
 
3.9%
안 813
 
3.9%
부 792
 
3.8%
장 754
 
3.6%
시 735
 
3.5%
정 723
 
3.4%
군 715
 
3.4%
Other values (271) 12768
60.5%
None
ValueCountFrequency (%)
· 97
100.0%

제안자
Text

Distinct141
Distinct (%)14.1%
Missing2
Missing (%)0.2%
Memory size7.9 KiB
2023-12-13T04:35:42.168754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length4
Mean length5.3306613
Min length2

Characters and Unicode

Total characters5320
Distinct characters110
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

Unique73 ?
Unique (%)7.3%

Sample

1st row기장군수
2nd row기장군수(세무과)
3rd row김만선의원외 6인
4th row김쌍우의원외 5인
5th row김쌍우의원외 5인
ValueCountFrequency (%)
기장군수 616
57.5%
기획감사실 26
 
2.4%
5인 25
 
2.3%
권성학의원외1 20
 
1.9%
총무과 20
 
1.9%
기장군수(기획감사실 17
 
1.6%
김쌍우의원외 16
 
1.5%
5 14
 
1.3%
기장군수(총무과 13
 
1.2%
손동익의원외 10
 
0.9%
Other values (133) 295
27.5%
2023-12-13T04:35:42.524781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
기 755
14.2%
장 752
14.1%
수 721
13.6%
군 714
13.4%
원 197
 
3.7%
의 166
 
3.1%
외 147
 
2.8%
과 124
 
2.3%
사 97
 
1.8%
) 95
 
1.8%
Other values (100) 1552
29.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4907
92.2%
Decimal Number 147
 
2.8%
Close Punctuation 95
 
1.8%
Open Punctuation 95
 
1.8%
Space Separator 74
 
1.4%
Other Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 755
15.4%
장 752
15.3%
수 721
14.7%
군 714
14.6%
원 197
 
4.0%
의 166
 
3.4%
외 147
 
3.0%
과 124
 
2.5%
사 97
 
2.0%
무 71
 
1.4%
Other values (91) 1163
23.7%
Decimal Number
ValueCountFrequency (%)
5 68
46.3%
1 32
21.8%
2 23
 
15.6%
6 15
 
10.2%
4 9
 
6.1%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4899
92.1%
Common 413
 
7.8%
Han 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 755
15.4%
장 752
15.4%
수 721
14.7%
군 714
14.6%
원 197
 
4.0%
의 166
 
3.4%
외 147
 
3.0%
과 124
 
2.5%
사 97
 
2.0%
무 71
 
1.4%
Other values (90) 1155
23.6%
Common
ValueCountFrequency (%)
) 95
23.0%
( 95
23.0%
74
17.9%
5 68
16.5%
1 32
 
7.7%
2 23
 
5.6%
6 15
 
3.6%
4 9
 
2.2%
, 2
 
0.5%
Han
ValueCountFrequency (%)
人 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4899
92.1%
ASCII 413
 
7.8%
CJK 8
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
기 755
15.4%
장 752
15.4%
수 721
14.7%
군 714
14.6%
원 197
 
4.0%
의 166
 
3.4%
외 147
 
3.0%
과 124
 
2.5%
사 97
 
2.0%
무 71
 
1.4%
Other values (90) 1155
23.6%
ASCII
ValueCountFrequency (%)
) 95
23.0%
( 95
23.0%
74
17.9%
5 68
16.5%
1 32
 
7.7%
2 23
 
5.6%
6 15
 
3.6%
4 9
 
2.2%
, 2
 
0.5%
CJK
ValueCountFrequency (%)
人 8
100.0%

제안날짜
Date

Distinct407
Distinct (%)40.9%
Missing6
Missing (%)0.6%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-02 00:00:00
2023-12-13T04:35:42.649495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:42.783146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

보고날짜
Date

MISSING 

Distinct192
Distinct (%)19.9%
Missing37
Missing (%)3.7%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-09 00:00:00
2023-12-13T04:35:42.918443image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:43.043026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회
Text

MISSING 

Distinct52
Distinct (%)6.3%
Missing172
Missing (%)17.2%
Memory size7.9 KiB
2023-12-13T04:35:43.235834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length10.020531
Min length3

Characters and Unicode

Total characters8297
Distinct characters58
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique19 ?
Unique (%)2.3%

Sample

1st row조례안심의특별위원회
2nd row조례심사특별위원회
3rd row조례심사특별위원회
4th row행정사무감사특별위원회
5th row조례심사특별위원회
ValueCountFrequency (%)
조례심사특별위원회 193
23.3%
조례안심의특별위원회 78
9.4%
조례등심사특별위원회 74
 
8.9%
조례심사특위 58
 
7.0%
조례예산등심사특별위원회 56
 
6.7%
조례예산결산특별위원회 51
 
6.1%
조례.예산결산심사특별위원회 46
 
5.5%
조례예산결산특위 37
 
4.5%
조례예산특별위원회 32
 
3.9%
조례예산결산심사특위 26
 
3.1%
Other values (43) 179
21.6%
2023-12-13T04:35:43.548827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
위 825
9.9%
특 824
9.9%
조 784
9.4%
례 759
9.1%
원 692
8.3%
회 689
8.3%
별 687
8.3%
심 614
7.4%
사 607
7.3%
산 589
7.1%
Other values (48) 1227
14.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8227
99.2%
Other Punctuation 66
 
0.8%
Space Separator 2
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
위 825
10.0%
특 824
10.0%
조 784
9.5%
례 759
9.2%
원 692
8.4%
회 689
8.4%
별 687
8.4%
심 614
7.5%
사 607
7.4%
산 589
7.2%
Other values (43) 1157
14.1%
Other Punctuation
ValueCountFrequency (%)
. 65
98.5%
· 1
 
1.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8227
99.2%
Common 70
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
위 825
10.0%
특 824
10.0%
조 784
9.5%
례 759
9.2%
원 692
8.4%
회 689
8.4%
별 687
8.4%
심 614
7.5%
사 607
7.4%
산 589
7.2%
Other values (43) 1157
14.1%
Common
ValueCountFrequency (%)
. 65
92.9%
2
 
2.9%
· 1
 
1.4%
( 1
 
1.4%
) 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8227
99.2%
ASCII 69
 
0.8%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
위 825
10.0%
특 824
10.0%
조 784
9.5%
례 759
9.2%
원 692
8.4%
회 689
8.4%
별 687
8.4%
심 614
7.5%
사 607
7.4%
산 589
7.2%
Other values (43) 1157
14.1%
ASCII
ValueCountFrequency (%)
. 65
94.2%
2
 
2.9%
( 1
 
1.4%
) 1
 
1.4%
None
ValueCountFrequency (%)
· 1
100.0%

위원회날짜1
Date

MISSING 

Distinct243
Distinct (%)29.6%
Missing180
Missing (%)18.0%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-10 00:00:00
2023-12-13T04:35:43.684914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:43.828893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회날짜2
Date

MISSING 

Distinct276
Distinct (%)33.7%
Missing180
Missing (%)18.0%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-20 00:00:00
2023-12-13T04:35:43.989960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:44.116797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

위원회결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct24
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
원안가결
546 
<NA>
182 
수정가결
137 
부결
 
42
보류
 
33
Other values (19)
60 

Length

Max length35
Median length4
Mean length3.85
Min length2

Unique

Unique14 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 546
54.6%
<NA> 182
 
18.2%
수정가결 137
 
13.7%
부결 42
 
4.2%
보류 33
 
3.3%
가결 31
 
3.1%
채택 6
 
0.6%
보류가결 4
 
0.4%
의견채택 3
 
0.3%
반대의견 2
 
0.2%
Other values (14) 14
 
1.4%

Length

2023-12-13T04:35:44.249737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 546
54.4%
na 182
 
18.1%
수정가결 137
 
13.6%
부결 42
 
4.2%
보류 33
 
3.3%
가결 31
 
3.1%
채택 6
 
0.6%
보류가결 4
 
0.4%
의견채택 3
 
0.3%
의견제시 2
 
0.2%
Other values (16) 18
 
1.8%

총회 날짜1
Date

MISSING 

Distinct222
Distinct (%)22.5%
Missing13
Missing (%)1.3%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-20 00:00:00
2023-12-13T04:35:44.362313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:44.490577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총회 날짜2
Date

MISSING 

Distinct214
Distinct (%)21.6%
Missing11
Missing (%)1.1%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-23 00:00:00
2023-12-13T04:35:44.659803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:44.803740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

총회 날짜3
Text

MISSING 

Distinct219
Distinct (%)22.1%
Missing11
Missing (%)1.1%
Memory size7.9 KiB
2023-12-13T04:35:45.062993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9939333
Min length4

Characters and Unicode

Total characters9884
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

Unique73 ?
Unique (%)7.4%

Sample

1st row1995.03.02
2nd row2007.02.28
3rd row2007.02.20
4th row2007.02.20
5th row2007.02.20
ValueCountFrequency (%)
1995.03.02 85
 
8.6%
1995.03.07 19
 
1.9%
2007.12.03 19
 
1.9%
2006.12.14 16
 
1.6%
2000.05.26 15
 
1.5%
2000.02.29 15
 
1.5%
1998.11.28 12
 
1.2%
2000.10.28 12
 
1.2%
2002.04.15 12
 
1.2%
1996.03.28 12
 
1.2%
Other values (209) 772
78.1%
2023-12-13T04:35:45.466636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2282
23.1%
. 1976
20.0%
2 1322
13.4%
1 1304
13.2%
9 1194
12.1%
3 393
 
4.0%
5 357
 
3.6%
7 320
 
3.2%
8 320
 
3.2%
6 240
 
2.4%
Other values (5) 176
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 7904
80.0%
Other Punctuation 1976
 
20.0%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2282
28.9%
2 1322
16.7%
1 1304
16.5%
9 1194
15.1%
3 393
 
5.0%
5 357
 
4.5%
7 320
 
4.0%
8 320
 
4.0%
6 240
 
3.0%
4 172
 
2.2%
Other Letter
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%
Other Punctuation
ValueCountFrequency (%)
. 1976
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 9880
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2282
23.1%
. 1976
20.0%
2 1322
13.4%
1 1304
13.2%
9 1194
12.1%
3 393
 
4.0%
5 357
 
3.6%
7 320
 
3.2%
8 320
 
3.2%
6 240
 
2.4%
Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 9880
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2282
23.1%
. 1976
20.0%
2 1322
13.4%
1 1304
13.2%
9 1194
12.1%
3 393
 
4.0%
5 357
 
3.6%
7 320
 
3.2%
8 320
 
3.2%
6 240
 
2.4%
Hangul
ValueCountFrequency (%)
원 1
25.0%
안 1
25.0%
가 1
25.0%
결 1
25.0%

총회 결과
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct29
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
원안가결
662 
수정가결
141 
부결
 
43
가결
 
40
보류
 
30
Other values (24)
84 

Length

Max length35
Median length4
Mean length3.837
Min length2

Unique

Unique17 ?
Unique (%)1.7%

Sample

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

Common Values

ValueCountFrequency (%)
원안가결 662
66.2%
수정가결 141
 
14.1%
부결 43
 
4.3%
가결 40
 
4.0%
보류 30
 
3.0%
원안채택 25
 
2.5%
<NA> 15
 
1.5%
채택 14
 
1.4%
보류가결 4
 
0.4%
철회 3
 
0.3%
Other values (19) 23
 
2.3%

Length

2023-12-13T04:35:45.672035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
원안가결 662
65.7%
수정가결 141
 
14.0%
부결 43
 
4.3%
가결 41
 
4.1%
보류 30
 
3.0%
원안채택 26
 
2.6%
채택 16
 
1.6%
na 15
 
1.5%
보류가결 4
 
0.4%
의견서채택 3
 
0.3%
Other values (21) 26
 
2.6%

전송 날짜
Date

MISSING 

Distinct168
Distinct (%)20.3%
Missing172
Missing (%)17.2%
Memory size7.9 KiB
Minimum1995-03-02 00:00:00
Maximum2009-03-24 00:00:00
2023-12-13T04:35:45.802016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:45.958592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

공표 날짜
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct16
Distinct (%)1.6%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
<NA>
860 
1995.03.02
 
84
1995.06.08
 
8
1996.04.01
 
7
1995.04.28
 
6
Other values (11)
 
35

Length

Max length10
Median length4
Mean length4.84
Min length4

Unique

Unique4 ?
Unique (%)0.4%

Sample

1st row1995.03.02
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row2007.02.21

Common Values

ValueCountFrequency (%)
<NA> 860
86.0%
1995.03.02 84
 
8.4%
1995.06.08 8
 
0.8%
1996.04.01 7
 
0.7%
1995.04.28 6
 
0.6%
1995.08.08 6
 
0.6%
1995.11.22 6
 
0.6%
1995.03.07 5
 
0.5%
1995.03.31 5
 
0.5%
1995.12.28 4
 
0.4%
Other values (6) 9
 
0.9%

Length

2023-12-13T04:35:46.126009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 860
86.0%
1995.03.02 84
 
8.4%
1995.06.08 8
 
0.8%
1996.04.01 7
 
0.7%
1995.04.28 6
 
0.6%
1995.08.08 6
 
0.6%
1995.11.22 6
 
0.6%
1995.03.07 5
 
0.5%
1995.03.31 5
 
0.5%
1995.12.28 4
 
0.4%
Other values (6) 9
 
0.9%

임시회 회수
Text

MISSING 

Distinct76
Distinct (%)20.4%
Missing627
Missing (%)62.7%
Memory size7.9 KiB
2023-12-13T04:35:46.349916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length21
Mean length8.2010724
Min length4

Characters and Unicode

Total characters3059
Distinct characters69
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 (%)5.1%

Sample

1st row122회 임시회
2nd row122회 임시회
3rd row122회 임시회
4th row122회 임시회
5th row122회 임시회
ValueCountFrequency (%)
임시회 255
34.3%
정례회 108
 
14.5%
130회 22
 
3.0%
제120회 20
 
2.7%
122회 14
 
1.9%
139회 14
 
1.9%
132회 11
 
1.5%
제110회 10
 
1.3%
100회 10
 
1.3%
95회 9
 
1.2%
Other values (74) 271
36.4%
2023-12-13T04:35:46.786335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
회 729
23.8%
371
12.1%
1 314
10.3%
임 258
 
8.4%
시 256
 
8.4%
0 126
 
4.1%
2 119
 
3.9%
3 114
 
3.7%
정 110
 
3.6%
례 108
 
3.5%
Other values (59) 554
18.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1677
54.8%
Decimal Number 1000
32.7%
Space Separator 371
 
12.1%
Other Punctuation 7
 
0.2%
Dash Punctuation 2
 
0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
회 729
43.5%
임 258
 
15.4%
시 256
 
15.3%
정 110
 
6.6%
례 108
 
6.4%
제 92
 
5.5%
의 12
 
0.7%
기 8
 
0.5%
지 6
 
0.4%
로 5
 
0.3%
Other values (43) 93
 
5.5%
Decimal Number
ValueCountFrequency (%)
1 314
31.4%
0 126
12.6%
2 119
 
11.9%
3 114
 
11.4%
9 95
 
9.5%
8 90
 
9.0%
4 48
 
4.8%
7 35
 
3.5%
5 33
 
3.3%
6 26
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 6
85.7%
/ 1
 
14.3%
Space Separator
ValueCountFrequency (%)
371
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1677
54.8%
Common 1382
45.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
회 729
43.5%
임 258
 
15.4%
시 256
 
15.3%
정 110
 
6.6%
례 108
 
6.4%
제 92
 
5.5%
의 12
 
0.7%
기 8
 
0.5%
지 6
 
0.4%
로 5
 
0.3%
Other values (43) 93
 
5.5%
Common
ValueCountFrequency (%)
371
26.8%
1 314
22.7%
0 126
 
9.1%
2 119
 
8.6%
3 114
 
8.2%
9 95
 
6.9%
8 90
 
6.5%
4 48
 
3.5%
7 35
 
2.5%
5 33
 
2.4%
Other values (6) 37
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1677
54.8%
ASCII 1382
45.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
회 729
43.5%
임 258
 
15.4%
시 256
 
15.3%
정 110
 
6.6%
례 108
 
6.4%
제 92
 
5.5%
의 12
 
0.7%
기 8
 
0.5%
지 6
 
0.4%
로 5
 
0.3%
Other values (43) 93
 
5.5%
ASCII
ValueCountFrequency (%)
371
26.8%
1 314
22.7%
0 126
 
9.1%
2 119
 
8.6%
3 114
 
8.2%
9 95
 
6.9%
8 90
 
6.5%
4 48
 
3.5%
7 35
 
2.5%
5 33
 
2.4%
Other values (6) 37
 
2.7%

대수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size7.9 KiB
3
305 
2
198 
4
189 
5
179 
1
129 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row5
3rd row5
4th row5
5th row5

Common Values

ValueCountFrequency (%)
3 305
30.5%
2 198
19.8%
4 189
18.9%
5 179
17.9%
1 129
12.9%

Length

2023-12-13T04:35:47.358566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:35:47.513903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 305
30.5%
2 198
19.8%
4 189
18.9%
5 179
17.9%
1 129
12.9%

Interactions

2023-12-13T04:35:39.719514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:39.492108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:39.831062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:35:39.602525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:35:47.632204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호차수위원회위원회결과총회 결과공표 날짜임시회 회수대수
번호1.0000.9780.9030.4080.4730.9110.9950.986
차수0.9781.0000.9280.4950.5461.0001.0000.993
위원회0.9030.9281.0000.8220.8620.8500.9880.945
위원회결과0.4080.4950.8221.0000.9950.7950.8440.315
총회 결과0.4730.5460.8620.9951.0000.6890.9140.410
공표 날짜0.9111.0000.8500.7950.6891.0000.0001.000
임시회 회수0.9951.0000.9880.8440.9140.0001.0001.000
대수0.9860.9930.9450.3150.4101.0001.0001.000
2023-12-13T04:35:47.805161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위원회결과총회 결과공표 날짜대수
위원회결과1.0000.9250.4980.159
총회 결과0.9251.0000.3970.208
공표 날짜0.4980.3971.0000.955
대수0.1590.2080.9551.000
2023-12-13T04:35:47.946100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호차수위원회결과총회 결과공표 날짜대수
번호1.000-0.6290.1620.1880.7530.828
차수-0.6291.0000.2050.2270.9550.880
위원회결과0.1620.2051.0000.9250.4980.159
총회 결과0.1880.2270.9251.0000.3970.208
공표 날짜0.7530.9550.4980.3971.0000.955
대수0.8280.8800.1590.2080.9551.000

Missing values

2023-12-13T04:35:40.011669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:35:40.270782image/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.
2023-12-13T04:35:40.771718image/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

번호차수제목제안자제안날짜보고날짜위원회위원회날짜1위원회날짜2위원회결과총회 날짜1총회 날짜2총회 날짜3총회 결과전송 날짜공표 날짜임시회 회수대수
05325부산광역시가장군의회에출석답변할수있는과계공무원의범위에과한조례기장군수1995.03.021995.03.02조례안심의특별위원회1995.03.021995.03.02원안가결1995.03.021995.03.021995.03.02원안가결1995.03.021995.03.02<NA>1
110874부산광역시 기장군 지방세입 징수포상금지급 조례안기장군수(세무과)2006.12.132007.02.20조례심사특별위원회2007.02.232007.02.23수정가결2007.02.282007.02.282007.02.28수정가결2007.02.28<NA>122회 임시회5
23867기장봉대산 근린공원 재조정 및 폐지에 관한 건의안김만선의원외 6인2007.02.152007.02.20<NA><NA><NA><NA>2007.02.202007.02.202007.02.20원안채택2007.02.22<NA>122회 임시회5
34868부산광역시 기장군의회 행정사무감사 및 조사에 관한 조례안김쌍우의원외 5인2007.02.02<NA><NA><NA><NA><NA>2007.02.202007.02.202007.02.20원안가결2007.02.22<NA>122회 임시회5
45869부산광역시 기장군의회 회의규칙안김쌍우의원외 5인2007.01.292007.02.20<NA><NA><NA><NA>2007.02.202007.02.202007.02.20원안가결2007.02.222007.02.21122회 임시회5
56870부산광역시 기장군정조정위원회 조례안기장군수(기획감사실)2007.02.122007.02.20조례심사특별위원회2007.02.212007.02.21원안가결2007.02.282007.02.282007.02.28원안가결2007.02.28<NA>122회 임시회5
6288922007년도 행정사무감사 계획 승인의 건행정사무감사특별위원회2007.06.042007.06.05행정사무감사특별위원회2007.06.042007.06.04원안가결2007.06.052007.06.052007.06.05원안가결2007.06.05<NA>125회 임시회5
77871부산광역시 기장군 리·반설치 조례안기장군수(총무과)2007.02.122007.02.20조례심사특별위원회2007.02.212007.02.21원안가결2007.02.282007.02.282007.02.28원안가결2007.02.28<NA>122회 임시회5
88872부산광역시 기장군 차성문화제 조례안기장군수(문화관광과)2007.02.152007.02.20조례심사특별위원회2007.02.262007.02.26수정가결2007.02.282007.02.282007.02.28수정가결2007.02.28<NA>122회 임시회5
99873부산광역시 기장군 세감면조례안기장군수(세무과)2006.12.132007.02.20조례심사특별위원회2007.02.232007.02.23원안가결2007.02.282007.02.282007.02.28원안가결2007.02.28<NA>122회 임시회5
번호차수제목제안자제안날짜보고날짜위원회위원회날짜1위원회날짜2위원회결과총회 날짜1총회 날짜2총회 날짜3총회 결과전송 날짜공표 날짜임시회 회수대수
990997341부산광역시기장군폐기물관리및수수료등에관한조례개정조례안기장군수1998.07.211998.07.28조례심사특별위원회1998.07.281998.07.29원안가결1998.07.291998.07.301998.07.30원안가결1998.07.31<NA><NA>3
991998336부산광역시기장군고리원전환경감시기구설치및운영에대한지원사업조례제정안기장군수1998.06.09<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>지방자치법제59조에의거의원임기만료로폐기2
99210001005나비생태공원 실시협약 및 사업시행자 지정에 관한 건기장군수(기획감사실)2009.01.152009.01.21민자유치사업심사특별위원회2009.01.222009.01.22원안가결2009.01.232009.01.232009.01.23원안가결2009.01.23<NA>제144회 임시회5
9931001912부산광역시 기장군 도로명주소 등 표기에 관한 조례안기장군수(교통지적과)2007.10.252007.10.31조례등심사특별위원회2007.11.012007.11.05수정가결2007.11.062007.11.072007.11.07수정가결2007.11.07<NA>제129회 임시회5
9941002911부산광역시 기장군 지역자율방재단 운영 등에 관한 조례안기장군수(재난관리과)2007.10.252007.10.31조례등심사특별위원회2007.11.012007.11.02부결2007.11.062007.11.072007.11.07부결2007.11.07<NA>제129회 임시회5
99510039102008년도 공유재산 관리계획안기장군수(총무과)2007.10.252007.10.31조례등심사특별위원회2007.11.012007.11.01원안가결2007.11.062007.11.072007.11.07원안가결2007.11.07<NA>제129회 임시회5
99610041006부산광역시 기장군 도시관리공단 설립 및 운영에 관한 조례안기장군수(기획감사실장)2009.02.032009.03.09예산결산조례등특별위원회2009.03.102009.03.10원안가결2009.03.202009.03.232009.03.23원안가결2009.03.24<NA><NA>5
997100510072009년도 제1회 추가경정 일반특별회계 세입세출예산안기장군수(기획감사실장)2009.03.022009.03.09예산결산조례등특별위원회2009.03.102009.03.20수정가결2009.03.202009.03.232009.03.23수정가결2009.03.24<NA><NA>5
99810061008부산광역시 기장군 이장자녀장학금 지급조례 일부개정조례안기장군수(총무과장)2009.02.032009.03.09예산결산조례등특별위원회2009.03.102009.03.12원안가결2009.03.202009.03.232009.03.23원안가결2009.03.04<NA><NA>5
99910071009부산광역시 기장군 이장징수조례 일부개정조례안기장군수(총무과장)2009.02.252009.03.09예산결산조례등특별위원회2009.03.102009.03.12원안가결2009.03.202009.03.232009.03.23원안가결2009.03.24<NA><NA>5